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Bulletin of Engineering Science, Technology and Industry
ISSN : -     EISSN : 30255821     DOI : https://doi.org/10.59733/besti
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.
Articles 177 Documents
THE EFFECT OF LEAN MANUFACTURING AND TOTAL PRODUCTIVE MAINTENANCE ON PRODUCTION EFFICIENCY IN THE MANUFACTURING INDUSTRY IN CIKARANG Darmawan Yulianto
Bulletin of Engineering Science, Technology and Industry Vol. 4 No. 3 (2026): September
Publisher : PT. Radja Intercontinental Publishing

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Abstract

This study examines the effect of Lean Manufacturing and Total Productive Maintenance (TPM) on Production Efficiency in manufacturing industries in Cikarang, Indonesia. Increasing competitive pressure in the manufacturing sector requires companies to reduce waste, minimize equipment downtime, and optimize the utilization of production resources. A quantitative explanatory research design was employed, with data collected through structured questionnaires using a five-point Likert scale. Respondents were selected from manufacturing companies operating in the Cikarang industrial area using purposive sampling. Lean Manufacturing was measured through waste elimination, continuous improvement, 5S, standardized work, and production-flow improvement, while TPM was assessed through autonomous maintenance, planned maintenance, preventive maintenance, equipment inspection, and employee involvement. Production Efficiency was evaluated based on production time, waste reduction, machine downtime, resource utilization, production costs, and output improvement. Data were analyzed using multiple linear regression. The findings indicate that Lean Manufacturing has a positive and significant effect on Production Efficiency. Total Productive Maintenance also has a positive and significant effect on Production Efficiency. Furthermore, both variables simultaneously contribute significantly to improving Production Efficiency. These findings suggest that integrating lean practices with effective maintenance strategies can reduce operational losses, improve equipment reliability, optimize resource utilization, and strengthen manufacturing competitiveness.
IPLEMENTATION OF UI/UX DESIGN FOR A ONE-WAY-TO-GO DELIVERY SYSTEM - SICEPAT HACKATON CHALLENGE Yuda Samudra; Santi Rahayu; Nanang; Addelia Aldha Kharisma
Bulletin of Engineering Science, Technology and Industry Vol. 4 No. 3 (2026): September
Publisher : PT. Radja Intercontinental Publishing

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Abstract

The SiCepat Hackathon Challenge is a collaborative start-up activity in building an application ecosystem that aims to support system updates to become more efficient and support the growth of digital businesses in accordance with market needs in the field of logistics technology to accelerate the delivery process of goods based on consumer needs. The main problem in the traditional delivery system is the lack of ability to determine the optimal delivery and pick-up location. Many couriers have to travel long distances simply because the system is unable to find the closest pickup point from the courier's position. As a result, delivery times are inefficient, and operational costs increase. In addition, an unclear commission system often causes dissatisfaction among couriers because it does not represent the effort and time they put in. Problem solving uses the Design Process with a Design Thinking method approach to study user needs. In the Design Thinking process, there are several stages such as Empathize, Define, Ideate, Prototype, and Test. There is also a Design System process to help determine the component requirements in the design interface that can be used for reusable purposes with the Atomic's Design approach. In the validation or testing stage of the feature development results, the final result of this development plan is to provide features for selecting a warehouse for picking goods, destination locations, a commission system, deposits, withdrawals, and shipping history. The final results of the Usability Testing with Usability Metrics using SEQ (Single Ease Question) obtained a score of 6 (out of 7 points), this is interpreted as Passing for each testing criterion carried out by the user.
RISK ANALYSIS OF WORK ACCIDENTS AND SYSTEM FAILURES IN SHIP MAIN ENGINE OVERHAUL Ardiana Vita Ratnasari; Agus Supriyadi
Bulletin of Engineering Science, Technology and Industry Vol. 4 No. 3 (2026): September
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.22646798

Abstract

The overhaul activity of a ship's main engine is one of the maintenance activities with a high level of complexity because it involves interactions between humans, mechanical equipment, engine components, and the working environment. This complexity may lead to potential occupational accident risks and system failures that can affect personnel safety and the operational reliability of the vessel. This study aims to analyze occupational accident risks and potential system failures during the main engine overhaul activity of MV CTP Fortune and to identify the contributing factors and appropriate risk control strategies. This research employed a descriptive qualitative approach using a risk analysis method. Data were collected through field observations, interviews with eight informants involved in ship engine operations and maintenance, and documentation studies related to main engine maintenance activities. Data analysis was conducted using the Hazard Identification, Risk Assessment, and Risk Control (HIRARC) approach to identify occupational accident risks and Failure Mode and Effect Analysis (FMEA) to analyze potential engine system failures. The results showed that main engine overhaul activities are closely related to human factors, equipment conditions, work methods, and environmental conditions, which may influence safety risks and system reliability. Risk identification indicates the importance of implementing control measures through appropriate work procedures, equipment inspections, effective communication, and risk-based maintenance strategies. This study concludes that the integration of occupational accident risk analysis and system failure analysis is essential to improve workplace safety and maintain the operational reliability of ship main engines.
SYNTHESIS OF GRAPHENE NANOSHEETS FROM COCONUT SHELLS AT A ROASTING TEMPERATURE OF 220°C AND A PYROLYSIS TEMPERATURE OF 500°C USING SEM-EDX OBSERVATIONS AND PERFORMANCE TESTS Giyanto; Thohirudin; M. Nasrun
Bulletin of Engineering Science, Technology and Industry Vol. 4 No. 3 (2026): September
Publisher : PT. Radja Intercontinental Publishing

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Abstract

To synthesize graphene nanosheet (GNS) using coconut shell as a basic material. The synthesis process involves two play stagesof initial roasting at 220 °C and pyrolysis at 500 °C. After the pyrolysis process, the synthesis results were analyzed using SEM andEDX to characterize the morphology and elemental composition of the resulting graphene nanosheets. Observations via SEM show a thin layer structure typical of graphene while EDX analysis confirms the dominance of carbon elements, indicating success in graphene formation. The results of the electrical conductivity work test were carried out to determine the DHL produced with a voltage of 40 V producing DHL 42.925, a voltage of 44V DHL 40.954, a voltage of 48 V DHL 36.875, a voltage of 51 V DHL 34.784, a voltage of 55 V DHL 33,290, it was found that the smaller the voltage used, the greater the electrical conductivity produced and the greater the voltage used, the smaller the electrical conductivity produced. The results of this research show that coconut shell can be an effective and environmentally friendly alternative material in graphene production, with a relatively simple and cheap synthesis method.
APPLICATION OF K-MEANS CLUSTERING FOR GROUPING STUDENT ACADEMIC PERFORMANCE IN A WEB-BASED DATA MINING SYSTEM Eka Sri Rahayu; Octaviana Anugrah Ade Purnama
Bulletin of Engineering Science, Technology and Industry Vol. 4 No. 3 (2026): September
Publisher : PT. Radja Intercontinental Publishing

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Abstract

Improving the quality of education is one of the main priorities in managing academic institutions in the modern era. This effort is not only achieved through the improvement of facilities and infrastructure but also through the utilization of informationtechnology to analyze academic data more comprehensively. One approach that can be applied to understand patterns of student achievement is data mining, which is the process of extracting meaningful information from large datasets to identify relevant patterns and relationships. This study aims to implement the K-Means Clustering method in the data mining process to classify students based on their levels of academic achievement. The K-Means Clustering method was selected because of its ability to efficiently group data based on the similarity of individual students' academic scores. Through this method, student scores from various subjects are analyzed and grouped into several categories, such as high, medium, and low academic achievement. Theresearch stages include data collection, data cleaning and normalization, implementation of the K-Means algorithm, andevaluation of the clustering results. The results of this study are expected to provide a clearer overview of the distribution ofstudents' academic achievement within the school environment. The information obtained can be utilized as a basis for strategic decision-making, such as designing more effective learning programs, providing specialized guidance for students with low achievement, and increasing motivation among high-achieving students. Therefore, this study is expected to make ameaningful contribution to the application of data mining technology in supporting data-driven educational quality improvement and promoting the optimal development of students' potential.
IMPLEMENTATION OF MACHINE LEARNING WITH SVM ALGORITHM FOR EARLY DETECTION OF STUDENT DROPOUT RISK Sri Mulyati; Endar Nirmala
Bulletin of Engineering Science, Technology and Industry Vol. 4 No. 3 (2026): September
Publisher : PT. Radja Intercontinental Publishing

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Abstract

One issue that higher education institutions face is dropout rates. The issue of students quitting or dropping out of school can affect a college's reputation, accreditation, and long-term viability. The institution, the individual student, their family, and human resource development are all negatively impacted by student dropout. Universities must thus predict the probability of student dropout to take early preventive action. This study focuses on developing a prediction model for dividing students into three groups: successful dropouts, enrolled, and graduates, using data processing and machine learning approaches. The research data will include academic grades, semesters, attendance, economic background, occupation, marital or single status, and e-learning. High research results using these parameters and the SVM algorithm achieved an accuracy of 78.5%. A degree of accuracy was successfully achieved by the research results using these parameters and the Support Vector Machine (SVM) method, suggesting that the Support Vector Machine (SVM) algorithm is appropriate for predicting student dropout in higher education.
ANALYSIS OF NEEDS AND TECHNICAL SPECIFICATIONS OF BENCH GRINDER-BASED BELT SANDER ATTACHMENT Aries Rohiyanto; Muhamad Ramadan; Ade Rachmat Johar Pangestu; Teo Lukmanul Hakim
Bulletin of Engineering Science, Technology and Industry Vol. 4 No. 3 (2026): September
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.22686204

Abstract

Conventional bench grinders at the Integrated Laboratory of Institut Teknologi Kalimantan (ITK) has a circular abrasive contact area unsuitable for angled flat-surface work such as bevel and weld joint preparation. This creates safety risks from workpieces becoming pinched or thrown, and precision results that are difficult to achieve consistently. This study aims to identify user needs for developing a belt sander system based on the existing bench grinder, then translate them into functional requirements and technical specifications as a design basis. A qualitative descriptive approach was used through semi-structured interviews with one laboratory technician and ten students across three study programs (Mechanical Engineering, Mechanical and Manufacturing Engineering, and Industrial Engineering), selected purposively based on direct experience using the tool for precision work, complemented by direct measurement of the work rest and tongue guard gaps using a caliper . The data were analyzed thematically, with priorities determined through triangulation of theme frequency. Four functional needs were identified: limiting the gap between the workpiece and abrasive element per safety standards, an adjustable and lockable angled workpiece support, adequate support area for size variation, and an alternative abrasive surface for non-metal materials. Measurement confirmed informant perceptions: the work rest gap on the left wheel was 3.60 mm, exceeding the 3.175 mm threshold under ASME B7.1/OSHA 1910.215, with a similar pattern in the tongue guard gap (6.80 mm, exceeding 6.35 mm). This study provides a design requirement basis derived from qualitative and quantitative field data for developing a belt sander attachment on the existing bench grinder.