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All Journal Community Development Journal: Jurnal Pengabdian Masyarakat Journal of Dinda : Data Science, Information Technology, and Data Analytics
Rahman, Elsa Azila
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Humanities Computer Science & IT Economics, Econometrics & Finance Education Health Professions Public Health

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Analysis of Public Sentiment Toward the Increase in VAT Rates Using the SVM Algorithm Rahman, Elsa Azila; Lubis, Aidil Halim
Indonesian Journal of Data Science, IoT, Machine Learning and Informatics Vol 5 No 2 (2025): August
Publisher : Research Group of Data Engineering, Faculty of Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/dinda.v5i2.2025

Abstract

The Policy Of Increasing the Value Added Tax (VAT), particularly on luxury goods as stipulated in Minister of Finance Regulation (PMK) Number 131 of 2024, has sparked various public responses, many of which are captured through social media. In today's digital era, social media has become a primary platform for the public to express their opinions openly, including on government policies. This study aims to analyze public sentiment toward the VAT policy in order to provide insights for more responsive policymaking. A total of 4,000 comments were collected from the X platform using web crawling techniques, followed by preprocessing, resulting in 3,553 clean comments. Sentiment labeling was conducted automatically using a lexicon-based approach, which revealed that the majority of comments expressed positive sentiment (73.3%), while the remainder were negative (26.7%). Sentiment classification was performed using the Support Vector Machine (SVM) algorithm with a polynomial kernel and an 80:20 training-testing data split. Evaluation results showed that the model achieved an accuracy of 76.65%. The SVM model demonstrated excellent performance in detecting positive sentiment (precision 76.18%, recall 100%, and F1-score 86.51%), but was less effective in identifying negative sentiment (precision 100%, recall 7.78%, and F1-score 14.44%). These findings indicate that while the model is effective in recognizing positive opinions, further optimization is needed to improve performance in detecting negative sentiments.
PENGABDIAN KEPADA MASYARAKAT MELALUI KULIAH KERJA NYATA DI DESA EMPAT NEGERI, KABUPATEN BATUBARA Abrianisyah, Deli Kartika; Rahman, Elsa Azila; Aisyah, Siti; Nasution, Aziz Husien; Lesmana, Muhammad Saddam; Syarqawi, Ahmad
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 5 (2024): Vol. 5 No. 5 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i5.34837

Abstract

Kegiatan Kuliah Kerja Nyata (KKN) merupakan salah satu bentuk kegiatan pengabdian masyarakat yang biasa dilakukan oleh mahasiswa di Universitas tertentu terutama di Universitas Islam Negeri Sumatera Utara yakni dengan ikut andil berkontribusi dalam pengembangan serta mengatasi berbagai permasalahan yang terjadi dimasyarakat. Pelaksanaan Kuliah Kerja Nyata tersebut dilakukan selama kurang lebih 30 hari pengabdian dimulai pada Juli 2024-Agustus 2024. Lokasi kegiatan Kuliah Kerja Nyata dilakukan di Desa Empat Negeri, Kec. Datuk Lima Puluh, Kab. Batubara dengan tema "Inovasi dan Kolaborasi dalam Pembangunan: Membangun Smart University melalui Kemitraan Strategis Berbasis Pemerintah Daerah". Dengan begitu, metode observasi, wawancara, serta pemanfaatan teknologi tepat digunakan dalam kegiatan Pengabdian Masyarakat dalam bentuk Kuliah Kerja Nyata. Para mahasiswa meneliti secara langsung dilapangan untuk menemukan dan mencari tahu masalah apa yang terjadi di masyarakat dan cara mengatasinya. Mahasiswa KKN juga ikut serta dalam menciptakan kebersihan lingkungan melalui kegiatan kebersihan, menciptakan keamanan dan kejahatan melalui Penyuluhan Hukum, ikut serta dalam kegiatan pendidikan dengan mengajar anak-anak di Desa Empat Negeri, kegiatan sosial dan keagamaan, serta banyak kontribusi lainnya yang diberikan kepada masyarakat. Program Kuliah Kerja Nyata secara keseluruhan yang telah berjumlah 23 Program dengan 3 Program wajib yang sudah terselesaikan. Sehingga, dengan adanya kegiatan KKN di Desa Empat Negeri beserta Program Kerja yang sudah terlaksana diharapkan dapat membantu sedikit banyaknya perubahan yang lebih baik di Desa Empat Negeri.
Co-Authors Abrianisyah, Deli Kartika Aidil Halim Lubis Lesmana, Muhammad Saddam Nasution, Aziz Husien Siti Aisyah Syarqawi, Ahmad