PEMODELAN REGRESI LOGISTIK PENGGUNAAN REDUKTAN HERBISIDA PADA BUDIDAYA KOPI DI PAGARALAM

MAKHALLI, SIDDIQ and Ngudiantoro, Ngudiantoro and Irmeilyana, Irmeilyana (2022) PEMODELAN REGRESI LOGISTIK PENGGUNAAN REDUKTAN HERBISIDA PADA BUDIDAYA KOPI DI PAGARALAM. Undergraduate thesis, Sriwijaya University.

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Abstract

Coffee is one of the sub-sectors of the plantation industry that has an important role in improving the economy, both at local and national levels. The province of South Sumatra is one of the largest coffee producers in Indonesia, and one of the coffee-producing districts/cities in South Sumatra is Pagaralam. The frequent use of herbicides by coffee farmers in weed control can have a negative impact on product quality and the environment. Reductant as a reducing agent for herbicide residues can be an alternative in overcoming this problem. This study aims to obtain a binary logistic regression model regarding the use of herbicide reductants by coffee farmers in Pagaralam. Logistic regression modeling using stepwise method. This study involved 166 coffee farmers, consisting of 81 farmers who used reductants and 85 farmers who did not use reductants. There were 10 independent variables observed to determine the characteristics of farmers' decisions in the use of herbicide reductants. Tree age , organic fertilizer , and land productivity are variables that have a significant effect on the use of herbicide reductants. An increase in one category of tree age and organic fertilizer, as well as a decrease in one category of land productivity, can lead to an increase probability in the use of reductants by coffee farmers.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	model regresi logistik, reduktan herbisida, budidaya kopi Pagaralam
Subjects:	Q Science > QA Mathematics > QA273-280 Probabilities. Mathematical statistics
Divisions:	08-Faculty of Mathematics and Natural Science > 44201-Mathematics (S1)
Depositing User:	Mr. Siddiq Makhalli
Date Deposited:	08 Dec 2022 02:16
Last Modified:	08 Dec 2022 02:16
URI:	http://repository.unsri.ac.id/id/eprint/83486

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