Fire Detection System At Labuhanbatu University Based On Internet Of Things (IoT)
Dublin Core
Title
Fire Detection System At Labuhanbatu University Based On Internet Of Things (IoT)
Subject
arduino; internet of things; microcontrollers; android; fires; ADDIE
Description
Fire accidents are disasters that often occur compared to other fire disasters such as floods, landslides, earthquakes or tsunamis.
Fires can occur at any time and no one knows for sure when a fire accident will occur. The impact of a fire disaster is not only
material that can disappear human lives. The causative factors of fire disasters often occur due to human negligence and fires often
occur in houses where the occupants have left them. Labuhanbatu University at night will be left by the owner and all lecturers and
educational staff, only guarded by 2 security people with this condition it is very dangerous when a fire occurs in one of the buildings.
The purpose of this research is to focus on making a fire detection system at Labuhanbatu University based on the internet of things
to provide early warning on safety. The system uses three sensors namely temperature sensor, gas sensor, and fire sensor. This
research is an R&D research using the ADDIE model with the following stages Analysis, Design, Development, Implementation,
Evaluation. The results of the fire sensor test were 90% successful, the results of the sensor test as soon as possible were 90%
successful and the temperature sensor test results were 90% successful. This fire detection system can minimize or minimize the
occurrence of fire accidents and losses because it is based on the internet of things providing early information when a fire occurs
to education staff and lecturers at Labuhanabtu University. Overall this fire warning system can function properly
Fires can occur at any time and no one knows for sure when a fire accident will occur. The impact of a fire disaster is not only
material that can disappear human lives. The causative factors of fire disasters often occur due to human negligence and fires often
occur in houses where the occupants have left them. Labuhanbatu University at night will be left by the owner and all lecturers and
educational staff, only guarded by 2 security people with this condition it is very dangerous when a fire occurs in one of the buildings.
The purpose of this research is to focus on making a fire detection system at Labuhanbatu University based on the internet of things
to provide early warning on safety. The system uses three sensors namely temperature sensor, gas sensor, and fire sensor. This
research is an R&D research using the ADDIE model with the following stages Analysis, Design, Development, Implementation,
Evaluation. The results of the fire sensor test were 90% successful, the results of the sensor test as soon as possible were 90%
successful and the temperature sensor test results were 90% successful. This fire detection system can minimize or minimize the
occurrence of fire accidents and losses because it is based on the internet of things providing early information when a fire occurs
to education staff and lecturers at Labuhanabtu University. Overall this fire warning system can function properly
Creator
Iwan Purnama, Ibnu Rasyid Munthe, Khairul, Ronal Watrianthos, Zulkifli
Source
http://jurnal.iaii.or.id
Publisher
Professional Organization Ikatan Ahli Informatika Indonesia (IAII)/Indonesian Informatics Experts Association
Date
August 2023
Contributor
Sri Wahyuni
Rights
ISSN Media Electronic: 2580-0760
Format
PDF
Language
English
Type
Text
Files
Collection
Citation
Iwan Purnama, Ibnu Rasyid Munthe, Khairul, Ronal Watrianthos, Zulkifli, “Fire Detection System At Labuhanbatu University Based On Internet Of Things (IoT),” Repository Horizon University Indonesia, accessed January 11, 2026, https://repository.horizon.ac.id/items/show/10029.