Erry Moersito, . (2024) RANCANG BANGUN SISTEM MONITORING DAN MEMBERSHIP KARTU RFID BERBASIS PYTHON DAN MYSQL UNTUK SISTEM CHARGING STATION PHOTOVOLTAIC OFF-GRID. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
The sun is an abundant renewable energy source and has great potential to meet human electricity needs. Currently, most of the world's electricity production is still supported by non-renewable energy such as fossil fuels and coal. The use of electric vehicles as an effort to reduce greenhouse gas warming is not completely effective, this is because electric vehicles still leave a carbon footprint originating from power plants. One effort to get electricity that is free from carbon emissions is to use sunlight as a source of electrical energy. By utilizing electricity from the sun to charge electric vehicle batteries, electric vehicles can become more environmentally friendly. In this research, the design of an off-grid hotovoltaic station charging system as well as a monitoring and membership system was carried out. This research aims to design an off-grid photovoltaic station charging system along with a monitoring and membership system as well as carry out analysis and precision of the monitoring system and validity of the membership system. This research succeeded in creating a Python and MySQL-based RFID Card Monitoring and Membership System Design for Off-Grid Photovoltaic Charging Station Systems. After analyzing the monitoring system, the solar panel voltage variable obtained an accuracy of 98.8% and a precision of 71%. Meanwhile, for the solar panel current variable, an accuracy of 97.1% and a precision of 88% were obtained. Meanwhile, for the battery voltage variable, an accuracy of 97.2% and a precision of 86% were obtained. Meanwhile, for the battery current variable, an accuracy of 98.4% and a precision of 48% were obtained. Apart from that, an analysis was also carried out on the membership system where the Tap-In variable obtained an accuracy of 92%, then the Tap-Out variable obtained an accuracy of 97%. For the variables adding new members, deleting members, adding member balances, and displaying registered members, 100% accuracy was obtained.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 2010314037] [Pembimbing: Achmad Zuchriadi P] [Penguji 1: Luh Krisnawati] [Penguji 2: Ferdyanto] |
| Uncontrolled Keywords: | Accuracy, Charging Station, RFID, Membership, Monitoring |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Fakultas Teknik > Program Studi Teknik Elektro (S1) |
| Depositing User: | ERRY MOERSITO |
| Date Deposited: | 02 Sep 2024 03:27 |
| Last Modified: | 02 Sep 2024 03:27 |
| URI: | http://repository.upnvj.ac.id/id/eprint/31588 |
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