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All Journal JURNAL SISTEM INFORMASI BISNIS Jurnal Teknoif Teknik Informatika Institut Teknologi Padang
Sholihah, Debi Nabilah
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance

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IMPLEMENTASI FUZZY TSUKAMOTO DALAM SISTEM PREDIKSI PANEN PADI DI KABUPATEN INDRAMAYU Farismana, Riyan; Sholihah, Debi Nabilah; Pramadhana, Dian; Lena, Sonty
Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Vol 12 No 2 (2024): TEKNOIF OKTOBER 2024
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtif.2024.V12.2.100-110

Abstract

Strategic efforts to maintain rice production, which is the staple food of the Indonesian people, must continue to be carried out, one of which is maintaining production in rice-producing areas such as Indramayu Regency is a step that must be prioritized. Knowing the prediction of the upcoming rice harvest is the right effort to make. Fuzzy Tsukamoto logic is a method that can be used as a calculation to make predictions, the selection of fuzzy Tsukamoto is due to its ability to predict with factors that have uncertainty such as rainfall, in addition, land area and harvest yields can also be used as variables to obtain predictions through fuzzy Tsukamoto. This study was conducted to implement fuzzy Tsukamoto for predicting rice harvest yields, where the results of the fuzzy Tsukamoto logic process that have been carried out produce six rules at the inference stage in the category of increasing or decreasing harvests, which are used as the basis for the defuzzification process to find the output value of the harvest. The calculation results are then applied in a website-based system using the Laravel framework and MySql DBMS so that they can be used to predict rice harvest yields. Based on the prediction process carried out through a system based on the fuzzy Tsukamoto method, out of 31 sub-districts, 16 sub-districts have the potential to experience a decline, and 15 sub-districts have experienced an increase in rice harvest production in Indramayu Regency.
Harvest Data Processing Information System for Rice Productivity Prediction in Indramayu Regency Farismana, Riyan; Sholihah, Debi Nabilah; Lena, Sonty
Jurnal Sistem Informasi Bisnis Vol 15, No 2 (2025): Volume 15 Number 2 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss2pp191-197

Abstract

Rice plants that are processed into rice are the staple food of the Indonesian people, and the lack of rice production will have an impact on weakening national food security. Efforts that can be made are to process harvest data in national rice barn areas such as Indramayu Regency properly. So far, there are still many errors and differences in harvest data both by agencies and original data in the field. Differences in data cause inaccurate harvest data to be used as a reference for policies or to see the potential of rice in Indramayu. This study aims to build a website-based data processing information system so that it can be accessed and managed by agricultural officers in all sub-districts in Indramayu, and the agricultural service as admin, so that the data produced is accurate data and provides predictions of harvest results, and makes predictions of future harvests based on harvest data, land area and rainfall that affect the rice harvest in Indramayu using fuzzy tsukamoto. From the predictions made, there are 16 sub-districts that have the potential to experience a decrease in harvest from 31 sub-districts in Indramayu. This information system also displays harvest data and graphs based on year and sub-district in Indramayu so that the increase or decrease in harvest in previous years can be seen compared to predictions for the coming year.
IMPLEMENTASI FUZZY TSUKAMOTO DALAM SISTEM PREDIKSI PANEN PADI DI KABUPATEN INDRAMAYU Sholihah, Debi Nabilah; Pramadhana, Dian; Lena, Sonty; Farismana, Riyan
Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Vol 12 No 2 (2024): TEKNOIF OKTOBER 2024
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtif.2024.V12.2.100-110

Abstract

Strategic efforts to maintain rice production, which is the staple food of the Indonesian people, must continue to be carried out, one of which is maintaining production in rice-producing areas such as Indramayu Regency is a step that must be prioritized. Knowing the prediction of the upcoming rice harvest is the right effort to make. Fuzzy Tsukamoto logic is a method that can be used as a calculation to make predictions, the selection of fuzzy Tsukamoto is due to its ability to predict with factors that have uncertainty such as rainfall, in addition, land area and harvest yields can also be used as variables to obtain predictions through fuzzy Tsukamoto. This study was conducted to implement fuzzy Tsukamoto for predicting rice harvest yields, where the results of the fuzzy Tsukamoto logic process that have been carried out produce six rules at the inference stage in the category of increasing or decreasing harvests, which are used as the basis for the defuzzification process to find the output value of the harvest. The calculation results are then applied in a website-based system using the Laravel framework and MySql DBMS so that they can be used to predict rice harvest yields. Based on the prediction process carried out through a system based on the fuzzy Tsukamoto method, out of 31 sub-districts, 16 sub-districts have the potential to experience a decline, and 15 sub-districts have experienced an increase in rice harvest production in Indramayu Regency.
Co-Authors Farismana, Riyan Lena, Sonty Pramadhana, Dian