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PERBANDINGAN PLOT HASIL SIMPLE DAN MULTIPLE CORRESPONDENCE ANALYSIS PADA HUBUNGAN FAKTOR-FAKTOR YANG MEMPENGARUHI NET INCOME PETANI KOPI PAGARALAM

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Penilaian

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Production of coffee in Indonesia ranks fourth largest after rubber, coconut and palm oil. Pagaralam is one of the coffee producers in South Sumatra Indonesia Country, with a production of 20.153 tons and the number of farmers in coffee farming is 9,321 families card. This research aims to represent the variables that are significantly related to the net income of farmers in graphical form using Simple and Multiple Correspondence Analysis also compare by results. Data to use in this research is secondary data which includes 19 factors. Using correspondence analysis there are 10 factors that are significant to Net Income include: farmer's age, length of farming, area, number of trees, coffee bean production, total harvest, maintenance costs, gross income, number of workers outside the family and frequency of using chemicals. While of 9 another factor (edifiaction of farmers, age on a tree, a long harvesttime, land productivity, average production, frequency to use herbisida, frequency to use organic fertilizer, category of herbicide user per reduction, and the number of workers in the family). The tendency of the most dominant factor category have an effect on Net Income variable is in the "Level 1 (Very Low)" category. Number of trees, total harvested coffee bean production, gross income, total of employee outside the family and the frequency of using chemicals in Pagaralam coffee farmers there are similarities in row variable and column variable interpretation results for Simple and Multiple Correspondence Analysis Plots.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307002099	T107440	T1074402023	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1074402023

Publisher

Inderalaya : Jurusan Matematika, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Sriwijaya., 2023

Collation

xiii, 60 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

510.285 07

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

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Subject(s)

Jurusan Matematika
Pengolahan dan Analisa Data di Bidang Matematika

Specific Detail Info

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Statement of Responsibility

SEPTA

Other version/related

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