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All Journal TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Pustaka Data : Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitektur Komputer Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research
Siregar, Dzilhulaifa
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Journal : Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research

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Optimasi Penjadwalan Produksi dengan Jaringan Syaraf Tiruan dan Algoritma Genetika Siregar, Dzilhulaifa; Sofinah Harahap, Lailan; Fadlan Alamsyah, Muhammad
Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research Vol. 2 No. 1 (2025): NOVEMBER 2024 - JANUARI 2025
Publisher : UNIVERSITAS SERAMBI MEKKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/mister.v2i1.2324

Abstract

Optimal production scheduling is essential to improve operational efficiency in the manufacturing industry. This study proposes a combination of Neural Networks (NN) and Genetic Algorithms (GA) to solve production scheduling problems. NN is used to predict processing time based on historical data, while GA optimizes the production sequence to minimize idle time and increase throughput. Simulation results show that this combined method provides a more efficient scheduling solution compared to conventional methods.
Co-Authors Akmal, Muhammad Haikal Dewi, Aulia Kartika Fadlan Alamsyah, Muhammad Harahap, Khaila Mukti Mhd Furqan Nasution, Luftia Rahma Nugroho, Agung Pangestu, Dimas Rahmadani, Noni Fauzia Sofinah Harahap, Lailan Syahputri, Rifdah