Arief Rusman
Universitas Bina Sarana Informatika

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SISTEM PENDUKUNG KEPUTUSAN PENENTUAN RASA GELATO BEST SELLER MENGGUNAKAN METODE ALGORITMA APRIORI PADA CAFE LOUKOUMANNA : Penelitian Menggunakan Metode Algoritma Apriori Aldo Alfiyanto; Azania Baruna; Nadira; Arief Rusman; Heny Sumarno
Didaktik : Jurnal Ilmiah PGSD STKIP Subang Vol. 12 No. 3 (2026): Volume 12 No. 3, September 2026 Produce
Publisher : STKIP Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36989/didaktik.v12i3.17119

Abstract

The increasing amount of sales transaction data at Cafe Loukoumanna has not been optimally utilized as a basis for decision making. Sales data is generally only used as an archive without further analysis to identify customer purchasing patterns. This study aims to implement the Apriori Algorithm in a web-based Decision Support System to determine the best-selling gelato flavors based on historical transaction data. The research method adopted the CRISP-DM framework consisting of Data Understanding, Data Preparation, Modeling, Evaluation, and Deployment. The association rule mining process was conducted using RapidMiner with a minimum support value of 0.10 and a minimum confidence value of 0.80. The generated association rules were then implemented into a web-based application developed using Laravel and MySQL. The results indicate that the Apriori Algorithm successfully identifies purchasing patterns based on customer age, purchase day, cup size, scoop quantity, and flavor combinations. The developed system assists Cafe Loukoumanna in determining best-selling flavors and supports promotional and inventory management strategies based on transaction data.
ANALISIS KEPUASAN NASABAH TERHADAP DIGITAL SAVING PADA APLIKASI BRIMO MENGGUNAKAN METODE PIECES FRAMEWORK Yana Iqbal Maulana; Anshori Dwi Putra; Wiwiek Widyastuty; Arief Rusman; Jefi Jefi
Journal of Information System, Informatics and Computing Vol 10 No 1 (2026): JISICOM (June 2026)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisicom.v10i1.2455

Abstract

User satisfaction is a feeling that arises from comparing the performance of a service with the expectations held by its users. In the context of the BRImo application, user satisfaction can be assessed through the efficiency of opening a savings account digitally. However, mobile banking services still face several challenges, including connection disruptions and transaction failures caused by system errors, which may reduce customer trust. This study employs the PIECES Framework, consisting of six variables: Performance, Information and Data, Economics, Control and Security, Efficiency, and Service, to evaluate the system comprehensively and systematically. This method enables the identification of strengths and areas requiring improvement to ensure the system effectively meets user needs. The results indicate average scores of 4.7 for Performance, 4.411 for Information, 3.658 for Economics, 4.6 for Control and Security, 4.416 for Efficiency, and 4.272 for Service. Based on these findings, the level of user satisfaction with the BRImo application falls within the satisfied category, indicating that the application provides high-quality services and is capable of meeting or even exceeding user expectations in supporting digital banking activities.