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Penerapan Metode PROMETHEE dalam Sistem Penunjang Keputusan untuk Pemilihan Supplier di ZIO Petshop & Petcare Subkhi, Alfan; Maulana, Asep Erlan; Ramadhani, Ichsan
JiTEKH Vol. 13 No. 2 (2025): September 2025
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35447/jitekh.v13i2.1279

Abstract

Strategic supplier selection plays a pivotal role in maintaining the operational stability and competitiveness of & Petcare. Currently, the primary challenge lies in the reliance on a manual, intuition based selection process, which is prone to subjectivity and inefficiency in decision making. This study aims to design and build a web based Decision Support System (DSS) by implementing the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) to generate objective supplier recommendations. The system development methodology adopts the Waterfall model, encompassing analysis, design, implementation, and testing phases. In this case study, the system evaluates ten supplier alternatives based on five fundamental criteria: product quality, service, distance, price, and delivery time. The computational results demonstrate that the PROMETHEE method effectively provides accurate rankings, with Supplier 5 achieving the top position with the highest Net Flow value of 0.6222. Validation through Black Box and White Box testing confirms that all system functionalities and logic structures operate correctly and efficiently. The implementation of this system proves effective in enhancing accuracy, objectivity, and time efficiency in the supplier selection process.
The Scopus Radar Readiness Model for Mitigating Algorithmic Discontinuation Risks Laksana, Eko Pramudya; Arief, Ikhwan; Multazam, Mochammad Tanzil; Busro, Busro; Zainudin, Arif; Dani, Akhmad Anwar; Yusro, Andista Candra; Nur, Dedi Rahman; Deta, Utama Alan; Saifuddin, Much Fuad; Fauziddin, Mohammad; Ratodi, Muhamad; Maulana, Asep Erlan; Akbar, Muh. Firyal; Zamzami, Lucky; Atmadja, Aldy Rialdy
Jurnal Pembelajaran, Bimbingan, dan Pengelolaan Pendidikan Vol. 6 No. 3 (2026)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um065.v6.i3.2026.3

Abstract

The integrity of the global academic record is under unprecedented threat due to the industrialization of scientific misconduct, driven by paper mills, citation cartels, and identity theft, prompting major bibliographic databases to replace manual curation with algorithmic systems. This study examines the operational mechanics of the Scopus Radar tool, an unsupervised anomaly detection system designed to identify and eliminate articles exhibiting anomalous behavior. We reconstruct the bibliometric indicators that lead to discontinuation by triangulating data from the November 2025 Scopus Discontinued Titles list, public Elsevier policy papers, and independent bibliometric research. Our study of 62 cancelled journals shows that Publication Concerns (59.7%) and Outlier conduct (14.5%) are the top grounds for removal. There are definite tendencies when it comes to hyper-concentrated authorship, quick volume velocity spikes, and citation stacking that does not make sense. We also see a "contagion effect," where certain publications have far greater rates of quitting than others. Based on these findings, we propose the Scopus Radar Readiness Model (SRRM). The model is based on the Core Practices of the Committee on Publication Ethics (COPE) and has four stages of growth. This roadmap gives editorial boards the tools they need to go from reactive compliance to proactive integrity assurance. They can do this by using internal bibliometric audits to find and fix problems before they lead to external algorithmic enforcement. The results show that journals need to use Level 4 Optimized integrity practices to stay alive in a time when automated gatekeeping is common.