OTOMASI TRACKING PANEL SURYA TERHADAP POSISI MATAHARI MENGGUNAKAN AI

Hayata, Alastu Bara and Pratama, Dafa Cahya Adi and Fitriani, Firdatul and Fadillah, Muhammad Reyhan (2024) OTOMASI TRACKING PANEL SURYA TERHADAP POSISI MATAHARI MENGGUNAKAN AI. Undergraduate thesis, Universitas Muhammadiyah Malang.

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Abstract

The primary need that increases the demand for renewable energy,
particularly solar energy, is its status as a more sustainable and environmentally
friendly alternative compared to conventional energy sources. However, solar
panels can actually move automatically to collect energy efficiently, which requires
data tracking of the sun's movement.

In a global environment with an increasing need for solar energy, this demand is
becoming more urgent. Considering that solar energy has become one of the
alternatives to reducing the negative impacts of climate change, there is a challenge
in optimizing the use of solar panels to generate energy consistently throughout the
day. This is why we feel it is necessary to integrate AI technology to facilitate the
automation of solar panel tracking with the sun's movement. Therefore, the main
objective of this research is to develop an automation system that can accurately
track and adjust solar panels to the sun's movement, enhancing the panels'
efficiency in capturing solar energy. The results of this research are expected to
produce a product in the form of an automatic driving system based on the sun's
movement data. Additionally, the AI technology developed has the potential to
contribute to the advancement of the renewable energy industry as a whole.

Item Type: Thesis (Undergraduate)
Student ID: 202010130311117
Keywords: Mikroprosessor, MPU6050 sensor, Otomasi, Implementasi
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering > Department of Electrical Engineering (20201)
Depositing User: 202010130311117 dafacahya
Date Deposited: 17 Jul 2024 08:08
Last Modified: 17 Jul 2024 08:08
URI: https://eprints.umm.ac.id/id/eprint/8220

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