Sentiment Analysis to Identify Public Opinion for Zakat Implementation in Indonesia Using Machine Learning Algorithms

Sri Redjeki; Setyawan Widyarto

Sri Redjeki Informatics Department, Indonesia Digital Technology University
Setyawan Widyarto Centre for Graduate Studies (CGS), Universiti Selangor https://orcid.org/0000-0002-6317-9875

Keywords: Machine Learning, Opinion, Sentiment Analysis, Twitter, Zakat

Abstract

This research aims to explore and identify public opinion related to Zakat in Indonesia by utilizing big data technology through sentiment analysis. The source of Twitter’s social media public opinion data is used in the research. Proper keywords need to be determined before crawling Twitter data collections. The Twitter data collected in the research was 1060 Twit at the beginning of the year 2020. Indonesian community opinion identification, a part of the machine learning method, was a method used in training and testing data requirements. Opinions are classified into 3 classes i.e. positive, neutral and negative. The identification shows that the Random Forest Classifier method and the Naïve Bayes method provide an accuracy value of 86% and 81%. While the method that produces the lowest accuracy is the Support Vector Machine method of 53%. The accuracy results show that the sentiment of analysis can be used as an "early warning system" for the decision-makers of Zakat in Indonesia.

Author Biography

Setyawan Widyarto, Centre for Graduate Studies (CGS), Universiti Selangor

Setyawan Widyarto was born in Purwokerto, Central Java, Indonesia in 1963. He received first degree from IPB Bogor in 1986 and M.Sc. degrees in Manufacturing System Engineering and Management from University of Bradford (UK) under Chevening Awards (British Council) in 1998. In 2008 he finished his Ph.D. degree in Computer Science from University Teknologi Malaysia and joined University Selangor (Unisel). Since 2012, he has been an Associate Professor with the Computing Department, Unisel Bestari Jaya, Kuala Selangor. He has more than 30 years working experience in industries and academics. He is an editor member and chief editor some journals.

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