Image of MULTIPLE CORRESPONDENCE ANALYSIS PADA HUBUNGAN FAKTOR-FAKTOR YANG MEMPENGARUHI PENGGUNAAN REDUKTAN HERBISIDA PADA PETANI KOPI PAGARALAM

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MULTIPLE CORRESPONDENCE ANALYSIS PADA HUBUNGAN FAKTOR-FAKTOR YANG MEMPENGARUHI PENGGUNAAN REDUKTAN HERBISIDA PADA PETANI KOPI PAGARALAM

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Indonesia. Coffee plants that have been around for a long time are the reason why the majority of Pagaralam coffee is old, so it needs proper land management, so that coffee plants can be more productive. The use of reductants as herbicide mixtures has a very positive impact on sustainable agriculture, including weed control in coffee fields. MCA is used to extract information from a two dimensional graph based on a multi directional contingency table. This study aims to graphically represent the variables that are significantly related to the coffee farmer category on the use of reductant herbicides using MCA. Based on previous studies, factors that have relationship with the use of reductants, namely education, age of trees, number of workers outside the family, length of harvest, frequency of herbicide use, frequency of chemical fertilizers used, and frequency of organic fertilizers used. The similarity of SCA and MCA located of coordinates position for new user and user categories in education, all tree age categories except Age 1, user category in the number of workers outside the family, new and user categories in the number of harvest periods, new category in the frequency of herbicide use. Meanwhile, the frequency of using chemical fertilizers and the frequency of using organic fertilizers did not show any similarity in the results of SCA and MCA. Keywords : Multiple Correspondence Analysis, Reductant Herbicide, Pagaralam Coffee Farmers.

Availability
Inventory Code Barcode Call Number Location Status
2307003176T107029T1070292023Central Library (Referens)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T1070292023
Publisher
Inderalaya : Jurusan Matematika, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Sriwijaya.,
Collation
xi, 47 hlm.; ilus.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
510.285 07
Content Type
Text
Media Type
unmediated
Carrier Type
-
Edition
-
Subject(s)
Jurusan Matematika
Pengolahan dan Analisa Data di Bidang Matematika
Specific Detail Info
-
Statement of Responsibility
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No other version available

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