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All Journal Jurnal Teknologi Informatika dan Komputer Jurnal Ekonomi, Manajemen, Akuntansi
Khofifah Fauzani
Unknown Affiliation
Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Social Sciences

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Analisis Komparatif Tingkat Pengetahuan Masyarakat terhadap Produk Perbankan Syariah dan Konvensional di Sidamanik Atika Sari Br Pa; Khofifah Fauzani; Chairina Chairina
EKOMA : Jurnal Ekonomi, Manajemen, Akuntansi Vol. 2 No. 1: Desember 2022
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/ekoma.v2i1.1193

Abstract

Baik bank konvensional maupun bank syariah sangat bergantung pada kepercayaan terbuka sebagai klien yang selalu dapat menagih atau menarik aset dari bank. karena mayoritas modal berasal dari dana masyarakat. Akibatnya, meningkatkan kepercayaan masyarakat terhadap bank sangat penting untuk pertumbuhannya. Adapun tujuan penelitian ini adalah 1) untuk mengetahui tingkat pengetahuanMasyarakat versus produk perbankan syariah, 2) untuk menentukan levelpengetahuan umum tentang standar produk perbankan (secara umum) dan3) Cari tahu perbedaan pengetahuan masyarakat tentang produkperbankan syariah dengan konvensional. Jenis penelitian yang di gunakan dalam penelitian ini adalah berbentuk kuesioner yang di berikan kepada masyarakat Di Sidamanik untuk mengetahui tingkat pengetahuan masyarakat terhadap perbankan syariah dengan konvensional. Metode yang kami gunakan dalam penelitian ini adalah metode kuantitatif.
Application of Data Mining to Analyze Sales Patterns of Merchandise in MSMEs in Sait Buttu Saribu Tourism Village Using the Apriori Algorithm Khofifah Fauzani; Ali Ikhwan
Jurnal Teknologi Informatika dan Komputer Vol. 12 No. 1 (2026): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v12i1.3291

Abstract

The development of information technology in the era of globalization has brought significant changes to various aspects of life, including business and trade activities. Information is a crucial component in supporting fast, precise, and accurate decision-making, both at the operational and strategic levels. This study aims to apply the Apriori algorithm to analyze the sales patterns of MSMEs in the Sait Buttu Saribu Tourism Village and to develop a web-based system that can support business decision-making. MSMEs play a vital role in the local economy, but sales data utilization is still suboptimal. Sales transaction data from 2023–2024 from 57 active MSMEs were used as the research object. The research method used is Research and Development (R&D) with the system development using the Waterfall method. The Apriori algorithm was applied to find association patterns between products based on support and confidence values. The results show that the Apriori algorithm is able to identify product combinations that are frequently purchased together so that they can be utilized for sales strategies such as product bundling, product arrangement, and inventory control. The developed system is expected to help MSMEs manage sales data more effectively and support data-driven decision-making. Therefore, this study applies the Apriori algorithm to analyze the sales patterns of MSME merchandise in Sait Buttu Saribu Tourism Village and builds a web-based system as a decision- making tool.
Co-Authors Ali Ikhwan Atika Sari Br Pa Chairina Chairina