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All Journal Jurnal Manajemen Bisnis PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnas Nasional Teknologi dan Sistem Informasi Jurnal ULTIMA InfoSys JURNAL PENDIDIKAN TAMBUSAI Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Jurnal Manajemen Informatika Jayakarta Journal of Students‘ Research in Computer Science (JSRCS) Brilliance: Research of Artificial Intelligence Jurnal Pendidikan Vokasi Raflesia Jurnal Desain Komunikasi Visual Nirmana Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) International Journal of Information Technology and Computer Science Applications (IJITCSA) Jurnal Guru Komputer Jurnal PETISI (Pendidikan Teknologi Informasi) Orbit : Jurnal Ilmu Multidisiplin Nusantara
Rasim, Rasim
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Arts Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Social Sciences Other

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Journal : Journal of Students‘ Research in Computer Science (JSRCS)

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Algoritma Apriori Untuk Pola Penjualan Pada Kedai Kopi Studi Kasus: Kedai Kopioko Juliano, Aryo; Rasim, Rasim; Sugiyatno, Sugiyatno
Journal of Students‘ Research in Computer Science Vol. 3 No. 1 (2022): Mei 2022
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/02t5ze63

Abstract

Effective promotion can increase sales figures. One way is to identify market conditions, namely about consumer purchasing tastes, which can be observed through consumer purchase transaction data. In recent years, transaction data has been widely used as research material, which aims to build some new information related to sales patterns to help manage future business development. In this study, the a priori algorithm method was used to determine sales patterns. The results obtained from the experiments carried out that the application of data mining using yahoo a priori with the association rule method can run well and produce two association rules, by changing the minimum support and confidence parameters. After the experiment using the apriori algorithm, it was found that the combination of menu items that can be made for sales patterns or the development process uses the racist Kopioko package menu, potatoes with a value of 60.34%, and racist Kopioko, Agung with a value of 54.88
Co-Authors ACHMAD FAUZI Anisyah, Ani Baszliah Nursabrina Bayu Wicaksono Dwipa Handayani Eka Fitrajaya Rahman Enjang Ali Nurdin Erlangga Erlangga Fajar Ramadhan Fauzi, Indah Resti Fazira, Ira Ghaitsa Zahira Shaffa Hambali, Yudi Ahmad Isya, Nadhief Athallah Judie, Rizky Rachman Juliano, Aryo Julianti, Sukma Junaeti, Enjun Khaairi, Mochamad Lavianti, Desi Lubis, Hendarman Mahphoth, Mohd Halim bin Muhamad Firdaus Munir Munir, Munir Nailah Nurul Qalbina Natasya Regita Gandawidjaya Nursalman, Muhammad Nusratullo, Samialloi Piantari, Erna Prima Dina Atika Puspo Dewi Dirgantari Putro, Budi Laksono Rawinto, Irsyad Rosa, Elisa Rozi, Muhammad Fahru Sari, Fitra Bona Shafarin, Anti Nuraulia Siregar, Herbert SITI SETIAWATI Sofyan, Muhammad Hilmy Rasyad Sugiyatno Sugiyatno Sumitra, Desfasa Ilham Ully, Rona Wawan Setiawan Wihardi, Yaya Wijati, Damar Zulkifli, Akmal