Klasifikasi Pembibitan Udang Vanamey Yang Ideal Menggunakan Algoritma Naive Bayes
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Hidayat Hidayat
*
Universitas Tomakaka, Universitas Handayani,
Indonesia
- Wardi Universitas Hasanuddin, Makassar, Indonesia
- Andani Achmad Universitas Hasanuddin, Makassar, Indonesia
- Yuyun Universitas Handayani Makassar, Makassar, Indonesia , Indonesia
Abstract
Data mining is the process of finding information by looking for certain patterns or rules from large amounts of data. This study applies the Naïve Bayes algorithm to classify the yield of Vanamey shrimp into three classes, namely successful, less successful and failed from the harvest sample data owned. To facilitate the analysis, the data is divided into 2 categories, namely 90 training data and 10 for testing data. Nine parameters were used, namely the number of distributions, land area, type of disease, water color, soil conditions, season, feed, capital and yields. To validate the classification, we used a confusion matrix to test the accuracy of the algorithm. The test results show an accuracy of 54.4%, 100% precision, and 77.7% recall
References
Aggarwal, Charu C. 2015. Data Classification Algorithms And Appliacations. Chapman And Hall/CRC Data Mining and Knowledge Discovery Series. United States : CRC Press
Anijar, 2014. Analisis Usaha Tambak Alam. Skripsi. Universitas Muhammadiyah Sumatera Utara. Medan.
Arifianty, S. dkk. 2008. Optimalisasi Input Produksi Budidaya Udang Vaname (Litopenaeus vannamei) pada UD Jasa Hasil Diri (JHD) Desa Lamaran Tarung, Kecamatan Cantigi, Kabupaten Indramayu, Jawa Barat. [Jurnal]. Bogor (ID): Jurnal Akuakultur Indonesia, 7(1) 39-49.
Basit, A. 2020. Ilmu Usahatani. Penebar Swadaya. Jakarta.
Hanadi, 2002. Udang windu.kanisus.yogyakarta
Hofmann, Markus., Klinkenberg, Ralf. 2014. Rapid Miner Data Mining Use Cases And Business Analytics Applications. Chapman And Hall/CRC Data Mining and Knowledge Discovery Series. United States : CRC Press
Juarno, O. dkk. 2011. Kinerja Produktivitas dan Faktor yang Berpengaruh Terhadap Total Factor Produktivity (TFP) Tambak udang Indonesia. J. Sosek KP Vol. 6 No.2.
Maulina, dkk, 2012. Analisis prospek budidaya tambak udang di kabupaten garut jurnal akuatika 3 ( 1 ) : 49-62
Sindhu Rakasiwi, Taqius S. A, 2017. Sistem Pakar Diagnosa Penyakit Udang Vannamei, Stekom Vol 8 ISSN: 2252-4983
Subyakto, dkk, 2009. Budidaya udang vannamei ( Litopenaeus Vannme ) semi intensif dengan metode sirkulasi tertutup untuk menghindari serangan virus jurnal ilmiah perikanan dan kelautan. 1 ( 2 ): 121-127.
Susilo, H. 2007. Analisis Ekonomi Usaha Budidaya Tambak dan Faktor-Faktor yang Mempengaruhi Produksi. EPP.Vol.4.No.2.2007:19-23
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