TELKOMNIKA Telecommunication, Computing, Electronics and Control
Integration of IoT and chatbot for aquaculture with natural language processing
Dublin Core
Title
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Integration of IoT and chatbot for aquaculture with natural language processing
Integration of IoT and chatbot for aquaculture with natural language processing
Subject
Chatbot, Cloud service, IoT, NLP, Smart aquaculture
Description
The development of internet of things (IoT) technology is very fast lately.
One sector that can be implemented by IoT technology is the aquaculture sector. One important factor in the success of aquaculture is a good and controlled water quality condition. But the problem for the traditional aquaculture farmers is to monitor and increase the water quality quickly and efficiently. To resolve the above-mentioned problem, this paper proposes a real-time monitoring system for aquaculture and supported with chatbot assistant to facilitate the user. This system was composed of IoT system, cloud system, and chatbot system. The proposed system consists of 7 main modules: smart sensors, smart aeration system, local network system, cloud computing system, client visualization data, chatbot system, and solar powered system. The smart aeration system consists of NodeMCU, relay, and aerator. The smart sensors consist of several sensors such as dissolved oxygen, pH, temperature, and water level sensor. Natural language processing is implemented to build the chatbot system. By combining text mining processing with naive Bayes algorithm, the result shows the very good performance with high precision and recall for each class to monitor the quality of water in aquaculture sector.
One sector that can be implemented by IoT technology is the aquaculture sector. One important factor in the success of aquaculture is a good and controlled water quality condition. But the problem for the traditional aquaculture farmers is to monitor and increase the water quality quickly and efficiently. To resolve the above-mentioned problem, this paper proposes a real-time monitoring system for aquaculture and supported with chatbot assistant to facilitate the user. This system was composed of IoT system, cloud system, and chatbot system. The proposed system consists of 7 main modules: smart sensors, smart aeration system, local network system, cloud computing system, client visualization data, chatbot system, and solar powered system. The smart aeration system consists of NodeMCU, relay, and aerator. The smart sensors consist of several sensors such as dissolved oxygen, pH, temperature, and water level sensor. Natural language processing is implemented to build the chatbot system. By combining text mining processing with naive Bayes algorithm, the result shows the very good performance with high precision and recall for each class to monitor the quality of water in aquaculture sector.
Creator
M. Udin Harun Al Rasyid, Sritrusta Sukaridhoto, Muhammad Iskandar Dzulqornain, Ahmad Rifa’i
Source
DOI: 10.12928/TELKOMNIKA.v18i1.14788
Publisher
Universitas Ahmad Dahlan
Date
April 2020
Contributor
Sri Wahyuni
Rights
ISSN: 1693-6930
Relation
http://journal.uad.ac.id/index.php/TELKOMNIKA
Format
PDF
Language
English
Type
Text
Coverage
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Files
Collection
Citation
M. Udin Harun Al Rasyid, Sritrusta Sukaridhoto, Muhammad Iskandar Dzulqornain, Ahmad Rifa’i, “TELKOMNIKA Telecommunication, Computing, Electronics and Control
Integration of IoT and chatbot for aquaculture with natural language processing,” Repository Horizon University Indonesia, accessed April 16, 2025, https://repository.horizon.ac.id/items/show/3687.
Integration of IoT and chatbot for aquaculture with natural language processing,” Repository Horizon University Indonesia, accessed April 16, 2025, https://repository.horizon.ac.id/items/show/3687.