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All Journal JURNAL PENDIDIKAN TAMBUSAI Competitive Logistik Jurnal Teknik Industri Terintegrasi (JUTIN) Journal of Economics and Business UBS Jurnal Cahaya Mandalika JOURNAL SCIENTIFIC OF MANDALIKA (JSM) Jurnal Ekonomi dan Industri Fakultas Ekonomi Universitas Krisnadwipayana Merpati Jurnal Bisnis, Logistik dan Supply Chain Journal Transformation of Mandalika Innovative: Journal Of Social Science Research JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Competitive Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK)
Dani Leonidas Sumarna
Universitas Logistik Dan Bisnis Internasional
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

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Journal : Jurnal Teknik Industri Terintegrasi (JUTIN)

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Penerapan Metode Multiplicative Decomposition (Seasonal) Untuk Peramalan Produksi Al-Qur’an Fayaqun, Reza; Sumarna, Dani Leonidas; Sulistiyaningsih, Febriani
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 8 No. 3 (2025): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v8i3.49153

Abstract

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. 
Co-Authors Abiel Mahardhika Anggara Akbar, Weno Andi Nurhidayatul Islamiyah Asteria*, Jessica Glory Aulia Mubtadiatus Sholihah Charles Marsello Hersanto Darfial Guslan Dini Hamidin Dodi Permadi Dodi Permadi, Dodi Ekra Sanggala Erna Mulyati Fahriza, Irfan Fayaqun, Reza Febriani Sulistiyaningsih Febriani Sulistiyaningsih Mali, Sisilia Antonia Riyanti Muchamad Innal Kariem Muhammad Ardhya Bisma Muhammad Wahyu Ardi Nur Tri Ramadhanti Adiningrum Pramudita, Aditia Sovia Putratama, Virdiandry Rinita Diani Fitri Rolly Maulana Awangga, Rolly Maulana Sulistiyaningsih, Febriani Tamadara Hilman Thohir, Fakhruddin Fathulloh Yanuar, Amri