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All Journal Jurnal Informatika dan Teknik Elektro Terapan Jurnas Nasional Teknologi dan Sistem Informasi Journal of Information Technology and Computer Science Jurnal Informatika JURNAL ILMIAH INFORMATIKA JURNAL INSTEK (Informatika Sains dan Teknologi) Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Jurnal Mnemonic JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Pendidikan dan Teknologi Indonesia Jurnal Pengabdian Masyarakat Sains dan Teknologi Journal of Empowerment and Community Service Aspirasi : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat Journal of Innovative and Creativity JSE Journal of Science and Engineering
Fendy Yulianto
Universitas Muhammadiyah Kalimantan Timur
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Transportation Other

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Journal : JSE Journal of Science and Engineering

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Sentiment Analysis of the Public on the Deployment of Smart Robots in Indonesia Using the Naïve Bayes Method Muthmainnah Muthmainnah; Rudiman Rudiman; Fendy Yulianto
JSE Journal of Science and Engineering Vol. 3 No. 2 (2025): Journal of Science and Engineering
Publisher : LPPI Universitas Muhammadiyah Kalimantan Timur (UMKT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30650/jse.v3i2.3887

Abstract

In this digital era, social media platforms have become the primary means for the public to express opinions on current issues, including discussions about the roles of robots and artificial intelligence in replacing human jobs. The focus of this community service is to investigate public sentiment regarding the implementation of smart robots in Indonesia, utilizing text-based sentiment analysis. The Naïve Bayes method is chosen as the approach to classify sentiments, overcoming challenges such as language and cultural variations. Through data testing and training, this research successfully achieved an accuracy rate of 98%, with high Precision, Recall, and F1 Score. The results provide valuable insights for companies and organizations that need to understand public perspectives on technological advancements and their impact on human employment.
Co-Authors Abdul Rahim Akbar, Farhan Anitasari, Dini Arbansyah Arbansyah Arbansyah Arief Andy Soebroto Arif Ramadhani Atiqah, Nur Quratul Nabila Betris Dea Maretta, Nanda Hasmadi, Ipan Ikhsan Nuttakwa Takbirata Ihram Nabawi Ikhsan Ilham, Muhammad Fauzan Nur Khoirul Huda Dwi Putra Huda Muhammad Rayhan Elfansyah Rayhan Muhammad Taufiq Sumadi Muthmainnah Muthmainnah Muthmainnah Muthmainnah Naufal Azmi Verdikha Nur, Seftiani Nurdin, Andi Nursyarif, Muhammad Khumaidi Rahmadana, Novia Ridhoi, Reno Rudiman Rudiman Salsabila, Cindy Azra Sipahutar, Enriko Chiesa Tagfirul Azima Yoga Siswa, Muspidar Mulyadi Tirta, Muhamad Wahyu Umar Bakri Wahyu Adiwinata Wayan Firdaus Mahmudy Yoga, Taghfirul Azhima