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All Journal IJISTECH (International Journal Of Information System & Technology) Jurnal Statistika dan Matematika (Statmat) REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Jurnal Digit : Digital of Information Technology IJISTECH Industrial Research Workshop and National Seminar International Journal of Trends in Mathematics Education Research (IJTMER)
Endang Habinuddin
Politeknik Negeri Bandung
Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Social Sciences Other

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Journal : IJISTECH

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Comparison of Fuzzy Time Series and Double Smoothing Holt Methods for Rainfall Forecasting Endang Habinuddin; Euis Sartika; Neneng Nuryati
IJISTECH (International Journal of Information System and Technology) Vol 6, No 3 (2022): October
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v6i3.243

Abstract

This research aims to compare the time series forecasting method, namely the Fuzzy Time Series method, with Double Exponential Smoothing Holt. The data used in this study is the rainfall data of the city of Bandung every month from January 2012 to December 2021. The analysis of the two methods is seen for accuracy according to the measure of error, namely MSE (Mean Square Error) and MAD (Mean Absolute Deviation). The results show that the Fuzzy Time Series method has MSE of 15558.89 and MAD of 108.97. While the Doube Smoothing Holt method has MSE of 23367.79 and MA of 115.94 So the Fuzzy Time Series method is reliable to use for forecasting rainfall in Bandung because the error values is lower than that of the Exponential Smoothing Holt.
Fuzzy Logic Controller Implementation for Motor DC Control Position With Real-Time Operating System M Martin; Dodi Budiman Margana; Endang Habinuddin
IJISTECH (International Journal of Information System and Technology) Vol 6, No 5 (2023): February
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v6i5.283

Abstract

A fuzzy Logic Controller (FLC) is a control system that expresses in linguistics, there are several ways to defuzzification such as Sugeno. This paper proposes FLC to control the Motor DC Module position within -180 to 180 degrees using Real-Time Operating System (RTOS) running in the microcontroller. The FLC design based on input errors and changes of errors get from the feedback module, and defuzzification uses Sugeno rules. The FLC design simulates in the simulator program with the motor dc ideal model to show the output response transient. Experimental is done by using step input and variable inputs, step input is used to calculate the output response transient, and variable input to show the reliability of the control scheme. The output response shows that the motor DC control position has 0% of overshoot, 0.9 seconds of settling time, and 2.7769 rise time from position -80 to 0. The FLC success controls the position motor, and RTOS can be implemented in a microcontroller based on ATMega 2560 series.
Co-Authors Agus Binarto Budi Setiadi Dodi Budiman Margana Euis Sartika Ida Suhartini Irfani Azis Lusiani, Anie Martin Martin Neneng Nuryati S, Waway Qodratulloh Siti Syamsiah Purwaningsih Sudrajat Sudrajat Supriyanto Suhono Toto Tohir Zulkifli Arsyad