Nilai Strategis Komoditas Unggulan Kawasan Perdesaan, Kabupaten Pesisir Selatan, Provinsi Sumatera Barat

Anggarawati, Sari; Suwarnata, Anak Agung Eka

doi:10.31938/agrisintech.v1i2.287

Cited by 2 publications

(1 citation statement)

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“…Superior products are the commodities that will benefit the region if developed sustainably (Setiyanto, 2013;Wahyuningsih et al, 2020). Gross regional domestic product (GRDP) and commodity production and productivity data are references in determining superior commodities in a region (Laila &;Oksatriandhi & Santoso, 2014;Yolamalinda, 2015;Annisa & Santoso, 2019;Suryani et al, 2019;Syahputra et al, 2020;Anggarawati & Suwarnata, 2020).…”

Section: Introductionmentioning

confidence: 99%

Identification of Leading Commodity Areas in the Agricultural Sector Based on Historical Data and Land Suitability

Yanti,

Stiyanto,

Yanti

et al. 2023

JTEP-L

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In determining the utilization of the area, many government regulations have been made from the Central, Provincial, and Regional levels using a production data approach. However, it is getting different results with the same slice. The purpose of the study is to identify areas and determine priority agricultural commodities for food crops, horticulture, and plantation groups in Pasaman Regency. Analytical techniques used in Pasaman Regency are LQ analysis, shift share (SS) analysis, and field observation with a stakeholder approach. Based on the research, it is found that LQ and SS were able to determine the leading commodities of food crops, horticulture, and plantations in Pasaman Regency. The main food crop is corn, with the central development area in Tigo Nagari District. The superior horticultural crops and their development areas are chilies in Panti District and mangoes in Mapat Tunggul. The main plantation crop is rubber in a central development location in South Rao District. Keywords: Featured commodities; Historical data; Production; Land suitability; Pasaman

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Section: Introductionmentioning

confidence: 99%

Identification of Leading Commodity Areas in the Agricultural Sector Based on Historical Data and Land Suitability

Yanti,

Stiyanto,

Yanti

et al. 2023

JTEP-L

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Prediction of Rice Production to Support Food Security in Bogor Regency using Linear Regression and Support Vector Machine (SVM)

Apriani,

Carsono,

Enjat Munajat

2024

Jurnal Teknika

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A prediction is an estimation of something that has not yet occurred. Its purpose is to minimize uncertainty and reduce errors in planning. Bogor Regency, with the largest population in West Java, requires a substantial amount of food. Rice production must meet the consumption needs of the population. To anticipate potential rice shortages, effective planning, and reduced dependence on rice imports, research is needed to predict rice production. This study aims to predict rice production using Linear Regression and Support Vector Machine (SVM) algorithms. Secondary data from the Department of Food Crops and Horticulture, and the Central Statistics Agency (BPS) of Bogor Regency were utilized. Results show that the Linear Regression method outperformed SVM, with MSE 236202.323, RMSE 486.007, MAE 388.712, and R2 1.000. In contrast, SVM yielded MSE 1461472466.751, RMSE 38229.2.10, MAE 303333.535, and R2 -0.065. In conclusion, the prediction using Linear Regression demonstrated better accuracy than SVM. Keywords: Prediction, Algorithm, SVM. Linear Regression.

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Nilai Strategis Komoditas Unggulan Kawasan Perdesaan, Kabupaten Pesisir Selatan, Provinsi Sumatera Barat

Cited by 2 publications

References 0 publications

Identification of Leading Commodity Areas in the Agricultural Sector Based on Historical Data and Land Suitability

Identification of Leading Commodity Areas in the Agricultural Sector Based on Historical Data and Land Suitability

Prediction of Rice Production to Support Food Security in Bogor Regency using Linear Regression and Support Vector Machine (SVM)

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