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All Journal Journal of Information System and Computer
Leni Amrita
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Computer Science & IT

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OPTIMALISASI PENJADWALAN KULIAH MENGGUNAKAN ALGORITMA GENETIKA UNTUK MENINGKATKAN EFISIENSI JADWAL PADA PROGRAM STUDI SISTEM INFORMASI UNISNU JEPARA Nuradira, Afrida Hilda; Muhammad Roiful Anam; Leni Amrita; Maulidya Zumrotul Izzati; Heru Saputro
Journal of Information System and Computer Vol. 4 No. 2 (2024): Desember 2024
Publisher : Universitas Islam Nahdlatul Ulama Jepara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34001/jister.v4i2.1220

Abstract

The scheduling process in higher education is a complex challenge because it involves time allocation, space management, and human resources. In the UNISNU Jepara Information Systems Study Program, problems such as schedule clashes, uneven distribution of lecturer workloads, and inefficient classroom utilization often occur due to the increasing number of students and variety of courses. This research proposes the application of genetic algorithm as an optimization solution due to its ability to handle problems with various constraints and produce near-optimal solutions through the process of selection, crossover, and mutation. This research includes three main stages: data collection, genetic algorithm implementation, and result evaluation. Data was obtained from academic administration documents, including class schedules, course instructors, and classroom capacity. The evaluation results show that the genetic algorithm is able to reduce schedule conflicts, improve lecturer time efficiency, and maximize the use of classrooms. In conclusion, the application of genetic algorithms not only solves technical problems in scheduling, but also contributes to the development of a modern and adaptive academic information system, supports more effective decision-making, and ensures a smoother teaching-learning process in a college environment.
EFISIENSI PENGELOLAAN PERSEDIAAN STOK MENGGUNAKAN METODE SAFETY STOCK DI KAKI NAGA JEPARA Putri, Natasya; Leni Amrita; Arina Zulfa; Danang Mahendra; Joko Minardi
Journal of Information System and Computer Vol. 4 No. 2 (2024): Desember 2024
Publisher : Universitas Islam Nahdlatul Ulama Jepara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34001/jister.v4i2.1221

Abstract

Inventory management is crucial for any business to ensure smooth operations and customer satisfaction. This study investigates the efficiency of inventory management using the Safety Stock method at Kaki Naga Jepara. The research aims to determine how this method can help maintain optimal inventory levels, reduce stockouts, and minimize carrying costs. Using a combination of quantitative data analysis and case study methodology, the results indicate that the Safety Stock method significantly improves inventory management efficiency by providing a buffer against demand variability and lead time fluctuations.
Co-Authors Arina Zulfa Danang Mahendra Heru Saputro Joko Minardi Maulidya Zumrotul Izzati Muhammad Roiful Anam Nuradira, Afrida Hilda putri, natasya