Implementasi Metode Weighted Moving Average (WMA) pada Peramalan Harga Pangan
Keywords:
Price, Food, Forecasting, WMAAbstract
Forecasting the price of food commodities needs to be done to provide a representation of prices in the coming period. Obtained
from the six types in the price forecasting sample using the Weighted Moving Average (WMA) method, the forecast value uses the Mean Absolute Perscentage Error (MAPE) method to find out how many deviations from forecasting results. Below 10%, it was concluded that the WMA method can be made as a method in forecasting the price of food commodities
References
Asrul, BEW., Zuhriyah., 2018, Sistem Informasi Peramalan Harga
Pangan Dengan Menggunkan Metode Naive Bayes Di Kota
Makassar, Jurnal Sistem Informasi Dan Teknologi Informasi
Vol.2 No 2, 163-171
.Assuari, S., 1984, Teknik dan Metode Peramalan, Fakultas Ekonomi
Universitas Indoensia, Jakarta
.Chang, PC., Wang, YW., Liou, CH., 2007, The Development of a
Weihgted for PCB sales forecasting, Expert System with
Application, 86-96.
Gusfadilah, A., Setiawan, BD., Rahayudi, B., 2019, Implementasi
Metode Exponsial Smoothing Untuk Prediksi Bobot Kargo
Bulanan Di Bandara Internasional I Gusti Ngurah Rai, Jurnal
Pengembangan Teknologi Informasi dan Ilmu Komputer Vol.3
No.2, 1875-1882.
Kemala, CA., 2018, Harga Komoditas Pokok Pangan Menggunakan
Model Exponential Smoothing Pada Situs Web Komoditi Aceh
(Studi Kasus: Kota Banda Aceh), Skripsi Universitas Syiah
Kuala, Aceh.
Makridakis., 1999, Metode dan Aplikasi Peramalan, Edisi 2., Binarupa
Aksara, Jakarta.
Nugroho, A., 2017, Sistem Peramalan Dengan Metode Weighted
Moving Average untuk Persediaan Telur Negeri Ayam Negeri
Pada UD. Barokah, Skripsi Teknik Informatika Universitas
Nusantra PGRI, Kediri.
Ramadania, R., 2018, Peramalan Harga Beras Bulanan Di Tingkat
Penggilingan Dengan Metode Weighted Moving Average,
Buletin Ilmiah Math, Stat. dan Terapan (Bimaster), Hal 329-224.
Satyaputra, MR., Kodong FR., Simanjuntak OS., 2018, Peramalan
Harga Komoditas Bahan Pangan Menggunakan Data Mining
Dengan Metode Triple Exponential Smoothing Winter
Multiplicative, SemnasIF, ISSN: 1979-2328.
Sungkawa, I., Megasari, RT., 2011, Penerapan Ukuran Ketetapan Nilai
Ramalan Data Deret Waktu Dalam Seleksi Model Peramalan
Volume Penjualan PT. Satriamandiri Citramulia, ComTech
Vol.2 N0.2, 636-645.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2020 Haryati Haryati, LM., Fajar Israwan
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
