Journal of Research in Mathematics Trends and Technology
Vol. 5 No. 2 (2023): Journal of Research in Mathematics Trends and Technology (JoRMTT)

Comparison of Tsukamoto and Mamdani Methods for Forecasting Rice Production in North Sumatra for 2024

Dewi, Enita (Unknown)
Nababan, Meni Nurmasita (Unknown)
Manik, Vepita Vemka (Unknown)
Panggabean, Theresia Defi Lasmaria (Unknown)

Article Info

Publish Date
30 Sep 2023

Abstract

The application of the Tsukamoto and Mamdani methods is widely used in predicting an object based on the objective function to be achieved. This study compares both methods for determining rice production to identify the best method for prediction processes based on error values or forecasting accuracy levels. In predicting rice production, fuzzification and defuzzification stages occur. Actual data that is vague is processed into crisp numbers. Based on the calculation of error values or forecasting accuracy results for each method, the Mean Absolute Percentage Error (MAPE) value for the Mamdani method is 30% and the Tsukamoto method is 22%. Therefore, the forecasting system using the Tsukamoto method is sufficiently effective to predict production results

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Journal Info
Journal of Research in Mathematics Trends and Technology
Website

Abbrev

jormtt

Publisher

Universitas Sumatera Utara

Subject

Decision Sciences, Operations Research & Management Mathematics

Description

JoRMTT is an international blind peer-review journal dedicated to interchange for the results of research in mathematical sciences and related fields. The journal publishes papers in fundamental theory, experiments and simulation, as well as applications, with a systematic proposed method, ...