Pengelompokan Aksesi Jeruk Persilangan Berdasarkan Karakter Kuantitatif Dan Kualitatif Menggunakan Fuzzy C-Means Dan K-Modes

Saputra, Candra Widhi (2016) Pengelompokan Aksesi Jeruk Persilangan Berdasarkan Karakter Kuantitatif Dan Kualitatif Menggunakan Fuzzy C-Means Dan K-Modes. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Balitjestro telah memulai program pemuliaan jeruk sejak tahun 2006 dengan cara persilangan antar 2 jenis jeruk. Dalam 1 proses persilangan dapat menghasilkan ±150 varietas tanaman baru. Banyaknya varietas baru persilangan di dapat dari biji buah persilangan antara jeruk jenis Siam Pontianak dan jeruk jenis Soe. Untuk dapat membedakan varietas baru tersebut, maka varietas yang baru muncul tersebut nantinya akan diberi nama. Setelah didapatkan suatu varietas – varietas baru selanjutnya dilakukan proses seleksi. Proses seleksi penting untuk memilah antara varietas biasa dan varietas unggul. Seleksi salah satunya dapat menggunakan karakterisasi tanaman jeruk tersebut. Terdapat 2 jenis pengamatan yang dihasilkan dari karakterisasi tanaman jeruk ini, yaitu pengamatan kuantitatif dan kualitatif. Penelitian ini dilakukan untuk mengetahui pengelompokan aksesi jeruk persilangan dengan metode Fuzzy C-Means, K-Modes, dan Ensemble Cluster. Data yang digunakan adalah data sekunder yang diperoleh dari pengamatan di Balai Penelitian Jeruk dan Buah Subtropika (BALITJESTRO) dengan 34 data aksesi yang bertipe kuantitatif dan kualitatif. Hasil penelitian menunjukkan bahwa Fuzzy CMeans menghasilkan 3 kelompok optimum, K-Modes menghasilkan 4 kelompok dengan akurasi 100%, dan ensemble cluster akan dibuat 4 kelompok dengan akurasi 97%. Metode fuzzy c-means cluster yang digunakan pada karakter kuantitatif cukup untuk mengelompokkan kedua tipe data karena memiliki nilai icdrate 0,27 dan akurasi 97% ==================================================================================================== Balitjestro has started citrus breeding program since 2006 by way of a cross between two types of oranges. In one cross process can produce ± 150 new plants varieties. The number of new hybrid varieties results obtained the fruit seeds from hybrids types of Siam Pontianak oranges and Soe oranges. To be able to distinguish the new varieties, the varieties are emerging that will later be named. Having obtained a new varietys of the selection process is then performed. The selection process is important for distinguishing between ordinary varieties and superior varieties. Selection of one of them can use the characterization of the citrus plants. There are two types of observations resulting from the characterization of citrus plants, namely quantitative and qualitative observations. This study was conducted to determine the grouping accession orange hybrid with Fuzzy C-Means, K-Modes, and Cluster Ensemble. The data used is secondary data obtained from observations at the Research Institute for Citrus and Subtropical Fruit (Balitjestro) with 34 accessions of the type of data quantitatively and qualitatively. The results showed that the Fuzzy C-Means optimum result in 3 groups, K-Modes resulted in 4 groups with 100% accuracy, and the ensemble cluster will be made 4 groups with an accuracy of 97%. Fuzzy c-means cluster used in quantitative characters enough to classify both types of data because it has value and error icdrate 0.27 and accuracy 97%

Item Type: Thesis (Undergraduate)
Additional Information: RSSt 519.53 Sap p 3100016066200
Uncontrolled Keywords: Persilangan. Fuzzy C-Means, K-Modes, Ensemble Cluster, Balitjestro, Hybrid
Subjects: Q Science > QA Mathematics > QA278 Cluster Analysis. Multivariate analysis. Correspondence analysis (Statistics)
Divisions: Faculty of Mathematics and Science > Statistics > 49201-(S1) Undergraduate Thesis
Depositing User: - Davi Wah
Date Deposited: 25 Feb 2020 07:41
Last Modified: 25 Feb 2020 07:41
URI: https://repository.its.ac.id/id/eprint/75121

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