SPATIAL CRITERIA FOR INDUSTRIAL AREA: SUSTAINABLE DEVELOPMENT STRATEGY IN SANGIRAN CULTURAL HERITAGE ZONE, GONDANGREJO DISTRICT

Rita Noviani, Aditya Eka Saputra

Abstract

Gondangrejo District is a suburb (peri urban) of Surakarta City with significant industrial growth in Karanganyar Regency. The driving factor of the development of the Gondangrejo District is the relocation of urban activities in Surakarta City. Gondangrejo District is an area of deconcentration of industrial activities because of its location directly adjacent to Surakarta City. A comprehensive site selection analysis is essential for industrial siting that supports sustainable builders. We select the optimal site for the industrial area by considering various criteria and inhibiting factors using GIS-based MCDA. Most suitable for industrial sites with GIS and AHP to build industries in The Gondangrejo District. This study aims to determine the most optimal industrial area by considering various appropriate criteria using multi-criteria decision analysis (MCDA) and geographic information system (GIS) methods. Based on the criteria used, namely proximity to roads, distance from rivers, distance from settlements, physiology, and population density with the same weight of 20%, a suitable location for the industrial area with a linear pattern or extending from east to west in the Gondangrejo District. Based on the same criteria with different weights from the results of the AHP analysis, suitable locations for industrial sites are Dayu Village, Rejosari Village, and Wonosari Village, which form a centering pattern. The study results found that the optimal industrial areas in Gondangrejo District are Dayu Village, Rejosari, and Wonosari. The results of the suitability of this industrial area can be used by decision-makers in the development planning of the Gondangrejo District.

Keywords

Industrial area; MCDA; AHP;

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References

Coutinho-Rodrigues, J., Simão, A., & Antunes, C. H. (2011). A GIS-based multi-criteria spatial decision support system for planning urban infrastructures. Decision Support Systems, 51(3), 720–726. https://doi.org/10.1016/j.dss.2011.02.010

Feriyanto. (2017). Criteria Decision Analysis Untuk Pemilihan Proses Dan Operasi Koagulasi-Flokulasi Pada Pre-Treatment Water System Pembangkit Listrik Tenaga Uap ( Pltu ). Criteria Decision Analysis Untuk Pemilihan Proses Dan Operasi Koagulasi-Flokulasi Pada Pre-Treatment Water System Pembangkit Listrik Tenaga Uap ( Pltu ).

Han, Y., Wang, Z., Lu, X., & Hu, B. (2020). Application of AHP to road selection. ISPRS International Journal of Geo-Information, 9(2), 12–24. https://doi.org/10.3390/ijgi9020086

Idrus, I., & Hakim, H. (2018). Analisa Perkembangan Kawasan Industri Tallasa City Di Kota Makassar. ILTEK : Jurnal Teknologi, 13(01), 1901–1907. https://doi.org/10.47398/iltek.v13i01.56

Kocabaldır, C., & Yücel, M. A. (2023). GIS-based multi-criteria decision analysis for spatial planning of solar photovoltaic power plants in Çanakkale province, Turkey. Renewable Energy, 212(September 2022), 455–467. https://doi.org/10.1016/j.renene.2023.05.075

Luu, C., & von Meding, J. (2018). A flood risk assessment of Quang Nam, Vietnam using spatial multi-criteria decision analysis. Water (Switzerland), 10(4), 1–16. https://doi.org/10.3390/w10040461

Mataufani, N. A., Rahayu, P., & Rini, E. F. (2020). Kenampakan Fisik Kota Dan Daerah Peri Urban Surakarta. Desa-Kota, 2(2), 130. https://doi.org/10.20961/desa-kota.v2i2.41509.130-142

Murcia, C., Guariguata, M. R., Andrade, Á., Andrade, G. I., Aronson, J., Escobar, E. M., Etter, A., Moreno, F. H., Ramírez, W., & Montes, E. (2016). Challenges and Prospects for Scaling-up Ecological Restoration to Meet International Commitments: Colombia as a Case Study. Conservation Letters, 9(3), 213–220. https://doi.org/10.1111/conl.12199

Novita, A. A. (2020). Key Success Factor Tata Kelola Kota Tangguh Bencana. Jurnal Ilmiah Administrasi Publik, 006(01), 82–93. https://doi.org/10.21776/ub.jiap.2020.006.01.10

Nur, D. M. (2016). Dampak Pembangunan Kawasan Industri Di Kabupaten Bekasi Terhadap Alih Fungsi Lahan Dan Mata Pencaharian Penduduk. Jurnal Geografi Gea, 7(2). https://doi.org/10.17509/gea.v7i2.1717

Putra, A. R., & Silfiana, S. (2020). Resiko Kerentanan Masyarakat Perkotaan Terhadap Bahaya Banjir di Kelurahan Margagiri, Kecamatan Bojonegara, Kabupaten Serang. Jurnal Kebijakan Pembangunan Daerah, 4(1), 62–76. https://doi.org/10.37950/jkpd.v4i1.92

Rahmawati, I. P., Setiawan, D., Gantyowati, E., & Sarwono, A. E. (2019). Pengembangan Pengrajin Tikar Di Gondangrejo Kabupaten Karanganyar. Jurnal Abdimas Madani Dan Lestari (JAMALI), 1(2), 63–69. https://doi.org/10.20885/jamali.vol1.iss2.art2

Sari, K. D. R., & Santoso, E. B. (2017). Analisis Keterkaitan Wilayah Peri Urban di Kabupaten Gresik dengan Wilayah Desa-Kota di Sekitarnya. Jurnal Teknik ITS, 6(2), 2–7. https://doi.org/10.12962/j23373539.v6i2.24971

Sholihah, D. A., Soedwiwahjono, S., & Kusumastuti, K. (2018). Dampak Perkembangan Aglomerasi Industri Gondangrejo, Karanganyar terhadap Perubahan Spasial. Region: Jurnal Pembangunan Wilayah Dan Perencanaan Partisipatif, 13(2), 115. https://doi.org/10.20961/region.v13i2.20960

Ulfa, K. F., Hani’ah, & Subiyanto, S. (2017). Penentuan Kawasan Peruntukan Industri Menggunakan Analytical Hierarchy Process (Ahp) Dan Sistem Informasi Geografis (Studi Kasus : Kabupaten Sragen). Jurnal Geodesi Undip, 6, 9–17.

Wibowo, A., & Semedi, J. M. (2011). Model Spasial dengan SMCE untuk Kesesuaian Kawasan Industri. Majalah Ilmiah Globe, 13(1), 50–59. http://jurnal.big.go.id/index.php/GL/article/view/106

Zaenuri. (2011). Dampak Pengoperasian Industri Terhadap Kualitas Udara Dan Kebisingan Di Kawasan Simongan Kota Semarang. Sainteknol: Jurnal Sain Dan Teknologi, 9(2), 169–178.

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