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All Journal (JISCO) Journal of Information System and Computing Proceeding of Informatics Collaborations and Dessimenation Meeting (Infocoding)
Ummul Karimah
Universitas Ibrahimy
Computer Science & IT

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Klasifikasi Berita Hoaks Di Media Sosial Menggunakan Algoritma Naive Bayes dan RapidMiner Ummul Karimah; Zaehol Fatah
JISCO : Journal of Information System and Computing Vol 3 No 2 (2025): Jurnal of Information System and Computing
Publisher : UIN Sulthan Thaha Saifuddin Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30631/jisco.v3i2.4028

Abstract

The development of information technology and social media has made the distribution of information easier, but it has also increased the prevalence of fake news or hoaxes. This research aims to classify hoax and non-hoax news on social media using the Naïve Bayes algorithm with the assistance of the RapidMiner application. The data used is secondary data obtained from the Kaggle website and processed thru text preprocessing stages including tokenization, stopword removal, stemming, and TF-IDF weighting. The classification process was carried out using the Cross Validation method to measure model performance. The research results show that the Naïve Bayes algorithm has an accuracy of 90.20%, and precision values of 92.25% for the hoax class and 88.33% for the non-hoax class, with recall values of 87.78% and 92.62% respectively. These values indicate that the built classification model can easily identify hoax news. Thus, the Naïve Bayes algorithm has proven to be effective and efficient for use as a method for detecting fake news on social media. Keywords: Naïve Bayes, RapidMiner, Classification, Hoax News, Text Mining
Sistem Informasi Pelayanan Akademik Mahasiswa Fakultas Sains dan Teknologi (SIMPEL-FST) Berbasis Web Ummul Karimah; Abdul Ghofur; Ahmad Lutfi
Proceeding of Informatics Collaborations and Dessimenation Meeting Vol. 2 No. 1 (2026)
Publisher : Universitas Muhammadiyah Surakarta

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Abstract

Pelayanan akademik mahasiswa di Fakultas Sain dan Teknologi masih menghadapi kendala berupa proses yang belum terintegrasi, penggunaan dokumen fisik, serta kurangnya transparasi layanan. Penelitian ini bertujuan untuk merancang dan membangun Sistem Informasi Mahasiswa Berbasis web (SIMPEL-FST) sebagai solusi layanan terpadu (one-stop service).  Método penelitian yang digunakan meliputi penelitian lapangan dan studi pustaka dengan teknik pengumpulan data berupa wawancara, observasi, dokumentasi, dan studi literatur, sedangkan pengembangan sistem menggunakan metode waterfall dengan tahapan analisis kebutuhan, perancangan menggunakan UML, implementasi, dan pengujian. Sistem yang dibangun menyediakan fitur pengajuan layanan akademik, unggah berkas, verifikasi dan persetujuan surat, monitoring status, serta informasi kehadiran dosen. Hasil pengujian menggunakan metode black box testing menunjukkan bahwa seluruh fitur sistem berjalan sesuai dengan kebutuhan fungsional yang telah ditentukan. Dengan demikian, SIMPEL-FST mampu meningkatkan efektivitas dan efisiensi pelayanan akademik serta mempermudah akses layanan bagi mahasiswa dan pengelolaan administrasi bagi pihak fakultas.
Co-Authors Abdul Ghofur Ahmad Lutfi Fatah, Zaehol