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All Journal Swabumi (Suara Wawasan Sukabumi) : Ilmu Komputer, Manajemen, dan Sosial IJCIT (Indonesian Journal on Computer and Information Technology) Perspektif : Jurnal Ekonomi dan Manajemen Universitas Bina Sarana Informatika Paradigma Bina Insani ICT Journal Jurnal Pilar Nusa Mandiri Information System for Educators and Professionals : Journal of Information System Techno Nusa Mandiri : Journal of Computing and Information Technology Warta Penelitian Perhubungan Jurnal Riset Informatika INTI Nusa Mandiri INTEGRITAS : Jurnal Pengabdian Jurnal Infortech Jurnal AbdiMas Nusa Mandiri JUSTIAN - Jurnal Sistem Informasi Akuntansi Jurnal Penyuluhan Agama INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) Jurnal Pengabdian West Science Ladang Artikel Ilmu Komputer Journal of Accounting Information System Warta Penelitian Perhubungan
Siti Masripah
Universitas Bina Sarana Informatika
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Sentiment Analysis on Import Tariff Policy and Gold Price Increase with TF-IDF siti masripah; Rizal Amegia Saputra
Jurnal Riset Informatika Vol. 7 No. 3 (2025): Juni 2025
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v7i3.361

Abstract

Changes in global economic policy, such as Donald Trump's import tariff policy in 2025, have generated various public responses recorded through social media such as Twitter. Analysis of this public opinion is important to understand public perception of the dynamics of gold prices as a strategic commodity. This study aims to analyze public sentiment towards the issue of tariff policies and gold using TF-IDF feature extraction. To overcome class imbalance in tweet data, the Synthetic Minority Over-sampling Technique (SMOTE) technique was used. The dataset was obtained from Twitter with the keywords "trump", "tariffs", and "gold", then preprocessing and sentiment labeling (positive, negative, neutral) were carried out. The results of the analysis showed that 88.8% of tweets contained positive sentiment, 6.9% negative, and 4.1% neutral. The model evaluation produced an accuracy of 81.23%, with the highest precision in the positive class (0.81) and a recall of 1.00. These findings indicate that the issue of tariff policies is associated optimistically by the public because it is considered beneficial to gold prices.
Co-Authors Achmad Baroqah Pohan Ahmad Ali Aidil, Syahrul Angga Ardiansyah Anurahman, Datice Asep Abdurrahman Ayu Febriani Ayu, Rani Az-Zahra, Restu Rahmatunissa Azahra, Anggita Chayani, Nadya Nurul Dalfa, Siti Deriansyah, Deriansyah Dewi Ayu Nur Wulandari Dewi Ayu Nurwulandari Dinda, Ervina Dona Primasari, Dona Edo Indriyanto Fahrizal, Muhamad Fani Febriani, Ayu Felisha, Angela Putri Firmansyah, Muhamad Fitria, Pipit Hamdan Hamdan Herlawati Herlawati Hilari Larasati, Hilari Hilda Amalia Husna, Diah Ayu Awalul Koesmawan, Koesmawan Lestari Yusuf Lila Dini Utami Linda Ramayanti Linda Ramayanti Lita Yarlina, Lita M. Rafi Martha Rahayaan, Octa Fya Maulana, Hamdi Nadira Najwa Safitri, Rani Ayu Nana Marlina Cahyani Nurhayaty, Ety Paridah, Idah Pebri Damayanti Purwandani, Indah Restu Rahmatunissa Az-Zahra Rini Laili Prihatini Rizal Amegia Saputra Rusda Wajhillah, Rusda Safirah, Sarah Saputra, Aprinaldi Ujang Badru Jaman Yuliansyah, Siti Yusti Farlina