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Increasing plant productivity to increase sugar production can be done by developing new superior varieties from crossing superior sugarcane clones. The research aimed to obtain clones from crossing with higher sugar yields than the female parents. The study was done at IP2TP Karangploso, Malang, Indonesia, from December 2020 to November 2022. As many as 24 clones from polycross and one female parent were arranged in a Randomized Block Design with 2 replications. The results showed that 11 polycross clones (19/P3/2, 19/P3/4, 19/P3/7, 19/P3/10, 19/P3/13, 19/P3/16, 19/P3/17, 19/P3/20, 19/P3/28, 19/P3/32, and 19/P3/34) produced sugar 15.54-105.04% higher than the female parent (6.19 t/ha).

This study aims to identify the supply chain condition of the red snapper fish processing industry, assess the supply chain performance, and recommend performance improvements based on the performance measurement results. The study was conducted in Brondong District, Lamongan Regency, East Java, Indonesia. The methods used are the Supply Chain Operations Reference (SCOR) model and the Analytical Hierarchy Process (AHP), which measure effectiveness and efficiency parameters. Data were collected through interviews and field observations with expert respondents representing fishermen, collectors, and the fish processing industry. The results showed that the supply chain performance of the fishermen, collectors, and fish processing industry was 67.52% (poor), 88.11% (average), and 95.09% (excellent). The low performance was mainly in the fish catch composition accuracy and raw material handling practices. Root cause analysis was conducted to identify the leading causes, such as poor raw material quality, high raw material costs, and low cash-to-cash cycle time. Recommendations for improvement include handling raw materials training, using better cooling technology, and accelerating debt payments. Implementing lean supply chain management with the 5S system will improve operational efficiency and final product quality. Support from all stakeholders and government is essential for successfully implementing this strategy. Further study on the impact of lean implementation on environmental and social sustainability and exploration of new technologies for efficient fish handling and processing is needed.

Risk assessment in agro-food supply chains is crucial in managing the complexity and uncertainty associated with food product production, distribution, and consumption. This study aims to classify risks and mapping techniques or approaches used in risk assessment of agro-food product supply chains. Mapping technique or approaches to risk assessment of agro-food supply chains was carried out based on the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) framework, which consists of several stages of identification, screening eligibility, and inclusion, resulting in a total of 72 relevant journal articles. They were selected from 58 different journals with high-impact factors and rankings. The literature review results show that agro-food's supply chain risk classification has much to do with risk assessment: macro-level risk, operational risk outside the company, and internal risk. Furthermore, the most studied agro-food products are general food (44%), horticultural products (28%), meat products (11%), dairy products (10%), fishery products (6%) and bread products (1%). The techniques and approaches most widely used in assessing the risk of the agro-food supply chain are semi-quantitative (49.3%), quantitative (31.5%), mixed (12.3%), and qualitative (6.9%). A better knowledge of the topic being addressed in the research community is sped up by identifying these techniques and approaches since the literature on supply chain risk management for agro-food is voluminous, complicated, and challenging to grasp.

Information technology is getting faster and more advanced. Many activities utilize information technology in helping a job. Currently, information media is not only through print media but there are already media that utilize information technology to be able to reach the wider community. The emergence of websites has a positive impact on getting information widely and can be accessed anytime and anywhere. This provides the best solution for community service partners, namely Al-Barra Studio located in Malang City. Al-Barra Studio is engaged in video content, namely making video recordings for mosque Qori and Imam later people who are interested in using the services of mosque Qori or Imam can contact Al-Barra Studio. The development of this website uses parallel development with the help of using the concept of Custom Management System in the form of WordPress. It is hoped that the presence of this website can help in promotional media from Al-Barra Studio so that it can be known by the public at large and as a media for da'wah through information technology facilities.

This study aimed to determine the effect of cardio and tabata training on reducing body fat and increasing aerobic capacity. This research is an experimental research with a pre and post-control group design. The research sample was split into three groups, each with 9 participants: control group (K1), cardio group (K2), and Tabata group (K3), group division was carried out randomly on research subjects. K1 without any exercise, whereas K2 (cardio) is running and skipping at an intensity of 55% and 70% of one's maximum heart rate. K3 (Tabata) performs burpees and jogging with a 90% – 95% HR maximum intensity. A skinfold calliper was used to quantify body fat, and a 12-minute Cooper test was used to gauge aerobic capacity. The Manova test was employed for data analysis, and a significance threshold 0.05 was used. The result of this study is that K3 had significantly less body fat than K1 and K2, and K2 had significantly less body fat than K1 (p 0.05). Comparing K3 and K2 to K1, aerobic capacity was substantially improved (p 0.05). In conclusion, six weeks of cardio and Tabata training impacted lowering body fat and raising maximum aerobic capacity.

The sustainability of the sugarcane agro-industry supply chain plays a crucial role in providing economic benefits, minimizing social and environmental impacts, and optimizing resource utilization. This research aims to analyze the sustainability performance of the sugarcane agro-industry supply chain using multi-criteria assessment and formulate strategies for sustainability improvement. The study proposes a multi-criteria assessment model with twenty-eight indicators and four dimensions of sustainability: economic, social, environmental, and resources, which were developed based on previous research. The fuzzy inference system (FIS) and multi-dimensional scaling (MDS) methods were utilized to analyze the multi-criteria indicators of sustainability performance in each dimension and overall supply chain. The Adaptive Neuro Fuzzy Inference System (ANFIS) model was used to aggregate multi-dimension sustainability to achieve overall sustainability performance. A fuzzy cognitive map (FCM) framework was developed to formulate strategies for improving the sustainability performance of the supply chain. The research was verified at two sugar mill locations in Java Island, Indonesia. The FIS and MDS models successfully analyzed the sustainability performance of the two sugar agro-industries, showing an average value of “quite sustainable”. The overall sustainability performance using the ANFIS model for mill A and B were 57.2 and 61.9, respectively. Series of FGDs combined with the FCM model successfully formulated five clusters of strategies as initiatives in improving the sustainability performance, namely raw material provision, harvesting and post-harvest activities, production process optimization, IT-based technology implementation, and institutional aspects. This present work seeks to contributes to the development of multi-criteria of sustainability performance for the food industry's supply chain. It also proposes a comprehensive framework for analyzing and improving sustainable supply chain performance under uncertainty using a combination of conventional and fuzzy assessment modeling approach. A practical initiative strategy in sustainability improvement is revealed for the sugarcane agroindustry's supply chain.

Technology has developed vastly through digitalization for every business sector, e.g., Micro, Small, and Medium Enterprises (MSME), in developing website profiling as sources of information and advertisement. Kampung Cincau is a village located in Surabaya, East Java, Indonesia which produces grass jelly (cincau) and has been known through mass media coverage. However, they do not have specific and updated information access personally to be accessible to the public. The main objective of this community service is developing a website profile as a source of promotion in Kampung Cincau. There are three steps to developing a website in Kampung Cincau, i.e., preparation, implementation, and ending by monitoring and evaluation. Communicating with the people in Kampung Cincau to dive deeper into their needs has been done as preparation. Afterward, implementation covers finishing the website and writing the website’s manual book. Lastly, monitoring and evaluation focus on conducting admin training for the website to the people and monitoring them as if they have difficulties maintaining the website. These three steps have been finished as sequences of the community service program in Kampung Cincau. Based on the results of a survey on the implementation of community service through Google Forms, the people of Kampung Cincau is assisted through the output of a website profile that has been built and requires assistance in the optimization of utilizing the website.

The distribution of benefits among supply chain actors is complex and full of challenges because various factors, including uncertainty, influence it. This study aims to solve the problem of profit distribution to produce a fair profit distribution among supply chain actors by incorporating elements of uncertainty, risk, and value-added. The model of fair profit distribution is made using the cooperative game theory approach with fuzzy Shapley values, which incorporates the elements of uncertainty in profit, risk, and added value. The fair profit distribution between supply chain actors is validated in the sago agro-industry supply chain in the Meranti Islands Regency. The risks of each supply chain actor were obtained using the fuzzy analytical hierarchy process technique, with risk values of 0.52, 0.23, 0.2, and 0.29 for farmers, traders, wet starch agro-industries, and dry starch agro-industries, respectively. While the value-added ratio of each supply chain actor is 12%, 35.92%, 13.9%, and 15.1%, respectively, as obtained by the Hayami method. The model validation results show that the fair profit distribution to farmers is 17.77%, to traders it is 29.69%, to the wet starch agro-industry it is 9.91%, and to the dry starch agro-industry it is 42.63% of the total supply chain profits. This result is more proportional than the current profit distribution, which is respectively 10.03%, 15.29%, 1.7%, and 72.98%. These results are considered fairer and more proportional because they take into account the uncertainty of the benefits, risks, and added value of each actor in the sago agro-industry supply chain.

Superior clones of Jatropha curcas that will be released as superior varieties must be tested for drought stress tolerance. This study aims to examine the drought stress tolerance of superior clones of Jatropha. The study took place in the Green House of the Indonesian Sweetener and Fiber Crops Research Institute in Malang, East Java, Indonesia, from January to December 2021. The treatments were arranged in a split-plot design with 3 replications. The main plot consisted of 4 soil moisture levels (40, 60, 80, and 100% of field capacity), and the subplots consisted of 4 superior clones (HS-49xSP-65/32, IP-3AxSP-89/4, IP-3AxSP-65/11, IP-3PxSP-7/5) and a control clone (Jet-1 Agribun). The results showed that the clones tested were classified as susceptible – tolerant to water stress. Clones HS-49xSP-65/32 are classified as tolerant, clones IP-3AxSP-65/11 and IP-3PxSP-7/5 are classified as moderate, and clones IP-3AxSP-89/4 and Jet-1 Agribun are classified as susceptible.

Superior clones of Jatropha curcas that will be released as superior varieties must be tested for drought stress tolerance. This study aims to examine the drought stress tolerance of superior clones of Jatropha. The study took place in the Green House of the Indonesian Sweetener and Fiber Crops Research Institute in Malang, East Java, Indonesia, from January to December 2021. The treatments were arranged in a split-plot design with 3 replications. The main plot consisted of 4 soil moisture levels (40, 60, 80, and 100% of field capacity), and the subplots consisted of 4 superior clones (HS-49xSP-65/32, IP-3AxSP-89/4, IP-3AxSP-65/11, IP-3PxSP-7/5) and a control clone (Jet-1 Agribun). The results showed that the clones tested were classified as susceptible – tolerant to water stress. Clones HS-49xSP-65/32 are classified as tolerant, clones IP-3AxSP-65/11 and IP-3PxSP-7/5 are classified as moderate, and clones IP-3AxSP-89/4 and Jet-1 Agribun are classified as susceptible.

There are still many micro-business actors who package their products with the appearance of less attractive packaging. However, it is not easy for micro-business actors to create product packaging ideas that is able to be accepted by the broad market. This study aimed to determine the attributes of packaging labels, determine the most influential graphic elements, and generate tone and manner for label specialty coffee packaging. Label attribute was analyzed with FAST and Pairwise Comparison methods. The graphic element was analyzed with the QFD method. The visual perception was analyzed with the Mind Mapping method quantified by the PCA method. It was concluded that experts expect more product information clarity and the impression of premium products on coffee packaging labels. In addition, experts also expect convenience in reading the information needed on packaging labels. Based on graphic element analysis, the priorities of the graphic element of packaging were 1) identity of the coffee product; 2) text hierarchy; 3) color labels; and 4) typical label style. The must-have tone and manner for specialty coffee packaging labels were familiar (friendly), premium, simple, and special.

Gold processing at artisanal and small-scale gold mining (ASGM) in Indonesia is inherently risky due to the high severity and likelihood of accidents causing serious injury. The objectives of this study were to identify hazards, assess risks, and determine risk control measures in the ASGM location at Imandi Village, East Dumoga District, Bolaang Mongondow Regency, North Sulawesi Province. The method used was Hazard Identification Risk Assessment and Risk Control (HIRARC). The determination of work stages and identification of hazards was carried out through observation at 14 ASGM units and interviews with 14 informants consisting of 6 mining workers and 8 ASGM business owners. The risk assessment was carried out by observing and interviewing 8 experts as informants selected from health and environmental scientists, various offices of the Government Bolaang Mongondow Regency, and non-government institutions. The results showed that the stage of gold processing work in ASGM consists of 13 sources of hazards that can pose 16 risks. The obtained risk assessment results showed that 19% were low risk, 31% moderate risk, 25% high risk, and 25% very high risk caused by exposure to mercury through the gold ore burning process with a risk value of 25. The identified risk control measures were PPE (personal protective equipment) 43%, administrative controls 14%, engineering controls 14%, substitution 21%, and elimination 7%. Realistic risk controls that can be applied in ASGM are a combination of administrative controls and PPE.

Red chili is Indonesia's leading commodity. Red chili is a raw material for various food products, cosmetics, pharmaceuticals and others. Fluctuations in the availability of red chili commodity supply affect the price of red chili commodity products. Pricing can occur because of supply and demand. Un­cer­tain conditions also influence pricing due to fluctuations in raw material prices, ultimately affecting the price of carrageenan products. This condition makes price determination very difficult. Therefore, this study aims to analyze and design a pricing mechanism and determine the optimal margin in the red chili commodity marketing system. This study uses a systems analysis and design approach. Input-process-output (IPO) diagrams describe system requirements. Industrial business processes are described by the Business Process Model and Notation (BPMN) ver. 16.0. Meanwhile, to determine the optimal margin, Sugeno's fuzzy inference system approach is used by simulating the model in 3 margin scenarios: pessimistic, moderate, and optimistic. The simulation results were tested using the MAPE test, in which the results were compared between fuzzy price results and markup prices using markup values of 20%, 25%, and 30%. The analysis results show that the price is determined by demand and supply. The price obtained from the formulation of the Sugeno fuzzy model shows an optimal margin of Rp. 16,600.

The Indonesian agroindustry is a crucial sector for food security, comprising several platforms such as the poultry industry that play a role in providing animal protein. Despite the advantages portrayed by the poultry sector in the country, stiff competition is still encountered with business transformation situation. The rigid and static structures of the Indonesian poultry industry are also reflected in bureaucracy, fear-based cultures, the inefficiency of functional silos, and aversion to change, leading to the need for appropriate agility incorporation. Therefore, this study aims to identify and analyze the key challenges and enablers influencing the achievement of business agility, as well as construct a structural interpretation model for the process through ISM (Interpretative Structural Modeling). The results showed that the hierarchical structure establishment of the influential factors emphasized a logical linkage through ISM implementation. This structural level also identified the major challenges to attaining business agility, indicating the difficulties encountered in work culture transformation and mindset adjustment toward an agile orientation. Meanwhile, management response and knowledge deftness are key enablers in achieving business agility. These results are expected to help business professionals in implementing sustainable organizational model, due to the existence of business agility.

Developing oil palm agroindustry in South Kalimantan involves internal and external factors for its sustainability. The long distance of each stakeholder requires a digitally connected system. The research aimed at identifying criteria, sub-criteria, and alternatives in the developed network model, determine the sensitivity to determine the relevance of actor's role, determine the effectiveness and efficiency before and after implementation of the system, and analyse the level of certainty and importance of assumptions developed. The methods used were surveys, focus group discussions, and questionnaires. Experts in the Analytical Network Process (ANP) method were from academia, business, society and government. Supply Chain Operation Reference (SCOR) method to analyse supply chain performance involved 178 respondents. The level of certainty and importance of assumptions was with Strategic Assumption Surfacing and Testing (SAST). The results of the analysis show there was an interdependence between the sub-criteria on the specified criteria and alternatives applied to achieve the goals. Pairwise comparisons showed the highest sub-criteria cluster was the replanting program with a weight of 0.662, for alternative cluster the highest priority weight in the system involving all actors playing a role was 0.391, with relevant sensitivity test results. The results of the analysis of effectiveness and efficiency before and after implementation of the system showed an increase in SCOR value for all actors. The results of SAST analysis were in Quadrant I with the highest level of importance and certainty of 7.6 meaning very important and certain. The implications of the research results can be seen in fostering the use of technology in realizing transparency, especially regarding the price, quality, and traceability of fresh fruit bunches, the realization of a monitoring system for policymakers and capital assistance for independent oil palm smallholders.

The competition in the carica fruit processing industry is increasing, so that efforts are needed to increase production efficiency through good production planning and control (PPC). CV XYZ is one of the carica fruit processing companies which has PPC problems. PPC activities done intuitively and not systematically causing a decision in PPC is ineffective and production process is inefficient. Those problems can be resolved by developing a PPC model in accordance with CV XYZ’s business process. So, this research objective was to develop a PPC model at CV XYZ. The model consisted of four sub-models which were related to each other. The first sub-model was Sub-model of Demand Forecasting and the second sub-model was Sub-model of Carica Fruit Availability Forecasting. Those two sub-models used the Auto-regressive Integrated Moving Average (ARIMA). The third sub-model was Sub-model of Production and Packaging Planning using Integer Linear Programming (ILP). The fourth sub-model was Sub-model of Carica Fruit Inventory Control using Material Requirement Planning (MRP). PPC model can clarify the PPC system at CV XYZ and produce optimal plans. PPC model improves efficiency of total production cost up to 39.86% and total inventory cost up to 27.56%.

Micro, Small and Medium Enterprises are one of the business actors in Indonesia that have considerable potential in supporting the national economy. Business incubators are one of the parties that can play a role in assisting the growth and development of micro, small and medium enterprises, but in practice business incubators face various limitations related to human resources, capital, facilities, coaching, technology, market potential and regulations. The influence of these limitations has an impact on the performance of mentoring or coaching, so it is necessary for business incubators to develop their mentoring programmes to be able to provide assistance in accordance with the needs needed by the current fostered tenants, so as to improve the business performance. This research aims to formulate an appropriate development strategy for the IPB Business Incubator by analysing the internal and external environment of the incubator. The method in this research uses the analysis of Internal Factor Evaluation (IFE), External Factor Evaluation (EFE), SWOT analysis (Strengths-Weaknesses-Opportunities-Threats), and using Quantitative Strategic Planning Matrix (QSPM). The results showed that three strategies were recommended for the development of IPB's Business Incubator, namely developing an online marketing platform that can help market tenant products online, developing incubation programmes that can improve tenant competitiveness, and building cooperation with many parties both nationally and internationally. Keywords: business incubator, IFE matrix, EFE matrix, SWOT analysis, QSPM analysis

This paper reviews previous research on the sustainability and policies of palm oil-based bioenergy in Indonesia and Malaysia. A systematic literature review with a meta-analysis (PRISMA) methodology was performed to evaluate the related articles discussing sustainability and bioenergy policies. This study found 96 articles that mapped the sustainability and policies of bioenergy in Indonesia and Malaysia over the last decade. The sustainability studies were divided into two areas: the environment and socioeconomics. Researchers were more likely to examine environmental factors than socioeconomic factors, specifically focusing on the following environmental indicators: land use conversion, deforestation, and CO2 emissions. Most policy studies concentrated on sustainability and energy security. Over the last two decades, the development of bioenergy policies in Indonesia and Malaysia has been comparable in terms of geographical position and palm oil production. However, Indonesia's bioenergy policy has tended to be more vigorous and dynamic than Malaysia.

Supply chain sustainability assessment is key to maintaining and improving the performance of agroindustry supply chains, particularly in sustainable agroindustry development. The assessment of agro-industrial supply chain performance is a complex and dynamic process. Hence, there is a need for an adaptive fuzzy multi-criteria sustainability assessment model as an alternative method of analysis and improvement. This study aimed to design an adaptive fuzzy multi-criteria sustainability assessment and improvement model for the sugarcane agroindustry supply chain. In this study: (1) a fuzzy inference system (FIS) was developed to assess the performance of the sustainability dimensions. This study proposed 24 indicators for four dimensions: economic, social, environmental, and resource. (2) An adaptive neuro-fuzzy inference system (ANFIS) is designed to aggregate the overall supply chain sustainability performance. (3) The proposed fuzzy multi-criteria assessment model was compared with the common multidimensional scaling (MDS) and linear models. This study proved that the proposed synthesis of the FIS and ANFIS models is powerful and adaptive for evaluating supply chain sustainability and providing accurate results. (4) The strategies to improve sustainability performance were developed using the cosine amplitude method (CAM). The proposed model determined that the overall supply chain sustainability value was 68.58%, which was almost sustainable. Several strategies have been suggested to improve sustainability performance, including maintaining the sugarcane supply by strengthening the partnership program and improving the mill’s overall recovery, followed by factory revitalization or new factory investment.

The new aerotropolis era due to airport construction in Kulon Progo has stimulated regional development and changed the image of the area from rural to urban-oriented. The negative impact of rapid growth, such as the urban sprawl, can be mitigated through sustainable spatial planning. Therefore, this study aims to evaluate the carrying capacity based on the land capability of both existing and official land use planning. The matching criteria method was used to conduct the capability evaluation. According to the analysis results, 56.13% of the Kulon Progo area was dominated by moderate to low land capability classes (V-VIII) with the main inhibiting factor as slopes. Furthermore, the evaluation of conformity with land use/land cover (LULC) in 2020 showed most land uses were in not conform (NC) and conditionally conform (CC) status. The area of land use that did not conform with its carrying capacity was 8,286.44 ha which was distributed in the southern part. Meanwhile, an evaluation of the official land use planning of the area showed 57% of the plan was conform (C) with land capability. Therefore, the carrying capacity of the land in Kulon Progo is in reasonably good condition. However, planning interventions should be carried out for areas with not conform status.

Pengembangan agroindustri di Aceh dapat mendorong pertumbuhan ekonomi karena sumber utama pendapatan masyarakat Aceh berasal dari sektor pertanian. Penelitian ini bertujuan untuk mencari nilai tambah dan menemukan strategi terbaik untuk meningkatkan nilai tambah produk pinang. Penelitian ini menggunakan analisis nilai tambah, dimana output dikurangi biaya input dan analisis IFAS, EFAS dan SWOT untuk menentukan strategi terbaik untuk pengembangan agroindustry pinang. Hasil penelitian menunjukkan nilai tambah yang diperoleh dengan pengolahan pinnag menjadi tanin mencapai Rp 130.000 sedangkan pewarna alami mencapai Rp 105.000. Berdasarkan hasil analisis faktor internal dan eksternal menunjukkan bahwa factor internal lebih berpengaruh terhadap pengembangan agroindustry pinang dengan skor 3.00. Berdasarkan hasil model strategi kuantitatif, pengembangan agroindustri pinang dapat dilakukan dengan memaksimalkan peluang dan mengatasi segala faktor yang menjadi kelemahan. Oleh karena itu, strategi yang paling tepat untuk pengembangan produk potensial pinang adalah memfasilitasi dan mensosialisasikam informasi tentang produk turunan pinang kepada masyarakat serta mempromosikan dan meningkatkan inovasi teknologi untuk mempercepat adopsi teknologi oleh para petani.

Aggregate planning is one of the most important activities of operations management for a competitive supply chain. Aggregate planning balances supply and demand during the planning time horizon. Aggregate planning in a food industry with perishable goods characteristics is a common problem. Mostly, studies on aggregate planning are only concerned with single product and single-phase production processes. This paper proposes a two-stage aggregate planning model that can be applied in the food industry with perishable goods characteristics. The two stages of the production process consist of processing raw materials into intermediate products and processing intermediate products into final products by implementing postponement or intermediate product storage. Processing of raw materials into intermediate materials is expected to solve the problem of material deterioration rate. The aggregate planning model uses a mathematical model approach and is solved by using Goal Programming. Based on the results of model verification using hypothetical data, the aggregate planning model can be applied to the food industry which implements a two-stage production system.

The settlement growth is potentially increased by the rural-to-urban perspective change due to the new era of aerotropolis in Kulon Progo. Land-use planning evaluation is required, especially settlement, which has a significant impact on the environment. However, land-use evaluation studies are currently focused on conforming analysis of official land-use planning (OLUP) toward existing or predicted land use partially or in combination with the performance assessment unit. Consequently, it affects the quality of policy products by disregarding crucial considerations of diverse conditions at points of time and aspects of ideality, reality, and regulation. Therefore, the objective of this study was to design a comprehensive policy allocation for settlements using a matrix allocation rule that integrates conformity and performance analysis in three aspects of planning simultaneously. Land allocation was proposed using a geographic information system (GIS) of land capability, settlement suitability, and agricultural and forest land protection. The current land use/land cover (LULC) was classified using visual interpretation of SPOT 7 satellite imagery and a multi-layer perceptron neural network (MLPNN) to predict the LULC in 2035. The result indicated that the stock of land allocation for settlement development is sufficient to meet the demands in 2035. However, there is a problem in the settlement distribution pattern in which 64.3% of existing settlements are located in non-recommended allocation. That number is predicted to increase by 1,145.8 ha. Land-use control instruments need to be conducted to prevent extensive settlement growth in non-recommended allocation. Conversely, zoning allocation should be directed to trigger the growth of settlements in recommended allocation.

The National Energy General Plan (RUEN) has set 11.6 million kiloliters of biodiesel production target in 2025. The determination of biodiesel production targets in RUEN is part of the objectives mandated in the National Energy Policy (KEN), which is to achieve energy security and independence. Therefore, this study aims to analyze the impact of biodiesel agroindustry on the achievement of national energy security in 2025. The simulation conducted in this study uses Long-range Energy Alternatives Planning (LEAP) software, which based on the accounting model. The model has run on Business as Usual (BAU) scenario, using four dimensions and 12 indicators of energy security in the context of biodiesel agroindustry. Model simulation results show a decreasing energy security trend in the period of 2022-2025, while the biodiesel production target, which was set at RUEN, cannot be achieved in 2025. This is mainly related to availability and affordability, which experienced a decline in the period. Further research needs to be done on the strategy of developing biodiesel agroindustry by considering scenarios of increasing production capacity and productivity as well as its impact on national energy security.

Purpose: The purpose of this case study is to develop and framework supply chain characteristics and risk mitigation strategies in the context of biodiesel downstream supply chain. Design/methodology/approach: This study employs an expert interview-based approach as a qualitative approach with a multi-perspectives view. Findings: There are vary strategies among perspectives, such as perspectives of organization and business types, stakeholder types, times and methods. These also shows that business strategy of collaborative, coordinative, and cooperative arise as alternative strategies for each perspective and each level of stakeholder. Those business strategies may apply in a vary operation strategies which linking through an energy security framework element as company’s competitive priorities. Research limitations/implications: The research scope includes only a certain area of the country’s territory and the target company’s supply chain areas of activity. The research method includes only internal stakeholders and experts as respondents and data sources. The level of analysis was only at corporate level in the corporate case study context. The research also targets only a downstream activities of biodiesel supply chain context. The interview-based approach as a qualitative approach faces some subjectivity challenges among respondents. Practical implications: The research result provides some positive implications for business practice, includes how to minimize the impact of supply chain risk on company’s business activities and performance, how supply chain experts and practitioners used risk mitigation practices, how to formulate strategic plans to minimize the impact of supply chain risk and enhance the effectivity and sustainability of the supply chain activities. Social implications: The implication for business practice was that company’s leaders implemented supply chain risk mitigation strategies that provide positive impacts on the more valuable relationship among supply chain actors and stakeholders. Originality/value: The first, is an activities areas and operation schemes-based of biodiesel supply chain point of view. The second, is a multi-perspectives-based biodiesel supply chain characteristics framework. The third, is an energy security framework-based biodiesel risk mitigation strategies framework.

History shows the long process of apple plants originating from subtropical regions adapting to Indonesia's tropical climate until its popularity is increasingly marginalized and replaced with other commodities, as evidenced by the decreasing land area, especially in Batu City. Indonesia. In developing and analyzing solutions based on the principles of sustainable development, an integrated and holistic approach is required. To understand problems and find solutions, we can use Systems dynamics. The purpose of this study is to obtain a policy scenario that encourages sustainable apple farming. Data is collected from the local government and BPS City or Province so that the selected variables follow the specific location. The system approach is used to identify needs, problem formulation, preparation of input-output diagrams, cause-effect diagrams and stock-flow diagrams. A series of scenarios is created and tested through simulation to understand the system's dynamic behavior better and obtain the desired output. The best scenario was chosen, namely by replanting 10% of old plant each year, using integrated agriculture with 3 female and 1 male brooders, reduction of land change with 50% success, Local economic development by integrating tourist ticket and hotels with 0,75 kg apple fruits also increasing health support for students

The Nurul Fikri Study Guidance and Consultation Institute (BKB NF), as a business entity, must periodically conduct marketing audits and business strategies. This research (marketing audit) uses a quantitative approach to the case or object of research in the form of a Tutoring Education Institute. The object of research is the BKB NF Institute, with respondents from all levels of management / structural employees of BKB NF throughout Indonesia. The instrument in the form of Competitive Setting Profile (CSP) and Company Alignment Profile (CAP) questionnaires, distributed via google form. The questionnaire was filled in self-report / assessment using management judgment. Data analysis used the framework of Strategic Marketing Plus 2000. The results of calculations resulted in a CSI of 4.12, interpreted the competitive situation faced by the sophisticated stage BKB NF. CAI NF of 2.93, interpreted the existing marketing type of BKB NF is segmented marketing. CAI

Kebutuhan akan data aktual terkait unjuk kerja mesin menjadi sangat penting dalam dunia penelitian. Data-data yang presisi mutlak diperlukan sebagai dasar dalam melakukan suatu pengembangan teknologi sebagai pembanding antara kondisi sebelum dan sesudah dilakukannya pengembangan. Penelitian ini adalah rancang bangun perangkat perekam data konsumsi bahan bakar dengan target ketelitian mencapai 10ml/menit dan Rasio Udara-Bahan Bakar (AFR) Digital untuk analisa unjuk kerja mesin pembakaran dalam. Konsumsi bahan bakar dihitung dengan pengukuran volume bahan bakar secara real-time sepanjang mesin digunakan dengan memanfaatkan sensor load cell sebagai pemberi informasi ke digital data logger dengan hasil tingkat ketelitian mencapai 3,4ml/menit. AFR diukur dengan menggunakan sensor oksigen yang diletakkan pada saluran gas buang mesin dengan hasil range pembacaan 10 s.d 20 AFR.

Packaging design is a challenge for the development of micro-industries, especially to encounter high competition against well-known products. Unfortunately, most of micro-industries have limitations in term of packaging design and attractiveness. The purpose of this study was to design the right packaging prototype model for the micro-industries. The study applied the value engineering approach which consisted of information, creative, analysis, development, and recommendation stages. In the creative stage, the process included making the moodboards, sketches and digitizing designs as well as generating prototypes. Fuzzy AHP (Analytical Hierarchy Process) was applied in the analysis stage to obtain the weight of each performance parameter. From the analysis, it found that colour was the most significant parameter in determining packaging design of specialty coffee packaging. The most appropriate model recommendation as a representation of packaging for specialty coffee businesses for micro-scale industries was the flat bottom pouch type contained in alternative III.

Measurement of supply chain sustainability in the footwear industry is limited to measurements on craftsmen as footwear makers in the District and City of Bogor. The purpose of this study was to obtain a footwear industry supply chain sustainability index in the District and City of Bogor as an industrial centre in the West Java region. The method approach taken was Multidimensional Scaling (MDS) using Rapfish software. This study analyzed three dimensions, namely economic, social and environment. The indicators used for the economic dimension were net profit, sales targets, production capacity, labour income, product quality, market access, investment for the environmental improvement, research and technology development. Indicators measured for the social dimension were employment opportunities for the local workers, human reource skills, easiness access to health, use of equipment, work safety, workplace quality, air quality of production rooms, workforce training, number of products returned, and certification in the social field. On the environmental dimension, the indicators measured were the reduction in the amount of energy used, the use of environmentally friendly materials, the level of waste management, measurement and reduction of emissions produced, certification in the environmental field, use of materials from local suppliers. The results of measurement of the footwear industry sustainability indexes were less sustainable for the economic and social dimensions, whereas for the environment dimension indexed was not sustainable. In leverage analysis, indicators that influenced to increase the index for the economic dimension were market access and labour income, the social dimension were the quality of the production room air and the use of safety equipment, and the environmental dimension were the level of waste management, measurement and emission reduction.

Research on the presence or absence of the influence of the intensity of reading Asmaul Husna dhikr and Dhuhur Congregation Student prayer on the level of self-control of MA students in the City of Pekalongan. The first research hypothesis, namely there is a positive and significant effect between the intensity of reading the Asmaul Husna dhikr on student self control. Secondly, there is a positive and significant influence between the habit of performing Dhuhr prayer in congregation on students' self control. The research method in the form of quantitative research methods. There is a significance value of t for the Asmaul Husna reading habit variable is 0.056 and the value is smaller than the α probability set at 0.495 (0.495> 0.05). Tests show H0 is accepted and Ha is rejected. The significance value of t for the variable performing the midday prayer is 0.119 and the value is greater than the α probability set at 0.05 (0.095> 0.05). Tests show H0 is accepted and Ha is rejected. Based on the partial linear regression test results partially, it can be concluded that the intensity of the habit of reading Asmaul Husna and Dhuhr Prayer in congregation has a positive and significant effect on student self-control.

Based on the research of Taxpayer who has done a cross-jurisdiction transaction, known that taxpayers have done several transactions with Tax Heaven country corporation. One of the goals of the transaction is to take advantage of the gap on Tax Treaty /P3B to achieve treaty benefit. Tax auditing is a tool to ensure that the party who received the income in treaty partner countries is the Beneficial Owner (BO) thus there will be no misused of P3B/treaty abuse. Exchange of Information (EOI) is a tool for gaining information, evidence, and/or explanation to gain a conviction of who are truly received the benefit. Considering the importance of quality of investigation to appeal in Tax Court, it is interesting to review about the usage of Exchange of Information (EOI) to increase the quality of tax investigation of BO dispute, in this case, Directorate of Objection and Appeal. In arranging this research, researchers used a qualitative approach considering the focus of research is the usage of EOI on the investigation which has many factors and not monocausal means there is no one single cause from social reality. This research intends to know the use of EOI in increasing quality of tax auditing if it is reviewed from Tax Court verdict, supporting entities and the efforts which support the use of EOI in increasing the investigation of beneficial owner dispute. The result of this research explains that EOI usage to increase the quality of tax auditing of beneficial owner dispute has not been maximal or still low if it is assessed from the Tax Court verdict which DGT's percentage of losing verdict is higher than winning verdict. Factors that contributes the usage of EOI in increasing the quality of examination is human resource, which have good quality and quantity of examiner, competent database system and good obedience of taxpayers, good technique of examining, clear and not misinterpreted rules of BO and EOI, good cooperation between partner country, good coordination and support in internal unit of DJP. Meanwhile, entities that could obstruct usage of EOI in increasing investigation quality of beneficial owner dispute is the human resource, which means that investigation quality that has to be increased and quantity of the investigators that are not sufficient. Directorate General of Taxes not yet has competent database, low obedience of taxpayers, absence of rules about Investigation Technique about beneficial owner dispute, limited period of investigation, different interpretations from judges, inchoate and unclear information in EOI, answers of EOI request that has not fulfilled by cooperating countries and unclear and weak rules about beneficial owner

This research discussed an increase of non-taxable income that expected to be able to step-up the purchasing power, especially in consumption. Increase on non-taxable income which applies has not reflected the equality principle in taxation like what people feel, where non-taxable income has not touched the sense of equality. It becomes a dilemma to the government for expanding the taxation base by increasing non-taxation income. Increase in non-taxable income can reduce the taxation base. Practice in Simplicity or Easy of Tax Administration concept make the application on equality principle in taxation is not maximal, because non-taxation income equalizes all taxpayers’ —rich nor poor, sick nor health, and citizens who are on education. Implementation of this concept is inseparable from taxpayer database condition which based on Identity Number that has not beneficial. Increase of non-taxable income also decreases the Tax Revenue Article 21 where the revenue decreased by 4.65% in 2016. Increase in non-taxable income is expected to boost the purchasing power of citizen, hence demand on goods and service will increase. With the increase of demand, production to absorb the employment that becomes the object of Non-Taxable Income Article 21.

This study aims to analyze technical efficiency and evaluate the effect of some sources of inefficiency in the Indonesian fishery canned firms during the period of 1990-2015. We calculate technical efficiency using the Stochastic Frontier Analysis (SFA) method with Time Varying Decay. The average of technical efficiency in this industry during the period of 1990-2015 was only 57%. It indicates that firms in this industry still encounter a problem in allocating the resources in efficient manner. However, during the period of 1994-2015, the efficiency in the Indonesian fishery canned industry has declined. We also employed the Ordinary Least Square (OLS) method to evaluate the sources of inefficiency. The results showed that eight variables affected to the efficiency in this industry, thereby it will reduce fishery product competitiveness in the future

Excessive use of pesticides can have an impact on the environment, including the loss of pesticide residues in soil and agricultural products. The purpose of this study was to determine the spreading of organophosphate pesticide residues in the shallot production area of Brebes Regency, Central Java. Research locations were two districts selected by purposive sampling based on production area, namely Kersana and Wanasari Districts. Organophosphate compounds analyzed include chlorpyrifos, paration, profenofos, diazinon, fenitrotion, metidation and malation. Organophosphate residue analysis was carried out on seven soil samples and seven shallot products. Pesticide residue analysis was carried out using the standard method by using a gas chromatography device with an electron capture detector. Based on analysis, seven residues of organophosphate pesticides were chlorpyrifos, paration, profenofos, diazinon, fenitrotion, metidation and malation, spread in Kersana District, and six pesticides residues (except profenofos) spread in Wanasari District. In soil samples, the highest residues obtained in two districts were chlorpyrifos compounds, chlorpyrifos compounds in Kersana District was higher than Wanasari District. In the shallot sample, the highest residues in two districts are diazinon compounds, diazinon compounds in the sample of Kersana District was higher than Wanasari District. There were several samples of shallot product contained organophosphate residue exceed the maximum concentration of residual limit (RML).

In Indonesia, the processed food industry is one of the strategic sectors of economic growth because rapid and massive innovation expected to accelerate the recovery of the Indonesian economy during Covid-19 pandemic. Therefore, this study aims to identify the innovation barriers as well as to understand how they interact with each other so that the decision makers can focus on to overcome these barriers. There is a presentation of hierarchy-based and the mutual relationships among these hindrances using interpretive structural modeling. Three main barriers including economic or political uncertainty, overlapping government regulations, and low organizational commitment was identified to show a high driving power with a low dependence because they have strategic importance and require great attention from stakeholders. The results become a reference for stakeholders in formulating the innovation development strategies and several formulating policies for the maintenance of political or economic stability as well as the harmonization of regulations. Keywords: barriers, innovation, ISM, modeling, processed food industry

The oil palm independent smallholder (farmer) is one of the important actors in maintaining the continuity of the production cycle in the oil palm agro-industry supply chain in Indonesia. Various fundamental problems faced by the independent smallholder are related to land legality as well as their limited ability to manage good agricultural practices, access funds and information on current prices, and use of quality and agricultural production facilities. The institutional strengthening of the independent smallholder requires attention and support from government and other business actors in the supply chain of the oil palm agro-industry. This study aims to obtain a model of institutional strengthening through the application of the enrich seven steps of soft system methodology. The assumptions that must be fulfilled in strengthening this institution were described. The institutional strengthening model was developed in three stages, i.e., the establishment of smallholder corporations, the establishment of independent cooperatives, and the revitalization of the Indonesian oil palm independent smallholder association. Various individual strengthening actors were investigated and then integrated. The suggested institutional strengthening model involved cooperatives, smallholder farmers groups, and the oil palm mill, supported by regulatory, financial, and input provider agencies with a mutual partnership program.

This study describes the analysis and design of production systems at an Aceh noodle restaurant based on the approach of process-oriented analysis (POA). POA is a technique that can be used to design or re-engineering a production system. This system useD a type of static analysis with two models i.e., value flow diagram (VFD) and resource flow diagrams (RFD). The results showed that the POA method is very useful to study the analysis and design of production systems. Application of this method of learning and project engineering production provides an enormous benefit in analyzing and designing the production system of special Aceh noodles at a restaurant, which includes the amount of information, numbers, and economic return value (VFD), as well as information on the flow of resources (including mass, energy, and embodied energy) and their respective ecological values (RFD).

This research aims to identify several business models of fresh milk agro-industry that are emerging in rural areas, as well as factors that influence agro-industry development, and establish a dairy agro-industry business model framework. The case study method used in this research consists of an agro-industry with business models and cooperatives. According to the finding of this research, there are seven supporting factors that influence the growth of the fresh milk agro-industry in rural areas, that are; (1) organizational structure, (2) fresh milk handling operations, (3) technology application for production activities, (4) training of employees and breeders, (5) product marketing strategies, (6) product quality and quality assurance, (7) company actor’s innovation. These seven factors can be determined using the weight ratio to assess the value of each factor that influences the development of the fresh milk agro-industry in rural areas, namely business management (0.2641), raw material handling (0.1510), and quality assurance (0.1347). The importance of the decision is a crucial factor in the development of the dairy agro-industry in rural areas. In rural areas, the fresh milk agro-industry business model is a cooperative form of business, as well as a business model that incorporates both private and cooperative business practices. The more varied the business models examined, the stronger the fresh milk agro-industrial business model system would be. Since they help small-scale milk farmers in rural areas market their products, regional milk cooperatives are still the best business model to use. Keywords: business model, BMC (Business Model Canvas), cross-case analysis, fresh milk agro-industry, multiple case study

This paper discusses the knowledge creation process in one department, in a higher educational context, and the possible actions to take to improve the efficiency and effectiveness of the knowledge creation system in it. We conducted a case study at one department of a university that strives to improve its innovations, in terms of their quantity and quality.We used a soft system methodology to investigate the knowledge creation system in the chosen department. From the study, we conclude that the department can be considered as a learning organization, within which its staff continually create, acquire and transfer knowledge. This department has a learning environment which is conducive, concrete learning processes, and leadership that reinforces learning. In the context of producing agroindustry innovations, the knowledge creation system in this department is considered to be less effective since it frequently happens more at individual or small group levels. To improve its effectiveness, the management may facilitate the institutionalization of knowledge creation processes at every phase of the interactions between tacit and explicit knowledge.

Shallots supply chain faces many problems and challenges, so need efforts to improve the performance. This study was conducted to: 1) analyze conditions of the shallots supply chain using the framework discussion of FSCN (Food Supply Chain Network), 2) measure performance of the shallots supply chain using the rating scale method and indicator assessment adapted from the SCOR (Supply Chain Operations Reference) model, and 3) formulate efforts to improve performance of shallots supply chain by conducting gap analysis and problem analysis. The study was conducted in Brebes as the largest shallots production center in Indonesia. The results showed that the members of shallots supply chain are farmers, traders, wholesalers, and retailers or traditional local market traders. The performance measurement to shallots supply chain in Brebes showed the value of 3.57 during the season and 3.28 in off season. Efforts to improve the supply chain performance of shallots in Brebes include building proper inventory system; build partnerships, coordination and collaboration among the members of the chain and institutional capacity building of farmers, address the low availability of shallots especially during the off season; increase the availability of market information; and solve the problems concerning the distribution mechanism.

Karawang Regency is an area of rice production center which will be a model for supply chain studies in this research. This study aims to determine the condition of the rice supply chain, determine the performance of the rice supply chain, and formulate efforts to improve the performance of the rice supply chain. The method used is the Food Supply Chain Network (FSCN) and Supply Chain Operation Network (SCOR) approaches. Based on the results of research members of the rice supply chain starts from farmers, traders, and rice mills. The value of performance metrics for farmers that are still not in line with expectations include the metric for orders delivered in full, perfect conditions, production costs, ranges of debt and receivables payments. Obtained several factors causing ineffective and inefficient performance of the rice supply chain in Karawang regency in each supply chain actor. Factors affecting farmers are the high cost of farming and the long range of payment of receivables can be overcome by increasing knowledge and application of technological developments and agricultural machinery, and strengthening the function of farmer groups. Factors affecting collecting traders are the low value of suitability of procurement flexibility. Factors affecting the low performance of rice milling are procurement flexibility and shipping flexibility. Keywords: effort to improve the performance, paddy, performance measurement, SCOR, supply chain

PHE ONWJ is an upstream oil and gas company performing exploration and production of oil and gas. PHE ONWJ is subsidiary of Pertamina Hulu Energy (PHE) under PERTAMINA Group with working areas of 8.300 km2 covering offshore and onshore sites. As response to the declining of global oil price, PHE ONWJ is required to reduce its operating costs. One of them is marine operation that accounted for 10% of the total operating cost, 53% of which is the cost of energy (fuel). The marine fuel efficiency program is a technology based on approach through series of interconnecting activities namely determination of vessels’ economical speed, vessel control by Fuel Monitoring System (FMS) and Vessel Tracking System (VTS), and improvement of contractor performance management. This program has saved diesel fuel consumption for approximately 10,000 kiloliter or equivalent to savings by 34%. Financially it has saved Rp 80 billion and reduce emission by 40 ktons of CO2e during the year 2016. The keys of success of this program are strong commitment to implement economical speed, contractor partnership, capacity building and awareness to raise contractor’s competence also behaviour towards energy efficiency.

Background Sustainable supply chains are more competitive than conventional supply chains. Supply chain sustainability performance needs to be carried out to determine sustainability under current conditions and to design appropriate strategies to increase sustainability. This study aims to design a sustainability performance assessment model for the sago agro-industry supply chain and identify critical indicators for sustainability improvement. Methods The Fuzzy Inference System (FIS) evaluates sustainability on three levels: economic, social, and environmental. The Adaptive Neuro-Fuzzy Inference System (ANFIS) is then used to aggregate the overall sustainability performance. The cosine amplitude method (CAM) was used to analyze key indicators. This study assessed the sustainability performance on industrial- and small-medium-scale sago agro-industry. Results The results show that the supply chain sustainability performance on the industrial scale is 44.25, while it is 48.81 for the small-medium scale with the same status, almost sustainable. Key indicators for improving sago agro-industry supply chain sustainability performance include profit distribution among supply chain actors, institutional support for supply chains, waste utilization (reuse & recycle), and the availability of waste management facilities. The implication of this research for managers regards assessing the current status of sustainability performance and key indicators as a reference for formulating sustainability strategies and practices. Implication The sago agro-industry sustainability performance evaluation methodology uses industry-relevant metrics to assess supply chain sustainability, promoting collaboration among stakeholders and assisting in the creation of sustainable strategies. Conclusions The results of the study will enable supply chain actors to understand the key indicators for improving sustainability performance in the sago agro-industry supply chain, especially in Meranti Islands Regency, Riau Province. The proposed model can be applied to other agro-industries by adjusting the indicators used and assessing data availability and suitability for the research object.

The extent of land use and land cover (LULC) of paddy field in Subang Regency has decreased because of the conversion into non-paddy field. The objectives of this research were to review the spatial pattern of LULC change, to analyze the cause and to identify the anticipation strategy of paddy field conversion. The analysis used the Landsat data of 1999, 2004, 2009, and 2014 which were interpreted by supervise technique. The interpretation result was compared with the existing LULC and was examined by Kappa methode. This research focuses on the spatial pattern of LULC change, integrated with the Interpretative Structural Modeling (ISM) to review the cause and the anticipation strategy of the conversion. The results revealed that the paddy field was converted into plantation, built-up area, and dryland agriculture. The ISM result revealed that the conversion causes were: (1) increasing the farmer economic needs, (2) increasing the built-up area, (3) increasing the selling price of land and (4) decreasing the farming motivation. To anticipate the conversion, several priorities are needed, namely (1) rehabilitation of the irrigation infrastructures and regulation of the spatial planning, (2) tighten the conversion permit and maximization of the abandoned land, and (3) giving the incentive and disincentive for the farmers, land consolidation, and establishment of corporate farming.

The status of fish resources in management fisheries context is important to be known for setting resources policy in order to ensure continuity of fish stock and harvest. Estimating the level of sustainable catches and economic rent by using surplus production approach and Gordon-Schaefer bioeconomic analysis then comparing the actual condition, it will point to level of resource exploitation and level of resource degradation. The management of demersal fish around the beach in Indramayu Regency which is characterized by open access resource indicate the status of the fish resource in a state of overfishing and degraded. Therefore, it is important for designing fisheries management policy by regulating the amount of fishing effort. Keywords: demersal fish, bioeconomic analysis, overfishing, degradation

The objective of this paper is to examine the impact of mobile internet adoption by cocoa farmers into their business performance. The main factors examined in this study are creativity and innovativeness. The study sample consists of 193cocoa farmers with 24% smart phone penetrationin thirteen cocoa farmer centers in southern East Java. Data were analyzed by employing Structural Equation Modeling (SEM). The findings revealed that the business performance is significantly impacted by creativity and innovativeness. Creativity and innovativeness was measured by new product development, new process, and new marketing way; while business performance was measured by sales increase, profitability improvement and market share. This research has a limitation that the generalizability of the findings is limited to the geographical scope of the sample. Based on findings, as the practical implications of this study, to give a meaningful broadband to the farmers, all stake holders need to build a conducive broadband ecosystem for the farmer by providing better access to device, user friendly applications, and better broadband customer experience.

Indonesia is the second largest natural rubber producer in the world with 28% of the total world production in 2010. In line with the growth of the world’s automotive industry, the needs of natural rubber as a complementary synthetic rubber products will also increase. The main objective of this research was to find the best alternative strategy to increase the productivity of the natural rubber plantations through the green productivity (GP) approach. The case study was conducted at PT. XYZ, a private company which runs the plantation and processing of natural rubber businesses. The material flow analysis was performed to identify the seven green wastes. The best alternative strategy was determined by using the analytical Hierarchy Process (AHP) model developed into several improvement scenarios. The measurement of the alternative strategy performance was rated as the future Green Productivity Index (GPI) and compared with the value of current GPI, which had been calculated in the PT. XYZ, as the case study. The results of this research was able to provide the best productivity improvement strategy, the level of company’s productivity which has been achieved, and the productivity levels of the implementation of the strategy chosen. Keywords: aHP, green productivity, green wastes, natural rubber, green productivity index, latex ABSTRAK Indonesia merupakan negara kedua penghasil karet alam terbesar di dunia dengan produksi sebesar 28% dari total produksi dunia di tahun 2010. Sejalan dengan bertumbuhnya industri otomotif dunia, kebutuhan karet alam sebagai produk komplementer karet sintetik akan turut mengalami peningkatan. Tujuan utama penelitian ini adalah untuk merumuskan alternatif strategi terbaik pada peningkatan produktivitas proses budidaya karet alam melalui pendekatan konsep Green Productivity (GP). Studi kasus dilakukan di PT. XYZ, perusahaan swasta yang bergerak dibidang usaha perkebunan dan pengolahan karet alam. analisis aliran material dilakukan dengan menggunakan peta aliran material hijau untuk menganalisa tujuh jenis sumber pembangkit limbah hijau (seven green wastes). Alternatif strategi terbaik ditentukan dengan menggunakan model Analytical Hierarchy Process (aHP) yang kemudian dikembangkan menjadi beberapa rancangan skenario perbaikan. Pengukuran kinerja alternatif strategi ini selanjutnya dinilai sebagai indeks produktivitas hijau (GPI) perbaikan (future) dan dibandingkan dengan nilai indeks GPI saat ini (current), yang telah dihitung pada studi kasus yang dilakukan. Hasil penelitian ini mampu memberikan informasi strategi peningkatan produktivitas terbaik, tingkat produktivitas yang telah dicapai perusahaan, dan tingkat produktivitas hasil penerapan strategi terpilih. Kata kunci: aHP, green productivity, green wastes, indeks produktivitas hijau, karet alam, lateks

Raw material control is a critical factor in a company to fulfill the production requirement and cost. This research aims to identify company function in keeping the relationship among suppliers and also to formulate efficient raw material management. The company cooperates with several suppliers as “partners” that integrated and classified on raw material procurement. The classification of raw materials in 2016 and 2017 using the ABC method showed that the raw materials categorize as class A (have a large useful value). The forecasting error of raw materials was compared with quadratic, linear, moving average, and double exponential smoothing methods. There were four types of raw materials that have a smaller forecast than a company method for the year 2016 and one type for raw material in 2017. There was one material that has an optimal Q negative because of its negative function. The total costs incurred were mostly lower if using company methods, and so it could be concluded that the company fulfilled the efficiency level. The buffer stock calculation could be used as a guide for companies to handle weekly raw material requirements in order to avoid out of stock. Keywords: ABC, Forecasting, EOQ, Inventory, raw material Abstrak: Pengendalian bahan baku merupakan hal yang sangat penting dalam sebuah perusahaan agar dapat memenuhi kebutuhan produksi maupun biaya yang dikeluarkan. Penelitian ini bertujuan mengidentifikasi fungsional perusahaan dalam menjaga hubungan dengan pemasok dan merumuskan kebijakan pengelolaan bahan baku yang efisien bagi perusahaan. Perusahaan melakukan kerjasama dengan beberapa pemasok dengan tipe partnership yang sudah terintegrasi untuk pengadaan bahan bakunya. Pengklasifikasian bahan baku tahun 2016 dan 2017 dengan metode ABC menunjukkan beberapa bahan baku yang masuk kedalam kelas A yang memiliki nilai pemakaian yang besar. Kesalahan peramalan bahan baku tersebut dibandingkan dengan metode kuadratik, linear, moving average dan double exponential smoothing. Terdapat empat jenis bahan baku yang memiliki nilai peramalan lebih kecil dengan metode perusahaan untuk tahun 2016 dan satu jenis untuk bahan baku tahun 2017. Hanya satu bahan baku yang memiliki Q optimum negatif karena fungsinya negatif. Total biaya yang dikeluarkan sebagian besar masih lebih rendah dengan menggunakan metode perusahaan. Sehingga dapat dikatakan metode perusahaan masih memenuhi tingkat efisiensi. Perhitungan persediaan pengaman yang dihasilkan dapat menjadi acuan perusahaan untuk menjaga permintaan per minggu agar tidak terjadi kehabisan bahan baku. Kata kunci: ABC, peramalan, EOQ, sediaan, bahan baku

As the pioneer in the industrial mineral industry in Indonesia, PT. XYZ had experienced rapid growth and enjoy the market leader position; however, the trend shows that the sales volume recently decreases as an impact of tight competition and regulation control from the government. It is decided to formulate strategies to able the company growth and to maintain its strong position in the market. This study evaluated and analyzed the company’s business environment internally and externally to find the alternative strategies suit best for PT. XYZ. Then, The strategies cascaded down into the functional strategy to prioritize the new product development (NPD) portfolio. The analysis used Internal Factor Evaluations (IFE) Matrix, External Factor Evaluation (EFE) Matrix, Five Forces Porter Matrix, Internal-External (IE) Matrix, Boston Consulting Group (BCG) Matrix, Quantitative Strategic Planning (QSPM) Matrix and Analytic Hierarchy Process (AHP). The research was conducted with a purposive sampling technique by selecting internal and external experts. The results show that market development, market penetration, retrenchment, and product development were the strategy that must be implemented for the particular market segment, while Product A was the most prioritize NPD portfolio to be developed by PT. XYZ. Keywords: industrial mineral, business strategy, functional strategy, NPD, AHP Abstrak: Sebagai perusahaan perintis dalam industri manufaktur mineral industrial di Indonesia, PT. XYZ telah mengalami pertumbuhan cepat dan menikmati posisinya sebagai pemimpin pasar; namun tren akhir-akhir ini menunjukkan penurunan penjualan akibat persaingan industri dan peraturan perundang-undangan yang semakin ketat. Oleh karena itu dilakukan penelitian ini dengan tujuan untuk merumuskan strategi yang tepat agar perusahaan tetap bertumbuh dan mempertahankan posisinya di pasar. Metode yang dipakai dalam penelitian adalah pendekatan kualitatif dengan cara mengevaluasi lingkungan internal dan eksternal perusahaan untuk mencari alternatif strategi bisnis yang sesuai bagi PT. XYZ. Strategi bisnis tersebut kemudian diturunkan ke dalam strategi fungsional untuk menentukan prioritas pengembangan produk baru. Metode analisis yang digunakan adalah IFE Matrix, EFE Matrix, Five Forces Porter, IE Matrix, BCG Matrix, QSPM Matrix dan Analytic Hierarchy Process (AHP). Penelitian dilakukan menggunakan teknik purposive sampling dengan memilih panel ahli yang berkompeten dari internal dan eksternal. Hasil penelitian menunjukkan bahwa strategi pengembangan pasar, penetrasi pasar, pengetatan biaya dan pengembangan produk adalah strategi yang paling sesuai dilakukan untuk segmen pelanggan tertentu dan produk A sebagai portfolio produk baru yang prioritas untuk dikembangkan. Kata kunci: mineral industrial, strategi bisnis, strategi fungsional, produk baru, AHP