| dc.contributor.advisor | Darnius, Open | |
| dc.contributor.author | Panjaitan, Chintiya Anisa | |
| dc.date.accessioned | 2024-01-15T06:50:41Z | |
| dc.date.available | 2024-01-15T06:50:41Z | |
| dc.date.issued | 2023 | |
| dc.identifier.uri | https://repositori.usu.ac.id/handle/123456789/90187 | |
| dc.description.abstract | Background: North Sumatra has diverse characteristics of each region.
Objective: This study aims to determine the grouping of districts/cities so that the North Sumatra provincial government can make policies and distribute social assistance proportionally to groups of districts/cities that match the criteria.
Methods: Poverty clustering of districts/cities in North Sumatra Province uses the Euclidean Distance method with the Average Linkage clustering method. Using the Average Linkage method will be grouped into 2 clusters.
Result: Cluster 1 is a cluster with a high poverty rate with 5 districts/cities. Cluster 2 is a cluster with a low poverty rate with 28 districts/cities.
Conclusion: Poverty indicator characteristics are higher in districts/cities in cluster 1 compared to other districts/cities. | en_US |
| dc.language.iso | id | en_US |
| dc.publisher | Universitas Sumatera Utara | en_US |
| dc.subject | Average Linkage | en_US |
| dc.subject | Cluster | en_US |
| dc.subject | Euclidean Distance | en_US |
| dc.subject | Poverty | en_US |
| dc.subject | SDGs | en_US |
| dc.title | Pengelompokan Kabupaten/Kota di Sumatera Utara Berdasarkan Indikator Kemiskinan dengan Menggunakan Analisis Klaster (Cluster Analysis) | en_US |
| dc.type | Thesis | en_US |
| dc.identifier.nim | NIM202407005 | |
| dc.identifier.nidn | NIDN0014106403 | |
| dc.identifier.kodeprodi | KODEPRODI49401#Statistika | |
| dc.description.pages | 58 Halaman | en_US |
| dc.description.type | Kertas Karya Diploma | en_US |
