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

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.

Authors

Institutions

Publication Details

Journal
Jurnal Ilmiah Universitas Batanghari Jambi
Published
2024-10-27
DOI
https://doi.org/10.33087/jiubj.v24i3.5598
Primary Topic
Marine and Coastal Ecosystems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Muhammad Zaki Raihansyah, Sufadi Alim, V. Karocelli Leo Priyantama, Diva Dinanti Febrianti et al.
Jurnal Ilmiah Universitas Batanghari Jambi
Marine and Coastal Ecosystems
article

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

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

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.

Jurnal Ilmiah Universitas Batanghari JambiVol. 24(3)
State University of Semarang (ID), Universitas Negeri Surabaya (ID), Robotic Research (United States) (US)
Life below water
Openalex Percentile: Top 80%
Marine and Coastal Ecosystems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.