Perancangan Sistem Perhitungan Debit Air Otomatis Berbasis Internet of Things pada PDM Tirta Garut
The service process in calculating water discharge for PDAM customers is still using conventional water meters as a result, the process of delivering information cannot be optimally accepted by various related parties and often the process that occurs requires officers to directly visit the customer's place then automatically manually recorded, the results from conventional meters and are often wrong in recording and calculating, of course this requires a solution. This research was carried out with the aim of changing the current conventional water discharge calculation system to be automatic using a Microcontroller and based on IoT as a solution that can be done from the current problems for calculating water discharge. The design method used is the Prototype Model from Sommerville, with Listen to Customer stages / listen to complaints for system needs, Build / Revise mock-ups to design and create systems and Customer test drive mock-ups to test the system that has been made and use Unifed modeling. Modeling Language for system representation in an easy-to-understand picture. This research produces tools and applications that can calculate water discharge automatically with integrated data using Internet of Things technology, apart from that, web application media are designed to provide information to customers and companies regarding the amount of usage along with the amount of bills charged to customers. customer. who can provide solutions to problems in PDAM Tirta Garut.
R. Risna and H. A. Pradana, “Rancang Bangun Aplikasi Monitoring Penggunaan Air PDAM Berbasis Mikrokontroler Arduino Uno,” J. Sisfokom (Sistem Inf. dan Komputer), vol. 3, no. 1, p. 60, Mar. 2014, doi: 10.32736/sisfokom.v3i1.212.
D. A. Gunastuti, “Pengukuran Debit Air Pelanggan Air Bersih Berbasis IoT Menggunakan Raspberry Pi,” Epic (Journal Electr. Power, Instrum. Control., vol. 1, no. 2, pp. 167–175, Jul. 2018, doi: 10.32493/EPIC.V1I2.1528.
S. Madakam, R. Ramaswamy, and S. Tripathi, “Internet of Things (IoT): A Literature Review,” J. Comput. Commun., vol. 03, no. 05, pp. 164–173, 2015, doi: 10.4236/jcc.2015.35021.
P. P. Ray and N. Thapa, “A systematic review on real-time automated measurement of IV fluid level: Status and challenges,” Measurement: Journal of the International Measurement Confederation, vol. 129. Elsevier B.V., pp. 343–348, Dec. 01, 2018, doi: 10.1016/j.measurement.2018.07.046.
J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami, “Internet of Things (IoT): A vision, architectural elements, and future directions,” Futur. Gener. Comput. Syst., vol. 29, no. 7, pp. 1645–1660, Sep. 2013, doi: 10.1016/j.future.2013.01.010.
I. Lee and K. Lee, “The Internet of Things (IoT): Applications, investments, and challenges for enterprises,” Bus. Horiz., vol. 58, no. 4, pp. 431–440, Jul. 2015, doi: 10.1016/j.bushor.2015.03.008.
R. I. S. Pereira, I. M. Dupont, P. C. M. Carvalho, and S. C. S. Jucá, “IoT embedded linux system based on Raspberry Pi applied to real-time cloud monitoring of a decentralized photovoltaic plant,” Meas. J. Int. Meas. Confed., vol. 114, pp. 286–297, Jan. 2018, doi: 10.1016/j.measurement.2017.09.033.
T. Malche and P. Maheshwary, “Internet of Things (IoT) based water level monitoring system for smart village,” in Advances in Intelligent Systems and Computing, 2017, vol. 508, pp. 305–312, doi: 10.1007/978-981-10-2750-5_32.
N. Suresh, E. Balaji, K. J. Anto, and J. Jenith, “RASPBERRY PI BASED LIQUID FLOW MONITORING AND CONTROL.” Accessed: Aug. 29, 2020. [Online]. Available: http://www.ijret.org.
Y. J. Wang and Z. G. Liu, “GPRS based river water level monitoring and measuring system,” in Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017, Jul. 2017, pp. 6034–6036, doi: 10.1109/CCDC.2017.7978251.
P. Megantoro, A. Widjanarko, R. Rahim, K. Kunal, and A. Z. Arfianto, “The Design of Digital Liquid Density Meter Based on Arduino,” J. Robot. Control, vol. 1, no. 1, pp. 1–6, Dec. 2020, doi: 10.18196/jrc.1101.
S. Li, & Li, D. Xu, and S. Zhao, “The internet of things: a survey,” doi: 10.1007/s10796-014-9492-7.
R. Jayanthi and S. T. Rama, “IOT Based Smart Energy Tracking System ,” Int. J. MC Sq. Sci. Res., vol. 9, no. 1, pp. 98–108, 2017, doi: 10.20894/ijmsr.117.009.001.012.
Q. Zhu, R. Wang, Q. Chen, Y. Liu, and W. Qin, “IOT gateway: Bridging wireless sensor networks into Internet of Things,” in Proceedings - IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2010, 2010, pp. 347–352, doi: 10.1109/EUC.2010.58.
N. Agrawal and S. Singhal, “Smart drip irrigation system using raspberry pi and arduino,” in International Conference on Computing, Communication and Automation, ICCCA 2015, Jul. 2015, pp. 928–932, doi: 10.1109/CCAA.2015.7148526.
P. Singh and S. Saikia, “Arduino-based smart irrigation using water flow sensor, soil moisture sensor, temperature sensor and ESP8266 WiFi module,” Apr. 2017, doi: 10.1109/R10-HTC.2016.7906792.
R. Rohimah and A. Deddy Supriatna, “Pengembangan Aplikasi Daftar Keluhan Pelanggan Internet di PT. Rahajasa Media Internet (Cabang Garut),” J. Algoritm., vol. 12, no. 1, pp. 21–30, Aug. 2015, doi: 10.33364/algoritma/v.12-1.21.
R. Patel, H. Pungalia, and S. Mahajan, “Flow Meter and Arduino Based Fuel Gauge for Automotive Vehicles,” IOSR J. Mech. Civ. Eng. e-ISSN, vol. 13, no. 5, pp. 85–92, doi: 10.9790/1684-1305078592.
W. Utomo, W. A. Utomo, A. Nugroho, and M. Nugroho, “Alat Pengukur Debit Air dan Harga Menggunakan Mikrokontroler Arduino Uno Berbasis IoT,” Go Infotech J. Ilm. STMIK AUB, vol. 27, no. 1, p. HAL. 25-32, Aug. 2021, doi: 10.36309/goi.v27i1.141.