Skripsi
EKSPLORASI GRAFIS DARI MATRIKS DATA BUAH CERI HIJAU KOPI ROBUSTA DENGAN MENGGUNAKAN ANALISIS BIPLOT
This research was motivated by the importance of understanding the factors that influence the production of green coffee cherry in Robusta coffee. One of the factors is the branching structure of the tree, which consists of primary, secondary, and tertiary branches. The data used in this study were secondary data obtained from observations of green coffee cherry production in Robusta coffee during 2023 and 2024 in Dempo Tengah District, Pagar Alam City, South Sumatra. There are two data matrices i.e. matrix A is the 2023 matrix with 28 tree objects and 7 variables, and matrix B is the 2024 matrix with 30 tree objects and 7 variables. The observed variables include the number of primary branches, secondary branches, tertiary branches, total fruit, as well as the number of fruits on primary, secondary, and tertiary branches. This study aims to explore the relationships among the factors influencing green coffee cherry production in Robusta coffee graphically using Biplot Analysis as a multivariate visualization method. The results show that the number of secondary branches contributes most dominantly to the total fruit production. Additionally, there is a very strong relationship between the number of tertiary branches and the number of fruits on tertiary branches. The direction and length of the vectors in the biplot clarify the correlation between the number of branches, especially secondary branches, and the quantity of fruit produced.
| Inventory Code | Barcode | Call Number | Location | Status |
|---|---|---|---|---|
| 2507006483 | T186183 | T1861832025 | Central Library (Reference) | Available but not for loan - Not for Loan |
| Title | Edition | Language |
|---|---|---|
| PERBANDINGAN KONFIGURASI DUA MATRIKS DATA PRODUKSI BUAH CERI HIJAU KOPI ROBUSTA DENGAN MENGGUNAKAN ANALISIS PROCRUSTES | id |