THE APPLICATION OF SIMPLE ALGORITHM LINEAR REGRESSION ON THE CASSAVA PLANT OF NORTH SEA LAMPUNG

Dwi Marisa

Abstract


Cassava is one of the types of crops can be planted in a tropics .Cassava is one of the main plantations are favored in the area .Of the cassava plant is the chief ingredient of flour sago currently prices decline .The condition of the production or supply of flour berlimpahnya sago tapioca being merely a result will increase farmers planting on cassava. o the increasing number of planting cassava on the estate farmers caused the price of cassava received by farmers not sesuai.sehingga to the needs of making flour sago or tapioca often there is an excess of in buy raw materials singkong.hal this led many cassava foul and factory buy cassava with a low price. Based on the issue so the study is done using data mining who modeled with algorithm linear regression multiple aimed at mengestimasikan the number of flour sago or tapioca capable of produced , so that in the future able to increase the balance between amount of supply cassava and production tapioca . Variable used in anlaisis linear regression is and the independent variable dependent variable .Data from the being dependent variable is the number of tapioca ( kg ) who symbolized with a y and the independent variable is that cassava grinded symbolized with x . From the results obtained with an accuracy of 95% confidence level, then theobtained coefficient of determination (R2) is 1.00. While the results of the estimation are almost approaching unlike an actual data value, with an average error of 0.00.

Keywords: sugar production, data mining, determination, simple linear, independent, dependent

 


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ICSTIEM: International Conference on Sosial Technological, Innovation, Economics and Management, Penerbit Fakultas Ilmu Sosial dan Ilmu Politik (http://www.jurnal.saburai.ac.id/index.php/ICSTIEM/index).