cover
Contact Name
Jumadi
Contact Email
jumadi@ums.ac.id
Phone
-
Journal Mail Official
forgeo@ums.ac.id
Editorial Address
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Location
Kota surakarta,
Jawa tengah
INDONESIA
Forum Geografi
ISSN : 08520682     EISSN : 24603945     DOI : -
Core Subject : Science,
Forum Geografi, Indonesian Journal of Spatial and Regional Analysis (For. Geo) is an open access, peer-reviewed journal that will consider any original scientific article for expanding the field of geography. The journal publishes articles in both physical and human geography specialties of interest to spatial analysis and regional analysis in (but not limited) Indonesia by applying GIS and/or remote sensing techniques.
Arjuna Subject : -
Articles 12 Documents
Search results for , issue " Vol 17, No 2 (2003)" : 12 Documents clear
Modeling Hot Spot Motor Vehicle Theft Crime in Relation to Landuse and Settlement Patterns Marwasta, Djaka; Suharsono, Suharsono
Forum Geografi Vol 17, No 2 (2003)
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v17i2.533

Abstract

The crowd of Yogyakarta urban has impacted its surrounding area, including Depok sub district, which is indicated by the rising of physical development, for example education facilities and settlements. The progress does not only bring positive impact, but also negative impact for instance the rising of crime number i.e. motor vehicle robbery. The aims of this research are 1) mapping motor vehicle robbery data as the distribution map and identifying motor vehicle robbery hot spot base on distrbution map; and 2) studying the correlation of motor vehicle robbery hot spot with physical environment phenomena, i.e. land use type and settlement pattern. The research method consists of two parts; they are motor vehicle robbery cluster analysis and the relation of motor vehicle robbery and physical environment analysis. Motor vehicle robbery cluster analysis is using distribution data, which analyzes the distribution into motor vehicle robbery hot spot with nearest neighbor tehnique. Contingency coefficient and frequency distribution analysis is used to analyze the correlation of motor vehicle robbery hot spot and physical environment. Contingency coefficient is used to study the relation of motor vehicle robbery hot spot polygon with physical environment condition, whereas frequency distribution is used to study the distribution of motor vehicle robbery in the hot spot with physical environment condition. Physical environment which consists of land use type, housing density, house regularity pattern, and the average of building size, are obtained from interpretation of black and white panchromatic aerial photograph year 2000, in the scale 1 : 20.000. the most motor vehicle robbery hot spot is found on the settlement area, 68,3% from 378 motor vehicle robbery cases in the hot spot. The seond level is found on the education area (16.4%). The most motor vehicle hot spot in the settlement is found on the hight density and irregular settlement, which have big size buildings. The calculation of contingency coefficient shows that there was a significant correlation between motor vehicle robbery hot spot with land use type and settlement pattern, but it has low correlation value. It means that land use type and settlement pattern have weak influence to the hot spot existence.
Aerial Photo Utilization in Estimating Suspended Sediment in the Wuryantoro Watershed, Wonogiri Santoso, Sugiharto Budi; Priyono, Kuswaji Dwi; Anna, Alif Noor
Forum Geografi Vol 17, No 2 (2003)
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v17i2.534

Abstract

Suspended sediment load flowing out from a watershed is normally predicated by analysis os suspended sediment of water sample, and the volume of suspended sediment be calculated based on sediment concentration and river discharge. Such field measurements need a lot of field data and they are time consuming. Another method for prediction of suspended sediment by using remote sensing imagery data and recorded rainfall data. The objective of this research is to 1) examine the capability of remote sensing technique to obtain the parameters of the physical data of land in the prediction of suspended sediment; 2) examine the accuracy of the model for prediction suspended sediment. This research is carried out in Wuryantoro watershed, Wonogiri. The main data to obtain the parameters of the physical data of land is infrared aerial photograph on scale 1 : 10.000. the method that used in this research is interpretation of remote sensing imagery data, combined with rainfall data. The result show that the accuracy of landuse is 88.5%, the accuracy of slope is 87.67%. the accuracy of the prediction of suspended sediment by model A3 87.07%, model C1 86.63%, model C2 90.57%, model A8 84.13%, model A9 80.1%, and model C4 78.6%.

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