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All Journal Journal of Electrical, Electronic, Information, and Communication Technology (JEEICT)
Dimas Rossiawan Hendra Putra
State Polytechnic of Malang
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Indonesia Democracy Index (IDI) Forecasting in 2019 using Moving Average and Correlation Between IDI's Aspect Using Pearson Correlation Coefficient Faisal Rahutomo; Dimas Rossiawan Hendra Putra; M Bisri Musthofa; Ngat mari
Journal of Electrical, Electronic, Information, and Communication Technology Vol 2, No 2 (2020): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.2.2.41361

Abstract

Abstract—This experiment aims to analyze the forecasting of the Indonesian Democracy Index (IDI) in 2019, which uses each province data by the Moving Average method. The parameters used in this experiment refer to data obtained from the Central Statistics Agency (BPS) in 2009-2018. The level of achievement of IDI is measured based on the development and implementation of 3 aspects, 11 variables, and 28 indicators. Experiment purposes to find the average percentage of absolute error MAPE (Mean Absolute Percentage Error) for each province and looks for correlations between the three main aspects of forming IDI namely civil liberties, political rights, and democratic institutions. IDI Indonesia's forecasting results in 2019 the IDI has an average value of 68.28 with a MAPE of 4.78%. The results of the correlation between the three aspects of forming the IDI using the Pearson correlation coefficient resulted in the aspect of civil liberties having no correlation with aspects of political rights or aspects of democratic institutions with Pearson values of -0.05 and -0.19. Whereas aspects of political rights correlate with democratic institutions with Pearson's value of 0.48.Keywords—Forecasting, Indonesian Democracy Index, Moving Average. Pearson Correlation Coefficient
Co-Authors Faisal Rahutomo M Bisri Musthofa Ngat mari