Smart monitoring apps for salvaging neolissochillus thienemanni sumateranus (batak heritage) from extinction

Abstract

Ihan or Ikan Batak (Neolissochillus thienemanni sumateranus), the heritage of Batak tribe, is considered as vulnerable species of freshwater fish in Indonesia, especially at Lake Toba. This study aims to introduce SMAFIB application that is environment-friendly and helps the salvage of the fish from extinction. An application is built based on Django framework using Phyton programming language, which interacts with Raspberry pi through the internet to monitor the fish breeding and carries out all operations needed for fish conservation. A 14-day-experiment was carried out on 15 Ihan seed in a tailored aquarium equipped with the smart application. After two weeks, the result indicated that the success rate of breeding the endangered species using this system was 100% where all the fish put were survived. The implementation of the embedded system which is realized through mobile application has been successful in breeding the endangered species by considering and monitoring the essential aspects such as pH, temperature, feeding, water condition, and health risks. Time efficiency and yields are getting increased which reflect the increase in the economy for the farmers. SMAFIB application increases the efficiency of feeding time, monitoring time, and helps the salvage of the species in order to restore the custom and tradition of the Batak community as well as helps the improvement of the farmers' income without endangering the environment.