Aplikasi Mobile Untuk Pengelolaan Sampah dengan Pengenalan Jenis Sampah Menggunakan Teknologi Computer Vision
DOI:
https://doi.org/10.47065/bulletincsr.v6i1.870Keywords:
Mobile Application; Waste Bank; Computer Vision; Waste Classification; TensorFlow Lite; Waste ManagementAbstract
The increasing volume of household waste that is not managed effectively in Indonesia poses a serious environmental problem, primarily due to the low public awareness in sorting waste by type. Conventional Waste Banks face operational constraints such as manual recording processes and inefficient waste collection. This research aims to develop an integrated solution in the form of a mobile application that combines digital Waste Bank management features with Computer Vision (CV) technology for waste classification. The application is designed to facilitate users in submitting recyclable waste collection requests and provides an educational feature for automatic waste type recognition via the smartphone camera. The development method includes the design of an integrated information system (user application, web admin, and database) and the implementation of a Deep Learning model (CNN) optimized using TensorFlow Lite to run in real-time on Android devices. The system functionality test results indicate that all main features (registration, transactions, balance mutation, and collection requests) operate normally according to the design specifications. This research contributes to providing a functional, transparent system prototype that can serve as an effective educational tool to encourage community participation in sorting and managing waste at the source.
Downloads
References
D. E. Cahyani and D. H. Rahmi, “Faktor-faktor Yang Memengaruhi Pengelolaan Sampah Pada Sekolah Dasar di Kabupaten Bantul,” Jurnal Riset Daerah, vol. 21, no. 2, pp. 3945–3965, 2021, doi: 10.64730/jrdbantul.v21i2.51.
N. Michmidatin and Isnaini Rodiyah, “Strategi Pengelolaan Sampah 3R Di Desa Trawas Kecamatan Trawas Kabupaten Mojokerto,” Journal Publicuho, vol. 7, no. 4, pp. 2267–2284, 2024, doi: 10.35817/publicuho.v7i4.595.
L. P. Aji Primanto, “EVALUASI KEBIJAKAN PENGELOLAAN SAMPAH PLASTIK DI KOTA SEMARANG,” Berajah Journal, vol. 5, no. 2, pp. 157–174, 2025, doi: https://doi.org/10.47353/bj.v5i2.594.
F. Y. N. A. Achmad, “Tantangan Dan Peluang Implementasi Kebijakan Zero Waste Di Kota Baubau,” Journal Publicuho, vol. 7, no. 1, pp. 212–223, 2024, doi: 10.35817/publicuho.v7i1.348.
M. Muttaqin, M. Yusup, M. Syaula, and A. Arya Widodo, “Sistem Informasi Bank Sampah Dalam Meningkatkan Ekonomi dan Pengendalian Dampak Lingkungan di Desa Kota Pari,” Journal Global Tecnology Computer, vol. 4, no. 1, pp. 1–10, 2024, doi: 10.47065/jogtc.v4i1.6388.
R. Alsabt, W. Alkhaldi, Y. A. Adenle, and H. M. Alshuwaikhat, “Optimizing waste management strategies through artificial intelligence and machine learning - An economic and environmental impact study,” Cleaner Waste Systems, vol. 8, no. June, p. 100158, 2024, doi: 10.1016/j.clwas.2024.100158.
I. Shukhratov, A. Pimenov, A. Stepanov, N. Mikhailova, A. Baldycheva, and A. Somov, “Optical detection of plastic waste through computer vision,” Intelligent Systems with Applications, vol. 22, no. November 2023, p. 200341, 2024, doi: 10.1016/j.iswa.2024.200341.
A. Hashina, G. F. Fitriana, and N. A. F. Tanjung, “Pengembangan Aplikasi Pengelolaan Sampah Berbasis Android Studi Kasus Bank Sampah Desa Kalibagor,” Journal of Dinda Kelompok Keahlian Rekayasa Data Institut Teknologi Telkom Purwokerto Vol., vol. 2, no. 2, pp. 97–102, 2022, doi: https://doi.org/10.20895/dinda.v2i2.741.
H. Wijayanto and B. M. Rani, “Pengaduan Publik Berbasis Digital ( Studi Layanan Aduan Ulas Di Kota Surakarta ),” vol. 10, pp. 98–110, 2024.
P. P. Shahnaaz et al., “Implementation of Good Corporate Governance Principles in Pt .,” pp. 1138–1153, 2024, doi: 10.23920/jphp.v1i2.292.1.
K. Utami, Z. Rialmi, R. Nugraheni, and F. Ekonomi, “Analisis Perencanaan Aplikasi Bank Sampah Digital Studi Kasus pada Bank Sampah Solusi Hijau,” Jurnal Penelitian Manajemen Terapan (PENATARAN), vol. 7, no. 1, pp. 34–49, 2021.
M. F. Fahmi and Y. O. Odhianto, “SmartReuse?: Solusi Digitalisasi Sampah untuk Konversi ke Uang Elektronik,” Seminar Nasional Teknologi Dan Sains, vol. 4, no. 1, pp. 563–570, 2025.
S. A. M. Bungo et al., “PERANCANGAN USER INTERFACE ( UI ) DAN USER EXPERIENCE ( UX ) WEBSITE PENERIMAAN PESERTA DIDIK BARU ( PPDB ),” vol. 8, no. 2, pp. 254–265, 2025.
Edy Siswanto, Migunani, and Fazlina Rira Cipty, “Perancangan Sistem Informasi Pengelolaan Bank Sampah Guyub Rukun Berbasis Web Dengan Metode UCD,” Informatika: Jurnal Teknik Informatika dan Multimedia, vol. 2, no. 1, pp. 52–61, 2022, doi: 10.51903/informatika.v2i1.144.
I. Muslem R and T. Johan, “Klasifikasi citra ikan menggunakan algoritma convolutional neural network dengan arsitektur VGG-16,” Kajian Ilmiah Informatika dan Komputer, vol. 4, no. 2, pp. 978–983, 2023, doi: 10.30865/klik.v4i2.1209.
T. N. Sari, M. P. Sari, T. A. Putri, and R. Pashya, “Otomatisasi Klasifikasi Sampah Menggunakan Convolutional Neural Network (CNN) Sebagai Sistem Pendukung Keputusan,” Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi), vol. 9, no. 1, pp. 720–729, 2025.
R. Roslidar, M. R. Syahputra, R. Muharar, and F. Arnia, “Adaptasi Model CNN Terlatih pada Aplikasi Bergerak untuk Klasifikasi Citra Termal Payudara,” Jurnal Rekayasa Elektrika, vol. 18, no. 3, pp. 185–192, 2022, doi: 10.17529/jre.v18i3.8754.
D. B. Olawade et al., “Smart waste management: A paradigm shift enabled by artificial intelligence,” Waste Management Bulletin, vol. 2, no. 2, pp. 244–263, 2024, doi: 10.1016/j.wmb.2024.05.001.
D. Sjödin, V. Parida, M. Palmié, and J. Wincent, “How AI capabilities enable business model innovation: Scaling AI through co-evolutionary processes and feedback loops,” J Bus Res, vol. 134, no. April, pp. 574–587, 2021, doi: 10.1016/j.jbusres.2021.05.009.
Fathihani and Muhammad Al Faruq Abdullah, “Pengelolaan Sampah Menjadi Barang Bernilai Ekonomi di Lingkungan Kelurahan Tanjung Duren,” Jurnal Pengabdian Masyarakat (ANDHARA), vol. 1, no. 2, pp. 9–18, 2021, [Online]. Available: http://jurnal.undira.ac.id/index.php/jpmk/
Z. Yusuf and A. Humaira, “Strategi Pemilihan Bahan Baku Daur Ulang untuk Meningkatkan,” vol. X, no. 1, pp. 12532–12537, 2025.
S. E. Thio and J. Susilo, “Identifikasi Pemilahan Sampah Berbasis Algoritma Transfer Learning CNN Menggunakan MobileNetV2 dan EfficientNetB0,” bit-Tech, vol. 8, no. 1, pp. 25–32, 2025, doi: 10.32877/bt.v8i1.1900.
D. Saputra, M. Rafiq, N. R. Setyoningrum, and H. Setiawan, “Prototipe Smart Solar Tracker System dengan Memanfaatkan Internet Of Things dan Monitoring Berbasis Android,” Digital Transformation Technology, vol. 4, no. 1, pp. 540–549, 2024, doi: 10.47709/digitech.v4i1.4375.
A. F. Pramanda, “Pengembangan Sistem Informasi Penjemputan Sampah Menggunakan Global Positioning System (Gps) Berbasis Android Di Yogyakarta,” The Indonesian Journal of Computer Science Research, vol. 2, no. 2, pp. 9–15, 2023, doi: 10.59095/ijcsr.v2i2.53.
P. Palahudin et al., “Sistem Manajemen Bank Sampah?: Peran Bank Sampah Sebagai Solusi Berkelanjutan Bagi Ekonomi Sirkular,” Archive: Jurnal Pengabdian Kepada Masyarakat, vol. 4, no. 1, pp. 146–155, 2024, doi: 10.55506/arch.v4i1.145.
Y. Zhou et al., “Optimization of automated garbage recognition model based on ResNet-50 and weakly supervised CNN for sustainable urban development,” Alexandria Engineering Journal, vol. 108, no. June, pp. 415–427, 2024, doi: 10.1016/j.aej.2024.07.066.
R. Fajri and F. Fitria, “Pengembangan real-time object detection system pada perangkat single-board computer,” Media Online, vol. 4, no. 2, pp. 1156–1167, 2023, doi: 10.30865/klik.v4i2.1224.
Y. Wang et al., “A survey on deploying mobile deep learning applications: A systemic and technical perspective,” Digital Communications and Networks, vol. 8, no. 1, pp. 1–17, 2022, doi: 10.1016/j.dcan.2021.06.001.
M. Marzuki, M. Hasibuan, D. T. W, R. Rizal, and W. R. Lestari, “Perancangan Aplikasi Bank Sampah Berbasis Website Untuk Kampus Bebas Sampah,” Journal of Digital Literacy and Volunteering, vol. 2, no. 1, pp. 23–30, 2024, doi: 10.57119/litdig.v2i1.77.
M. E. Purba, A. Z. Situmorang, G. L. Br Ginting, M. W. P. Lubis, and F. M. Sinaga, “Klasifikasi Sampah Organik dan Anorganik Menggunakan Algoritma CNN,” Jurnal Sifo Mikroskil, vol. 26, no. 1, pp. 37–54, 2025, doi: 10.55601/jsm.v26i1.1510.
Y. Sun and Z. Wang, “Intrusion detection in IoT and wireless networks using image-based neural network classification,” Appl Soft Comput, vol. 177, no. May, p. 113236, 2025, doi: 10.1016/j.asoc.2025.113236.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Aplikasi Mobile Untuk Pengelolaan Sampah dengan Pengenalan Jenis Sampah Menggunakan Teknologi Computer Vision
ARTICLE HISTORY
How to Cite
Issue
Section
Copyright (c) 2025 Abhirama Garda Nagara Hakh, Rr Hajar Puji Sejati
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).
