Design and development of virtual digital assistant for fishers with fish distribution based on lora RFM95 communication

The waters region in Indonesia are immense and have a tremendous potential natural resource for marine businesses, especially fisheries. Many Indonesians, especially those living in coastal areas, make fishing their source of livelihood. Currently, the technology that is commonly used to support the...

Full description

Saved in:
Bibliographic Details
Main Authors: Subiyanto, Lilik, Arfianto, Afif Zuhri, Virgiani, Shania, Riananda, D. P., Santoso, T. B., Gunantara, N., Supriyanto, Eko, Nofandi, Faris
Format: Conference Proceeding
Language:English
Subjects:
Artificial intelligence
Coastal zone
Communication
Fish
Fisheries
Marine resources
Natural resources
Obstructions
Portable equipment
Virtual reality
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The waters region in Indonesia are immense and have a tremendous potential natural resource for marine businesses, especially fisheries. Many Indonesians, especially those living in coastal areas, make fishing their source of livelihood. Currently, the technology that is commonly used to support the work of fishers in catching fish is the Fish Finder. However, there are still very few Fish Finder users because the tools are too expensive and complicated for fishers to obtain. In this study, a Digital Virtual Assistant is created to communicate and navigate in the search for fish distribution. In addition, this tool can simplify the work of fishers and save fuel costs, so that it is beneficial in terms of the economy aspect. This tool works by receiving data from land with LoRa RFM95 communication which indicates the potential presence of fish. The device works based on Latitude and Longitude data from the Marine Research and Observation Center. By entering required data, Virtual Digital Assistant will show the distance and direction to the location of fish distribution. This is result of system testing, the GPS sensor used in the Digital Virtual Assistant Ublox NEO-7m has an accuracy level with an average distance value of 3.220921 meters. The communication distance using portable devices with PC systems using LoRa with 3dBi antennas can reach 1.41 kilometers in a condition without obstructions between nodes. The delay in updating the ship coordinate data on the interface has the lowest average of 30.8 seconds.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0120229