Immersea: Sistem Monitoring Terpadu Kondisi Air Penunjang Budidaya Rumput Laut Berbasis Internet of Thing dan Artificial Intelligence Secara Real Time

Raihansyah, Muhammad Zaki
Alim, Sufadi
Priyantama, V. Karocelli Leo
Febrianti, Diva Dinanti
Manggala, Yossie Rendy Tegar
Putra, Hamdana

Jurnal Ilmiah Universitas Batanghari Jambi
Vol 24, No 3 (2024): Oktober

This research aims to help seaweed farmers optimize seaweed cultivation in Indonesia, by using a tool called Immersea based on the Internet of Things and Artificial Intelligence, farmers can monitor water quality conditions in real-time via smartphone and get additional references for appropriate action. water conditions. The research method used is a combination of descriptive and experimental methods with experiments on a prototype scale. Tests were carried out in seaweed ponds in Jabon District, Sidoarjo. The research results found that sensor readings can be observed on a smartphone application in real-time with a data transmission speed of 30 seconds/data, and data transmission for tool direction control is ±35 seconds/data.