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All Journal Jurnal Teknologi Dan Sistem Informasi Bisnis
Kristianus Jago Tute
Sistem Informasi, Sains dan Teknologi, Universitas Flores

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Sistem Informasi E_Commerce UMKM Bolu Pisang Ine Pare Hanbai Kanbai Berbasis Web: English Clarita Ilona Seran; Kristianus Jago Tute; Benediktus Yoseph Bhae
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol. 8 No. 4 (2026): Oktober 2026
Publisher :  Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v8i4.292

Abstract

UMKM Bolu Pisang Ine Pare Hanbai Kanbai is a small culinary enterprise that produces and sells banana cakes as one of the region’s typical souvenir products. In its daily operations, marketing activities and the recording of sales transactions are still handled manually, which reduces efficiency and increases the possibility of errors in managing data. Furthermore, customers must visit the business location in person to place their orders, making the purchasing process less convenient. This research aims to design and develop an e-commerce–based sales information system that can support product promotion, manage transaction data, and provide easier access for customers to place orders. The research methods applied in this study include observation and literature review to obtain the necessary data and information. The system is developed using the PHP programming language with MySQL as the database and is modeled using tools such as Data Flow Diagram (DFD) and Entity Relationship Diagram (ERD). The result of this study is an e-commerce–based sales information system that helps improve the efficiency of transaction management, enhances the quality of customer service, and simplifies the process of ordering and making online payments. The implementation of this system is expected to improve business management efficiency and support the growth of UMKM Bolu Pisang Ine Pare Hanbai Kanbai.
Penerapan Algoritma Apriori Pada Sistem E-Commerce Untuk Rekomendasi Menu Paket (Studi Kasus : Rumah Makan Padang Roda Baru Ende) Yuliana Dhengo Keta; Kristianus Jago Tute; Elvira Esperansa Sala
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol. 8 No. 4 (2026): Oktober 2026
Publisher :  Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v8i4.356

Abstract

The development of information technology provides opportunities for culinary businesses to improve service efficiency and expand their marketing reach through digital-based systems. Rumah Makan Padang Roda Baru Ende still faces challenges in the ordering and transaction recording processes, which are carried out conventionally. In addition, the available transaction data has not been optimally utilized to identify customer purchasing patterns, resulting in menu package arrangements that are still carried out manually and difficulties for customers in determining suitable menu combinations. This study aims to implement the Apriori Algorithm in an e-commerce system as a menu package recommendation system at Rumah Makan Padang Roda Baru Ende. The research method used is Research and Development (R&D), while the system development uses the Waterfall method, which consists of analysis, design, coding, testing, and maintenance stages. Data were collected through observation, interviews, literature studies, and documentation. The Apriori Algorithm is used to analyze customer transaction data through frequent itemset generation, support and confidence calculations, and association rule generation to produce recommendations for menu combinations that are frequently purchased together. The developed system provides features for menu management, ordering, transactions, transaction data processing using the Apriori Algorithm, menu package recommendations, and reporting. System testing is conducted using the Black Box Testing method to ensure that each system function operates according to the requirements.
Co-Authors Benediktus Yoseph Bhae Clarita Ilona Seran Elvira Esperansa Sala Yuliana Dhengo Keta