Suntoro, Yoyok and , Ir. Pratomo Budi Santosa.M.T. (2026) Perancangan dan Implementasi Sistem Automatic Meter Reading Berbasis LoRa Untuk Monitoring Energi Listrik Jarak Jauh Berbasis ThingSpeak. Skripsi thesis, Universitas Muhammadiyah Surakarta.
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Abstract
In Indonesia, kWh meter reading for household customers is generally still done manually by field officers, making the process prone to recording errors, requiring substantial operational costs, and unable to provide real-time information on electricity usage. To address this issue, this study designed and built an Automatic Meter Reading (AMR) system utilizing a LoRa SX1278 module with ESP32 serving as the controller for both the sensor node and the gateway. Electrical parameters were measured using a PZEM-004T sensor, while the ThingSpeak platform functioned as an online, real-time data monitoring tool. A design and implementation research approach was applied in this study, starting from needs analysis, hardware and software design, prototype development, through to system testing and performance evaluation. Sensor accuracy testing was conducted by comparing PZEM-004T readings against a KMRY Watt Meter across five different household load types, while LoRa communication testing was carried out in a residential area obstructed by houses, trees, and walls, with distances varying from 100 to 800 meters. The tests yielded average measurement errors of 0.96% for voltage, 2.38% for current, 2.21% for active power, and 1.37% for power factor. In terms of communication, LoRa achieved a stable Packet Delivery Ratio (PDR) of 100% up to a distance of 600 meters, with Received Signal Strength Indicator (RSSI) values ranging from −102 to −107 dBm, but performance began to decline beyond 700 meters, reaching a lowest PDR of only 30% at 800 meters with an RSSI of −109 dBm. The developed system was also proven capable of displaying eight electrical parameters in real time through the ThingSpeak dashboard. Overall, these findings indicate that the developed LoRa-based AMR system has the potential to serve as a relatively affordable long-range electrical energy monitoring solution, with an effective range of up to 600 meters in obstructed residential environments
| Item Type: | Thesis (Skripsi) |
|---|---|
| Uncontrolled Keywords: | Automatic Meter Reading,ESP32,LoRa,PZEM-004T,ThingSpeak. |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK01 Weak flow |
| Divisions: | Fakultas Teknik > S1 Teknik Elektro |
| Depositing User: | YOYOK SUNTORO |
| Date Deposited: | 18 Aug 2026 06:34 |
| Last Modified: | 18 Aug 2026 06:34 |
| URI: | http://eprints.ums.ac.id/id/eprint/148205 |
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