DATA MINING MENGGUNAKAN ASSOSIATION RULE DENGAN ALGORITMA APRIORI PADA PEMBELIAN JUMARI SERVICE UNTUK MENGETAHUI FREKUENSI PEMBELIAN
DATA MINING MENGGUNAKAN ASSOSIATION RULE DENGAN ALGORITMA APRIORI PADA PEMBELIAN JUMARI SERVICE UNTUK MENGETAHUI FREKUENSI PEMBELIAN
Keywords:
Keywords identify problems, summarize results
Abstract
This research aims to determine organizational structure as an important tool in every form of activity or business, because the role of organizational structure is to regulate 45 management functions where in this organizational structure there is a division of work positions and at the same time there are also activities that must be carried out by each part of the work position. that has been determined, of course the organizational structure must be filled with human resources that are appropriate to the field they are working in, so that the goals can be achieved easily. For discussion in this research analysis, the plan will be to carry out research according to what is currently underway and further analysis of the shop. To make research easier, researchers create a framework for analysis.
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References
A. Anggrawan, M. Mayadi, and C. Satria, “Menentukan Akurasi Tata Letak Barang dengan Menggunakan Algoritma Apriori dan Algoritma FP-Growth,” MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer, vol. 21, no. 1, pp. 125–138, Nov. 2021, doi: 10.30812/matrik.v21i1.1260.
Nola Ritha, E. Suswaini, and W. Pebriadi, “Penerapan Association Rule Menggunakan Algoritma Apriori Pada Poliklinik Penyakit Dalam (Studi Kasus: Rumah Sakit Umum Daerah Bintan),” Jurnal Sains dan Informatika, vol. 7, no. 2, pp. 222–230, Dec. 2021, doi: 10.34128/jsi.v7i2.329.
I. G. A. S. Melati, R. L. Rahardian, and I. M. L. P. Pringgadhan, “ASOSIASI RULE MINING UNTUK REKOMENDASI PADA TRANSAKSI PEMINJAMAN BUKU MENGGUNAKAN FREQUENT PATTERN,” Jurnal Teknik Informasi dan Komputer (Tekinkom), vol. 5, no. 1, p. 168, Jun. 2022, doi: 10.37600/tekinkom.v5i1.497.
L. Wahda Basalamah, N. Ransi, L. B. Aksara, and J. T. Informatika, “IMPLEMENTASI ALGORITMA FREQUENT PATTERN GROWTH PADA APLIKASI RETAIL BERBASIS JAVA MODEL VIEW CONTROLLER (MVC),” vol. 3, no. 1, pp. 67–80.
Y. Nawawi, I. Suharjo, and M. Eng, “Implementasi Data Mining Menentukan Rekomendasi Penempatan Buku Berdasarkan Pola Peminjaman Dengan Menggunakan Association Rule Implementation of Data Mining to Determine Book Placement Recommendation Based on Lending Pattern Using Association Rule,” 2020.
H. Oktafia Lingga Wijaya and C. Yuliansyah, “IMPLEMENTASI ASOSIASI RULE MINING PADA DATA TRANSAKSI PENJUALAN MENGGUNAKAN ALGORITMA APRIORI,” 2022.
I. G. A. S. Melati, R. L. Rahardian, and I. M. L. P. Pringgadhan, “ASOSIASI RULE MINING UNTUK REKOMENDASI PADA TRANSAKSI PEMINJAMAN BUKU MENGGUNAKAN FREQUENT PATTERN,” Jurnal Teknik Informasi dan Komputer (Tekinkom), vol. 5, no. 1, p. 168, Jun. 2022, doi: 10.37600/tekinkom.v5i1.497.
M. Fitriani, G. F. Nama, and M. Mardiana, “Implementasi Association Rule Dengan Algoritma Apriori Pada Data Peminjaman Buku UPT Perpustakaan Universitas Lampung Menggunakan Metodologi CRISP-DM,” Jurnal Informatika dan Teknik Elektro Terapan, vol. 10, no. 1, Jan. 2022, doi: 10.23960/jitet.v10i1.2263.
N. Ratna, S. Purba, and F. Riandari, “Implementasi Data Mining Menggunakan Algoritma Apriori Untuk Analisis Keranjang Belanja Transaksi Penjualan Pada PT Madu Kembang Joyo,” Jurnal Nasional Komputasi dan Teknologi Informasi, vol. 4, no. 1, 2021.
D. Jain and S. Gautam, “International Journal of Computer Science and Mobile Computing Predicting the Effect of Diabetes on Kidney using Classification in Tanagra,” 2014. [Online]. Available: www.ijcsmc.com
G. Smith, J. Whitehead, and M. Mateas, “Tanagra: A mixed-initiative level design tool,” in FDG 2010 - Proceedings of the 5th International Conference on the Foundations of Digital Games, 2010, pp. 209–216. doi: 10.1145/1822348.1822376.
H. Adnan Mooduto, “PENAMBANGAN DATA FORMAT TEXT EXCEL DENGAN SOFTWARE TANAGRA Staf pengajar jurusan Elektro Politeknik Negeri Padang,” 2009.
Nola Ritha, E. Suswaini, and W. Pebriadi, “Penerapan Association Rule Menggunakan Algoritma Apriori Pada Poliklinik Penyakit Dalam (Studi Kasus: Rumah Sakit Umum Daerah Bintan),” Jurnal Sains dan Informatika, vol. 7, no. 2, pp. 222–230, Dec. 2021, doi: 10.34128/jsi.v7i2.329.
I. G. A. S. Melati, R. L. Rahardian, and I. M. L. P. Pringgadhan, “ASOSIASI RULE MINING UNTUK REKOMENDASI PADA TRANSAKSI PEMINJAMAN BUKU MENGGUNAKAN FREQUENT PATTERN,” Jurnal Teknik Informasi dan Komputer (Tekinkom), vol. 5, no. 1, p. 168, Jun. 2022, doi: 10.37600/tekinkom.v5i1.497.
L. Wahda Basalamah, N. Ransi, L. B. Aksara, and J. T. Informatika, “IMPLEMENTASI ALGORITMA FREQUENT PATTERN GROWTH PADA APLIKASI RETAIL BERBASIS JAVA MODEL VIEW CONTROLLER (MVC),” vol. 3, no. 1, pp. 67–80.
Y. Nawawi, I. Suharjo, and M. Eng, “Implementasi Data Mining Menentukan Rekomendasi Penempatan Buku Berdasarkan Pola Peminjaman Dengan Menggunakan Association Rule Implementation of Data Mining to Determine Book Placement Recommendation Based on Lending Pattern Using Association Rule,” 2020.
H. Oktafia Lingga Wijaya and C. Yuliansyah, “IMPLEMENTASI ASOSIASI RULE MINING PADA DATA TRANSAKSI PENJUALAN MENGGUNAKAN ALGORITMA APRIORI,” 2022.
I. G. A. S. Melati, R. L. Rahardian, and I. M. L. P. Pringgadhan, “ASOSIASI RULE MINING UNTUK REKOMENDASI PADA TRANSAKSI PEMINJAMAN BUKU MENGGUNAKAN FREQUENT PATTERN,” Jurnal Teknik Informasi dan Komputer (Tekinkom), vol. 5, no. 1, p. 168, Jun. 2022, doi: 10.37600/tekinkom.v5i1.497.
M. Fitriani, G. F. Nama, and M. Mardiana, “Implementasi Association Rule Dengan Algoritma Apriori Pada Data Peminjaman Buku UPT Perpustakaan Universitas Lampung Menggunakan Metodologi CRISP-DM,” Jurnal Informatika dan Teknik Elektro Terapan, vol. 10, no. 1, Jan. 2022, doi: 10.23960/jitet.v10i1.2263.
N. Ratna, S. Purba, and F. Riandari, “Implementasi Data Mining Menggunakan Algoritma Apriori Untuk Analisis Keranjang Belanja Transaksi Penjualan Pada PT Madu Kembang Joyo,” Jurnal Nasional Komputasi dan Teknologi Informasi, vol. 4, no. 1, 2021.
D. Jain and S. Gautam, “International Journal of Computer Science and Mobile Computing Predicting the Effect of Diabetes on Kidney using Classification in Tanagra,” 2014. [Online]. Available: www.ijcsmc.com
G. Smith, J. Whitehead, and M. Mateas, “Tanagra: A mixed-initiative level design tool,” in FDG 2010 - Proceedings of the 5th International Conference on the Foundations of Digital Games, 2010, pp. 209–216. doi: 10.1145/1822348.1822376.
H. Adnan Mooduto, “PENAMBANGAN DATA FORMAT TEXT EXCEL DENGAN SOFTWARE TANAGRA Staf pengajar jurusan Elektro Politeknik Negeri Padang,” 2009.
Published
2023-03-18
How to Cite
[1]
febri hsb, “DATA MINING MENGGUNAKAN ASSOSIATION RULE DENGAN ALGORITMA APRIORI PADA PEMBELIAN JUMARI SERVICE UNTUK MENGETAHUI FREKUENSI PEMBELIAN : DATA MINING MENGGUNAKAN ASSOSIATION RULE DENGAN ALGORITMA APRIORI PADA PEMBELIAN JUMARI SERVICE UNTUK MENGETAHUI FREKUENSI PEMBELIAN ”, u-net, vol. 7, no. 1, pp. 1-7, Mar. 2023.
Section
Research Article
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