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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Tekno Insentif Jurnal Informatika Global Techno Xplore : Jurnal Ilmu Komputer dan Teknologi Informasi Jurnal Teknik Informatika (JUTIF) Jurnal Dedikasi Seminar Nasional Pengabdian Kepada Masyarakat Paradigma INOVASI: Jurnal Hasil Pengabdian Masyarakat Internet of Things and Artificial Intelligence Journal Indonesian Journal of Fundamental Sciences Teknovokasi : Jurnal Pengabdian Masyarakat Vokatek : Jurnal Pengabdian Masyarakat Information Technology Education Journal International Journal of Environment, Engineering, and Education Journal of Embedded Systems, Security and Intelligent Systems Jurnal Kemitraan Responsif untuk Aksi Inovatif dan Pengabdian Masyarakat Jurnal Informatika Polinema (JIP) Journal of Deep Learning, Computer Vision and Digital Image Processing Jurnal MediaTIK Artificial Intelligence in Lifelong and Life-Course Education
Andi Akram Nur Risal
Universitas Negeri Makassar
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Other

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Performance Comparison of SVM in Sentiment Analysis of Israel-Palestine Comments Using Lsa and Word2vec Akbar, Muh. Arsan; Syam, Abd. Azis; Al Amanah, Muh. Nur Hidayat; Risal, Andi Akram Nur; Surianto, Dewi Fatmarani; Budiarti, Nur Azizah Eka; Wahid, Abdul
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 1 (2026): JUTIF Volume 7, Number 1, February 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.1.4601

Abstract

This study compares two feature extraction techniques, namely Latent Semantic Analysis (LSA) and Word2Vec, in the sentiment classification of comments related to the Israeli-Palestinian conflict using Support Vector Machine (SVM). The dataset consists of 1000 YouTube comments and 158 news paragraphs, categorized into pro and con Palestinian sentiments. The preprocessing process includes casefolding, special character and stopword removal, lemmatization, and tokenization. The results show that SVM with Word2Vec has better performance than SVM with LSA in the classification of positive and negative comments. SVM model with Word2Vec recorded a precision value of 92% and F1-Score of 93% on negative comments. Meanwhile, SVM with LSA recorded 90% precision and 92% F1-Score. On positive comments, SVM with Word2Vec recorded 92% recall and 93% F1-Score. While SVM with LSA recorded 89% recall and 91% F1-Score. Word2Vec's strength lies in its ability to capture word context and nuance more effectively, thanks to training using richer contextualized comment and news data. In conclusion, although both methods show good ability in sentiment classification, the use of Word2Vec provides more consistent and accurate results. This research contributes to the advancement of sentiment classification methods in the context of complex socio-political issues and can serve as a reference for applying machine learning to more accurate and contextual public opinion analysis.
Learning Autonomy and Effectiveness in AI-Supported Engineering Education Integrating Technology Acceptance and Motivation Haeril Anwar; Ismawati; Agusnaya, Nurrahmah; Risal, Andi Akram Nur; Rifqie, Dary Mochammad
Artificial Intelligence in Lifelong and Life-Course Education Vol 1 No 2 (2026): Artificial Intelligence in Lifelong and Life-Course Education
Publisher : PT. Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/aillce.v1i2.14

Abstract

Purpose – This study examines the influence of learning autonomy on learning effectiveness in artificial intelligence supported learning among engineering students by extending the Technology Acceptance Model with motivational and psychological factors.Design/methods/approach – A quantitative cross-sectional survey was conducted involving 90 engineering students from a public university in Indonesia who had experience using artificial intelligence tools for academic learning. Data were analyzed using partial least squares structural equation modeling to examine the relationships among perceived usefulness, self-efficacy, willingness for autonomous learning, and learning effectiveness and autonomy.Findings – The results indicate that perceived usefulness, self-efficacy, and willingness for autonomous learning all have significant positive effects on learning effectiveness and autonomy. Willingness for autonomous learning emerged as the strongest predictor, highlighting the central role of students’ internal motivation and readiness to manage their own learning processes in AI-supported environments.Research implications/limitations – The study is limited by its cross-sectional design, reliance on self-reported data, and a sample restricted to engineering students from a single institution, which may limit generalizability.Originality/value – This study extends the Technology Acceptance Model by integrating learning autonomy and motivational factors within an artificial intelligence supported learning context, offering empirical evidence to inform the design of balanced and student-centered AI-enhanced learning in higher education.
Co-Authors A. Arfan Fauzi Abdul Wahid Adiba, Fhatiah Adibah, Fhatiah Agusnaya, Nurrahmah Akbar, Muh. Arsan Al Amanah, Muh. Nur Hidayat Al Imran Alfian Firlansyah Alifya NFH Alifya Nurilmi Fony Hasanuddin Amri, Muh. Aidil Andi Aisyah Nurfitri Andi Alamsyah Rivai Andi Alviadi Nur Risal Andi Baso Kaswar Andi Baso Kaswar Andi Sadri Agung Andi, Tenriola Anita Candra Dewi Ayu Hasnining Azis, Putri Alysia Bakri, Muh. Fajrin Baktiar, Nurul Isra Humaira Baso, Fadhlirrahman Desy Maryani Dewi Fatmarani Surianto Dirawan, Gufran Darma Edy, Marwan Ramdhany Fathahillah Fathahillah Fathahillah Fathahillah Fathahillah Fhatiah Adiba Fhatiah Adiba Fhatiah Adiba Fhatiah Adiba Firman, Risman Gufria Darma Irasanty Haeril Anwar Hartanto Tantriawan Irensi Seppa, Yusi Ismawati Iwan Suhardi Kurnia Prima Putra M. Miftach Fakhri Mappangara, Surianto Muhammad Akbar Muhammad Akbar Amir Muhammad Fajar B Muhammad Nur Yusri Muhlis Tahir Muliadi Muliadi Mulyati Yantahing Mustaring Mustaring Muthmainnah, Aindri Rizky Nasrullah, Asmaul Husnah NFH, Alifya Ninik Rahayu Ashadi Nur Azizah Ayu Safanah NUR FADILLAH Nur Inayah Yusuf Nurfitri, Andi Aisyah Nurjannah Nurjannah Nurjannah Nurjannah Nurjannah Nurul Mukhlisah Abdal Pamput, Jessicha Putrianingsih Parenreng, Jumadi M. R., Mantasiah Ramadhan, Haekal Febriansyah Ridwan Daud Mahande Rifqie, Dary Mochammad Rivai, Andi Muhammad Rivai, Andi Tenri Ola RR. Ella Evrita Hestiandari S.Intam, Rezki Nurul Jariah Satria Gunawan Zain Sitti Faika Sitti Syarifah Wafiqah Wardah SUDIRMAN, MUH. Sulaiman, Dwi Rezky Anandari Surianto, Dewi Fatmawati Syahrul Syam, Abd. Azis Tahir, Muhlis Tahir, Renisa Amalia Trisakti Akbar Wahid, M Syahid Nur Wardani, Ayu Tri WULANDARI Zulhajji, Zulhajji