Main Article Content

Abstract

Rice is the main carbohydrate source used by Indonesians as a staple food, so the availability and price are also a concern. The purpose of this study is to forecast monthly rice prices for 2019, while comparing 2 forecasting methods namely Double Moving Average and Double Exponential Smoothing to get the best forecasting results of rice prices. The data used in this study is retail rice prices from January 2011 to March 2019. Based on the tests conducted, the Double Moving Average method is better with the MAPE value reaching 0.582542%, and the MSE value reaching 6349.25 using the time order 3. Average monthly retail price forecasts for 2019 using the DMA method of Rp.12,169, -

Keywords

peramalan double exponential smoothing double moving average forecasting double exponential smoothing double moving average

Article Details

How to Cite
Listiowarni, I., Puspa Dewi, N. ., & Kartika Widhy Hapantenda, A. . (2020). PERBANDINGAN METODE DOUBLE EXPONENTIAL SMOOTHNG DAN DOUBLE MOVING AVERAGE UNTUK PERAMALAN HARGA BERAS ECERAN DI KABUPATEN PAMEKASAN. Jurnal Komputer Terapan , 6(2), 158–169. https://doi.org/10.35143/jkt.v6i2.3634

References

  1. K. Sukiyono and R. Rosdiana, “Pendugaan Model Peramalan Harga Beras Pada Tingkat Grosir,” J. AGRISEP, vol. 17, no. 1, pp. 23–30, 2018, doi: 10.31186/jagrisep.17.1.23-30.
  2. R. Ramadania, “Peramalan Harga Beras Bulanan Di Tingkat Penggilingan Dengan Metode Weighted Moving Average,” Bimaster, vol. 7, no. 4, pp. 329–334, 2018, [Online]. Available: http://jurnal.untan.ac.id/index.php/jbmstr/article/view/28402/75676578415.
  3. A. F. N. Azizah, “Peramalan Migrasi Masuk Kota Surabaya Tahun 2015 dengan Metode Double Moving Average dan Double Exponential Smoothing Brown,” J. Biometrika dan Kependud., vol. 4, no. 2, pp. 172–180, 2015.
  4. C. V. Hudiyanti, F. A. Bachtiar, and B. D. Setiawan, “Perbandingan Double Moving Average dan Double Exponential Smoothing untuk Peramalan Jumlah Kedatangan Wisatawan Mancanegara di Bandara Ngurah Rai,” J. Pengemb. Teknol. Inf. dan Ilmu Komput. Univ. Brawijaya, vol. 3, no. 3, pp. 2667–2672, 2019.
  5. M. B. Nurkahfi, B. H. Prakoso, and V. Wahanggara, “PERBANDINGAN METODE DOUBLE EXPONENTIAL SMOOTHING DAN LEAST SQUARE UNTUK SISTEM PREDIKSI HASIL PRODUKSI TEH ( Studi Kasus : PTPN XII Persero Kebun Bantaran Kabupaten Blitar ),” 2016.
  6. D. A. Swanson, R. Hill, and S. Carolina, “MAPE-R : A Rescaled Measure of Accuracy for Cross-Sectional Forecasts.”
  7. L. Wu, S. Liu, and Y. Yang, “Grey double exponential smoothing model and its application on pig price forecasting in China,” Appl. Soft Comput. J., vol. 39, pp. 117–123, 2016, doi: 10.1016/j.asoc.2015.09.054.
  8. S. A. Paruntu and I. D. Palandeng, “Analisis Ramalan Penjualan dan Persediaan Produk Sepeda Motor Suzuki pada PT Sinar Galesong Mandiri Malalayang,” J. EMBA, vol. 6, no. 4, pp. 2828–2837, 2018.