Rancang Bangun Sistem Monitoring Plts Dan Kontrol Penyiraman Otomatis Berbasis Iot Menggunakan Esp32 Dan Blynk

Muhaimin, Malik Mulki and , Dr. Agus Ulinuha, S.T., M.T (2026) Rancang Bangun Sistem Monitoring Plts Dan Kontrol Penyiraman Otomatis Berbasis Iot Menggunakan Esp32 Dan Blynk. Skripsi thesis, Universitas Muhammadiyah Surakarta.

	PDF (Naskah Publikasi) Naskah_Publikasi_Malik_Perpustakaan.pdf Download (1MB)
	PDF (Surat Pernyataan Publikasi) Scan Surat Pernyataan Publikasi.pdf Restricted to Repository staff only Download (598kB)

Abstract

This study aims to design and develop an Internet of Things (IoT)-based monitoring and control system to optimize the performance of a Solar Power Plant (PV system) as the energy source for an automatic plant irrigation system. The system employs an ESP32 as the main controller, a PZEM-017 sensor to measure electrical parameters including voltage, current, power, energy, and battery condition, and a soil moisture sensor to automatically control the water pump. Measurement data are transmitted in real time to the Blynk platform, enabling monitoring through smartphones or computers as well as remote control of the DC water pump. The test results show that in the first test the solar panel produced average values of 13.92 V, 1.74 A, and 24.55 W, while the battery produced 13.64 V, 1.64 A, and 22.55 W, with a maximum panel power of 38.42 W. In the second test, the panel achieved average values of 16.04 V, 1.42 A, and 23.03 W, while the battery reached 15.96 V, 1.46 A, and 23.29 W, with a maximum panel power of 31.62 W. In the third test, the panel output decreased to 14.82 V, 0.98 A, and 14.69 W, while the battery produced 15.07 V, 1.12 A, and 16.86 W. Despite fluctuations in solar irradiance, the battery voltage remained relatively within the range of 12,58–16,74 V, indicating that the PV system was able to supply energy reliably. The automatic irrigation test showed that the pump was activated when soil moisture ranged from 34% to 39% and turned off when the moisture reached 44% to 86%, resulting in an operating threshold of approximately 40% for irrigation control. Test results indicate that the system can perform electrical parameter monitoring and automatic watering control functions as designed. The system utilizes an ESP32, PZEM-017, soil moisture sensor, and Blynk to support the monitoring process and pump control.

Item Type:	Thesis (Skripsi)
Uncontrolled Keywords:	Internet of Things (IoT), solar power plant, ESP32, PZEM-017, soil moisture sensor, automatic irrigation
Subjects:	T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Fakultas Teknik > S1 Teknik Elektro
Depositing User:	MALIK MULKI MUHAIMIN
Date Deposited:	18 Aug 2026 03:08
Last Modified:	18 Aug 2026 03:08
URI:	http://eprints.ums.ac.id/id/eprint/147982

Actions (login required)

View Item