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All Journal NUTRIRE DIAITA Indonesian Journal of Business and Entrepreneurship (IJBE) JURNAL ILMIAH INFORMATIKA Gelanggang Olahraga: Jurnal Pendidikan Jasmani dan Olahraga (JPJO) JURNAL PENDIDIKAN TAMBUSAI Jurnal Kesehatan Terpadu (Integrated Health Journal)
Komariah, Lilis
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions Public Health Social Sciences

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Journal : JURNAL ILMIAH INFORMATIKA

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PENERAPAN ALGORITMA REGRESI LINIER BERGANDA UNTUK PREDIKSI STOK BARANG DI LABORATORIUM KLINIK PROLAB MEDIKA Komariah, Lilis; Arianto, Dede Brahma
JURNAL ILMIAH INFORMATIKA Vol 13 No 02 (2025): Jurnal Ilmiah Informatika (JIF)
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jif.v13i02.10666

Abstract

Manual stock management at Prolab Medika Clinical Laboratory often causes delays in reporting and potential errors in data recording. Accurate stock prediction is key to avoiding shortages or excess inventory that can disrupt laboratory operations. This research aims to develop a web-based stock prediction system using machine learning to improve inventory management efficiency. The machine learning method applied is Multiple Linear Regression with variables of incoming stock, remaining stock, and outgoing stock obtained from laboratory historical data. The research results show that the system is able to predict stock requirements with a good level of accuracy based on evaluation using Mean Absolute Percentage Error (MAPE), Mean Squared Error (MSE), and R² Score, and provides real-time reports that facilitate the head of logistics in decision making.
Co-Authors Alamsah, Untung Amrullah, Muhammad Erna Maulina haerani, Beti Inggriyani, Feby Isnaini, Nurlaela Jusat, Idrus M, Dindin M.Z. Margo Purnomo Nina, Siti Ma’ani NURLAELA NURLAELA Rahmat, Alit Ramadhan, Rega Reza Damayanti Shalihah, Afifah Yoyoh, Imas