Intelligent System for Internet of Things-Based Building Fire Safety with Naive Bayes Algorithm
DOI:
https://doi.org/10.30812/matrik.v23i1.3581Keywords:
Building fire safety, Intelligent system, Internet of things, Na¨ıve Bayes, TelegramAbstract
Population growth is increasing every year. Population growth causes an increase in population density in a country. The largest population density is in urban areas. Fires in a city with a high population density will potentially cause greater damage. Material and non-material losses due to fire can be caused by not functioning maximally early warning systems, especially fire detection. In addition, other factors, such as system errors in detecting fires, can potentially cause fires. This research aims to build an intelligent system that can minimize building fire detection errors to reduce user material losses. The intelligent system can classify fire potential into four classifications, namely â€very dangerous,†â€dangerous,†â€alert,†and â€safe.†The method used in this research is Research and Development (R&D) with artificial intelligence using the Na¨ıve Bayes method, which has been integrated with the Internet of Things (IoT). This research shows that the Na¨ıve Bayes algorithm can be used to classify fire potential, proven by the overall system testing accuracy of 93.33% with an error of 6.77%.
Downloads
Download data is not yet available.
References
[1] Datacommons.org, “Population in The World,†2020.
[2] N. Brushlinsky, M. Ahrens, S. Sokolov, and P. Wagner, “World Fire Statistics,†in International Association of Fire and Rescue
Service, 2020, pp. 1–67.
[3] BNPB, “Geo Portal data bencana di Indonesia.â€
[4] Y. C. Nam and Y. Nam, “A low-cost fire detection system using a thermal camera,†KSII Transactions on Internet and Information
Systems, vol. 12, no. 3, pp. 1301–1314, 2018.
[5] F. Saeed, A. Paul, A. Rehman, W. H. Hong, and H. Seo, “IoT-Based intelligent modeling of smart home environment for fire
prevention and safety,†Journal of Sensor and Actuator Networks, vol. 7, no. 1, pp. 1–16, 2018.
[6] D. H. Kang, M. S. Park, H. S. Kim, D. Y. Kim, S. H. Kim, H. J. Son, and S. G. Lee, “Room Temperature Control and
Fire Alarm/Suppression IoT Service Using MQTT on AWS,†International Conference on Platform Technology and Service,
PlatCon 2017 - Proceedings, 2017.
[7] R. A. Sowah, K. Apeadu, F. Gatsi, K. O. Ampadu, and B. S. Mensah, “Hardware Module Design and Software Implementation
of Multisensor Fire Detection and Notification System Using Fuzzy Logic and Convolutional Neural Networks (CNNs),â€
Journal of Engineering (United Kingdom), vol. 2020, 2020.
[8] A. Sol´orzano, J. Eichmann, L. Fern´andez, B. Ziems, J. M. Jim´enez-Soto, S. Marco, and J. Fonollosa, “Early fire detection based
on gas sensor arrays: Multivariate calibration and validation,†Sensors and Actuators B: Chemical, vol. 352, pp. 1–16, 2022.
[9] E. Lule, C. Mikeka, A. Ngenzi, and D. Mukanyiligira, “Design of an IoT-based fuzzy approximation prediction model for early
fire detection to aid public safety and control in the local urban markets,†Symmetry, vol. 12, no. 9, pp. 1–29, 2020.
[10] X. Shi and L. Songlin, “Design and Implementation of a Smart Wireless Fire-Fighting System Based on NB-IoT Technology,â€
in Journal of Physics: Conference Series, vol. 1606, no. 1, 2020.
[11] Y. Ma, X. Feng, J. Jiao, and Z. Peng, Smart Fire Alarm System with Person Detection and Thermal Camera. Springer
International Publishing, vol. 1.
[12] M. J. Sousa, A. Mountinho, and M. Almeida, “Thermal Infrared Sensing for Near Real-Time Data-Driven Fire Detection and
Monitoring Systems,†pp. 1–29, 2020.
[13] M. A. Hossain, H. S. Roy, M. F. K. Khondakar, M. H. Sarowar, and A. Hossainline, “Design and Implementation of an IoT Based
Firefighting and Affected Area Monitoring Robot,†in International Conference on Robotics, Electrical and Signal Processing
Techniques, no. January, 2021, pp. 552–556.
[14] M. Devi, S. Parthasarathy, B. Mahalakshmi, and E. Sathyamoorthy, “IoT Based Fire Fighting Robot,†vol. 07, no. 11, pp.
7722–7729, 2020.
[15] M. B. Vyshnavi, A. Satheesh, S. S. S, and L. C. Manikandan, “IoT Technology Based Fire-Fighter Robot,†vol. 6, no. 3, pp.
934–941, 2020.
[16] A. Anggrawan, S. Hadi, and C. Satria, “IoT-Based Garbage Container System Using NodeMCU ESP32 Microcontroller,â€
Journal of Advances in Information Technology, vol. 13, no. 6, pp. 569–577, 2022.
[2] N. Brushlinsky, M. Ahrens, S. Sokolov, and P. Wagner, “World Fire Statistics,†in International Association of Fire and Rescue
Service, 2020, pp. 1–67.
[3] BNPB, “Geo Portal data bencana di Indonesia.â€
[4] Y. C. Nam and Y. Nam, “A low-cost fire detection system using a thermal camera,†KSII Transactions on Internet and Information
Systems, vol. 12, no. 3, pp. 1301–1314, 2018.
[5] F. Saeed, A. Paul, A. Rehman, W. H. Hong, and H. Seo, “IoT-Based intelligent modeling of smart home environment for fire
prevention and safety,†Journal of Sensor and Actuator Networks, vol. 7, no. 1, pp. 1–16, 2018.
[6] D. H. Kang, M. S. Park, H. S. Kim, D. Y. Kim, S. H. Kim, H. J. Son, and S. G. Lee, “Room Temperature Control and
Fire Alarm/Suppression IoT Service Using MQTT on AWS,†International Conference on Platform Technology and Service,
PlatCon 2017 - Proceedings, 2017.
[7] R. A. Sowah, K. Apeadu, F. Gatsi, K. O. Ampadu, and B. S. Mensah, “Hardware Module Design and Software Implementation
of Multisensor Fire Detection and Notification System Using Fuzzy Logic and Convolutional Neural Networks (CNNs),â€
Journal of Engineering (United Kingdom), vol. 2020, 2020.
[8] A. Sol´orzano, J. Eichmann, L. Fern´andez, B. Ziems, J. M. Jim´enez-Soto, S. Marco, and J. Fonollosa, “Early fire detection based
on gas sensor arrays: Multivariate calibration and validation,†Sensors and Actuators B: Chemical, vol. 352, pp. 1–16, 2022.
[9] E. Lule, C. Mikeka, A. Ngenzi, and D. Mukanyiligira, “Design of an IoT-based fuzzy approximation prediction model for early
fire detection to aid public safety and control in the local urban markets,†Symmetry, vol. 12, no. 9, pp. 1–29, 2020.
[10] X. Shi and L. Songlin, “Design and Implementation of a Smart Wireless Fire-Fighting System Based on NB-IoT Technology,â€
in Journal of Physics: Conference Series, vol. 1606, no. 1, 2020.
[11] Y. Ma, X. Feng, J. Jiao, and Z. Peng, Smart Fire Alarm System with Person Detection and Thermal Camera. Springer
International Publishing, vol. 1.
[12] M. J. Sousa, A. Mountinho, and M. Almeida, “Thermal Infrared Sensing for Near Real-Time Data-Driven Fire Detection and
Monitoring Systems,†pp. 1–29, 2020.
[13] M. A. Hossain, H. S. Roy, M. F. K. Khondakar, M. H. Sarowar, and A. Hossainline, “Design and Implementation of an IoT Based
Firefighting and Affected Area Monitoring Robot,†in International Conference on Robotics, Electrical and Signal Processing
Techniques, no. January, 2021, pp. 552–556.
[14] M. Devi, S. Parthasarathy, B. Mahalakshmi, and E. Sathyamoorthy, “IoT Based Fire Fighting Robot,†vol. 07, no. 11, pp.
7722–7729, 2020.
[15] M. B. Vyshnavi, A. Satheesh, S. S. S, and L. C. Manikandan, “IoT Technology Based Fire-Fighter Robot,†vol. 6, no. 3, pp.
934–941, 2020.
[16] A. Anggrawan, S. Hadi, and C. Satria, “IoT-Based Garbage Container System Using NodeMCU ESP32 Microcontroller,â€
Journal of Advances in Information Technology, vol. 13, no. 6, pp. 569–577, 2022.
Downloads
Published
2023-11-30
Issue
Section
Articles
How to Cite
[1]
N. G. A. Dasriani, S. Hadi, and M. Syahrir, “Intelligent System for Internet of Things-Based Building Fire Safety with Naive Bayes Algorithm”, MATRIK, vol. 23, no. 1, pp. 229–242, Nov. 2023, doi: 10.30812/matrik.v23i1.3581.
Similar Articles
- Achmad Lukman, Wahju Tjahjo Saputro, Erni Seniwati, Improving Performance Convolutional Neural Networks Using Modified Pooling Function , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 23 No. 2 (2024)
- Nenny Anggraini, Zulkifli Zulkifli, Nashrul Hakiem, Development of Smart Charity Box Monitoring Robot in Mosque with Internet of Things and Firebase using Raspberry Pi , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 24 No. 1 (2024)
- Muhammad Tajuddin, Abdul Manan, MODEL PEMASARAN USAHA MIKRO KECIL DAN MENENGAH (UMKM) BERBASIS ONLINE DALAM MENDUKUNG PARIWISATA , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 17 No. 1 (2017)
- Fery Antony, Rendra Gustriansyah, Deteksi Serangan Denial of Service pada Internet of Things Menggunakan Finite-State Automata , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 21 No. 1 (2021)
- Eko Prasetyo, Muhammad Faris Al-Adni, Rahmawati Febrifyaning Tias, Classification of Cash Direct Recipients Using the Naive Bayes with Smoothing , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 23 No. 3 (2024)
- Nurdin Nurdin, Erni Susanti, Hafizh Al-Kautsar Aidilof, Dadang Priyanto, Comparison of Naive Bayes and Dempster Shafer Methods in Expert System for Early Diagnosis of COVID-19 , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 22 No. 1 (2022)
- Jusmita Weriza, Ismail Husein, Noranizamardia Noranizamardia, M Fakhariza, Khairan Marzuki, Development of OnlineWeb-Based New Student Graduation Application in Junior High School , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 21 No. 3 (2022)
- Anastasia Mude, Leonardus Benediktus Finansius Mando, Implementasi Keamanan Rumah Cerdas Menggunakan Internet of Things dan Biometric Sistem , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 21 No. 1 (2021)
- Purnawarman Musa, Eri Prasetyo Wibowo, Saiful Bahri Musa, Iqbal Baihaqi, Pelican Crossing System for Control a Green Man Light with Predicted Age , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 21 No. 2 (2022)
- Muhammad Tajuddin, Abdul Manan, RANCANG BANGUN SISTEM INFORMASI MONITORING SATUAN KERJA DALAM RANGKA GOOD GOVERNANCE , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 15 No. 1 (2015)
1-10 of 400
Next
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Sirojul Hadi, Puspita Dewi, Radimas Putra Muhammad Davi Labib, Parama Diptya Widayaka, Sistem Rumah Pintar Menggunakan Google Assistant dan Blynk Berbasis Internet of Things , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 21 No. 3 (2022)
- Ni Gusti Ayu Dasriani, Mayadi Mayadi, Anthony Anggrawan, Klasterisasi Lokasi Promosi PMB Dengan Fuzzy C-means Masa Pandemi Covid 19 , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 21 No. 2 (2022)
- Dadang Priyanto, Bambang Krismono Triwijoyo, Deny Jollyta, Hairani Hairani, Ni Gusti Ayu Dasriani, Data Mining Earthquake Prediction with Multivariate Adaptive Regression Splines and Peak Ground Acceleration , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 22 No. 3 (2023)
- Ni Gusti Ayu Dasriani, Anthony Anggrawan, Pengembangan Sistem Aplikasi Cerdas Memprediksi Penjualan Mebel Berbasis website , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 21 No. 1 (2021)
- Apriani Apriani, Sandi Justitia Putra, Ismarmiaty Ismarmiaty, Ni Gusti Ayu Dasriani, E-Alert Application in Facing Earthquake Disaster , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 19 No. 2 (2020)
- Radimas Putra Muhammad Davi Labib, Sirojul Hadi, Parama Diptya Widayaka, Low Cost System for Face Mask Detection Based Haar Cascade Classifier Method , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 21 No. 1 (2021)
.png)
