METODE REGRESI TRANSFORMASI LOGARITMIK NATURAL PADA VARIABEL NILAI EKSPOR DI PROVINSI RIAU

Simple item page
dc.contributor.authorFachri, Irfan
dc.contributor.supervisorEfendi, Rustam
dc.date.accessioned2021-10-19T02:30:18Z
dc.date.available2021-10-19T02:30:18Z
dc.date.issued2021-03
dc.description.abstractRiau's export is dominated by non-oil and gas, especially in agriculture. Export in agriculture is a commodity of crude palm oil and its derivatives. Natural rubber is also one of the export commodities in Riau Province. The factors tested in this study are plantation sectors that become export commodities such as the amount of palm oil production, the amount of dry rubber production, and other factors namely foreign exchange rates. The method used is the logarithmic transformation regression method. In the evaluation of the forecasting results used mape value (Mean Absolute Percentage Error). The MAPE value in the multiple regression method is 46.91366 %, and the MAPE value on the regression method is multiple with a logarithmic transformation of the response variable of 52.69479%. The smaller the MAPE value, the smaller the forecast error rate. At the level of forecasting error that multiple regression is better than multiple regression with logarithmic transformation of the response variableen_US
dc.description.sponsorshipJurusan Matematika Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Riauen_US
dc.identifier.otherwahyu sari yeni
dc.identifier.urihttps://repository.unri.ac.id/handle/123456789/10266
dc.language.isoenen_US
dc.subjectExport valueen_US
dc.subjectmultiple regressionen_US
dc.subjectlogarithmic transformationen_US
dc.subjectMAPEen_US
dc.titleMETODE REGRESI TRANSFORMASI LOGARITMIK NATURAL PADA VARIABEL NILAI EKSPOR DI PROVINSI RIAUen_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Irfan Fachri_compressed.pdf
Size:
221.9 KB
Format:
Unknown data format
Description:
artikel
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Mathematics