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All Journal Jurnal Informatika dan Teknik Elektro Terapan Sinkron : Jurnal dan Penelitian Teknik Informatika Bina Insani ICT Journal Jurnal Pilar Nusa Mandiri Jurnal Teknologi Komputer dan Sistem Informasi Journal of Research in Business, Economics, and Education INFOKUM Journal of Industrial Engineering & Management Research (JIEMAR) Journal of Community Service and Engagement Akasia: Artikel Ilmiah Sistem Informasi Akuntansi Jurnal Minfo Polgan (JMP) Jurnal Akuntansi Dan Bisnis Indonesia (JABISI) Joong-Ki : Jurnal Pengabdian Masyarakat Journal of Artificial Intelligence and Engineering Applications (JAIEA) Jurnal Akuntansi dan Manajemen Bisnis (JAMAN) Jurnal Abdi Masyarakat Multidisiplin Digital Transformation Technology (Digitech) Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal Multidisiplin Sahombu Nanggroe: Journal Of Scholarly Service Nanggroe: Journal of Scholarly Service Joong-Ki Jurnal Pengabdian Kepada Masyarakat Kalam Joong-Ki Pengabdian Kepada Masyarakat Indonesia SEAN (ABDIMAS SEAN) JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Jurnal Komputer, Informasi dan Teknologi
Euis Widanengsih
Universitas Bina Sarana Informatika
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Spam Message Classification Using the Naïve Bayes Algorithm Based on RapidMiner Muhamad Yusup; Mochamad Isham Fadillah; Rifky Adinanta Fauzanie; Risca Lusiana Pratiwi; Rani Irma Handayani; Euis Widanengsih
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 2 (2026): February 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i2.1811

Abstract

This study implements the Naïve Bayes algorithm for classifying spam and non-spam (ham) messages using the RapidMiner Studio platform. The dataset used was obtained from the SMS Spam Collection Dataset on the Kaggle platform, which consists of 5,759 messages with a distribution of 4,075 ham messages and 1,291 spam messages. The research stages included text pre-processing, model training, and performance evaluation using accuracy, precision, recall, and F1-score metrics. The experimental results showed that the Naïve Bayes model achieved an accuracy of 89.64% with a precision of 56.93%, a recall of 100%, and an F1-score of 72.56%. The research findings indicate that the Naïve Bayes algorithm is effective in detecting spam messages with adequate accuracy, and prove that RapidMiner is an efficient tool for implementing machine learning methods in text classification.
TRANSFORMASI DIGITAL MELALUI PELATIHAN DASAR DAN LANJUTAN MICROSOFT EXCEL BAGI GURU HIMPAUDI Aryo Tunjung Kusumo; Henny Destiana; Fajar Agustini; Euis Widanengsih
Pengabdian Kepada Masyarakat Indonesia SEAN (ABDIMAS SEAN) Vol. 3 No. 02 (2025): Pengabdian Kepada Masyarakat Indonesia SEAN (ABDIMAS SEAN), 2025
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/abdimassean.v3i02.761

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan literasi digital dan keterampilan guru-guru HIMPAUDI Cempaka Putih Jakarta Pusat dalam memanfaatkan aplikasi Microsoft Excel sebagai alat bantu administrasi dan pengelolaan data. Pelatihan dilaksanakan melalui pendekatan ceramah, tutorial, dan praktik langsung agar peserta mampu memahami fungsi dasar hingga lanjutan dalam pengolahan data pendidikan. Program ini juga dirancang untuk menjawab kebutuhan peningkatan kompetensi teknologi di kalangan pendidik PAUD agar dapat bekerja lebih efektif, efisien, dan mandiri dalam kegiatan organisasi maupun sekolah. Hasil kegiatan menunjukkan peningkatan pengetahuan dan kemampuan peserta dalam mengoperasikan Excel untuk berbagai keperluan administrasi. Kegiatan ini berkontribusi pada penguatan kapasitas guru HIMPAUDI menuju transformasi digital pendidikan anak usia dini yang berkelanjutan.
Co-Authors AA Sudharmawan, AA Abdul Khoir Amalia Fitriyani Aryo Tunjung Kusumo Aryo Tunjung Kusumo Bagoes Pangestu Desi Nursarifah Fajar Agustini Fatih Al Farizi Gathot Pujo Sanyoto, Gathot Pujo Henny Destiana Hernando, Alvin Ishak Komarudin Kevin Ananda Maas Kurniadi, Win Kusumo, Aryo Tunjung Maisyaroh Maisyaroh Martua Hami Siregar Mochamad Isham Fadillah Muhamad Arifin Ilhan Muhamad Yusup Muhammad Annajmuts Tsaqib Munawaroh, Enggar Tyastiwi Pratiwi, Risca Lusiana Rahman Faisal Rani Irma Handayani Rani Irma Handayani Rani Irma Handayani, Rani Irma Rifky Adinanta Fauzanie Risca Lusiana Pratiwi Risca Lusiana Pratiwi Rizki Darmawan Suwanto Suwanto Win Kurniadi Win Kurniadi Yusuf Yusuf Yusuf Yusuf Yusuf Yut, Immanuel Vico