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All Journal Sistemasi: Jurnal Sistem Informasi JURNAL MEDIA INFORMATIKA BUDIDARMA JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI J I M P - Jurnal Informatika Merdeka Pasuruan JURNAL TEKNOLOGI DAN OPEN SOURCE JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Building of Informatics, Technology and Science Aisyah Journal Of Informatics and Electrical Engineering Jurnal Teknik Informatika (JUTIF) Jutsi: Jurnal Teknologi dan Sistem Informasi J-Com (Journal of Computer)
Iqbal Kamil Siregar
Sekolah Tinggi Manajemen Informatika Dan Komputer Royal
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Social Sciences

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Journal : Sistemasi: Jurnal Sistem Informasi

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Application of the Trend Moment Method to Predict Shoes Sales Gilang Nugroho Syahputra Jarod; Iqbal Kamil Siregar; Endra Saputra
Sistemasi: Jurnal Sistem Informasi Vol 12, No 2 (2023): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v12i2.2781

Abstract

The N+2 Fashion store is engaged in selling trend shoes which is located in Air Batu City. Activities in the N+2 Fashion Store include ordering and selling trending shoes. Checking the supply of trending shoes is done by checking them one by one, of course this will make it very difficult for employees to estimate the number of trend shoes they want to order from each trending type of shoe. The large number of trend shoe brands is an obstacle in carrying out business processes which results in wrong prices for these trend shoes. In predicting trend shoes must ensure the sales process, minimize costs and time required. The problem faced by the N+2 Fashion Store is the difficulty in predicting the number of items that must be available for the next period in order to meet customer needs and not cause a buildup of goods in the long term. To overcome this problem, predictions are made using the trend moment method which is a forecasting method used to see trends (data that have increased) based on historical data from one variable using time series data. The results of the research obtained a prediction that in September 2022 there would be 9 pcs of Adidas shoes sold with a MAPE error rate of 16.33%.
Co-Authors Ade Dili Lestari Akmal Akmal Ali Djamhuri Annisa Sitorus Bachtiar Efendi Cecep Maulana Chitra, Latiffani Cici Paramita Panjaitan Dani Bancin Dewi Maharani Eliya Yuliana Endra Saputra Faisal Taufik Gilang Nugroho Syahputra Jarod Herman Saputra Ihsanul Fikri Iin Almeina Lubis Jhonson Efendi Hutagalung Juan Veron Christian L Sirait Marthin Martunas Sihotang Masitah Handayani Mhd. Ihsan Muhammad Ilyas Nst Nasution, Akmal Nurainun Ritonga Nurkarim Nehe Patmawati Patmawati Putri Melati Putri Vina Bancin Ragil Monicha Winahyu Rahayu, Elly Renanda Eka Putri Rika Nofitri Rindi Sindia Samsul Haq Santoso Santoso Santoso Santoso Sri Kartika Hasibuan Sri Nurainun Siahaan Sri Wahyuni Sudarmin Sudarmin Yogi Pratama