Realtime Monitoring and Analysis Based on Cloud Computing Internet of Things (CC-IoT) Technology in Detecting Forest and Land Fires in Riau Province


Yuda Irawan(1*); Rometdo Muzawi(2); Agus Alamsyah(3); Reno Renaldi(4); Elisawati Elisawati(5); Nurhadi Nurhadi(6); Mohd Rinaldi Amartha(7); Abdullah Mitrin(8); Hadi Asnal(9); Zupri Henra Hartomi(10);

(1) Universitas Hang Tuah Pekanbaru
(2) STMIK AMIK Riau
(3) Universitas Hang Tuah Pekanbaru
(4) Universitas Hang Tuah Pekanbaru
(5) Universitas Dumai
(6) Universitas Dumai
(7) Universitas Hang Tuah Pekanbaru
(8) Universitas Hang Tuah Pekanbaru
(9) STMIK Amik Riau
(10) Universitas Hang Tuah Pekanbaru
(*) Corresponding Author

  

Abstract


Forest and land fires in Riau are natural disasters that always repeat every time they enter the dry season. The solution of this research is to apply the leading technology of cloud computing internet of things (CC-IoT) to find out more quickly the existence of forest or land fires. This study uses Particle Argon (Photon) to connect to the internet and several IR Fire Detector sensors, DHT22 MQ2 and GPS Neo 6m. Particle Argon can receive input and perform processing so that it is connected using the CC-IoT concept to a web server so the users can monitor land conditions in real time. Based on the test results, it can be concluded that a fire detector using fire parameters (2000 = Normal and > 2000 = Danger) , temperature (≤37 = Normal, 38 – 45 = Alert, and 46 = Danger), humidity (≤50 = Dry, 51 = Humid) , smoke (≤ 1700 = Normal, > 1700 = Danger), and soil moisture can work well (> 3500 = Dry Moisture Content, 1500 to 3500 = Medium Moisture Content, and < 1500 = High Moisture Content). The fire detection tool developed can detect fires in real time and also has a fire early detection function that is useful for anticipating land conditions to prevent fires. The results obtained from the test are that the sensor can read indications of fire, smoke, soil moisture with a success rate of 93% and send location data and sensor values to the website. The use of sensors has their respective roles so that if there is a problem with one of the sensors, the tool has an alternative sensor and can continue to function.


Keywords


Cloud Computing Internet of Things (CC-Iot); Forest and Land Fires; Real Time Monitoring

  
  

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doi  https://doi.org/10.33096/ilkom.v15i3.1636.445-454
  

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References


A. Yusuf, H. Hapsoh, S. H. Siregar, and D. R. Nurrochmat, “Analisis Kebakaran Hutan Dan Lahan Di Provinsi Riau,” Din. Lingkung. Indones., vol. 6, no. 2, p. 67, 2019, doi: 10.31258/dli.6.2.p.67-84.

E. Kumalawati, Rosalina. Dianita Anjarini, “Penyebab kebakaran hutan dan lahan gambut di kabupaten barito kuala provinsi kalimantan selatan,” Pros. Semin. Nas. diselenggarakan Pendidik. Geogr. FKIP UMP, vol. 1, no. 1, pp. 263–275, 2019.

A. Molina-Pico, D. Cuesta-Frau, A. Araujo, J. Alejandre, and A. Rozas, “Forest Monitoring and Wildland Early Fire Detection by a Hierarchical Wireless Sensor Network,” J. Sensors, vol. 2016, 2016, doi: 10.1155/2016/8325845.

R. A. Setyawan, U. Suryadianto, and R. Nalandari, “Rancang Bangun Pendeteksi Dini Kebakaran Hutan Berbasis SMS ( Short Message Service ) Gateway,” vol. 02, no. 02, pp. 1–4, 2020.

I. Sopiandi, “Protoype Restfull Web Service Guna Memonitoring Dan Peringatan Dini Bencana Alam,” Infotech J., vol. 4, no. 1, p. 236706, 2018.

A. Junaidi, “Internet Of Things, Sejarah, Teknologi Dan Penerapannya : Review,” J. Ilm. Teknol. Inf., vol. 1, no. 3, pp. 62–66, 2015.

Y. L. Zheng, H. Lin, and X. L. Su, “Design and implementation of the CNC monitoring system based on Internet of Things,” Adv. Mater. Res., vol. 945–949, no. August, pp. 1552–1557, 2014, doi: 10.4028/www.scientific.net/AMR.945-949.1552.

S. Chang and K. Jeong, “A mobile application for fine dust monitoring system,” Proc. - 18th IEEE Int. Conf. Mob. Data Manag. MDM 2017, pp. 336–339, 2017, doi: 10.1109/MDM.2017.55.

K. J. S. Novian Patria Uman Putra, Aji Akbar Firdaus, Winarno, Alim Prasaja, “The Home Security Monitoring System with Passive Infrared Receiver , Temperature Sensor and Flame Detector Based on Android System,” INTEGER J. Inf. Technol., vol. 6, no. 1, pp. 81–89, 2021.

J. Toledo-Castro, P. Caballero-Gil, N. Rodríguez-Pérez, I. Santos-González, C. Hernández-Goya, and R. Aguasca-Colomo, “Forest Fire Prevention, Detection, and Fighting Based on Fuzzy Logic and Wireless Sensor Networks,” Complexity, vol. 2018, 2018, doi: 10.1155/2018/1639715.

S. K. Bhoi et al., “FireDS-IoT: A Fire Detection System for Smart Home Based on IoT Data Analytics,” Proc. - 2018 Int. Conf. Inf. Technol. ICIT 2018, pp. 161–165, 2018, doi: 10.1109/ICIT.2018.00042.

A. Hidayat et al., “Designing IoT-Based Independent Pulse Oximetry Kit as an Early Detection Tool for Covid-19 Symptoms,” 2020 3rd Int. Conf. Comput. Informatics Eng. IC2IE 2020, pp. 443–448, 2020, doi: 10.1109/IC2IE50715.2020.9274663.

Y. Irawan, R. Wahyuni, M. Muhardi, H. Fonda, M. L. Hamzah, and R. Muzawi, “Real Time System Monitoring and Analysis-Based Internet of Things (IoT) Technology in Measuring Outdoor Air Quality,” Int. J. Interact. Mob. Technol., vol. 15, no. 10, pp. 224–240, 2021, doi: 10.3991/ijim.v15i10.20707.

Y. Choi and Y. Lim, “Optimization Approach for Resource Allocation on Cloud Computing for IoT,” Int. J. Distrib. Sens. Networks, vol. 2016, 2016, doi: 10.1155/2016/3479247.

A. Rojas, “Smart Agriculture IoT with Cloud Computing,” Rev. Hist. América, no. 29, pp. 37–66, 2015.

D. A. Sungheetha and D. R. Sharma R, “Real Time Monitoring and Fire Detection using Internet of Things and Cloud based Drones,” J. Soft Comput. Paradig., vol. 2, no. 3, pp. 168–174, 2020, doi: 10.36548/jscp.2020.3.004.

Y. Irawan, A. W. Novrianto, and H. Sallam, “Cigarette Smoke Detection and Cleaner Based on Internet of Things (Iot) Using Arduino Microcontroller and Mq-2 Sensor,” J. Appl. Eng. Technol. Sci., vol. 2, no. 2, pp. 85–93, 2021, doi: 10.37385/jaets.v2i2.218.

R. Wahyuni, Herianto, Ikhtiyaruddin, and Y. Irawan, “IoT-Based Pulse Oximetry Design as Early Detection of Covid-19 Symptoms,” Int. J. Interact. Mob. Technol., vol. 17, no. 3, pp. 177–187, 2023, doi: 10.3991/ijim.v17i03.35859.

A. R. Abidin, Y. Irawan, and Y. Devis, “Smart Trash Bin for Management of Garbage Problem in Society,” J. Appl. Eng. Technol. Sci., vol. 4, no. 1, pp. 202–208, 2022.

F. Margret Sharmila, P. Suryaganesh, M. Abishek, and U. Benny, “Iot Based Smart Window using Sensor Dht11,” 2019 5th Int. Conf. Adv. Comput. Commun. Syst. ICACCS 2019, no. Icaccs, pp. 782–784, 2019, doi: 10.1109/ICACCS.2019.8728426.

R. Muzawi, Y. Irawan, D. Akhiyar, and D. Setiawan, “Pattern Lock and GPS-Based Motorcycle Security System,” Int. J. Eng. Trends Technol., vol. 70, no. 3, pp. 185–194, 2022, doi: 10.14445/22315381/IJETT-V70I3P221.

Y. Irawan, E. Sabna, A. F. Azim, R. Wahyuni, N. Belarbi, and M. M. Josephine, “Automatic Chili Plant Watering Based on Internet of Things (Iot),” J. Appl. Eng. Technol. Sci., vol. 3, no. 2, pp. 77–83, 2022, doi: 10.37385/jaets.v3i2.532.

Susilawati et al., “Growth and Yield of Several Red Chilli (Capsicum Annuum L.) Peat-Strains on Peat Soil,” IOP Conf. Ser. Earth Environ. Sci., vol. 995, no. 1, p. 012049, 2022, doi: 10.1088/1755-1315/995/1/012049.

A. M. Anika, M. N. Akter, M. N. Hasan, J. F. Shoma, and A. Sattar, “Gas Leakage with Auto Ventilation and Smart Management System Using IoT,” Proc. - Int. Conf. Artif. Intell. Smart Syst. ICAIS 2021, pp. 1411–1415, 2021, doi: 10.1109/ICAIS50930.2021.9395774.

B. B. P. Rao, P. Saluia, N. Sharma, A. Mittal, and S. V. Sharma, “Cloud computing for Internet of Things & sensing based applications,” Proc. Int. Conf. Sens. Technol. ICST, pp. 374–380, 2012, doi: 10.1109/ICSensT.2012.6461705.

Y. Irawan et al., “Design of library noise detection tools based on voice pressure parameters,” Ilk. J. Ilm., vol. 14, no. 3, pp. 237–244, 2022, doi: 10.33096/ilkom.v14i3.1191.237-244.

S. Purwanti, A. Febriani, M. Mardeni, and Y. Irawan, “Temperature Monitoring System for Egg Incubators Using Raspberry Pi3 Based on Internet of Things (IoT),” J. Robot. Control, vol. 2, no. 5, 2021, doi: 10.18196/jrc.25105.

U. Rahmalisa, A. Febriani, and Y. Irawan, “Detector leakage gas LPG based on telegram notification using wemos D1 and MQ-6 sensor,” J. Robot. Control, vol. 2, no. 4, pp. 287–290, 2021, doi: 10.18196/jrc.2493.

R. Muzawi and A. Fauzan, “Prototype Pengontrolan Titik Fokus Panel Surya Terhadap Energi Matahari Secara Otomatis,” Inovtek Polbeng, vol. 3, pp. 1–9, 2018.

Y. Irawan and R. Wahyuni, “Electronic Equipment Control System for Households by using Android Based on IoT ( Internet of Things ),” J. Phys. Conf. Ser., vol. 1783, no. 1, p. 012094, 2021, doi: 10.1088/1742-6596/1783/1/012094.


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Copyright (c) 2023 Yuda Irawan, Rometdo Muzawi, Agus Alamsyah, Reno Renaldi, Elisawati, Nurhadi, Mohd Rinaldi Amartha, Abdullah Mitrin, Hadi Asnal, Zupri Henra Hartomi

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