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All Journal JSI (Jurnal sistem Informasi) Universitas Suryadarma Jurnal Manajemen Informatika Jayakarta
Aida Fitriyani
Universitas Bhayangkara Jakarta Raya, Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Materials Science & Nanotechnology

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SISTEM PENJADWALAN MATA PELAJARAN MENGGUNAKAN ALGORITMA GENETIKA SMK PGRI RAWALUMBU Aida Fitriyani; Hendarman Lubis; Andy Achmad Hendharsetiawan; Johanes Andi Lawrence Hutahaean
Jurnal Manajamen Informatika Jayakarta Vol 5 No 2 (2025): Jurnal Manajemen Informatika Jayakarta (JMI Jayakarta)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jmijayakarta.v5i2.1881

Abstract

Subject Scheduling System Using the Genetic Algorithm at SMK PGRI Rawalumbu. Bekasi. Faculty of Computer Science. Bhayangkara University, Jakarta Raya. 2024. The aim of this research is to reduce the time required to develop and test schedules. Ensure there are no clashes in the teaching schedule. Utilizing web -based technology for easy and flexible data access. Helps schools compile subject schedules that suit their needs, reduce clashes, and increase the efficiency of automatic schedule creation Research Framework Method or strategy for planning and implementing research that focuses on collecting and analyzing quantitative data. This framework is intended to regulate the procedures required in research and provide an overview of the detailed steps that will be part of the research. A genetic algorithm is an algorithm that uses an understanding of natural evolution to solve problems. By using natural selection theory, genetic algorithms can optimize scheduling system uses a genetic algorithm cycle flow diagram, which includes initial population generation, fitness, level assessment, selected individuals, cross-over, mutation, and regeneration.
Penerapan Algoritma Binary Search Pencarian Data Pada Sistem Supply Barang Aida Fitriyani; Andy Achmad H; Dewi Lestari; Nora Fitriawati
JSI (Jurnal Sistem Informasi) Universitas Suryadarma Vol. 13 No. 1 (2026): JSI (Jurnal sistem Informasi) Universitas Suryadarma
Publisher : Fakultas Ilmu Komputer dan Desain - Unsurya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jsi.v13i1.1743

Abstract

Penelitian ini bertujuan merancang sistem informasi persediaan barang berbasis web dengan integrasi algoritma binary search untuk meningkatkan efisiensi pencarian data. Pengembangan sistem mengikuti model waterfall, meliputi tahap analisis kebutuhan, desain, implementasi, pengujian, hingga pemeliharaan. Aplikasi dibangun menggunakan PHP Native serta MySQL sebagai basis data. Berdasarkan pengujian, sistem ini mampu mengurangi kesalahan pencatatan dan mempercepat proses pencarian data, dengan rata-rata waktu pencarian hanya 0,0065 ms pada total 77 data. Penerapan algoritma binary search dinilai tepat karena kompleksitas waktunya O (log n), sehingga tetap efisien meski jumlah data meningkat. Kesimpulannya, sistem informasi ini efektif dalam meningkatkan akurasi dan efisiensi pengelolaan persediaan barang di perusahaan.
Co-Authors Andy Achmad H Andy Achmad Hendharsetiawan Dewi Lestari Hendarman Lubis Johanes Andi Lawrence Hutahaean Nora Fitriawati