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All Journal Agrokreatif Jurnal Ilmiah Pengabdian kepada Masyarakat Jurnal SOLMA SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan IJEMS (Indonesian Journal of Environmental Management and Sustainability) Media Ilmiah Teknik Lingkungan MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Jurnal Teknik Industri Terintegrasi (JUTIN) Industrika : Jurnal Ilmiah Teknik Industri Jurnal Pijar MIPA
Nisah, Firda Ainun
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Journal : Jurnal Teknik Industri Terintegrasi (JUTIN)

 1 
Analisis Peramalan Demand Produk RBL dengan Metode Double Exponensial Smoothing, Moving Avarage, dan Regresi Linear di PT Seiwa Indonesia Azizah, Nada Nishi; Nisah, Firda Ainun
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 7 No. 1 (2024): January
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v7i1.24763

Abstract

Based on historical data on the number of product requests and products produced in the January 2021-December 2022 period, there is a considerable discrepancy. Therefore to be able to predict demand in one or several subsequent periods based on past product demand data, the researcher conducts a forecasting analysis using the double exponential smoothing, moving average, and linear regression methods to find out the most accurate forecasting method to use. Based on the calculation results, it can be concluded that the most appropriate Forecasting method is the linear regression method because it has the lowest MSE value of 1,346,936,387. It is hoped that it will be able to assist PT Seiwa Indonesia in providing future stocks of RBL products in more accurate manner so as to reduce losses due to excessive production.
Implementasi Metode Moving Average dan Regresi Linier pada Peramalan Permintaan Mie di PT XYZ Setyawati, Maria Angela Putri; Nisah, Firda Ainun
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 7 No. 2 (2024): April
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v7i2.26749

Abstract

PT XYZ is a company operating in the food industry. The company produces various kinds of food, such as biscuits, wafers, vermicelli and noodles. Noodle products are the most popular products, and there are often significant changes in each period. This causes fluctuations and results in uncontrolled inventory. PT XYZ can avoid this problem if it has a way to estimate noodle demand. Forecasting is a planning method for estimating products in the future. The moving average and linear regression methods are the methods used in this research. Based on the results of the calculations carried out, the method chosen is the linear regression method because the smallest Mean Squared Error (MSE) value is 620370900 and the tracking signal results from the linear regression method are close to zero. The results of forecasting the need for noodle products for the next period were 169,524 pcs. It is hoped that the results of this forecasting can help PT XYZ in carrying out production planning. 
Co-Authors Adien, Aisyah Nurfadillah Adzillah, Wilma Nurrul Azhari, Hafiz Azizah, Nada Nishi Azizie, Yona Tasya Febrian, Faris Diaztu Febriyani, Putri Fransisca Debora Ganap, Jimmy Greei Mubarok, Yoga Ulya Neneng Winarsih Ramadhan, Muhammad Ragil Ratnawati, Kania Safariyani, Eva Sena, Mochamad Rafi Setyawati, Maria Angela Putri Simanjorang, Arristo Pancis Suci, Farradina Choria Umi Nuraini, Umi Wahid, Taufik Nur Wahyudin Wahyudin