Penerapan Algoritme Linear Regression untuk Prediksi Hasil Panen Tanaman Padi
Rice yields are very influential in meeting the basic food needs of rice. Because the needs of rice are always rising, it is necessary to predict crop yields to estimate the future planting to meet the basic food needs. The method used in this paper is linear regression algorithm, which can predict...
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| Format: | Article |
| Language: | English |
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Universitas Gadjah Mada
2019-11-01
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| Series: | Jurnal Nasional Teknik Elektro dan Teknologi Informasi |
| Subjects: | |
| Online Access: | http://ejnteti.jteti.ugm.ac.id/index.php/JNTETI/article/view/537 |
| _version_ | 1819168719761309696 |
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| author | Heru Wahyu Herwanto Triyanna Widiyaningtyas Poppy Indriana |
| author_facet | Heru Wahyu Herwanto Triyanna Widiyaningtyas Poppy Indriana |
| author_sort | Heru Wahyu Herwanto |
| collection | DOAJ |
| description | Rice yields are very influential in meeting the basic food needs of rice. Because the needs of rice are always rising, it is necessary to predict crop yields to estimate the future planting to meet the basic food needs. The method used in this paper is linear regression algorithm, which can predict the yield of rice plants. The steps in this research are as follows: (1) data collection through surveys to farmers in Lamongan by giving questionnaires to respondents; (2) pre-processing the data, which is data cleaning; (3) applying linear regression to determine the strength of the relationship between one dependent or dependent variable and a set of independent or independent variables; and (4) results of the validation. Testing accuracy is carried out by measuring Root Mean Squared Error (RMSE). The average value of accuracy of the RMSE is 0.432. This indicates that the variation of values produced by a forecast model is close to accurate, and results in the compatibility of the Multiple Linear Regression Model, with a reliability level of 94.51% |
| first_indexed | 2024-12-22T19:08:05Z |
| format | Article |
| id | doaj.art-3b6a0e7843a740d680babb5f9be0bcc8 |
| institution | Directory Open Access Journal |
| issn | 2301-4156 2460-5719 |
| language | English |
| last_indexed | 2024-12-22T19:08:05Z |
| publishDate | 2019-11-01 |
| publisher | Universitas Gadjah Mada |
| record_format | Article |
| series | Jurnal Nasional Teknik Elektro dan Teknologi Informasi |
| spelling | doaj.art-3b6a0e7843a740d680babb5f9be0bcc82022-12-21T18:15:44ZengUniversitas Gadjah MadaJurnal Nasional Teknik Elektro dan Teknologi Informasi2301-41562460-57192019-11-018410.22146/jnteti.v8i4.537467Penerapan Algoritme Linear Regression untuk Prediksi Hasil Panen Tanaman PadiHeru Wahyu Herwanto0Triyanna Widiyaningtyas1Poppy Indriana2Universitas Negeri MalangUniversitas Negeri MalangUniversitas Negeri MalangRice yields are very influential in meeting the basic food needs of rice. Because the needs of rice are always rising, it is necessary to predict crop yields to estimate the future planting to meet the basic food needs. The method used in this paper is linear regression algorithm, which can predict the yield of rice plants. The steps in this research are as follows: (1) data collection through surveys to farmers in Lamongan by giving questionnaires to respondents; (2) pre-processing the data, which is data cleaning; (3) applying linear regression to determine the strength of the relationship between one dependent or dependent variable and a set of independent or independent variables; and (4) results of the validation. Testing accuracy is carried out by measuring Root Mean Squared Error (RMSE). The average value of accuracy of the RMSE is 0.432. This indicates that the variation of values produced by a forecast model is close to accurate, and results in the compatibility of the Multiple Linear Regression Model, with a reliability level of 94.51%http://ejnteti.jteti.ugm.ac.id/index.php/JNTETI/article/view/537algoritme linear regression; tanaman padi; prediksi; hasil panen |
| spellingShingle | Heru Wahyu Herwanto Triyanna Widiyaningtyas Poppy Indriana Penerapan Algoritme Linear Regression untuk Prediksi Hasil Panen Tanaman Padi Jurnal Nasional Teknik Elektro dan Teknologi Informasi algoritme linear regression; tanaman padi; prediksi; hasil panen |
| title | Penerapan Algoritme Linear Regression untuk Prediksi Hasil Panen Tanaman Padi |
| title_full | Penerapan Algoritme Linear Regression untuk Prediksi Hasil Panen Tanaman Padi |
| title_fullStr | Penerapan Algoritme Linear Regression untuk Prediksi Hasil Panen Tanaman Padi |
| title_full_unstemmed | Penerapan Algoritme Linear Regression untuk Prediksi Hasil Panen Tanaman Padi |
| title_short | Penerapan Algoritme Linear Regression untuk Prediksi Hasil Panen Tanaman Padi |
| title_sort | penerapan algoritme linear regression untuk prediksi hasil panen tanaman padi |
| topic | algoritme linear regression; tanaman padi; prediksi; hasil panen |
| url | http://ejnteti.jteti.ugm.ac.id/index.php/JNTETI/article/view/537 |
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