Fish Disease Diagnose System using Case-based Reasoning with Euclidean Distance

Michel Farrel Tomatala, Rillya Arundaa, Handri Damodalag

2019

Abstract

Nile Tilapia fish disease has concerned the fish farmers. The farmers still lacked knowledge and information for finding the appropriate solution to prevent or cure the disease, and this situation caused the deficiency of Nile Tilapia fish harvest, which caused financial loss. Thus, it is necessary to find a suitable application as a medium of consultancy to diagnose the disease symptoms that affect Nile Tilapia fishes. Case-Based Reasoning (CBR) is one of the methods that can solve the problem by making a new Decision Support System (DCS) by referring to the old cases which have similarities or even the same cases like the new DCS. The system which is made in this study is the CBR system to diagnose Nile Tilapia disease by using Euclidean Distance Method. The number of based-cases which are used for this study is 40 old cases that are analyzed by using 40 new cases. System testing has been done three times by using Threshold 1, 2, and 3. The Threshold testing 1, 2, and 3 fell in the scores of 100%, 100% and 100% respectively. As a result, this study provides a useful application for Nile Tilapia fish farmers to prevent and cure fish disease.

Paper Citation

in Harvard Style

Farrel Tomatala M., Arundaa R. and Damodalag H. (2019). Fish Disease Diagnose System using Case-based Reasoning with Euclidean Distance. In Proceedings of the 4th International Conference of Vocational Higher Education - Volume 1: ICVHE, ISBN 978-989-758-530-2, pages 215-221. DOI: 10.5220/0010622500002967

in Bibtex Style

@conference{icvhe19,
author={Michel Farrel Tomatala and Rillya Arundaa and Handri Damodalag},
title={Fish Disease Diagnose System using Case-based Reasoning with Euclidean Distance},
booktitle={Proceedings of the 4th International Conference of Vocational Higher Education - Volume 1: ICVHE,},
year={2019},
pages={215-221},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010622500002967},
isbn={978-989-758-530-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference of Vocational Higher Education - Volume 1: ICVHE,
TI - Fish Disease Diagnose System using Case-based Reasoning with Euclidean Distance
SN - 978-989-758-530-2
AU - Farrel Tomatala M.
AU - Arundaa R.
AU - Damodalag H.
PY - 2019
SP - 215
EP - 221
DO - 10.5220/0010622500002967