Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : EPI International Journal of Engineering

Design of Water Quality Monitoring System for Crab Larvae using IOT Wahyudi Sofyan; Muhammad Niswar; Andani Achmad
EPI International Journal of Engineering Vol 3 No 1 (2020): Volume 3 Number 1, February 2020
Publisher : Center of Techonolgy (COT), Engineering Faculty, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25042/epi-ije.022020.07

Abstract

Abstract Water quality is one of the determining factors in maintaining survival and growth of crab larvae, therefore we need a tool that can monitor water quality which includes temperature parameters, pH and salinity in real time and online in crab larva culture. This system consists of several sensor nodes with the main component being Arduino Uno which is connected by several sensor nodes as a publisher and Raspberry Pi 3 (RPi3) board as a broker. Data from each sensor node will be sent to brokers with different topics - and stored to a database using a wireless network. The application system used with the MQTT (Message Queue Telemetry Transport) protocol uses a red node. Red node will display data of each sensor node in the form of gauge and graph. In this study a water quality monitoring system was designed and developed. This tool uses the MQTT (Message Queue Telemetry Transport) protocol to display sensor node data in real time.
Crab Larvae Counter Using Image Processing Furqan Zakiyabarsi; Muhammad Niswar; Zahir Zainuddin
EPI International Journal of Engineering Vol 2 No 2 (2019): Volume 2 Number 2, August 2019 with Special Issue on Natural Disaster and Mitigat
Publisher : Center of Techonolgy (COT), Engineering Faculty, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25042/epi-ije.082019.06

Abstract

Very small larval size, high mortality rate of crab larvae, the absence of an accurate crab larva counter at affordable price, the density of larvae that are not known accurately, the ratio of feed that not in accordance with the number of larvae to damage water quality and cannibalism, water quality can not be adjusted to the density of distribution, and economically unprofitable both in terms of feed efficiency and buying and selling transactions. By knowing the number of crab larvae accurately the survival rate of crab larvae increases and is economically beneficial. In this study larvae counters were designed and developed. This tool uses digital imagery to detect and count the crab larvae zoea-1 phase. The accuracy of crab larva counter is 89,8%.