Article Per Year (5 Year)
p-Index From 2021 - 2026
1.633
P-Index
This Author published in this journals
All Journal JURNAL ELEKTRO Rang Teknik Journal Jurnal Ilmiah Realtech Jurnal Teknik Industri Terintegrasi (JUTIN) Jurnal Tunas Journal of Electrical Engineering and Computer (JEECOM)
Singgeta, Ryan Laksmana
Program Studi Teknik Elektro, Fakultas Teknik, Universitas Katolik De La Salle Manado
Arts Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering Other

Published : 11 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 11 Documents
Search

 1   2 
Development Of An IoT-Based Irrigation Water Quality Monitoring System Using The CCME WQI Method for Agricultural Modernization Brigitha Raco; Ryan Laksmana Singgeta; Eirene Korobu
Journal of Electrical Engineering and Computer (JEECOM) Vol 8, No 1 (2026)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v8i1.13750

Abstract

The degradation of irrigation water quality presents a critical challenge for sustainable agriculture, particularly under increasing hydrometeorological pressure. This study developed an Internet of Things (IoT)–based monitoring system and applied the Canadian Council of Ministers of the Environment Water Quality Index (CCME WQI) to evaluate temporal variations in irrigation water quality.The system integrates pH, water temperature, total dissolved solids (TDS), and turbidity sensors with an ESP32 microcontroller, enabling real-time data transmission to a cloud-based platform. Water quality assessment was conducted from August to December using CCME WQI, with objectives defined based on national regulations and internationally recognized guidelines.The results reveal a progressive decline in irrigation water quality throughout the monitoring period. CCME WQI values decreased from 70.24 (Fair) in August to 32.28 (Poor) in December, indicating increasing frequency and severity of guideline exceedances. Turbidity was identified as the dominant contributor to water quality degradation, particularly during rainfall events, followed by episodic pH reductions and diurnal temperature variability. In contrast, TDS remained stable and consistently below threshold values.The integration of high-resolution IoT monitoring with the CCME WQI framework provides a reliable and objective approach for continuous irrigation water quality assessment. This method effectively captures temporal dynamics and supports early identification of critical degradation periods, offering a practical basis for adaptive irrigation water management.
Co-Authors Brigitha Raco, Brigitha Chrysantus M. M. Padachan Eirene Korobu Ignatia Rosali Honandar Julie C Rante Koyongian, Randi Padachan, Chrysantus M.M. Pinrolinvic D. K. Manembu Pinrolinvic D. K. Manembu Pinrolinvic D.K. Manembu Pinrolinvic Manembu Rachmadi, Ronald Albert Rante, Julie Cynthia Raton, Yulius Christian Refsi G. Sangkay Ronaldo Ferdy Ignatius Rottie Rumondor, Refliano Swensy Wales Tumewu, Tryadi Wilhelmus