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All Journal Journal of Embedded Systems, Security and Intelligent Systems Marsipature Hutanabe: Jurnal Pengabdian Kepada Masyarakat
Berto Nadeak
STMIK Mulia Darma
Humanities Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Languange, Linguistic, Communication & Media

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Pemasangan Dan Pemeliharaan Jaringan Komputer Pada Sekolah Menengah Kejuruan Parulian 1 Medan Sony Bahagia Sinaga; Berto Nadeak
Marsipature Hutanabe: Jurnal Pengabdian Kepada Masyarakat Vol. 1 No. 02 (2024): Marsipature Hutanabe: Jurnal Pengabdian Kepada Masyarakat
Publisher : CV. Devi Tara Innovations

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The development of computer technology is increasing rapidly, this can be seen in the era of the 80s computer networks are still a puzzle that academics want to answer, and in 1988 computer networks began to be used in universities, companies, now entering this millennium era, especially the world wide internet has become the daily reality of millions of people on this earth. In addition, network hardware and software have completely changed, at the beginning of its development almost all networks were built from coaxial cables, now many of them have been built from fiber optics or wireless communication. Computer network technology is already used in various fields including education. Some schools have computers to speed up the work process, and some even use computer network technology to support the learning process. Currently, many schools have computer networks that integrate local networks into intranet and internet networks. Given the need for computer-based education delivery, computer networks in schools are very helpful in the teaching and learning process and make it easier for students and teachers to access information through the internet. In this training, participants will be taught and accompanied to learn to install computer networks. The purpose of this activity is to provide basic computer network training to students, starting from the introduction of computer networks, the practice of making network cables to the configuration of LAN computer networks. The results obtained in general students quickly mastered the material in the installation of computer networks, this is shown by the results of the pre-test. The importance of the results of this service is used to find out how much ability to absorb/capture the material provided by the instructor.
Decision Support System Integrating Entropy Weighting and MARCOS Ranking for Multi-Criteria Data-Driven Prioritization Lince Tomoria Sianturi; Berto Nadeak; Asyahri Hadi Nasyuha; Moses Adeolu Agoi
Journal of Embedded Systems, Security and Intelligent Systems Vol 7 No 2 (2026): June 2026
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/r0d49p45

Abstract

Purpose – This study aims to develop a data-driven decision support system that integrates entropy-based objective weighting with the MARCOS ranking method to improve multi-criteria prioritization in credit risk assessment by enhancing objectivity, consistency, and robustness of decision-making outcomes. Design/methods/approach – A hybrid MCDM framework is proposed, combining entropy weighting to determine criterion importance based on data variability and the MARCOS method to rank alternatives relative to ideal and anti-ideal solutions. The approach is evaluated using the Statlog German Credit dataset consisting of 1,000 applicants and six evaluation criteria. Performance is assessed through comparative analysis with conventional methods (TOPSIS and VIKOR), sensitivity testing under weight perturbation, and stability analysis using Spearman rank correlation. Findings - The results demonstrate that the proposed Entropy–MARCOS framework produces reliable and consistent prioritization outcomes. The model achieves a high ranking stability with a Spearman correlation of 0.91 and outperforms conventional MCDM methods in terms of ranking consistency. The findings also indicate that criteria such as age and employment duration have the highest discriminative importance, and the method remains robust under moderate variations in criterion weights. Research implications/limitations – However, the evaluation is limited to a single dataset and static criteria weights, which may affect generalizability across different domains or dynamic environments. Future research should explore adaptive weighting mechanisms and validate the model on more diverse datasets. Originality/value – This research contributes a unified hybrid framework that combines entropy-based objective weighting with the MARCOS ranking method, providing a more transparent, data-driven, and stable approach for multi-criteria decision-making, particularly in credit risk prioritization contexts.
Co-Authors Asyahri Hadi Nasyuha Lince Tomoria Sianturi Moses Adeolu AGOI Sony Bahagia Sinaga