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All Journal Jurnal Penelitian Saintek Perfecting a Video Game with Game Metrics INVOTEC Indonesian Journal of Electrical Engineering and Computer Science Frontiers JOINTER : Journal of Informatics Engineering Asia Pacific Journal of Management and Education(APJME) Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Ismart Edu: Jurnal Pendidikan Teknologi Informasi Asia Pacific Journal of Management and Education Innovative: Journal Of Social Science Research
parabelem tinno dolf rompas
Universitas Negeri Manado
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Public Health Other

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Journal : JOINTER : Journal of Informatics Engineering

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Analisis Sentimen Situs Pembajak Artikel Penelitian Menggunakan Metode Lexicon-Based Michella Undap; Vivi P Rantung; Parabelem T. D Rompas
JOINTER : Journal of Informatics Engineering Vol 2 No 02 (2021): JOINTER : Journal of Informatics Engineering
Publisher : Program Studi Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/jointer.v2i02.44

Abstract

The development of technology is very rapid in today's era, especially with the development of internet technology. In the field of education itself, publication and access to research references can be easily done via the internet. However, with the internet also, research journal piracy can occur when access to references cannot be obtained due to paywall barriers (cannot access if you do not pay). Expressions of this can be found on social media, where users can use the platform to express their opinions freely. The availability of these data on the internet that can be retrieved and analyzed so as to produce information. In this study, we will analyze public sentiment towards one of the research article hijacking sites, namely Sci-Hub. The method used is Lexicon-based which is a method that uses a dictionary for classifying sentiment text. The data used are 35,755 tweets with 28,193 English-language tweets and 7,552 Indonesian-language tweets. The data is classified according to the rules in the InSet dictionary with the results of the classification of positive sentiment 59.51%, negative sentiment 26.42% and neutral sentiment 14.07%. This study obtained an accuracy of 55.66% for the prediction of data with positive, negative and neutral sentiments.
Co-Authors Alfrina Mewengkang Arje Cerullo Djamen Athsel Walangitan Baihaqi Baihaqi Barokah Barokah Brayen Peters Kaawoan Charnila Desria Heydemans Christine Takarina Meitty Manoppo Daniel Riano Kaparang Desyemca Florenda Indra Muda Djami Olii Faldy Andreas Gosal Ferry Johnny Sangari Gerry Theofilus Tambaani Heindrich Taunaumang Herry Sumual Hiskia Kamang Manggopa Janli Marlinda Okra Jenly D.I. Manongko Jobellium Tesar Gustaf Endoh Johan Reimon Batmetan Julius Sasukul Keith Francis Ratumbuisang Luther Sule Marvil Ratumbanua Mella Riska Mokolintad Michella Undap Mintjelungan, Marthinus Maxi Nelci Vebi Rumabar Nikita Gabriel Sangeroki Nur Amelia Putri Londa Orbanus Naharia Palilingan, Verry Ronny Peggy Veronica Togas Rivaldo Alvian Golung Rolly R. Oroh Saldy Tahulending Sevanya Raturandang Tuilan, Victor Vivi Peggie Rantung Wiratno Wiratno Yohan Wibisono Yulianti Badjin