Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Jurnal Sains Informatika Terapan (JSIT)
Gugun, Gunawan
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Penerapan Data Mining Untuk Memprediksi Harga Udang Vaname Di Pasar Lokal Menggunakan Algoritma Decision Tree Gugun, Gunawan
Jurnal Sains Informatika Terapan Vol. 4 No. 3 (2025): Jurnal Sains Informatika Terapan (Oktober, 2025)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v4i3.800

Abstract

This research aims to predict the price of vaname shrimp in the local market of Padang City using the Decision Tree algorithm. The data used includes historical records of shrimp prices from 2024 to 2025, along with supporting variables such as production volume, feed prices, weather conditions, pond type, and market conditions. The research methodology includes data collection, preprocessing, algorithm implementation, model evaluation, and system development. The results show that the Decision Tree model can predict shrimp prices with an accuracy of 88.89%. The most influential factors in determining prices are weather conditions and feed prices. A web-based prediction system was also developed using PHP and MySQL to facilitate users in accessing price predictions interactively. This research is expected to assist farmers and traders in making better business decisions, optimize inventory management, and improve the efficiency of the vaname shrimp supply chain in the local market.
Co-Authors