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Journal : Journal of Informatics and Information Security

Perancangan Sistem Informasi Geografis Sekolah Luar Biasa Dengan Metode Extreme Programming Dendra Pratama Aditian Erlangga; Dian Hartanti; Hendarman Lubis
Journal of Informatic and Information Security Vol. 3 No. 1 (2022): Juni 2022
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/6zs9ss97

Abstract

Bekasi City is one of the regions located in West Java Province and has a diverse and quality education. However, there are still many Bekasi people who still experience difficulties when they want to find a school location for children with special needs in the Bekasi City area. The purpose of this study is to build a geographic information system in order to make it easier for the peopleof Bekasi to find the location of the Extraordinary School which is in the Bekasi city area. The creation of this website uses the PHP programming language (PHP: Hypertext Preprocessor) with the Codeigniter Framework, XAMPP, and Visual Study Code as text editors. With the method of Developing Extreme Programming systems. The results of this study can be implemented in theform of a website-based geographic information system.
Implementasi Algortima Apriori dalam Sistem Informasi Penjualan Berbasis Web pada CV. Pahala Lima Waktu Shatria Darma Putra Kustiana; Hendarman Lubis; Asep Ramdhani Mahbub
Journal of Informatic and Information Security Vol. 6 No. 1 (2025): Juni 2025
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/jv8kg485

Abstract

The printing industry plays an important role in supporting promotional activities, communication, and various other business needs. However, at CV. Pahala Lima Waktu, the sales transaction recording process i s still performed manually using physical notes, leading to issues such as delayed data retrieval, input errors, and the absence of customer purchasing pattern analysis. To address these problems, this study designs a web-based sales information system equipped with data analysis features using the Apriori algorithm. This algorithm is one of the widely used Data Mining   techniques to discover associations between products through the calculation of support and confidence values. The system was developed using the Waterfall method, wi th PHP Native as the backend and MySQL as the database. The implementation results show that the system can digitize transaction processes, generate product association rules, and provide bundling recommendations that can be used as a company promotion strategy. With this integration, the system also functions as a Decision Support System (DSS) to assist staff in making promotion decisions based on historical sales data analysis.