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Ika Ima Nisa
Universitas Putra Indonesia YPTK Padang
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology

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Decision Support System Classifying Soybean Quality with Simple Additive Weighting Method Ika Ima Nisa
Journal of Computer Scine and Information Technology Volume 8 Issue 4 (2022): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v8i4.50

Abstract

Tempe A-Zaki Padang is one of the developing tempe industries in the city of Padang and wants to maintain the quality and safety of the products it produces. Problems that exist in the current system, such as separating intact soybeans, damaged soybeans, and wrinkled soybeans by sorting/separating them using the manual method will require quite a bit of time, in addition to using the manual method it will also require labor force is quite a lot and the costs incurred are relatively large. To overcome these problems, this study aims to build a decision support system (DSS) by applying the Simple Additive Weighting (SAW) method. The SAW method is a calculation method that is carried out by determining alternatives where each alternative will be assessed based on predetermined criteria and has been given a weight on each criterion assessment. The SAW method will help find the weighted sum of the performance ratings for each alternative on all attributes. This decision support system is web-based using the PHP programming language and MySQL database. The results of this study showed that green soybeans had the highest utility value, namely 0.8525, with these results making it easier for the Tempe A-zaki Padang House to classify quality soybeans.
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