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All Journal ComEngApp : Computer Engineering and Applications Journal Jupiter Annual Research Seminar Sistemasi: Jurnal Sistem Informasi Dinamisia: Jurnal Pengabdian Kepada Masyarakat Journal of Information Technology and Computer Engineering Jurnal Generic Jurnal Mandiri IT
Rahmat Fadli Isnanto
Computer Systems Universitas Sriwijaya Palembang, Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Mathematics Social Sciences Other

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Performance analysis of MobileNetV2 based automatic waste classification using transfer learning Firnando, Ricy; Buchari, Muhammad Ali; Marjusalinah, Anna Dwi; Willy; Abdurahman; Isnanto, Rahmat Fadli
Jurnal Mandiri IT Vol. 14 No. 1 (2025): July: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v14i1.451

Abstract

The significant increase in global waste requires innovative and accessible solutions, which aligns with Sustainable Development Goal (SDG) 12, which focuses on reducing the environmental impact of human activities. Automatic waste sorting using Computer Vision and Deep Learning offers a promising alternative to labor-intensive and risky manual methods. This study presents the design, implementation, and comprehensive performance analysis of an automated waste classification system, with a specific focus on evaluating its feasibility on hardware without specialized GPU accelerators. By leveraging transfer learning on a lightweight Convolutional Neural Network (CNN) architecture, MobileNetV2, a model was trained to classify six common waste categories: cardboard, glass, metal, paper, plastic, and other waste. The public “Garbage Classification” dataset from Kaggle, consisting of 2,527 images, was used as the basis for training and validation. The experiment was conducted using the tensorflow-cpu library, which does not require a dedicated GPU accelerator. After 10 training epochs, the model achieved a significant validation accuracy of 86.73%. Computational performance analysis showed an efficient average training time of 31.17 seconds per epoch and a fast average inference time of 14.47 milliseconds per image (~69 FPS) on the validation dataset. These findings demonstrate the feasibility of developing an effective AI-based waste classification system on hardware without a GPU accelerator, providing a realistic performance benchmark for the development of low-cost smart bins with embedded waste sorting solutions in the future, thereby contributing to sustainable waste management practices.
Scheduling Information System at SMA N 1 Madang Rasuan OKU Timur Kurniawan*, Dedy; Passarella, Rossi; Sutarno, Sutarno; Rifai, Ahmad; Isnanto, Rahmat Fadli; Ubaya, Huda; Exaudi, Kemahyanto; Sari, Purwita; Hanifah, Izzati Millah; Perdani, Tharisa Antya
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 8 No. 1 (2024): Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dinamisia.v8i1.18009

Abstract

The development of technology and information systems is currently so rapid, especially after the corona pandemic era, everything began to use technological assistance, not spared until the elements of the school were required to use technology as a means of learning, one of the considerations of the school in using technology including as a schedule management system. In this website-based scheduling application system for SMAN 1 Madang Suku 1, the author and co-author create a scheduler application that can easily manage schedules that already have integrated data between subjects, teachers, majors, classes at school. the purpose of making this application system is to increase efficiency in the process of scheduling classes and rooms at SMA 1 Madang Rasuan OKU Timur, and also make it easier for students to access the required schedule so that the schedule does not have to be taken at school again. The final result of this research is to produce a web-based application program that can help teachers or school admins to create and manage subject schedules with a good appearance and equipped with various features so that the subject scheduling process becomes more efficient and organized.
Co-Authors A. Noviar Satria Mukti Abdurahman Adi Hermansyah, Adi Aditya Putra Perdana Prasetyo Ahmad Rifai Ariansyah Saputra Asvi, M. Fauzi Bayu Wijaya Putra Buchari, M. Ali Buchari, Muhammad Ali Dedy Kurniawan Dudifa, Aldi Fathoni - Haidar, Rosali Hanifah, Izzati Millah Huda Ubaya Huda Ubaya Kemahyanto Exaudi M. Rudi Sanjaya Marjusalinah, Anna Dwi Muhammad Naufal Rachmatullah Nabillah Syafitri Novi Yusliani Osvari Arsalan Perdani, Tharisa Antya Purwita Sari Purwita Sari, Purwita Ricy Firnando Riyuda, Rafki Sahasika Rizki Kurniati Rizki Ramadandi Rossi Passarella Sarmayanta Sembiring Sitorus, Harlis Richard Sukemi Sutarno Sutarno Syamsuryadi Syamsuryadi Vindriani, Marsella Willy