DESIGN AND IMPLEMENTATION OF IDENTIFICATION SUBSYSTEM FOR DISEASE DNA DETECTION SYSTEM BASED ON QUANTITATIVE POLYMERASE CHAIN REACTION TECHNOLOGY

• Main Author: Aerasda, Hadim
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/79560
• Institution: Institut Teknologi Bandung

Shrimp is one of the popular aquatic organisms raised and included under the category of fishery ponds, which is one of the national priority activities that is being pursued to increase its production to 10.32 million tons in 2024. Shrimp, which is one of the invertebrate organisms and has a primitive immune system, is very susceptible to diseases and the spread of diseases due to viruses is very fast and causes huge losses for shrimp farmers. The common checking process currently carried out is through conventional polymerase chain reaction (PCR) tests in laboratories, so the detection of diseases in shrimp before the discovery of clinical symptoms takes a long time, whereas detection must be done as early as possible so that shrimp infected with diseases can be immediately separated and destroyed to prevent wider disease spread, thus minimizing losses. In this final project, a system is developed in the form of a device that can detect white-spot syndrome virus (WSSV) disease by utilizing quantitative polymerase chain reaction (qPCR) technology. The system that is created is expected to have portable characteristics so that it can be taken anywhere, including to shrimp ponds. The system is expected to have an easy-to-use interface and can operate in areas where the reliability of the power source is still low. This final project book specifically discusses the design, implementation, and testing process of one of the subsystems of the overall system that is created, namely the identification subsystem. This subsystem’s main function is to carry out the identification process on samples in the form of deoxyribonucleic acid (DNA) substrates processed using the qPCR method, which consists of denaturation, annealing, and extension processes. The output of this subsystem is in the form of qPCR result information, which consists of DNA identification results and identification curve results. The parts worked on in this subsystem include the lighting scheme carried out on the sample, the acquisition process of light emission waves from the substrate, and the identification algorithm.