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Kevin Jeremy Manurip
Fakultas Teknologi Informasi, Universitas Advent Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Languange, Linguistic, Communication & Media

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ANALISIS SENTIMEN TOKOH PUBLIK MENGGUNAKAN METODE NAÏVE BAYESIAN CLASSIFICATION PADA APLIKASI TWITTER Yusran Timur Samuel; Kevin Jeremy Manurip
TeIKa Vol 7 No 1 (2017): TeIKa : April 2017
Publisher : Fakultas Teknologi Informasi - Universitas Advent Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36342/teika.v7i1.2218

Abstract

Social media has provided a variety of information, especially content that is subjective or reflects the opinions of people who write. Today more and more people express their opinions or opinions on community leaders such as regional leaders, officials, influential people, and so on. Social media has provided a variety of information, especially content that is subjective or reflects the opinions of people who write. Today more and more people express their opinions or opinions on community leaders such as regional leaders, officials, influential people, and so on. Sentiment analysis on the Twitter social media application there are weaknesses in the words contained in the sentence uploaded by the application user. In this case the object of the research was carried out to Ridwan Kamil with Sentiment Analysis from the people. Based on the research conducted, it was concluded that 59 training data had an accuracy of 81.3559%, and the results obtained from testing data were: 1. There were 3 data that were truly classified as having neutral sentiments, 2. There were 7 data classified really have positive sentiment, 3. And there are 2 data that really have negative sentiment.
Analisis Sentimen Pemilihan Gubernur Jawa Barat Tahun 2018 Dengan Aplikasi Twitter Menggunakan Metode Naïve Bayesian Classification Yusran Tarihoran; Kevin Jeremy Manurip
TeIKa Vol 8 No 1 (2018): TeIKa : April 2018
Publisher : Fakultas Teknologi Informasi - Universitas Advent Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36342/teika.v8i1.2243

Abstract

Elections on West Java Governor 2018 are busy discussed in the real world and cyberspace, especially in social media Twitter. Everyone is free to argue about the candidate of West Java Governor 2018 that raises many opinions, not only positive or neutral opinion, but also negative opinion. Nowadays, social media especially Twitter is one of the place to promote or to campaign effectively and efficiently to increase supporters interest. In this case researchers will conduct research on one of the public figures who run for governor elections West Java. The research method used in this research is the Naïve Bayesian Classifer Classification algorithm. The data used is an Indonesian tweet with the keyword Ridwan Kamil (#RidwanKamil) as much as 1031 data tweet every day starting from January 15, 2018 to April 15, 2018. Results from the classification using the Naïve Bayesian Classifier algorithm obtained 690 number of tweets or 67% all data tweets that support Mr. Ridwan Kamil or are positive especially on the work program that will be done and this provides a probability statistics of 73.13% accuracy level Correctly Classified Instances.
Co-Authors Yusran Timur Samuel