Article Per Year (5 Year)
p-Index From 2021 - 2026
1.554
P-Index
This Author published in this journals
All Journal Elkom: Jurnal Elektronika dan Komputer STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Journal of Information System, Applied, Management, Accounting and Research Jurnal Pendidikan dan Konseling Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal PkM (Pengabdian kepada Masyarakat) Aptekmas : Jurnal Pengabdian Kepada Masyarakat Jurnal Rekayasa Komputasi Terapan Jurnal Sains Student Research
Siti Julaeha
Universitas Indraprasta PGRI
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 11 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 11 Documents
Search

 1   2 
Penerapan Algoritma Genetika untuk Memprediksi Penjadwalan Jasa Pasang Pada PT. Reka Graha Semesta Aida Septiani Aida; Nilma; Siti Julaeha
JOURNAL SAINS STUDENT RESEARCH Vol. 1 No. 1 (2023): Oktober: Jurnal Sains Student Research
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jssr.v1i1.200

Abstract

The installation service scheduling stage is the most important stage in ensuring the company's operational efficiency, especially in the service industry which involves the repair or installation of various products or services. In addition, scheduling installation services is a complex challenge, this is because it involves the allocation of resources, time and priorities to complete various installations and avoid conflicts. To overcome the complexity of scheduling problems, genetic algorithms have become an attractive and effective approach, because they can solve multi-criteria and multi-objective problems to solve problems that are modeled by biological and evolutionary processes. The genetic algorithm represents the candidate scheduling solution into a chromosome at random and will be evaluated using the fitness function, after which selection is carried out, then crossing over or mutation is carried out. Then in each generation the chromosomes are evaluated based on the value of the fitness function, so the genetic algorithm will produce the best chromosome or is an optimal solution approach. System implementation in this study uses web-based applications to make it easier to use because there is no installation process from the user's side, and the programming language used is Hypertext Preprocessing (PHP), and MySQL as a database that makes it easier to store data that is safe and easy to access.
Co-Authors Aida Septiani Aida Aulia Ar Rakhman Awaludin Avini Nurazhimah Arfa Caka Gatot Priambodo Dona Katarina Heri Satria Iim Marfu'ah KUSTIAN, NUNU Makiyah Inaya Nilma Novi Aprian Nunu Kustian Nunu Kustian Reko Syarief Hidayatullah Rizki Ridwan somawati somawati Syamsiah