Prediksi Persediaan Barang Tepat Waktu dengan Menerapkan Algoritma Apriori
-
Muhammad Makmun Effendi
*
universitas pelita bangsa,
Indonesia
- Farish Al Khairi Universitas Pelita Bangsa, Indonesia
- Arif Siswandi Universitas Pelita Bangsa, Indonesia
Abstract
he Apriori algorithm is a data mining technique for determining associative rules for a combination of components, this study aims to find the pattern frequency of each component that has been ordered by the customer so that the order is in accordance with the number and timely delivery, therefore to support the problems faced by PT. . SMF for the combination of inventory to purchase of goods, PT SMF applies the Apriori Algorithm to predict stock of goods so that when there is an order, the goods are not lacking and the delivery is also on time. The results of the research carried out obtained the most data on goods produced every 1 month, including the Pipe Bracket and Solenoid Bracket pattern of linkages in terms of predicting the number of goods at PT. If SMF produces Pipe Brackets, it must also produce Selenoid Brackets where the resulting confidence is 60%, Nc : 4, and for the lift ratio test it is 2.307. Whereas if you produce the Selenoid Valve Bracket, you must also produce the air pipe bracket for the resulting confidence of 75%, Nc: 5, and the lift ratio test of 2.272.
References
K. Tampubolon, H. Saragih, B. Reza, K. Epicentrum, A. Asosiasi, and A. Apriori, “Implementasi Data Mining Algoritma Apriori Pada Sistem Persediaan Alat-Alat Kesehatan,” pp. 93–106, 2013.
A. Anas, “Analisa Algorithma Apriori Untuk Mendapatkan Pola Peminjaman Buku Perpustakaan Smpn 3 Batanghari,” J. Ilm. Media SISFO, vol. 10, no. 2, pp. 628–641, 2016.
E. Manalu, F. A. Sianturi, and M. R. Manalu, “Penerapan Algoritma Naive Bayes Untuk Memprediksi Jumlah Produksi Barang Berdasarkan Data Persediaan dan Jumlah Pemesanan Pada CV. Papadan Mama Pastries,” J. Mantik Penusa, vol. 1, no. 2, pp. 16–21, 2017.
F. S. Panjaitan, “Implementasi Algoritma Apriori Untuk Penentuan Pola Persediaan Barang Pada Ud. Chandra Jaya Tani,” J. Penelit. Tek. Inform., vol. 4, no. 2, pp. 567–570, 2021, [Online]. Available: http://jurnal.unprimdn.ac.id/index.php/JUTIKOMP/article/view/2070
A. J. P. Sibarani, “Implementasi Data Mining Menggunakan Algoritma Apriori Untuk Meningkatkan Pola Penjualan Obat,” JATISI (Jurnal Tek. Inform. dan Sist. Informasi), vol. 7, no. 2, pp. 262–276, 2020, doi: 10.35957/jatisi.v7i2.195.
R. Yanto and R. Khoiriah, “Implementasi Data Mining dengan Metode Algoritma Apriori dalam Menentukan Pola Pembelian Obat,” Creat. Inf. Technol. J., vol. 2, no. 2, p. 102, 2015, doi: 10.24076/citec.2015v2i2.41.
M. Safii and A. Trydillah, “METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi IMPLEMENTASI DATA MINING DALAM MENENTUKAN POLA PEMBELIAN OBAT DENGAN METODE ALGORITMA APRIORI,” METHOMIKA J. Manaj. Inform. Komputerisasi Akunt., vol. 3, no. 1, p. 66, 2019, [Online]. Available: https://doi.org/10.46880/jmika.Vol3No1.pp66-71
U. Ependi and A. Putra, “Solusi Prediksi Persediaan Barang dengan Menggunakan Algoritma Apriori (Studi Kasus: Regional Part Depo Auto 2000 Palembang),” J. Edukasi dan Penelit. Inform., vol. 5, no. 2, p. 139, 2019, doi: 10.26418/jp.v5i2.32648
A. Karim, “Penerapan Algoritma Entropy dan Aras Menentukan Desa Terbaik Di Pemerintah Kabupaten Labuhanbatu,” vol. 3, no. 1, pp. 33–43, 2022.
A. Karim and Dkk, “SISTEM PAKAR DIAGNOSA KEGAGALAN KONEKSI TCP/IP PADA JARINGAN KOMPUTER MENGGUNAKAN METODE FORWARD CHAINING,” KOMIK (Konferensi Nas. Teknol. Inf. dan Komputer), vol. I, no. I, pp. 138–144, 2017.
A. Karim, S. Esabella, M. Hidayatullah, and T. Andriani, “Sistem Pendukung Keputusan Aplikasi Bantu Pembelajaran Matematika Menggunakan Metode EDAS,” vol. 4, no. 3, 2022, doi: 10.47065/bits.v4i3.2494.
M. Bobbi, K. Nasution, S. Suryadi, and A. Karim, “Sistem Pendukung Keputusan Dalam Rekomendasi Kelayakan nasabah Penerima Kredit Menerapkan Metode MOORA dan MOOSRA,” vol. 4, no. 3, pp. 1284–1292, 2022, doi: 10.47065/bits.v4i3.2610.
A. karim; K. B. Bangun, “Sistem Pakar Pendeteksi Kerusakan Komputer Berbasis WEB,” J. Infotek, p. 5, 2019.
A. Karim, S. Esabella, T. Andriani, and M. Hidayatullah, “Penerapan Metode Multi-Objective Optimization on the Basis of Simple Ratio Analysis ( MOOSRA ) dalam Penentuan Lulusan Mahasiswa Terbaik,” vol. 4, no. 1, pp. 162–168, 2022, doi: 10.47065/bits.v4i1.1630.
M. Bobbi, K. Nasution, A. Karim, and S. Esabella, “Sistem Pendukung Keputusan Penilaian Kinerja Ketua Program Studi Menerapkan Metode WASPAS dengan Pembobotan ROC,” vol. 4, no. 1, pp. 130–136, 2022, doi: 10.47065/bits.v4i1.1619.
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