Article Per Year (5 Year)
p-Index From 2021 - 2026
3.86
P-Index
This Author published in this journals
All Journal IAES International Journal of Artificial Intelligence (IJ-AI) ComEngApp : Computer Engineering and Applications Journal Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Annual Research Seminar Sistemasi: Jurnal Sistem Informasi JOURNAL OF APPLIED INFORMATICS AND COMPUTING SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan JURTEKSI EDUMATIC: Jurnal Pendidikan Informatika Building of Informatics, Technology and Science Indonesian Journal of Electrical Engineering and Computer Science Jurnal Generic JUSTIN (Jurnal Sistem dan Teknologi Informasi) Jurnal Masyarakat Madani Indonesia Jurnal Pengabdian Informatika (JUPITA) Jurnal Informatika: Jurnal Pengembangan IT
Dinda Lestarini
Fakultas Ilmu Komputer Universitas Sriwijaya
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences Other

Published : 32 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 32 Documents
Search

 1   2   3   4 
Detection of Indonesian wildlife sales and promotion through social media using machine learning approach Dinda Lestarini; Taufiqurrahman Rusdy; Silfi Iriyani; Sarifah Putri Raflesia
Bulletin of Electrical Engineering and Informatics Vol 12, No 6: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i6.5418

Abstract

Social media is one of the communication media that is widely used in the digital era as it is today. The use of social media allows people who are far apart to communicate and exchange media, both voice, video, and images quickly and even in real-time. In the past, the sale of protected animals was mostly done on the black market, usually involving a supply chain between sellers that usually existed in traditional markets or certain communities. With the existence of social media, the trend in conducting transactions and promoting wild animals has shifted from traditional to modern thanks to the support of existing technology. Protected wild animals are of concern to the local government or the global world to protect their existence. Therefore, this research proposes a machine learning (ML) based approach to detect the promotion and sale of wild animals on social media. The implementation of Naïve Bayes classifier (NBC) has a high accuracy in detecting trade in wild animals on social media with an accuracy value of 86. The implementation of ML-based approach is expected to produce new technology that allows authorities to know and monitor social media in order to reduce the sale and promotion of protected wildlife.
Comparative Analysis of IndoRoBERTa and EmoRoBERTa for Emotion Classification Based on Ekman’s Taxonomy Using the Indonesian GoEmotions Dataset Syifa Naura Milla Celesta; Dinda Lestarini
Journal of Applied Informatics and Computing Vol. 10 No. 5 (2026): October 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i5.14116

Abstract

Emotion classification is an important task in Natural Language Processing (NLP) for identifying emotional information conveyed through Indonesian-language text. However, differences in model specialization may lead to different classification performance, while direct comparisons between language-oriented and emotion-oriented models under the same experimental setting remain limited. This study compares the performance of IndoRoBERTa and EmoRoBERTa for emotion classification using the Indonesian version of the GoEmotions dataset, with mBERT and TF-IDF with SVM included as baseline approaches. The dataset consists of 45,691 single-label samples categorized into seven emotions based on Ekman’s Taxonomy, namely anger, disgust, fear, joy, sadness, surprise, and neutral. The experimental process includes text preprocessing, class weighting to address class imbalance, and hyperparameter tuning to determine the optimal configuration for each model. Model performance is evaluated using accuracy, macro precision, macro recall, and macro F1-score, with macro F1-score as the primary metric. Under the dataset and experimental settings used in this study, IndoRoBERTa obtains an accuracy of 0.6603, macro precision of 0.5938, macro recall of 0.5975, and macro F1-score of 0.5887, while EmoRoBERTa obtains 0.6326, 0.5613, 0.5956, and 0.5742, respectively. mBERT and TF-IDF with SVM obtain macro F1-scores of 0.5495 and 0.5449, respectively. The results provide an empirical comparison of language-oriented and emotion-oriented Transformer models within the experimental setting and provide baseline context for interpreting their classification performance.
Co-Authors Adelia Azahra Adelia Rizki Putri Adeliani Adeliani Ahmad Rifai Alfarizi, Muhammad Ali Bardadi Allsela Meiriza, Allsela Andesta Angelina Anna Dwi Marjusalinah Ari Wedhasmara Ariani, Ardina Darmawahyuni, Annisa Darwin, Amelia Desty Rodiah Dinna Yunika Hardiyanti Firdaus Firdaus Firdaus Firdaus Firdaus Firdaus Firdaus Fransiska Prihatini Sihotang Ghita Athalina Hardini Novianti Hardini Novianti Hardini Novianti Iin Seprina Irwansyah, Muhammad Aziiz Junia Kurniati, Junia Ken Dhita Tania Kurniawan, Anggy Tias Kurniawan, Anggy Tyas Mira Afrina Muhammad Azmi Zaky Muhammad Husni Syahbani Muhammad Naufal Rachmatullah Muhammad Naufal, Muhammad Muliana, Ahmad Syakir Nabila Rizki Oktadini Naretha Kawadha Pasemah Gumay Oktadini, Nabila Rizky Pacu Putra Pibriana, Desi Purwita Sari Putri Eka Sevtiyuni Putri, Dila Okta Dwi Rahmadiana, Reva Nur Raihana Nabilatulrahmah Richa Pratiwi Rizka Dhini Kurnia Rosdiyanah, Rosdiyanah Sarifah Putr Raflesia Sarifah Putri Raflesia Sarifah Putri Raflesia Sarifah Putri Raflesia Sarifah Putri Raflesia, Sarifah Putri Seprina, Iin Silfi Iriyani Silfi Iriyani Siti Nurmaini Suci Fitriani, Suci Syifa Naura Milla Celesta Taufiqurrahman Rusdy Taufiqurrahman Rusdy Taufiqurrahman Taufiqurrahman Via Mariska, Inneke Willy Zaqqi Yamani