Issue |
BIO Web Conf.
Volume 144, 2024
1st International Graduate Conference on Smart Agriculture and Green Renewable Energy (SAGE-Grace 2024)
|
|
---|---|---|
Article Number | 04002 | |
Number of page(s) | 11 | |
Section | Socioeconomic and Community Development | |
DOI | https://doi.org/10.1051/bioconf/202414404002 | |
Published online | 25 November 2024 |
Analysis of Income Levels and Welfare of Coffee Farmers in Sumbertani Village, North Lampung Regency
Department of Agribusiness, Universitas Muhammadiyah Yogyakarta, 55183, Yogyakarta, Indonesia
* Corresponding author: zaki@umy.ac.id
According to statistical data from the Indonesian Directorate General of Agriculture, Lampung Province is able to produce approximately 110,000 tons of coffee per year. This shows that the existence and existence of coffee farmers in Lampung Province are very good and productive in producing coffee. The type of research conducted is quantitative descriptive. Quantitative descriptive is a type of research used to analyze data by describing or describing the data that has been collected as it is. Descriptive quantitative research uses a correlational approach. The income obtained by each farmer is different because it is influenced by several factors, such as the area of treatment land in the treatment consisting of fertilizing, cleaning weeds and pruning farmers' welfare can be selected from the value of the classification level of each indicator. The average income at IDR. 22,327,380.00 for each land area of 20,285.71m2. with the lowest farmer income of IDR.7,538,095.00. The welfare level of the 42 samples of farmers who are included in the prosperous group is twenty-three samples with a percentage of (55%) and the sample that is included in the not prosperous group is nineteen samples with a percentage of (45%).
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.