Rancang Bangun Modul IoT Untuk Aplikasi Advance Metering Infrastructure (AMI) Berbasis Lorawan

Hikam, Ahmad Ahlul (2025) Rancang Bangun Modul IoT Untuk Aplikasi Advance Metering Infrastructure (AMI) Berbasis Lorawan. Other thesis, Institut Teknologi Sepuluh Nopember.

Text 5022211104_Undergraduate_Thesis.pdf - Accepted Version Restricted to Repository staff only Download (8MB) | Request a copy

Abstract

Advanced Metering Infrastructure (AMI) merupakan salah satu penerapan teknologi Internet of Things (IoT) dalam sistem kelistrikan modern, yang memungkinkan pencatatan dan pemantauan konsumsi energi secara otomatis dan real-time. Dalam tugas akhir ini, dirancang dan diimplementasikan sistem AMI berbasis ESP32 dan modul LoRa untuk membangun komunikasi jarak jauh dalam mendukung implementasi AMI pada pengukuran konsumsi energi pelanggan PT PLN. Permasalahan utama yang dikaji adalah bagaimana membangun sistem pengukuran energi yang efisien dan stabil, serta bagaimana mengevaluasi performa pengiriman datanya. Prototipe yang dikembangkan terdiri dari dua modul utama, yaitu Modul AMI sebagai pengukur energi dan LoRa Gateway sebagai penerima dan penerus data ke platform IoT menggunakan protokol HTTP dan MQTT. Proses pengembangan melibatkan pembuatan perangkat keras, firmware, serta dashboard berbasis web untuk visualisasi data pengguna. Pengujian dilakukan terhadap aspek delay, jitter, throughput, jangkauan transmisi, dan stabilitas sistem. Hasil menunjukkan bahwa sistem mampu beroperasi pada jarak hingga 500 meter dalam kondisi Line of Sight, dengan performa komunikasi yang lebih baik pada protokol MQTT dibandingkan HTTP. Evaluasi kualitas layanan juga menunjukkan kestabilan operasional perangkat dan efisiensi transmisi data. Penelitian ini menunjukkan bahwa implementasi AMI berbasis LoRa dan ESP32 dapat menjadi solusi potensial dalam digitalisasi infrastruktur energi di Indonesia, khususnya untuk wilayah dengan keterbatasan akses jaringan komunikasi konvensional.
==================================================================================================================================
Advanced Metering Infrastructure (AMI) is one of the applications of Internet of Things (IoT) technology in modern power systems, enabling automated and real-time recording and monitoring of energy consumption. In this final project, an AMI system based on ESP32 and LoRa modules was designed and implemented to establish long-range communication in support of energy consumption measurement for PT PLN customers. The main problems addressed are how to build an efficient and stable energy metering system, and how to evaluate its data transmission performance. The developed prototype consists of two main modules: the AMI Module as the energy meter, and the LoRa Gateway as the data receiver and forwarder to the IoT platform using HTTP and MQTT protocols. The development process includes hardware construction, firmware programming, and a web-based dashboard for user data visualization. The system was tested on several aspects including delay, jitter, throughput, transmission range, and operational stability. The results show that the system is capable of operating at a distance of up to 500 meters under Line of Sight conditions, with better communication performance using the MQTT protocol compared to HTTP. Quality of service evaluation also demonstrates reliable device operation and efficient data transmission. This study indicates that an AMI implementation based on LoRa and ESP32 can serve as a potential solution for the digitalization of energy infrastructure in Indonesia, particularly in areas with limited access to conventional communication networks.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Advanced Metering Infrastructure (AMI), ESP32, Internet of Things, LoRa, Quality of Service (QOS).
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5105.888 Web sites--Design. Web site development. T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK6564 Radio transmitter-receivers T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunication
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User:	Ahmad Ahlul Hikam
Date Deposited:	24 Jul 2025 09:48
Last Modified:	24 Jul 2025 09:48
URI:	http://repository.its.ac.id/id/eprint/121370

Actions (login required)

View Item