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All Journal TEKNIK INFORMATIKA ELITE Journal: Journal of English Linguistics, Literature, and Education Notaire Jurnal Pendidikan, Sains, Geologi, dan Geofisika (GeoScienceEd Journal) Jurnal Studi Ekonomi dan Bisnis Islam (SEBI) Jurnal Akuntansi, Manajemen, Bisnis dan Teknologi J-COSCIS : Journal of Computer Science Community Service Karimah Tauhid Jurnal Imiah Pengabdian Pada Masyarakat (JIPM) Journal of Islamic Finance and Accounting Research IJTIMA': Jurnal Pengabdian Masyarakat Jurnal Ilmu Pertanian dan Perikanan (PENARIK) Journal for Research in Public Health Jurnal IAKP : Jurnal Inovasi Akuntansi Keuangan & Perpajakan
Arini
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Religion Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Neuroscience Nursing Physics Public Health Social Sciences Other

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Detecting Hoax News in Indonesian Language Using Web-Based Multinomial Naïve Bayes Fitri Mintarsih; Ivan Ananda Putra; Arini; Victor Amrizal; Bayu Suseno, Hendra
JURNAL TEKNIK INFORMATIKA Vol. 19 No. 1: JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v19i1.50385

Abstract

This study addresses the growing problem of hoax news in Indonesia, which has contributed to social conflicts. It aims to develop an effective detection method using the Multinomial Naive Bayes algorithm. The study integrates Indonesian specific text preprocessing and feature engineering within the CRISP-DM framework to enhance classification performance. A dataset of 5,226 news articles (2,612 non-hoax and 2,614 hoax) was collected from kompas.com and turnbackhoax.id. Preprocessing steps included case folding, tokenization, stopword removal, and stemming tailored to the Indonesian language. Feature extraction was performed using the TF-IDF weighting scheme to convert text into numerical representations. The Multinomial Naive Bayes algorithm achieved an average accuracy of 86%, precision of 86%, recall of 86%, and F1 score of 86%, indicating stable and balanced performance. Furthermore, the trained model was successfully deployed using the Flask framework and stored in (pickle/joblib) format, demonstrating its practical applicability in real world systems. The results indicate that the integration of Indonesian specific preprocessing and TF-IDF feature representation significantly supports the effectiveness of the Multinomial Naive Bayes algorithm in detecting hoax news. This study provides a scalable and implementable approach to combating the spread of false information in Indonesian digital media.
PELATIHAN PENGELOLAAN KEUANGAN PADA BANK SAMPAH MUTIARA KELURAHAN TUAH KARYA KECAMATAN TUAH MADANI KOTA PEKANBARU Arini; Novianti, Serly; Fithrie, Souvya
IJTIMA': JURNAL PENGABDIAN MASYARAKAT Vol. 3 No. 1 (2026): April
Publisher : UIR Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/ijtima.2026.27832

Abstract

This community service activity aims to provide knowledge about proper and effective basic financial management tailored to the needs of our partner, the Mutiara Waste Bank in Tuah Karya Village, Tuah Madani Subdistrict, Pekanbaru City. The activity employs a hands-on, face-to-face approach by conducting training on financial management for the Mutiara Waste Bank in Tuah Karya Village, Tuah Madani Subdistrict, Pekanbaru City. A waste bank is a facility used to collect pre-sorted waste. By depositing waste at the waste bank, value is generated, thereby providing additional benefits to the surrounding community. By depositing waste that holds “value” at the waste bank—which is then managed by the bank—additional income is generated for the community. The hope for this community service initiative is to provide solutions for the Mutiara Waste Bank in managing its finances, thereby fostering financial transparency. Furthermore, it aims to create a clean, healthy, and productive living environment in the Tuah Madani Village area, which will enhance the economic value for its residents.
Co-Authors Afifah Adliah Ahmad Zamsuri, Ahmad Aidil Marzuki Andi Zahran Budiman Anggraeni Ramadhani Aprilia Milanda Putri Arafuri, Yessin Arini Arini Arjuna Amrum Amir Azzahra, Noviandra Bayu Suseno, Hendra Eka Putri, Gusmarila Eka Sustri Harida Fachry Abda El Rahman faizah kamilah, faizah Fithrie, Souvya Fitri Mintarsih Hanif Nur Widhiyanti, Hanif Nur Hutagaluh, Oskar Ivan Ananda Putra Lestari, Wangi Dema Liani, Efi M. Ridwan Syafruddin Muhammad Aldi Naufal Saputra Mustamin, Siti Walidah Nashrullah, Haris Novianti, Serly Nurul Izmi Muhajir Putri, Meliani Riski Aulia Rusi Rusmiati Aliyyah Sahrul Saputra Sana, Nur Nisfi Sepriani Sesrita, Afridha Simamora, Sartika Siti Istiningsih Sri Ayu Ainun Sri Rahmadhani Siregar Suhariningsih Sulia Sukmawati, U Victor Amrizal Zaharman