Sistem Prediksi Penjualan Produk APD Terlaris di PT A3 Karunia Sidoarjo menggunakan Metode Naive Bayes
Abstract
PT. A3 Karunia has been generating daily sales data but has not fully optimized its utilization, leading to a buildup of data. Therefore, data mining can be employed to address this issue. One of the data mining applications utilizes the Naïve Bayes method. This research develops a web-based prediction system using PHP and MySQL. The system utilizes 2 years' worth of sales data summarized into quarters. This results in a total of 8 quarters of sales data, which will serve as attributes in the Naive Bayes algorithm. The dataset used consists of 110 records, with 30% (32 records) designated as test classification data. By employing the Naive Bayes algorithm, classification results are obtained. The classification of test data yields an accuracy of 90.62%, with a breakdown of 3 misclassifications and the remaining 29 data points classified correctly.
Downloads
References
1. Chen, Z., Liu, Y., & Yang, Y, 2018. Sales Prediction for New Products Based on Naive Bayes Classifier and Random Forest. In 2018 International Conference on Mathematics and Computers in Sciences and Industry (MCSI), 180-184.
2. Khasanah, R., & Lestari, D. P. (2020). Sales Prediction of Convenience Store Using Naive Bayes Algorithm. In 2020 International Conference on Computer Engineering, Network, and Intelligent Multimedia (ICCNI), 1-5.
3. Li, W., Hu, Q., & Cheng, C. (2019). A Sales Forecasting Method Based on Naive Bayes Classification Algorithm. In 2019 International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI), 119-122. IEEE.
4. Sadikin, Y., & Ramadhani, D. (2020). Sales Forecasting using Naive Bayes Algorithm in Grocery Store. In 2020 International Conference on Information and Communications Technology (ICOIACT), 225-229.
5. Shahriar, R., & Hossain, M. S. (2019). Sales Prediction of a Retail Store Using Machine Learning. In 2019 IEEE Region 10 Symposium (TENSYMP), 800-804.
6. Tsai, Y. L., & Liu, C. C. (2019). Sales Prediction of New Products Using Naive Bayes Classifier and LSTM Neural Network. In 2019 International Conference on Machine Learning Technologies (ICMLT), 24-28.
7. Wang, J., & Han, L. (2020). Sales Forecasting Based on Naive Bayes Algorithm. In 2020 International Conference on Advanced Computer Science and Information Systems (ICACSIS). 433-438..
Abdullah, R. W., Hartanti, D., Permatasari, H., Septyanto, A. W., & Bagaskara, Y. A, 2022. Penerapan Data Mining untuk Memprediksi Jumlah Produk Terlaris Menggunakan Algoritma Naive Bayes Studi Kasus (Toko Prapti). Jurnal Ilmiah Informatika Global, 20-27.
Adriyendi, A., & Melia, Y, 2020. Klasifikasi Menggunakan Naïve Bayes Dan K-Nearest Neighbor Pada Manajemen Layanan Teknologi Informasi. Jurnal Teknologi Dan Sistem Informasi Bisnis, 99-107.
Alhayali, R. I., Ahmed, M. A., Mohialden, Y. M., & Ali, A. H, 2020. Efficient method for breast cancer classification based on ensemble hoffeding tree and naïve Bayes. Indonesian Journal of Electrical Engineering and Computer Science, 1074-1080.
Analisis Seleksi Atribut Dalam Memprediksi Kegagalan Skripsi Mahasiswa Menggunakan Algoritme Naïve Bayes pada Jurusan Sistem Informasi Universitas Brawijaya, 2023. Jurnal Teknologi Informasi Dan Ilmu Komputer, 379-384.
Ananda, W., Safii, M., & Fauzan, M, 2021. Prediksi Jumlah Hasil Panen Sawit Menggunakan Algoritma Naive Bayes. TIN: Terapan Informatika Nusantara, 513-519.
Ariandi, V., Hadi, F., & Lusinia, S. A, 2022. Sistem Pakar Untuk Mendiagnosa Penyakit Dada Dengan Menggunakan Metode Naives Bayes Dan Bahasa Pemrograman Php Dan Mysql. Jurnal Teknologi Dan Sistem Informasi Bisnis, 35-46.
Berikut adalah tujuh referensi jurnal internasional yang membahas prediksi penjualan menggunakan algoritma Naive Bayes:
Chundi, R., Hulipalled, V. R., & Simha, J. B, 2023. NBLex: emotion prediction in Kannada-English code-switch text using naïve bayes lexicon approach. International Journal of Electrical & Computer Engineering, 2088-8708.
Gunawan, B., Sastypratiwi, H., & Pratama, E. E, 2018. Sistem Analisis Sentimen pada Ulasan Produk Menggunakan Metode Naive Bayes. JEPIN (Jurnal Edukasi dan Penelitian Informatika), 113-118.
Juwita, J., Safii, M., & Damanik, B. E, 2022. Naïve Bayes Algorithm For Predicting Sales at the Pematang Siantar VJCakes Store. JOMLAI: Journal of Machine Learning and Artificial Intelligence, 337–346.
Manurung, M., & Dzulhijjah, N, 2022. Penerapan Algoritma Naïve Bayes Menentukan Tingkatan Kalori Menu Mc’Donald’s. Jurnal Teknologi Sistem Informasi, 256-265.
Qawasmeh, Y., Al-Radaideh, Q., AlQuraan, A., & Otoom, A. F, 2023. Bayes model for assessing the reading difficulty of English text for English education in Jordan. International Journal of Electrical and Computer Engineering (IJECE), 4441-4451.
S. Rahmatullah, M. Mukrim, M. Pramitha, F. Ardhy, and R. Rustam, 2019. Data Mining untuk Menentukan Produk Terlaris Menggunakan Metode Naive Bayes. Jurnal Informasi dan Komputer, 57-64.
Sidik, Agung Purnomo, 2019. Diagnosis of Types of Diseases in Cassava Plant by Bayes Method. Jurnal Online Informatika, 69-74.
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under an Attribution 4.0 International (CC BY 4.0) that allows others to share — copy and redistribute the material in any medium or format and adapt — remix, transform, and build upon the material for any purpose, even commercially with an acknowledgment of the work's authorship and initial publication in this journal.
