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Fuzzyfication Optimization of Crude Cassava Starch Processing into Tapioca Flour with the Mamdani Approach Bintang Aprilio; Fionando Emir Satriadana; Muhamad Raihan Afarel Nadji Baraba; Nourma Ayuadika; Refiansyah Nur; Sesar Husen Santosa; Muhammad Danang Mukti Darmawan; Nanda Octavia
Journal of Applied Science, Technology & Humanities | JASTH Vol. 1 No. 5 (2024): November 2024
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/d1kss748

Abstract

The purpose of this research is to improve the effectiveness of tapioca flour production by using a fuzzy logic system. The system accepts three variables, namely raw materials, color, and aroma, and produces an output in the form of a percentage of the quality of tapioca flour produced. Fuzzy rules are created based on expert knowledge and experimental data after the input data is converted into fuzzy values. MATLAB software is used to implement the fuzzy system. Furthermore, the simulation results were analyzed to find the best conditions for producing tapioca flour with high quality. The results show that the fuzzy system successfully produces an output that reflects the quality percentage of tapioca flour. However, to gain a more complete understanding, it is necessary to further analyze the components that affect production quality, and there may be better ways to customize the fuzzy rules.
Implementation of Fuzzy Logic Mamdani in Determining Employee Job Appraisal of PT Exclusive Panca Anugerah Using Matlab Lutfi Aziz Febrika Ardy; Aqim Try Kurnia; Keinanjung Ruswandi; Muhammad Al-Ghifari; Muhamad Zikri Abdillah; Vina Puspitasari; Muhammad Danang Mukti Darmawan; Nanda Octavia; Sesar Husen Santosa
Journal of Applied Science, Technology & Humanities | JASTH Vol. 1 No. 4 (2024): September 2024
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/bqt5bb31

Abstract

Human resources are one of the important components of a company. With good employee performance, it can be interpreted that the system in the company is also running well. This method utilizes attendance and performance variables to assess the employee. This journal aims to see and monitor how an employee's performance in a company is working optimally or not. It uses the implementation of fuzzy logic Mamdani as a proof model, coupled with the Matlab application toolbox that allows evaluation and assessment of performance according to the existing scenario. The results of this experiment show the effectiveness of providing accurate scores and can also help management to make more informed decisions