Article Sidebar

Submitted
11 October 2021
Accepted
30 November 2021
Published
30 November 2021
Download
PDF (Bahasa Indonesia)
Statistic
Read Counter : 1369 Download : 1707

Downloads

Download data is not yet available.

Main Article Content

Abstract

Water is one of the most important sources of life. One way to save water is by monitoring the flow of water consumed per month. The flow rate measurement is applied to every household that uses the PDAM, so that each house is installed a water meter, which is used to measure or record the volume of water that has been used for each household’s needs. The measurement of the volume of water contained in the water meter is used to determine the number of tariffs that must be paid by each household to the PDAM every month of use. In this research, a system is made that can monitor the quality and use of PDAM water. In this system, a turbidity sensor is used which will measure the level of water turbidity in NTU units. This NTU value will show the quality of PDAM water whether it is suitable for use in daily needs or not. The water flow sensor will be installed in the middle of the PDAM pipe, the water flow data measured on the sensor will be processed on the Arduino Uno module to be converted into data for the estimated cost of using PDAM water. Furthermore, all data will be displayed on the LCD, namely data on the level of water turbidity, data on the amount of water discharge and the estimated cost to be paid by the customer. All data will be sent to the blynk server via ESP32 Camera. The data stored on the server can be accessed using the blynk application on a smartphone. In addition, the data will also be stored on the SD Card as a data backup. The results of the turbidity sensor readings show a water turbidity value of 5 NTU. The error value of the water flow sensor readings is 1.6%, which means the accuracy rate is 98.4%. While the data from the reading of the PDAM water usage costing system has no errors so that the data accuracy reaches 100%.

Keywords

PDAM, monitoring, sensor, ESP32 camera PDAM Monitoring Sensor ESP32 Camera

Article Details

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

How to Cite
Widiasari, C., & Zulkarnain, L. A. (2021). Rancang Bangun Sistem Monitoring Penggunaan Air PDAM Berbasis IoT. Jurnal Komputer Terapan, 7(2), 153–162. https://doi.org/10.35143/jkt.v7i2.5152
Download Citation
Endnote/Zotero/Mendeley (RIS)
BibTeX

References

  1. Budijanto, A., & Widjanarko, B. (2018). Sistem Monitoring Penggunaan air PDAM pada Rumah Tangga Menggunakan Mikrokontroler NODEMCU berbasis Smartphone ANDROID. Jurnal IPTEK, 51 – 58.
  2. Hendry Setiawan, Hendry Setiawan, & Kielvien Lourensius Eka S. P. (2017). Rancang Bangun Prototipe Sistem Kontrol Penggunaan Air Prabayar. Journal of Chemical Information and Modeling, 8(9), 1–58.
  3. Kautsar, M., Isnanto, R. R., & Widianto, E. D. (2016). Sistem Monitoring Digital Penggunaan dan Kualitas Kekeruhan Air PDAM Berbasis Mikrokontroler ATMega328 Menggunakan Sensor Aliran Air dan Sensor Fotodiode. Jurnal Teknologi Dan Sistem Komputer, 3(1), 79–86.
  4. Khair, F. (2015). Sistem Jaringan Computer Based Test. Jurnal Ilmiah Teknologi Informasi, IV(3), 62–66.
  5. Noor, A., Supriyanto, A., & Rhomadhona, H. (2019). Aplikasi Pendeteksi Kualitas Air Menggunakan Turbidity Sensor Dan Arduino Berbasis Web Mobile. Corel IT, 5(1), 13–18.
  6. Putra, Y. R., Triyanto, D., & Suhardi. (2017). Rancang Bangun Perangkat Monitoring Dan Pengaturan Penggunaan Air Pdam ( Perusahaan Daerah Air Minum ) Berbasis Arduino Dengan Antarmuka Website. Jurnal Coding Sistem Komputer Untan ISSN : 2338-493X, 05(1), 33–34.
  7. Risna, R., & Pradana, H. A. (2014). Rancang Bangun Aplikasi Monitoring Penggunaan Air PDAM Berbasis Mikrokontroler Arduino Uno. Jurnal Sisfokom (Sistem Informasi Dan Komputer), 3(1), 60.
  8. Wicaksono, M. F., & Rahmatya, M. D. (2020). Implementasi Arduino dan ESP32 CAM untuk Smart Home. Jurnal Teknologi Dan Informasi (JATI), 10(1), 52–61.
  9. Yulita Fatma Andriani, M.Fajrian Noor, A. S. S. dan dkk. (2019). Internet Of Things (Iot) – Tantangan Dan Keamanan Iot Menggunakan Enkripsi Aes. Jurnal INFORMA Politeknik Indonusa Surakarta, 5(1), 76–83.