Article Per Year (5 Year)
p-Index From 2021 - 2026
3.916
P-Index
This Author published in this journals
All Journal Jurnal Teknik Jurnal Informatika dan Teknik Elektro Terapan JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) Among : Jurnal Pengabdian Masyarakat Journal of Information System and Technology (JOINT) Jutech: Jurnal Teknologi Informasi Smart Techno (Smart Technology, Informatic and Technopreneurship) JUSTIFY : Jurnal Sistem Informasi Ibrahimy Jurnal Aplikasi Sistem Informasi dan Elektronika Abdimas Mandalika Kohesi: Jurnal Sains dan Teknologi International Applied Science Journal Of Humanities Community Empowerment Jurnal Penelitian Teknologi Informasi dan Sains Dedikasi : Jurnal Pengabdian Lentera ABDIMASTEK Computing and Information System Journal
Fitriyah, Nur Qodariyah
Universitas Muhammadiyah Jember
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering 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 Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Social Sciences Other

Published : 26 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : computing and information system journal

 1 
PUBLIC SENTIMENT ANALYSIS OF THE ANTAM GOLD CASE ON SOCIAL MEDIA X USING THE SUPPORT VECTOR MACHINE (SVM) METHOD Ahmad Raudhotul Hikmah; Nur Qodariyah Fitriyah; Dudi Irawan
Computing and Information System Journal Vol. 2 No. 1 (2026): Inovasi Teknologi Cerdas Berbasis AI, IoT, dan Data Mining di Era Digital
Publisher : IndoCompt Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The development of social media, especially X (Twitter), has made it an important source for observing public opinion. One of the issues widely discussed is the Antam gold case related to the alleged misuse of official stamps and the circulation of illegal gold. This study analyzes public sentiment toward this issue by classifying tweets into positive, negative, and neutral categories. Data were collected through crawling using the keyword “kasus emas antam” during the period March 1–May 7, 2025, resulting in 716 tweets. The research process includes preprocessing, feature extraction using N-gram and TF-IDF, and classification using Support Vector Machine (SVM). Evaluation was carried out using a confusion matrix to calculate accuracy, precision, recall, and F1-score. The results show that the SVM model achieved an accuracy of 85%, precision of 91%, recall of 78%, and an F1-score of 80%, indicating good performance in classifying sentiment. This research is expected to provide an overview of public perception and serve as a reference in the application of sentiment analysis on other social issues.
Co-Authors Abdul Azis Achmad Julian agus milu susetyo Ahmad Raudhotul Hikmah Ari Eko Wardoyo Daryanto Dasuki, Moh. Dinata, Noeril Agian Septa Dodik Aris Setiawan Erwanto , Tedi Fitriyah, Aurelia Agustin Fitriyah, Bait Syaiful Rijal Fitriyah, Cetta Ugama Putra Ginanjar Abdurrahman Habibie Perwira Setiawan Hasbullah Hasbullah Irawan, Dudi Lintang Setyo Kurniawati Luluk Hannidayani Mochammad Zainur Rahman A. Mohammad Hasan Oktavianto, Hardian Putra, Aldho Chahya Vinada Putra, Dua Rizki Dharma Rahman, Miftahur Rintyarna , Bagus Setya Rosyidah, Ulya Anisatur Sulistyo, Henny Wahyu Sutikno Sutikno Sutikno Thoriq Wahyu Hidayatullah Triawan Adi Cahyanto Ulya Anisatur R. Widiyanto, Alfian Wijaya, Guruh Yusril Izzi Arlisa Amiri Zaenab Kurnia Zainul Arifin Zakiyyah, Amalina Maryam