BibTex Citation Data :
@article{Agrisocionomics11700, author = {Hanisah Hanisah and Silvia Anzitha and Fitri Ningsih and Rini Mastuti}, title = {ANALYSIS OF THE RELATIONSHIP OF INCOME WITH THE PROPORTION OF HOUSEHOLD FOOD EXPENDITURE OF RICE FARMS IN GAMPONG ALUE MERBAU, LANGSA CITY}, journal = {Agrisocionomics: Jurnal Sosial Ekonomi Pertanian}, volume = {6}, number = {1}, year = {2022}, keywords = {food expenditure, food security, income, household}, abstract = { The purposes of this research were 1) to analyze the household income of rice farmers in Gampong Alue Merbau, 2) to analyze the proportion of household food expenditures for rice farmers in Gampong Alue Merbau, 3) to analyze the relationship between income and the proportion of household food expenditures for rice farmers in Gampong Alue Merbau. This research was conducted in Gampong Alue Merbau, East Langsa District, Langsa City. The analytical methods used are rice farmer household income analysis, rice farmer household food expenditure proportion analysis, and Pearson Correlation analysis. The results showed that the average household income of rice farmers was Rp 2,898,804/month. The average proportion of household food expenditure is 52%. Income with the proportion of food expenditure has a significant relationship. The correlation coefficient value is -0.579, which indicates a moderate relationship. The correlation coefficient value in the analysis results is negative, which means that income and the proportion of food expenditure have an opposite relationship. If the income is high, the proportion of food expenditure is low; if the income is low, the proportion of food expenditure is high. }, issn = {2621-9778}, pages = {201--209} doi = {10.14710/agrisocionomics.v6i1.11700}, url = {https://ejournal2.undip.ac.id/index.php/agrisocionomics/article/view/11700} }
Refworks Citation Data :
The purposes of this research were 1) to analyze the household income of rice farmers in Gampong Alue Merbau, 2) to analyze the proportion of household food expenditures for rice farmers in Gampong Alue Merbau, 3) to analyze the relationship between income and the proportion of household food expenditures for rice farmers in Gampong Alue Merbau. This research was conducted in Gampong Alue Merbau, East Langsa District, Langsa City. The analytical methods used are rice farmer household income analysis, rice farmer household food expenditure proportion analysis, and Pearson Correlation analysis. The results showed that the average household income of rice farmers was Rp 2,898,804/month. The average proportion of household food expenditure is 52%. Income with the proportion of food expenditure has a significant relationship. The correlation coefficient value is -0.579, which indicates a moderate relationship. The correlation coefficient value in the analysis results is negative, which means that income and the proportion of food expenditure have an opposite relationship. If the income is high, the proportion of food expenditure is low; if the income is low, the proportion of food expenditure is high.
Article Metrics:
Last update:
Starting from 2021, the author(s) whose article is published in the Agrisocionomics journal attain the copyright for their article. By submitting the manuscript to Agrisocionomics, the author(s) agree with this policy. No special document approval is required.
The author(s) guarantee that:
The author(s) retain all rights to the published work, such as (but not limited to) the following rights:
If the article was prepared jointly by more than one author, each author submitting the manuscript warrants that they have been given permission by all co-authors to agree to copyright and license notices (agreements) on their behalf, and agree to notify the co-authors of the terms of this policy. Agrisocionomics will not be held responsible for anything that may arise because of the writer's internal dispute. Agrisocionomics will only communicate with correspondence authors.
Authors should also understand that once published, their articles (and any additional files, including data sets, and analysis/computation data) will become publicly available. The license of published articles (and additional data) will be governed by the Creative Commons Attribution license as currently featured on the Creative Commons Attribution-ShareAlike 4.0 International License. Agrisocionomics allows users to copy, distribute, display and perform work under license. Users need to attribute the author(s) and Agrisocionomics to distribute works in journals and other publication media. Unless otherwise stated, the author(s) is a public entity as soon as the article is published.
View My Stats