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Sistem Pendeteksi Kebocoran Gas dan Kebakaran Menggunakan Node MCU ESP 8266 dengan Notifikasi Telegram Dwi Waluyo, Bakti; Aulia Rahman S, Muhammad; Haryanto Sinaga, Denny
JURNAL PENDIDIKAN VOKASIONAL TEKNIK ELEKTRONIKA (JVoTE) Vol. 7 No. 2 (2024): Vol 7 No 2 (2024): JURNAL PENDIDIKAN VOKASIONAL TEKNIK ELEKTRONIKA (JVoTE) Volu
Publisher : PENDIDIKAN VOKASIONAL TEKNIK ELEKTRONIKA FAKULTAS TEKNIK UNIVERSITAS NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jvote.v7i2.54686

Abstract

Gas leaks are one of the risks that occur due to improper installation of LPG cylinders. Therefore, a fast and reliable gas leak detection tool with an Internet of Things (IoT)-based approach is needed as an effective solution. This study designed a tool based on the Arduino Uno microcontroller and the Esp8266 module for remote gas leak monitoring. The gas sensor is used for real-time leak detection and sends warning notifications through the IoT network. The application of IoT technology in this system not only improves the safety of LPG use but also allows integration with modern technological developments. This tool is an innovative solution in creating a safer and more efficient environment in LPG cylinder installation.
Optimization model and development of power estimation in photovoltaics for self-load consumption Yosefa Hutajulu, Olnes; Dwi Waluyo, Bakti; Dodi Suryanto, Eka; Haryanto Sinaga, Denny; Suwarno, Suwarno; Indra Cahyadi, Catra; Junaidi, Agus
Bulletin of Electrical Engineering and Informatics Vol 14, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i2.8506

Abstract

The Indonesian government's initiative to meet a renewable electricity supply 2050 of around 100% and its ecological benefits, has an impact on the big challenge where the increasing number of photovoltaic (PV) systems due to high power input and risks to electricity network security conditioned sunny weather for a long time. This research aims to provide predictable power output for network operators, thereby enabling longer planning periods and increasing the protection of the national operational network. Independent consumption by household consumers will impact household energy behavior and affect the security of the electricity network. Consumption itself provides an incentive to increase the cost of energy use which will be much higher than the compensation received, so software is needed which can support PV system prediction patterns. This pattern will close the gap in software development in the process of implementing optimization and configuration based on PV estimates. The consumption planning optimization algorithm itself validates the predetermined scenario optimization process. This research contributes to the efficiency and stability of energy use in households.