I Putu Susila, Agung Alfiansyah, Istofa Istofa, Sukandar Sukandar, Budi Santoso, Suratman Suratman



Public protection is one of important issues when operating nuclear facility. In case of accident occurs, the facility owner and related organizations shall make decision whether to evacuate people or not, based on the level of the accident and radiation dose rate released to the environment. In this study, as part of the decision support system for nuclear emergency response, a prototype of mobile radiation measurement system has been developed. The device consists of Geiger-Muller (GM)-based radiation measurement board, Global Positioning System (GPS) module, microcontroller board, and low power LoRa module for communication. Radiation dose rate along with its geoposition were recorded and sent to base station equipped with LoRa gateway for connecting LoRa network to TCP/IP-based network. The measurement data is then published to storage server using Message Queuing Telemetry Transport (MQTT) protocol. Power consumption, measurement of counter/timer accuracy, communication ranges testing, and radiation dose rate measurement were performed around Puspiptek area to demonstrate the functionality of the system.

Keywords: Radiation monitoring, Decision Support System, Mobile, LoRa, GPS

Full Text:



  1. Kinoshita N., Sueki K., Sasa K., Kitagawa J., Ikarashi S., Nishimura T., et al. Assessment of individual radionuclide distributions from the Fukushima nuclear accident covering central-east Japan. Proc. Natl. Acad. Sci. 2011. 108(49):19526–9.
  2. Ehrhardt J., Päsler-Sauer J., Schüle O., Benz G., Rafat M., Richter J. Development of RODOS*, A Comprehensive Decision Support System for Nuclear Emergencies in Europe - An Overview. Radiat. Prot. Dosimetry. 2017. 50(2–4):195–203.
  3. Hoe S., Mueller H. ARGOS - a decision support system for nuclear emergencies. in: International Symposium on Off-site Nuclear Emergency Management. Salzburg. 2003. p. 170.
  4. Vangelista L., Zanella A., Zorzi M. Long-Range IoT Technologies: The Dawn of LoRaTM.Springer, Cham; 2015. pp. 51–8.
  5. Augustin A., Yi J., Clausen T., Townsley W., Augustin A., Yi J., et al. A Study of LoRa: Long Range & Low Power Networks for the Internet of Things. Sensors. 2016. 16(9):1466.
  6. LoRa AllianceTM [Accessed: 5 April 2019]. Available from:
  7. Hadwen T., Smallbon V., Zhang Q., D’Souza M. Energy efficient LoRa GPS tracker for dementia patients. in: 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 2017. pp. 771–4.
  8. Arduino [Accessed: 5 April 2019]. Available from:
  9. Badamasi Y.A. The working principle of an Arduino. in: 2014 11th International Conference on Electronics, Computer and Computation (ICECCO). 2014. pp. 1–4.
  10. OpenWRT [Accessed: 5 April 2019]. Available from:
  11. Benchmark of MQTT servers. 2015.
  12. Farid M.M., Prawito, Susila I.P., Yuniarto A. Design of early warning system for nuclear preparedness case study at Serpong. in: AIP Conference Proceedings. 2017. p. 030067.
  13. Susila I.P., Yuniarto A., Cahyana C., Cahyana C. Monitoring and Analysis of Environmental Gamma Dose Rate around Serpong Nuclear Complex. Atom Indones. 2017. 43(2):87.
  14. Susila I.P., Istofa, Kusuma G., Sukandar, Isnaini I. Development of IoT based meteorological and environmental gamma radiation monitoring system. in: AIP Conference Proceedings. 2018. p. 060004.
  15. Martinez B., Monton M., Vilajosana I., Prades J.D. The Power of Models: Modeling Power Consumption for IoT Devices. IEEE Sens. J. 2015. 15(10):5777–89.
  16. Deepu C.J., Heng C.-H., Lian Y. A Hybrid Data Compression Scheme for Power Reduction in Wireless Sensors for IoT. IEEE Trans. Biomed. Circuits Syst. 2017. 11(2):245–54.
  17. Seftelis I., Nicolaou G., Trassanidis S., Tsagas F.N. Diurnal variation of radon progeny. J. Environ. Radioact. 2007. 97(2–3):116–23.
  18. Bencloski J.W. Air temperature and relative humidity: A simulation. J. Geog. 1982. 81(2):64–5.
  19. Lawrence M.G., Lawrence M.G. The Relationship between Relative Humidity and the Dewpoint Temperature in Moist Air: A Simple Conversion and Applications. Bull. Am. Meteorol. Soc. 2005. 86(2):225–34.
  20. Valsson S., Bharat A. Impact of Air Temperature on Relative Humidity - A study. Archit. – Time Sp. People. 2011.(February):38–41.


  • There are currently no refbacks.

PTKRN Digital Library Mendeley