PERDANA, ANDHIKA PUTRA (2026) SMART BATTERY SAFETY AND ANTI-THEFT MONITORING SYSTEM FOR ELECTRIC BICYCLES WITH AUTOMATIC CUT-OFF AND DUAL-CHANNEL NOTIFICATION. Diploma thesis, POLITEKNIK KESELAMATAN TRANSPORTASI JALAN.
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Abstract
The rapid growth of electric bicycle usage in Indonesia has been accompanied by rising safety incidents, particularly those related to battery thermal runaway and theft. This research presents the design and implementation of an integrated monitoring and security system for electric bicycles using the ESP32 microcontroller, PZEM-017, DS18B20, and Neo-6M GPS module, combined with a web-based dashboard and Telegram bot notification. The system was developed using the Research and Development (R&D) method with a four-parameter monitoring scheme covering voltage, current, temperature, and geospatial coordinates. Experimental results from twenty data points per sensor demonstrated excellent accuracy: DS18B20 achieved an average error of 1.133%, PZEM 017 achieved 1.224% for voltage and 1.787% for current, while the Neo-6M module achieved 0.000575% and 0.000042% for latitude and longitude respectively. The automatic cut-off mechanism successfully operated in all six tested scenarios, and the Telegram website integration delivered notifications with an average delay of two seconds. These findings confirm that the proposed system improves safety and security of electric bicycles through real-time multi-parameter monitoring and remote intervention capability. Unlike prior systems that address monitoring or security in isolation, this work is the first to unify real-time multi-parameter battery protection, automatic cut-off, geofencing, and dual-channel notification within a single low-cost ESP32-based platform tailored for urban electric bicycle users in Indonesia. The practical relevance of this integration is particularly significant given the accelerating adoption of electric bicycles as primary short-distance transportation in densely populated Indonesian cities, where charging-related fire incidents and theft cases have reached critical levels.
| Item Type: | Thesis (Diploma) |
|---|---|
| Uncontrolled Keywords: | Automatic Cut-off, Battery Monitoring, Electric Bicycle, ESP32, Internet of Things |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) T Technology > TJ Mechanical engineering and machinery T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Teknologi Rekayasa Otomotif > Teknologi Rekayasa Otomotif |
| Depositing User: | 22021033 22021033 |
| Date Deposited: | 18 May 2026 01:50 |
| Last Modified: | 18 May 2026 01:50 |
| URI: | http://eprints.pktj.ac.id/id/eprint/4398 |
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