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All Journal CESS (Journal of Computer Engineering, System and Science) KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Jurnal Kesehatan Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Jurnal of Applied Multimedia and Networking Journal of Nursing and Public Health (JNPH) Mitra Raflesia (Journal of Health Science) Khidmatul Ummah: Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Journal of Community Service Jurnal Masyarakat Madani Indonesia Jurnal Teknologi Lingkungan Aspirasi : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat Infomans: Jurnal Ilmu-ilmu Informatika dan Manajemen Jurnal Bengawan Solo: Pusat Kajian Penelitian dan Pengembangan Daerah Kota Surakarta Jurnal Pengabdian Mitra Persada JITEEHA: Journal of Information Technology Applications in Education, Economy, Health and Agriculture
Agung Riyadi
Politeknik Negeri Batam
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Supply Chain Optimization in the Retail Industry by Integrating Apriori Algorithms and Time Series Forecasting in Business Intelligence Putra, Gusty Nanda Kharisma; Silviana, Silviana; Riyadi, Agung; Praseptiawan, Mugi
Journal of Information Technology application in Education, Economy, Health and Agriculture Vol. 3 No. 1 (2026): Vol. 3 No. 1 (2026): February
Publisher : Lumina Infinity Academy Foundation

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Abstract

This study investigates the integration of the Apriori algorithm and time series forecasting within a Business Intelligence (BI) framework to optimize supply chain operations in the retail industry. The Apriori algorithm was utilized to identify significant purchasing patterns, enabling strategic decisions such as product bundling and cross-selling. Concurrently, time series forecasting, with an ARIMA model achieving a mean absolute percentage error (MAPE) of 8%, provided accurate demand predictions, supporting improved inventory management and resource allocation. The integration of these methods into a BI dashboard facilitated real-time monitoring and data-driven decisionmaking, leading to enhanced operational efficiency and reduced costs. While challenges such as data quality, computational resource demands, and user adaptability were observed, this research underscores the transformative potential of analytics in retail supply chain management. Future advancements in machine learning and IoT integration are recommended to further enhance system performance. Overall, this study demonstrates a pathway for retailers to achieve operational excellence and superior customer satisfaction through data-driven strategies.
Hybrid Clustering with Deep Learning in E-commerce for Customer Segmentation: A Data-Driven Approach for Business Strategy Optimization Sidharta, Robertus; Riyadi, Agung; Hanfiro, Pauline; Handini, Mia
Journal of Information Technology application in Education, Economy, Health and Agriculture Vol. 3 No. 1 (2026): Vol. 3 No. 1 (2026): February
Publisher : Lumina Infinity Academy Foundation

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Abstract

Customer segmentation is a strategic approach to understanding customer needs and preferences, especially in the dynamic e-commerce industry. Traditional clustering methods, such as k-means, are often used for this task, but have limitations in handling complex and high-dimensional data. In this research, we use a hybrid clustering approach that integrates deep learning for feature extraction with traditional clustering algorithms for customer segmentation. Uses Mall Customers Dataset from Kaggle, which includes customer demographic and shopping behavior data. Experimental results show that this approach is able to produce more accurate and meaningful segmentation. The visualization of the results shows significant patterns that can be used to develop more personalized and effective marketing strategies.
Co-Authors Afdhol Dzikri Agus Dwi Santosa Ahmadi Irmansyah Lubis Al Muhandis, Muhammad Ayasy Anindea Pramilaning Tyas Aragani Timur Kanistren Arief Rachman Arif Roziqin Atalarik Ramli Bayu Harjono Bintang Budhiman Bisma Khairunnas Budi Winarno Cahya Miranto Cecep Maulana Hidayat Cherina Ayu condra antoni Destriani Kaban Dian Nurdiansyah Dicki Prayogi Diswandi Dodi Prima Resda Dwi Ely Kurniawan Fadiella Azhaara Ramadhanti Fadilla Rusymaidad, Balqis Nabel Fadli Suandi Faisal Hamzah Faishal Setiawan Farouki Dinda Rassarandi Garno, Yudhi Soetrisno Gunarto Gunarto Gunawan Adi Pratio Handini, Mia Hanfiro, Pauline Happy Yugo Prasetiya Hariadi, Efrizon Haryanti Hermansyah Hermansyah Hilman Ahyadi Ibnu Hiban Ihsan, Iif Miftahul ISKANDAR James James James James Joko Prayitno Susanto Kerobaganet Kerobaganet Kevin Timoteus Sirait Kheli Fitria Annuril Lois Yulianto Luthfiya Ratna Sari Makosim, Syahril Mardiani Mardiani Megawati, Novi Meirinawati, Hanny Metta Santiputri Miranda Valen Mu'minin, Amirul Muhamad Sahrul Nizan Muhami Muhammad Luthfi Muhammad Nashrullah Muhammad Zainuddin Lubis Mu’minin, Amirul Nehru Nugroho Noper Ardi Nur Cahyono Kushardianto Nur Zahrati Janah Nurul Fitriya Octavainto, Ervian Oktavianto Gustin Paramitha, Putri Pardosi, Pardosi PERTIWI, NADIA INDAH Praseptiawan, Mugi Prasetia, Retno Prastowo, Sugik Purnamasari, Dwi Amalia Putra, Gusty Nanda Kharisma R. Dwi Budiningsari Rahman Ramadhan, Gilang Bagus Ramadhani, Marina Ratu Siti Aliah Riardi Pratista Dewa, Riardi Pratista Ridho Hafiedz Rini Amadia Riwinoto, Riwinoto Rizki Irianto Rizki Widi Pratama Rizwan Bin Khamis Rohmah, Wirda Rokhayati, Yeni Romadhona, Ekky Ilham Ryan Binsar Pasaribu Sachoemar, Suhendar Indrakusmaya Sandi Prasetyaningsih Setiarti Sukotjo Shinta Leonita Sidharta, Robertus Silviana Silviana Siskha Handayani, Siskha Siti Noor Chayati Sudra Irawan Sultan Ilyas Arsalillah Yuswan Syah Supardianto Supardianto Susilowati Susilowati Suwarno Suwarno Swono Sibagariang Teguh Prayogo Wenang Anurogo Widia Lestari Wirabuana Sakti Wiyono, P Wu, Steven Yuliadi Zamroni