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All Journal Sainstek CAUCHY: Jurnal Matematika Murni dan Aplikasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Matematika: MANTIK Dinamisia: Jurnal Pengabdian Kepada Masyarakat Teorema: Teori dan Riset Matematika Jambura Journal of Mathematics Jurnal Matematika UNAND Transformasi : Jurnal Pendidikan Matematika dan Matematika Vygotsky: Jurnal Pendidikan Matematika dan Matematika Jurnal Bakti Masyarakat Indonesia Jambura Journal of Mathematics Education Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi JES-MAT (Jurnal Edukasi dan Sains Matematika) Unnes Journal of Mathematics Innovative: Journal Of Social Science Research Jurnal Matematika Integratif
Nurwan Nurwan
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Public Health Social Sciences Transportation Other

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Algoritma Genetika Untuk Penjadwalan Karyawan Ira Stationary Kurniasari Abram; Novianita Achmad; Muhammad Rezky Friesta Payu; Nurwan Nurwan; Djihad Wungguli; Asriadi Asriadi
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi EULER: Volume 11 Issue 1 June 2023
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/euler.v11i1.17364

Abstract

Employee scheduling is an activity plan for time sharing that contains a schedule for carrying out planned activities in the form of a table. This study aims to create an employee schedule model using a Genetic Algorithm, which is a heuristic method inspired by the process of natural selection, the strong will survive and reproduce, the stages of the Genetic Algorithm are population initialization, fitness value, selection, crossover, and mutation. The study results show an optimal model consisting of at most two shifts with a maximum of two holidays a week and not consecutively.
ANALISIS PERPINDAHAN PENGGUNAAN APLIKASI TRANSPORTASI ONLINE MENGGUNAKAN RANTAI MARKOV Salmun K. Nasib; Nurwan Nurwan; I Wayan Can Aryasandi; Isran K. Hasan; Asriadi Asriadi
Jurnal Matematika UNAND Vol 13, No 1 (2024)
Publisher : Departemen Matematika dan Sains Data FMIPA Universitas Andalas Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jmua.13.1.26-40.2024

Abstract

The purpose of this study is to find out the opportunities for switching to the use of online transportation applications and predict the future use of online transportation applications by Gorontalo State University students using the Markov chain. The data used in this study are primary data obtained through questionnaires. The results of the prediction of the proportion for future market share show that the proportion of users of the Maxim transportation application is 82.89%, Grab is 7.75%, Gojek is 5.06% and InDriver is 4.48%.
Co-Authors Abdul Djabar Mohidin Agusyarif Rezka Nuha Arya Aurellio Yusuf Asriadi Dewi Rahmawaty Isa Djihad Wungguli Frendy Dermawan Silalahi Ghivahri Sidik Mokoagow I Wayan Can Aryasandi Isran K Hasan Jufrin Jufrin Karina Anselia Mamonto Kurniasari Abram La Ode Nashar Lailany Yahya Lindrawati Abdjul Mahmud, Sri Lestari Majid Majid Moh Dody Afandi Rauf Muhammad Rezky F. Payu NISKY IMANSYAH YAHYA Novianita Achmad Nur Falaq Nursiya Bito Perry Zakaria Pranata, Widya Eka Rafika Pomalingo Rahmi, Emli Resmawan Resmawan Reza Mokodompit SALAMAH, ANI Salmun K. Nasib Siti Zakiah Siti Zakiyah Sumarno Ismail Sutriany Nteseo Taha, Dennynatalis Taki, Febriani Verawati Tarsan Kadir