ANANDA SANTRI, RAYHAN (2026) RANCANG BANGUN SISTEM PENGONTROLAN DAN MONITORING KONSUMSI ENERGI SECARA REALTIME BERBASIS IOT UNTUK OPTIMASI EFESIENSI LISTRIK. Diploma thesis, Institut Teknologi PLN.
COVER SKRIPSI 202211030 RAYHAN ANANDA SANTRI-1-2.pdf
Download (135kB)
LEMBAR PENGESAHAN SKRIPSI 202211030 RAYHAN ANANDA SANTRI-4-5.pdf
Download (182kB)
ABSTRAK SKRIPSI 202211030 RAYHAN ANANDA SANTRI-10-11.pdf
Download (220kB)
BAB 1 SKRIPSI 202211030 RAYHAN ANANDA SANTRI-17-21.pdf
Download (236kB)
BAB 2 SKRIPSI 202211030 RAYHAN ANANDA SANTRI-22-38.pdf
Download (349kB)
BAB 3 SKRIPSI 202211030 RAYHAN ANANDA SANTRI-39-48.pdf
Restricted to Registered users only
Download (751kB)
BAB 4 SKRIPSI 202211030 RAYHAN ANANDA SANTRI-49-76.pdf
Restricted to Registered users only
Download (862kB)
BAB 5 SKRIPSI 202211030 RAYHAN ANANDA SANTRI-77-78.pdf
Restricted to Registered users only
Download (237kB)
DAFTAR PUSTAKA SKRIPSI 202211030 RAYHAN ANANDA SANTRI-79-82.pdf
Download (220kB)
SKRIPSI 202211030 RAYHAN ANANDA SANTRI.pdf
Restricted to Registered users only
Download (2MB)
Abstract
Peningkatan konsumsi energi listrik yang terus terjadi menuntut adanya sistem pemantauan yang lebih efektif untuk mengurangi pemborosan energi. Namun, sistem pengukuran listrik yang masih konvensional belum mampu memberikan informasi penggunaan energi secara detail dan real-time, sehingga pengguna kesulitan dalam memahami pola konsumsi listrik. Oleh karena itu, penelitian ini bertujuan merancang serta membangun sistem pemantauan konsumsi energi listrik secara real-timeberbasis Internet of Things (IoT) untuk meningkatkan efisiensi pemakaian energi listrik. Metode yang digunakan adalah perancangan sistem dengan pendekatan kuantitatif melalui tahap perancangan, implementasi, dan pengujian menggunakan sensor PZEM-004T dan mikrokontroler ESP32. Data yang diperoleh berupa tegangan, arus, daya, dan energi listrik dianalisis untuk mengevaluasi kinerja sistem. Hasil penelitian menunjukkan bahwa sistem mampu memantau konsumsi energi listrik secara real-timedengan tingkat akurasi yang baik, yaitu rata-rata persentase error pengukuran tegangan sebesar 0,61%-0,68%, arus 2,61%-4,45%, daya 1,08%-2,68%, dan frekuensi 0,00% baik pada tampilan LCD maupun aplikasi/web. Pengujian kendali beban jarak jauh menunjukkan tingkat keberhasilan (reliability rate) sebesar 100% dengan waktu respons (response time) rata-rata 0,43-0,97 detik untuk jarak hingga 1.227 km. Sistem juga terbukti mampu mencegah potensi pemborosan energi sebesar 0,4135 kWh untuk setiap 5 jam beban yang lupa dimatikan (setara 82,70 W selama 5 jam). Dengan demikian, sistem yang dibangun mampu meningkatkan efisiensi pemakaian energi listrik serta meminimalkan risiko pemborosan energi.
The continuous increase in electrical energy consumption demands a more effective monitoring system to reduce energy waste. However, conventional electrical measurement systems are unable to provide detailed and real-timeenergy usage information, making it difficult for users to understand their consumption patterns. Therefore, this study aims to design and build an Internet of Things (IoT)-based real-timeelectrical energy consumption monitoring system to enhance energy efficiency. The method used is system design with a quantitative approach through stages of design, implementation, and testing using the PZEM-004T sensor and ESP32 microcontroller. The data obtained, comprising voltage, current, power, and electrical energy, were analyzed to evaluate the system's performance. The results indicate that the system is capable of monitoring electrical energy consumption in real time with good accuracy, achieving average measurement percentage error rates of 0.61%–0.68% for voltage, 2.61%–4.45% for current, 1.08%–2.68% for power, and 0.00% for frequency, on both the LCD display and the web/application interface. Remote load control testing demonstrated a 100% reliability rate with an average response time of 0.43–0.97 seconds across distances up to 1,227 km. Furthermore, the system was proven capable of preventing potential energy waste of 0.4135 kWh for every 5 hours a load is left running unintentionally (equivalent to 82.70 W over 5 hours). Consequently, the developed system effectively improves energy efficiency and minimizes the risk of energy waste.
| Item Type: | Thesis (Diploma) |
|---|---|
| Uncontrolled Keywords: | Kata Kunci : Konsumsi Energi, Real-time, IoT, Efisiensi Listrik, Smart Energi Keywords: Energy Consumption, Real-time, IoT, Electrical Efficiency, Smart Energy |
| Subjects: | Skripsi Bidang Keilmuan > Smart System Bidang Keilmuan > Teknik Elektro |
| Divisions: | Fakultas Ketenagalistrikan dan Energi Terbarukan > S1 Teknik Elektro |
| Depositing User: | Bernard Candra Pangka Bu'ulolo |
| Date Deposited: | 24 Aug 2026 02:21 |
| Last Modified: | 24 Aug 2026 02:21 |
| URI: | https://repository.itpln.ac.id/id/eprint/7119 |
