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JT - Jurnal Transformatika - Vol. 19 Issue. 1 (2021)

Implementasi Data Mining Untuk Estimasi Produktivitas Kacang Hijau Dengan Menggunakan Algoritma Regresi Linier Di Kabupaten Grobogan

Yulinda Kusumaningrum, Siti Asmiatun, Astrid Novita Putri,



Abstract

The Grobogan Regency Agriculture Service is an agency that operates in the agricultural sector. One of the crop commodities in Grobogan Regency is green beans. Judging from the results obtained each year, green bean production in Grobogan Regency is inconsistent. The rise and fall of green bean productivity is influenced by several factors. Factors such as area, production, number of farmers and productivity can be estimated to determine the production of green beans in Grobogan Regency. Therefore, using the Multiple Linear Regression algorithm is expected to help to obtain results on how much green bean production is in Grogoban Regency as a reference for farmers to increase their green bean harvest each year. Based on the calculation results, it was found that the estimated productivity of green beans in Grobogan Regency reached 760.8297302 Tons/Ha, whereas previously the land was 865 Hectares (Ha) Keywords: data mining, linear regression, estimation, productivity, green beans







Publisher :

Universitas Semarang

DOI :


Sitasi :

0

PISSN :

1693-3656

EISSN :

2460-6731

Date.Create Crossref:

17-Mar-2025

Date.Issue :

11-Jul-2021

Date.Publish :

11-Jul-2021

Date.PublishOnline :

11-Jul-2021



PDF File :

Resource :

Open

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