Geofence untuk Deteksi Virtual Perimeter pada Aset Daerah Irigasi

Rachmat Wahid Saleh Insani

doi:10.21067/smartics.v6i2.4800

Authors

Rachmat Wahid Saleh Insani Universitas Muhammadiyah Pontianak

DOI:

https://doi.org/10.21067/smartics.v6i2.4800

Keywords:

Geofence, Android, Irrigation Asset

Abstract

Irrigation Area is a region consisting of an irrigation network aimed to improve agricultural products' effectivity and efficiency. In every development and refinement phases of the irrigation network, monitoring and preservation proceeds for every irrigation asset is a must. Floodgates, natural rivers, primary canals, secondary canals, tertiary canals, and collector canals are the irrigation assets. One of the essential data for the asset irrigation surveyors while conducting assets monitor and maintain is the geolocation data. For each irrigation areas and their assets are in multiple areas with difficult to accessed and observed. Hence, the geolocation data for every irrigation area's border and the asset's location point obtained while neglecting accurate. Therefore, monitoring and maintaining asset also obstructed as inaccurate geolocation data. Geofence is a virtual perimeter technology constitute geolocation data point with radius in a circle on the digital map. This research proposed a virtual perimeter detection system for irrigation asset locations with geofence technology. The irrigation asset data we used are from Kubu Raya Regency, West Borneo Province. The system runs in the Android operating system as the surveyor could use the geolocation data directly on the field.

References

Niu B, Li Q, Zhu X, Cao G, Li H. (2015). Enhancing privacy through caching in location-based services. 2015 IEEE conference on computer communications (INFOCOM). 1017-1025. IEEE.

Nguyen, K,T., Olgin, J,E., Pletcher, M,J., Ng, M., Kaye, L., Moturu, S., Gladstone, R,A., Malladi, C., Fann, A,H., Maguire, C., Bettencourt, L. (2017). Smartphone-based geofencing to ascertain hospitalizations. Circulation: Cardiovascular Quality and Outcomes, 10 (3).

R. Passarella et al. (2017). Disaster mitigation management using geofencing in Indonesia. 2017 11th International Conference on Telecommunication Systems Services and Applications (TSSA), 1-4, doi: 10.1109/TSSA.2017.8272909.

Qayum, O., & Sohail, T. (2016). FenceBook a Geofencing based Advertisements Application Using Android. Adv. Sci. Technol. Eng. Syst. J., 1(5), 27-33.

Suyama, A., & Inoue, U. (2016). Using geofencing for a disaster information system. In 2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS), 1-5. IEEE.

Stevens, M. N. & Atkins, E. M., (2016). Multi-mode guidance for an independent multicopter geofencing system. Washington DC, 16th AIAA Aviation. Technology, Integration, and Operations Conference.

Sheppard, J. K., McGann, A., Lanzone, M., & Swaisgood, R. R. (2015). An autonomous GPS geofence alert system to curtail avian fatalities at wind farms. Animal Biotelemetry, 3(1), 43.

M, Yassin & E, Rachid. (2015). A survey of positioning techniques and location based services in wireless networks. 2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems, SPICES 2015, 1-5. doi: 10.1109/SPICES.2015.7091420.

Adusei, I,K., Kyamakya, K., Jobmann, K. (2002). Mobile positioning technologies in cellular networks: an evaluation of their performance metrics, InMILCOM 2002, 1239-1244.

IÃ…Å¸Ã„Â±k, M. F., SÃƒÂ¶nmez, Y., YÃ„Â±lmaz, C., Ãƒâ€“zdemir, V., & YÃ„Â±lmaz, E. N. (2017). Precision irrigation system (PIS) using sensor network technology integrated with IOS/Android application. Applied Sciences, 7(9), 891.

Banumathi, P., Saravanan, D., Sathiyapriya, M., & Saranya, V. (2017). An android based automatic irrigation system using bayesian network with SMS and voice alert. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2(2), 573-578.

Ishak, S. N., Abd Malik, N. N. N., Latiff, N. A., Ghazali, N. E., & Baharudin, M. A. (2017, November). Smart home garden irrigation system using Raspberry Pi. In 2017 IEEE 13th Malaysia International Conference on Communications (MICC) (pp. 101-106). IEEE.

Ohyver, M., Moniaga, J. V., Sungkawa, I., Subagyo, B. E., & Chandra, I. A. (2019). The Comparison Firebase Realtime Database and MySQL Database Performance using Wilcoxon Signed-Rank Test. Procedia Computer Science, 157, 396-405.

Rezoug, M. R., Chenni, R., & Taibi, D. (2019). A New Approach for Optimizing Management of a Real Time Solar Charger Using the Firebase Platform Under Android. Journal of Low Power Electronics and Applications, 9(3), 23.

Sudiartha, I. K. G., Indrayana, I. N. E., Suasnawa, I. W., Asri, S. A., & Sunu, P. W. (2020, July). Data Structure Comparison Between MySql Relational Database and Firebase Database NoSql on Mobile Based Tourist Tracking Application. In Journal of Physics: Conference Series (Vol. 1569, No. 3, p. 032092). IOP Publishing.