Application Of The Least Square Method For Website Based Shrimp Sales Prediction
DOI:
https://doi.org/10.59923/mechatronics.v1i1.18Keywords:
Least square, Prediction, SalesAbstract
UD Arif is a company engaged in the business of buying and selling shrimp, this company is located on Jalan Soreang No.127 Pitue, Desa Pitue, Kec. Ma'rang, Kab.Pangkep. The problem that is often experienced at UD Arif is the amount of shrimp availability that does not match customer demand because shrimp quickly deteriorate and sales fluctuate due to market demand, such as the size of the shrimp that must be stocked, the quality of the shrimp, and too much stock on the market resulting in Shrimp sales decline Therefore the aim of this study is to produce an application that can make UD Arif's youth easier in predicting shrimp sales. So the method used in this study is the least squares method, which is a method that can handle data that experiences ups and downs, where it is influenced by seasons and trends. The result of this research is to produce a website that can predict shrimp sales. These results are known by means of correlation, namely looking for a relationship between the original data and the predicted data calculated using Excel. From this correlation method, it is known that with 12 months of test data, it is possible to have a vannamei shrimp test with a MAPE result of 3.7%.
References
Chandra Astiti, S. (2023). Penerapan Metode Least Square Dalam Perhitungan Proyeksi Jumlah Penduduk. Sepren, 4(02), 147–154. https://doi.org/10.36655/sepren.v4i02.1131
Ghulam, B., Shidiq, A., Furqon, M. T., & Muflikhah, L. (2022). Prediksi Harga Beras menggunakan Metode Least Square. Pengembangan Teknologi Informasi Dan Ilmu Komputer, 6(3), 1149–1154.
Hatta, M., & Fauziah Fitri, A. (2020). Sistem Prediksi Persediaan Stok Darah Dengan Metode Least Square Pada Unit Transfusi Darah Studi Kasus PMI Kota Cirebon. Jurnal Ilmiah Ilmu Komputer, 6(1), 41–45. https://doi.org/10.35329/jiik.v6i1.130
Hudiyanti, C. V., Bachtiar, F. A., & Setiawan, B. D. (2019). Perbandingan Double Moving Average dan Double Exponential Smoothing untuk Peramalan Jumlah Kedatangan Wisatawan Mancanegara di Bandara Ngurah Rai. Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer, 3(3), 2667–2672.
Muhammad, R. I., Nainggolan, E. R., Putra, J. L., Sidik, S., Susafa’ati, S., Radiyah, U., & Utami, A. R. (2017). Verifikasi Metode Pengujian Sulfat Dalam Air dan Air Limbah Sesuai SNI 6989.20:2009. Technologic, 12(2). https://doi.org/10.52453/t.v12i2.384
Purba, S. Y., Erwansyah, K., Kom, S., Kom, M., Halim, J., Berganda, L., Penjualan, E., & Tambak, U. (2020). Penerapan Data Mining Untuk Mengestimasi Penjualan Udang Tambak Dengan Metode Regresi Linier Berganda Pada UD.Tambak Kusuma Jaya Pangkalan Susu Keyword: Data Mining, Metode Regresi Nama : Sinta Yusnita Purba Kampus : STMIK Triguna Dharma Program Studi : Sistem Informasi. Jurnal CyberTech, April. https://ojs.trigunadharma.ac.id/
Ridwan, A., Faisol, A., & Santi Wahyuni, F. (2020). Penerapan Metode Least Square Untuk Prediksi Penjualan Berbasis Web Pada Doni Sport Malang. JATI (Jurnal Mahasiswa Teknik Informatika), 4(1), 129–136. https://doi.org/10.36040/jati.v4i1.2745
Sari, I. (2022). Peramalan Prediksi Penjualan Garam Pada CV.Saltindo Megajaya Dengan Metode Least Square. JATISI (Jurnal Teknik Informatika Dan Sistem Informasi), 9(4), 3607–3618. https://doi.org/10.35957/jatisi.v9i4.2805
Swanjaya, D., & Putra Pamungkas, D. (2021). Analisa Hasil Prediksi Metode Least Square menggunakan Korelasi dan MAPE pada Toko PS. Generation Journal, 5(1), 11–18. https://doi.org/10.29407/gj.v5i1.15440
Utama, H., & Informatika, T. (2018). Analisis Dan Perancangan Sistem Informasi Peramalan Penjualan Pada Pt. Surya Utama Fibertek Menggunakan Metode Least Square. Budha Dharma.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Muhsina Muhsina, Siska Anraeni, Muhammad Arfah Asis
This work is licensed under a Creative Commons Attribution 4.0 International License.
