Penerapan Metode Multiplicative Decomposition (Seasonal) Untuk Peramalan Produksi Al-Qur’an
DOI:
https://doi.org/10.31004/jutin.v8i3.49153Keywords:
Forecasting, Inventory, time series, DecompositionAbstract
Production planning is crucial for companies, especially for best-selling products. The B5-sized Qur'an is a best-selling product, especially around Eid al-Fitr and major Muslim holidays. Fluctuations in demand, which tend to fluctuate, force Qur'an-producing companies to plan production in a measurable manner. This is absolutely essential to ensure that production output can meet future demand. A suitable method for forecasting production with such a demand pattern is Multiplicative Decomposition (Seasonal). This method is often used not only to generate forecasts but also to generate information regarding the components of time series and the appearance of various factors, such as trends, cycles, seasonality, and irregularities in the observed results. The results of the forecasting calculations using the Multiplicative Decomposition method show that the MAD value is 240.84, MSE 89,811.47 and MAPE 0.1 or 10% where the MAPE error is relatively small, below 20%, so it is hoped that the Multiplicative Decomposition method can be used as a method for forecasting the production of B5-sized Al-Qur'ans in the future period.References
A. Gunaryati and A. Suhendra, “Perbandingan Antara Metode Statistika dan Metode Neural Network Pada Model Peramalan Indeks Harga Perdagangan Besar,” J. Teknol. dan Rekayasa, vol. 20, no. 1, pp. 23–35, 2015,
A. Eunike, N. W. Setyanto, R. Yuniarti, I. Hamdala, R. P. Lukodono, and A. A. Fanani, Perencanaan Produksi Dan Pengendalian Persediaan. UB Press, 2018.
DA Kristiyanti, Y Sumarno, " Penerapan Metode Multiplicative Decomposition (Seasonal) Untuk Peramalan Persediaan Barang Pada PT. Agrinusa Jaya Santosa" Jurnal Sistem Komputer dan Kecerdasan Buatan, Vol. III No. 2 Tahun 2020.
H. Sarjono and B. S. Abbas, FORECASTING: Aplikasi Penelitian Bisnis QM For Windows vs MINITAB vs MANUAL, Pertama. Penerbit Mitra Wacana Media, 2017.
I Maulana, DA Ramadani, R Nugraha, A Anwar, " Kajian Multiplicative Decomposition Seasonal/Menentukan Indeks Musiman Untuk Laporan Penerimaan Barang Bahan Kemas di PT Rohto" Jurnal Inovasi Masyarakat , Vol. 02 No. 03, p-ISSN 2797-1171, 2022
Laboratories Indonesia
R. Y. Hayuningtyas, “Peramalan Persediaan Barang Menggunakan Metode Weighted Moving Average Dan Metode Double Exponential Smoothing,” J. Pilar Nusa Mandiri, vol. 13, no. 2, pp. 217–222, 2017.
T. D. Andini and P. Auristandi, “Peramalan Jumlah Stok Alat Tulis Kantor Di UD Achmad Jaya Menggunakan Metode Double Exponential Smoothing,” J. Ilm. Teknol. dan Inf. Asia, vol. 10, no. 1, pp. 1–10, 2016.
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