IDENTIFIKASI LOKASI KLUSTER DAN DINAMIKA INDUSTRI KECIL DAN MENENGAH (IKM) DI KALIMANTAN TENGAH, 2005-2009
This study aims to identify the location of clusters of Small and Medium Industries (SMI), the main industries that determines the classification based on SME clusters in 14 districts / cities in Central Kalimantan Province. The data used are secondary data from the BPS data of Central Kalimantan pr...
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| Format: | Thesis |
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[Yogyakarta] : Universitas Gadjah Mada
2011
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| author | , Fahmy Fauzy , Prof. Dr. Mudrajad Kuncoro, M.Soc.Sc. |
| author_facet | , Fahmy Fauzy , Prof. Dr. Mudrajad Kuncoro, M.Soc.Sc. |
| author_sort | , Fahmy Fauzy |
| collection | UGM |
| description | This study aims to identify the location of clusters of Small and Medium
Industries (SMI), the main industries that determines the classification based on
SME clusters in 14 districts / cities in Central Kalimantan Province. The data used
are secondary data from the BPS data of Central Kalimantan province and the raw
data from the Office of Industry and Commerce of Central Kalimantan over the
period of 2005-2009.
The research used Geographic Information Systems (GIS), Pearson
correlation test and Spearman-Rank, Static Location Quotient (SLQ), and
Dynamic Location Quotient (DLQ) and discriminant analysis.
The analysis showed the SMI clusters have been concentrating
geographically in West Kotawaringin, Municipality of Palangka Raya, Pulang
Pisau Regency, and Kapuas Regency. Leading subsectors employment based in
ISIC 31 are North Barito Regency, Sukamara, Lamandau, Seruyan, Gunung Mas,
East Kotawaringin and East Barito Regency. ISIC 33 has been clustered in the
West Kotawaringin Regency, Katingan Regency, the City of Palangka Raya,
Pulang Pisau Regency, Gunung Mas and East Barito Regency. ISIC 36 has been
clustered in North Barito regency and East Barito. ISIC 38 excels in East
Kotawaringin and North Barito regency. Based on discriminant analysis, four
predictor variables in Central Kalimantan between 2005 and 2009 were wages,
population, age of firm, and labor productivity. The finding indicates that
population is the best predictor in distinguishing clusters and non-industrial SMI. |
| first_indexed | 2024-03-13T22:09:03Z |
| format | Thesis |
| id | oai:generic.eprints.org:90000 |
| institution | Universiti Gadjah Mada |
| last_indexed | 2024-03-13T22:09:03Z |
| publishDate | 2011 |
| publisher | [Yogyakarta] : Universitas Gadjah Mada |
| record_format | dspace |
| spelling | oai:generic.eprints.org:900002014-08-20T02:51:26Z https://repository.ugm.ac.id/90000/ IDENTIFIKASI LOKASI KLUSTER DAN DINAMIKA INDUSTRI KECIL DAN MENENGAH (IKM) DI KALIMANTAN TENGAH, 2005-2009 , Fahmy Fauzy , Prof. Dr. Mudrajad Kuncoro, M.Soc.Sc. ETD This study aims to identify the location of clusters of Small and Medium Industries (SMI), the main industries that determines the classification based on SME clusters in 14 districts / cities in Central Kalimantan Province. The data used are secondary data from the BPS data of Central Kalimantan province and the raw data from the Office of Industry and Commerce of Central Kalimantan over the period of 2005-2009. The research used Geographic Information Systems (GIS), Pearson correlation test and Spearman-Rank, Static Location Quotient (SLQ), and Dynamic Location Quotient (DLQ) and discriminant analysis. The analysis showed the SMI clusters have been concentrating geographically in West Kotawaringin, Municipality of Palangka Raya, Pulang Pisau Regency, and Kapuas Regency. Leading subsectors employment based in ISIC 31 are North Barito Regency, Sukamara, Lamandau, Seruyan, Gunung Mas, East Kotawaringin and East Barito Regency. ISIC 33 has been clustered in the West Kotawaringin Regency, Katingan Regency, the City of Palangka Raya, Pulang Pisau Regency, Gunung Mas and East Barito Regency. ISIC 36 has been clustered in North Barito regency and East Barito. ISIC 38 excels in East Kotawaringin and North Barito regency. Based on discriminant analysis, four predictor variables in Central Kalimantan between 2005 and 2009 were wages, population, age of firm, and labor productivity. The finding indicates that population is the best predictor in distinguishing clusters and non-industrial SMI. [Yogyakarta] : Universitas Gadjah Mada 2011 Thesis NonPeerReviewed , Fahmy Fauzy and , Prof. Dr. Mudrajad Kuncoro, M.Soc.Sc. (2011) IDENTIFIKASI LOKASI KLUSTER DAN DINAMIKA INDUSTRI KECIL DAN MENENGAH (IKM) DI KALIMANTAN TENGAH, 2005-2009. UNSPECIFIED thesis, UNSPECIFIED. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=52368 |
| spellingShingle | ETD , Fahmy Fauzy , Prof. Dr. Mudrajad Kuncoro, M.Soc.Sc. IDENTIFIKASI LOKASI KLUSTER DAN DINAMIKA INDUSTRI KECIL DAN MENENGAH (IKM) DI KALIMANTAN TENGAH, 2005-2009 |
| title | IDENTIFIKASI LOKASI KLUSTER
DAN DINAMIKA INDUSTRI KECIL DAN MENENGAH (IKM)
DI KALIMANTAN TENGAH, 2005-2009 |
| title_full | IDENTIFIKASI LOKASI KLUSTER
DAN DINAMIKA INDUSTRI KECIL DAN MENENGAH (IKM)
DI KALIMANTAN TENGAH, 2005-2009 |
| title_fullStr | IDENTIFIKASI LOKASI KLUSTER
DAN DINAMIKA INDUSTRI KECIL DAN MENENGAH (IKM)
DI KALIMANTAN TENGAH, 2005-2009 |
| title_full_unstemmed | IDENTIFIKASI LOKASI KLUSTER
DAN DINAMIKA INDUSTRI KECIL DAN MENENGAH (IKM)
DI KALIMANTAN TENGAH, 2005-2009 |
| title_short | IDENTIFIKASI LOKASI KLUSTER
DAN DINAMIKA INDUSTRI KECIL DAN MENENGAH (IKM)
DI KALIMANTAN TENGAH, 2005-2009 |
| title_sort | identifikasi lokasi kluster dan dinamika industri kecil dan menengah ikm di kalimantan tengah 2005 2009 |
| topic | ETD |
| work_keys_str_mv | AT fahmyfauzy identifikasilokasiklusterdandinamikaindustrikecildanmenengahikmdikalimantantengah20052009 AT profdrmudrajadkuncoromsocsc identifikasilokasiklusterdandinamikaindustrikecildanmenengahikmdikalimantantengah20052009 |