Adi Wirawan’s research while affiliated with Badan Standardisasi Nasional and other places

The sudden vaname shrimp death factors are overfeeding, disease infection, failure to mount, shrimp stress, and high rainfall, which cause potential changes in water pH that trigger anxiety in shrimp. The next factor is turbid or dirty water. Other factors include insufficient oxygen content in the water. Therefore, to overcome these issues, a sensor that explicitly handles water conditions is needed. The system built in this research still has two stages, namely real-time monitoring and automatic actuators, which are still being developed. The sensor is placed in water in a floating condition with specific materials so that it is impossible to sink. Some tested sensors include salinity, water pH, turbidity, and dissolved oxygen sensors. Its wireless telecommunication system uses LoRa with frequencies of 920–923 MHz. It uses an 8-dBi omnidirectional antenna with a Dragino LoRa RFM96 Module chip. This system provides real-time data on the entire environment needed for shrimp to survive. The development after this is focused on the actuator, namely how to turn on the Blower automatically for the needs of dissolved oxygen for vaname shrimp. The results shown from the experiment are real-time data from all sensors for brackish water quality measurements running normally; the data are displayed on the application server in real time using the Tago.io app that has been connected to LoRaWAN and LoRa Module, namely Dragino LoRa 915 MHz found on the end devices. The sensors installed in the brackish water environment were calibrated to produce specific and accurate data.

Shrimp farming requires a touch that must be right on the side of water quality; water is a fundamental factor that must be met to achieve maximum yields. Many factors affect the quality of the water, but some things cause changes in water quality caused by external and internal factors causing death in shrimp. Disease conditions in shrimp can attack at any time, coupled with external factors such as extreme climate change, and cause changes in water components such as water pH, CaMg or hardness, and other factors that cause death in shrimp. Water turbidity oxygen demand (DO) in water determines the life of shrimp. It is coupled with microorganisms that must be maintained to maintain water quality for the growth of a Vaname shrimp. This research raises the Aquaculture System, specifically in the process of intelligent monitoring of water quality in shrimp nurseries to the shrimp harvest process, especially vaname shrimp from the results of observations use three sensors connected to LoRaWAN is able to provide real-time data from pond water and transmit it to LoRa Server or Internet Server, and the realtime data can be read through a Smartphone. This research analyzes in detail the ability of LoRaWAN to send multi-sensor data and Quality of Service LoRaWAN communication at different distances. This research also discusses how the LoRa antenna design can be developed to improve the performance of LoRa as transmitting devices or Radio Frequency 920-923 MHz for sending sensor data for Aquaculture. The contribution of this research is shown in the real-time monitoring system of the water environment, namely water pH, ammonia, turbidity, DO, salinity, water temperature, and nitrate in vaname shrimp ponds. The following contribution is the development of LoRaWAN with Tago IO servers capable of being used in Smart Aquaculture for contributions to The Things Network community or LoRaWAN Community.

A telecommunication system must minimize collisions, especially in LoRaWAN networks. This system will analyze the Quality of Service of LoRa and LoRaWAN communication systems within the scope of end nodes constantly moving freely. Therefore, the resulting throughput and packet loss cannot be predicted, and an appropriate method is needed to overcome this by using Blind Adaptive Data Rate (ADR). Adaptive Data Rate in this research will be developed into Blind Adaptive Data Rate due to the Mobile Node condition factor. ADR is a mechanism that allows LoRa networks to save battery power or sensor nodes and become stable data transmission without much packet loss (bytes). It can also dynamically adjust the data transmission rate (DR). The development of Blind-ADR is the unpredictable node mobility factor, thus affecting the data rate (DR). This mechanism decreases collisions in LoRaWAN, meaning that telecommunications' effectiveness (%) increases in data rate (bytes). ADR can increase the data rate by 20-30% and reduce airtime by 20-30%, while Blind ADR can increase the data rate by 10-20% and reduce airtime by 10-20%. Keywords— blind ADR, mobility node, packet loss, Quality of Service, LoRa node communication