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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 12 Documents
 1   2 
Search results for , issue "Vol. 3 No. 4 (2025): December" : 12 Documents clear
“PERFORMANCE ANALYSIS AND OPTIMIZATION OF ACADEMIC DATA-BASED LEARNING SYSTEMS USING AN INDUSTRIAL ENGINEERING APPROACH” Mahira Nazhifa Faiha; Irsyah Fairuz Lintang; Syahdan Alfadhil; Aldi Rasmana Tarigan
Bulletin of Engineering Science, Technology and Industry Vol. 3 No. 4 (2025): December
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/besti.v3i4.159

Abstract

Advances in information technology have encouraged educational institutions to generate large amounts of student academic data, such as grades, attendance, and learning activities. However, in practice, this data is still mostly used for administrative purposes and has not been optimally utilized to improve the performance of the learning system. This study aims to analyze student academic performance patterns and optimize the performance of the academic data-based learning system at the senior high school (SMA) level from an industrial engineering perspective. This study uses a descriptive quantitative approach with a case study method at SMAS Al Azhar Medan. The research data consists of student academic data as secondary data and student perception data as primary data obtained through questionnaires. Data analysis techniques include descriptive statistical analysis, simple correlation analysis, and analysis of the gap between actual conditions and learning performance standards. The results show that attendance and assignment scores have a positive relationship with student learning outcomes. In addition, there is still a gap between actual learning performance and the ideal conditions set by the school. Based on these analysis results, this study produces recommendations for optimizing the learning system oriented towards process improvement and data-based learning decision making. This study is expected to be an initial reference in the development of an academic data-based learning system at the high school level.
SUSTAINABLE EGG SUPPLY CHAIN MODEL WITH GREEN SUPPLY CHAIN MANAGEMENT APPROACH Kimberly Febrina Kodrata; Hasan Sitorus
Bulletin of Engineering Science, Technology and Industry Vol. 3 No. 4 (2025): December
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/besti.v3i4.161

Abstract

This research aims to develop a sustainable egg supply chain model through the application of Green Supply Chain Management (GSCM). The research method used is qualitative with a literature study approach, through analysis of various relevant national and international journals. The results of the study show that the main dimensions of GSCM that affect the sustainability of the egg supply chain include green purchasing, green manufacturing, green distribution, reverse logistics, and green collaboration. The application of this concept is able to reduce production waste, reduce carbon emissions, increase cost efficiency, and strengthen the competitiveness of egg products in the market. The resulting conceptual model describes a circular supply chain system, where waste and production by-products can be reused as new inputs in the production process. Thus, GSCM is not only oriented towards economic efficiency, but also supports environmental and social sustainability in an integrated manner. This study recommends the importance of collaboration between farmers, distributors, and the government in strengthening the implementation of green supply chains in the egg agribusiness sector.

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