* Corresponding Author
Hide
Show all
Peningkatan Skalabilitas Mini Weather Station Portable berbasis Internet of Things
https://doi.org/10.22146/ijeis.50377 Nur Achmad Sulistyo Putro(1*), Catur Atmaji(2), Kristiawan Devianto(3), Zandy Yudha Perwira(4)
(1) Departemen Ilmu Komputer dan Elektronika, FMIPA UGM, Yogyakarta
(2) Departemen Ilmu Komputer dan Elektronika, FMIPA UGM, Yogyakarta
(3) Departemen Ilmu Komputer dan Elektronika, FMIPA UGM, Yogyakarta
(4) Departemen Ilmu Komputer dan Elektronika, FMIPA UGM, Yogyakarta
(*) Corresponding Author
Abstract
Indonesia is a country that has unique weather that provides not only abundant natural resources but also can causes disasters at any time. To reduce the threat of losses, observing weather elements using a weather station is a solution that can be used. The development of systems related to environmental monitoring and weather stations is not new. However, most research focuses on various innovations in utilization, low cost and power savings. These studies have not touched on the aspect of ease of system development, especially in the concept of adding nodes. Indonesia, as a country with diverse regional topography, needs an integrated weather monitoring system with the concept of centralized data collection to get a complete picture.
In this study, a portable mini weather station system was built named Amicagama. This system is built with the concept of high scalability which means the system is designed to be used publicly, with each user able to manage the nodes which are their respective weather stations. Management by each user here means that each user can manage weather data to be submitted, add nodes at a new location, and can delete nodes at a certain location if something unexpected happens.
Keywords
Full Text:
PDFReferences
[1] S. Wirjohamidjojo and Y. Swarinoto, Iklim Kawasan Indonesia (Dari Aspek Dinamik - Sinoptik). Jakarta, Indonesia: Badan Meteorologi Klimatologi dan Geofisika, 2010.
[2] A. M. Hadi, B. D. Meidityawati, L. Møller, and U. D. Lasmana, Kesiapsiagaan Bencana Berbasis Masyarakat Strategi dan Pendekatan, I. Jakarta, Indonesia: Palang Merah Indonesia Pusat, 2007.
[3] C. Lu, D. Lin, J. Jia, and C. K. Tang, “Two-Class Weather Classification,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 39, no. 12, pp. 2510–2524, Dec. 2017.
[4] D. Jiang, Y. Tian, and L. Huang, “Design of shipboard complex weather warning system in the Yangtze River,” in ICTIS 2015 - 3rd International Conference on Transportation Information and Safety, Proceedings, 2015, pp. 607–610.
[5] A. Serkov, S. Nikitin, V. Kravchenko, and V. Knyazev, “Thunderstorm hazards early warning system,” in 2015 2nd International Scientific-Practical Conference Problems of Infocommunications Science and Technology, PIC S and T 2015 - Conference Proceedings, 2015, pp. 137–138.
[6] R. H. Eltom, E. A. Hamood, A. A. A. Mohammed, and A. A. Osman, “Early Warning Firefighting System Using Internet of Things,” in 2018 International Conference on Computer, Control, Electrical, and Electronics Engineering, ICCCEEE 2018, 2018.
[7] A. Dersingh, “Design and development of a flood warning system via mobile and computer networks,” in International Conference on Electronics, Information, and Communications, ICEIC 2016, 2016.
[8] S. Jayashree, S. Sarika, A. L. Solai, and S. Prathibha, “A novel approach for early flood warning using android and IoT,” in Proceedings of the 2017 2nd International Conference on Computing and Communications Technologies, ICCCT 2017, 2017, pp. 339–343.
[9] A. Alphonsa and G. Ravi, “Earthquake early warning system by IOT using Wireless sensor networks,” in Proceedings of the 2016 IEEE International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2016, 2016, pp. 1201–1205.
[10] M. Klapez, C. A. Grazia, S. Zennaro, M. Cozzani, and M. Casoni, “First Experiences with Earthcloud, a Low-Cost, Cloud-Based IoT Seismic Alert System,” in International Conference on Wireless and Mobile Computing, Networking and Communications, 2018, vol. 2018-October, pp. 262–269.
[11] H. Tariq, F. Touati, M. A. E. Al-Hitmi, D. Crescini, and A. Ben Manouer, “Design and Implementation of Programmable Multi-Parametric 4-Degrees of Freedom Seismic Waves Ground Motion Simulation IoT Platform,” 2019, pp. 1935–1939.
[12] L. Awaludin and O. A. Dhewa, “Low Cost Sensor Node Device for Monitoring Landslides,” IJEIS (Indonesian J. Electron. Instrum. Syst., vol. 8, no. 2, p. 201, 2018.
[13] C. Morón, J. P. Diaz, D. Ferrández, and P. Saiz, “Design, development and implementation of a weather station prototype for renewable energy systems,” Energies, vol. 11, no. 9, 2018.
[14] G. Piñeres-Espitia, A. Cama-Pinto, D. De La Rosa Morrón, F. Estevez, and D. Cama-Pinto, “Design of a low cost weather station for detecting environmental changes,” Rev. Espac., vol. 38, no. 59, pp. 13–29, 2017.
[15] R. K. M. Math and N. V. Dharwadkar, “IoT Based low-cost weather station and monitoring system for precision agriculture in India,” in Proceedings of the International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2018, 2019, pp. 81–86.
[16] M. Nsabagwa, M. Byamukama, E. Kondela, and J. S. Otim, “Towards a robust and affordable Automatic Weather Station,” Dev. Eng., vol. 4, p. 100040, Jan. 2019.
[17] M. Kusriyanto and A. A. Putra, “Weather Station Design Using IoT Platform Based On Arduino Mega,” in ISESD 2018 - International Symposium on Electronics and Smart Devices: Smart Devices for Big Data Analytic and Machine Learning, 2019.
[18] R. K. Kodali and A. Sahu, “An IoT based weather information prototype using WeMos,” in Proceedings of the 2016 2nd International Conference on Contemporary Computing and Informatics, IC3I 2016, 2016, pp. 612–616.
[19] L. Z. Turos, G. Csernath, and B. Csenteri, “Power Management in IoT Weather Station,” in EPE 2018 - Proceedings of the 2018 10th International Conference and Expositions on Electrical And Power Engineering, 2018, pp. 133–138.
[20] E. R. Kaburuan, R. Jayadi, and Harisno, “A Design of IoT-based Monitoring System for Intelligence Indoor Micro-Climate Horticulture Farming in Indonesia,” Procedia Comput. Sci., vol. 157, pp. 459–464, Jan. 2019.
[21] F. Meier, D. Fenner, T. Grassmann, M. Otto, and D. Scherer, “Crowdsourcing air temperature from citizen weather stations for urban climate research,” Urban Clim., vol. 19, pp. 170–191, Jan. 2017.
[22] C. L. Muller et al., “Crowdsourcing for climate and atmospheric sciences: Current status and future potential,” Int. J. Climatol., vol. 35, no. 11, pp. 3185–3203, 2015.
[23] L. Chapman, C. Bell, and S. Bell, “Can the crowdsourcing data paradigm take atmospheric science to a new level? A case study of the urban heat island of London quantified using Netatmo weather stations,” Int. J. Climatol., vol. 37, pp. 3597–3605, 2016.
[24] A. Singh, A. Payal, and S. Bharti, “A walkthrough of the emerging IoT paradigm: Visualizing inside functionalities, key features, and open issues,” Journal of Network and Computer Applications, vol. 143. Academic Press, pp. 111–151, 01-Oct-2019.
[25] M. Dachyar, T. Y. M. Zagloel, and L. R. Saragih, “Knowledge growth and development: internet of things (IoT) research, 2006–2018,” Heliyon, vol. 5, no. 8, p. e02264, Aug. 2019.
[26] J. H. Nord, A. Koohang, and J. Paliszkiewicz, “The Internet of Things: Review and theoretical framework,” Expert Systems with Applications, vol. 133. Pergamon, pp. 97–108, 01-Nov-2019.
[27] F. Alkhabbas, R. Spalazzese, and P. Davidsson, “Characterizing Internet of Things Systems through Taxonomies: A Systematic Mapping Study,” Internet of Things, vol. 7, p. 100084, Sep. 2019.
DOI: https://doi.org/10.22146/ijeis.50377
Article Metrics
Abstract views : 3357
| 
views : 2260
Refbacks
- There are currently no refbacks.
Copyright (c) 2019 IJEIS (Indonesian Journal of Electronics and Instrumentation Systems)
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
View My Stats1