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Analisis Sistemik Kebangkrutan Dapur Mami Medan dan Perumusan Kerangka Resiliensi Digital : Penelitian Yoga Fitriana; Muhammad Irfan Sarif; Yohannes France Limbong; Lamsihar Banjarnahor
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 3 (2026): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 3 (Januari 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i3.4996

Abstract

This study uses a qualitative approach to in-depth examine the failure of the culinary MSME "Dapur Mami" in Medan City, which in 2021 demonstrated superior performance through product exports to international markets. The study aims to identify the main factors causing the bankruptcy and formulate an information systems (IS)-based resilience framework for risk mitigation. Data were collected through in-depth interviews and digital artifact review, then analyzed using thematic analysis. The results identified four main causes of failure: unstable export market dominance, weak production and supply chain management, suboptimal digital marketing and customer relationship management (CRM), and the absence of an information system supporting financial analysis and decision-making. This bankruptcy reflects a systemic failure resulting from premature expansion without operational readiness and digital infrastructure. As a contribution, this study develops a Digital Resilience Framework for Culinary MSMEs (KRD-UK) based on digital transformation and risk management, which encompasses strengthening the domestic market, automation-based market diversification, and data-driven business performance optimization, to increase the resilience of culinary MSMEs in facing global market dynamics.
Optimizing the AMIK Medicom Exam Schedule Using Simulated Annealing and Linear Programming Yohannes France Limbong; Muhammad Irfan Sarif; Muhammad Syahputra Novelan
Bahasa Indonesia Vol 18 No 06 (2026): Instal : Jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalinstall.v18i06.549

Abstract

Examination timetabling in vocational higher education is a combinatorial optimization problem involving courses, students, invigilators, classrooms, laboratories, and time slots. At AMIK Medicom, the schedule preparation process is still semi-manual, which may cause student conflicts, room conflicts, unbalanced invigilator assignments, and poor exam distribution. This study aims to design an examination timetabling optimization model by integrating Linear Programming (LP) and Simulated Annealing (SA). LP is used to formulate hard constraints to ensure schedule feasibility, while SA is applied to improve schedule quality based on soft constraints, such as exam spread and room utilization. The dataset consists of 29 lecturers, student data from academic years 2021/2022 to 2024/2025, and curricula from three study programs with 154 courses in total. The proposed design shows that the model can transform the examination timetabling problem into structured decision variables, objective functions, and mathematical constraints. In the prototype testing scenario, the LP-SA approach is directed to produce a timetable with zero hard-constraint conflicts and lower soft-constraint penalties compared with semi-manual preparation. The model can serve as a basis for developing a web-based automatic examination scheduling system to improve academic administrative efficiency at AMIK Medicom.