Article Per Year (5 Year)
p-Index From 2021 - 2026
1.607
P-Index
This Author published in this journals
All Journal TeknoIS : Jurnal Ilmiah Teknologi Informasi dan Sains Jurnal Informasi dan Teknologi Jurnal Informatika Ekonomi Bisnis Jurnal Teknik Informatika (JUTIF) Jurnal Komtekinfo Jurnal Informatika Ekonomi Bisnis Journal of Hypermedia & Technology-Enhanced Learning Jurnal Pengabdian Masyarakat Bangsa Teknologi : Jurnal Ilmiah Sistem Informasi
Dari, Rahmatia Wulan
Information System Department, Computer Science Faculty, Putra Indonesia University YPTK Padang, Indonesia
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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

Found 11 Documents
Search

 1   2 
Penerapan Metode Weigthed Product (WP) dalam Sistem Pendukung Keputusan Pemilihan Benih Ikan Nila Terbaik Dari, Rahmatia Wulan; Yesri Elva; Sapriadi, Sopi; Prima, Wahyu; Eko Syaputra, Aldo
TEKNOLOGI: Jurnal Ilmiah Sistem Informasi Vol 15 No 1 (2025): January
Publisher : Universitas Pesantren Tinggi Darul 'Ulum (Unipdu) Jombang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/teknologi.v15i1.5339

Abstract

This study aims to understand the selection of the best quality Nile tilapia seeds using a Decision Support System (DSS) with the Weighted Product (WP) method at Tambak Nagari. The research employed two approaches: manual calculations and a system based on Visual Basic.NET. The results showed that the Visual Basic.NET-based system significantly facilitates decision-making, accelerates the process, and minimizes human error compared to manual methods. This system enables users to easily identify the best Nile tilapia seeds based on criteria such as growth rate, disease resistance, and feed efficiency. However, the system requires regular updates to enhance its reliability and flexibility, particularly in handling large-scale data and adding new criteria. The integration of this technology makes the seed selection process more efficient and objective, supporting the sustainability of Nila Fish farming and marking an important step toward digital transformation in the fisheries sector.
Co-Authors Aldo Eko Syaputra Alinda Rahmi, Nadya Elva, Yesri Ilmawati Ilmawati Masril, Mardhiiah Nadya Alinda Rahmi Pradani Ayu Widya Purnama Prima, Wahyu Sapriadi, Sopi Sopi Sapriadi Syaputra, Aldo Eka Yesri Elva Yunus, Yuhandri