THE ANALYSIS OF AGRICULTURAL PRODUCT IN PINEAPPLE COMMODITIES IN NGANCAR DISTRICT, KEDIRI REGENCY, EAST JAVA PROVINCE

The present research has the purpose to analyze factors affecting the production of pineapple in Ngancar District, Kediri Regency, East Java Province. The research took place in Ngancar District, Kediri Regency, East Java Province, employing secondary data derived from Central Bureau of Statistics (...

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Main Author: Risdiana Himmati
Format: Article
Language:English
Published: University of Brawijaya 2017-05-01
Series:Journal of Indonesian Applied Economics
Subjects:
Online Access:http://jiae.ub.ac.id/index.php/jiae/article/view/194
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spelling doaj-1e5a7da663a442aba679f6efcacd02252020-11-24T21:37:01ZengUniversity of BrawijayaJournal of Indonesian Applied Economics1907-79472541-53952017-05-0171485810.21776/ub.jiae.2017.007.01.3171THE ANALYSIS OF AGRICULTURAL PRODUCT IN PINEAPPLE COMMODITIES IN NGANCAR DISTRICT, KEDIRI REGENCY, EAST JAVA PROVINCERisdiana Himmati0Sebelas Maret UniversityThe present research has the purpose to analyze factors affecting the production of pineapple in Ngancar District, Kediri Regency, East Java Province. The research took place in Ngancar District, Kediri Regency, East Java Province, employing secondary data derived from Central Bureau of Statistics (Kediri Regency) and Agricultural Extension Agency (Ngancar District) and primary data consisted of farming production data, land area, amount of seeds, and amount of fertilizer usage, pesticide and workforce. The analysis technique used in this research was Cobb-Douglas production function. The completion upon Cobb-Douglas production functions used Ordinary Least Square (OLS) method with Eviews 9 program tool. The sampling technique employed in this research was simple random sampling method. The results demonstrate that the pineapple total production in Ngancar District is affected by land area, amount of seeds, molasses, and urea. The research concludes that pineapple production in Ngancar District is affected by all the factors of production, except the usage of pesticide and workforce.http://jiae.ub.ac.id/index.php/jiae/article/view/194Pineapple, Cobb-Douglas, OLS, Simple Random Sampling
collection DOAJ
language English
format Article
sources DOAJ
author Risdiana Himmati
spellingShingle Risdiana Himmati
THE ANALYSIS OF AGRICULTURAL PRODUCT IN PINEAPPLE COMMODITIES IN NGANCAR DISTRICT, KEDIRI REGENCY, EAST JAVA PROVINCE
Journal of Indonesian Applied Economics
Pineapple, Cobb-Douglas, OLS, Simple Random Sampling
author_facet Risdiana Himmati
author_sort Risdiana Himmati
title THE ANALYSIS OF AGRICULTURAL PRODUCT IN PINEAPPLE COMMODITIES IN NGANCAR DISTRICT, KEDIRI REGENCY, EAST JAVA PROVINCE
title_short THE ANALYSIS OF AGRICULTURAL PRODUCT IN PINEAPPLE COMMODITIES IN NGANCAR DISTRICT, KEDIRI REGENCY, EAST JAVA PROVINCE
title_full THE ANALYSIS OF AGRICULTURAL PRODUCT IN PINEAPPLE COMMODITIES IN NGANCAR DISTRICT, KEDIRI REGENCY, EAST JAVA PROVINCE
title_fullStr THE ANALYSIS OF AGRICULTURAL PRODUCT IN PINEAPPLE COMMODITIES IN NGANCAR DISTRICT, KEDIRI REGENCY, EAST JAVA PROVINCE
title_full_unstemmed THE ANALYSIS OF AGRICULTURAL PRODUCT IN PINEAPPLE COMMODITIES IN NGANCAR DISTRICT, KEDIRI REGENCY, EAST JAVA PROVINCE
title_sort analysis of agricultural product in pineapple commodities in ngancar district, kediri regency, east java province
publisher University of Brawijaya
series Journal of Indonesian Applied Economics
issn 1907-7947
2541-5395
publishDate 2017-05-01
description The present research has the purpose to analyze factors affecting the production of pineapple in Ngancar District, Kediri Regency, East Java Province. The research took place in Ngancar District, Kediri Regency, East Java Province, employing secondary data derived from Central Bureau of Statistics (Kediri Regency) and Agricultural Extension Agency (Ngancar District) and primary data consisted of farming production data, land area, amount of seeds, and amount of fertilizer usage, pesticide and workforce. The analysis technique used in this research was Cobb-Douglas production function. The completion upon Cobb-Douglas production functions used Ordinary Least Square (OLS) method with Eviews 9 program tool. The sampling technique employed in this research was simple random sampling method. The results demonstrate that the pineapple total production in Ngancar District is affected by land area, amount of seeds, molasses, and urea. The research concludes that pineapple production in Ngancar District is affected by all the factors of production, except the usage of pesticide and workforce.
topic Pineapple, Cobb-Douglas, OLS, Simple Random Sampling
url http://jiae.ub.ac.id/index.php/jiae/article/view/194
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