Rancang bangun sistem monitoring arus dan tegangan skala rumahan berbasis Internet of Things

Saharo, Sulhan (2022) Rancang bangun sistem monitoring arus dan tegangan skala rumahan berbasis Internet of Things. Sarjana thesis, UIN Sunan Gunung Djati Bandung.

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Abstract

Sistem monitoring arus dan tegangan skala rumahan dirancang dan dibangun untuk memonitor daya listrik pada skala rumah tangga. Penelitian ini dilakukan untuk mempermudah akses dalam memantau daya rumahan melalui sistem monitoring arus dan tegangan berbasis Internet of Things dengan menggunakan platform Thinger.IO dan Telegram Messenger memanfaatkan fitur Bot. Sistem monitoring arus dan tegangan ini dirancang untuk memantau dan mencatat arus dan tegangan dalam satuan daya dengan mengggunakan sensor ACS712 sebagai pembaca arus dan sensor ZMPT101B sebagai pembaca tegangan, menggunakan mikrokontroler ESP32 yang telah memiliki modul wifi yang dapat terhubung secara online. Hasil dari penelitian memiliki keakuratan pada sensor tegangan ZMPT101B yang sangat baik dengan nilai akurasi sebesar 99.845%, dan sensor arus ACS712 memiliki nilai selisih tertinggi dengan referensi sebesar 0.32 A dan 0.04 A untuk nilai selisih terendahnya. Sistem data logger pada Thinger.IO berfungsi secara baik dalam melakukan pencatatan data. Fitur Bot pada aplikasi Telegram dapat bekerja dengan baik meskipun memiliki delay rata-rata hingga 4.2 detik, bergantung pada kecepatan jaringan internet. A home-scale current and voltage monitoring system is designed and built to monitor electrical power at a household scale. This research was conducted to facilitate access in monitoring home power through a current and voltage monitoring system based on the Internet of Things using the Thinger.IO platform and Telegram Messenger utilizing the Bot feature. This current and voltage monitoring system is designed to monitor and record current and voltage in power units by using the ACS712 sensor as a current reader and the ZMPT101B sensor as a voltage reader, using an ESP32 microcontroller that already has a wifi module that can be connected online. The results of this study are that the accuracy of the ZMPT101B voltage sensor is very good with an accuracy value of 99.845%, and the ACS712 current sensor has the highest difference value with a reference of 0.32 A and 0.04 A for the lowest difference value. The data logger system on Thinger.IO functions well in recording data. The Bot feature in the Telegram application can work well even though it has an average delay of up to 4.2 seconds, depending on the speed of the internet network.

Item Type: Thesis (Sarjana)
Uncontrolled Keywords: Internet of Things; Sensor Arus; Sensor Tegangan; Monitoring; Thinger.IO; Telegram
Subjects: Data Processing, Computer Science > Internet (World Wide Web)
Applied Physics > Electrical Engineering
Applied Physics > Control Divices
Divisions: Fakultas Sains dan Teknologi > Program Studi Teknik Elektro
Depositing User: Sulhan Saharo
Date Deposited: 08 Sep 2022 01:04
Last Modified: 08 Sep 2022 01:04
URI: https://digilib.uinsgd.ac.id/id/eprint/56081

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