TY - GEN
T1 - Prototype Design of IoT Water Turbidity Sensor-Based For Freshwater Fisheries
AU - Fauzan 'Adziimaa, Ahmad
AU - Arta, Gressia Rindang
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - The turbidity of the water is caused by the accumulation of organic matter which causes toxic gases as well as a nesting place for vibrio which is detrimental to fish. Decree of the Minister of Fisheries and Marine Affairs No. KEP.28/MEN/2004 sets the standard for turbidity of water for shrimp farming in ponds 50 NTU. However, pond farmers still use their instinct to purify pond water without using a valid and standard measuring instrument. Trends in measurement and monitoring that initially only focused on local areas such as conventional turbidimetry and nephelometry, can be updated with superiority through easy user access anywhere and anytime. Therefore, a prototype of an IoT -based water turbidity sensor was initiated using the Blynk server as cloud storage and the Blynk app as an interface for users. This study also compares the performance of various pairs between transmitter components in the form of UV LED and white LED-phototransistors, photoresistors, and photodiodes as receivers so that six pairs of components are produced as water turbidity sensors. The results showed that measuring the turbidity of Vannamei pond water by pairing the transmitter-receiver with UV LED-photo diode was the closest to the Lutron TU-2016 validator with an error of 2.32 NTU, repeatability 0.98, accuracy 93.63%, and precision ±0.65.
AB - The turbidity of the water is caused by the accumulation of organic matter which causes toxic gases as well as a nesting place for vibrio which is detrimental to fish. Decree of the Minister of Fisheries and Marine Affairs No. KEP.28/MEN/2004 sets the standard for turbidity of water for shrimp farming in ponds 50 NTU. However, pond farmers still use their instinct to purify pond water without using a valid and standard measuring instrument. Trends in measurement and monitoring that initially only focused on local areas such as conventional turbidimetry and nephelometry, can be updated with superiority through easy user access anywhere and anytime. Therefore, a prototype of an IoT -based water turbidity sensor was initiated using the Blynk server as cloud storage and the Blynk app as an interface for users. This study also compares the performance of various pairs between transmitter components in the form of UV LED and white LED-phototransistors, photoresistors, and photodiodes as receivers so that six pairs of components are produced as water turbidity sensors. The results showed that measuring the turbidity of Vannamei pond water by pairing the transmitter-receiver with UV LED-photo diode was the closest to the Lutron TU-2016 validator with an error of 2.32 NTU, repeatability 0.98, accuracy 93.63%, and precision ±0.65.
KW - Monitoring of water turbidity measurement system
KW - Static characteristics of measurement
KW - Water turbidity sensor
UR - http://www.scopus.com/inward/record.url?scp=85135026524&partnerID=8YFLogxK
U2 - 10.1109/ICAMIMIA54022.2021.9807688
DO - 10.1109/ICAMIMIA54022.2021.9807688
M3 - Conference contribution
AN - SCOPUS:85135026524
T3 - 2021 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2021 - Proceeding
SP - 108
EP - 113
BT - 2021 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2021 - Proceeding
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2021
Y2 - 8 December 2021 through 9 December 2021
ER -