dc.contributor.author |
Amrulloh, Atho’ |
|
dc.contributor.author |
Hani, Evita Soliha |
|
dc.contributor.author |
Hariyati, Yuli |
|
dc.contributor.author |
Soetriono |
|
dc.contributor.author |
Harsono, Soni Sisbudi |
|
dc.date.accessioned |
2024-10-09T22:22:41Z |
|
dc.date.available |
2024-10-09T22:22:41Z |
|
dc.date.issued |
2024-08-05 |
|
dc.identifier.citation |
AMRULLOH, A.; HANI, E. S.; HARIYATI, Y.; SOETRIONO; HARSONO, S. S. Factors influencing GAP implementation on Robusta Coffee Farms in the Mountains of Indonesia. Coffee Science, Lavras, v. 19, p. e192205, 2024. Disponível em: https://coffeescience.ufla.br/index.php/Coffeescience/article/view/2205. Acesso em: 7 oct. 2024. |
pt_BR |
dc.identifier.issn |
1984-3909 |
|
dc.identifier.uri |
https://doi.org/10.25186/.v19i.2205 |
pt_BR |
dc.identifier.uri |
http://www.sbicafe.ufv.br/handle/123456789/14659 |
|
dc.description.abstract |
Robusta coffee is one of the plantation commodities that popular at home and abroad also as the biggest coffee product from Indonesia. This research aims to analyze the assessment of the level and influence factors of GAP implementation on coffee farmers in the Raung Argopuro Mountains region of Indonesia. The research was carried out in Bondowoso and Jember districts as one of the largest coffee producing centers in East Java with the coffee planting area located in the production forest area owned by Perhutani. The research data uses primary data from the results of assessing the level of GAP implementation among coffee farmer group members using an assessment model that refers to the 2014 RI Minister of Agriculture Regulation through actual assessments and in-depth interviews regarding implementation in the field. The method for determining and collecting data samples was carried out deliberately based on a multi-cluster random sampling model on members of a farmer group of 300 Robusta coffee farmers, divided into 150 coffee farmers in Bondowoso district and 150 coffee farmers in Jember district. Descriptive data analysis was used to see the level of GAP implementation by coffee farmers and logit model regression analysis was used to see the factors that influence the level of GAP implementation by coffee farmers in the research area. The research results show that the level of GAP implementation is divided into high and low implementation. The variables age, number of family members, land area and price variables are variables that have a positive and significant impact. |
pt_BR |
dc.format |
pdf |
pt_BR |
dc.language.iso |
en |
pt_BR |
dc.publisher |
Universidade Federal de Lavras |
pt_BR |
dc.relation.ispartofseries |
Coffee Science;v. 19, e192205, 2024; |
|
dc.rights |
Open access |
pt_BR |
dc.subject |
GAP |
pt_BR |
dc.subject |
Coffee farmer |
pt_BR |
dc.subject |
Level and factors GAP |
pt_BR |
dc.subject |
Robusta coffee |
pt_BR |
dc.subject.classification |
Cafeicultura::Colheita, pós-colheita e armazenamento |
pt_BR |
dc.title |
Factors influencing GAP implementation on Robusta Coffee Farms in the Mountains of Indonesia |
pt_BR |
dc.type |
Artigo |
pt_BR |