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All Journal Jurnal Pamator : Jurnal Ilmiah Universitas Trunojoyo Madura
Iryanti Djaja
Master of Management, Faculty of Economics and Business, Universitas Indonesia
Humanities Economics, Econometrics & Finance Social Sciences

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Prediction of Successful Harvest of Vaname Shrimp Pond at PT FEI With Machine Learning Approach Iryanti Djaja; A. A.Arviansyah
Jurnal Pamator : Jurnal Ilmiah Universitas Trunojoyo Vol 16, No 2: April - June 2023
Publisher : LPPM Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/pamator.v16i2.19794

Abstract

The demand for shrimp from Indonesia continues to increase every year, thus creating greater interest in the shrimp farming industry. Although shrimp is relatively easy to farm, many variables affect the success of the harvest. The harvest in shrimp farming is calculated using % SR (Survival Rate). In our research, we used machine learning approaches, namely decision tree (DT) and k-Nearest Neighbor (KNN). DT and KNN will be used to predict whether we will have a successful harvest. From these predictions, we also provide suggestions for business improvements to utilize data. The expected result of such advice is that the business can improve its performance and get more consistent results.
Co-Authors A. A.Arviansyah