Analisis Nilai Lahan dan Harga Lahan Kecamatan Colomadu Kabupaten Karanganyar Menggunakan Penginderaan Jauh dan Aplikasi SIG

Saputra, Gilang Ardi and , Ir. Taryono, M. Si (2019) Analisis Nilai Lahan dan Harga Lahan Kecamatan Colomadu Kabupaten Karanganyar Menggunakan Penginderaan Jauh dan Aplikasi SIG. Skripsi thesis, Universitas Muhammadiyah Surakarta.

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Abstract

Population density increases every year in Colomadu Sub district, it affect on population need of land it also caused significant increase land value and land price, additional factor such as regional development from economy, facilities, accessibility and other aspects so that the attractiveness of the region becomes higher. Research method using survey method with stratified sampling and purposive sampling, stratified sampling is used for land prices in every class of land values, and purposive sampling is used for image digitizing validation. The method of analysis is using quantitative overlay method by using 4 parameters as well as landuse, positive accessibility, negative accessibility, public utilities. The results of research are land values distribution map divided into 3 classes, land prices distribution and suitability between land values and land prices. High land value is about 6,663 km2 or with percentage 43,03 %; medium land value is about 2,276 km2 or 14,56 %; and low land value is 6,729 km2or 43,03 %. High class land prices is about Rp 5.651.000,00 – Rp 10.000.000,00 ; medium class land prices Rp 2.551.000,00 – Rp 5.650.000,00 and low class land prices is about Rp 500.000,00 – Rp 2.550.000,00. The suitability area between land values and land prices is 10,038 km2 or 64,18 % and the unsuitability area is 5,602 km2 or 35,82 %. The most influential factor in high class land value and medium class land value is land use, while the factor for low class land value is negative accessibility. Keywords : Land Value, Geographic Information System, Remote Sensing, The Most Influential Factors.

Item Type:	Karya ilmiah (Skripsi)
Uncontrolled Keywords:	Keywords : Land Value, Geographic Information System, Remote Sensing, The Most Influential Factors.
Subjects:	G Geography. Anthropology. Recreation > G Geography (General)
Divisions:	Fakultas Geografi > Geografi Fakultas Geografi > Geografi Fakultas Geografi > Geografi
Depositing User:	GILANG ARDI SAPUTRA
Date Deposited:	14 May 2019 01:50
Last Modified:	14 May 2019 02:55
URI:	http://eprints.ums.ac.id/id/eprint/72759

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