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UMKM memiliki peran penting bagi perekonomian Indonesia dengan sumbangsih sekitar 60 persen dari PDB. Namun di lain sisi, ekspansi UMKM di sekitar kita masih tergolong rendah. Berdasarkan survei ekonomi BPS 2016, terdapat sejumlah 63,72 persen pengusaha yang menyatakan tidak ada rencana untuk melakukan pengembangan usaha dengan adanya berbagai alasan. Terlebih dengan adanya pandemic Covid-19 telah membuat UMKM semakin lesu karena permintaan penjualan produk mereka menurun drastis. Tujuan dari pengabdian ini adalah untuk memberdayakan dan memperkuat manajemen usaha dari UKM Handy Craft Az Zahra Creation yang berlokasi di Surabaya. Secara khusus pengabdian ini menitikberatkan pada pemahaman pola pikir dan peningkatan kapasitas mitra mengenai manajemen usaha, penguatan branding, dan pemasaran/distribusi online. Metode kegiatan yang digunakan adalah menggali dan memetakan permasalahan melalui observasi dan wawancara langsung terhadap mitra. Kemudian merumuskan solusi dengan pendekatan system thinking yang diwujudkan dalam program pendampingan dan pelatihan terstruktur. Adapun hasil dari pengabdian ini akan memberikan peningkatan pengetahuan dan skill manajerial bagi mitra guna meningkatkan kualitas produk, mengelola permintaan, dan mengembangkan usahanya secara berkelanjutan. Dampak pengabdian ini di masa mendatang diharapkan dapat menjadi percontohan bagi UKM sejenis, sehingga kerangka solusi yang dirancang dapat diduplikasi oleh UKM lainnya guna membantu pengembangan usaha. Kata kunci : manajemen usaha, pemasaran online, branding, pelatihan, system thinking

To forestall the overstock or understock, inventory policy often considers thoroughly the optimal order quantity and order time. It is considerably getting more complex in the case of agroindustry as its commodity mostly is classified as perishable goods. The increase of order at a particular season sometimes is not counterbalanced with the number of stocks. The prevalent rationale of this problem is due to none of the appropriate inventory policy is implemented. The purpose of this research is to develop an inventory policy system in the case of agroindustry considering the inventory cost, deterioration rate of perishable fruits, and seasonal variable. Thus, it can be used to maintain the stability of demand while considering those variables. This study employs the periodic review (R,s,S) to construct an inventory policy. The periodic review is determined by order interval (R), a combination of reorder point (s), and maximum level (S). The experimental case study is presented to provide an example of an inventory policy. The inventory policy can alleviate the stocking problem of perishable and seasonal fruits encountered by the agroindustry. The method is able to minimize inventory cost by controlling the inventory systems. This paper offers a model of inventory policy on agroindustry to control and optimize the stocks while reckoning the inventory cost, deterioration rate, and seasonal to fulfil the demand.

Waste has been always considered a notable issue in urban dwelling. The number of wastes produced by urban citizens grows ever larger including in the big cities in Indonesia. Surabaya can produce a big amount of waste around 9.896 metric cubic each day by which it is higher compare to Jakarta. Owing to the people’s habit of waste treatment, yet the implementation of 3R (Reduce, Reuse, Recycle) concepts is still far from the expectation. Moreover, waste selection and sorting are yet not performed properly at the lowest level. This study aims to propose a conceptual design of a smart waste bin that connected through the IoT systems. Thus, it can be monitored remotely and may assist the truck to pick up the fully loaded waste bin. The study employs a qualitative approach to build the conceptual model of which divided into three steps: 1) collecting and categorizing the data, 2) indentifiying concepts, 3) establishing the concept model. A case study of Surabaya district is provided to show the practical usage of the proposed framework. Herein, the map of Surabaya is divided spatially into 31 districts and the data of waste, which is generated randomly, then projected into the corresponding district. The proposed concept appears to be useful as a basis of waste management systems and has flexibility for which it would provide a significant implication for those cities that implementing a smart city project. As a preliminary study, this research possesses a limitation to the fact that there is no evidence of the versatility and the verification of the concept. This study offers a conceptual design of a smart waste bin that can be deployed in the urban city. By means of spatial analysis, policymakers possess an extensive point of view in accordance with environmental trends that are not readily apparent in raw data.

— The logistics business is expected to soar significantly, for which will reach 30 percent by 2020, driven by the growth of transaction of e-commerce. This growth, indeed, requires an apparent concern from the transporter logistics to continuously enhance their performance. On the other hand, the performance of logistics transporters will provide a positive contribution to the increase of LPI (Logistics Performance Index) score of Indonesia. Thus, the development of performance measurement systems is necessary to maintain the competitiveness level of logistic actors. This study provides a comprehensive overview of performance measurement systems in regard to the 3PL (third party logistics) companies. The goal of this study is to develop such a conceptual framework that portrays the essential elements necessary to take into account when implementing performance monitoring system to the 3PL companies. The conceptual framework is established using grounded-theory approach which comprises of four main steps: collecting and mapping data sources, categorizing the data, identifying and naming concepts, and establishing a conceptual model. The framework itself, is constructed into two main stages: 1) developing KPIs, 2) measuring the performance. To exhibit the applicability of the proposed approach, a numerical experiment is provided. This research has two main contributions. First, the study fills the theoretical gap pertaining to the concept of performance assessment systems in case of 3PL companies. Second, in practical view the proposed conceptual framework contributes to the academia by describing the basis of establishing performance monitoring as well as to the practitioners who wish to better measure performance in the transporter logistics.

A bstract A manufacturing company which its production based on customer's customization order commonly employs Make-To-Order system. The classical problem of this system is that uncertainty of the order receipt schedule and the various degree of customization. Thus, it leads to an improper production schedule or under-optimal. This study aims to analyze the maximum production capacity of the company so that it can provide a recommendation for scheduling improvement. In this paper, the study case is carried out to a company which produces the various tools for military needs, such as weapons, ammunition, and combat vehicle. By means of the deterministic scheduling method, the optimal sequence of a military vehicle can be determined. Then, to represent the job priority order as well as to estimate the job completion duration, the network diagram is used. The result is then used as a reference to construct the production schedule simulation sequentially. It is intended to observe the interval time among production schedule. The experimental results of maximum production capacity calculation show that the company is able to produce at maximum 150 unit vehicles per year. Keywords: scheduling; production; deterministic method; Abstrak Perusahaan manufaktur yang memproduksi berdasarkan kustomisasi permintaan pelanggan biasa menerapkan sistem Make-To-Order. Masalah klasik yang sering dihadapai dari sistem tersebut adalah ketidaktepatan jadwal penerimaan pesanan dan tingkat kustomisasi yang berbeda-beda. Hal tersebut menyebabkan penjadwalan produksi yang tidak tepat atau tidak optimal. Tujuan penelitian ini adalah untuk melakukan analisa kapasitas produksi perusahaan, sehingga dengan mengetahui kapasitas maksimalnya dapat memberikan rekomendasi perbaikan penjadwalan. Dalam penelitian ini, studi kasus dilakukan pada perusahan yang memproduksi berbagai macam peralatan untuk kebutuhan militer seperti persenjataan, amunisi, dan kendaraan tempur. Dengan menggunakan metode penjadwalan deterministik, urutan perakitan optimal pada kendaraan militer dapat ditentukan. Kemudian untuk menggambarkan urutan prioritas pekerjaan sekaligus untuk memperhitungkan durasi penyelesaian pekerjaan digunakan bantuan network diagram. Hasilnya digunakan sebagai dasar untuk menyusun simulasi penjadwalan produksi secara berurutan. Tujuannya adalah untuk mengetahui selisih waktu produksi antar jadwal. Hasil perhitungan jumlah kapasitas produksi maksimal perusahaan didapatkan bahwa perusahaan ini dapat memproduksi sebanyak 150 unit kendaraan per tahun. Kata kunci: penjadwalan ; produksi; metode deterministik

Coronavirus disease (COVID-19) is a disease that disrupts the respiratory tract and infects many people. However, until now, there is still no cure. Therefore a robot service is proposed to minimize direct contact between nurses and patients who are equipped with PPE (Personal Protective Equipment). Robot Service is a robot carrying logistics for patients in the Isolation Room. The robot is expected to be able to help medical personnel work and reduce the risk of medical personnel being exposed to the virus while in the Isolation Room. This robot has a feature to rotate and move along the hospital hallway, using either automatic or normal mode. This robot is also equipped with an Omni infrared camera that can see the environmental conditions around the robot so that it can make it easier for operators to run this robot with a Wi-Fi communication system. With this robot, medical workers can deliver the needs of patients without having to meet face to face, so that the risk of being exposed to the virus can be reduced. Keywords: Coronavirus, Hospital, Medical Personnel, Robot Abstrak Coronavirus disease (COVID-19) is a disease that disrupts the respiratory tract and infects many people. However, until now, there is still no cure. Therefore a robot service is proposed to minimize direct contact between nurses and patients who are equipped with PPE (Personal Protective Equipment). Robot Service is a robot carrying logistics for patients in the Isolation Room. The robot is expected to be able to help medical personnel work and reduce the risk of medical personnel being exposed to the virus while in the Isolation Room. This robot has a feature to rotate and move along the hospital hallway, using either automatic or normal mode. This robot is also equipped with an Omni infrared camera that can see the environmental conditions around the robot so that it can make it easier for operators to run this robot with a Wi-Fi communication system. With this robot, medical workers can deliver the needs of patients without having to meet face to face, so that the risk of being exposed to the virus can be reduced. Kata Kunci: Coronavirus, Hospital, Medical Personnel, Robot

Energy consumption has been increasing affected by many factors such as population growth, energy price, etc. This paper utilizes data analysis to examine energy consumption data and its correlation the GDP growth, particularly in case of Indonesia. The data observed in this study comprises a record from 1961-2018. An exploratory data analysis was employed to comprehend the features of the data, while beforehand a pre-processing and testing were conducted to prepare the data. Data visualization was built then a Spearman correlation rank was also performed to see the association among variables. The result shows that the energy consumption is dominated by fossil generated energy i.e. oil, coal, gas. Meanwhile, the renewable energy was started to use since early 2000 with a huge leap of consumption on solar energy. The result of correlation ranking indicates that the energy consumption and the GPD growth has no significant association as the rank value is negative and the p-value is greater than the chosen significant level. Thus, we can conclude that the higher energy consumption does not directly affect the increase in GDP.

Workplace is one of the important aspects related to the productivity of workers. The arrangement and appearance of workplace layouts, especially in industrial applications, greatly affect the perspective and cognitive of workers, and even the production cycle time. Therefore, to reduce production operating costs and the workplace design repair costs, the design of the workplace needs to be planned and designed appropriately. Virtual Reality (VR) is one of the effective technologies to design a productive workplace. The main concept of VR technology is to imitate, visualize, and simulate the workplace design to the perspective of the user/operator who uses it. From the results of these simulations, then the relevant stakeholders can evaluate and assess the feasibility of each workplace layout design alternative. This paper presents a problem solving framework to choose the best productive workplace layout by utilizing VR technology. We focus on industry with a fixed manufacturing layout and facilities. A series of stages and procedures, as well as the application of the tools involved in the problem solving framework are presented in this paper. At the end of the paper, a discussion is presented regarding the insight, future challenges, and possible developments of this research.

This paper presents a data analytics tool, BAB (Best Analytics of Big Data), that combines Hadoop Map-Reduce algorithms with cloud computing and process mining to accommodate the data explosion in business fields. Both academics and professionals can benefit from our tool by applying and extending it within their respective research areas. In fact, BAB already has been widely utilized in the fields of port logistics, ship building and manufacturing.

In accordance with Hottelling's Law, strategic location is a significant factor to ensure the success of a business, thus two businesses which sell the same product tend to choose a closed location. The real practice of this concept is seen in the competition of two big retailers which often open their shop nearby. However, in such competition, the location factor is merely not sufficient. It is necessary to consider other factors such as price and rebate or discount types given to their customers. This paper, particularly, aims to see the customers' preferences towards given attributes i.e. price, location, and discount types. The data is collected by means of a survey with non-probability sampling that is judgmental sampling. The respondents are people reside in Surabaya, Sidoarjo, and nearby whose age between 15-45 years and having various profession. The data is then processed with conjoint analysis by which is used as a basis to reconstruct a demand model considering the customer's preferences. The result shows that the attribute which is most considerable by respondents is the discount types, herein is a bundling product that comprises various products. This attribute has a preference level at 54.53%. The second prioritized attribute is the retailer location with a preference level at 24.28%. This means that a closer retailer is the most preferable by the respondent. Meanwhile, price is the last attribute considered by the respondent in choosing the retailer with a preference level at 21.28%. Thus, a respondent tends to pick a cheaper product after considering its discount type and the distance of retailer.