Image of PREDIKSI PERTUMBUHAN BERAT IKAN LELE DALAM BUDIDAYA AKUAKULTUR DENGAN MENGGUNAKAN ALGORITMA RANDOM FOREST REGRESSION

Skripsi

PREDIKSI PERTUMBUHAN BERAT IKAN LELE DALAM BUDIDAYA AKUAKULTUR DENGAN MENGGUNAKAN ALGORITMA RANDOM FOREST REGRESSION

Penilaian

0,0

dari 5
Penilaian anda saat ini :  

The weight growth of fish is a fundamental aspect of aquaculture, serving as a pivotal indicator of feeding efficacy and pond environmental management. This study aims to develop a predictive model for the growth of catfish weight using the Random Forest Regression algorithm approach. The research method involves the utilization of a dataset comprising environmental parameters such as temperature, dissolved oxygen, pH, and nitrate levels, as well as the length and weight data of catfish from the previous day to train the Random Forest Regression model. The results indicate that the developed model can provide predictions of catfish weight growth with a high level of accuracy. By considering environmental parameters and previous length and weight data of the fish, this model can offer reliable estimates regarding catfish weight growth. The implications of this research are that the use of this model can assist catfish farmers in optimizing environmental management to effectively enhance catfish growth and productivity. Thus, this study highlights the potential of utilizing the Random Forest Regression algorithm as a useful method in predicting catfish weight growth and reinforcing sustainable catfish farming practices.

Availability
Inventory Code Barcode Call Number Location Status
2407003843T147939T1479392024Central Library (REFERENCES)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T1479392024
Publisher
Indralaya : Prodi Teknik Informatika, Fakulta Ilmu Komputer.,
Collation
xv, VI-1 hlm.; ilus.; tab.; 28 cm.
Language
Indonesia
ISBN/ISSN
-
Classification
006.307
Content Type
Text
Media Type
unmediated
Carrier Type
unspecified
Edition
-
Subject(s)
Sistem Pakar
Prodi Teknik Informatika
Specific Detail Info
-
Statement of Responsibility
Other version/related

No other version available

File Attachment
Comments
You must be logged in to post a comment