Analisis Akurasi Sensor Piezoelektrik dalam Mendeteksi Intensitas Sampah pada Sistem Smart Waste Management
DOI:
https://doi.org/10.65359/sintika.2026.21.47Keywords:
Sensor Piezoelektrik, Internet Of Things, Deteksi Getaran, Pengelolaan Sampah, ESP32Abstract
Pengelolaan sampah di wilayah perkotaan sering menghadapi ketidakefisienan akibat kurangnya data real-time mengenai volume sampah, yang berdampak pada rute pengangkutan yang kurang optimal. Penelitian ini bertujuan untuk mengevaluasi efektivitas penggunaan sensor getaran piezoelektrik berbasis Internet of Things (IoT) sebagai alternatif berbiaya rendah dalam mendeteksi intensitas pembuangan sampah. Metode prototyping diterapkan dengan menggunakan mikrokontroler ESP32 yang terintegrasi dengan platform cloud ThingSpeak, serta penerapan algoritma debouncing berbasis interval waktu untuk meminimalkan pembacaan ganda akibat sisa getaran. Pengujian dilakukan dengan memvariasikan jenis objek sampah pada media kardus sebagai simulasi tempat sampah. Hasil penelitian menunjukkan bahwa sistem mencapai tingkat keberhasilan 100% dalam pengiriman data ke cloud pada interval pembuangan lebih dari 16 detik, meskipun ditemukan kendala dalam mendeteksi sampah berbobot ringan (kurang dari 5 gram) sehingga memerlukan kalibrasi ambang batas yang presisi. Secara keseluruhan, metode deteksi berbasis getaran dinilai layak diterapkan dan lebih ekonomis dibandingkan sensor ultrasonik, meskipun memerlukan penyesuaian mekanis pada material tempat sampah untuk mencapai kinerja optimal.
Downloads
References
Bintang, R., & Azhar, Y. (2024). Implementasi data augmentation untuk klasifikasi sampah organik dan non organik menggunakan inception-v3. JISKA (Jurnal Informatika Sunan Kalijaga), 9(3), 192-204. https://doi.org/10.14421/jiska.2024.9.3.192-204
Hendradi, P. ., & Wahyono, A. (2025). Pemodelan Sistem Informasi Berbasis IoT untuk Optimasi Pengelolaan Sampah Perkotaan (Studi Kasus: Pemantauan Level Tempat Sampah Pintar. JURNAL TECHLINK, 9(1), 16–30. https://doi.org/10.59134/jtnk.v9i1.690
Hendradi, P., Kurniawan, W., Dewi, Y. S., Kusumawati, K., Nurhayati, N., & Chafid, N. (2025). Pelatihan Aplikasi Bank Sampah Berbasis Web Pada Bank Sampah Berkah Sejahtera Desa Rawa Panjang. Jurnal AbdiMas Nusa Mandiri, 7(1), 1-8. https://doi.org/10.33480/abdimas.v7i1.6112
Hidayat, R., & Minati, S. (2019). Comparative Analysis of Text Mining Classification Algorithms for English and Indonesian Qur’an Translation. IJID (International Journal on Informatics for Development), 8(1), 47-51. https://doi.org/10.14421/ijid.2019.08108
Ikhsan, I. N. K., Ayu Prihatini, T., & Rahmat Sapala, A. (2023). Tempat Sampah Pintar berbasis IOT Menggunkan Sensor Ultrasonic dan Motor Servo. Cloud Information Journal, 10(1), 16–21. Retrieved from https://journal.fkom.uniku.ac.id/cloudinformation/article/view/459
Jaya, F. N., Ardiansya, T. ., Adriani, & Ridwang. (2024). Perancangan Smart Trash Menggunakan Mikrokontroler Nodemcu Berbasis Iot (Internet of Things). Arus Jurnal Sains Dan Teknologi, 2(2), 310–319. https://doi.org/10.57250/ajst.v2i2.573
Kementerian Lingkungan Hidup dan Kehutanan. (2022). SIPSN - Sistem Informasi Pengelolaan Sampah Nasional. Kementerian Lingkungan Hidup Dan Kehutanan. https://sipsn.menlhk.go.id/sipsn/
Kolok, P., Hodoň, M., Ševčík, P., Hotz, L., & Remy, N. (2025). Low-Cost IoT-Based Predictive Maintenance Using Vibration. Sensors, 25(21), 6610. https://doi.org/10.3390/s25216610
Manik, S. L. C., Berawi, M. A., Gunawan, G., & Sari, M. (2024). Smart Waste Management System for Smart & Sustainable City of Indonesia’s New State Capital: A Literature Review. In E3S Web of Conferences (Vol. 517, p. 05021). EDP Sciences. https://doi.org/10.1051/e3sconf/202451705021
Nuruzzaman, M. T., & Ferng, H. W. (2016). A Low Energy Consumption Routing Protocol for Mobile Sensor Networks with a Path-constrained Mobile Sink. 2016 IEEE International Conference on Communications, 1–6. https://doi.org/10.1109/ICC.2016.7511316
Nuruzzaman, M. T., Lee, C., Abdullah, M. F. A. Bin, & Choi, D. (2012). Simple SMS Spam Filtering on Independent Mobile Phone. Security and Communication Networks, 5(10), 1209–1220. https://doi.org/10.1002/sec.577
Prastyabudi, W. A., & Permata, O. A. (2021). A conceptual design of waste management: Smart bin deployment in Surabaya smart city. Acta Mechanica Malaysia (AMM), 4(1), 05-09.Chaer, A. (1994). Linguistik Umum. Rineka Cipta. http://doi.org/10.26480/amm.01.2021.05.09
Priyansah, A., Adam, M., Arrahman, T., & Sakdiyah, N. (2025). Kotak Sampah Pintar berbasis IoT Menggunakan ESP 32 dan Sensor Ultrasonik. Journal of Telecommunication Electronics and Control Engineering (JTECE), 7(2), 176-187. https://doi.org/10.20895/jtece.v7i2.1844
Saleem, R. (2011). Cloud Computing’s Effect on Enterprises. Lund University.
Sarmila, S., Achmad, A., & Arda, A. L. (2025). Smart Waste Management Monitoring and Control Analysis Based on Objects Based on Smart Systems and Internet of Things. Journal of Applied Informatics and Computing, 9(6), 3831–3839. https://doi.org/10.30871/jaic.v9i6.11281
Yu, Y., Qin, X., Hussain, S., Hou, W., & Weis, T. (2022). Pedestrian Counting Based on Piezoelectric Vibration Sensor. Applied Sciences, 12(4), 1920. https://doi.org/10.3390/app12041920
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Nuansa Abdi Muhammad, Sujono (Author)
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Copyright & Licensing Policy
Copyright
The copyright of all articles published in JURNAL SINTIKA (Journal of Information Systems, Informatics Engineering, and Computer Systems) remains with the respective author(s). Authors retain full copyright ownership of their work while granting JURNAL SINTIKA the right of first publication.
Upon publication, authors agree that their articles will be distributed under the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) License.
Under this license, users are free to:
- Share – Copy and redistribute the material in any medium or format.
- Adapt – Remix, transform, and build upon the material for any purpose, including commercial use.
These permissions are granted provided that the following conditions are met:
- Attribution (BY) – Appropriate credit must be given to the original author(s), a link to the license must be provided, and any changes made to the work must be clearly indicated.
- ShareAlike (SA) – If the material is modified, adapted, or remixed, the resulting work must be distributed under the same CC BY-SA 4.0 license.
Licensing Policy
By submitting a manuscript to JURNAL SINTIKA, authors agree that, if accepted for publication, their article will be published under the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) License.
Authors retain the right to:
- Archive and distribute the published version of their article through institutional repositories, personal websites, academic social networks, or other non-commercial and commercial platforms, provided that the original publication in JURNAL SINTIKA is properly acknowledged.
- Reuse their work in future books, dissertations, conference proceedings, or other scholarly publications, with appropriate citation to the original publication.
JURNAL SINTIKA supports the principles of Open Access and encourages authors to deposit their manuscripts in institutional or subject repositories before submission (preprint), during the review process (where permitted), and after publication, in order to enhance the visibility, accessibility, dissemination, and academic impact of their research.
For complete license information, please visit the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) website:
https://creativecommons.org/licenses/by-sa/4.0/
