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All Journal jurnal niara QALAMUNA: Jurnal Pendidikan, Sosial, dan Agama Indonesian Journal of Artificial Intelligence and Data Mining JURNAL ILMIAH EDUKATIF Sosfilkom : Jurnal Sosial, Filsafat dan Komunikasi Journal of Social Work and Science Education
Sulistiani, Indah
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Religion Arts Humanities Computer Science & IT Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Social Sciences

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Journal : Indonesian Journal of Artificial Intelligence and Data Mining

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Clothing Inventory Forecasting System at Kagas Using the Weighted Moving Average Method Sulistiani, Indah; Sembiring, Muhammad Ardiansyah; Akmal, Akmal
Indonesian Journal of Artificial Intelligence and Data Mining Vol 8, No 1 (2025): March 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v8i1.31498

Abstract

Information systems are made in stores so that they can easily process data and produce the information needed quickly, accurately, precisely, effectively and efficiently in spending costs. Kagas is a clothing store engaged in fashion that has been established since 2020. The purpose of this study is to apply the Weighted Moving Average method to the forecasting system in determining sales of robe clothes.  The results of calculating the stock of gamis clothes manually and calculating using a forecasting system using the previous year's data from May 2023 to April 2024 are the same. Forecasting of gamis clothes for the May 2024 period is 175 with a MAD value of 8.04, an MSE value of 135.33 and a MAPE value of 4.7%. With a forecasting system using the weight moving average method, it makes it easier for Toko Kagas to forecast the stock of gamis clothes inventory in the following month.
Co-Authors Akmal Akmal Era Purike Firanti, Dinda Ayu Hermansyah Hermansyah Larasati Putri, Maulina Loso Judijanto M, Miswan Marisa Puspita Sary Marzuki Muhammad Ardiansyah Sembiring Muhammad Idris Novia Nelza Nugrahaeni Prananingrum, Elisabeth Puspita Sary, Marisa Putri, K. Y.S. Rebecca Evelyn Laiya Sudrajat, Didi SUTJIPTO, VERA WIJAYANTI Umul Khasanah