Repository Universitas Pakuan

Detail Karya Ilmiah Dosen

Arif Wicaksono

Judul : Priority Modeling for Public Urban Park Development in Feasible Locations using GIS, Intuitionistic Fuzzy AHP, and Fuzzy TOPSIS

Abstrak :
As feasible locations of public urban park in Bogor Municipality have been acquired in a previous study,decision makers are urgently needed to be informed on which locations should be prioritized for public urban park(PUP) development. Therefore, this study aggregates four multi-spatial criteria for PUP development prioritymodeling, namely distance to slum neighborhood, accessibility, slope, and land value. These four criteria in formof vector datasets were weighted using intuitionistic fuzzy analytical hierarchy process (IF-AHP) to consider thehesitancy, vagueness, and fuzziness might arise from experts’ judgement as well as from multi-spatial data processing.Resulted criteria weights from IF-AHP show that accessibility weight 0.261, land value weight 0.259, distance toslum weight 0.255, and slope weight 0.225, respectively. Criteria weights were inputted into fuzzy technique fororder preference by similarity to the ideal solution (TOPSIS) and geographic information system (GIS) to ranklocation priority. Results from fuzzy TOPSIS show that very high priority class which has the biggest CCi valuesrange (>0.654-0.76) provides 0.14 km2 area of feasible PUP development scattered in 10 locations. The biggest areafor feasible PUP development is generated by medium priority class (CCi values >0.439-0.546) in 26 locations andapproximately area of 0.38 km2.

Tahun : 2021 Media Publikasi : Jurnal Nasional Terakreditasi A

Kategori : Jurnal No/Vol/Tahun : 4 / 17 / 2021

ISSN/ISBN : 1412-4785

PTN/S : Universitas Pakuan Program Studi : PERENCANAAN WILAYAH & KOTA

Bibliography :
1] A. Wicaksono, Urban Park Suitability Analysis using SpatialMulti-Criteria Fuzzy Logic, PhD Thesis, Nakhon Ratchasima,Thailand: Suranaree University of Technology, 2018.

[2] A. Wicaksono, S. Sarapirome, and S. Dasananda, “Feasiblelocation of public urban park development using DEMATEL-fuzzy-logic multi-criteria analysis”, Journal of Resgat, vol. 19,pp. 39-52, Dec.2018.

[3] M. Qelichi, H. Oroji, and S. Asadi, “Optimum locating of urbanparks and green space using GIS and TOPSIS technique (Casestudy: region six of TEHRAN in IRAN)”, in Proc. InternationalConference of GIS-Users, Taza GISDays, May 23-24, 2012.

[4] M.T. Abebe, and T.L. Megento, “Urban green space developmentusing GIS-based multi-criteria analysis in Addis Ababametropolis”, Appl Geomat, vol. 9, pp. 247-261, Nov. 2017.

[5] G.Büyüközkan, O. FeyzioÄŸlu, and C.A. Havle, “IntuitionisticFuzzy AHP Based Strategic Analysis of Service Quality in DigitalHospitality Industry”, IFAC-PapersOnLine, vol. 52, pp. 1687-1692, 2019.

[6] R. Hernina, Y. Abdurrohim, and A. Wicaksono, “Analisisperingkat lokasi potensial taman Kota Depok di tingkat kecamatanmenggunakan sistem informasi geografis dan TOPSIS”, JurnalPendidikan Geografi, vol. 25, pp. 145–160, June 2020.

[7] Indonesia Statistic Agency, Bogor City in Figures, Bogor,Indonesia: Badan Pusat Statistik, 2021.

[8] A. Jozaghi, B. Alizadeh, M. Hatami, M, I. Flood, M. Khorrami,N. Khodaei, and E. Ghasemi Tousi, “A Comparative Study ofthe AHP and TOPSIS Techniques for Dam Site Selection UsingGIS: A Case Study of Sistan and Baluchestan Province, Iran”,Geosciences, vol.8, pp.1-23, Dec. 2018.

[9] K.T. Atanassov, “Intuitionistic Fuzzy Sets”, Int.J. Bioautomation,vol. 20, pp. S1-S6, 2016.

[10] A. Wicaksono and S. Sarapirome, “Urban park area feasibilityanalysis using fuzzy aggregation of multi-spatial criteria andmulti-expert weights”, in Proc. 12th International Conference onDigital Information Management ICDIM, Fukuoka, Japan, Sept.12-14, 2017.

[11] R.W. Saaty, “The analytic hierarchy process—what it is and howit is used”, Mathematical M161-176, 1987.

[12] Y.A. Solangi, Q. Tan, M.W.A. Khan, N.H. Mirjat, and I. Ahmed,“The selection of wind power project location in the southeasterncorridodelling, vol. 9, pp. or of Pakistan: a factor analysis, AHP, and Fuzzy-TOPSISapplication”, vol. 11, Energies, pp. 1-26, July 2018

[13] Y. Meng, and J. Malczewski, “A GIS-based multicriteria decisionmaking approach for evaluating accessibility to public parks inCalgary, Alberta”, Human Geographies, vol. 9, pp. 29-41, May2015.

[14] A. M. Elmanisa, A. A. Kartiva, A. Fernando, R. Arianto, H.Winarso, and D. Zulkaidi, “Land value mapping of Jabodetabek,Indonesia”, Geoplanning: Journal of Geomatics and Planning,vol. 4, pp. 53-62, March 2017.

[15] A.Y.R. Escalante, D.A. Sandoval, E.V. Bustillos, and C.A.O.O.Zezzati, “A multi-criteria decision making for sustainable locationof urban parks”, Research in Computing Science , vol. 149, pp.5-20, 2020.

URL : http://202.4.186.66/JRE/article/view/23138

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Detail Karya Ilmiah Dosen

Arif Wicaksono

Judul	:	Priority Modeling for Public Urban Park Development in Feasible Locations using GIS, Intuitionistic Fuzzy AHP, and Fuzzy TOPSIS
Abstrak	:	As feasible locations of public urban park in Bogor Municipality have been acquired in a previous study,decision makers are urgently needed to be informed on which locations should be prioritized for public urban park(PUP) development. Therefore, this study aggregates four multi-spatial criteria for PUP development prioritymodeling, namely distance to slum neighborhood, accessibility, slope, and land value. These four criteria in formof vector datasets were weighted using intuitionistic fuzzy analytical hierarchy process (IF-AHP) to consider thehesitancy, vagueness, and fuzziness might arise from experts’ judgement as well as from multi-spatial data processing.Resulted criteria weights from IF-AHP show that accessibility weight 0.261, land value weight 0.259, distance toslum weight 0.255, and slope weight 0.225, respectively. Criteria weights were inputted into fuzzy technique fororder preference by similarity to the ideal solution (TOPSIS) and geographic information system (GIS) to ranklocation priority. Results from fuzzy TOPSIS show that very high priority class which has the biggest CCi valuesrange (>0.654-0.76) provides 0.14 km2 area of feasible PUP development scattered in 10 locations. The biggest areafor feasible PUP development is generated by medium priority class (CCi values >0.439-0.546) in 26 locations andapproximately area of 0.38 km2.
Tahun	:	2021	Media Publikasi	:	Jurnal Nasional Terakreditasi A
Kategori	:	Jurnal	No/Vol/Tahun	:	4 / 17 / 2021
ISSN/ISBN	:	1412-4785
PTN/S	:	Universitas Pakuan	Program Studi	:	PERENCANAAN WILAYAH & KOTA
Bibliography	:	1] A. Wicaksono, Urban Park Suitability Analysis using SpatialMulti-Criteria Fuzzy Logic, PhD Thesis, Nakhon Ratchasima,Thailand: Suranaree University of Technology, 2018. [2] A. Wicaksono, S. Sarapirome, and S. Dasananda, “Feasiblelocation of public urban park development using DEMATEL-fuzzy-logic multi-criteria analysis”, Journal of Resgat, vol. 19,pp. 39-52, Dec.2018. [3] M. Qelichi, H. Oroji, and S. Asadi, “Optimum locating of urbanparks and green space using GIS and TOPSIS technique (Casestudy: region six of TEHRAN in IRAN)”, in Proc. InternationalConference of GIS-Users, Taza GISDays, May 23-24, 2012. [4] M.T. Abebe, and T.L. Megento, “Urban green space developmentusing GIS-based multi-criteria analysis in Addis Ababametropolis”, Appl Geomat, vol. 9, pp. 247-261, Nov. 2017. [5] G.Büyüközkan, O. FeyzioÄŸlu, and C.A. Havle, “IntuitionisticFuzzy AHP Based Strategic Analysis of Service Quality in DigitalHospitality Industry”, IFAC-PapersOnLine, vol. 52, pp. 1687-1692, 2019. [6] R. Hernina, Y. Abdurrohim, and A. Wicaksono, “Analisisperingkat lokasi potensial taman Kota Depok di tingkat kecamatanmenggunakan sistem informasi geografis dan TOPSIS”, JurnalPendidikan Geografi, vol. 25, pp. 145–160, June 2020. [7] Indonesia Statistic Agency, Bogor City in Figures, Bogor,Indonesia: Badan Pusat Statistik, 2021. [8] A. Jozaghi, B. Alizadeh, M. Hatami, M, I. Flood, M. Khorrami,N. Khodaei, and E. Ghasemi Tousi, “A Comparative Study ofthe AHP and TOPSIS Techniques for Dam Site Selection UsingGIS: A Case Study of Sistan and Baluchestan Province, Iran”,Geosciences, vol.8, pp.1-23, Dec. 2018. [9] K.T. Atanassov, “Intuitionistic Fuzzy Sets”, Int.J. Bioautomation,vol. 20, pp. S1-S6, 2016. [10] A. Wicaksono and S. Sarapirome, “Urban park area feasibilityanalysis using fuzzy aggregation of multi-spatial criteria andmulti-expert weights”, in Proc. 12th International Conference onDigital Information Management ICDIM, Fukuoka, Japan, Sept.12-14, 2017. [11] R.W. Saaty, “The analytic hierarchy process—what it is and howit is used”, Mathematical M161-176, 1987. [12] Y.A. Solangi, Q. Tan, M.W.A. Khan, N.H. Mirjat, and I. Ahmed,“The selection of wind power project location in the southeasterncorridodelling, vol. 9, pp. or of Pakistan: a factor analysis, AHP, and Fuzzy-TOPSISapplication”, vol. 11, Energies, pp. 1-26, July 2018 [13] Y. Meng, and J. Malczewski, “A GIS-based multicriteria decisionmaking approach for evaluating accessibility to public parks inCalgary, Alberta”, Human Geographies, vol. 9, pp. 29-41, May2015. [14] A. M. Elmanisa, A. A. Kartiva, A. Fernando, R. Arianto, H.Winarso, and D. Zulkaidi, “Land value mapping of Jabodetabek,Indonesia”, Geoplanning: Journal of Geomatics and Planning,vol. 4, pp. 53-62, March 2017. [15] A.Y.R. Escalante, D.A. Sandoval, E.V. Bustillos, and C.A.O.O.Zezzati, “A multi-criteria decision making for sustainable locationof urban parks”, Research in Computing Science , vol. 149, pp.5-20, 2020.
URL	:	http://202.4.186.66/JRE/article/view/23138