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All Journal Sistemasi: Jurnal Sistem Informasi E-JURNAL JUSITI : Jurnal Sistem Informasi dan Teknologi Informasi Jurnal Informasi dan Teknologi Jurnal Informatika Ekonomi Bisnis Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Majalah Ilmiah UPI YPTK Journal Of Human And Education (JAHE) Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence Jurnal Komtekinfo Internet of Things and Artificial Intelligence Journal Journal of Vocational Education and Information Technology (JVEIT) J-Icon : Jurnal Komputer dan Informatika Jurnal Informatika Ekonomi Bisnis Marsipature Hutanabe: Jurnal Pengabdian Kepada Masyarakat Teknologi : Jurnal Ilmiah Sistem Informasi
Aldo Eko Syaputra
Universitas Adzkia
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Social Sciences Other

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Journal : Teknologi : Jurnal Ilmiah Sistem Informasi

 1 
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 Adawia, Rahmiza Ainil Mardiah Alima Shofia Ardi, Abdullah Aufar, Yazid Budiarti Rahayu Putri, Perra Budy Satria Dari, Rahmatia Wulan Fajar Maulana Hariani Manurung, Kiki Hasanah Nasta, Nurul Hayati , Nova Hayati, Nova Hendra, Yomei Husnatun Hasanah, Tria Kiki Hariani Manurung Manurung, Kiki Hariani Maulana, Fajar Mufid, Muhammad Fauzan Muhammad Fauzan Mufid MUHAMMAD THORIQ Muhammad Thoriq Nurul Hasanah Prima, Wahyu Rahmadhani, Firda Rahman, Zumardi SAKINAH, PUTRI Sapriadi, Sopi Saputra, Memed Sopi Sapriadi Thoriq, Muhammad Yesri Elva Yofhanda Septi Eirlangga Yomei Hendra