Rainless Day Management using Geographic Information System and Wireless Sensor Networks on Climatology Station Banjarbaru


  • Raden Yani Gusriani Islamic State University Antasari Banjarmasin
  • Munsyi M.T UIN Antasari Banjarmasin
  • Arum Murdianingsih Lambung Mangkurat University Banjarmasin


Climatology Station HTH Google Maps Api Research and Development Internet of Things Wireless Sensor Networks


Information obtained at the Banjarbaru Climatology Station includes seasonal forecasts, rainfall analysis, rainfall properties analysis, rainy day analysis, and monitoring of rainless days in the South Kalimantan region. Monitoring of Rainless Day is a form of data on rainless days that occur in South Kalimantan in sequence. The data is sent by observers to the Banjarbaru Climatology Station office using SMS, WhatsApp, and even by calling the staff of the Banjarbaru Climatology Station so that employees must check every media both SMS, WhatsApp, and telephone to find out the data sent by observers. Related to these problems, a web-based rainless day monitoring application was made. By using the Research and Development (R&D) method to facilitate the management of rainless day data, a geographic information system management system using Google Maps API and MySQL database is built which is integrated with Internet of Things (IoT) technology based on Wireless Sensor Networks (WSN) for data collection in real-time. The system built will provide notifications in the management of areas affected by rainless days in order to deal with drought.


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L. Ellitan, “Competing in the Era of Industrial Revolution 4.0 and Society 5.0,” J. Maksipreneur Manajemen, Koperasi, dan Entrep., vol. 10, no. 1, p. 1, 2020, doi: 10.30588/jmp.v10i1.657.

C. Networks, M. J. Manurung, S. R. Andani, and M. Safii, “Machine Translated by Google Journal of Computer Networks , Architecture and High Performance Computing,” vol. 3, no. 1, pp. 42–51, 2021.

Munsyi, A. Sudarsono, and M. U. H. Al Rasyid, “Secure data exchange using Authenticated Attribute-based encdryption with Revocation for environmental monitoring,” Int. J. Adv. Sci. Eng. Inf. Technol., vol. 8, no. 5, pp. 1948–1955, 2018, doi: 10.18517/ijaseit.8.5.7223.

Munsyi, A. Sudarsono, and M. U. H. Al Rasyid, “Secure Data Exchange Based on Wireless Sensor Network for Environmental Monitoring Using Dynamical Attributed Based Encryption,” Int. J. Adv. Sci. Eng. Inf. Technol., vol. 11, no. 4, pp. 1306–1315, 2021, doi: 10.18517/ijaseit.11.4.8546.

N. Fahmi, S. Huda, A. Sudarsono, and M. U. H. Al Rasyid, “Fuzzy logic for an implementation environment health monitoring system based on wireless sensor network,” J. Telecommun. Electron. Comput. Eng., vol. 9, no. 2–4, pp. 119–122, 2017.

A. Azwardi, S. Sukanto, A. M. Igamo, and A. Kurniawan, “Carbon Emissions, Economic Growth, Forest, Agricultural Land and Air Pollution in Indonesia,” Int. J. Energy Econ. Policy, vol. 11, no. 4, pp. 537–542, 2021, doi: 10.32479/ijeep.11119.

D. I. A. McKay et al., “Exceeding 1.5°C global warming could trigger multiple climate tipping points,” Science (80-. )., vol. 377, no. 6611, Sep. 2022, doi: 10.1126/SCIENCE.ABN7950/SUPPL_FILE/SCIENCE.ABN7950_DATA_S1.ZIP.

X. Ma, J. Li, K. Zhao, T. Wu, and P. Zhang, “Simulation of Spatial Service Range and Value of Carbon Sink Based on Intelligent Urban Ecosystem Management System and Net Present Value Models—An Example from the Qinling Mountains,” Forests, vol. 13, no. 3, 2022, doi: 10.3390/f13030407.

Munsyi, A. Sudarsono, and M. U. H. Al Rasyid, “Secure data sensor in environmental monitoring system using attribute-based encryption with revocation,” Int. J. Adv. Sci. Eng. Inf. Technol., vol. 7, no. 2, pp. 609–624, 2017, doi: 10.18517/ijaseit.7.2.2175.

N. Amangeldiyev and P. Siegfried, “Concepts , Applications , and Challenges of the Internet of things,” vol. 7, no. 2, pp. 1–12, 2023.

M. Munsyi, M. S. Febriadi, and N. Saubari, “Environmental Monitoring Berbasis Internet of Things Untuk Peternakan Cerdas,” Jukung (Jurnal Tek. Lingkungan), vol. 5, no. 1, pp. 56–64, 2019, doi: 10.20527/jukung.v5i1.6201.

M. Norhidayati, “Impression Flow Based on Comment in Islamic Studies from Instagram Using Sentiment Analysis,” vol. 20, no. 1, pp. 42–56, 2021.

J. S. Haugdahl and K. J. Thurber, “LAN management technology,” vol. 1, no. 5, pp. 150–155, 1989, doi: 10.1109/lcn.1989.65255.

W. S. Afriyas Ulfa, “Penentuan Kriteria Musim Alternatif Di Wilayah Jawa Timur (Determination of Alternative Season In East Java),” J. Meteorol. Geophys., no. 5, pp. 145–153, 2014.

E. Abdul Kadir, S. Listia Rosa, A. Syukur, M. Othman, and H. Daud, “Forest fire spreading and carbon concentration identification in tropical region Indonesia,” Alexandria Eng. J., vol. 61, no. 2, pp. 1551–1561, 2022, doi: 10.1016/j.aej.2021.06.064.

S. Muslimah, R. Hidayat, and W. Hanggoro, “Pola Spasial Dan Temporal Prediksi Hujan Indonesia Barat Menggunakan Wrf-Ems,” J. Meteorol. dan Geofis., vol. 17, no. 1, pp. 1–7, 2016, doi: 10.31172/jmg.v17i1.371.




How to Cite

Gusriani , R. Y., M.T, M., & Murdianingsih, A. (2022). Rainless Day Management using Geographic Information System and Wireless Sensor Networks on Climatology Station Banjarbaru . Applied Technology and Computing Science Journal, 5(2), 75–84. Retrieved from https://journal2.unusa.ac.id/index.php/ATCSJ/article/view/3776