Totok Gunawan
Fakultas Geografi Universitas Gadjah Mada

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PENGEMBANGAN METODE BANGKITAN DAN TARIKAN PERJALANAN BERDASARKAN CITRA QUICKBIRD Qadriathi Dg Bau; Hartono Hartono; Danang Parikesit; Totok Gunawan
Jurnal Transportasi Vol. 13 No. 2 (2013)
Publisher : Forum Studi Transportasi antar Perguruan Tinggi (FSTPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (900.031 KB) | DOI: 10.26593/jtrans.v13i2.530.%p

Abstract

As a basic model, trip generation model aims to obtain the number of movement generated by each origin and the one attracted to each destination zone. Based on the movement, trip generation model is categorized into home-based trip generation and non home-originated/destinated trip attraction. Given that the different types of activities attract trips with different characteristics, it can be concluded that land use management determines the movement and activities. Remote sensing imagery has been extensively used in various research themes including land use management or land use and detailed land utility. As one of the remote sensing imageries, Quickbird imagery is advantageous with its high spatial resolution which is 0.61 cm. Therefore, it is interesting to apply the 0.61 cm spatial resolution to the trip generation model to estimate the number of trips at the trip generation. This aims is to minimize field activities which are high cost, extensive workers, and relatively time consuming.Keywords: trip generation model, trip attraction, quickbird imagery
Pemanfaatan Citra Penginderaan Jauh dan Sistem Informasi Geografis untuk Pemetaan Daerah Rawan Demam Berdarah Dengue (Studi Kasus di Kecamatan Pangandaran Kabupaten Ciamis Provinsi Jawa Barat) Andri Ruliansyah; Totok Gunawan; Sugeng Juwono M
ASPIRATOR - Journal of Vector-borne Disease Studies Vol 3 No 2 (2011): Jurnal Aspirator Volume 3 Nomor 2 2011
Publisher : Loka Litbang Kesehatan Pangandaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1218.523 KB)

Abstract

Abstract. Dengue hemorrhagic fever (DHF) are acute febrile diseases, found in tropical andsubtropical regions, caused by dengue virus of the genus Flavivirus, family Flaviviridae. Subdistrict Pangandaran is an area that is quite a sharp increase in his case. Ranging from nocases in the period 1998-2002 increased 1 case in 2003, 4 cases in 2004, 22 cases in 2005,35 cases in 2006, 10 cases in 2007, 12 cases in 2008, 14 cases in 2009 and 13 cases in 2010.The purpose of this study was to determine the ability of remote sensing imagery and GIS inthe determination of physical environmental factors for the mapping of areas prone to denguefever, dengue fever spreads are based on the distribution of cases, places, and timesfrom 2005 through to 2010 and determine the level of vulnerability to dengue based on environmentalvariables and incidence of DHF. This study is an observational research withcross sectional analysis approach. The results showed that the integration of remote sensingimagery and GIS to analyze the physical environmental risk factors associated with thespread of dengue include: land use, altitude, rainfall, area mosquito and fly larvae densityarea. Distribution pattern of dengue in the district during the last 6 years Pangandaran concentratedin the southern region of Pangandaran sub-district, the Pangandaran village,Pananjung and Babakan. Distribution of cases based on patient characteristics dominatedin the groups of children and adolescents, while based on gender, women are more exposedcases compared to male. Incidence of dengue fever occur each after a decline in rainfallfrom the previous month and decreased at the back there was an increase of rainfall. Zoninglevel of vulnerability to dengue were in the southern district of Pangandaran, the village ofPangandaran, Babakan, Pananjung, Wonoharjo and Most Sukahurip. Broad zone of highvulnerability areas in the Pangandaran sub-district DHF is 22.76 km2 (30.07%), wide areazone vulnerability is 46.16 km2 (60.99%) and broad zones of high vulnerability area 6.75km2 (8.94%).