| _version_ | 1866901315525804032 |
|---|---|
| author | Putri, Levana Masitajasmin Fadhilah, Muhammad Luthfie Cahyaningtyas, Nur Indah |
| author_facet | Putri, Levana Masitajasmin Fadhilah, Muhammad Luthfie Cahyaningtyas, Nur Indah |
| contents | <p>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.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17774201 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Understanding factors influencing rose productivity in Central Java Province, Indonesia Putri, Levana Masitajasmin Fadhilah, Muhammad Luthfie Cahyaningtyas, Nur Indah Central Java Indonesia Productivity Regression Rose <p>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.</p> |
| title | Understanding factors influencing rose productivity in Central Java Province, Indonesia |
| topic | Central Java Indonesia Productivity Regression Rose |
| url | https://doi.org/10.5281/zenodo.17774201 |