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All Journal Jurnal Sains dan Teknologi CESS (Journal of Computer Engineering, System and Science) Edu Elektrika Journal JETT (Jurnal Elektro dan Telekomunikasi Terapan) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Pengabdian Masyarakat Borneo Jurnal Riset Rekayasa Elektro Jurnal Abdi Insani Journal of Telecommunication, Electronics and Control Engineering (JTECE) Techno eProceedings of Engineering RENATA Jurnal Pengabdian Masyarakat Kita Semua El-Mujtama: Jurnal Pengabdian Masyarakat Jurnal Medika: Medika Jurnal SINTA: Sistem Informasi dan Teknologi Komputasi Jurnal Teknik Elektro Journal of Information Technology and its Utilization
Pradana, Zein Hanni
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Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Penerapan Jaringan Fiber Optik untuk Meningkatkan Keamanan dan Stabilitas Layanan RT/RW Net Berbasis Pemberdayaan Pemuda Ginting, Jafaruddin Gusti Amri; Pranindito, Dadiek; Suryaningtiyas, Yosita Dwiani; Pradana, Zein Hanni
El-Mujtama: Jurnal Pengabdian Masyarakat  Vol. 6 No. 1 (2026): El-Mujtama: Jurnal Pengabdian Masyarakat
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

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Abstract

Limited internet service quality remains a major challenge in community-based RT/RW Net networks that rely on copper cables, mainly due to their vulnerability to lightning strikes and technical disturbances. This condition affects educational activities, religious services, and community-based economic activities, including home-based micro-enterprises and digital religious outreach. This community service program aims to modernize network infrastructure through the implementation of fiber optic technology that provides higher stability, safety, and sustainability, while strengthening local capacity in network management through technical and managerial training for youth groups. The implementation stages include coordination with community partners, deployment of fiber optic networks, network planning simulation using OptiSystem to ensure optical attenuation remains within safe limits, training on RT/RW Net management supported by cloud-based documentation systems, and hands-on training on fiber optic installation and MikroTik router configuration. The results show that the fiber optic network has been successfully implemented and currently serves 11 households and one mosque that regularly utilizes internet access for weekly live-streamed religious lectures. From a technical perspective, the fiber optic infrastructure improves network stability and reduces the risk of equipment damage caused by lightning. From social and economic perspective, reliable internet access supports distance learning, digital religious activities, and the operation of home-based micro-enterprises. The active involvement of local youth in installation and training activities enhances local technical capacity and contributes to the sustainability of the RT/RW Net system. This program demonstrates that fiber optic deployment combined with community empowerment can serve as an effective model for community-based digital infrastructure development.
Performance Comparison of VGG16 and VGG19 Architectures for Corn Leaf Disease Classification Dwi Rezeki, Nofitasari; Hanni Pradana, Zein; Panji Kusuma Praja, Muhammad
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 10 No 2 (2026): April 2026
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v10i2.5956

Abstract

Corn (Zea Mays L.) faces challenges from leaf diseases, which become severe when farmers lack the expertise to recognize and manage them. This study presents a comparative analysis of VGG16 and VGG19 architectures for detecting corn leaf diseases, highlighting their performance under standardized conditions using transfer learning. The novelty of this study lies in the direct benchmarking of both models across multiple image resolutions and training epochs, which has not been comprehensively explored in previous studies. The system categorizes diseases based on images, thereby helping farmers manage corn leaf diseases more effectively. The VGG16 architecture was chosen for its balance of depth and computational efficiency, while VGG19 offers higher accuracy due to its increased layer depth and complexity. This system is expected to assist farmers in detecting corn leaf diseases more efficiently and accurately than previously possible. The dataset used in this study consists of 4198 images, divided into four categories: Healthy, Blight, Common Rust, and Gray Leaf Spot. The dataset was split into 80% for training and 20% for testing purposes. The classification results using 2 architectures, VGG16 and VGG19, with the use of the SGD optimiser, show that VGG19 outperforms VGG16. The VGG19 model demonstrated a performance level of 92.74% accuracy, alongside 91% for precision, recall, and F1-score. In comparison, VGG16 achieved a slightly lower accuracy of 92.62%, with precision at 91%, recall at 89%, and an F1-score of 90%. This performance variance is attributed to the architectural depth, as VGG19 utilizes 19 layers while VGG16 is limited to 16. Ultimately, this tool aims to provide farmers with a more precise and streamlined method for identifying corn foliage conditions.
Co-Authors Ade Wahyudin Ade Wahyudin Afandi, Mas Aly Alfataniah Nur Fajrina Amrulloh, Abdul Fatah Ayuningtyas, Retno Dwi Azzahra, Galuh Dwi Br Perangin-angin, Syifa Lestari Catur Nugroho Cornelius, Yuwan Dadiek Pranindito Dwi Rezeki, Nofitasari Dwisetyarini, Febrianti Fauza Khair Febiyani, Eva Gunawan Wibisono Hanin Nafi'ah Husaini, M. Arif Indah Permatasari Indah Permatasari Irmayatul Hikmah Jafaruddin Gusti Amri Ginting Khairul Luthfi, Naufal Khoirun Ni'amah Khoirun Ni'amah KHOIRUN NI’AMAH Kristianto, Giovanny Bangun Mahardika Mertiana, Eva Muhammad Azhar Muhammad Panji Kusuma Praja Nada Fitri, Refia Niamah, Khoirun Ni’amah, Khoirun Ningrum, Ema Wahyu Nirmayrahayu, Yenny Pranindhito, Dadiek Raditya Artha Rochmanto Ramadan, Alfiansyah Rifqi Althaaf, Muhammad Rizky Ramadhan, Raffi Rizqy Adzani, Seftira Sevia Indah Purnama Shinta Romadhona Shinta Romadhona Solichah Larasati Suryaningtiyas, Yosita Dwiani Talenta Pasaribu, Tabitha Tenia Wahyuningrum Utti Marina Rifanti Wirakhmi, Ikit Netra Wulandari . YULIAN ZETTA MAULANA