CLUSTERING GEOGRAPHICAL CHARACTERISTICS ARCHIPELAGIC PROVINCE FOR MARINE TOURISM DEVELOPMENT

This research formulates the classification of geographical characteristics archipelagic province for marine tourism development. The geographical characteristics chosen are the water area, land area, number of islands, depth, tides, coastline, and rainfall conditions. The Principal Component Analys...

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Main Author: Setiawan, Firman
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/40336
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:40336
spelling id-itb.:403362019-07-01T15:48:57ZCLUSTERING GEOGRAPHICAL CHARACTERISTICS ARCHIPELAGIC PROVINCE FOR MARINE TOURISM DEVELOPMENT Setiawan, Firman Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/40336 This research formulates the classification of geographical characteristics archipelagic province for marine tourism development. The geographical characteristics chosen are the water area, land area, number of islands, depth, tides, coastline, and rainfall conditions. The Principal Component Analysis (PCA) method is used for the simplification of variables that facilitate interpretation in the analysis of clusters with the PCA biplot. The results of this study are geographical characteristics that could explain and clustering the provincial, with 2 (two) cluster of 11 provinces indicating the acrchipelagic province that is very potentially for marine tourism development. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description This research formulates the classification of geographical characteristics archipelagic province for marine tourism development. The geographical characteristics chosen are the water area, land area, number of islands, depth, tides, coastline, and rainfall conditions. The Principal Component Analysis (PCA) method is used for the simplification of variables that facilitate interpretation in the analysis of clusters with the PCA biplot. The results of this study are geographical characteristics that could explain and clustering the provincial, with 2 (two) cluster of 11 provinces indicating the acrchipelagic province that is very potentially for marine tourism development.
format Theses
author Setiawan, Firman
spellingShingle Setiawan, Firman
CLUSTERING GEOGRAPHICAL CHARACTERISTICS ARCHIPELAGIC PROVINCE FOR MARINE TOURISM DEVELOPMENT
author_facet Setiawan, Firman
author_sort Setiawan, Firman
title CLUSTERING GEOGRAPHICAL CHARACTERISTICS ARCHIPELAGIC PROVINCE FOR MARINE TOURISM DEVELOPMENT
title_short CLUSTERING GEOGRAPHICAL CHARACTERISTICS ARCHIPELAGIC PROVINCE FOR MARINE TOURISM DEVELOPMENT
title_full CLUSTERING GEOGRAPHICAL CHARACTERISTICS ARCHIPELAGIC PROVINCE FOR MARINE TOURISM DEVELOPMENT
title_fullStr CLUSTERING GEOGRAPHICAL CHARACTERISTICS ARCHIPELAGIC PROVINCE FOR MARINE TOURISM DEVELOPMENT
title_full_unstemmed CLUSTERING GEOGRAPHICAL CHARACTERISTICS ARCHIPELAGIC PROVINCE FOR MARINE TOURISM DEVELOPMENT
title_sort clustering geographical characteristics archipelagic province for marine tourism development
url https://digilib.itb.ac.id/gdl/view/40336
_version_ 1821998061283442688