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The oil and gas industry is known for its rapid technological advancements and the complexity of its operations, increasingly relying on data-intensive management. As subsea projects—from exploration to decommissioning—become more complex and data-driven, integrating knowledge management (KM) and database management systems (DBMS) has become essential. The research specifically explores how KM and DBMS contribute to decision-making, utilizing a quantitative methodology through a questionnaire survey. Findings reveal that KM processes significantly improve the effectiveness of non-spatial data management, highlighting KM's crucial role in facilitating technology adoption and operational efficiency. However, the influence of KM on spatial data management and overall decision-making is found to be limited, indicating the necessity for more adaptive and integrated KM strategies that serve the unique requirements of database systems. This study underscores the critical but nuanced role of KM and DBMS in the oil and gas industry, advocating for tailored KM strategies to optimize database management. It suggests future research into the interplay of KM with emerging technologies like AI and machine learning to enhance database management. This investigation stresses the importance of holistic KM practices in effectively managing the intricate data landscapes of subsea project services, thereby contributing to the broader discourse on KM, DBMS, and decision-making in complex settings.

Micro, Small, and Medium Business (MSMEs) are vital to the Indonesian economic development, and the government is focusing on this sector for post-pandemic recovery. There is an emphasis on infrastructure such as urban green spaces, or Ruang Terbuka Hijau (RTH). RTHs have untapped potential as centers for agricultural and processing MSMEs. However, these businesses often face financing challenges, prompting the exploration of alternative scheme like crowdfunding. Therefore, this study aimed to (1) explore how RTH lands can be leveraged for local economic activities, and (2) devise a public fund-based crowdfunding financing model. Using RTH Kalijodo in Jakarta as a case study, the study included literature reviews, benchmarking, fieldwork, and Life Cycle Cost (LCC) analysis. The results show the need for the development of vertical hydroponics, tilapia farming, and tilapia fillet processing business in RTH Kalijodo. Financial analyses, including IRR calculations exceeding the 10.41% WACC, a positive NPV, and a payback period under five years, show the financial viability of these sectors.

This paper examines the significance of counselor's personal qualities in the counseling process. The research highlights the impact of counselor's personality on counseling attitudes and behaviors, emphasizing the counselor's role in establishing a strong counseling relationship. The study draws on a literature review of selected articles and scientific papers to explore the relationship between counselor's personal qualities and the effectiveness of counseling services. The findings indicate that the success of the counseling process is highly dependent on the counselor's personal characteristics, which include empathy, respect, acceptance, appreciation, and honesty. Furthermore, the quality of the counseling relationship, characterized by the interaction between the counselor and the individual seeking guidance, plays a pivotal role in achieving positive counseling outcomes. The research underscores the importance of counselor's personal qualities in shaping the counseling experience and highlights the need for counselors to possess desirable character traits. The implications of this study extend to counselor training programs and professional development, emphasizing the significance of nurturing and enhancing counselor's personal qualities to provide effective counseling services.

Sick Building Syndrome (SBS) is the health and comfort issues experienced by people during the time indoor. As urban dwellers typically spend 90% of the time indoor, Indoor Air Quality (IAQ) becomes essential. Consequently, ensuring appropriate air exchange in building is essential, with Heating, Ventilation, and Air-Conditioning (HVAC) system playing a crucial ole in maintaining indoor comfort. Therefore, this study aimed to develop a predictive machine learning (ML) model using Industry 4.0 technological advancements to optimize HVAC system design that meets IAQ parameters in Indonesia healthy building (HB). An extensive literature review was carried out to identify IAQ parameters specific to Indonesia HB. Furthermore, four ML models were developed using the RapidMiner Studio application, validated with the Mean Absolute Error (MAE), and confusion matrix methods. The results showed that the cooling load and the chiller-type prediction models had a relative error of 1.11% and 3.33%. Meanwhile, Air Handling Unit (AHU) type and filter area predictive model had a relative error of 10% and 1.22%, respectively. These errors showed the accuracy of ML model in predicting HVAC system of HB.

Tujuan dari penelitian ini adalah menyediakan multimedia interaktif yang valid, praktis, dan efektif untuk mendidik siswa mandor di SMP VIII mengenai biologi organ pernapasan dan mekanika pernapasan. Penelitian ini menggunakan tiga fase paradigma R&D yaitu mendefinisikan, merancang, dan membangun dalam pengembangan 3D. Enam belas siswa kelas delapan di sebuah SMP dan lima ahli media dan materi berpartisipasi dalam penelitian ini. Penelitian ini menggunakan lembar validasi dari ahli media dan materi, survei guru dan siswa, serta tes pilihan ganda untuk mengevaluasi siswa. Temuan penelitian, yang didasarkan pada aplikasi Canva, memvalidasi multimedia dengan melibatkan spesialis media yang memberikan skor rata-rata 86,4% berdasarkan tiga kriteria yang sangat relevan. Kriteria yang sangat valid menghasilkan skor rata-rata 89,8 persen untuk temuan validasi materi dalam studi ini. Selain itu, pentingnya kegunaan juga terbukti, seperti yang ditunjukkan oleh fakta bahwa 87,9% kelas setuju dengan seperangkat kriteria praktis setelah instruktur dan semua murid mengisi kuesioner. Bukti keberhasilan lebih lanjut datang dari kinerja siswa pada post-test, di mana 14 dari 16 siswa (atau 87,5%) memenuhi standar nilai KKM sekolah sebesar 67, sehingga hasil tes rata-rata siswa memenuhi semua persyaratan dan dianggap sangat efektif.

This study aims to determine the important role of ethical values for a counsellor in providing services to counselees. The research method used is literature study or literature review. Literature review research is a series of activities related to library data collection methods reading and recording and processing research data, there are twenty articles/scientific works reviewed in this article regarding counsellor ethics. Based on the results of the study or literature review that has been conducted, one of the values that must be possessed by a counsellor to build effective interactions between counsellors and clients is ethical values. Counselors in doing their work are proctected by a counselor’s code of ethics which functions as a limitation, and work rules for counselors /counseling teachers. The counselor’s code of ethics is a moral foundation and professional behaviour guidelines that must be upheld and implemented by every member of the guidance and counseling profession in Indonesia. The code of ethics is prepared to serve as a guideline or guide counselors in doing their work so that guidance and counseling services run optimally.

Confidential documents in possession of government agencies are considered as assets that must be protected. Government agencies have started implementing cloud data storage systems to document data in a centralized network. However, this data storage system has been well-known as being threatened by data security, integrity, and data availability risks. On the other hand, blockchain technology, a decentralized, fast, secure, transparent, and recorded data storage system, is considered as the solution for mitigating these risks. Therefore, this study aims to identify the dominant risk factors of implementing the cloud computing storage system in government agencies potentially impacting its organizational performance and developing a risk-based data storage system that considers blockchain technology. This research used questionnaire surveys, case studies, and expert interviews to obtain its research objectives. The results demonstrated that six dominant risks included data theft and breaches, data corruption caused by virus attacks, limited storage space, data loss caused by system damage, data being accessed without particular access rights, and lack of guarantees from the system when a security threat occurred. A model for the blockchain-based cloud data storage system is proposed to address these risks and to improve the organizational performance of government agencies.

To achieve its vision of becoming a developed and prosperous economy in 2045, Indonesia focuses on expanding its regional development by developing its six economic corridors based on each corridor’s potential industries. Therefore, adequate infrastructure that improves regional connectivity and drives economic activities should be developed to help accelerate the industrial development in each economic corridor. This paper examines the financial feasibility of investing in industrial supporting infrastructure projects and develops financing and institutional schemes for the implementation of public-private partnerships to enhance the attractiveness of the projects for the private sector. The results of life-cycle cost analysis and system dynamics simulation show that with a required initial cost of USD 254 million and operation and maintenance (OM) cost of USD 224.29 million, the development is deemed financially feasible, generating a revenue of USD 872.38 million for a 40-year concession period. From the 45 cost-sharing scenarios investigated, the optimal internal rate of return (IRR) value of 15.62% was obtained, with the private sector covering 64.14% of the initial cost and 73.61% of the OM cost, as well as gaining 76.62% of the total revenue.

Land value capture (LVC) has shown great potential in financing urban rail system infrastructure, such as transit-oriented development (TOD). However, the government of Indonesia has not tapped this potential in order to close its infrastructure financing gap. This study aims to determine the incremental rate captured through a tax-based LVC mechanism and develop a property market-based mobile application to implement the scheme, with six TOD areas in seven stations of the Mass Rapid Transit (MRT) Jakarta Phase I project as the case study. This research used literature and benchmarking studies to collect data, followed by the calculations of the transport premium, total value increment, and value capture rate for the betterment tax implementation to obtain its research objectives. The results showed that a 5.82% value capture rate could recover 53.8% of the government's initial investment for the project. Based on that figure, betterment tax rates of 0.3% and 0.1% are proposed for residential properties within the radius of 100-400 m and 400-700 m from transit stations, respectively. Meanwhile, 2.5% and 2.4% tax rates are proposed for commercial properties within the radius of 0-300 m and 300-600 m, respectively. Furthermore, the activity workflow for a mobile application in which the government can issue tax invoices and taxpayers can make payments is also proposed to facilitate the implementation of LVC as an alternative source to finance TOD projects.

Transit-oriented development (TOD) areas are being constructed in Indonesia, particularly in Jakarta, since the issuance of the Regulation of Minister of Agrarian Affairs and Spatial Planning in 2017. This development has led to an increasing supply of apartment units in Jakarta, but this is contrary to the declining residential property sales, which was at the worst level in 2019. Therefore, this study aims to determine the factors that influence consumer preferences in buying residential properties in the TOD area, which serves as the basis for planning residential apartments in the next TOD area development. This study adopts both quantitative and qualitative methods through desk study and benchmarking, as well as questionnaire surveys and fuzzy logic to achieve its objectives. The results obtained here showed that the order of priority factors for consumers intending to buy property is financial, property type, and demographic factors. Consumers intending to rent property prioritize property type, financial, and demographic factors. Moreover, the higher one’s income means the lower one’s interest in living in the TOD area. Another objective of this research is to harness many mobile internet users in Indonesia, reaching 53% of the total population, to develop a mobile phone-based application that serves as the platform for sale and purchase transactions of residential properties in the TOD area. The proposed application has six features: My Preferences, which provides recommendations for suitable apartment units according to user preferences; Search My Apartment; My Store; Mortgage Simulation; Payment Gateway; and Profile Settings.

Abstract Urban transport investments have contributed to the exponential increase of value from land and properties around the built infrastructure. Although literature had shown evidence of value uplift from the residential property due to transit development, little is known about the impact on commercial property values. This paper aims to evaluate the impact of rail transit proximity to the commercial property market by taking into account the pre-operation of the LRT project in Jakarta, Indonesia. This study utilizes a big data approach to accelerate research data processing by employing data mining method, as well as geographical information system (GIS) and hedonic price modeling (HPM) to investigate the property prices to formulate empirical evidence for the research. The results show opposite evidence compared to previous studies which argued that accessibility may contribute to the property price when closer to the transit station. The findings indicate that proximity to rail transit has an insignificant impact on the commercial property price compared to other variables such as building size, number of rooms, location, and hospitals. A comparison of the findings between this research with other studies was discussed and recommendation for further research development was proposed.

An airport is one of the country's infrastructures that provides air transportation services. In providing its services, To ensure aircraft safety, airports must conform to a set of international technical operating standards and planned operating procedures. In addition, airports also have a social responsibility to prevent pollution and support eco green. Therefore, this study aims to conduct a benefit cost analysis using electric ground support equipment in aviation industry, both for using e-GSE using diesel and using e-GSE using electricity. The method used in this research is the Benefit Cost Ratio method. Based on the research results, it shows that the use of e-GSE using both diesel and electricity is feasible because it has an net present value (NPV) value of more than 0. However, when compared with the assumption of 25 years of use, the use of e-GSE using diesel is considered more profitable than using electricity.

Infrastructure development plays a crucial role in accelerating the sustainable economic growth and development of a country. The increased provision of public infrastructure can help raise the GDP growth level by lowering production costs, enlarging markets, raising total factor productivity,and facilitating economic activities. Furthermore, infrastructure helps improve the living standards of the people by providing jobs and building the local suppliers' and developers’ capabilities, which contribute to reducing poverty and improving development outcomes.On the other hand, infrastructure is also crucial and lies at the core of efforts to achieve sustainable development. It encompasses many aspects of the Sustainable Development Goals (SDGs), such as health, education, access to energy, as well as clean water and sanitation. The infrastructure improvement is implied in most of the targets of SDGs. The importance of infrastructure must take the sustainable development dimension into account; hence greater efficiencies can be obtained to achieve SDGs successfully.Despite its potential benefits, infrastructure development that is poorly planned, implemented, or operated brings negative consequences for the society, which is escalated by an overrun budget and ineffective usage. Therefore, an infrastructure system must be developed to meet sustainability needs. Sustainability in infrastructure can be comprehended as how the attributes of the practices, products, services, and resources used in the infrastructure development can contribute to the continuation of ecosystem components and functions for generations in the future. Infrastructure projects must deliver better value by going hand-in-hand with sustainability, projecting its benefits and costs towards both the short-term goals and long-term implications.In order to be aligned with the dimension of sustainability, infrastructure needs to consider the economic, social, and environmental aspects. In terms of the economic aspect, infrastructure development should contribute to overall growth by supporting inclusivity, boosting productivity, and delivering accessible and affordable services. In terms of the social aspect, infrastructure is supposed to improve livelihoods, enhance human well-being, and remove poverty in all forms. Lastly, in terms of environmental aspects, the development of infrastructure should preserve the natural environment, ecosystems, and the biodiversity within by supporting the use of high-energy efficiency standards and promoting the resource-efficient approach contributing to reducing overall carbon emissions during its lifecycle.As sustainable infrastructure becomes a cornerstone to achieving the SDGs; therefore, the long-term vision for developing a national infrastructure system informed by SDGs should be ensured. We argue that these visions can be delivered by establishing adaptable plans that include implementing low-carbon solutions and resource-efficient, ecologically based, and energy-efficient technologies.

COVID-19 outbreak has contributed a negative effect on the infrastructure sector worldwide. Infrastructure projects need to shut down and put on hold for an unspecified time, as this sector required a high number of workers prone to the virus transmissions. However, the degree of slowdown between countries varies and depends on the severity of pandemic and lockdown conditions. Many countries are having a slowdown in economic growth. This condition has greatly affected the supply and demand sides, making it difficult to predict recovery timelines of on-going and future project development.In response to the COVID-19 pandemic, many governments worldwide launched stimulus plans to recover their economies. The severe impacts of the outbreak need to be addressed through international cooperation. During the pandemic and recession, government expenditure is crucial to driving the economy. Infrastructure projects have been argued as a way to accelerate economic recovery, considering the infrastructure industry is absorbing many workers and driving other supply chain industrial sectors. Therefore, green investment in renewable energy, clean transportation, advanced technologies, and other low-carbon infrastructure projects can stimulate the economy during pandemics and recession.Despite playing a pivotal role in coping with current challenges, not all countries have financial freedom and supporting policies enabling them to invest in infrastructure heavily. Therefore, these countries must prioritize projects that significantly boost income per capita, livelihood improvement, and employment opportunities, particularly for mid to lower-income households. The government is encouraged to pursue the construction of social infrastructures such as healthcare, education, public facilities, and transportation. This attempt is expected to facilitate quick recovery from the pandemic and maintain public services.Most stakeholders associated with the infrastructure sector that suffered from the crisis attempted to create a roadmap, quick wins, and strategic actions to prepare challenges they might face for the next normal. Related stakeholders are highly encouraged to consider digital technology adoption, supply chain redistribution of products and materials, resource allocation of company assets and portfolio, organization restructuring, identification of alternative market opportunities, and collaboration with other parties, including the government, to rebuild the industry. These actions aim to maintain businesses from a growing debt and high-cost recovery during the pandemic.Remote working has catapulted the need to utilize technology further to accelerate infrastructure development and gain maximum benefits for participated stakeholders. The fourth Industrial Revolution (Industry 4.0) enables automation and data exchange within a cyber-system. Digital transformation through big data, machine learning, cloud computing, and other artificial intelligence domain has facilitated real-time working condition between office and site. Advanced technologies also offer a vast potential to improve project performance and increase construction workers' productivity compared to the business as usual approach. We believe that the pandemic urged the utilization of a robust technological innovation in developing infrastructure projects in the post-pandemic era.

Digitalization has proven to be important in shaping cities towards more effective and efficient in terms of planning, management, and development. Digitalization that is taking place extensively right now has revolutionized the business ecosystem and changed the value chain process in many industries. It offers various enthralling opportunities yielded by the applications of technologies and intelligent systems to provide smart solutions to urban challenges. The effect of digitalization encouraged innovation by taking into account a physical-digital collaboration among related parties within the urban context and beyond. In a broader context, digital technologies have also played a significant role in accelerating access to more data and knowledge. It further fosters the accountability of institutions, stimulates the efficiency of science, and promotes more innovation opportunities in many sectors. Digital technologies supported by data are used in the development of smart cities to solve problems and make better decisions to achieve a higher urban quality of life. A smart city is an integrated system of six components, which consist of smart people, smart living, smart mobility, smart environment, smart economy, and smart governance; the smartness of which can be enhanced by the utilization of several crucial technologies including information and communication technology (ICT), Internet of Things (IoT), sensor technology, geospatial technology, Artificial Intelligence (AI), and Blockchain.

Major cities worldwide are now experiencing immense growth caused by rapid urbanization and industrialization over the past decades. Currently, more than half of the world’s population lives in the urban area and this number is projected to increase most likely to more than 65% by 2050. Nowadays, Asia has the highest number of urban dwellers, which subsequently followed by Europe and Africa. Back in 2000, Tokyo was the largest metropolitan area occupied by 37 million citizens, followed by New Delhi, Shanghai, Mexico City, and Sao Paulo. Other cities such as Cairo, Mumbai, Beijing, and Dhaka caught up with average inhabitants of around 20 million people. Urbanization has been recognized as the driver that has given a huge contribution that helps increase the economic development in urban cities on a global scale. Despite its positive influences for economic growth, urbanization has led to various urban challenges including but not limited to congestion, urban sprawl, environmental degradation, limited job opportunities, housing, and public safety.Along with the rise of information and communication technology (ICT) that is developing rapidly and disruptively in the past few years, traditional cities are changing by adopting the smart city concept aiming to address both its existing problems and future challenges. Even though there is no consensus yet among academics and policymakers about the definition of smart city concept, most of them agreed that smart city is a city development and management by considering the adoption of ICT in order to connect, monitor, and control various resources inside the city in an efficient and effective manner to optimize services for the people in performing their daily activities and to address the urban challenge. In general, a smart city should be seen more as an integrated system of sensors and processors integrated within the city’s infrastructure network rather than the employment of ICT specifically in a particular city domain. The concept of a smart city is currently presented as the solution to urban challenges by coming up with new innovations to solve the mounting problems faced by urban cities to make cities better connected and more efficient in terms of connection, coordination, usage of resources, resiliency and sustainability.

Several models have been developed to facilitate decision-making in disaster management, especially in relation to emergency resource allocations. These models are required in order for search and rescue personnel to operate efficiently. However, in Indonesia, in general, technology has not been used to help make decisions during the response phase; rather, these decisions are still made subjectively. This paper presents a decision-making model that helps search and rescue teams determine the number of personnel to deploy. Therefore, it streamlines the allocation of personnel in a search area, and it determines the number of personnel that are needed based on the area, population density, equipment, and the number of high buildings. Then, those variables are processed using a fuzzy expert system and a decision tree. The data and knowledge acquired as a reference were obtained from disaster management experts as well as experienced practitioners in the field of Search and Rescue.

This study aims at determining the ability of the fifth-grade students of state primary schools (SDNs) located in cluster 3 of Sabang City, Aceh; to rewrite folktales that are read, including the aspects of character, background, plot, language, and punctuation. The approach employed by this study is a descriptive quantitative approach. The population as well as samples in this study were 20 fifth-grade students of SDN 26 and 20 students of SDN 28 Sabang. The research data was collected by test techniques, in the form of assignments. Data is analyzed by quantitative descriptive analysis techniques, namely making a list of raw scores, calculating the average score of students, and classifying the results of the samples studied. The results of the study showed that the ability of the fifth grade students of SDNs in cluster 3 of Sabang City to rewrite the read folklore had not reached the specified value criteria. There are only 35% of students who have sufficient ability or score above 75, and many 65% of students do not have adequate ability who score below 75. This study also shows that of 40 students, only 3 students get a very good predicate with a score of 90, 30 students obtained a good predicate with a score of 65-85, and 7 students obtained a sufficient predicate with a score of 60.

Abstract Several phenolic compounds derived from plant biomass are attracting attention because they display high antioxidant activity. In this study, antioxidant activity was confirmed in 4-hydroxyphenylacetic acid (HPA), and transesterification reaction using Candida antarctica lipase B was performed to enhance the solubility of HPA. The HPA-diolein (HPA-DON) was synthesized from HPA and triolein, while the HPA-fish oil diglyceride (HPA-dFO) was synthesized from HPA and Menhaden fish oil. To increase the conversion yield, the enzyme reaction conditions of the substrate molar ratio, enzyme amount, and reaction time were optimized. After the reaction, HPA-DON and HPA-dFO were purely separated, using prep-LC. The activity assays using DPPH and ABTS radicals confirmed that HPA-DON and HPA-dFO have antioxidant activity. HPA-DON has high activity in non-polar solvents, while HPA-dFO has strong activity in both polar solvents and non-polar solvents. In addition, HPA-dFO has the growth inhibition activity for Bacillus coagulans, Geobacillus stearothermophilus, and Alcaligenes faecalis that cause food spoilage. Therefore, HPA-dFO is a new synthetic substance that has both antioxidant activity and antibacterial activity. The results indicate that these HPA-derivatives can be expected to be developed as important materials in the food and cosmetics industries.

Glucose and fructose (2.0% (w/v)) were used as the carbon sources and peptone was used as nitrogen source (1.5% (w/v)) in order to determine the kinetics study and yield of bacterial cellulose production. Coconut water was prepared as the fermentation medium. Data of the fermentation rate was observed at 19 points of certain time during 7 days of fermentation process. The number of cell biomass was calculated using cell dried weight method, total plate count method and optical density method which was observed at 660 nm. The remaining media substrate was analyzed using the DNS method, while the BC yield was determined by the gravimetric method. The results showed that the best values of μ, Td, Rx, Rs, Rp, Yp/s, Yp/x were achieved by fructose, while the best n and Yx/s value were achieved by glucose. The corresponding values were 0,1141/h, 6,0737 h, 0,1141 g/L/h, 0,0635 g/L/h, 0,3015 g/L/h, 0,317 g/g, 0,5927 g/g 1,3631 times and 0,0983 g/g respectively. The highest BC yield at the end of fermentation process was achieved by glucose carbon at 5.83 g/L, followed by fructose at 4.91 g/L.

The construction industry has a vast impact on the environment and the economy. Construction project performance requires a focus on increasing the resource efficiency and reducing the impact on the environment during the construction lifecycle. This on-going research is addressed towards the need of improving construction project performance by creating added-value for building projects using quality management (QM) and value management (VM) approaches. This research employs a quantitative approach through a questionnaire survey distributed to construction industry stakeholders. The questionnaire consists of three parts of discussion including identification of critical success factors and barriers that exist typically at each construction stage in building projects, plus identification of additional functions in building projects, and total investment cost for building projects. As the significant findings indicate, this research evaluates how the understanding of quality and its perceived processes plus how the identification of additional functions can be applied to deliver efficiency and more added-value in building construction projects e.g. Energy Efficient Buildings.

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