Article Per Year (5 Year)
p-Index From 2021 - 2026
1.908
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering Kitektro Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) kawanad Jurnal Pengabdian Rekayasa dan Wirausaha
Hubbul Walidainy
Unknown Affiliation
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering

Published : 13 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 13 Documents
Search

 1   2 
Program Pelatihan Pemasangan Instalasi Listrik Gedung dan Daya bagi Pemuda Kopelma Darussalam Lubis, Rakhmad Syafutra; Siregar, Ramdhan Halid; Walidainy, Hubbul; Syukri, Mahdi; Jalil, Saifuddin Muhammad
Kawanad : Jurnal Pengabdian kepada Masyarakat Vol. 3 No. 2 (2024): October
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/kjpkm.v3i2.225

Abstract

The Training Program on Building Electrical and Power Installation for Kopelma Darussalam Youth is designed to enhance the technical skills of the younger generation in the electrical field. This program aims to equip participants with both theoretical knowledge and practical experience related to the installation of electrical systems in buildings, including lighting systems and power distribution networks. The training covers topics such as the introduction to electrical components, installation planning, installation techniques, safety standards, and troubleshooting electrical systems.The primary target of this program is local youth with potential to develop technical competence in the electrical sector, enabling them to compete in the workforce or establish independent businesses. By employing a project-based approach, participants are expected to apply their skills professionally and in compliance with industry standards. Furthermore, this program contributes to empowering youth as valuable community assets to support sustainable local development.
Dampak Implementasi Sistem Informasi Gampong (SIGAP) pada Digitalisasi Administrasi Desa dalam Konsep Smart Village Initiative di Gampong Luthu Lamweu, Aceh Besar Al Bahri; Safrizal Razali; Maimun; Aulia Rahman; Sayed Muchallil; Hubbul Walidainy
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 3 (2025): JULI-SEPTEMBER 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i3.3345

Abstract

A quantitative descriptive approach with a retrospective pre-test design was used to assess changes in community perceptions through a Likert-scale questionnaire covering seven key indicators, including service speed, data accessibility, and digital literacy. Results show significant improvements across all indicators, with the highest gains in data access (21%) and administrative transparency (20%). These outcomes highlight SIGAP’s potential to strengthen technology-driven governance and foster community engagement in smart village development. The findings offer practical implications for rural digital transformation and the implementation of information systems in other local contexts.
Ensemble Voting Method to Enhance the Performance of a Dental Caries Detection System using Convolutional Neural Network Putri Rizkiah; Maulisa Oktiana; Khairun Saddami; Maya Fitria; Fitri Arnia; Hubbul Walidainy; Yunida Yunida
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 8 No 2 (2026): April
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v8i2.1343

Abstract

Individual classification models for caries detection still face significant challenges, including limited accuracy and unstable predictions, which can hinder diagnosis, delay clinical decisions, and increase the risks associated with patient care. To overcome these limitations, this study proposes an ensemble voting method that combines five deep learning models, such as ResNet-152, MobileNetV2, InceptionV3, NASNetMobile, and EfficientNet-B5. This approach aims to enhance the accuracy and stability of caries detection by leveraging the complementary strengths of the individual models while mitigating their weaknesses. Each model was trained and tested on the same dataset of dental images, categorized into caries and regular classes. Their predictions were aggregated using hard and soft voting techniques. The ensemble's performance was evaluated using accuracy, precision, recall, and F1-score. The ensemble voting demonstrates a notable improvement in classification performance over individual models. Hard and soft voting have excellent classification performance and consistently outperform the best individual models. The accuracy increased from EfficientNetB5 0.8485 to 0.8864 and 0.8712, representing increases of 4.46% and 2.68%, respectively. The precision increased from MobileNetV2 0.8182 to 0.8493 and 0.8551, representing increases of 3.81% and 4.52%. For recall, EfficientNetB5 ranked highest among individual models with a score of 0.9242. Hard voting increased 1.64% to 0.9394, and soft voting decreased slightly by 3.28% to 0.8939. The F1 score of EfficientNetB5 is 0.8592. Hard and soft voting increased 3.83% and 1.73% to 0.8921 and 0.8741. The proposed ensemble improves the F1-score by 3.83 percentage points compared to the best individual model. The ensemble voting method effectively leverages the complementary strengths of each deep learning model to improve the stability and accuracy of fast, reliable dental caries early detection prediction.
Co-Authors Achmad, Ilham Adriman, Ramzi Ahmadiar Ahmadiar Akhyar Bintang Al Bahri Albar, Nizam Ali Djamhuri Andi Risky Maulana Aulia Rahman Fathurrahman Fathurrahman Fauzan Akbarrizky Ferry Ferry Fitri Arnia Khairun Saddami Lubis, Rakhmad Syafutra Mahdi Syukri Maimun Masri Masri Maulana, Muhammad Iqbal Maulisa Oktiana Maya Fitria Melinda Melinda Muhammad Irhamsyah Putra, T. Edisah Putri Rizkiah Rakhmad Syafutra Lubis Ramdhan Halid Siregar Rizal Munadi Safrizal Razali Saifuddin Muhammad Jalil Sayed Muchallil Syahrial Syahrial T. Edisah Putra Teuku Yuliar Arif Yunida, Yunida Zulfahmi Helmi Zulfikar Zulfikar