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All Journal Jurnal Ilmiah Teknologi Informasi Asia Journal of Judicial Review
Adi Kusuma
Unknown Affiliation
Computer Science & IT Law, Crime, Criminology & Criminal Justice

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Analisis Yuridis Penghapusan Rintisan Sekolah Bertaraf Internasional (RSBI) Di Kota Batam Rina Shahriyani Shahrullah; Wagiman Wagiman; Adi Kusuma
Journal of Judicial Review Vol 16 No 1 (2014)
Publisher : Fakultas Hukum, Universitas Internasional Batam

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Abstract

This study discussed about the effectivity of The Constitutional Court Verdict Number 5 Year 2012 about International Schools Pioneer (RSBI) Elimination at Batam City implementation. This research was formulated by a few problems because of the implementation of The Constitutional Court Verdict Number 5 Year 2012 about International Schools Pioneer (RSBI) Elimination especially at Batam City and the solutions to education performance pasca the verdict. The result showed that there were effects after The Constitutional Court Verdict Number 5 Year 2012 about International Schools Pioneer (RSBI) Elimination at Batam City.This study also analysed the solution to do the education activities at Batam City pasca The Constitutional Court Verdict Number 5 Year 2012 about International Schools Pioneer (RSBI) Elimination. The analysis showed that it was needed to prioritize the education quality increasement effort for the students through Superior School Programs and increase the roles of the stakeholders in helping the mandated Education National Standard fulfillment effort.
Analisa Sentimen Pada Twitter Terhadap Kenaikan Tarif Dasar Listrik Dengan Metode Naïve Bayes Adi Kusuma; Agung Nugroho
Jurnal Ilmiah Teknologi Informasi Asia Vol 15 No 2 (2021): Volume 15 Nomor 2 (8)
Publisher : LP2M INSTITUT TEKNOLOGI DAN BISNIS ASIA MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jitika.v15i2.557

Abstract

Along with the development of internet technology, the use of social media has also mushroomed. The most popular social media is Twitter. Twitter provides services for its users to send and read tweets that have been shared, so people prefer to express their opinions through social media rather than expressing it directly. Public opinion expressed in Twitter social media in the form of perception, both positive and negative. The abundance of public opinion can be used as research material to find information. The utilization of this information requires appropriate analytical techniques so that the information generated can assist many parties in making a decision. To overcome the above problems used the right data mining technique, namely sentiment analysis. Therefore, this research tries to do sentiment analysis to see people's perception of the issue of increasing electricity tariffs on social media Twitter using the Naïve Bayes method by classifying sentiments to be positive, negative, and neutral. From the results of research that has been done, it can be seen that the most negative sentiment is formed in response to the issue of the increase in electricity tariffs. Keywords: Sentimen Analisis, Twitter, Klasifikasi, Naive Bayes
Co-Authors Agung Nugroho Rina Shahriyani Shahrullah Wagiman Wagiman