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Journal : TEKNIK INFORMATIKA

MULTI-LAYER INFERENCE FUZZY TSUKAMOTO DETERMINING LAND SUITABILITY CLASS OF COCOA PLANTS Iin Intan Uljanah; Shofwatul Uyun
JURNAL TEKNIK INFORMATIKA Vol 14, No 1 (2021): JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v14i1.13616

Abstract

Determining the land suitability class of plants specifically cocoa (Theobroma cacao) is significant to do because each plant has a different characteristic of growth. This research aims at implementing the algorithm to determine the land suitability class of cocoa plants using the Multi-Layer Inference Fuzzy Tsukamoto (MLIFT). This research uses 18 input variables including 15 non-linguistic variables or crisp and the rest are linguistic ones or fuzzy as the data of growth requirements of cocoa plants. Generally, the algorithm used consists of three main steps those are fuzzification, Tsukamoto inference machine, and defuzzification consisting of three layers. The first layer covers seven inference engines, while each of the second and the third ones only consists of one inference engine. The concept of inference process in Fuzzy Tsukamoto is calculating the weighted average of each result of the  nference process. Based on the testing result, it can be concluded that the multi-layer inference Fuzzy Tsukamoto for determining the land suitability class of cocoa plants has an accuracy level amounted 97%.
SISTEM INFERENSI FUZZY MAMDANI UNTUK PENGHITUNGAN BONUS KARYAWAN PT. ABC Sherly Andini; Maria Ulfah Siregar; Shofwatul Uyun; Nurochman Nurochman
JURNAL TEKNIK INFORMATIKA Vol 14, No 2 (2021): JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v14i2.14180

Abstract

A bonus in a company is an appreciation of the company for its employees for their dedication to work. Giving the bonus is sometimes prone to subjektives, not relevant to work pertformance, and etc. This is also impelemented in PT. ABC, which rewards employees for their performance. The calculation of employee bonuses at PT. ABC still uses spreadsheet tool so that the results of calculating employee bonuses tend to be subjective and be human error in inputting complex formula. Therefore, to get the suitable employee bonus calculation results, PT. ABC requires a specific computer system for the employee bonus calculation. This research uses Fuzzy Inference System Mamdani method because Mamdani method is often used for fuzzy logic control problems and is accordance with the process of input of human information. In Mamdani method, there are four stages, namely the formation of fuzzy sets, application of implications function, composition of rules and defuzzyfication. Our Mamdani method was designed upon 27 rules which is likely adding complexity and temptation on human. Calculations on a system are tidier and more structureable rather than on spreadsheet tool. The system which is based on web could run almost everywhere as long as there is internet connection. The results of this study indicate that computer calculations result the same as manual calculations by hand. Functionality testing show that the system is functioning 100% and the system access test shows that 60% of respondents strongly agree and 40% of respondents agree with the ease of the system.