Tobing, Fenina Adline Twince and Dzulhaq, Muhammad Iqbal and Overbeek, Marlinda Vasty and Setiawan, Eko Anto (2019) Design of Decision Support System with C4.5 Algorithm Methods in Determining Results Vaname Shrimp Cultivation. In: 2019 5th International Conference on New Media Studies (CONMEDIA), 9-11 Oct. 2019, Bali.
Full text not available from this repository.Abstract
Water quality has a very important role in the success of shrimp farming. Water as a living medium for shrimp, has a direct effect on the health and growth of shrimp. Water quality determines the existence of various types of organisms in the pond ecosystem, both for shrimp and other biota. Water quality that is far from the optimal value can cause cultivation failure, while optimal water quality can support shrimp growth. This study aims to build a decision support system to help companies manage water quality to get good shrimp farming results. The attributes used are water height, salinity, DO, pH, temperature, alkalinity and target size attributes of shrimp. The data used were 93 data partitioned into 76 training data and 17 testing data. Based on the classification results using the C4.5 algorithm, accuracy was 76.47%, precision was 72.72% and recall was 88.88%. From this study it was proven that the decision support system with the C4.5 algorithm can be used to determine the results of vaname shrimp farming.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 003 Systems (Computer Modeling and Simulation) |
| Divisions: | Faculty of Engineering & Informatics > Informatics |
| Depositing User: | Administrator UMN Library |
| Date Deposited: | 15 Oct 2021 03:30 |
| Last Modified: | 15 Oct 2021 03:30 |
| URI: | https://kc.umn.ac.id/id/eprint/18796 |
Actions (login required)
 |
View Item |
