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Comparative Analysis of ResNet-50 and VGG16 Architecture Accuracy in Garbage Classification System Yudhis, Putu Yudhis; Fitri Bimantoro; Regania Pasca Rassy
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 9 No 1 (2025): Juni 2025
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v8i1.620

Abstract

Population growth and urbanization have resulted in an exponential increase in waste generation, causing serious environmental and health risks. Garbage classification is essential to optimize the recycling process and minimize waste in landfills. In particular, Convolutional Neural Networks (CNN) and Deep Learning, has shown effectiveness for image classification systems such as waste sorting. This research addresses the gap in comparative analysis of CNN architectures for garbage classification by comparing the performance of VGG16 and ResNet-50. This study's objective is to identify the most effective architecture for categorizing six different categories of garbage: cardboard, glass, metal, paper, plastic, and trash. Using a dataset of 2,467 photos, the models were trained, validated, and tested using improved preprocessing and data augmentation techniques. The results showed that VGG16 obtained slightly greater accuracy (97%) than ResNet-50 (96%), indicating that VGG16 could be a better architecture for garbage classification systems. This study helps further development of automated waste sorting systems for recycling management, paving the way for more sustainable waste solutions. Hope for future research, this study can help in expanding the dataset, then using other architectures to improve the accuracy of the model, and help people to process garbage according to the type.
English Language Febriyanto; Regania Pasca Rassy; Halil Akhyar; Muhammad Iqbal Raissilki
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 9 No 2 (2025): December 2025
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v9i2.653

Abstract

The rapid development of immersive technology, particularly Augmented Reality (AR), has significantly supported the digitization of infrastructure in the Fourth Industrial Revolution. In the property industry, conventional visualization media such as two-dimensional (2D) floor plans are often difficult for non-technical users to interpret. This study develops an Android-based application, AR Site Visualization, that converts 2D floor plans into interactive three-dimensional (3D) models in real time. The development applied the Multimedia Development Life Cycle (MDLC) framework with six stages, employing Unity, Vuforia SDK, and Lean Touch for feature integration. The 3D models were created using SketchUp and Enscape to ensure realistic visualization. Evaluation through Black Box Testing and formative assessments demonstrated that all features, including marker scanning, 3D visualization, rotation, zoom, and translation, worked effectively, achieving a feasibility score of 71.5%. The results indicate that AR Site Visualization enhances spatial understanding and improves design communication users.
Edukasi Terpadu Berbasis Komunitas Melalui Pendekatan Smart Village Untuk Mendukung Program Kampung Iklim Rachmat Mulyana; Darwin Darwin; Novrizaldi Wardana; Mita Dwi Putri; Wahyu Hutria; Esi Emilia; Kasmita Kasmita; Regania Pasca Rassy; Muhammad Iqbal Raissilki; Wisnu Prayogo; Edo Berlian
Jurnal Kreativitas Pengabdian Kepada Masyarakat (PKM) Vol 9, No 6 (2026): Volume 9 Nomor 6 (2026)
Publisher : Universitas Malahayati Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33024/jkpm.v9i6.25898

Abstract

ABSTRAK Fenomena iklim ekstrim yang semakin meningkat dalam beberapa tahun terakhir telah memicu berbagai permasalahan lingkungan di wilayah perkotaan, salah satunya meningkatnya frekuensi kejadian banjir. Penyebab lain ditemukan kondisi lingkungan perkotaan, serta rendahnya kapasitas pengelolaan lingkungan berbasis masyarakat. Program Kampung Iklim (Proklim) dengan pendekatan Smart Village menjadi salah satu strategi untuk pemberdayaan masyarakat dalam mengatasi permasalahan lingkungan. Kegiatan pengabdian ini bertujuan untuk mengembangkan model pemberdayaan masyarakat berbasis Smart Village guna mendukung penguatan Kampung Iklim di Kota Medan. Mitra kegiatan adalah komunitas sekolah SDIT Amrullah Akbar. Solusi yang ditawarkan dengan melakukan (1) Desain Taman edukasi lingkungan, (2) Edukasi Siswa dan Peran orang tua dalam penguatan kampung iklim, (3) Pemanfaatan pekarangan sekolah dengan Vertikal farming, Budikdamber dan (4) Fasilitasi pengakuan komunitas kampung iklim. Metode pelaksanaan menggunakan pendekatan edukatif dan partisipatif melalui kegiatan sosialisasi, pelatihan, praktik lapangan, serta pendampingan berkelanjutan. Target luaran mencakup peningkatan jumlah kampung iklim, meningkatnya partisipasi masyarakat, terbentuknya sistem bank sampah digital, serta pengakuan komunitas SDIT Amrullah Akbar sebagai salah satu kampung iklim. Program ini telah mendukung mitigasi dan adaptasi perubahan iklim berbasis teknologi dan pemberdayaan masyarakat menuju lingkungan tangguh dan berkelanjutan. Masyarakat yang tergabung dalam komunitas SDIT Amrullah Akbar mulai mengimplementasikan teknologi sederhana seperti komposter, vertikultur, dan lampu LED hemat energi sebagai bagian dari upaya mitigasi perubahan iklim. Penerapan teknologi tepat guna tersebut terbukti membantu mengurangi timbulan sampah, menambah ruang hijau, dan menekan emisi karbon di lingkungan sekitar. Kata Kunci: Edukasi, Komunitas, Kampung Iklim, Smart Village. ABSTRACT The increasing frequency of extreme climate events in recent years has contributed to various environmental challenges in urban areas, particularly the rising incidence of flooding. Contributing factors include suboptimal urban environmental conditions and limited community capacity in environmental management. The Climate Village Program, implemented through a Smart Village approach, represents a strategic framework for community empowerment in addressing these environmental issues. This community service initiative aimed to develop a Smart Village–based community empowerment model to strengthen the Climate Village Program in Medan City. The project partner was the SDIT Amrullah Akbar school community. The proposed interventions included: (1) the development of an environmental education park; (2) student education and parental engagement in strengthening the Climate Village initiative; (3) optimization of schoolyard utilization through vertical farming and Budikdamber (fish cultivation in buckets); and (4) facilitation of formal recognition as a Climate Village community. The program was implemented using an educational and participatory approach through socialization sessions, training, field practice, and continuous mentoring. The targeted outcomes included an increase in the number of Climate Villages, enhanced community participation, the establishment of a digital waste bank system, and official recognition of the SDIT Amrullah Akbar community as a Climate Village. The program contributed to technology-based climate change mitigation and adaptation efforts while promoting community empowerment toward a resilient and sustainable environment. The community has begun adopting simple technologies, such as composting, vertical gardening, and energy-efficient LED lighting, as part of climate mitigation strategies. The implementation of these appropriate technologies has demonstrably reduced waste generation, expanded green spaces, and lowered carbon emissions in the surrounding environment. Keywords: Education, Community Empowerment, Climate Village, Smart Village.