ALGORITMA APRIORI MENENTUKAN BEST SELLER DURIAN DI KOTA BATAM

  • Koko Handoko Universitas Putera Batam
  • Pastima Simanjuntak Universitas Putera Batam
  • Erlin Elisa Universitas Putera Batam

Abstract

The city of Batam is a city where immigrants are generally not native, day and night along the streets there are many people selling culinary delights, currently one of the things that is in great demand is durian which has many types such as durian in Bintan, Tanjung Batu, Medan, Padang, Palembang and Malaysia. The people of Batam, like those in general who live in Nongsa, Botania, Batam Center, Batu Aji, Tiban and Bengkong, buy durian from areas such as durian from Sumatra Island because there are many durian sellers on the side of the road day or night, but durian sellers in the Nagoya area generally sell durian from the Bintan, Ujung Batu and Malaysia areas with different prices from durian from Sumatra Island. With this, the author looks for manual results first and will match these results using the a priori algorithm method and assisted by RapidMiner software to ensure that the manual calculations carried out will get the same results using this software. The results of the calculations show that Musangking, Kampung, and 101 durian are the 3 types of durian that are very popular and liked by buyers at KimHui Batam Durian Shop.

References

[1] M. Heinrich, “Farmakognosi dan Fitoterapi,” vol. 6, no. 2, pp. 200–208, 2009.
[2] F. Bun and D. Algoritma, “Analisa Pola Dalam Penentuan Best Seller Produk di,” vol. 5, no. 2, pp. 49–60, 2022.
[3] E. E. Koko Handoko, Pastima Simanjuntak, Ellbert Hutabri, “Penerapan algoritma c4.5 untuk penentuan jurusan siswa sekolah menengah atas,” J. TEKINKOM, vol. 6, pp. 153–157, 2023, doi: 10.37600/tekinkom.v6i1.788.
[4] P. P. Sudarto and K. Handoko, “Implementasi Data Mining Pada Pengaturan Data Invoice Distributor Menggunakan Algoritma Fp Growth,” Comput. Sci. Ind. Eng., vol. 9, no. 2, 2023, doi: 10.33884/comasiejournal.v9i2.7603.
[5] Z. Zulham, I. Rusydi, and M. A. Rahman, “Analisa Pola Sistem Penjualan Makanan Ringan dengan Menggunakan Algoritma Apriori,” J. SAINTIKOM (Jurnal Sains Manaj. Inform. dan Komputer), vol. 20, no. 2, p. 52, 2021, doi: 10.53513/jis.v20i2.3744.
[6] L. N. Nainggolan and E. Elisa, “Analisis Pola Pembelian Produk Menggunakan Algoritma Apriori Pada Toko Surya Elektronik,” J. Comasie, vol. 07, no. 06, pp. 26–31, 2022.
[7] H. Kusumo, E. Sediyono, and M. Marwata, “Analisis Algoritma Apriori untuk Mendukung Strategi Promosi Perguruan Tinggi,” Walisongo J. Inf. Technol., vol. 1, no. 1, p. 49, 2019, doi: 10.21580/wjit.2019.1.1.4000.
[8] D. Prabowo and F. Ramdani, “Penerapan Algoritma Apriori Untuk Rekomendasi Buku Pada Amikom Resource Center,” Inf. Syst. J., vol. 3, no. 1, pp. 8–12, 2020, doi: 10.24076/infosjournal.2020v3i1.207.
[9] S. Saefudin and S. DN, “Penerapan Data Mining Dengan Metode Algoritma Apriori Untuk Menentukan Pola Pembelian Ikan,” JSiI (Jurnal Sist. Informasi), vol. 6, no. 2, p. 36, 2019, doi: 10.30656/jsii.v6i2.1587.
[10] D. K. Batubara, N. Suryani, and D. C. P. Buani, “Penerapan Algoritma Apriori Untuk Menentukan Persediaan Peralatan Dan Mesin,” Indones. J. Softw. Eng., vol. 6, no. 2, pp. 195–203, 2020, doi: 10.31294/ijse.v6i2.9032.
[11] A. H. Elyas and J. Prayoga, “Implementasi Data Mining Pola penjualan Sparepart Motor Honda Pada Pt Rotella Persada Mandiri Dengan Menggunakan Algoritma Apriori,” Device J. Inf. Syst. Comput. Sci. Inf. Technol., vol. 1, no. 1, pp. 22–31, 2020, doi: 10.46576/device.v1i1.698.
[12] Y. Andini, J. T. Hardinata, and Y. P. Purba, “Penerapan Data Mining pada Tata Letak Buku Di Perpustakaan Sintong Bingei Pematangsiantar dengan Metode Apriori,” Jurasik (Jurnal Ris. Sist. Inf. dan Tek. Inform., vol. 7, no. 1, p. 13, 2022, doi: 10.30645/jurasik.v7i1.410.
[13] D. D. Fadila Shely Amalia, Setiawansyah Setiawansyah, “Analisis Data Penjualan Handphone Dan Elektronik Menggunakan Algoritma Apriori,” vol. 2, no. 1, pp. 1–6, 2021.
[14] J. Dongga, A. ` Sarungallo, N. Koru, and G. Lante, “Implementasi Data Mining Menggunakan Algoritma Apriori Dalam Menentukan Persediaan Barang (Studi Kasus: Toko Swapen Jaya Manokwari),” G-Tech J. Teknol. Terap., vol. 7, no. 1, pp. 119–126, 2023, doi: 10.33379/gtech.v7i1.1938.
[15] W. Purba, S. Tamba, and J. Saragih, “The effect of mining data k-means clustering toward students profile model drop out potential,” J. Phys. Conf. Ser., vol. 1007, no. 1, 2018, doi: 10.1088/1742-6596/1007/1/012049.
[16] W. Purba, “Penerapan Data Mining Menggunakan Metode Apriori Untuk Menyusun Pola Persediaan Inventaris Barang Pada Biro Sarana Dan Prasarana Universitas Prima Indonesia,” Js (Jurnal Sekolah), vol. 3, no. 2, p. 191, 2019, doi: 10.24114/js.v3i2.14249.
[17] W. Purba, W. Siawin, and . H., “Implementasi Data Mining Untuk Pengelompokkan Dan Prediksi Karyawan Yang Berpotensi Phk Dengan Algoritma K-Means Clustering,” J. Sist. Inf. dan Ilmu Komput. Prima(JUSIKOM PRIMA), vol. 2, no. 2, pp. 85–90, 2019, doi: 10.34012/jusikom.v2i2.429.
[18] Yulia and M. Silalahi, “K-Means Yöntemi ile Kitapların Gruplandırılmasında Veri Madenciliği Kümeleme Uygulaması (Penerapan Data Mining Clustering Dalam Mengelompokan Buku Dengan Metode K-Means),” Indones. J. Comput. Sci., vol. 10, no. 1, 2021.
[19] R. Alfianzah, R. I. Handayani, and M. Murniyati, “Implementation of Apriori Algorithm Data Mining for Increase Sales,” SinkrOn, vol. 5, no. 1, p. 17, 2020, doi: 10.33395/sinkron.v5i1.10587.
[20] D. Guci, K. Erwansyah, and N. Y. L. Gaol, “Implementasi Data Mining Dalam Memperoleh Pola Kombinasi Produk Ice Cream Di Luigi Gelato Menggunakan Algoritma Apriori Delpia Guci*, Kamil Erwansyah**, Nur Yanti Lumban Gaol** * Sistem Informasi (SI), STMIK Triguna Dharma ** Sistem Informasi (SI), STMIK,” vol. 4, no. 3, 2021.
Published
2024-06-30
How to Cite
HANDOKO, Koko; SIMANJUNTAK, Pastima; ELISA, Erlin. ALGORITMA APRIORI MENENTUKAN BEST SELLER DURIAN DI KOTA BATAM. Jurnal Tekinkom (Teknik Informasi dan Komputer), [S.l.], v. 7, n. 1, p. 419-424, june 2024. ISSN 2621-3079. Available at: <https://jurnal.murnisadar.ac.id/index.php/Tekinkom/article/view/1303>. Date accessed: 21 july 2024. doi: https://doi.org/10.37600/tekinkom.v7i1.1303.
Section
Articles