Nainggolan, Tia Yohana (2026) Rancang Bangun Sistem Deteksi Limpasan Spillway Di Main Intake Plta Renun. Project Report. [s.n.]. (Unpublished)
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Abstract
PLTA Renun merupakan pembangkit listrik tenaga air berkapasitas 2 × 41 MW yang berlokasi di Desa Silalahi II, Kabupaten Dairi, Sumatera Utara dan dikelola oleh PT PLN Nusantara Power melalui Unit Pembangkit Pandan. Sistem operasional PLTA Renun dilengkapi Check Dam pada Main Intake dengan Spillway sebagai pelimpah kelebihan air. Sistem eksisting untuk pemantauan elevasi air pada Check Dam menggunakan sensor analog 4 – 20 mA dengan rentang pengukuran elevasi 1374 – 1380 mdpl, sedangkan crest Spillway berada pada 1.380 mdpl. Kondisi tersebut menyebabkan sistem yang ada belum mampu mendeteksi secara langsung terjadinya limpasan air pada Spillway. Pada proyek ini dirancang dan dibangun sistem deteksi limpasan pada Spillway berbasis IoT menggunakan sensor ultrasonik A022YY4W RS485 yang diintegrasikan dengan ESP32 S3 IoT Logger. Sistem dilengkapi dashboard web yang dapat diakses secara publik melalui layanan hosting Netlify, server backend berbasis Node.js yang di-deploy di Hugging Face. Hasil validasi sensor menunjukkan akurasi sebesar 98,108% dengan koefisien determinasi R² = 0,99924. Pengujian delay transmisi menghasilkan rata-rata 127 ms untuk pembaruan dashboard dan 123 ms untuk penyimpanan database beserta pengiriman notifikasi Telegram. Pengujian integrasi di lapangan berhasil merespons perubahan status yang terdeteksi pada dashboard dan notifikasi Telegram secara otomatis.
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Renun Hydroelectric Power Plant (PLTA Renun) is a hydroelectric power plant with a generating capacity of 2 × 41 MW, located in Silalahi II Village, Dairi Regency, North Sumatra, and operated by PT PLN Nusantara Power through the Pandan Generation Unit. The plant's operational system includes a Check Dam at the Main Intake with a Spillway that functions as an overflow structure for excess water. The existing water level monitoring system at the Check Dam utilizes a 4–20 mA analog sensor with an elevation measurement range of 1374–1380 meters above mean sea level (masl), while the Spillway crest is located at an elevation of 1380 masl. Consequently, the existing system is unable to directly detect water overflow at the Spillway. This project presents the design and implementation of an Internet of Things (IoT)-based Spillway overflow detection system using the A022YY4W RS485 ultrasonic sensor integrated with the ESP32-S3 IoT Logger. The system is equipped with a web-based dashboard publicly accessible via Netlify hosting and a Node.js backend server deployed on Hugging Face. Sensor validation results demonstrated an accuracy of 98.108% with a coefficient of determination (R²) of 0.99924. Transmission delay testing yielded an average response time of 127 ms for dashboard updates and 123 ms for database storage and Telegram notification delivery. Field integration testing confirmed that the system successfully responded to changes in Spillway overflow status, which were automatically reflected on the dashboard and delivered through Telegram notifications.
| Item Type: | Monograph (Project Report) |
|---|---|
| Subjects: | T Technology > TC Hydraulic engineering. Ocean engineering > TC424 Water levels T Technology > TC Hydraulic engineering. Ocean engineering > TC555 Spillways. Energy dissipation. Hydraulic jump. T Technology > TD Environmental technology. Sanitary engineering > TD491 Spillways |
| Divisions: | Faculty of Vocational > Instrumentation Engineering |
| Depositing User: | Tia Yohana Nainggolan |
| Date Deposited: | 30 Jul 2026 04:17 |
| Last Modified: | 30 Jul 2026 04:17 |
| URI: | http://repository.its.ac.id/id/eprint/140712 |
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