Skripsi

PENERAPAN ANALISIS BIPLOT DAN ANALISIS KLASTER PADA DATA PERKEBUNAN KARET DI INDONESIA

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Penilaian

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Rubber is one of the plantation commodities that generate foreign exchange from exports. Indonesia is the second-largest rubber producer after Thailand. In 2019 it consisted of 88.93% Smallholder Plantation (SP), 6.57% State Large Plantations (SLP) and 4.50% Private Large Plantations (PLP). The purpose of this study is to interpret the group of rubber-producing provinces based on the characteristics of the variables studied. The data in this study consisted of 22 rubber-producing provinces and 14 variables that affect rubber plantations in Indonesia, which were taken from the official website of the Directorate General of Plantation in 2021. This study used biplot analysis and cluster analysis with single linkage, centroid linkage and complete linkage methods. The results of the biplot analysis showed that production was strongly correlated with land area, area of Mature Plants (MP), Area of Non-Producing Plants (NPP), number of farmers, area of SP and SP production. PLP production is strongly correlated with PLP area and the number of workers, while SLP production is strongly correlated with SLP area.Three groups of rubber-producing provinces have dominant characteristics. In the single linkage and centroid linkage methods, there are 4 clusters consisting of 1 province with dominant characteristics, namely North Sumatra, South Sumatra, West Kalimantan and Central Kalimantan. While the other clusters do not have dominant characteristics. For the complete linkage method, there are two clusters consisting of 1 province with dominant characteristics, namely North Sumatra and South Sumatra, while the other clusters do not have dominant characteristics. South Sumatra is characterized by land area, area of MP, area of NPP, production,number of farmers, area of SP and production of SP. North Sumatra is characterized by the number of workers, SLP area, SLP production, PLP area and PLP production.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307000141	T81477	T814772023	Central Library (Referens)	Available

Detail Information

Series Title

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Call Number

T814772023

Publisher

Indralaya : Jurusan Matematika, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Sriwijaya., 2022

Collation

xi, 67 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

519.530 7

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Matematika statistikal deskriptif
Jurusan Matematika

Specific Detail Info

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Statement of Responsibility

PITRIA

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