Mathematical Model of Paddy Production using Cobb Douglas Method Based On Weather Factors
This research was conducted to model paddy production based on weather factors. This needs to be done to predict crop yields and regulate paddy cropping patterns. In setting the cropping pattern, the weather is selected which consists of temperature, wind speed, and rainfall, as a variable factor of...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Universitas Muhammadiyah Mataram
2023-10-01
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| Series: | JTAM (Jurnal Teori dan Aplikasi Matematika) |
| Subjects: | |
| Online Access: | http://journal.ummat.ac.id/index.php/jtam/article/view/15446 |
| _version_ | 1827763092162871296 |
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| author | Riaman Riaman Kankan Parmikanti Betty Subartiny Sudradjat Supian |
| author_facet | Riaman Riaman Kankan Parmikanti Betty Subartiny Sudradjat Supian |
| author_sort | Riaman Riaman |
| collection | DOAJ |
| description | This research was conducted to model paddy production based on weather factors. This needs to be done to predict crop yields and regulate paddy cropping patterns. In setting the cropping pattern, the weather is selected which consists of temperature, wind speed, and rainfall, as a variable factor of production. Meanwhile, other factors (such as fertilization, sunshine, air humidity, etc.) are assumed to be in catteries paribus conditions. The research method used is a mixed method between qualitative methods which are descriptive details and quantitative methods which are based on weather data and Paddy's harvest data. The aim of this research is to analyze the influence of weather on paddy production results. Analysis is done to get the production function. Parameters are estimated using the Ordinary Least Square (OLS) method by minimizing the sum of squared errors. Based on data analysis, a correlation of 0.899 was obtained with a standard error of .051665515. the results of model testing also show significant results with the F statistic obtained at 33.98 with a p-value of 0.028 which is less than 5%. So it can be concluded that there is a significant relationship between weather and paddy productivity. In such a way that the weather can be used as a reference in determining the prediction of loss risk and paddy production. This model can also be recommended for further research, namely to determine insurance losses that may arise when extreme weather events occur. |
| first_indexed | 2024-03-11T10:47:28Z |
| format | Article |
| id | doaj.art-d177cc7f262d485f9d4348d29ab172c9 |
| institution | Directory Open Access Journal |
| issn | 2597-7512 2614-1175 |
| language | English |
| last_indexed | 2024-03-11T10:47:28Z |
| publishDate | 2023-10-01 |
| publisher | Universitas Muhammadiyah Mataram |
| record_format | Article |
| series | JTAM (Jurnal Teori dan Aplikasi Matematika) |
| spelling | doaj.art-d177cc7f262d485f9d4348d29ab172c92023-11-14T03:00:38ZengUniversitas Muhammadiyah MataramJTAM (Jurnal Teori dan Aplikasi Matematika)2597-75122614-11752023-10-017492493510.31764/jtam.v7i4.154467648Mathematical Model of Paddy Production using Cobb Douglas Method Based On Weather FactorsRiaman Riaman0Kankan Parmikanti1Betty Subartiny2Sudradjat Supian3Department of Mathematics, Universitas PadjadjaranDepartment of Mathematics, Universitas PadjadjaranDepartment of Mathematics, Universitas PadjadjaranDepartment of Mathematics, Universitas PadjadjaranThis research was conducted to model paddy production based on weather factors. This needs to be done to predict crop yields and regulate paddy cropping patterns. In setting the cropping pattern, the weather is selected which consists of temperature, wind speed, and rainfall, as a variable factor of production. Meanwhile, other factors (such as fertilization, sunshine, air humidity, etc.) are assumed to be in catteries paribus conditions. The research method used is a mixed method between qualitative methods which are descriptive details and quantitative methods which are based on weather data and Paddy's harvest data. The aim of this research is to analyze the influence of weather on paddy production results. Analysis is done to get the production function. Parameters are estimated using the Ordinary Least Square (OLS) method by minimizing the sum of squared errors. Based on data analysis, a correlation of 0.899 was obtained with a standard error of .051665515. the results of model testing also show significant results with the F statistic obtained at 33.98 with a p-value of 0.028 which is less than 5%. So it can be concluded that there is a significant relationship between weather and paddy productivity. In such a way that the weather can be used as a reference in determining the prediction of loss risk and paddy production. This model can also be recommended for further research, namely to determine insurance losses that may arise when extreme weather events occur.http://journal.ummat.ac.id/index.php/jtam/article/view/15446mathematical modelspaddy productionproduction functionscobb-douglas modelsweather. |
| spellingShingle | Riaman Riaman Kankan Parmikanti Betty Subartiny Sudradjat Supian Mathematical Model of Paddy Production using Cobb Douglas Method Based On Weather Factors JTAM (Jurnal Teori dan Aplikasi Matematika) mathematical models paddy production production functions cobb-douglas models weather. |
| title | Mathematical Model of Paddy Production using Cobb Douglas Method Based On Weather Factors |
| title_full | Mathematical Model of Paddy Production using Cobb Douglas Method Based On Weather Factors |
| title_fullStr | Mathematical Model of Paddy Production using Cobb Douglas Method Based On Weather Factors |
| title_full_unstemmed | Mathematical Model of Paddy Production using Cobb Douglas Method Based On Weather Factors |
| title_short | Mathematical Model of Paddy Production using Cobb Douglas Method Based On Weather Factors |
| title_sort | mathematical model of paddy production using cobb douglas method based on weather factors |
| topic | mathematical models paddy production production functions cobb-douglas models weather. |
| url | http://journal.ummat.ac.id/index.php/jtam/article/view/15446 |
| work_keys_str_mv | AT riamanriaman mathematicalmodelofpaddyproductionusingcobbdouglasmethodbasedonweatherfactors AT kankanparmikanti mathematicalmodelofpaddyproductionusingcobbdouglasmethodbasedonweatherfactors AT bettysubartiny mathematicalmodelofpaddyproductionusingcobbdouglasmethodbasedonweatherfactors AT sudradjatsupian mathematicalmodelofpaddyproductionusingcobbdouglasmethodbasedonweatherfactors |