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All Journal Techno.Com: Jurnal Teknologi Informasi JOURNAL OF APPLIED INFORMATICS AND COMPUTING Dinamisia: Jurnal Pengabdian Kepada Masyarakat JMM (Jurnal Masyarakat Mandiri) Journal Information System Development JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Madaniya JINAV: Journal of Information and Visualization Jurnal Teknologi Sistem Informasi Jurnal Multidisiplin Madani (MUDIMA) Jurnal Pengabdian Masyarakat Inspiration: Jurnal Teknologi Informasi dan Komunikasi Jurnal Informatika: Jurnal Pengembangan IT Prosiding Seminar Nasional Unimus J-CEKI KAMBOTI : Jurnal Sosial dan Humaniora JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Hennie Tuhuteru
Fakultas Ilmu Komputer, Universitas Kristen Indonesia Maluku
Religion Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Nursing Public Health Social Sciences Other

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Journal : Journal Information System Development

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Analisis Sentimen Masyarakat Terhadap Pembatasan Sosial Berksala Besar Menggunakan Algoritma Support Vector Machine Tuhuteru, Hennie
Journal Information System Development (ISD) Vol 5, No 2 (2020): Journal Information System Development (ISD)
Publisher : UNIVERSITAS PELITA HARAPAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (618.153 KB)

Abstract

The spread of COVID-19 has become a pandemic throughout the world, including Indonesia. As the main door in Maluku, Ambon has become a new epicenter of the spread of coronavirus. This condition requires local governments to implement Large Scale Social Restrictions (LSSR) after being permitted by the Ministry of Health. This has become a polemic for some Ambonese people especially those who don't have a steady income. Many posts from social media discussing the LSSR that was implemented in Ambon. This study aims to find out how people's sentiment towards the LSSR implementation plan in Ambon through tweets and comments on social media platforms using sentiment analysis. The data obtained amounted to 1075 tweets and comments and separated between 350 training data and testing data of 725. The data classified using the Support Vector Machine (SVM) algorithm. The results of the study showed positive sentiment of 28%, a negative sentiment of 27%, and a neutral sentiment of 45%. It can be concluded that public sentiment towards the implementation of LSSR in Ambon based on posts on social media platforms is quite balanced between positive and negative sentiments and also dominated by neutral sentiments posts.
Analisis Sentimen Masyarakat Terhadap Pembatasan Sosial Berksala Besar Menggunakan Algoritma Support Vector Machine Hennie Tuhuteru
Journal Information System Development (ISD) Vol 5 No 2 (2020): Journal Information System Development (ISD)
Publisher : UNIVERSITAS PELITA HARAPAN

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The spread of COVID-19 has become a pandemic throughout the world, including Indonesia. As the main door in Maluku, Ambon has become a new epicenter of the spread of coronavirus. This condition requires local governments to implement Large Scale Social Restrictions (LSSR) after being permitted by the Ministry of Health. This has become a polemic for some Ambonese people especially those who don't have a steady income. Many posts from social media discussing the LSSR that was implemented in Ambon. This study aims to find out how people's sentiment towards the LSSR implementation plan in Ambon through tweets and comments on social media platforms using sentiment analysis. The data obtained amounted to 1075 tweets and comments and separated between 350 training data and testing data of 725. The data classified using the Support Vector Machine (SVM) algorithm. The results of the study showed positive sentiment of 28%, a negative sentiment of 27%, and a neutral sentiment of 45%. It can be concluded that public sentiment towards the implementation of LSSR in Ambon based on posts on social media platforms is quite balanced between positive and negative sentiments and also dominated by neutral sentiments posts.
Co-Authors Ade Iriani Alfian Reymon Makaruku Belfrit Victor Batlajery C Patty, Joanna Dessy Balik Dessy G Palyama Dessy Gloria Palyama Devita Madiuw Etwiory, Ulan Ningsih Ferdinandus, Junioverrill Gavriel G Palyama, Dessy Golda Tomasila Goldy Valendria Nivaan Goldy Valendria Nivaan H.T Soumokil, Marvienty Hentihu, Emma Khumairah Hervin Maitimu Herwawan, Joan Herly Janeman Sumah Jelisya Windy Gloria Pirsouw Joanna Cristy Patty Joselina Tuhuteru Laipeny Melianus Imasuly Laipeny Melianus Imasuly Lameky, Vernando Yanry Laturake, Marlisa Leipary, Harfely Leonardo Petra Refialy Lowry Hahijary Manaha, Robert Manaha, Roberth Ricky Y Marthevienty Soumokil Marvelous M Rijoly Metiary, Desya Y Moh. Ramli Sukunawatan Nanuru, Freedom George Nivaan, Goldy Valendria Olyvia Ririmasse Palyama, Dessy Gloria Pattirane, Shyrel Gildion Patty, Joanna C Paul Rio Pelupessy Pether John Arlooy Ratumanan, Tanwey Gerson Reynaldi Siwalette Reynaldi Siwalette Ricardo Freedom Nanuru Richard Frely Siahaya Robert R Y Manaha Roberth Ricky Manaha Roberth Ricky Y Manaha Ruben Lumatalale Samusamu, Rizel Selsily, Wendel Selsily, Wendel Herman Siwalette, Reynaldi Sumah, Janeman SURYANI Tasijawa, Fandro Armando Tomasila, Golda Ulan Ningsih Etwiory V Nivaan, Goldy Valensya Yeslin Tomasoa Vanny Leutualy Wendel H Selsily Wendel Herman Selsily Yeris Almendo Iwane Yulis Garlora