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All Journal Jurnal Pendidikan Agama Islam IJID (International Journal on Informatics for Development)
Anatansyah Ayomi Anandari
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Computer Science & IT Education

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Journal : IJID (International Journal on Informatics for Development)

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Fourier Series Nonparametric Regression Modeling in the Case of Rainfall in West Java Province Anatansyah Ayomi Anandari; Supandi, Epha Diana; Musthofa, Muhammad Wakhid
IJID (International Journal on Informatics for Development) Vol. 11 No. 1 (2022): IJID June
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2022.3300

Abstract

The Fourier series is a trigonometric polynomial that has flexibility, so it adapts effectively to the local nature of the data. This Fourier series estimator is generally used when the data used is investigated for unknown patterns and there is a tendency for seasonal patterns. This study aims to determine the results of the best Fourier series nonparametric regression model and the level of accuracy of the Fourier series nonparametric regression model on rainfall data by month in West Java Province in 2015-2019. This research is about a nonparametric regression model of Fourier series which is estimated using Ordinary Least Square method. Nonparametric regression using the Fourier series approach was applied to Rainfall data in West Java Province in 2015-2019. The independent variables used were the average air humidity, air pressure, wind speed, and air temperature. The model used to model the amount of rainfall in West Java Province is a nonparametric Fourier series. The nonparametric regression model is the best Fourier series with K =13 values obtained Generalized Cross Validation, Mean Square Error, and R2 respectively at 549.92; 462.09; and 97.30%. The results showed that the variables of air humidity and air pressure had a significant effect on rainfall.
Mathematical Modeling to Measure the Level of Terrorism Deradicalization Effectiveness Anatansyah Ayomi Anandari
IJID (International Journal on Informatics for Development) Vol. 11 No. 1 (2022): IJID June
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2022.3777

Abstract

The general aim of deradicalization is to make terrorists or groups of perpetrators of violence willing to leave or break away from acts and activities of terrorism. The method in this study is quantitative-descriptive which will provide mathematical modelling to calculate the number of terrorist prisoners in Indonesia that have been successfully handled by the National Counter-Terrorism Agency (Badan Nasional Penanggulangan Terorisme) through a deradicalization program. The purpose of this study is to determine the effectiveness of the deradicalization program of the National Counter-Terrorism Agency in reducing the number of terrorist prisoners in Indonesia. The deradicalization program carried out by the government through the National Counter-Terrorism Agency aims to neutralize the ideological foundations of both militant and radical groups. The deradicalization used by the BNPT is the formula currently being implemented to deal with the threat of terrorism and also those related to radical groups. The mathematical model for terrorist deradicalization efforts by the National Counter-Terrorism Agency is  (dN(t))/dt=T-E-kN(t)-pN(t)-lN(t) .
Co-Authors Dwi Afriyanto Epha Diana Supandi Muhammad Wakhid Musthofa