ANALYSIS OF CUSTOMER BEHAVIOR USING THE APRIORI METHOD
DOI:
https://doi.org/10.31933/dijdbm.v2i4.883Keywords:
Apriori Algorithms, Customers, Data MiningAbstract
Data is a very valuable asset because it is able to provide accurate, easy and fast information. This study processes coffee shop business data in the city of Padang to determine how customers behave in choosing menus. From the results of data processing. Researchers processed the data using the a priori method. From the results of data processing at a support value of 15%, it is found that the majority of customers still buy menus in units.
References
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Siburian, B. R. (2014). Aplikasi Data Mining Untuk Menampilkan Tingkat Kelulusan Mahasiswa Dengan Algoritma Apriori. Pelita Informatika Budi Darma, 7(2), 56–61.
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Al-Maolegi, M., & Arkok, B. (2014). An improved Apriori algorithm for association rules. ArXiv Preprint ArXiv:1403.3948.
Azhari, A., & Anshori, A. (2015). Pendekatan Aturan Asosiasi Untuk Analisis Pergerakan Saham. Seminar Nasional Informatika (SEMNASIF), 1(5).
Binsar, J., Pangaribuan, M., & Ali, H. (2018). Influence Service Quality, Customer Relationship and Customer Satisfaction to Customer Loyalty: Case Study in Individual Customer PT. Prudential in 2016. Saudi Journal of Business and Management Studies (SJBMS. https://doi.org/10.21276/sjbms.2018.3.4.7
Joni Abdul Kasir. (2021). Kedai Kopi Milenial Menjamur di Padang, Gubernur Sumbar: Kontribusi Positif. Klikpositif.Com. https://www.ilovepdf.com/download/7kxdl0cfmz0hnrrn2h5ccyAqlyAc8jrjnrjbwm2ktv8hcwh7qbjtk95vcm18hnch38ys5236gd3qA5b03cjrkj0pvp95z6nbxnql7djm8fcAlvppzgshbxc7w3d6hc1fzxj0mzglgnnAAryc3q79ddAy0mz8mm4qmyn8qmvx0m27238wt4w1/49o
Hairiyah, S., & Ali, H. (2017). Customer Decision Analysis in Taking Multipurpose Loan?: Promotions , Locations and Credit Procedures ( A Case of the Bank " PQR Jakarta "). Saudi Journal of Business and Management Studies. https://doi.org/10.21276/sjbms.2017.2.3.6
Nofriansyah, D. (2014). Konsep Data Mining Vs Sistem Pendukung Keputusan - Dicky Nofriansyah, S.Kom., M.Kom. - Google Buku. In Deepublish.
Nofriansyah, D., & Defit, S. (2017). Multi Criteria Decision Making (MCDM) pada Sistem Pendukung Keputusan. Deepublish.
Septiano, R. (2020). ANALISIS PEYUSUNAN STRATEGI BISNIS PADA RAYHAN TOKO MUSLIM. Jurnal Ilmu Manajemen Terapan, 1(4), 401–415.
Septiano, R., & Sari, L. (2020). DETERMINATION OF CONSUMER LOYALTY THROUGH CUSTOMER SATISFACTION. Dinasti International Journal of Economics, Finance & Accounting, 1(5), 865–878.
Siburian, B. R. (2014). Aplikasi Data Mining Untuk Menampilkan Tingkat Kelulusan Mahasiswa Dengan Algoritma Apriori. Pelita Informatika Budi Darma, 7(2), 56–61.
Sugiyono. (2017). MetodePenelitian Kuantitatif, Kualitatif dan R&D. Bandung: PT Alfabet. In Sugiyono. (2017). MetodePenelitian Kuantitatif, Kualitatif dan R&D. Bandung: PT Alfabet. https://doi.org/10.1017/CBO9781107415324.004
Sugiyono, D. (2019). Statistika untuk Penelitian (Cetakan ke-30). In Bandung: CV ALFABETA.
Tampubolon, K., Saragih, H., Reza, B., Epicentrum, K., & Asosiasi, A. (2013). Implementasi Data Mining Algoritma Apriori pada sistem persediaan alat-alat kesehatan. Majalah Ilmiah Informasi Dan Teknologi Ilmiah, 1(1), 93–106.
Wanto, A., Siregar, M. N. H., Windarto, A. P., Hartama, D., Ginantra, N. L. W. S. R., Napitupulu, D., Negara, E. S., Lubis, M. R., Dewi, S. V., & Prianto, C. (2020). Data Mining: Algoritma dan Implementasi. Yayasan Kita Menulis.
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2021-07-11
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