Immersea: Sistem Monitoring Terpadu Kondisi Air Penunjang Budidaya Rumput Laut Berbasis Internet of Thing dan Artificial Intelligence Secara Real Time
Year: 2024
Type: article
Abstract: 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.
Institution: Politeknik Perkapalan Negeri Surabaya
Language: English
Subfield: Water Science and Technology
Field: Environmental Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4404017277