Implementasi Metode Algoritma Apriori Untuk Menentukan Pola Pembelian Obat Pertanian
Implementation of the Apriori Algorithm Method to Determine Agricultural Medicine Purchase Patterns
Abstract
Agriculture in Indonesia has an important role in the life, development and economy of the country. As an agricultural country, Indonesia has a variety of agricultural commodities that can be grown in tropical areas, both to meet domestic food needs and to be exported abroad. Sumberpitu Village is a village in Blora Regency, more precisely located in Cepu District. Sumberpitu Village is one of the villages that can develop potential in the agricultural sector. UD. Sumber Tani Rejeki is a distributor of agricultural medicines in the Sumberpitu area. UD. Sumber Tani Rejeki was founded in 2000 until now. Products sold by UD. Sumber Tani Rejeki provides approximately 70 types of agricultural medicines with an average number of transactions per month of 40 transactions. UD. Sumber Tani Rejeki is hoarding unused purchase receipts. With the problems experienced, it is necessary to utilize data using Data Mining. The a priori algorithm is one of the most well-known algorithms for determining high frequency patterns or association rules. The application of the a priori algorithm is very easy to understand in the process of forming itemset combinations. Therefore, the a priori algorithm is suitable to be applied in finding the types of agricultural medicines that are most sold. The application of a priori algorithm calculations using both manual calculations and application of 15 transaction data produces 13 association rules. Where, the iteration stops at the 3rd iteration.
References
Anggrawan, A., Mayadi, M., & Satria, C. (2021). Menentukan Akurasi Tata Letak Barang dengan Menggunakan Algoritma Apriori dan Algoritma FP-Growth. MATRIK : Jurnal Manajemen, Teknik Informatika Dan Rekayasa Komputer, 21(1), 125–138. https://doi.org/10.30812/matrik.v21i1.1260
Arwati, S. (2018). Pengantar Ilmu Pertanian Berkelanjutan (A. S. A (ed.)). Penerbit INTI MEDIATAMA. https://www.google.co.id/books/edition/Pengantar_Ilmu_Pertanian_Berkelanjutan/rzOBDwAAQBAJ?hl=id&gbpv=1
Buulolo, E. (2020). Data Mining Untuk Perguruan Tinggi - Efori Buulolo - Google Buku (Pertama). Deepublish. https://books.google.co.id/books?id=-K_SDwAAQBAJ&printsec=frontcover&hl=id&source=gbs_ge_summary_r&cad=0#v=onepage&q&f=false
Erfina, A., Melawati, & Destria Arianti, N. (2020). Penerapan Metode Data Mining Terhadap Data Transaksi Penjualan Menggunakan Algoritma Apriori. Jurnal Riset Sistem Informasi Dan Teknologi Informasi (JURSISTEKNI), 2(3), 14–22. https://doi.org/10.52005/jursistekni.v2i3.62
Musafa, Z. (2021). Algoritma Apriori Penentuan Pola Penjualan: Studi Kasus Toko Akhtar Galaxy (Z. Musafa (ed.)). Musafa, Zayid. https://www.google.co.id/books/edition/Algoritma_Apriori_Penentuan_Pola_Penjual/3CFQEAAAQBAJ?hl=id&gbpv=1
Pane, S. F., & Saputra, Y. A. (2020). Big Data: Classification Behavior Menggunakan Python. Kreatif. https://books.google.co.id/books?id=YvjVDwAAQBAJ&pg=PA8&dq=python&hl=id&newbks=1&newbks_redir=0&source=gb_mobile_search&ovdme=1&sa=X&ved=2ahUKEwi1_42Vh_iBAxVN3jgGHckwAk8Q6wF6BAgFEAU#v=onepage&q=python&f=false
Perdana, R. W., & Meri, R. (2023). Implementasi Data Mining pada Penjualan Seprai Menggunakan Algoritma Apriori. Jurnal JOISIE, 7. https://doi.org/10.33364/algoritma/v.20-1.1259
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). https://doi.org/10.31294/jki.v8i2.8994
Sahri, R. J., Hidayah, N., Fadhillah, N., Fuadi, A., Abidin, I., Hannifa, W., & Wulandari, S. (2022). Tanaman Pangan Sebagai Sumber Pendapatan Petani Di Kabupaten Karo. Jurnal Informasi Penelitian, 2(10), 3223–3230.
Santosa, B. (2007). Data Mining : Teknik Pemanfaatan Data untuk Keperluan Bisnis. Graha Ilmu.
Setiawan, Z., Fajar, M., Priyatno, A. M., Putri, A. Y. P., Aryuni, M., Yuliyanti, S., Widiputra, H., Budanis Dwi Meilani, R. N. I., Azdy, R. A., Junaidi, S., & Wijaya, A. (2023). BUKU AJAR DATA MINING (E. Efitra & S. Sepriano (eds.)). PT. Sonpedia Publishing Indonesia. https://www.google.co.id/books/edition/BUKU_AJAR_DATA_MINING/1nLVEAAAQBAJ?hl=id&gbpv=1
Sibarani, A. J. P. (2020). Implementasi Data Mining Menggunakan Algoritma Apriori Untuk Meningkatkan Pola Penjualan Obat. JATISI (Jurnal Teknik Informatika Dan Sistem Informasi), 7(2), 262–276. https://doi.org/10.35957/jatisi.v7i2.195
Sinaga, M. C. (2017). Kriptografi Python. Matius Celcius Sinaga. https://books.google.co.id/books?id=HCroDwAAQBAJ&newbks=1&newbks_redir=0&printsec=frontcover&hl=id&source=gbs_ge_summary_r&cad=0#v=onepage&q&f=false
Tarigan, P. M. S., Hardinata, J. T., Qurniawan, H., Safii, M., & Winanjaya, R. (2022). Implementasi Data Mining Menggunakan Algoritma Apriori Dalam Menentukan Persediaan Barang. Jurnal Janitra Informatika Dan Sistem Informasi, 2(1), 9–19. https://doi.org/10.25008/janitra.v2i1.142
Urva, G., Desyanti, Albanna, I., Sungkar, M. S., Gunawan, I. M. A. O., Adhicandra, I., Ramadhan, S., Rahardian, R. L., Herlawati, Handayanto, R. T., Ariana, A. A. G. B., Hartatik, Atika, P. D., & Junaidi, S. (2023). PENERAPAN DATA MINING DI BERBAGAI BIDANG : Konsep, Metode, dan Studi Kasus (A. Juansa, Efitra, & Sepriano (eds.)). PT. Sonpedia Publishing Indonesia. https://www.google.co.id/books/edition/PENERAPAN_DATA_MINING_DI_BERBAGAI_BIDANG/uq6-EAAAQBAJ?hl=id&gbpv=1
