Green Open Space Priority Modelling Using GIS Analysis in West Jakarta

https://doi.org/10.22146/ijg.68184

Prama Ardha Aryaguna(1*), Ghefra Rizkan Gaffara(2), Dayu Ariesta Kirana Sari(3), Ade Arianto(4)

(1) Faculty of Engineering, Universitas Esa Unggul, Indonesia
(2) Faculty of Engineering, Universitas Esa Unggul, Indonesia
(3) Faculty of Engineering, Universitas Esa Unggul, Indonesia
(4) Faculty of Engineering, Universitas Esa Unggul, Indonesia
(*) Corresponding Author

Abstract


Green open space is one of the most important land uses, especially in densely populated urban areas. Public Green Open Land in each area regulated in Law No. 1 of 2007 is at least 20%. Based on data from the Department of Creative Works, Land and Spatial Planning as well as the Environment Agency of DKI Jakarta, West Jakarta's Green open space asset area is 277.45 Ha of the total area of West Jakarta, which is 12543 Ha. There is a need for a study to determine the potential land for green open space in West Jakarta to catch up on the fulfillment of public green open space based on spatial and regional analysis. One of the GIS-based methods that can be used to determine potential green open space is the decision tree method. This method uses AHP analysis in its formulation based on experts in the relevant agencies. In total there are 8 parameters that influence in determining potential green open space in West Jakarta, namely flood risk, air quality, population, distance to roads, distance to water sources, building density and distance to green open space assets. The modeling results are divided into five classes ranging from very priority to not priority. The total area of land that is much prioritized to be used as green open space is 95.57 hectares spread out. The modeling results show that there are still potential lands to be used as green open spaces in West Jakarta.


Keywords


Remote Sensing; Open Green Space; Geographic Information System

Full Text:

PDF


References

Abebe, M. T., and Megento, T. L. (2017). Urban Green Space Development using GIS-Based Multi-Criteria Analysis in Addis Ababa Metropolis. Applied Geomatics, 9(4), 247–261. https://doi.org/10.1007/s12518-017-0198-7

Aryaguna, P. A., Gromiko, H. M. A., and Pratiwi, K. (2022). Study of Potential Locations of Green Open Space Based on Procurement Convenience in West Jakarta. Jurnal Geografi, 14(1), 22. https://doi.org/10.24114/jg.v14i1.27520

Babalola, M. (2018). Application of GIS-Based Multi-Criteria Decision Technique in Exploration of Suitable Site Options for Anaerobic Digestion of Food and Biodegradable Waste in Oita City, Japan. Environments, 5(7), 77. https://doi.org/10.3390/environments5070077

Chandio, I. A., Matori, A.-N., Lawal, D. U., and Sabri, S. (2011). GIS- based Land Suitability Analysis Using AHP for Public Parks Planning in Larkana City. Modern Applied Science, 5(4). https://doi.org/10.5539/mas.v5n4p177

Dewi, A. S. (2018). Analisis Ruang Terbuka Hijau Dan Arahan Rencana Pengembangannya Di Kota Bandung Provinsi Jawa Barat.

Manlun, Y. (2003). Suitability Analysis of Urban Green Space System Based on GIS. International Institute for Geo-Information Science and Earth Observation Enschede, The Netherland.

Nawangsari, G. M., and Mussadun, M. (2018). Hubungan Keberadaan Ruang Terbuka Hijau dengan Kualitas Udara di Kota Semarang. RUANG: Jurnal Perencanaan Wilayah Dan Kota, 4(1), 11–20.

Nuryuningsih, N., Syuaib, M., and Rahim, R. (2021). Efektivitas Ruang Terbuka Publik Sebagai Titik Kumpul Bencana di Kelurahan Maccini Sombala, Sulawesi Selatan. TEKNOSAINS: Media Informasi Sains Dan Teknologi, 15(1), 109. https://doi.org/10.24252/teknosains.v15i1.17766

Pantalone, S. (2010). Creating The Urban Forest: Suitability Analysis for Green Space in The City of Boston. USGS Land Cover Institute, Tufts University.

Pareta, K. (2013). Remote sensing and GIS based site suitability analysis for tourism development. International Journal of Advanced Research in Engineering and Applied Sciences, 2(5), 43–58.

Piran, H., Maleknia, R., Akbari, H., Soosani, J., and Karami, O. (2013). Site Selection for Local Forest Park Using Analytic Hierarchy Process and Geographic Information System (case study: Badreh County). International Research Journal of Applied and Basic Sciences, 6(7), 930–935.

Saaty, T. L., and Özdemir, M. S. (2014). How Many Judges Should There Be in a Group ? Annals of Data Science, 1(3–4), 359–368. https://doi.org/10.1007/s40745-014-0026-4

Tahmasebi, E., Jalali, M., Gharehghashlo, M., and Nicjnamfar, M. (2014). Urban Park Site Selection at Local Scale by Using Geographic Information System ( GIS ) and Analytic Hierarchy Process ( AHP ). Eur. J. Exp. Bio, 4(3), 357–365.

Widyawati, L. F., Aryaguna, P. A., First, A. Y., and Gromiko, A. (2020). Land Procurement for Green Open Space in South Jakarta Using GIS-based Multiple Criteria Analysis. LIFEWAYS: International Journal, 4(1), 35–47.



DOI: https://doi.org/10.22146/ijg.68184

Article Metrics

Abstract views : 2039 | views : 1471

Refbacks

  • There are currently no refbacks.




Copyright (c) 2022 Prama Ardha Aryaguna

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Accredited Journal, Based on Decree of the Minister of Research, Technology and Higher Education, Republic of Indonesia Number 225/E/KPT/2022, Vol 54 No 1 the Year 2022 - Vol 58 No 2 the Year 2026 (accreditation certificate download)

ISSN 2354-9114 (online), ISSN 0024-9521 (print)

Web
Analytics IJG STATISTIC