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Bulletin of Engineering Science, Technology and Industry
Published by PT. RADJA INTERCONTINENTAL PUBLISHING
ISSN : -     EISSN : 30255821     DOI : https://doi.org/10.59733/besti
Core Subject : Science, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering
Bulletin of Engineering Science, Technology and Industry | ISSN: 3025-5821 is a peer-reviewed journal that publishes popular articles in the fields of Engineering, Technology and Industrial Science. This journal is published 4 times a year, namely in March, June, September and December. We invite scientists, practitioners, researchers, lecturers and students from various countries and institutions to contribute to publishing their work and research results in the fields of Engineering, Technology and Industry.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 149 Documents
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THE DESIGN AND DEVELOPMENT OF A BANJAR ADAT WEBSITE AS A DIGITAL IMAGE OF SOCIAL LIFE IN BALINESE COMMUNITIES Bagus Putu Pramana Putra; I Kadek Widiantara; I Putu Gede Budayasa; I Dewa Gede Agung Pandawana
Bulletin of Engineering Science, Technology and Industry Vol. 4 No. 2 (2026): June
Publisher : PT. Radja Intercontinental Publishing

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Abstract

The rapid advancement of information technology has driven the need for digital transformation in traditional communities, including Banjar Adat in Bali, which plays a central role in regulating social and cultural life. However, the absence of structured digital media has limited the effectiveness of information dissemination, documentation, and representation of cultural identity. This study aims to design a conceptual model of a website-based information system as a digital representation of the social life of Banjar Adat communities. The research adopts a Research and Development (R&D) approach with a qualitative method in the needs analysis phase. Data were collected through observation, interviews, and documentation involving banjar administrators and community members. The system design process employs a prototype approach, including user needs analysis, system structure design, user interface (UI/UX) design, and feature modeling such as banjar profiles, activity calendars, announcements, and documentation galleries. The results of this study are in the form of a conceptual system design and interface prototype that align with user needs and reflect local cultural values. The findings indicate that the proposed design can serve as a foundational model for developing a website that functions both as an information medium and as a digital image of social life in Balinese communities.
Intelligence at the Vault: How Machine Learning is Revolutionizing Banking, Credit Risk & Fraud Detection. An In-Depth Analysis of Machine Learning Applications for Banking and FinanceThe financial services sector stands at an inflection point, driven by Rishabh Vinod Kumar Dubey; Dr. Ravinder Singh Madhan
Bulletin of Engineering Science, Technology and Industry Vol. 4 No. 1 (2026): March
Publisher : PT. Radja Intercontinental Publishing

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Abstract

The financial services sector stands at an inflection point, driven by the rapid proliferation of machine learning (ML) technologies that are fundamentally reshaping how banks and financial institutions operate. This research paper presents a comprehensive in-depth analysis of the integration of machine learning in banking and finance, with a focused examination of two primary objectives: (1) enhancing credit risk assessment mechanisms, and (2) improving fraud detection and prevention systems. Drawing on data from over 120 global financial institutions, peer-reviewed literature, and empirical case studies spanning 2018 to 2024, this paper investigates how ML algorithms — including Random Forest, Neural Networks, Support Vector Machines, Gradient Boosting, and Deep Learning architectures — have transformed traditional banking paradigms. Our findings indicate that ML-powered credit risk models achieve accuracy rates of up to 92%, outperforming conventional statistical models by 15-20 percentage points. In fraud detection, ML systems demonstrate detection accuracy of 96%, with false-positive rates reduced by up to 60%. The paper further explores implementation challenges such as data quality issues, model interpretability, regulatory compliance under Basel III/IV frameworks, and ethical considerations including algorithmic bias. Recommendations for responsible ML deployment are provided, alongside projections for future developments including explainable AI (XAI) and federated learning in financial contexts.
IMPLEMENTATION OF DESIGN THINKING FOR THE DIGITAL TRANSFORMATION OF DESA CANTIK MENTORSHIP AT BPS-STATISTICS TANGERANG REGENCY Reza Septian Pradana
Bulletin of Engineering Science, Technology and Industry Vol. 4 No. 2 (2026): June
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.21175277

Abstract

Village for Statistical Excellence or Desa Cinta Statistik (Desa Cantik) program is a sectoral statistical development program implemented by the BPS-Statistics Indonesia to improve literacy, data management quality, and statistical utilization at the village level. However, the implementation of face-to-face statistical development still faces various obstacles, such as limited learning time, a work environment full of interruptions for village officials, difficulty repeating material, and limited access to flexible learning media. This study aims to design a digital transformation of Desa Cantik development program at the BPS Tangerang Regency using a design thinking approach. The study used a qualitative approach with the stages of understand, observe, define point of view, ideate, prototype, test, and reflect. Data collection was conducted through in-depth interviews, observation, documentation, and usability testing with village statistical agents assisted by BPS Tangerang Regency. The results showed that village statistical agents need statistical learning media that is simple, flexible, easily accessible, and can be re-learned independently. Based on the results of the ideation and testing process, a prototype of an Android-based e-learning application called StaT-Gem (Statistik Tangerang Gemilang) was developed, which features short learning videos, a structured material repository, an offline mode, and light quizzes with positive feedback. Usability testing results indicate that the application is easy to use, has intuitive navigation, and can help users access learning materials more flexibly according to the working conditions of village officials. This study concluded that the application of design thinking can produce digital transformation solutions that are more adaptive to user needs and support the sustainability of Desa Cantik's statistical development through an effective and user-centered e-learning approach.
Intelligent Finance: A Comprehensive Analysis Of Machine Learning Transforming Banking, Credit Risk & Fraud Detection Rishabh Vinod Kumar Dubey; Dr. Ravinder Singh Madhan²
Bulletin of Engineering Science, Technology and Industry Vol. 4 No. 2 (2026): June
Publisher : PT. Radja Intercontinental Publishing

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Abstract

The integration of machine learning (ML) into banking and financial services represents one of the most significant technological transformations of the 21st century. This research paper presents an in-depth analysis of how ML algorithms and models are reshaping core banking operations—with a focused examination of two critical objectives: enhancing credit risk assessment and improving fraud detection and prevention. Drawing on empirical data, industry case studies, comparative model evaluations, and forward-looking projections, this paper demonstrates that ML-driven systems consistently outperform traditional statistical methods in accuracy, speed, and adaptability. The findings underscore the urgent need for financial institutions to adopt robust ML frameworks, while also addressing challenges related to model interpretability, regulatory compliance, and ethical deployment.
GREEN PRODUCTIVITY ANALYSIS BASED ON ENVIRONMENTAL RISK ANALYSIS AND ENVIRONMENTAL PERFORMANCE IN THE LIQUID WASTE ASPECT OF PT NATA DE COCO X Andini Nur Anisa B; Nabila Putriyandri Alifa; Sillak Hasiany
Bulletin of Engineering Science, Technology and Industry Vol. 4 No. 2 (2026): June
Publisher : PT. Radja Intercontinental Publishing

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Abstract

The food and beverage industry, including Nata de Coco production in Indonesia, plays a vital role in the economy. PT Nata de Coco X, as a market leader in this sector, needs to implement the Green Productivity concept to meet green industry standards. This study aims to evaluate the implementation of Green Productivity based on environmental risk and performance analysis. Considering that the liquid waste discharge almost exceeds the established quality standards, the environmental risk is indicated as high. Data triangulation methods (questionnaires, observations, and interviews) indicate that out of 16 processes, 6 are classified as low, 9 are classified as moderate, and 1 is classified as medium in the qualitative environmental risk analysis. The semi-quantitative method produces an overall environmental risk score of 102, which is classified as low risk. The environmental performance assessment shows a score of 94.4, categorized as very good. These findings are reinforced by observations and interviews. A Green Productivity strategy was developed using cause-and-effect analysis and a fishbone diagram, with 11 main strategies identified. The 5W1H analysis is used to develop a strategy, resulting in 1 first priority solution, namely utilizing wastewater from washing packaging, ablution and washing vegetables for watering plants, the last priority solution is installing pipes/hoses as a suitable wastewater drainage path.
ANALYSIS OF HOUSEKEEPING SERVICE QUALITY IMPROVEMENT USING A LEAN SERVICE APPROACH AT PT XYZ Abdurrahman; Heru Darmawan; Rani Rahmadiyani
Bulletin of Engineering Science, Technology and Industry Vol. 4 No. 2 (2026): June
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/besti.v4i2.186

Abstract

The hospitality industry faces increasing demands for service quality improvement due to customer expectations for fast, consistent, and high-quality services. The housekeeping department has an important role in maintaining guest satisfaction because it is directly related to room cleanliness, comfort, and readiness. This study aims to analyze waste in the housekeeping service process and formulate improvement recommendations using the Lean Service approach at PT XYZ. This research used a descriptive qualitative method with data collection conducted through observations of Room Attendant activities, interviews with housekeeping staff and supervisors, and work process documentation. The analysis was carried out using process mapping, classification of value added, necessary non value added, and non value added activities, waste identification, and fishbone diagrams. The results showed that the housekeeping process still contained several main wastes, including waiting due to limited linen availability, unnecessary motion caused by searching for equipment, transportation due to movement to storage areas, and overprocessing caused by repeated activities. The discussion indicated that these wastes were influenced by human factors, work methods, materials, and work environment, requiring improvements through trolley standardization, linen management, and staff competency development. This study concludes that the Lean Service approach can improve the effectiveness of housekeeping work processes and support the enhancement of hotel service quality.
ANALYSIS OF THE INFLUENCE OF SEI MANGKEI SPECIAL ECONOMIC ZONE INFRASTRUCTURE ON THE ECONOMIC TRANSFORMATION OF SIMALUNGUN REGENCY Feby Milanie; Abdiyanto; Ria Pratiwi Atmaja; Hasqiban Ritonga; Wahyu Rinaldi; Azura Cahaya; M.Arief Kurniawan; Dony Hardyansyah Pasaribu; Tesa Harefa
Bulletin of Engineering Science, Technology and Industry Vol. 4 No. 2 (2026): June
Publisher : PT. Radja Intercontinental Publishing

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Abstract

This study aims to analyze the impact of infrastructure development in the Sei Mangkei Special Economic Zone (SEZ) on economic growth in Simalungun Regency using a SWOT ( Strengths , Weaknesses , Opportunities , and Threats analysis method . The Sei Mangkei SEZ is a new economic growth center focused on the downstream palm oil and rubber industries . The primary focus of this study is to evaluate how the availability of supporting infrastructure — such as multimodal connectivity ( logistics) railways and toll roads ), dry port facilities , and energy independence — can drive the transformation of the region's economic structure from the primary sector ( raw agriculture ) to the secondary sector ( manufacturing ).
ANALYSIS OF REGIONAL RESILIENCE IN THE NORTH SUMATRA SPORTS CENTER AREA DEVELOPMENT PLAN BASED ON GIS AND SWOT Feby Milanie; Abdiyanto; Jimmy Karendi; Wirdatul Akmal; Novi Armen; Roldes Ricardo; Inas Suha Azzahra; George Nollan Zaro Zega
Bulletin of Engineering Science, Technology and Industry Vol. 4 No. 2 (2026): June
Publisher : PT. Radja Intercontinental Publishing

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Abstract

The development of the North Sumatra Sport Center in Batang Kuis Subdistrict, Deli Serdang Regency, is part of an effort to establish a new growth center that supports the enhancement of the region's physical, social, economic, and environmental resilience. The objective of this study is to analyze the region's resilience potential based on the development plan for the North Sumatra Sports Center, using a spatial approach based on Geographic Information Systems (GIS) and a SWOT analysis, with the aim of formulating sustainable and resilient regional development strategies. The research method used is a mixed-methods approach combining qualitative and quantitative analysis. Research data were obtained from spatial satellite imagery, area planning documents, observations, and literature reviews. GIS analysis was used to identify spatial structure, accessibility, land use, as well as the area's potential and vulnerabilities, while SWOT analysis was used to determine development strategies based on the region's internal and external factors. The research findings indicate that the North Sumatra Sport Center area holds strategic potential as a new economic growth hub through the integration of sports, business, education, and transportation functions based on the Transit-Oriented Development (TOD) concept. The area's key strengths lie in its regional accessibility, multimodal connectivity, and the presence of integrated supporting facilities. However, the area's development also faces challenges in the form of flood risks due to land-use changes, the potential for gentrification, and pressures on environmental quality. Based on the SWOT analysis results, the recommended priority strategy is to optimize the integration of the railway station with the business center and commercial areas to enhance the region's competitiveness, accompanied by strengthened spatial planning management, sustainable drainage systems, and the provision of green open spaces as a form of environmental mitigation. This study is expected to serve as a reference for the planning of integrated sports areas oriented toward the principles of sustainability and regional resilience.
APPLICATION OF KARAKURI KAIZEN TO IMPROVE EFFICIENCY AND REDUCE WASTE IN THE PRODUCTION AREA Maya Nurmayanti Uswatun Hasanah; Heru Darmawan; Rani Rahmadiyani
Bulletin of Engineering Science, Technology and Industry Vol. 4 No. 2 (2026): June
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.21271624

Abstract

Competition in the manufacturing industry encourages companies to improve efficiency, productivity, and the smoothness of material flow. This study aims to analyze the implementation of Karakuri Kaizen in reducing waste in the material handling process on the die casting production line of PT AXZ. The material used to develop this article was taken from a thesis document containing the background, theoretical basis, methods, observation results, line balancing, a comparison of touching before and after improvement, and the bibliography. The research method used an applied approach with a quantitative descriptive design through field observation, interviews, documentation, literature study, work-time measurement, and before-after analysis. The results show that layout improvement and the use of the Karakuri Kaizen mechanism were able to reduce transportation and motion waste. The number of touches decreased from 17 times to 7 times, material handling cycle time became approximately 1 minute faster, CT irregular MP lastman improved by about 0.7 seconds, and manpower requirements were reduced from 4 operators to 3 operators. Line efficiency remained in a safe condition at 84.5% because the 60-second cycle time was still below the 71-second takt time. Thus, Karakuri Kaizen effectively supports a leaner, more ergonomic, and more productive production process without increasing electrical energy consumption.
CLIMATE CHANGE AND ITS IMPACT ON AGRICULTURE, HEALTH, PSYCHOLOGY, HUMAN RESOURCE MANAGEMENT, AND FISHERY PRODUCT TECHNOLOGY: A MULTIDISCIPLINARY REVIEW Hafiz Nurdiansyah; Liandra Khairunnisa; Dirhamsyah; Ahyani Ridhayani Lubis; Lucia Dewi Indrayani Manurung; Misnun; Nurhayati
Bulletin of Engineering Science, Technology and Industry Vol. 4 No. 2 (2026): June
Publisher : PT. Radja Intercontinental Publishing

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Abstract

Climate change is one of the greatest global challenges of the 21st century, impacting various aspects of human life. Rising global temperatures, shifting rainfall patterns, increasing extreme weather events, and rising sea levels have significantly impacted public health, psychological well-being, human resource management, and the fisheries industry. This article aims to examine the impacts of climate change in a multidisciplinary manner by integrating the latest research findings. The method used is a literature review through a review of scientific articles, international reports, and policy documents published in recent years. In the health sector, climate change increases the incidence of infectious diseases, heat-related illnesses, malnutrition, and environmental health disorders. From a psychological perspective, people experience increased stress, anxiety, depression, and eco-anxiety due to environmental uncertainty and loss of livelihoods. In human resource management, organizations are required to develop adaptation strategies through capacity building, occupational safety, organizational flexibility, and the development of green competencies. In the fisheries technology sector, climate change affects the quality of raw materials, increases the risk of post-harvest damage, and encourages innovation in processing, packaging, and more efficient cold chain technologies. A multidisciplinary approach is an important strategy in increasing community resilience to climate change.

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