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All Journal Jurnal Teknologi Informatika dan Komputer Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB SAINTEK
U. Darmanto Soer
Universitas Pelita Bangsa
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Journal : SAINTEK

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Analisis Sentimen Terhadap Pemerintahan Ridwan Kamil Sebagai Gubernur Jawa Barat Menggunakan Algoritma Naïve Bayes U. Darmanto Soer; Sutrisno Sutrisno
Prosiding Sains dan Teknologi Vol. 1 No. 1 (2022): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 1 - Juli 2022
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/SAINTEK0101.7782

Abstract

The use of social media in the era of globalization is very necessary for some circles including the regional leader, in the period of his tenure, Ridwan Kamil received various inputs and criticisms, and in this case the authors conducted research to analyze public sentiments towards the elected governor. And in this study the authors use the Naïve Bayes algorithm to classify sentiments and look for the preference values because the algorithm has a pretty good accuracy. From the results of tests conducted using cross validation techniques and accuracy measurements using confusion matrix with 10 times the best accuracy testing obtained was 84.38% and the positive response obtained from the calculation of preference value was 49%. Thus it can be concluded that the Naïve Bayes algorithm can be used to classify quite well and be able to measure the community's response to regional leaders. Keywords: Sentiment Analysis, Twitter, Naïve Bayes Classifier, Cross Validation, Preference Value
Co-Authors Endah Yaodah Kodratilah Nur Sodik Sifa Fauziah Sutrisno Sutrisno Uswatun Hasanah Wahyudi Wahyudi