Perancangan Purwarupa Penghitungan Ketinggian Air Sungai Berbiaya Rendah

Authors

  • Aniessa Rinny Asnaning Politeknik Negeri Lampung / Jurusan Teknologi Pertanian
  • Septafiansyah Dwi Putra Politeknik Negeri Lampung / Jurusan Ekonomi dan Bisnis

DOI:

https://doi.org/10.25181/prosemnas.v0i0.719

Abstract

The process of managing the water gate periodically is to monitor the water level by the officers manually. This  water level is  monitored  manually  and  manually  recalled. Thismethod is certainly not effective, given the risk of data that is monitored is not accurate and can be lost if manually direkap. Because disaster warnings should be done quickly and responsively. Generally the measurements performed by the water supply personnel requireconsiderable time. The development of Internet of Things (IoT), which continues to increase in both scale and its application gives solution opportunities to anticipate the problem. Theresearcher's approach approach is to design realtime water level monitoring and record it automatically into the system. This paper presents models and prototypes of real time level water  level  monitoring  on  a  conventional  water  gate  system.  This  research  is  amultidisciplinary of information system science and water resource management science. Test results show that low cost devices are capable of having errors of 0.65% and lowerprocessing time of 92.7% compared to conventional data processing. Keywords : Flood, Water Managment, IoTTheprocessofmanaging thewatergateperiodically is to monitor the water levelby the officers manually. This  waterlevelis  monitored  manually  and  manually  recalled. Thismethodiscertainlynoteffective,giventheriskofdata thatismonitoredisnotaccurateand canbe lost ifmanually direkap. Because disasterwarningsshouldbe done quickly and responsively.Generallythemeasurementsperformedbythewatersupplypersonnelrequireconsiderabletime.ThedevelopmentofInternetofThings(IoT),whichcontinuestoincrease inbothscaleanditsapplicationgivessolutionopportunitiestoanticipatetheproblem.Theresearcher'sapproach approach is todesignrealtime water levelmonitoringandrecord it automatically into thesystem.Thispaperpresentsmodelsandprototypesofrealtime level water  level  monitoring  on  a  conventional  water  gate  system.  This  research  is  amultidisciplinaryofinformationsystemscienceandwaterresourcemanagementscience. Testresultsshowthatlowcostdevicesarecapableofhavingerrorsof0.65%andlowerprocessing time of92.7%comparedto conventionaldata processing. Keywords: Flood,WaterManagment,IoT

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References

Cole, R., Purao, S., Rossi, M., & Sein, M. K. (2005). Being Proactive: Where Action Research meets Design Research. Finland: Helsinki School of Economics.

Arvindan, A. N., & Keerthika, D. (2016, March). Experimental investigation of remote control via

Android smart phone of arduino-based automated irrigation system using moisture sensor. 2016 3rd International Conference on Electrical Energy Systems (ICEES), (pp. 168-175). doi:10.1109/ICEES.2016.7510636

Gangopadhyay, S., & Mondal, M. K. (2016, Jan). A wireless framework for environmental monitoring and instant response alert. 2016 International Conference on Microelectronics, Computing and Communications (MicroCom), (pp. 1-6). doi:10.1109/MicroCom.2016.7522535

Gunawan, T. S., Kartiwi, M., Suhaimi, N. H., & Bakar, R. A. (2013, Dec). Development of Portable

Charger for Mobile Phone Using Arduino Microcontroller during Disaster Recovery. 2013 International Conference on Advanced Computer Science Applications and Technologies, (pp. 218-222). doi:10.1109/ACSAT.2013.50

Intharasombat, O., & Khoenkaw, P. (2015, Oct). A low-cost flash flood monitoring system. 2015

th International Conference on Information Technology and Electrical Engineerin (ICITEE), (pp. 476-479). doi:10.1109/ICITEED.2015.7408993

Islam, M. A., Islam, T., Syrus, M. A., & Ahmed, N. (2014, May). Implementation of flash flood monitoring system based on wireless sensor network in Bangladesh. 2014 International Conference on Informatics, Electronics Vision (ICIEV), (pp. 1-6). doi:10.1109/ICIEV.2014.6850752

Lapan. (2012, Juni 1). http://repository.lapan.go.id/repository/1713-1741-1-SM.pdf. Retrieved from

Repository Lapan: http://repository.lapan.go.id/repository/1713-1741-1-SM.pdf

UNISDR. (n.d.). https://www.unisdr.org/we/inform/disaster-statistics. Retrieved from https://www.unisdr.org/we/inform/disaster-statistics: UNISDR

Published

2018-02-14

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