PERANCANGAN SISTEM KERAMBA JARING APUNG (KJA) AUTONOMOUS PADA BUDIDAYA PERIKANAN BERBASIS FUZZY LOGIC

PRAMANA, ROZEFF and Nawawi, Zainuddin and Suprapto, Bhakti Yudho (2024) PERANCANGAN SISTEM KERAMBA JARING APUNG (KJA) AUTONOMOUS PADA BUDIDAYA PERIKANAN BERBASIS FUZZY LOGIC. Doctoral thesis, Sriwijaya University.

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Abstract

The decreasing production of captured fish makes the production of cultivated fish a promising prospect. Along with increasing population growth, global fish production is projected to increase to 187 million tonnes in 2030, and 62% of this is from aquaculture production. Floating Net Cages (FNC) is a method of raising cultivated fish that is widely applied traditionally. FNC can be used in lakes, reservoirs, rivers and even at sea. The main factors that need to be considered when cultivating using FNC are water quality, environmental conditions and weather conditions around the waters where the FNC is located. Good or bad water quality in traditional marine cages is determined by looking at the color of the water, the condition of the fish and the fishermen's instincts. If there is death of farmed fish or bad weather conditions, the cultivator will move the FNC manually, namely towing it using a motorboat. This research designs an Autonomous FNC system that moves automatically to respond to waters with poor water quality and monitors FNC remotely. The FNC system consists of a water quality sensor system, an autonomous control system and a monitoring system. The aim of this research is to develop an Autonomous FNC control system to avoid poor water quality in waters and provide easy monitoring of water quality and conditions around the FNC effectively and efficiently. The FNC switches automatically if the water quality exceeds the set point threshold that has been programmed on the Arduino. The set point is determined from the standard values of temperature, Dissolved Oxygen and pH parameters for water quality for fish farming. Sensors consist of temperature, DO, pH, TDS, EC, turbidity, anemometer, wind direction sensors, voltage sensors and cameras for visual monitoring of the FNC surface and in the water. The control system method developed is based on Fuzzy Logic Type-1. The FNC monitoring system allows the water quality and visual conditions around the FNC to be monitored in real time remotely using internet-based applications. It is hoped that this research can reduce risks and minimize material losses due to changes in water quality and bad weather that occur in fish cultivation businesses using FNC. Keywords: Autonomous FNC system, Floating Cages Technology, Fuzzy Logic Type-1, Water quality, Remote monitoring.

Item Type:	Thesis (Doctoral)
Uncontrolled Keywords:	Autonomous FNC system, Floating Cages Technology, Fuzzy Logic Type-1, Water quality, Remote monitoring.
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering > TK1 Electrical engineering--Periodicals. Automatic control--Periodicals. Computer science--Periodicals. Information technology--Periodicals. Automatic control. Computer science. Electrical engineering. Information technology.
Divisions:	03-Faculty of Engineering > 21001-Engineering Science (S3)
Depositing User:	Rozeff Pramana
Date Deposited:	28 Jan 2024 06:46
Last Modified:	28 Jan 2024 06:46
URI:	http://repository.unsri.ac.id/id/eprint/139982

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