Pemodelan Data Mining Transaksi Penjualan Menggunakan Algoritma Apriori (Studi Kasus: Kedai Ngodeng & Smoothies)
DOI:
https://doi.org/10.35870/jimik.v5i3.992Keywords:
Transactions, Sales, Data Mining, Apriori Algorithm, CRISP-DMAbstract
The role of UMKM is very large in the growth of the Indonesian economy, Kedai Ngodeng & Smoothies, as one of the UMKM that is active in the food and beverage industry. This shop has not made maximum use of sales transaction data. The transaction data is only used as an archive and is not used to organize sales strategies. In this research, the method used is the a priori algorithm to determine the relationship between one product item and other product items so that it can be used as a promotional package or bundling to increase sales profits. The data used is sales transaction data for the Ngodeng & Smoothies shop from January to May 2024. The research began with initial data collection, followed by data description and evaluation of data selection. After that, attribute selection is carried out. The CRISP-DM method is applied in this research which includes six stages, namely business understanding, data understanding, data preparation, modeling, evaluation and dissemination. Based on the results of the research, there are 95 Association Rules based on previously determined parameters, namely the minimum support value is 50% and the minimum confidence is 90%. One of the rules that was formed is that Smoothies Mangga Large, Twister, Kembang Cumi --> Odeng Spicy has a confidence value of 100%. The information obtained can provide important insights into customer preferences and can be used to design more effective product bundling promotions.
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Abizal, R., Syahra, Y., & Hafizah, H. (2022). Implementasi Algoritma Apriori Dalam Menganalisis Pola Penjualan Pada Restoran Sederhana. Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD, 5(1), 76-82. DOI: https://doi.org/10.53513/jsk.v5i1.4794.
Adri, A., Rumlaklak, N. D., & Sina, D. R. (2021). Implementasi Algoritma Apriori Untuk Analisa Data Penjualan (Studi Kasus: Toko Ud. Suryani). J-Icon: Jurnal Komputer dan Informatika, 9(2), 182-188. DOI: https://doi.org/10.35508/jicon.v9i2.5132.
Aprita, L., & Perdana, A. (2023). Penerapan Metode Data Mining terhadap Data Transaksi Penjualan Menggunakan Algoritma Apriori pada Toko Metro Akustik. Jurnal Teknologi Informatika dan Komputer, 9(1), 274-283. .
Darmawan, I., & Santika, R. R. (2023, October). Data Mining Menggunakan Algoritma Apriori Dalam Penjualan Kendaraan Pada Pt. Solusi Integrasi Pratama (Sitama). In Prosiding Seminar Nasional Mahasiswa Fakultas Teknologi Informasi (SENAFTI) (Vol. 2, No. 2, pp. 379-388).
Dewi, L. C., Irawan, E., & Sormin, R. K. (2022). Penerapan Algoritma Apriori Terhadap Data Mining Penjualan Di Alfamart Berastagi. FATIMAH: Penerapan Teknologi dan Sistem Komputer, 1(1), 38-47.
Erfina, A., & Arianti, N. D. (2020). Penerapan Metode Data Mining Terhadap Data Transaksi Penjualan Menggunakan Algoritma Apriori. Jurnal Riset Sistem Informasi Dan Teknologi Informasi (JURSISTEKNI), 2(3), 14-22. DOI: https://doi.org/10.52005/jursistekni.v2i3.62.
Harahap, F., Saragih, N. E., Situmeang, E. D. P., Tuti, E., Ginting, E., & Fahrozi, W. (2022). Implementasi Data Mining dalam Memprediksi Stok Herbal menggunakan Algoritma Apriori. JURNAL MEDIA INFORMATIKA BUDIDARMA, 6(2), 1159-1165. DOI: http://dx.doi.org/10.30865/mib.v6i2.3937.
Huda, M., & Kom, M. (2019). Algoritma Data Mining: Analisis Data Dengan Komputer. bisakimia.
Illang, A., & Witanti, A. (2020, November). Implementasi Data Mining pada Penjualan Produk Sembako Menggunakan Metode Algoritma Apriori. In Seminar Multimedia & Artificial Intelligence (Vol. 3, pp. 34-40).
Juliano, A., Rasim, R., & Sugiyatno, S. (2022). Algoritma Apriori Untuk Pola Penjualan Pada Kedai Kopi Studi Kasus: Kedai Kopioko. Journal of Students ‘Research in Computer Science, 3(1), 29-38. DOI: https://doi.org/10.31599/02t5ze63.
Kristania, Y. M., & Listanto, S. (2022). Implementasi Data Mining Terhadap Data Penjualan Dengan Algoritma Apriori Pada Pt. Duta Kencana Swaguna. Jurnal Teknoinfo, 16(2), 364-372. DOI: https://doi.org/10.33365/jti.v16i2.1973.
Lestari, A. F., & Hafiz, M. (2020). Penerapan Algoritma Apriori Pada Data Penjualan Barbar Warehouse. Jurnal Inovtek Polbeng Seri Informatika, 5(1), 96-105. DOI: https://doi.org/10.35314/isi.v5i1.1317.
Lestari, T. A., Ramadhanti, R., & Windarto, A. P. (2021). Implementasi Algoritma Apriori Terhadap Data Penjualan di Toko Roti Ganda Pematangsiantar. Bulletin of Computer Science Research, 1(2), 37-41. DOI: https://doi.org/10.47065/bulletincsr.v1i2.106.
Marisa, F., & Anastasia Lidya Maukar, T. M. A. (2021). DATA MINING KONSEP DAN PENERAPAN.
Matondang, N. F., Jaya, H., & Azanuddin, A. (2022). Penerapan Data Mining Menggunakan Algoritma Apriori Dalam Menentukan Pola Penjualan Barang Elektronik. Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer), 21(2), 102-114. DOI: https://doi.org/10.53513/jis.v21i2.5988.
Merliani, N. N., Khoerida, N. I., Widiawati, N. T., Triana, L. A., & Subarkah, P. (2022). Penerapan Algoritma Apriori Pada Transaksi Penjualan Untuk Rekomendasi Menu Makanan Dan Minuman. J. Nas. Teknol. dan Sist. Inf, 8(1), 9-16.
Naldy, E. T., & Andri, A. (2021). Penerapan Data Mining Untuk Analisis Daftar Pembelian Konsumen Dengan Menggunakan Algoritma Apriori Pada Transaksi Penjualan Toko Bangunan MDN. Jurnal Nasional Ilmu Komputer, 2(2), 89-101. DOI: https://doi.org/10.47747/jurnalnik.v2i2.525.
Nasrah, T., Nasution, K., & Sulaiman, O. K. (2021, August). Penerapan Algoritma Apriori Pada Penjualan Kopi Arabica. In Prosiding Seminar Nasional Teknik UISU (SEMNASTEK) (Vol. 4, No. 1, pp. 118-124).
Prasetyo, A., Sastra, R., & Musyaffa, N. (2020). IMPLEMENTASI DATA MINING UNTUK ANALISIS DATA PENJUALAN DENGAN MENGGUNAKAN ALGORITMA APRIORI (STUDI KASUS DAPOERIN'S). Jurnal Khatulistiwa Informatika, 8(2). DOI: https://doi.org/10.31294/jki.v8i2.8994.
Rahman, I. A., Farifah, R. Y., & Hamami, F. (2022). Implementasi Data Mining Pada Penjualan Toko Sembako Dengan Algoritma Apriori. eProceedings of Engineering, 9(2).
Rahmi, A. N., & Mikola, Y. A. (2021). Implementasi Algoritma Apriori Untuk Menentukan Pola Pembelian Pada Customer (Studi Kasus: Toko Bakoel Sembako). Information System Journal, 4(1), 14-19. DOI: https://doi.org/10.24076/infosjournal.2021v4i1.561.
Rosmayati, I., Wahyuningsih, W., Harahap, E. F., & Hanifah, H. S. (2023). Implementasi Data Mining pada Penjualan Kopi Menggunakan Algoritma Apriori. jurnal algoritma, 20(1), 99-107.
Saputra, R., & Sibarani, A. J. (2020). Implementasi Data Mining Menggunakan Algoritma Apriori Untuk Meningkatkan Pola Penjualan Obat. JATISI (Jurnal Teknik Informatika Dan Sistem Informasi), 7(2), 262-276. DOI: https://doi.org/10.35957/jatisi.v7i2.195.
Swastika, R., Mukodimah, S., Susanto, F., Muslihudin, M., & Adab, S. I. P. (2023). IMPLEMENTASI DATA MINING (Clastering, Association, Prediction, Estimation, Classification). Penerbit Adab.
Triyanto, T., Yulianti, H., & Ikhwani, M. (2024). PENERAPAN DATA MINING TERHADAP DATA PENJUALAN DENGAN MENGGUNAKAN ALGORITMA APRIORI PADA TOKO CITRA UTAMA. JISAMAR (Journal of Information System, Applied, Management, Accounting and Research), 8(2), 401-415. DOI: https://doi.org/10.52362/jisamar.v8i2.1485.
Wardani, F. A. K., & Kristiana, T. (2020). Implementasi Data Mining Penjualan Produk Kosmetik Pada PT. Natural Nusantara Menggunakan Algoritma Apriori. Jurnal Khatulistiwa Informatika, 22(1), 85-90.
Werdiningsih, I., Novitasari, D. C. R., & Haq, D. Z. (2022). Pengelolaan Data Mining dengan Pemrograman Matlab. Airlangga University Press.
Wibowo, T. M., & Karyati, C. M. (2021). IMPLEMENTASI DATA MINING MENGGUNAKAN ALGORITMA APRIORI PADA TRANSAKSI PENJUALAN PRODUK. Explore, 11(2), 127-134.
Yendrizal, Y. (2020). Data Mining Penjualan Tanaman Hias dengan Algoritma APRIORI Pada Toko Flores Elishabet. Jurnal Media Informatika Budidarma, 4(2), 472-478. DOI: http://dx.doi.org/10.30865/mib.v4i2.2110.
Zega, M. (2023). Penerapan Data Mining pada Transaksi Penjualan Menggunakan Algoritma Apriori di Alfamart Centre Park (Doctoral dissertation, Prodi Teknik Informatika).
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