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All Journal International Journal of Electrical and Computer Engineering CogITo Smart Journal Jurnal SOLMA ILKOM Jurnal Ilmiah JURNAL PENDIDIKAN TAMBUSAI JURIKOM (Jurnal Riset Komputer) Building of Informatics, Technology and Science E-JURNAL JUSITI : Jurnal Sistem Informasi dan Teknologi Informasi Community Development Journal: Jurnal Pengabdian Masyarakat Journal of Computer Networks, Architecture and High Performance Computing Jurnal Pengabdian kepada Masyarakat Nusantara Rambideun : Jurnal Pengabdian Kepada Masyarakat Brilliance: Research of Artificial Intelligence Buletin Sistem Informasi dan Teknologi Islam Digital Transformation Technology (Digitech) CSRID
Suryani Suryani
Universitas Dipa Makassar
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Health Professions Library & Information Science Mathematics Public Health Social Sciences Other

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Journal : building of informatics technology and science

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Side Dish Store Recommendation System Utilizes A Collaborative Filtering Methodology Suryani, Suryani; W Soetikno, Y Johny; Octavianus, Michael; Faizal, Faizal; Hasriani, Hasriani; Nurdiansah, Nurdiansah; Bahtiar, Akbar
Building of Informatics, Technology and Science (BITS) Vol 6 No 1 (2024): June 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i1.5229

Abstract

Side Dish Stores serve as traditional venues for buying and selling a diverse array of products, including fish, foodstuffs, beverages, kitchen spices, clothing, souvenirs, and more. In their pursuit of maximizing profits, traders use competitive strategies, such as online marketing, to expand their sales channels and promote products digitally. This research aims to generate recommendations for selling fish, and traditional supermarkets through a collaborative filtering method. The criteria used to generate recommendations for shops or fish sellers among 25 alternatives include product type, availability, service quality, shop cleanliness, product quality, and sales volume. The research results indicate that the highest predicted value is 0.70, where user 16 exhibits the highest similarity with user 14. Consequently, TSF 1= 4.17, TSF 5= 3.5, TSF 9= 3.33, TSF 13= 3.83, and TSF 15= 4.5. When ranked, TSF 15 will be the first recommendation for user 16, followed by TSF 1, TSF 13, TSF 5, and TSF 9. This recommendation system facilitates consumers in determining the appropriate shop or fish seller to visit when shopping at the Side Dish Store. Traders can easily market products to enhance sales. Moreover, the system streamlines buying and selling transactions for traders and consumers without the necessity of direct visits to the Side Dish Store
Co-Authors Abdul Ibrahim Ahyuna Ahyuna Ahyuna Ahyuna Ahyuna Akbar Bahtiar Akbar Bahtiar Andi Asvin Mahersatillah Suradi Andrew Ridow Johanis Andrew Ridow Johanis M Annah Annah, Annah Arham Arifin Arkjun Yudistira Pratama Arwansyah Arwansyah Arwansyah Arwansyah Arwansyah Asmah Akhriana Asrul Syam Asrul Syam Atnasius Alan Pabembe Baharuddin Baharuddin Bahtiar, Akbar Budy Santoso Cucut Susanto Djafar, Imran Erfan Hasmin Erni Marlina Faizal Faizal Faizal Faizal Faizal Faizal Faizal Faizal, Faizal Fatmasari Fatmasari Fitriani Fitriani Fransiska Sagita Patulak Hardi Hardi Hardi Hardi Hardi Hardi Haris, Adammas Harlina, Sitti Hasriani Hasriani Hasriani Hasriani Hasriani Hasriani, Hasriani Hasyrif Hasyrif Hasyrif SY Herlinda Herlinda Herman Heriadi Herman Heriadi Husain Husain Indo Intan Iqbal Gunawan Joseph Tumiwa Jufri . Madyana Patasik Magfirah Magfirah Marsa Marsa Michael Octavianus Michael Oktavianus Moch. Farhan Juliansyach Putra Taufiq Mochammad Agus Idris Mochtar Yunus, Farhan Moh. Rifkan Muh. Khaddafi Muh. Syahlan Natsir Muhammad Agus Muljanto Muhammad Rizal Nirwana Nirwana Novita Sambo Layuk Nurdiansah Nurdiansah, Nurdiansah Nurlina Nurlina Nurlindasari Tamsir Nurul Aini Rahmat Rahmat Rahmat Rahmat Rauf, Abdul Riki Taruk Bua Sadly Samsuddin Sadly Syamsudddin Sadly Syamsuddin Sadly Syamsuddin Sadly Syamsuddin Salmiati Salmiati Saprial Metthew Godliving Perdamaian Ani Sitti Aisa Sitti Aisa Sri Wahyuni ST. Aminah Dinayati Ghani Suci Rahma Dani Rachman Suci Ramadhani Arifin Suryani Suryani Syamsul Bahri Thabrani R Thabrani. R Thabrani. R Usman Usman Wilem Musu Willem Musu Yesycha Arun Mangopo Yohannes Johny Soetikno