Spatial model of industrial area suitability using spatial multi criteria evaluation: A case study in Kendari City

Main Article Content

Septianto Aldiansyah Septian
Randi Adrian Saputra

Abstract

Designing an industrial location must be based on consideration of factors that will influence it such as natural, environmental and ecological conditions. One of the spatial-based location determination methods is Spatial Multi-Criteria Evaluation (SMCE). This study aims to determine suitable industrial areas and compare industrial locations that have been determined based on the Regional Spatial Plan (RTRW) for 2010-2030 in Kendari City. Industrial areas must be flood-free, located in a relatively flat area, far from settlements, have good access and must not interfere with the river’s natural function. Therefore, the aspects of access, hydrology, physiography and convenience were all taken into account in this study. The area in Scenario A was retested with Scenario B and Scenario C to get a variety of industrial areas with different perspectives. Kendari City’s appropriate industrial area is 2.462.36 ha and is located in Puuwatu Sub-District, which is directly connected to Mandonga Sub-District (scenario 2.C). The RTRW map with the industrial model of the area shows the mismatch of the proposed industrial area placement. The results of this industrial area can be used as an alternative for decision-makers.

Article Details

How to Cite
Septian, S. A., & Saputra, R. A. (2023). Spatial model of industrial area suitability using spatial multi criteria evaluation: A case study in Kendari City. Sustinere: Journal of Environment and Sustainability, 6(3), 214–226. https://doi.org/10.22515/sustinerejes.v6i3.259
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References

Aldiansyah, S. (2021). Evaluation of rth in regional spatial plan with NDVI in Kendari City. Tunas Geografi, 10(1), 53-60. DOI: https://doi.org/10.24114/tgeo.v10i1.27472

Aldiansyah, S., Mandini Mannesa, M., & Supriatna, S. (2021). Monitoring of vegetation cover changes with geomorphological forms using Google Earth engine in Kendari City. Jurnal Geografi Gea, 21(2), 159-170. doi: https://doi.org/10.17509/gea.v21i2.37070

Aldiansyah, S., & Saputra, R. A. (2023). Comparison of machine learning algorithms for land use and land cover analysis using Google Earth engine (Case study: Wanggu watershed). International Journal of Remote Sensing and Earth Sciences, 19(2), 197-210. http://dx.doi.org/10.30536/j.ijreses.2022.v19.a3803

Aldiansyah, S., & Wibowo, A. (2022). Aplikasi metode spatial multi criteria analisysis untuk pengembangan kawasan permukiman (Studi kasus: Re-evaluasi RTRW Provinsi Sulawesi Tenggara). Jurnal Geografi, Edukasi Dan Lingkungan (JGEL), 6(2), 136–152. https://doi.org/10.22236/jgel.v6i2.7481

Alavi, C., & Sabagh, S. A. (2017). Examining environmental pollution in industrial towns using the Spatial Multi-Criteria Evaluation Model (SMCE). Journal of Economic & Management Perspectives, 11(4), 1038-1047.

Arimjaya, I. W.G.K., Sugandhi, S., Aliyah, N., Aldiansyah, S., & Ristiantri, Y. R. A. (2022). Identifikasi pengembangan kawasan permukiman dengan metode Spatial Multi Criteria Analysis (Studi kasus: Re-evaluasi RTRW Provinsi Kalimantan Tengah). Seminar Nasional Geomatika VI: Inovasi Geospasial Dalam Pengurangan Risiko Bencana, 735–748.

Cahyadi, A. I. B., Suprayogi, A., & Amarrohman, F. J. (2018). Penentuan lokasi potensial pengembangan kawasan industri menggunakan sistem informasi geografis di Kabupaten Sukoharjo. Jurnal Geodesi Undip, 7(1), 163-171. Retrieved from https://ejournal3.undip.ac.id/index.php/geodesi/article/view/19325

Carver, S. J. (1991). Integrating multi-criteria evaluation with geographical information systems. International Journal of Geographical Information System, 5(3), 321-339. https://doi.org/10.1080/02693799108927858

Chakhar, S., & Mousseau, V. (2008). Spatial multicriteria decision making. Encyclopedia of GIS, Springer-Verlag, New York. pp. 747–753

Dewi, S. Ekadinata, A. Johana, F. 2009. Sistem informasi geografis untuk pengelolaan bentang lahan berbasis sumber daya alam. Buku 2: Analisis spasial untuk perencanaan wilayah yang terintegrasi menggunakan ILWIS Open Source, World Agroforestry Centre. Bogor. Indonesia

Eastman, J. R., Jiang, H., & Toledano, J. (1998). Multi-criteria and multi-objective decision making for land allocation using GIS. In Multicriteria analysis for land-use management (pp. 227-251). Springer, Dordrecht.

Effat, H. A. (2014). Resource-based zoning map for sustainable industrial development in north sinai using remote sensing and multicriteria evaluation. International Journal of Sustainable Development and Planning, 9(1), 119-134. DOI: 10.2495/SDP-V9-N1-119-134

Etxano, I., & Villalba-Eguiluz, U. (2021). Twenty-five years of social multi-criteria evaluation (SMCE) in the search for sustainability: Analysis of case studies. Ecological Economics, 188, 107131. https://doi.org/10.1016/j.ecolecon.2021.107131

Eldrandaly, K., Eldin, N., & Sui, D. (2003). A COM-based spatial decision support system for industrial site selection. Journal of Geographic Information and Decision Analysis, 7(2), 72-92.

Fischer, M. M., Scholten, H. J., & Unwin, D. (2019). Geographic information systems, spatial data analysis and spatial modelling: an introduction. In Spatial analytical perspectives on GIS (pp. 3-20). Routledge.

Gal, T., Stewart, T., & Hanne, T. (Eds.). (2013). Multicriteria decision making: advances in MCDM models, algorithms, theory, and applications (Vol. 21). Springer Science & Business Media.

Gbarakoro, S. L., Gbarakoro, T. N., & Eebu, W. L. (2020). Impact of industrial effluent discharge on the physico-chemical properties of Aleto Stream, Eleme, Rivers State, Nigeria. Annual Research & Review in Biology, 79-89. DOI: 10.9734/arrb/2020/v35i130183

Graser, A., Mearns, B., Mandel, A., Ferrero, V. O., & Bruy, A. (2017). QGIS: Becoming a GIS power user. Packt Publishing Ltd.

Jato-Espino, D., Castillo-Lopez, E., Rodriguez-Hernandez, J., & Canteras-Jordana, J. C. (2014). A review of application of multi-criteria decision making methods in construction. Automation in construction, 45, 151-162. https://doi.org/10.1016/j.autcon.2014.05.013

Handoko, H. (2000). Dasar-dasar manajemen produksi dan operasi. Yogyakarta: BPFE.

Kementerian Pekerjaan Umum dan Perumahan Rakyat (KPUPR). 2007. Peraturan Menteri PUPR Tentang Pedoman Kriteria Teknis Kawasan Budi Daya.

Keshkamat, Sukhad. 2007. Formulation & evaluation of transport planning alternatives using spatial multi citeria assesment and network analysis: A case study of the Via Baltica expressway in north-eastern Poland. Master Thesis, International Institute for Geo-Information Science and Earth Observation (ITC), Netherlands

Kristiani, M. K., Rondonuwu, D. M., & Warouw, F. (2015). Analisis kondisi permukiman kawasan industri perikanan laut Kelurahan Aertembaga Satu Kota Bitung. SPASIAL, 1(1), 94-104. https://doi.org/10.35793/sp.v1i1.9185

Malczewski, J. (2004). GIS-based land-use suitability analysis: A critical overview. Progress in planning, 62(1), 3-65. https://doi.org/10.1016/j.progress.2003.09.002

Malczewski, J. (1997). Spatial decision support systems. the NCGIA UCSB Core Curriculum in GIScience. http://www.ncgia.ucsb.edu/giscc/units/u127/

Maleki, S., Soffianian, A. R., Koupaei, S. S., Pourmanafi, S., & Saatchi, S. (2018). Wetland restoration prioritizing, a tool to reduce negative effects of drought; An application of multicriteria-spatial decision support system (MC-SDSS). Ecological engineering, 112, 132-139. https://doi.org/10.1016/j.ecoleng.2017.12.031

Petyasari, A. D. (2018). Identifikasi pola pergerakan angkutan barang masuk dan keluar kawasan industri Pulogadung. SKRIPSI-2014.

Raaijimakers, R.J.J. (2006). A spatial multi criteria analysis methodology for the development of sustainable flood risk management in the Ebro Delta. University of Twente Department Water Engineering and Management. http://essay.utwente.nl/57138/1/scriptie_Raaijmakers.pdf

Rahmi, K. I. N., Ali, A., Maghribi, A. A., Aldiansyah, S., & Atiqi, R. (2022). Monitoring of land use land cover change using Google Earth engine in urban area: Kendari city 2000-2021. In IOP Conference Series: Earth and Environmental Science (Vol. 950, No. 1, p. 012081). IOP Publishing. doi:10.1088/1755-1315/950/1/012081

Rikalovic, A., Cosic, I., & Lazarevic, D. (2014). GIS based multi-criteria analysis for industrial site selection. Procedia engineering, 69, 1054-1063. https://doi.org/10.1016/j.proeng.2014.03.090

Ruiz, H. S., Sunarso, A., Ibrahim-Bathis, K., Murti, S. A., & Budiarto, I. (2020). GIS-AHP multi criteria decision analysis for the optimal location of solar energy plants at Indonesia. Energy Reports, 6, 3249-3263. https://doi.org/10.1016/j.egyr.2020.11.198

Sahabuddin, H., Harisuseno, D., & Yuliani, E. (2014). Analisa status mutu air dan daya tampung beban pencemaran Sungai Wanggu Kota Kendari. Jurnal Teknik Pengairan: Journal of Water Resources Engineering, 5(1), 19-28. Retrieved from https://jurnalpengairan.ub.ac.id/index.php/jtp/article/view/201

Sánchez-Lozano, J. M., Teruel-Solano, J., Soto-Elvira, P. L., & García-Cascales, M. S. (2013). Geographical Information Systems (GIS) and Multi-Criteria Decision Making (MCDM) methods for the evaluation of solar farms locations: Case study in south-eastern Spain. Renewable and sustainable energy reviews, 24, 544-556. https://doi.org/10.1016/j.rser.2013.03.019

Sare, L., Olivares, M., & Weimer, K. H. (2013). Integrative services for demographic and geographic information system (GIS) data. The new academic librarian: Essays on changing roles and responsibilities, 124-32.

Sutejo, Y., & Gofar, N. (2015). Effect of area development on the stability of cut slopes. Procedia Engineering, 125, 331-337. https://doi.org/10.1016/j.proeng.2015.11.071

Wang, S., Zhong, Y., & Wang, E. (2019). An integrated GIS platform architecture for spatiotemporal big data. Future Generation Computer Systems, 94, 160-172. https://doi.org/10.1016/j.future.2018.10.034

Wibowo, A. (2009). Modul pelatihan SDSS untuk SEA (KLHS). PPGT Dep. Geografi FMIPA UI. Depok. Jawa Barat.

Wibowo, A., & Semedi, J. M. (2011). Model spasial dengan SMCE untuk kesesuaian kawasan industri. Majalah Ilmiah Globe. Vol.13, pp.50-59. doi: 10.24895/MIG.2011.13-1.%25x

Wibowo, D., Basri, B., Adami, A., Sumarlin, S., Rosdiana, R., Ndibale, W., & Ilham, I. (2020). Analisis logam nikel (Ni) dalam air laut dan persebarannya di perairan Teluk Kendari, Sulawesi Tenggara. Indonesian Journal of Chemical Research, 8(2), 144-150. https://doi.org/10.30598//ijcr.2020.8-dwi

Wegmann, M., Schwalb-Willmann, J., & Dech, S. (2020). An introduction to spatial data analysis: Remote sensing and GIS with open source software. Pelagic Publishing Ltd.

Worral, L. (1991). Spatial analysis and spatial policy using geographic information systems. Belhaven Press, London.

Zavadskas, E. K., Turskis, Z., & KildienÄ—, S. (2014). State of art surveys of overviews on MCDM/MADM methods. Technological and economic development of economy, 20(1), 165-179. https://doi.org/10.3846/20294913.2014.892037