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All Journal Scientific Journal of Informatics Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) SPEKTA (Jurnal Pengabdian Kepada Masyarakat : Teknologi dan Aplikasi) Journal of Technology and Informatics (JoTI) Jurnal Algoritma eProceedings of Engineering Journal of Information System Exploration and Research Scientific Journal of Informatics Jurnal Masyarakat Mengabdi (JUMADI)
Tanzilal Mustaqim
Universitas Telkom
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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Journal : Journal of Information System Exploration and Research

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Accuracy of Malaysia Public Response to Economic Factors During the Covid-19 Pandemic Using Vader and Random Forest Jumanto, Jumanto; Muslim, Much Aziz; Dasril, Yosza; Mustaqim, Tanzilal
Journal of Information System Exploration and Research Vol. 1 No. 1 (2023): January 2023
Publisher : shmpublisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joiser.v1i1.104

Abstract

This study conducted a sentiment analysis of the impact of the Covid-19 pandemic in the economic sector on people's lives through social media Twitter. The analysis was carried out on 23,777 tweet data collected from 13 states in Malaysia from 1 December 2019 to 17 June 2020. The research process went through 3 stages, namely pre-processing, labeling, and modeling. The pre-processing stage is collecting and cleaning data. Labeling in this study uses Vader sentiment polarity detection to provide an assessment of the sentiment of tweet data which is used as training data. The modeling stage means to test the sentiment data using the random forest algorithm plus the extraction count vectorizer and TF-IDF features as well as the N-gram selection feature. The test results show that the polarity of public sentiment in Malaysia is predominantly positive, which is 11,323 positive, 4105 neutral, and 8349 negative based on Vader labeling. The accuracy rate from the random forest modeling results was obtained 93.5 percent with TF-IDF and 1 gram.
Co-Authors Adani, Muhammad Harits Shofwan Alifah, Amalia Nur Alqis Rausanfita Arif Sanjani, Lukman Aris Kusumawati Asmawati, Diah Aulia Rohman, Aditya Chastine Fatichah Desita Nur Rachmaniar Diana Purwitasari Dimas Renggana, Christiant Dwi Hariyanto, Muhammad Dyah Ayu Septiani , Erica Fandisya Rahman Fenaldo Maulana, Rizky Helisyah Nur Fadhilah Hilya Tsaniya Jumanto Jumanto, Jumanto Mohammad Sholik Much Aziz Muslim Muhajir, Daud Mustafa Kamal Mu’min Faisal, Ahmad Nanik Suciati Putra Ariansyah , Andika Rafif, Sulthan Rifdatun Ni’mah Riza Akhsani Setyo Prayoga Rizkika, Rizal Rahman Rizky Oktavia, Vessa Safitri, Pima Hani Syahran Jungjungan , Fadhlan Titus Kristanto Vessa Rizky Oktavia Wachda Yuniar Rochmah Wali Satria Bahari Johan, Ahmad Yosza Dasril