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All Journal Jurnal Computech & Bisnis (e-Journal) Journal of Information Technology and Computer Science (JOINTECS) JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Ilmiah Matrik JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI INTECOMS: Journal of Information Technology and Computer Science JURNAL PENGABDIAN KEPADA MASYARAKAT Compiler Journal on Education Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Ainet : Jurnal Informatika Community Development Journal: Jurnal Pengabdian Masyarakat JURNAL PENDIDIKAN, SAINS DAN TEKNOLOGI Tematik : Jurnal Teknologi Informasi Komunikasi Journal of Intelligent Computing and Health Informatics (JICHI) JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Journal of Software Engineering, Information and Communication Technology Journal Of Human And Education (JAHE) Jurnal Komtekinfo
Fatman, Yenni
Universitas Islam Nusantara
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Public Health Social Sciences Other

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Journal : Journal of Intelligent Computing and Health Informatics (JICHI)

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A Linear Regression Model for Deploying a Cognitive Web for an Inventory Prediction System Fatman, Yenni; Majapahit, Sali Alas; Ramadhan, Muammar
Journal of Intelligent Computing & Health Informatics Vol 4, No 1 (2023): March
Publisher : Universitas Muhammadiyah Semarang Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jichi.v4i1.11258

Abstract

Inventory management plays a crucial role in the sales system as it indirectly impacts customer satisfaction. Inaccurate determination of the quantity of goods to be purchased often leads to unstable stock circulation in the warehouse. The numerous factors influencing procurement decisions pose challenges for managers. Several initiatives have been undertaken to maintain optimal stock levels to ensure availability when required. In this study, we developed a linear regression model to estimate the inventory for the upcoming one-month period. The selection of linear regression was motivated by its ability to forecast future trends. The research involved creating a web application that utilized sales data from the previous six months, focusing on examples of products sold in a store. The objective of the application is to assist store owners in making informed decisions regarding stock replenishment for the next period. By doing so, they can fulfill customer demands without excessive inventory accumulation, while considering the limitations of storage capacity. 
Co-Authors Afifah Nurul Syifa Ahmad Irfan Ai Risma Azizah Alya Ningrum Annisa Fitri Utami Bambang Sugiarto Deri, Rahmi Rismayani Deris Septian Dina Marlisa Putri Eka Amelia Erlianti, Raihan Fawzan Nurshehha Febiana Fajrin Salim Hafizh Abdullah Fadlurohman Hapsari, Nani Sarah Haryati Ona Farisa Imas Siti Rahmah Indawati Sriayu Abdullah Inra Noorahman Ipon Sarif Hidayat Iqbal Maulana Al Fikri Isbandi Isbandi Isbandi Isbandi Islamiyati Islamiyati Iwan Satriyo Nugroho Jihan Dzakiyyah Azhari Juniawan Rizky Firdaus Laila Nur Majapahit, Sali Alas Mochamad Jejen Jaelani Muammar Ramadhan, Muammar Muhamad Rhamdhan Mardiansyah Muhammad Luthfi Ramadhan Nadaa Khoirun Nafisah Nani Sarah Hapsari Nisrina Ika Anadhiya Pramudia, Dishanubari Pugud Bendoro Jembar Pambudi Pujawati Pujawati Rafika Ratik Srimurni Rahmini Rahmini Ramadinawati, Gisela Renova Octaviawati Ricky Roseptry Rodianti Rodianti Siti Nur Soecipto Soecipto