The Geographic Information System Development for Selection of Green Open Space in Urban Densely Area
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Abstract
Utilization of integrated Decision Support System and GIS as one of the intelligent computerized system can be used to help make decisions quickly, accurately, and consistently. This research aims to apply Simple Additive Weighting (SAW) and built application system with ArcGIS platform to determination of urban Green Open Space (GOS) location in densely populated area. The study was conducted in Samarinda City, used secondary data and obtained from the Sanitation and Gardening Agency. Data were collected by survey and interview with experts and using Waterfall Framework for software development method. The research has resulted the priority sequence of GOS location of densely area of Samarinda City. The first priority location is the location under Juanda Flyover Bridge. Research has also developed Web based GIS software application of GOS location determination using SAW technique.
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[1]
F. Agus, “The Geographic Information System Development for Selection of Green Open Space in Urban Densely Area”, INFOTEL, vol. 10, no. 3, pp. 125-130, Aug. 2018.
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References
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[9] Hong, N. T., Thi, P., Truc, T., Liem, N. D. & Loi, N. K. Optimal Selection of Number and Location of Meteo-Hydrological Monitoring Networks on Vu Gia – Thu Bon River Basin using GIS. 6, 324–328, 2016.
[10] Mulyanto and Wardoyo, R. Group Decision Support System for Selection Green Open Space using AHP-TOPSIS Method (Case: Local Government of Samarinda City). Computer Science Thesis, Gajah Mada University, 2016. Available http://etd.repository.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=94950&obyek_id=4
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[13] Aronoff, Stanley Geographic information systems: a management perspective. WDL Publications, Ottawa, Ont., Canada, 1993.
[14] Agus, Fahrul, DedyFuadi, & Yunizar Fahmi Badron. " Sistem Informasi Geografi untuk Simulasi Rute Penerbangan Virtual." JURNAL INFOTEL[Online], 9.1 (2017): 9-17. Web. 10 Jul. 2018.
[15] Sasmito, Ginanjar, & Fuad Hadiansah. " Implementasi Location Based Service Rute Objek Wisata Tegal." JURNAL INFOTEL [Online], 7.2 (2015): 107-112. Web. 10 Jul. 2018.
[16] López-Mosquera, N., Sánchez, M., 2011. Emotional and satisfaction benefits to visitors as explanatory factors in the monetary valuation of environmental goods. An application to periurban green spaces. Land Use Policy 28 (1), 151–166.
[17] Yung, E.H.K., Conejos, S. & Chan, E.H.W., 2016. Public open spaces planning for the elderly: The case of dense urban renewal districts in Hong Kong. Land Use Policy, 59, pp.1–11. Available at: http://dx.doi.org/10.1016/j.landusepol.2016. 08.022.
[2] Prance, G.T. & Dixon, Geoffrey & E. Aldous, David. (2013). Biodiversity and Green Open Space. Horticulture: Plants for People and Places. 2. 787-816. 10.1007/978-94-017-8581-5_9.
[3] Govindarajulu, D. Urban Green Space Planning for Climate Adaptation in Indian Cities. Urban Climate.Volume 10part 1, 35–41. 2014.
[4] Lee, A. C. K., Jordan, H. C. & Horsley, J. Value of Urban Green Spaces in Promoting Healthy Living and Wellbeing: Prospects for Planning. Risk Management and Healthcare Policy, 2015.Aug 27:8:131-7.
[5] Yung, E. H. K., Conejos, S. & Chan, E. H. W. Public open space planning for the elderly: the case of dense urban renewal districts in Hong Kong. Land use policy. Volume 59, pp. 1–11 2016.
[6] Fahrul, A. Individual Decision Model for Urban Regional Land Planning. ICITACEE Proceeding, IEEEXplore, 2014.
[7] Sholeh, R., Agus, F., Hatta, H. R. & Munawwarah, T. ICITACEE 2014 – Proceedings, pp. 129–132, 2015.
[8] Chabuk, A. J., Al-Ansari, N., Hussain, H. M., Knutsson, S. & Pusch, R. GIS-Based Assessment of Combined AHP and SAW Methods for Selecting Suitable Sites for Landfill in Al-Musayiab Qadhaa, Babylon, Iraq. Environ. Earth Sci.Volume 76, pp. 209, 2017.
[9] Hong, N. T., Thi, P., Truc, T., Liem, N. D. & Loi, N. K. Optimal Selection of Number and Location of Meteo-Hydrological Monitoring Networks on Vu Gia – Thu Bon River Basin using GIS. 6, 324–328, 2016.
[10] Mulyanto and Wardoyo, R. Group Decision Support System for Selection Green Open Space using AHP-TOPSIS Method (Case: Local Government of Samarinda City). Computer Science Thesis, Gajah Mada University, 2016. Available http://etd.repository.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=94950&obyek_id=4
[11] Pranolo, A. & Widyastuti, S. M. Proceeding - 2014 Int. Conf. Comput. Control. Informatics Its Appl. ‘New Challenges Oppor. Big Data’, IC3INA 2014, pp. 132–135, 2014.
[12] Georgiou, A. & Skarlatos, D. Geosci. Instrumentation, Methods Data Syst.Vol. 5, pp. 321–332, 2016.
[13] Aronoff, Stanley Geographic information systems: a management perspective. WDL Publications, Ottawa, Ont., Canada, 1993.
[14] Agus, Fahrul, DedyFuadi, & Yunizar Fahmi Badron. " Sistem Informasi Geografi untuk Simulasi Rute Penerbangan Virtual." JURNAL INFOTEL[Online], 9.1 (2017): 9-17. Web. 10 Jul. 2018.
[15] Sasmito, Ginanjar, & Fuad Hadiansah. " Implementasi Location Based Service Rute Objek Wisata Tegal." JURNAL INFOTEL [Online], 7.2 (2015): 107-112. Web. 10 Jul. 2018.
[16] López-Mosquera, N., Sánchez, M., 2011. Emotional and satisfaction benefits to visitors as explanatory factors in the monetary valuation of environmental goods. An application to periurban green spaces. Land Use Policy 28 (1), 151–166.
[17] Yung, E.H.K., Conejos, S. & Chan, E.H.W., 2016. Public open spaces planning for the elderly: The case of dense urban renewal districts in Hong Kong. Land Use Policy, 59, pp.1–11. Available at: http://dx.doi.org/10.1016/j.landusepol.2016. 08.022.