Understanding factors influencing rose productivity in Central Java Province, Indonesia

Central Java Province is recognized as one of the main rose-producing regions in Indonesia, ranking second in production volume nationwide. However, this high production level has not been accompanied by a positive trend in productivity. This study aims to analyze the factors influencing rose productivity using the Cobb–Douglas production function with the Ordinary Least Squares (OLS) method for parameter estimation. The independent variables considered include plant population (X1), organic fertilizer (X2), chemical fertilizer (X3), labor (X4), and pesticides (X5), with rose productivity as the dependent variable. The results reveal that plant population, chemical fertilizer, labor, and pesticides positively and significantly affect productivity, while organic fertilizer shows no significant impact. The findings highlight the importance of optimizing production inputs particularly plant density, chemical fertilizers, labor allocation, and effective pest control to enhance rose productivity efficiently and sustainably.

Authors

Publication Details

Journal
World Journal of Advanced Research and Reviews
Published
2025-09-24
DOI
https://doi.org/10.30574/wjarr.2025.27.3.3302
Primary Topic
Flowering Plant Growth and Cultivation
Type
article
Field-Weighted Citation Impact
0.00
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article

Understanding factors influencing rose productivity in Central Java Province, Indonesia

Muhammad Luthfie Fadhilah, Nur Indah Cahyaningtyas, Levana Masitajasmin Putri
World Journal of Advanced Research and Reviews
Flowering Plant Growth and Cultivation
article

Understanding factors influencing rose productivity in Central Java Province, Indonesia

Muhammad Luthfie Fadhilah, Nur Indah Cahyaningtyas, Levana Masitajasmin Putri
article en

Abstract

Central Java Province is recognized as one of the main rose-producing regions in Indonesia, ranking second in production volume nationwide. However, this high production level has not been accompanied by a positive trend in productivity. This study aims to analyze the factors influencing rose productivity using the Cobb–Douglas production function with the Ordinary Least Squares (OLS) method for parameter estimation. The independent variables considered include plant population (X1), organic fertilizer (X2), chemical fertilizer (X3), labor (X4), and pesticides (X5), with rose productivity as the dependent variable. The results reveal that plant population, chemical fertilizer, labor, and pesticides positively and significantly affect productivity, while organic fertilizer shows no significant impact. The findings highlight the importance of optimizing production inputs particularly plant density, chemical fertilizers, labor allocation, and effective pest control to enhance rose productivity efficiently and sustainably.

World Journal of Advanced Research and ReviewsVol. 27(3)
Openalex Percentile: Top 81%
Flowering Plant Growth and Cultivation
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