PERANCANGAN SISTEM MONITORING PANEL SURYA DENGAN BERBASIS IOT MENGGUNAKAN BLYNK

Authors

  • Dian Faisal Akbar Universitas PGRI Madiun
  • Irna Tri Yuniahastuti Universitas PGRI Madiun
  • Churnia Sari Universitas PGRI Madiun

Keywords:

Blynk, NodeMCU ESP8266, Panel Surya, SensorINA219

Abstract

Salah satu teknologi yang sangat potensial untuk menghasilkan energi matahari adalah teknologi panel surya, terutama di negara-negara tropis seperti Indonesia. Saat ini, teknologi pemanen energi berbasis panel surya/photovoltaic (PV) sangat maju dan banyak digunakan untuk berbagai kebutuhan. Tujuan Dari penelitian ini untuk mengetahui luaran dari panel surya. Pengujian ini di lakukan selama 7 hari dengan 7 kali pengukuran yaitu pada jam 09.00 hingga jam 15.00. Alat pengujian menggunakan sensorINA219 dan watt meter. Hasil pengujian mendapatkan hasil rata rata daya harian yaitu 11,14 watt pada pengukuran menggunakan Watt meter. Sedangkan hasil rata rata daya yang di peroleh sensor INA219 adalah 7,77 watt. Untuk melakukan pengujian arus dan tegangan pada panel surya, penelitian ini menggunakan panel surya 50 wp jenis pollikristalin, mikrokontroler NodeMCU ESP8266 dan sensor INA219. Data kemudian dikirim ke aplikasi Blynk melalui internet.

One technology that has great potential for producing solar energy is solar panel technology, especially in tropical countries like Indonesia. Currently, energy harvesting technology based on solar panels/photovoltaic (PV) is very advanced and widely used for various needs. The aim of this research is to determine the output of solar panels. This test was carried out for 7 days with 7 measurements, namely from 09.00 to 15.00. The testing tool uses an INA219 sensor and a watt meter. The test results showed that the average daily power was 11.14 watts when measured using a Watt meter. Meanwhile, the average power results obtained by the INA219 sensor were 7.77 watts. To test the current and voltage on solar panels, this research uses a 50 wp polycrystalline solar panel, a NodeMCU ESP8266 microcontroller and an INA219 sensor. The data is then sent to the Blynk application via the internet.

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Author Biographies

Dian Faisal Akbar, Universitas PGRI Madiun

Program Studi Teknik Elektro Universitas PGRI Madiun

Irna Tri Yuniahastuti, Universitas PGRI Madiun

Program Studi Teknik Elektro Universitas PGRI Madiun

Churnia Sari, Universitas PGRI Madiun

Program Studi Teknik Elektro Universitas PGRI Madiun

References

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Published

2025-03-28

Issue

Vol. 5 No. 2 (2024)

Section

Research Articles

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