SUCI WAHYU WANDANI, NPM 2208100092 (2026) SISTEM SMART TRASH PEMILAH SAMPAH ORGANIK DAN ANORGANIK BERBASIS INTERNET OF THINGS MENGGUNAKAN ESP32. Skripsi thesis, Universitas Labuhanbatu.
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Abstract
Penelitian ini bertujuan merancang dan mengimplementasikan sistem Smart Trash berbasis Internet of Things (IoT) menggunakan mikrokontroler ESP32 untuk memilah sampah organik dan anorganik secara otomatis. Permasalahan utama yang diangkat adalah masih rendahnya efisiensi pemilahan sampah secara manual serta minimnya kesadaran masyarakat dalam memilah sampah sejak sumbernya. Sistem ini memanfaatkan sensor proximity logam untuk mendeteksi material logam, sensor warna RGB untuk mengidentifikasi jenis sampah non-logam, serta sensor ultrasonik untuk memantau kapasitas tempat sampah. Data yang diperoleh diproses oleh ESP32 dan dikirimkan ke platform Blynk untuk monitoring dan notifikasi secara real-time. Metode penelitian yang digunakan adalah Research and Development (R&D) dengan model ADDIE yang meliputi tahap analisis, perancangan, pengembangan, implementasi, dan evaluasi. Hasil penelitian menunjukkan bahwa sistem mampu melakukan pemilahan sampah secara otomatis dengan tingkat akurasi yang baik serta mampu memberikan notifikasi ketika kapasitas tempat sampah penuh. Dengan demikian, sistem ini diharapkan dapat meningkatkan efisiensi pengelolaan sampah, mendukung program lingkungan berkelanjutan, serta menjadi solusi inovatif dalam penerapan teknologi IoT di bidang smart waste management. Kata kunci : Smart Trash, Internet of Things (IoT), ESP32, Pemilah Sampah, Sensor ================================================================================================ This study aims to design and implement a Smart Trash system based on the Internet of Things (IoT) using the ESP32 microcontroller to automatically classify organic and inorganic waste. The main issue addressed is the inefficiency of manual waste sorting and the low public awareness of waste separation at the source. The system utilizes a metal proximity sensor to detect metallic materials, an RGB color sensor to identify non-metal waste types, and an ultrasonic sensor to monitor the bin capacity. The collected data is processed by the ESP32 and transmitted to the Blynk platform for real-time monitoring and notifications. The research method employed is Research and Development (R&D) using the ADDIE model, which includes analysis, design, development, implementation, and evaluation stages. The results indicate that the system is capable of automatically sorting waste with good accuracy and providing notifications when the bin is full. Therefore, this system is expected to improve waste management efficiency, support sustainable environmental programs, and serve as an innovative solution for implementing IoT technology in smart waste management. Keywords : Smart Trash, Internet of Things (IoT), ESP32, Waste Sorting, Sensors
| Item Type: | Thesis (Skripsi) |
|---|---|
| Uncontrolled Keywords: | Smart Trash, Internet of Things (IoT), ESP32, Pemilah Sampah, Sensor =============================== Smart Trash, Internet of Things (IoT), ESP32, Waste Sorting, Sensors |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) |
| Divisions: | Fakultas Sains Dan Teknologi > Teknologi Informasi |
| Depositing User: | Unnamed user with email repository@ulb.ac.id |
| Date Deposited: | 20 May 2026 08:38 |
| Last Modified: | 20 May 2026 08:38 |
| URI: | http://repository.ulb.ac.id/id/eprint/2365 |
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