Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Fortech : Journal of Information Technology

SISTEM INFORMASI PENGOLAHAN DATA ASPROV PSSI PROVINSI JAMBI: Asprov PSSI, Data Processing, Football, Information System, Information Technology, Waterfall Method Adriana, Windy; Astuti, Reny Wahyuning; Ramadhan, Fajar; Windy Adriana
FORTECH (Journal of Information Technology) Vol 9 No 1 (2025): Fortech (Journal Of Information Technology)
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/fortech.v9i1.1523

Abstract

The rapid development of information technology and computers has influenced various aspects of life, including sports. In the context of football, data management is a crucial element in enhancing athlete performance and operational efficiency. The Provincial Association (Asprov) of PSSIJambi Province is currently facing challenges in managing data manually, often leading to errors and information loss. To address this issue, this research aims to design and develop a web-based "Data Management Information System for Asprov PSSI Jambi Province." The system is designed to efficiently process data related to athletes, referees, clubs, Football Schools (SSB), and matches using PHP, CSS, HTML, and MySQL database technology. The research methodology used is a qualitative approach with the waterfall model, encompassing stages of analysis, design, testing, implementation, and system maintenance. This application is expected to improve the speed and accuracy of data processing and reduce errors in data management.
PENERAPAN DATA MINING DALAM MENGETAHUI POLA TRANSAKSI PEMBELIAN OBAT MENGGUNAKAN ALGORITMA APRIORI PADA APOTEK BINTANG FARMA KOTA JAMBI: Apriori Algorithm, Pharmacy, Medications, Patterns, RapidMiner, Transaction Astuti, Reny Wahyuning; Budiarti, Rike Limia; Agustina, Maya
FORTECH (Journal of Information Technology) Vol 9 No 2 (2025): Fortech (Journal Of Information Technology)
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/2cvbfq98

Abstract

Pharmacies are one of the places that distribute pharmaceutical supplies to the public. With fierce competition in the business world, especially in the pharmacy industry, pharmacies need to find the right strategy to improve their business progress. One way to overcome this is by maintaining the availability of various types of medicines needed by consumers. This study was conducted to predict medication purchasing transaction patterns at Bintang Farma Pharmacy in Jambi City using the Apriori Algorithm. The Apriori Algorithm was chosen because of its ability to identify associations or relationships between items in transaction datasets. This provides a more accurate picture of medication purchase transaction patterns. The data used includes medication purchase transaction data from January to May 2025, which was analyzed using manual calculations and assisted by RapidMiner software. The results of this study indicate that the Apriori algorithm is capable of determining medication purchase transaction patterns with an acceptable error rate, making it a reliable reference for maintaining medication availability and improving pharmacy services.