ANALISIS DISKRIMINAN LINIER UNTUK KLASIFIKASI KABUPATEN/KOTA DI PROVINSI RIAU BERDASARKAN INDIKATOR INDEKS PEMBANGUNAN MANUSIA
dc.contributor.author | Hudri, Ghemala Huriani | |
dc.contributor.supervisor | Harison, Harison | |
dc.date.accessioned | 2022-03-15T03:59:55Z | |
dc.date.available | 2022-03-15T03:59:55Z | |
dc.date.issued | 2021-11 | |
dc.description.abstract | Riau Province consists of 12 districts/cities where the Human Development Index (HDI) in this province continues to progress. In 2015-2019 HDI grew up to an average of 0.75%, in 2019 the highest HDI was in Pekanbaru city at 81.35 and the lowest was in Meranti Islands district at 65.93. This study aims to examine the variables that are thought to have an effect on the classification of districts/cities in Riau Province into low, medium, high and very high HDI categories using linear discriminant analysis. This study uses five variables that are thought to have an effect, this study shows that the linear discriminant function formed is significant and the level of accuracy of the linear discriminant function formed is accurate with a validation level of 91.6%. | en_US |
dc.description.sponsorship | Jurusan Matematika Fakultas Matematika Dan Ilmu Pengetahuan Alam Universitas Riau | en_US |
dc.identifier.other | wahyu sari yeni | |
dc.identifier.uri | https://repository.unri.ac.id/handle/123456789/10501 | |
dc.language.iso | en | en_US |
dc.publisher | perpustakaan UR | en_US |
dc.subject | Human development index | en_US |
dc.subject | discriminant analysis | en_US |
dc.subject | linear discriminant analysis | en_US |
dc.title | ANALISIS DISKRIMINAN LINIER UNTUK KLASIFIKASI KABUPATEN/KOTA DI PROVINSI RIAU BERDASARKAN INDIKATOR INDEKS PEMBANGUNAN MANUSIA | en_US |
dc.type | Article | en_US |
Files
Original bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- GHEMALA HURIANI HUDRI_compressed.pdf
- Size:
- 227.61 KB
- Format:
- Unknown data format
- Description:
- artikel
License bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- license.txt
- Size:
- 1.71 KB
- Format:
- Item-specific license agreed upon to submission
- Description: