{"title":"Analysis of Factors Influencing Rice Production in Labuhan Batu District","authors":"T. S. Elvina, Akbar A. Siregar, R. Ginting","doi":"10.55324/josr.v2i9.1263","DOIUrl":null,"url":null,"abstract":"This study aims to analyze the factors that influence rice production in Labuhan Batu District. The research was conducted in Labuhanbatu Regency, North Sumatra Province. The determination of the research area was carried out purposively (deliberately) with the consideration that the area of Labuhanbatu Regency was because according to BPS data for 2021, there was a deficit in dry milled rice production and corn production in Labuhanbatu which was not proportional to the population growth. The population in this study were all sub-districts that existed in Labuhanbatu Regency, which totaled 9 sub-districts the method used in sampling was a census, and the selection of samples was taken from 9 sub-districts in Labuhan Batu District. Data analysis in this study used Multiple Regression Analysis (multiple regression) through the Cobb-Dougla function, while the results of this study were that in the study the variable area of land had an effect on rice production because t count > t table (6,184 > 2,010) and a significant level 0.000 < 0.05. In the research, the agricultural sector variable has an effect on rice production because of t-count > t table (3,398 > 2,010) and a significant level of 0.002 <0.05. In the research, the variable fertilizer has an effect on rice production because t-count > t table (5.075 <2.010) and a significant level of 0.000 <0.05. In this study, the seed variable has an effect on rice production because of t-count > t-table (4,341 < 2,010) and a significant level of 0.000 < 0.05. The form of a linear regression model of the Cobb-Douglas production function for the study of factors influencing rice production. Shows the results of (bx1+bx2+bx3+bx4) = 4,761 meaning that in this study the area of land, the contribution of the agricultural sector, the use of fertilizers, and the use of seeds can be projected to see the amount of rice production in harbor stone of 47.61%.","PeriodicalId":38172,"journal":{"name":"Journal of Social Research and Policy","volume":"110 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Social Research and Policy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.55324/josr.v2i9.1263","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0
Abstract
This study aims to analyze the factors that influence rice production in Labuhan Batu District. The research was conducted in Labuhanbatu Regency, North Sumatra Province. The determination of the research area was carried out purposively (deliberately) with the consideration that the area of Labuhanbatu Regency was because according to BPS data for 2021, there was a deficit in dry milled rice production and corn production in Labuhanbatu which was not proportional to the population growth. The population in this study were all sub-districts that existed in Labuhanbatu Regency, which totaled 9 sub-districts the method used in sampling was a census, and the selection of samples was taken from 9 sub-districts in Labuhan Batu District. Data analysis in this study used Multiple Regression Analysis (multiple regression) through the Cobb-Dougla function, while the results of this study were that in the study the variable area of land had an effect on rice production because t count > t table (6,184 > 2,010) and a significant level 0.000 < 0.05. In the research, the agricultural sector variable has an effect on rice production because of t-count > t table (3,398 > 2,010) and a significant level of 0.002 <0.05. In the research, the variable fertilizer has an effect on rice production because t-count > t table (5.075 <2.010) and a significant level of 0.000 <0.05. In this study, the seed variable has an effect on rice production because of t-count > t-table (4,341 < 2,010) and a significant level of 0.000 < 0.05. The form of a linear regression model of the Cobb-Douglas production function for the study of factors influencing rice production. Shows the results of (bx1+bx2+bx3+bx4) = 4,761 meaning that in this study the area of land, the contribution of the agricultural sector, the use of fertilizers, and the use of seeds can be projected to see the amount of rice production in harbor stone of 47.61%.
期刊介绍:
Welfare states have made well-being one of the main focuses of public policies. Social policies entail, however, complicated, and sometimes almost insurmountable, issues of prioritization, measurement, problem evaluation or strategic and technical decision making concerning aim-setting or finding the most adequate means to ends. Given the pressures to effectiveness it is no wonder that the last several decades have witnessed the imposition of research-based social policies as standard as well as the development of policy-oriented research methodologies. Legitimate social policies are, in this context, more and more dependent on the accurate use of diagnostic methods, of sophisticated program evaluation approaches, of benchmarking and so on. Inspired by this acute interest, our journal aims to host primarily articles based on policy research and methodological approaches of policy topics. Our journal is open to sociologically informed contributions from anthropologists, psychologists, statisticians, economists, historians and political scientists. General theoretical papers are also welcomed if do not deviate from the interests stated above. The editors also welcome reviews of books that are relevant to the topics covered in the journal.