Rancang Bangun Inventarisasi Barang menggunakan Algoritma Apriori Sebagai Data Mining

Main Article Content

Aditya Prasetya
Septi Andriana
Ratih Titi Komalasari

Abstract

Inventory activities become an important thing for business progress, along with the times, inventory activities become easier due to the large number of facilities and infrastructure to support activities, including the Ap Jaya Store which also competes in the modern era, but currently, inventory activities in stores Ap Jaya still uses the manual method, namely by recording inventory activities using a book then recapitulating one by one so that it takes a lot of time, along with these problems an inventory application is needed that can be used to support these activities, this inventory application is made using the a priori algorithm method as data mining and using the programming language PHP and MySQL as a database besides that the a priori algorithm can also be used for item recommendation systems, on testing with 20 transaction data with a minimum support value = 20% and a minimum confidence = 70% also from the results of the transaction. Tests carried out using the apriori algorithm and using applications that are made get the same results according to the requirements for support and confidence values.

Downloads

Download data is not yet available.

Article Details

How to Cite
Prasetya, A., Andriana, S., & Komalasari, R. T. (2021). Rancang Bangun Inventarisasi Barang menggunakan Algoritma Apriori Sebagai Data Mining. Jurnal JTIK (Jurnal Teknologi Informasi Dan Komunikasi), 5(4), 354–361. https://doi.org/10.35870/jtik.v5i4.223
Section
Articles

References

Zhu, Z. and Wang, J.Y., 2007, August. Book recommendation service by improved association rule mining algorithm. In 2007 international conference on machine learning and cybernetics (Vol. 7, pp. 3864-3869). IEEE.

Cahyanti, M., Mujahidin, M. and Swedia, E.R., 2007. Penerapan algoritma Apriori association rule untuk analisa nilai mahasiswa di Universitas Gunadarma. SEMNASTEKNOMEDIA ONLINE, 5(1), pp.2-1.

Rodiyansyah, S.F., 2016. Algoritma Apriori untuk Analisis Keranjang Belanja pada Data Transaksi Penjualan. INFOTECH journal, 1(2).

Lestari, N., 2017. Penerapan Data Mining Algoritma Apriori Dalam Sistem Informasi Penjualan. Edik Informatika, 3(2), pp.103-114.

Sinaga, A.S.R., Implementasi Data Mining Penjualan Produk Pakaian Dengan Algoritma Apriori. Indonesian Journal of Applied Informatics, 4(1), pp.23-29.

Salam, A. and Sholik, M., 2018. Implementasi Algoritma Apriori untuk Mencari Asosiasi Barang yang Dijual di E-commerce OrderMas. Techno. Com: Jurnal Teknologi Informasi, 17(2), pp.158-170.

Kusumo, H., Sediyono, E. and Marwata, M., 2019. Analisis Algoritma Apriori Untuk Mendukung Strategi Promosi Perguruan Tinggi.

Putra, J.L., Raharjo, M., Sandi, T.A.A., Ridwan, R. and Prasetyo, R., 2019. Implementasi Algoritma Apriori Terhadap Data Penjualan Pada Perusahaan Retail. Jurnal Pilar Nusa Mandiri, 15(1), pp.85-90.

Purba, W., Penerapan Data Mining Menggunakan Metode Apriori Untuk Menyusun Pola Persediaan Inventaris Barang Pada Biro Sarana Dan Prasarana Universitas Prima Indonesia. JS (Jurnal Sekolah), 3(2), pp.191-196.

Oktaviani, N. and Widiarta, I.M., 2019. Sistem Informasi Inventaris Barang Berbasis Web Pada SMP Negeri 1 Buer. Jurnal Informatika, Teknologi dan Sains, 1(2), pp.160-168.