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Anief Fauzan Rozi, Anief Fauzan
Universitas Mercu Buana Yogyakarta
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Journal : Jurnal Sains dan Teknologi

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Implementasi Data Mining Untuk Prediksi Peramalan Penjualan Produk Hj Karpet Menggunakan Metode Linear Regression Athallah, Muhamad Reza; Rozi, Anief Fauzan
Jurnal Sains dan Teknologi (JSIT) Vol. 2 No. 3 (2022): September - Desember
Publisher : CV. Information Technology Training Center - Indonesia (ITTC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jsit.v2i3.550

Abstract

HJ Karpet is a business engaged in commerce that sells a variety of carpet types and where inventory is crucial. The problem that HJ Karpet has always faced is an abundance of carpet inventory or overstock. Forecasting with the linear regression method is the solution for assisting with stock planning. Forecasting is the process of calculating future values using historical information. This study used linear regression to calculate and design the system, which was then implemented as a system. This study's objective is to forecast sales of HJ Karpet products using historical sales data provided by HJ Karpet for the purpose of generating a sales forecast. This study resulted in the development of a sales forecasting system that will be used to provide stock planning recommendations for the subsequent months. The results of the manual calculation using the linear regression equation predict a value of 52,093 for January 2023 with an error MAPE (mean absolute percentage error) calculation value of 5,667205%, indicating that the results of the regression-based forecasting model have a high degree of accuracy.
Sistem Pendukung Keputusan Rekomendasi Supplier Bahan Baku Kerupuk Rambak Tapioka Terbaik Menggunakan Metode Evaluation Based On Distance From Average Solution (EDAS) Prayitno, Heru; Rozi, Anief Fauzan
Jurnal Sains dan Teknologi (JSIT) Vol. 2 No. 3 (2022): September - Desember
Publisher : CV. Information Technology Training Center - Indonesia (ITTC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jsit.v3i1.581

Abstract

Kerupuk (Crackers ) are one of the specialties of the Indonesian people and are well-known by all social classes, from the lower to the upper middle classes. Most Indonesians consume crackers because they are delicious and can be consumed with any meal. This resulted in the proliferation of cracker manufacturers in Indonesia, not only producing a single type of cracker but also a variety of crackers whose flavor and ingredients were adapted to the palate of the Indonesian people. Crackers made from leather or Rambak crackers are well-known among the general population. Rambak crackers are not significantly distinct from other types of crackers. The difference is in the ingredients. Rambak crackers are made from various ingredients, including cow, buffalo, rabbit, chicken, fish, tapioca flour, and flour. In making these Rambak crackers, however, cowhide is typically employed. Cow leather is one of the products of the livestock sector, which, according to the Central Statistics Agency of Jember Regency, produced 11,287 pieces of leather in 2019. This demonstrates that Rambak tapioca cracker ingredients are not readily available on the market. Consequently, a Decision Support System (DSS) is a system that can provide problem-solving and communication capabilities in semi-structured and unstructured environments. Positive Distance from Average (PDA) and Negative Distance from Average (NDA) are the two distance measures used in the Evaluation Based on the Distance from Average Solution (EDAS) method. The best alternative will be the one with the highest PDA value and the lowest NDA. Based on the User Acceptance Test (UAT) results of the system, which the Wanteyan Home Industry well received, this decision support system yields 5%.
Co-Authors Athallah, Muhamad Reza Audita Nuvriasari Azizah, Nailatul Burrhanuddin, Nafi' Ikhsan Febriyanti, Natasya Fitri, Ichlasia Ainul Heru Prayitno Manik, Tessa Monika Manurung, Vanni Munandar, Annisa Nurfitri Rida Saputra, Irfan Juliardi Titik Desi Harsoyo, Titik Desi Turnip, Erdina Wibowo, Rizki Widodo, Arief Setyo