IoT-Based Technological Innovation in Improving the Productivity of Macan Kumbang Fish Cultivator

Abstract

The fishery sector is one of the main commodities in South Sumatra because fish consumption in South Sumatra is relatively high due to the many processed snacks made with fish. Based on BPS data, fish commodity is one of the contributors to 0.27% of increasing inflation in South Sumatra. This is an opportunity also a challenge for all stakeholders in an effort to fulfill the market needs especially in fishery sector to reduce the inflation rate, including the readiness of fish cultivators to increase the effectiveness of fishery production. One of the fish cultivators in South Sumatra is the “Macan Kumbang” Fish Cultivator Group that located in Palembang. Based on initial observations, the problems were irregular feeding, unmeasured water quality, has not utilizing fish waste and has not measuring the prediction return on investment. This group has a strong desire to carry out cultivation using IoT-based technology. The objectives of the study is to find out how much IoT technology is applied in fish farming and find out the problems and opportunities to produce Applied Technology (TTG) in fish farming with IoT technology. Research Method using prototyping methodology and system development life cycle in software development aspect. The limitation of technology developed integrates microcontroller and sensor with 3 subsystems, those are: (1) Automatic fish feeding, (2) Quality Control and Water Drainage, (3) Prediction of Return on Investment. The data read by the sensor is uploaded into a cloud database that can be accessed via a gadget, so that users can directly control feeding, see water quality and predict returns on investment. The stages of system development are divided into 2 aspects, namely Software Development and Microcontroler Hardware Development. The results of the implementation of the tool for fish cultivators found an increase in production output of 45% with an average effectiveness in terms of costs and production yields with an average value of 25%