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InformationVisualizationforTouristand

TravellinginIndonesia

AdityoAshariWirjonol,Z.8.RickyLincolnl,

WilliamI,andDewiAgushintaR.2

InformaticsDepartment,InformationSystem

GunadannaUniversity

JI.MargondaRaya100

Depok,Indonesia

2dewiarCstaff.gunadarma.ac.id

1Introduction

@Springer-VerlagBerlinHeidelberg2011

2RelatedWorks

problem. newInternetGISapplications.

132A.A.Wirjonoetal.

theimageisenlargedorreduced(scalable).

3Methodology

thatareconnectedonearth[6].

3.1CollectingandConversionData

collectingcanbeseeninFig.I. searcht applicat' shortest thegra~' theDij~

Thevall

transpo~ tourist~

Fig.2,

map T~ high' prillq were,

Fig.1.CollectingData

\I I I 1 J !AI,., map highdimensionalspace(usuallyd =50)andthenprojectthE"graphto2Dllsing werecalculatedusingtheseedgeweights.

134A.A.Wirjonoetal.

3.2FindtheShortestPath3.3

arepositivenumbers. touristto thebasis oftourism

Quantum

newmap

SQL.SO

weremadl serverlay calledM want.Ch, mingIan inMap andthe ofphpfl tioncan applicatiil. estroute/<," wanttO J t~enthe mngno informal'. (1) t.':1)lin)~adJacencyl15t.S

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Fig.3.PseudocodeofDijkstra'sAlgorithm.

DesigninganInteractiveMap

were

Fig.5.

~t) 1f~

136A.A.Wirjonoetal.

4.Joni,L.,

gunakan (SNATI

5.Wagner,

p.9

6.Venia

Tourism

7.Prakoso

tion(D

InformaSi!

8.DavidHi

GraphAI

9.Puthup

Fig.5.WebInterfacewithrouteinformation

4Conclusion

toarriveattheirdestinationplace.

References

http://vvv.singaporetouristguide.net/ (SNATI2010),June19,p.4(2010) p.9

Informasi,June20,pp.4(2009)

GraphAlgorithmsandApplications8,20(2004)

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