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All Journal ComEngApp : Computer Engineering and Applications Journal Techno.Com: Jurnal Teknologi Informasi Jurnal Edukasi dan Penelitian Informatika (JEPIN) Format : Jurnal Imiah Teknik Informatika Jurnal Informatika Faktor Exacta Jurnal Pengabdian Pada Masyarakat ILKOM Jurnal Ilmiah IJISCS (International Journal Of Information System and Computer Science) Techno Xplore : Jurnal Ilmu Komputer dan Teknologi Informasi Jurnal Pengabdian Masyarakat Asia Computer Science (CO-SCIENCE) Jurnal Pengabdian Masyarakat - Teknologi Digital Indonesia Journal of Systems Engineering and Information Technology Hexagon Jurnal Pengabdian Masyarakat Nasional IJISCS (International Journal of Information System and Computer Science)
Wawan Gunawan
Universitas Mercu Buana
Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Social Sciences Other

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PEMANFAATAN APLIKASI VIDEO GENERATOR AI UNTUK PEMBELAJARAN LMS DI SD NEGERI PETIR 3 - CIPONDOH Dwiki Jatikusumo; Wawan Gunawan; Hery Derajad Wijaya
Jurnal Pengabdian Masyarakat Nasional Vol 6, No 1 (2026)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/pemanas.v6i1.37198

Abstract

Perkembangan teknologi informasi menuntut sekolah dasar untuk mengintegrasikan pembelajaran digital yang efektif. SD Negeri Petir 3 Cipondoh masih menghadapi keterbatasan dalam pemanfaatan Learning Management System (LMS), minimnya konten interaktif, serta rendahnya kompetensi guru dalam mengelola media digital. Program ini bertujuan meningkatkan kompetensi guru digital melalui pemanfaatan aplikasi video generator untuk menciptakan materi pembelajaran yang menarik, mudah dipahami, dan sesuai karakter siswa generasi digital. Kegiatan ini juga mendukung pemanfaatan sarana TIK sekolah, menyediakan modul pembelajaran mandiri, serta membentuk tim kreatif sekolah sebagai agen inovasi. Hasil yang diharapkan adalah optimalisasi pembelajaran berbasis teknologi, peningkatan partisipasi siswa, serta replikasi best practice sehingga SD Negeri Petir 3 dapat menjadi sekolah percontohan integrasi teknologi pendidikan dasar.
PEMANFAATAN APLIKASI VIDEO GENERATOR AI UNTUK PEMBELAJARAN LMS DI SD NEGERI PETIR 3 - CIPONDOH Dwiki Jatikusumo; Wawan Gunawan; Hery Derajad Wijaya
Jurnal Pengabdian Masyarakat Nasional Vol. 6 No. 1 (2026)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/pemanas.v6i1.37198

Abstract

Perkembangan teknologi informasi menuntut sekolah dasar untuk mengintegrasikan pembelajaran digital yang efektif. SD Negeri Petir 3 Cipondoh masih menghadapi keterbatasan dalam pemanfaatan Learning Management System (LMS), minimnya konten interaktif, serta rendahnya kompetensi guru dalam mengelola media digital. Program ini bertujuan meningkatkan kompetensi guru digital melalui pemanfaatan aplikasi video generator untuk menciptakan materi pembelajaran yang menarik, mudah dipahami, dan sesuai karakter siswa generasi digital. Kegiatan ini juga mendukung pemanfaatan sarana TIK sekolah, menyediakan modul pembelajaran mandiri, serta membentuk tim kreatif sekolah sebagai agen inovasi. Hasil yang diharapkan adalah optimalisasi pembelajaran berbasis teknologi, peningkatan partisipasi siswa, serta replikasi best practice sehingga SD Negeri Petir 3 dapat menjadi sekolah percontohan integrasi teknologi pendidikan dasar.
Feature Comparison of RN-SMOTE and DBSCAN-SMOTE for Handling Imbalanced Data Rias Akmal Sembiring; Wawan Gunawan
Computer Science (CO-SCIENCE) Vol. 6 No. 2 (2026): July 2026
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/co-science.v6i2.12250

Abstract

HIV classification using machine learning is often challenged by severe class imbalance, which may reduce predictive reliability and bias classification models toward the majority class. This study aims to compare the effectiveness of two hybrid oversampling techniques, namely SMOTE-DBSCAN and RN-SMOTE, in improving HIV classification performance using an Indonesian HIV dataset. The dataset was obtained from a Non-Governmental Organization (NGO) and initially consisted of 707,389 records with 90 attributes. After data preprocessing, 148,408 validated records with 30 attributes were retained, comprising 135,739 non-reactive and 12,668 reactive HIV cases, indicating a substantial class imbalance. Two feature configurations derived from previous HIV studies were evaluated using SMOTE-DBSCAN and RN-SMOTE. To prevent data leakage, the dataset was partitioned using a stratified 80:20 train-test split before oversampling, while model validation was performed using 10-fold cross-validation on the training data. The balanced datasets were subsequently evaluated using eight classification algorithms. Experimental results demonstrate that RN-SMOTE consistently outperformed SMOTE-DBSCAN across both feature configurations, while Random Forest achieved the best overall predictive performance. Although SMOTE-DBSCAN required less computational time during the balancing process, RN-SMOTE produced more robust classification performance by generating cleaner and more representative minority-class samples. These findings demonstrate the effectiveness of noise-aware hybrid oversampling strategies for improving HIV classification on highly imbalanced datasets and provide practical insights for developing reliable machine learning models to support HIV surveillance and public health decision-making
Co-Authors Achmad Santoso Agung Lesmana Anggi Puspitasari, Anggi Bachri, Chris Moulana Bambang Sukowo Desi Ramayanti Desti Listiani Devi Fitrianah Diwiryo, Bagus Seno Prasetyo Dwiki Jatikusumo Dwityo Fauzan Nugroho Eliyani Eliyani Eliyani, Eliyani Eugenius Kau Suni Faishal, Imam Ibnu Fajar Rizky Firmansyah, Muhammad Riski Herry Derajad Wijaya Herry Derajad Wijaya Hery Derajad Wijaya Hidayat, Rahmat Rian Ibrahim Mahardika Seno Indriyanti, Prastika Ivan Anggriawan Mardani, Latif Dwi Misbah Ramadani Muhamamd Valensyah Alfansyuri Muhammad Riski Firmansyah Muhammad Yusuf Rizqon Rangkuti Novia Nurrohmah Reza Avrizal Rias Akmal Sembiring Ridwan, Wawan Sari, Anggi Puspita Saruni Dwiasnati Susafaati SUF Susafaati, Susafaati Sutan M Arif Triyono, Gandung Wahyuningram, Nugroho Wibowo, Arief Yudo Devianto