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All Journal Jurnal Ilmiah Informatika Komputer Infotech Journal InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Informatics for Educators and Professional : Journal of Informatics Information Management For Educators And Professionals (IMBI) KOPERTIP: Jurnal Ilmiah Manajemen Informatika dan Komputer JURNAL MANAJEMEN INFORMATIKA (JUMIKA) Jurnal Teknologi Informasi dan Multimedia Jurnal Accounting Information System (AIMS) E-Link: Jurnal Teknik Elektro dan Informatika REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer INFORMATIKA Journal of Artificial Intelligence and Engineering Applications (JAIEA) Jurnal Sistem Informasi dan Teknologi (SINTEK) AMMA : Jurnal Pengabdian Masyarakat Jurnal Informatika: Jurnal Pengembangan IT Jurnal Accounting Information System (AIMS) INTERNAL (Information System Journal) Journal Innovations Computer Science Sintek Kuwera
Irfan Ali
STMIK IKMI Cirebon
Humanities Automotive Engineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Nursing Other

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Implementation of Deep Learning Based on Convolutional Neural Network for Detecting Images of Solar Panel Damage in Smart Grid Systems Camelia Putri Lestari; Nining Rahaningsih; Irfan Ali; Dodi Solihudin; Tati Suprapti
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 3 (2026): June 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i3.2225

Abstract

This study aims to implement Deep Learning based on Convolutional Neural Network (CNN) in detecting solar panel damage using thermal images as part of a Smart Grid system. The main problem addressed is the difficulty of early automatic identification of solar panel cell damage using conventional methods. Through the CNN approach, this study developed a classification model to distinguish between damaged (Defective) and undamaged (Non-Defective) solar panel conditions. The research stages included thermal image dataset collection, pre-processing, model training, and performance evaluation. The results showed that the CNN model was able to achieve an accuracy of over 87% with stable performance on the validation data. Visualization using the Grad-CAM method helps interpret the damaged areas that are the focus of the model's decision.
Pengembangan Pembelajaran Interaktif Sejarah Proklamasi Berbasis Game Mobile 2D Menggunakan Metode Game Development Life Cycle Habil Jabbal Firdausyi; Ade Irma Purnamasari; Irfan Ali; Indra Wiguna Marthanu; Fathurrohman Fathurrohman
Journal Innovations Computer Science Vol. 5 No. 1 (2026): May
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v5i1.413

Abstract

The History subject — particularly the Indonesian Proclamation of Independence — has long been delivered through conventional, one-directional methods that leave students disengaged and, in documented cases, visibly saturated. This study designed and developed an interactive digital learning medium as a direct response to that condition. The medium produced is a narrative-driven 2D Mobile Game, built using the Game Development Life Cycle (GDLC) across four phases: Concept, Pre-Production, Production, and Testing. The resulting prototype centers on a slide-controlling mechanism and a sequentially structured historical narrative, with an integrated quiz system embedded at the end of each story chapter. Validation by a Material Expert and a Media/Technology Expert placed the product in the "Highly Feasible" category, with an overall average score of 89.85% — a result that holds across both content accuracy and technical execution. Usability testing returned a System Usability Scale score of 81.0, rated "Excellent" and "Acceptable." These findings suggest the game is a credible alternative medium for reducing learning saturation and raising student engagement with History material.  
Co-Authors Ade Irma Purnamasari Ade Irma Purnamasari Ade Rizki Rinaldi Agus Surip Agus Surip Anwar Pauji Aria Pratama Arif Rinaldi Dikananda Arye Fandia Kusuma Camelia Putri Lestari Candi Prabowo Cep Lukman Rohmat Cep Lukman Rohmat Cep Lukman Rohmat Deffan Febrian Dirmanthara Dian Ade Kurnia Dita Rizki Amalia Dodi Solihudin Edi Tohidi Ega Salsa Nugraha Farid Ali Ma'ruf Farids Al Ma’ruf Fathurrohman Fathurrohman Fatihanursari Dikananda Faujatun Hasanah Firda Pardiana Gifthera Dwilestari Habil Jabbal Firdausyi Hegarmanah Muhabatin Heliyanti Susana Iin Indra Wiguna Marthanu Iqbal Agis Junizar Kaslani Kokom Komariah Lian Siliayani Lutfi Hakim Martanto . Muhamad Aji Pratama Muhammad Abdurohman Muhammad Abib Allesdio Muhammad Aji Pratama Muhammad Fadhilah Mulyawan Mulyawan . Nadia Putri Gantara Nana Suarna Nining Rahaningsih Nining Rahaninsih Nizar Fazari Hidayat Odi Nurdiawan Raditya Danar Dana Ranu Husna Rheznandya Fahreza Ridho Nugraha Riko Saputra Siti Aisyah Sri Ayuningsih Suripno Syaeful Annas Tati Suprapti Tio Prasetiya Tio Prasetya Utami Aryanti Uyu Nuraeni Witriyani Witriyani Yudhistira Arie Wijaya Yuniar Niar