Early Warning Design for Environmental Radioactivity Using Unmanned Aircraft in a Radiation Monitoring System as an Effort to Maintain Public Health

Budi Gunawan (1), Barito Mulyo Ratmono (2), Ade Gafar Abdullah (3), Devina Chandra Dewi (4)
(1) Medical Intelligence Postgraduate Program, Sekolah Tinggi Intelijen Negara, Bogor, Indonesia
(2) Medical Intelligence Postgraduate Program, Sekolah Tinggi Intelijen Negara, Bogor, Indonesia
(3) Electrical Engineering Study Program, Universitas Pendidikan Indonesia, Bandung, Indonesia
(4) Medical Intelligence Postgraduate Program, Sekolah Tinggi Intelijen Negara, Bogor, Indonesia
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How to cite (IJASEIT) :
Gunawan, Budi, et al. “Early Warning Design for Environmental Radioactivity Using Unmanned Aircraft in a Radiation Monitoring System As an Effort to Maintain Public Health”. International Journal on Advanced Science, Engineering and Information Technology, vol. 14, no. 4, Aug. 2024, pp. 1418-27, doi:10.18517/ijaseit.14.4.19691.
Radiation monitoring using unmanned aircraft detection systems can reduce the impact of radioactive element activity and contamination. The design of an early warning system using unmanned aircraft and real-time and visual monitoring is a crucial step towards achieving national security by providing an early warning of the dangers of radioactivity that cannot be measured in the environment and can be a health threat. Unmanned aircraft are equipped with detectors and other supporting devices to obtain data: date, time, coordinates, altitude, radiation value, temperature, humidity, battery status, and pressure. The data is managed in the phpMyAdmin database by adjusting the table structure. The receiving device is equipped with the MIT App Inventor application, which was previously designed. The MIT App Inventor display design was prepared by inserting a user interface with labels, text boxes, layout settings, and connectivity to the IP server. Meanwhile, the programming is saved in the installed XAMPP folder. The information data is then processed to obtain radiation level monitoring results in visual form and integrated with databases and servers. The results of developing this technology not only facilitate data analysis in knowing the location and level of radiation when monitoring the environment or solving problems in affected areas but also pave the way for further advancements in radiation monitoring systems.

K. Al-Obaidi and M. Valyrakis, "A Sensory Instrumented Particle for Environmental Monitoring Applications: Development and Calibration," IEEE Sensors Journal, vol. 21, no. 8, pp. 10153-10166, 15 April15, 2021, doi: 10.1109/JSEN.2021.3056041.

M.A. Mamun and M.R Yuce, “Recent Progress in Nanomaterial Enabled Chemical Sensors for Wearable Environmental Monitoring Applications,” Advanced Functional Materials, vol. 30, issue 51, Sept. 2020, doi:10.1002/adfm.202005703.

A.A Putri, “Pengaruh Hazard Kimia Terhadap Kesehatan,” Mapping Intimacies, Nov. 2020, doi:10.31219/osf.io/huzb9.

E. Setiawan, S. Sasmito, H. Sulistiyono, M. B. Budianto, and S. Hidayat, “Sistem Monitoring Peringatan Dini Banjir Untuk Mendukung Mitigasi Bencana Di Desa Kuta, Kabupaten Lombok Tengah,” J. Pepadu, vol. 3, no. 1, pp. 76–81, 2022, doi:10.29303/pepadu.v3i1.2304.

M. Javaid, A. Haleem, S. Rab, R. Pratap Singh, and R. Suman, “Sensors for daily life: A review,” Sensors International, vol. 2. KeAi Communications Co., Jan. 01, 2021. doi: 10.1016/j.sintl.2021.100121.

S. Kristi, K. Saleh and M. Ariani, “Rancang Bangun Sistem Pemantauan Radiasi Radioaktif Dalam Ruangan Secara Otomatis Berbasis Mikrokontroler Arduino Nano,” Sriwijaya University Institutional Repository, Sept. 2020, Corpus ID: 229034702

S. Patel, S. Sutaria, R. Daga, M. Shah, and M. Prajapati, “A systematic study on complementary metal-oxide semiconductor technology (CMOS) and Internet of Things (IOT) for radioactive leakage detection in nuclear plant,” Nucl. Anal., vol. 2, no. 3, 2023, doi:10.1016/j.nucana.2023.100080.

J. M. Szumega, H. Boukabache, and D. Perrin, “Neural network approach for efficient calculation of the current correction value in the femtoampere range for a new generation of ionizing radiation monitors at CERN,” Radiat. Phys. Chem., vol. 188, no. April, 2021, doi:10.1016/j.radphyschem.2021.109539.

B. Dash, “Gap between impact-based and impact forecast and warning: Implications for people-centric early warning system (EWS) in India,” Nat. Hazards Res., vol. 4, no. 1, pp. 110–117, 2024, doi:10.1016/j.nhres.2023.09.005.

H. J. Lee, D. Lee, and J. Kim, “Event diagnosis method for a nuclear power plant using meta-learning,” Nucl. Eng. Technol., vol. 56, no. December 2023, pp. 1989–2001, 2024, doi:10.1016/j.net.2024.01.005.

V. G. W. Raharnata, “Rancang Bangun Pemantauan Pencemaran Udara Menggunakan Autonomous Waypoint Quadcopter,” J. Teknol. Elektro, vol. 12, no. 2, p. 94, 2021, doi: 10.22441/jte.2021.v12i2.008.

C. A. Toro-Arcila, H. M. Becerra, and G. Arechavaleta, “Visual path following with obstacle avoidance for quadcopters in indoor environments,” Control Eng. Pract., vol. 135, no. March, 2023, doi:10.1016/j.conengprac.2023.105493.

R. F. Muslim, “Sistem Pendeteksi Area Logistik Pada Pada Pesawat Tanpa Awak Untuk Area Perkebunan,” Telekontran J. Ilm. Telekomun. Kendali dan Elektron. Terap., vol. 8, no. 2, pp. 113–122, 2021, doi: 10.34010/telekontran.v8i2.3806.

A. R. Akbar and A. Imron, “Penerbangan otomatis pesawat tanpa awak sayap tetap menggunakan flight controller berbasis iNav,” J. Ilmu Komput. dan Agri-Informatika, vol. 9, no. 1, pp. 90–100, 2022, doi:10.29244/jika.9.1.90-100.

M. A. Hakim, H. Emawati, and D. E. Mujahiddin, “Pemanfaatan Pesawat Tanpa Awak Untuk Pemetaan Dan Identifikasi Penutupan Lahan Pada Kawasan Hutan Pendidikan Unmul,” Agrifor, vol. 20, no. 1, p. 47, 2021, doi: 10.31293/agrifor.v20i1.4900.

S. Widodo, A. Farida, A. Maysyurah, and A. Widianto, “Pemanfaatan Teknologi Drone Dalam Pemetaan Digital (Fotogrametri) Menggunakan Kerangka Ground Control Point (GCP) di Daerah Irigasi Waibu Distrik Salawati Tengah,” Musamus J. Civ. Eng., vol. 5, no. 02, pp. 36–43, 2023, doi: 10.35724/mjce.v5i02.5078.

A. D. Harfi, M. R. Rosa, M. Z. Romdlony and S. Sasmono, "Automated Kite Detecting Drone Using YOLOv4," 2022 6th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE), Yogyakarta, Indonesia, 2022, pp. 600-605, doi:10.1109/ICITISEE57756.2022.10057755.

H. D. Hutahean, B. D. Waluyo, and M. A. Rais, “Teknologi Identifikasi Objek Berbasis Drone Menggunakan Algoritma Sift Citra Digital,” J. Sains dan Seni ITS, vol. 6, no. 1, pp. 51–66, 2017, doi:10.17605/jti.v4i2.590.

I. G. Feryanda Frasiska, I. I. N. Budiastra, MKes., MT, and P. Rahardjo, S.T.,M.T., “Sistem Pesawat Tanpa Awak Menggunakan Kamera Thermal Untuk Membantu Pencarian Korban Bencana Alam,” J. Spektrum, vol. 7, no. 4, p. 100, 2020, doi:10.24843/spektrum.2020.v07.i04.p13.

X. Olaz, D. Alaez, M. Prieto, J. Villadangos, and J. J. Astrain, “Quadcopter neural controller for take-off and landing in windy environments,” Expert Syst. Appl., vol. 225, no. December 2022, 2023, doi: 10.1016/j.eswa.2023.120146.

H. Xu, S. Barbot, and T. Wang, “Remote sensing through the fog of war: Infrastructure damage and environmental change during the Russian-Ukrainian conflict revealed by open-access data,” Nat. Hazards Res., vol. 4, no. 1, pp. 1–7, 2024, doi:10.1016/j.nhres.2024.01.006.

K. Tempa et al., “UAV technique to localize landslide susceptibility and mitigation proposal: A case of Rinchending Goenpa landslide in Bhutan,” Nat. Hazards Res., vol. 1, no. 4, pp. 171–186, 2021, doi:10.1016/j.nhres.2021.09.001.

C. Xu and Z. Xue, “Applications and challenges of artificial intelligence in the field of disaster prevention, reduction, and relief,” Nat. Hazards Res., vol. 4, no. 1, pp. 169–172, 2024, doi:10.1016/j.nhres.2023.11.011.

J. Zhang, H. Xia, Z. Wang, Y. Zhu, and Y. Fu, “Research on unsupervised condition monitoring method of pump-type machinery in nuclear power plant,” Nucl. Eng. Technol., vol. 56, no. December 2023, pp. 2220–2238, 2024, doi: 10.1016/j.net.2024.01.031.

A. E. Amoran, A. S. Oluwole, E. O. Fagorola, and R. S. Diarah, “Home automated system using Bluetooth and an android application,” Sci. African, vol. 11, pp. 1–8, 2021, doi: 10.1016/j.sciaf.2021.e00711.

Q. Ma, M. R. M. Rejab, and M. S. Idris, “Dataset of the lab-scale 3-axis winding machine integrated with the portable real-time winding angle measurement system,” Data Br., vol. 45, 2022, doi:10.1016/j.dib.2022.108731.

L. C. Evangelista Bem, B. de Barros Brito, P. H. Pereira de Oliveira, A. B. de Moura Santos, and J. C. da Silva, “Development of an application for the verification of electricity rates,” e-Prime - Adv. Electr. Eng. Electron. Energy, vol. 3, no. January, 2023, doi:10.1016/j.prime.2023.100122

P. Soni, C. de Runz, F. Bouali, and G. Venturini, “A survey on automatic dashboard recommendation systems,” Vis. Informatics, vol. 8, no. 1, pp. 67–79, 2024, doi: 10.1016/j.visinf.2024.01.002.

H. Housni, N. Amrous, N. Daoudi, and M. J. Malzi, “Strategic analysis for advancing Morocco’s nuclear infrastructure using PESTELE framework,” Nucl. Anal., vol. 3, no. 2, 2024, doi:10.1016/j.nucana.2024.100110.

K. Hakim, R. Gernowo, and A. W. Nirwansyah, “Flood prediction with time series data mining: Systematic review,” Nat. Hazards Res., no. September, 2023, doi: 10.1016/j.nhres.2023.10.001.

B. T. Hoa, Y. Jo, and J. Y. Lee, “Preliminary assessment of derived concentration guideline level (DCGL) for a hypothetical contaminated site planned for Ninh Thuan 1 nuclear power plant project in Vietnam by using RESRAD-ONSITE code,” Nucl. Eng. Technol., vol. 56, no. December 2023, pp. 2274–2281, 2024, doi:10.1016/j.net.2024.01.038.

Z. Zhou et al., “VisCI: A visualization framework for anomaly detection and interactive optimization of composite index,” Vis. Informatics, vol. 8, no. 2, pp. 1–12, 2024, doi:10.1016/j.visinf.2024.04.001.

J. Xu et al., “IMVis: Visual analytics for influence maximization algorithm evaluation in hypergraphs,” Vis. Informatics, vol. 8, no. 2, pp. 13–26, 2024, doi: 10.1016/j.visinf.2024.04.006.

Y. Wang et al., “DSEMR : A database for special environment microorganisms resource and associating them with synthetic biological parts,” vol. 8, no. September, pp. 647–653, 2023.

H. Ardiny, A. Beigzadeh, and H. Mahani, “Applications of unmanned aerial vehicles in radiological monitoring: A review,” Nuclear Engineering and Design, vol. 422, p. 113110, Jun. 2024, doi:10.1016/j.nucengdes.2024.113110.

N. Chauhan, R. Kumar, S. Mukherjee, A. Hazra, and K. Giri, “Ultra-resolution unmanned aerial vehicle (UAV) and digital surface model (DSM) data-based automatic extraction of urban features using object-based image analysis approach in Gurugram, Haryana,” Appl. Geomatics, vol. 14, no. 4, pp. 751–764, 2022, doi: 10.1007/s12518-022-00466-8.

V. Lambey and A. D. Prasad, “Unmanned Aerial Vehicle Applications of 3D Modelling, Visualization and Parameter Calculations,” vol. XLII, no. November, pp. 20–23, 2018, doi:10.5194/isprs-archives-XLII-5-649-2018.

B. Rawat, S. Purnama, and M. Mulyati, “MySQL Database Management System (DBMS) On FTP Site LAPAN Bandung,” Int. J. Cyber IT Serv. Manag., vol. 1, no. 2, pp. 173–179, 2021, doi:10.34306/ijcitsm.v1i2.47.

W. Sriratana, V. Khagwian and S. Satthamsakul, "Analysis of Electric Current by Using MySQL Database on Web Server for Machine Performance Evaluation: A Case Study of Air Conditioning System," 2020 20th International Conference on Control, Automation and Systems (ICCAS), Busan, Korea (South), 2020, pp. 437-442, doi:10.23919/ICCAS50221.2020.9268222.

K. Christiono and H. Sama, “Studi Komparasi Database Management System Antara Maria Db Dan Postgresql Terhadap Efisiensi Penggunaan Sumber Daya Komputer,” Conf. Business, Soc. Sci. Innov. Technol., vol. 1, pp. 573–579, 2020.

MIT App Inventor [Online]. Available : http://appinventor.mit.edu/about-us, Accessed on: May, 2023.

T. Mikolajczyk, H. Fuwen, L. Moldovan, A. Bustillo, H. Fuwen, and A. Bustillo, “Selection of machining parameters with Android application made using MIT App Inventor bookmarks,” Procedia Manuf., vol. 22, pp. 172–179, 2018, doi:10.1016/j.promfg.2018.03.027.

D. C. Dewi, F. S. Ningsih, D. F. Atmoko, and I. Shobari, “Desain Mapping Dan Komunikasi Lora Sx1276 Pada Sistem Deteksi Radiasi Menggunakan Drone,” PRIMA - Apl. dan Rekayasa dalam Bid. Iptek Nukl., vol. 17, no. 2, pp. 21–30, 2020.

M. Kumar, N. Kaur, and N. Singh, “NiCr2O4 nanozyme based portable sensor kit for on-site quantification of nerve agent mimic for environment monitoring,” Sensors Actuators B Chem., vol. 392, no. June, pp. 0–2, 2023, doi: 10.1016/j.snb.2023.134080.

A. Anjomshoaa, F. Duarte, D. Rennings, T. J. Matarazzo, P. deSouza and C. Ratti, "City Scanner: Building and Scheduling a Mobile Sensing Platform for Smart City Services," IEEE Internet of Things Journal, vol. 5, no. 6, pp. 4567-4579, Dec. 2018, doi:10.1109/JIOT.2018.2839058.

Apache Friends. XAMPP [Online]. Available: https://www.apachefriends.org/index.html, Accessed on: May, 2023.

H. O. Obekpa and A. A. Alola, “Asymmetric response of energy efficiency to research and development spending in renewables and nuclear energy usage in the United States,” Prog. Nucl. Energy, vol. 156, no. December 2022, 2023, doi: 10.1016/j.pnucene.2022.104522.

J. W. Wang, “Nuclear power technologies development: Historical track and future evolution,” J. Clean. Prod., vol. 439, no. November 2023, 2024, doi: 10.1016/j.jclepro.2024.140915.

T. Higuchi, H. Yamaguchi, and T. Higashino, “Mobile devices as an infrastructure: A survey of opportunistic sensing technology,” J. Inf. Process., vol. 23, no. 2, pp. 94–104, 2015, doi: 10.2197/ipsjjip.23.94.

A. U. Rehman, Y. Khan, R. U. Ahmed, N. Ullah, and M. A. Butt, “Human tracking robotic camera based on image processing for live streaming of conferences and seminars,” Heliyon, vol. 9, no. 8, 2023, doi: 10.1016/j.heliyon.2023.e18547.

H. Sarmadi, A. Entezami, K. V. Yuen, and B. Behkamal, “Review on smartphone sensing technology for structural health monitoring,” Meas. J. Int. Meas. Confed., vol. 223, no. September, 2023, doi:10.1016/j.measurement.2023.113716.

L. Romero Rodríguez, J. Sánchez Ramos, and S. Álvarez Domínguez, “Simplifying the process to perform air temperature and UHI measurements at large scales: Design of a new APP and low-cost Arduino device,” Sustain. Cities Soc., vol. 95, no. March, 2023, doi:10.1016/j.scs.2023.104614.

A. H. Alavi and W. G. Buttlar, “An overview of smartphone technology for citizen-centered, real-time and scalable civil infrastructure monitoring,” Futur. Gener. Comput. Syst., vol. 93, pp. 651–672, 2019, doi: 10.1016/j.future.2018.10.059.

S. Li, H. Wang, and Y. Zhang, “Assessment of supervision monitoring for radiation environment around the typical research reactors in China,” Nucl. Eng. Technol., vol. 53, no. 12, pp. 4150–4157, 2021, doi: 10.1016/j.net.2021.06.032.

J. W. Kim, H. Y. Joo, J. H. Moon, and G. J. Lee, “Development of a radiation detector for the radioactive-plume monitoring network (RPMN),” Prog. Nucl. Energy, vol. 123, no. February, 2020, doi:10.1016/j.pnucene.2020.103290.

K. A. Pradeep Kumar, G. A. Shanmugha Sundaram, B. K. Sharma, S. Venkatesh, and R. Thiruvengadathan, “Advances in gamma radiation detection systems for emergency radiation monitoring,” Nucl. Eng. Technol., vol. 52, no. 10, pp. 2151–2161, 2020, doi:10.1016/j.net.2020.03.014..

P. Masoudi, M. Le Coz, M. A. Gonze, and C. Cazala, “Estimation of fukushima radio-cesium deposits by airborne surveys: Sensitivity to the flight-line spacing,” J. Environ. Radioact., vol. 222, no. June, 2020, doi: 10.1016/j.jenvrad.2020.106318.

W. Wahyudi, K. Kusdiana, M. Wiyono, and D. Iskandar, “Analisis Dosis Radiasi Alam Dari Paparan Radon Dan Radiasi Gamma Di Rumah Penduduk Di Kalimantan Barat,” Ganendra Maj. Iptek Nukl., vol. 22, no. 2, p. 63, 2019, doi: 10.17146/gnd.2019.22.2.5094.

A. D. Omojola, M. O. Akpochafor, and S. O. Adeneye, “Validation of entrance surface air kerma of MTS-N (LiF: Mg, Ti) chips with reference ionisation chamber using kilovoltage X-ray machine for patient dosimetry,” South African Radiogr., vol. 58, no. 2, pp. 16–21, 2020.

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