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All Journal Jurnal Informatika Jurnal Ilmu Komputer dan Informasi Jurnal Ilmu Komputer Jurnal Teknik ITS IPTEK The Journal for Technology and Science Semantik Techno.Com: Jurnal Teknologi Informasi Jurnal Buana Informatika TELKOMNIKA (Telecommunication Computing Electronics and Control) JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Ilmiah Kursor Scan : Jurnal Teknologi Informasi dan Komunikasi Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Sistem dan Informatika Scientific Journal of Informatics Journal of Information Systems Engineering and Business Intelligence Jurnal Ilmiah Pangabdhi Register: Jurnal Ilmiah Teknologi Sistem Informasi EMITTER International Journal of Engineering Technology Jurnal Inspiration Briliant: Jurnal Riset dan Konseptual JOIV : International Journal on Informatics Visualization Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) INTEGER: Journal of Information Technology IKRA-ITH Informatika : Jurnal Komputer dan Informatika JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) SISFO Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Journal of Information System,Graphics, Hospitality and Technology ILKOMNIKA: Journal of Computer Science and Applied Informatics Insyst : Journal of Intelligent System and Computation Jurnal Nasional Teknik Elektro dan Teknologi Informasi Sewagati Nusantara Journal of Computers and its Applications
Diana Purwitasari
Alumni Jurusan Teknik Informatika, Fakultas Teknologi Informasi, Institut Teknologi Sepuluh Nopember
Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Public Health Social Sciences Other

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Journal : JOIV : International Journal on Informatics Visualization

 1 
Content and Network Feature in Attention-based Neural Network for Stance Detection on COVID-19 Vaccination Tweets Bimantara, I Made Satria; Irdayanti, Marina; Nisa, Chilyatun; Purwitasari, Diana
JOIV : International Journal on Informatics Visualization Vol 9, No 1 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.1.2671

Abstract

Stance detection in COVID-19 vaccination utilizing tweets is crucial for several reasons, such as public health communication, monitoring vaccine sentiment, and identifying misinformation. This research aims to explore the use of attention-based neural networks for stance detection in Indonesian COVID-19 vaccination tweets. The research focuses on enhancing accuracy by integrating content and network features. The content features represent the tweet's text, while network features define the user account's following or unfollowing. The primary contribution of this research is the development of an Attention Long Short-Term Memory (AttLSTM) model for stance detection in Indonesian tweets related to the COVID-19 vaccination. This model combines content and network features to improve accuracy in classifying user attitudes. We also highlight the performance differences between Word2Vec and FastText for numerical text representation in the AttLSTM model. The research used the Indonesian COVID-19 vaccination-related tweet dataset from prior research. The dataset is extracted using user metadata to obtain content and network features necessary to represent users' interest in tweets. Our research method involves data preparation, preprocessing, extraction of content and network features, and the development of an AttLSTM model. By integrating content and network features into the AttLSTM model with Word2Vec text representation, the study demonstrates superior performance compared to the LSTM baseline model and FastText. Adding attention mechanisms to the baseline LSTM model can capture crucial information, such as the minority class inside a tweet's text. Future research will involve exploring advanced data processing methods and ensemble learning techniques to further improve the model's performance.
Multi-label Aspect Dangerous Speech Classification Using Keyword-Driven Ensemble Classifier on Imbalanced Data Findawati, Yulian; Budi Raharjo, Agus; Adni Navastara, Dini; Yonathan, Vincent; Yatestha, Anak Agung; Purwitasari, Diana
JOIV : International Journal on Informatics Visualization Vol 9, No 4 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.4.3129

Abstract

This study aims to detect various aspects of dangerous speech on social media, particularly Twitter, which has the potential to incite violence and increase prejudice against specific communities. The research dataset includes tweets containing dangerous speech related to the Indonesian government from 2019 to 2022. Researchers manually labeled the data based on seven aspects of hazardous speech, including social and historical context, dehumanization, accusations in the mirror, threats against women/children, questioning in-group loyalty, and threats against groups. The study employs a multi-label classification method to handle these aspects, which appear simultaneously in a single text. The main challenges include data imbalance, ambiguity, and the informal language frequently appearing in tweets. This study introduces a Keyword-Driven Ensemble Classifier (KDEC), a new ensemble model that leverages the strengths of SVC, Logistic Regression, IndoBERTweet, and specific keyword lists for each label. Researchers designed KDEC based on the best results from machine learning and deep learning methods tested in this study. The research team tested the model on small and large datasets, conducting trials involving seven and four-label classifications. The results show that KDEC, with label reduction and keyword support, effectively addresses data imbalance, resolves label overlap, and achieves 92% accuracy for seven-label classification and 88% for four-label classification. The findings of this research are highly relevant for hate speech analysis across various platforms and languages, particularly in understanding context and conveyed messages. Additionally, this study provides valuable insights into managing harmful content in online government-related discussions. This method identifies dangerous speech on a larger scale and supports data-driven social media content regulation decision-making.
Co-Authors Abdillah, Surya Abid Famasya Abdillah Abid Famasya Abdillah Achmad Affandi Addien Haniefardy Ade Afrian Adhi Nurilham Adi Surya Suwardi Ansyah Adillion, Ilham Gurat Adni Navastara, Dini Agus Budi Raharjo Agus Budi Raharjo Agus Zainal Arifin Agus Zainal Arifin Ahmad Syauqi Ahmad Syauqi Aida Muflichah Akwila Feliciano Akwila Feliciano Alif Akbar Fitrawan, Alif Akbar Alqis Rausanfita Aminul Wahib Aminul Wahib Aminul Wahib Anisa Nur Azizah Apriantoni Apriantoni Apriantoni Apriantoni Ardianto Ardianto Ariadi Retno Tri Hayati Arief Rahman Arif Fadllullah Arini Rosyadi Ario Bagus Nugroho Arrie Kurniawardhani Arya Putra Kurniawan Asiyah Nur Kholifah Bambang Setiawan Baskoro Adi Pratomo Baskoro, Fajar Benito, Davian Budi Pangestu Budi Rahardjo Budi Raharjo, Agus Buliali, Joko Lianto Cahyaningtyas, Zakiya Azizah Chastine Fatichah Chilyatun Nisa, Chilyatun Christian Sri kusuma Aditya, Christian Sri kusuma Cornelius Bagus Purnama Putra Daniel Oranova Siahaan Daniel Swanjaya Dasrit Debora Kamudi Dhian Kartika Dian Saputra Dini Adni Navastara, Dini Adni Dwi Sunaryono Dwi Sunaryono Edy Sukotjo Eko Riduwan Elshe Erviana Angely Erlinda Argyanti Nugraha Erlinda Argyanti Nugraha Esti Yuniar F.X. Arunanto Fahmi Amiq Fahrur Rozi Fajar Baskoro Fajar Baskoro Fandy Kuncoro Adianto Fandy Kuncoro Adianto Faried Effendy Febri Fernanda Febriliyan Samopa Fransiscus Xaverius Arunanto Galih Hendra Wibowo Ginardi, Raden Venantius Hari Glory Intani Pusposari Gurat Adillion, Ilham Gus Nanang Syaifuddiin Hadziq Fabroyir Hafidz, Abdan Hamidi, Mohammad Zaenuddin Handayani Tjandrasa Hani’ah, Mamluatul Hanif Affandi Hartanto Hani’ah, Mamluatul Haykal, Muhammad Farhan Herdayanto Sulistyo Putro Hilya Tsaniya Hudan Studiawan Husna, Farida Amila I Ketut Eddy Purnama I Made Satria Bimantara Ifnu Wisma Dwi Prastya Ilmi, Akhmad Bakhrul Imam Santosa Indra Lukmana Irdayanti, Marina Ivonne Soejitno Juanita, Safitri Juanita, Safitri Juli Purwanto Kardawi, Muhammad Yusuf Kautsar, Faiz Kevin Christian Hadinata Kevin Christian Hadinata Khadijah F. Hayati Kurnia Aji Tritamtama Lailatul Hidayah Luthfi Atikah M. Abdillah M. Abdul Wakhid Mabahist, Fahril Maheswari, Clarissa Luna Mauridhi Hery Purnomo Mauridhi Hery Purnomo Mirza Hamdhani Misbachul Falach Asy'ari Misbakhul Munir Irfan Subakti Mohammad Zaenuddin Hamidi Muhamad Nasir Muhammad Machmud Muhammad Mirza Muttaqi Nabila Puspita Firdi Nada Fitrieyatul Hikmah Nanik Suciati Narandha Arya Ranggianto Nova Rijati Novemi Uki A Novrindah Alvi Hasanah Nugraha, Raditya Hari Nur Hayatin Nurilham, Adhi Oktaviandra Pradita Putri Oktaviandra Pradita Putri, Oktaviandra Pradita Paramastri Ardiningrum Putri Damayanti Putu Praba Santika Putu Utami Andarini S. Putu Yuwono Kusmawan Raihan, Muhammad Rangga Kusuma Dinata Rangga Kusuma Dinata Ratih Nur Esti Anggraini, Ratih Nur Esti Rendra Dwi Lingga P. Resti Ludviani Rio Indralaksono Rizal Setya Perdana Rizka Sholikah Rizka Wakhidatus Sholikah Rizka Wakhidatus Sholikah, Rizka Wakhidatus Rizqa Afthoni Rozi, Fahrur RR. Ella Evrita Hestiandari Rully Soelaiman Rully Sulaiman Ryfial Azhar, Ryfial Safhira Maharani Safhira Maharani Safitri Juanita Safitri, Julia Salim Bin Usman Salim Bin Usman Salsabila Mazya Permataning Tyas Salsabila Salsabila Satrio Hadi Wijoyo Satrio Verdianto Satrio Verdianto Sembiring, Fred Erick Septiyan Andika Isanta Septiyan Andika Isanta Septiyawan Rosetya Wardhana Septiyawan Rosetya Wardhana Sherly Rosa Anggraeni Sherly Rosa Anggraeni Sidharta, Bayu Adjie Sihombing, Drigo Alexander Siti Rochimah Surya Sumpeno Suwida, Katon Syadza Anggraini Tanzilal Mustaqim Tegar Rachman Muzzammil Tesa Eranti Putri Tri Arief Sardjono Tsabbit Aqdami Mukhtar, Tsabbit Aqdami Umy Rizqi Verdianto, Satrio Victor Hariadi Vit Zuraida Wakhid, Muhammad Abdul Wardhana, Septiyawan Rosetya Wicaksono, Farhan Wijayanti Nurul Khotimah Wijoyo, Satrio Hadi Windy Deftia Mertiana wulansari wulansari Yanuardhi Arief Budiyono Yasinta Romadhona Yatestha, Anak Agung Yoga Yustiawan Yonathan, Vincent Yos Nugroho Yudhi Purwananto Yufis Azhar Yuhana, Umi Laili Yulia Niza Yulia Niza Yulian Findawati Zahrul Zizki Dinanto Zakiya Azizah Cahyaningtyas Zakiya Azizah Cahyaningtyas Zuraida, Vit