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All Journal JTH: Journal of Technology and Health
Anjas, Anjas Ari Irawan
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Health Professions Medicine & Pharmacology Nursing

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MOTO BELONG LOSJOYO PRODUCTION QUANTITY PREDICTION SYSTEM USING THE WEB BASED FUZZY TSUKAMOTO METHOD Anjas, Anjas Ari Irawan; Tri Hastono; Fahmi Azkarizal Astrian
JTH: Journal of Technology and Health Vol. 1 No. 3 (2024): January: JTH: Journal of Technology and Health
Publisher : CV. Fahr Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61677/jth.v2i1.125

Abstract

The Moto Belong Losjoyo factory currently still relies on estimates of production quantities without clear calculations and has not utilized computer technology to process production calculation data. Therefore, the use of the web-based Tsukamoto fuzzy method calculation system is expected to reduce losses due to mismatches in production quantities with market share. This research aims to help the Moto Belong Losjoyo factory in estimating daily production quantities in accordance with market needs. The test results using the Mean Absolute Percentage Error (MAPE) have shown that the system calculation accuracy level is 93.91%, with an error value of 6.09, confirming that the interpretation of the MAPE value shows a high level of accuracy.
Co-Authors Fahmi Azkarizal Astrian Tri Hastono