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All Journal Informatika Journal of Community Outreach in Science & Society
Muhammad Jamaris
Universitas Sains dan Teknologi Indonesia
Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Library & Information Science Other

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PENINGKATAN ALGORITMA C4.5 MENGGUNAKAN ENSEMBLE LEARNING UNTUK MENDETEKSI PENYAKIT GINJAL Agusviyanda Agusviyanda; Rita Novita; Alfa saleh; Muhammad Jamaris
Jurnal Informatika Vol 12, No 3 (2024): INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i3.7542

Abstract

Deteksi dini penyakit ginjal sangat penting untuk menurunkan risiko komplikasi dan meningkatkan prognosis pasien. Permasalahan utama dalam diagnosis penyakit ginjal adalah adanya gejala yang tidak spesifik dan ketidakseimbangan distribusi data pasien. Penelitian ini mengusulkan peningkatan performa algoritma C4.5 untuk deteksi penyakit ginjal dengan mengintegrasikan beberapa tahapan modern, yaitu pra-pemrosesan menggunakan Label Encoder dan Ordinal Encoder untuk mengolah fitur kategorikal, penyeimbangan data menggunakan metode SMOTE-ENN, serta seleksi fitur dengan LASSO. Selanjutnya, model dasar C4.5 ditingkatkan dengan metode ensemble learning menggunakan AdaBoost. Hasil pengujian menunjukkan bahwa integrasi Adaboost pada algoritma C4.5 secara signifikan meningkatkan akurasi deteksi penyakit ginjal dibandingkan model dasar maupun model-model pada penelitian terdahulu. Model terbaik pada penelitian ini mencapai akurasi 99%, melebihi performa XGBoost maupun stacking ensemble pada kasus serupa. Kontribusi penelitian ini menegaskan efektivitas kombinasi boosting, balancing, dan seleksi fitur dalam membangun sistem pendukung keputusan berbasis machine learning untuk diagnosis penyakit ginjal.
Peningkatan Kesadaran Keamanan Siber melalui Edukasi Phishing dan Penipuan Digital bagi Siswa di Pekanbaru Gunadi; Muhammad Jamaris; Susanti; Dewi Sari Wahyuni; T.Sy Eiva Fatdha
JCoos: Journal of Community Outreach in Science & Society Vol. 1 No. 1 (2026): Journal of Community Outreach in Science & Society (JCoos)
Publisher : JCoos: Journal of Community Outreach in Science & Society

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Abstract

The rapid advancement of digital technology has significantly enhanced convenience in daily activities. However, it has also increased the risk of cybercrime, particularly phishing and digital fraud. Students, as active users of the internet and social media, constitute a vulnerable group due to their limited awareness and understanding of cybersecurity practices. This community service initiative was designed to improve students’ awareness and knowledge of phishing threats, various forms of digital fraud, and effective preventive measures applicable in everyday contexts. The program was implemented through interactive outreach sessions, structured presentations, demonstrations of phishing case studies, guided discussions, and evaluations using pre-tests and post-tests to assess participants’ learning outcomes. The activity was held at a school in Pekanbaru City, with lecturers and university students serving as facilitators. The findings demonstrated a notable improvement in participants’ ability to recognize suspicious messages or links, understand the importance of safeguarding personal data, use strong passwords, implement two-factor authentication, and respond appropriately to potential digital fraud. Furthermore, participants exhibited high engagement during discussion sessions and were able to identify various forms of cybercrime commonly encountered in digital environments. This initiative is expected to strengthen digital literacy and enhance students’ preparedness to address cybersecurity challenges in the era of digital transformation.
Co-Authors Agusviyanda Agusviyanda Alfa saleh Dewi Sari Wahyuni Gunadi Rita Novita Susanti T.Sy Eiva Fatdha