PERANCANGAN APLIKASI PENENTUAN JENIS PAKAN TERNAK TERBAIK MENGGUNAKAN DATA MINING

  • Purwa Hasan Putra Universitas Pembangunan Panca Budi
  • Alfiansyah Hasibuan Universitas Pembangunan Panca Budi
  • Effenril Agung Marpaung Universitas Pembangunan Panca Budi

Abstract

The company's goal is to produce high quality aquaculture products such as seeds, pet feed, probiotics to shrimp products and processed food for the domestic and export markets. The company is still experiencing difficulties in determining the appropriate composition for the manufacture of animal feed. So that the animal feed produced has poor quality. Therefore, we need a decision support system that can assist in the process of determining the composition in the manufacture of animal feed. Because Data Mining is a computer-based system capable of solving unstructured problems. To be able to assist in the process of determining the composition of the company's animal feed, the author uses the Multi Factor Evaluation Process method. The Multi Factor Evaluation Process method is a method that breaks up a complex, unstructured situation into its component parts, the Multi Factor Evaluation Process method is based on the problem, where the decision maker must determine alternative criteria that are specifically specific. From the results of the research, it can be found, among others: The company must provide supporting tools to run the application of the MFEP Method in Determining this Feed Material so that it runs as desired. To achieve the objectives of the application of the MFEP Method in Determining the designed Animal Feed Ingredients, it is hoped that this research can continue so that the system can be Client-Server-based or Online. the criteria in the composition for animal feed are added and more detailed, so that the best animal feed can be carried out more accurately.

Published
2022-04-14
How to Cite
PUTRA, Purwa Hasan; HASIBUAN, Alfiansyah; MARPAUNG, Effenril Agung. PERANCANGAN APLIKASI PENENTUAN JENIS PAKAN TERNAK TERBAIK MENGGUNAKAN DATA MINING. Scenario (Seminar of Social Sciences Engineering and Humaniora), [S.l.], p. 227-233, apr. 2022. Available at: <https://jurnal.pancabudi.ac.id/index.php/scenario/article/view/4155>. Date accessed: 27 nov. 2022.
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