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Aplikasi Pengolahan Data Spbu ( Stasiun Pengisian Bahan Bakar Umum ) Pt. Sinar Mustika Bintan Km 19 Bintan Timur ELVIANNA; Nurul Saepul; Doni Kristianto
Jurnal Bangkit Indonesia Vol 8 No 1 (2019): Bulan Maret 2019
Publisher : LPPM Sekolah Tinggi Teknologi Indonesia Tanjung Pinang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (647.592 KB) | DOI: 10.52771/bangkitindonesia.v8i1.157

Abstract

This thesis report is prepared based on the results of the analysis of the ongoing data collection system as well as the results of designing a new system at PT. SINAR MUSTIKA BINTAN SPBU Km 19 East Bintan. The results of the analysis show that manual data processing causes several problems so that the system performance becomes less efficient. To fix the deficiencies that exist in the system that is being implemented, a new system is designed to increase work efficiency. The data processing application developed can help solve problems that have existed before. This application was built using Borland Delphi 7.0. With this new system and application, it is hoped that the work process will be more efficient and can be improved.
Sistem Informasi Persediaan Obat dengan Metode Naïve Bayes Pada RSUD Tanjungpinang Isron Al Miraz Siregar; Elvianna; Nurul Saepul
Jurnal Bangkit Indonesia Vol 7 No 1 (2018): Bulan Maret 2018
Publisher : LPPM Sekolah Tinggi Teknologi Indonesia Tanjung Pinang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (669.158 KB) | DOI: 10.52771/bangkitindonesia.v7i1.168

Abstract

The integrated data processing system at the Tanjungpinang Hospital Pharmacy cannot predict the stock of drugs. Drug data prediction system is based on drug sales and drug sales rates. The reason for using the naïve Bayes method is because this method makes it easy to calculate and determine the possibilities that occur at the Tanjungpinang Hospital pharmacy and can help the pharmacy in making decisions to make drug purchase transactions. The development of information systems in making software uses the Waterfall method. The development application uses netbeans 7.3.1 and MySQL as the database. The program was tested using the Black Box method. With this application, it can help the pharmacy to collect drug data quickly and accurately and can help predict drug data using the naïve Bayes method to make decisions in making drug purchases. And can make a report which will be submitted to the owner.