Selection of potential location for technopark based on pineapple SMEs using AHP-GIS techniques in Kampar Regency
Vol 8, Issue 10, 2024
VIEWS - 1152 (Abstract)
Abstract
Kampar Regency, as the largest pineapple producer in Riau Province, has yet to provide significant added value for the surrounding SMEs. The limitations in technology and innovation, infrastructure support, and market access have prevented this potential from being optimally utilized. A Technopark can provide the necessary facilities and infrastructure to enhance production efficiency, innovation, and product quality, thus driving local economic growth. The objective of this study is to identify and determine potential locations for the development of a pineapple-based Technopark in Kampar Regency. This study is crucial as a fundamental consideration in selecting the technopark location and assessing the effectiveness and success of the technopark area. The method used in this study is AHP-GIS to analyze relevant parameters in the site selection process for the technopark area. Parameters considered in this study include slope, land use, availability of raw materials, accessibility of roads, access to water resources, proximity to universities, market access, population density, and landfill. The analysis results indicate that the percentage of land highly suitable for the technopark location is 0.78%, covering an area of 8943 hectares. Based on the analysis, it is recommended that potential locations for the development of a pineapple SMEs-based technopark in Kampar Regency are dispersed in Tambang District, encompassing three villages: Rimbo Panjang, Kualu Nenas and Tarai Bangun. The findings of this study align with the spatial planning of Kampar Regency.
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- Abdul, B. S., Gharleghi, B., Batool, K., et al. (2024). Review of enablers and barriers of sustainable business practices in SMEs. Journal of Economy and Technology, 2, 79–94. https://doi.org/10.1016/j.ject.2024.03.005
- Adamaitis, S. A. (2021). The Role of Industrial and Technology Parks in the Socioeconomic Development of Russian Regions. Regional Research of Russia, 11(4), 648–655. https://doi.org/10.1134/s207997052104002x
- Aihie, V. U., Oyetunji, A. K., Omotayo, T., et al. (2023). Does the analytical hierarchy process help appraisers make better decisions? A quasi-experimental approach for property investment comparables. International Journal of Building Pathology and Adaptation. https://doi.org/10.1108/ijbpa-09-2022-0154
- Al-Karkhi, M. I. (2024). Statistical analysis and open innovation in economic growth of scottish business SMEs for sustainable development. Journal of Open Innovation: Technology, Market, and Complexity, 10(2), 100275. https://doi.org/10.1016/j.joitmc.2024.100275
- Ally, A. M., Yan, J., Bennett, G., et al. (2024). Assessment of groundwater potential zones using remote sensing and GIS-based fuzzy analytical hierarchy process (F-AHP) in Mpwapwa District, Dodoma, Tanzania. Geosystems and Geoenvironment, 3(1), 100232. https://doi.org/10.1016/j.geogeo.2023.100232
- Arabsheibani, R., Kanani Sadat, Y., & Abedini, A. (2016). Land suitability assessment for locating industrial parks: a hybrid multi criteria decision‐making approach using Geographical Information System. Geographical Research, 54(4), 446–460. https://doi.org/10.1111/1745-5871.12176
- Arauzo-Carod, J. M., Segarra-Blasco, A., & Teruel, M. (2018). The role of science and technology parks as firm growth boosters: an empirical analysis in Catalonia. Regional Studies, 52(5), 645–658. https://doi.org/10.1080/00343404.2018.1447098
- Arranz, C. F. A., Arroyabe, M. F., & Fernandez de Arroyabe, J. C. (2024). Organisational transformation toward circular economy in SMEs. The effect of internal barriers. Journal of Cleaner Production, 456, 142307. https://doi.org/10.1016/j.jclepro.2024.142307
- Ashkezari, A. D., Hosseinzadeh, N., Chebli, A., et al. (2018). Development of an enterprise Geographic Information System (GIS) integrated with smart grid. Sustainable Energy, Grids and Networks, 14, 25–34. https://doi.org/10.1016/j.segan.2018.02.001
- Aykut, T. (2021). Determination of groundwater potential zones using Geographical Information Systems (GIS) and Analytic Hierarchy Process (AHP) between Edirne-Kalkansogut (northwestern Turkey). Groundwater for Sustainable Development, 12, 100545. https://doi.org/10.1016/j.gsd.2021.100545
- BPS. (2024). BPS 2024. Available online: https://bps2024.ktu.edu/ (accessed on 3 May 2023).
- BPS Riau. (2022). Provinsi Riau Dalam Angka 2022. Available online: https://riau.bps.go.id/publication/2022/02/25/85c4ce5fd9662f99e34a5071/provinsi-riau-dalam-angka-2022.html (accessed on 3 May 2023).
- BPS Riau. (2020). Central Bureau of Statistics of Riau Province (Indonesian). Available online: https://sulsel.bps.go.id/index.php/linkTabelStatis (accessed on 3 May 2023).
- Budianingsih, L., Hadi, S., & Edwina, S. (2017). Pineapple Agribusiness in Tambang District, Kampar Regency (Indonesian). Jurnal Online Mahasiswa Fakultas Pertanian Universitas Riau, 4(1), 1-11.
- Cabral, R. (2024). Science Parks. Reference Module in Social Sciences. https://doi.org/10.1016/b978-0-443-13701-3.00175-4
- Cadorin, E., Klofsten, M., & Löfsten, H. (2019). Science Parks, talent attraction and stakeholder involvement: an international study. The Journal of Technology Transfer, 46(1), 1–28. https://doi.org/10.1007/s10961-019-09753-w
- Chaichana, T., Reeve, G., Jaisan, C., et al. (2024). Modelling and assessing new SME digital business status for visualising virtual economics and sustainability economic indicators: Empirical evidence from poultry business. Heliyon, 10(9), e30624. https://doi.org/10.1016/j.heliyon.2024.e30624
- Chakraborty, M. (2024). Industrial clustering and location in India: Sectoral patterns of investments and employments. Regional Science Policy & Practice, 16(6), 100041. https://doi.org/10.1016/j.rspp.2024.100041
- Cheng, F., van Oort, F., Geertman, S., et al. (2013). Science Parks and the Co-location of High-tech Small- and Medium-sized Firms in China’s Shenzhen. Urban Studies, 51(5), 1073–1089. https://doi.org/10.1177/0042098013493020
- Chumaidiyah, E., Dewantoro, M. D. R., & Kamil, A. A. (2021). Design of a Participatory Web-Based Geographic Information System for Determining Industrial Zones. Applied Computational Intelligence and Soft Computing, 2021, 1–10. https://doi.org/10.1155/2021/6665959
- Davis, C., & Hashimoto, K. (2022). Productivity growth, industry location patterns and labor market frictions. Regional Science and Urban Economics, 97, 103817. https://doi.org/10.1016/j.regsciurbeco.2022.103817
- Diniaty, D., Fauzi, A. M., Sunarti, T. C., et al. (2024). Determination of Superior Commodities for The Development of Small and Medium Industries in Kampar Regency. Journal of Applied Engineering and Technological Science (JAETS), 5(2), 995–1010. https://doi.org/10.37385/jaets.v5i2.4727
- Durak, İ., Arslan, H. M., & Özdemir, Y. (2021). Application of AHP–TOPSIS methods in technopark selection of technology companies: Turkish case. Technology Analysis & Strategic Management, 34(10), 1109–1123. https://doi.org/10.1080/09537325.2021.1925242
- Elghazouly, H. G., Elnaggar, A. M., Ayaad, S. M., Nassar, E. T. (2024). Framework for integrating multi-criteria decision analysis and geographic information system (MCDA-GIS) for improving slums interventions policies in Cairo, Egypt. Alexandria Engineering Journal, 86, 277–288. https://doi.org/10.1016/j.aej.2023.11.059
- de Faria, A. F., Ribeiro, J., Amaral, M., Sediyama, J. A. S. (2019). Success Factors and Boundary Conditions for Technology Parks in the Light of the Triple Helix Model. Journal of Business and Economics. 10(1): 50–67
- Gao, X. (2024). Unlocking the path to digital financial accounting: A study on Chinese SMEs and startups. Global Finance Journal, 61, 100970. https://doi.org/10.1016/j.gfj.2024.100970
- Guo, Q., & Liu, M. (2023). Dynamic assessment of eco-civilization in Guangdong Province based on geographic information system (GIS) and analytic hierarchy process (AHP). Heliyon, 9(12), e22579. https://doi.org/10.1016/j.heliyon.2023.e22579
- Han, S., Chen, L., Su, Z., et al. (2024). Identifying a good business location using prescriptive analytics: Restaurant location recommendation based on spatial data mining. Journal of Business Research, 179, 114691. https://doi.org/10.1016/j.jbusres.2024.114691
- Henriques, I. C., Sobreiro, V. A., & Kimura, H. (2018). Science and technology park: Future challenges. Technology in Society, 53, 144–160. https://doi.org/10.1016/j.techsoc.2018.01.009
- Kılıc, O. M., Ersayın, K., Gunal, H., et al. (2022). Combination of fuzzy-AHP and GIS techniques in land suitability assessment for wheat (Triticum aestivum) cultivation. Saudi Journal of Biological Sciences, 29(4), 2634–2644. https://doi.org/10.1016/j.sjbs.2021.12.050
- Liu, Y., Ma, X., Jiang, M., et al. (2023). Location selection of agricultural Machinery sheds for improved scheduling and efficiency under sustainability goals. Ecological Indicators, 155, 110986. https://doi.org/10.1016/j.ecolind.2023.110986
- Magalhães Correia, A. M., & da Veiga, C. P. (2019). Management model by processes for science parks. Cogent Business & Management, 6(1). https://doi.org/10.1080/23311975.2019.1580121
- Mansour, A. M. H., & Kanso, L. (2018). Science park implementation—A proposal for merging research and industry in developing Arab countries. HBRC Journal, 14(3), 357–367. https://doi.org/10.1016/j.hbrcj.2017.06.002
- Manurung, D. W., & Santoso, E. B. (2020). Determination of the Location of an Environmentally Friendly Waste Final Processing Site (TPA) in Bekasi Regency (Indonesian). Jurnal Teknik ITS, 8(2). https://doi.org/10.12962/j23373539.v8i2.48801
- Mirza, A. C., Anggraini, R. A. R., & Soetijono, I. R. (2017). Implementation of National Marine Resources Management towards Riau Islands Provincial Government Policy (Indonesian). E-Journal Lentera Hukum, 4(2), 79. https://doi.org/10.19184/ejlh.v4i2.4758
- Muerza, V., Milenkovic, M., Larrodé, E., et al. (2024). Selection of an international distribution center location: A comparison between stand-alone ANP and Dematel-Anp applications. Research in Transportation Business & Management, 56, 101135. https://doi.org/10.1016/j.rtbm.2024.101135
- N, H., M, A., Ahmed, S. A., et al. (2023). Geospatial investigation of site suitability for ecotourism development using AHP and GIS techniques in Uttara Kannada district, Karnataka state, India. World Development Sustainability, 3, 100114. https://doi.org/10.1016/j.wds.2023.100114
- Nong, T. N. M. (2022). A hybrid model for distribution center location selection. The Asian Journal of Shipping and Logistics, 38(1), 40–49. https://doi.org/10.1016/j.ajsl.2021.10.003
- Nosonov, A. M., & Letkina, N. V. (2019). Technoparks as Centers of Regional Economic Development. International Journal of Innovative Technology and Exploring Engineering, 8(12), 4213–4218. https://doi.org/10.35940/ijitee.l2691.1081219
- Oktari, R. D., Waluyati, L. R., & Suryantini, A. (2020). Analysis of factors affecting the profitability of pineapple chips business in Kampar district (Indonesian). Jurnal Agroteknologi, 10(2), 67. https://doi.org/10.24014/ja.v10i2.7502
- Ramya, S., & Devadas, V. (2019). Integration of GIS, AHP and TOPSIS in evaluating suitable locations for industrial development: A case of Tehri Garhwal district, Uttarakhand, India. Journal of Cleaner Production, 238, 117872. https://doi.org/10.1016/j.jclepro.2019.117872
- Rao, C., Goh, M., Zhao, Y., et al. (2015). Location selection of city logistics centers under sustainability. Transportation Research Part D: Transport and Environment, 36, 29–44. https://doi.org/10.1016/j.trd.2015.02.008
- Rezaeisabzevar, Y., Bazargan, A., & Zohourian, B. (2020). Landfill site selection using multi criteria decision making: Influential factors for comparing locations. Journal of Environmental Sciences, 93, 170–184. https://doi.org/10.1016/j.jes.2020.02.030
- 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
- Sahnoun, H., Serbaji, M. M., Karray, B., et al. (2011). GIS and multi-criteria analysis to select potential sites of agro-industrial complex. Environmental Earth Sciences, 66(8), 2477–2489. https://doi.org/10.1007/s12665-011-1471-4
- Sahoo, A., Subhadarshini, R., & Baliarsingh, F. (2024). Mapping of groundwater potential zones of Khordha District using GIS and AHP approaches. Cleaner Water, 1, 100015. https://doi.org/10.1016/j.clwat.2024.100015
- Sahoo, D., Parida, P. K., & Pati, B. (2024). Efficient fuzzy multi-criteria decision-making for optimal college location selection: A comparative study of min–max fuzzy TOPSIS approach. Results in Control and Optimization, 15, 100422. https://doi.org/10.1016/j.rico.2024.100422
- Shahrabi-Farahani, S., Hafezalkotob, A., Mohammaditabar, D., et al. (2024). Selection of sustainable industrial livestock site using the R-Number GIS-MCDM method: A case study of Iran. Environmental and Sustainability Indicators, 22, 100362. https://doi.org/10.1016/j.indic.2024.100362
- Singh, R., Chandrashekar, D., Subrahmanya Mungila Hillemane, B., et al. (2022). Network cooperation and economic performance of SMEs: Direct and mediating impacts of innovation and internationalisation. Journal of Business Research, 148, 116–130. https://doi.org/10.1016/j.jbusres.2022.04.032
- Soluk, J., Decker-Lange, C., & Hack, A. (2023). Small steps for the big hit: A dynamic capabilities perspective on business networks and non-disruptive digital technologies in SMEs. Technological Forecasting and Social Change, 191, 122490. https://doi.org/10.1016/j.techfore.2023.122490
- Su, F., Khan, Z., Kyu Lew, Y., et al. (2020). Internationalization of Chinese SMEs: The role of networks and global value chains. BRQ Business Research Quarterly, 23(2), 141–158. https://doi.org/10.1177/2340944420916339
- Varshney, N., Dwivedi, A. K., & Acharya, S. R. (2024). Small and Medium Enterprises (SMEs): A Perspective Article. Reference Module in Social Sciences. https://doi.org/10.1016/b978-0-443-13701-3.00218-8
- Vidya, K. M., Manoharan, A. N., Suchitra, B., et al. (2024). Combination of remote sensing, GIS, AHP techniques and geophysical data to delineate groundwater potential zones in the Shiriya River Basin, South India. Geosystems and Geoenvironment, 3(4), 100294. https://doi.org/10.1016/j.geogeo.2024.100294
- Villacreses, G., Martínez-Gómez, J., Jijón, D., et al. (2022). Geolocation of photovoltaic farms using Geographic Information Systems (GIS) with Multiple-criteria decision-making (MCDM) methods: Case of the Ecuadorian energy regulation. Energy Reports, 8, 3526–3548. https://doi.org/10.1016/j.egyr.2022.02.152
- Wang, Y. (2016). What are the biggest obstacles to growth of SMEs in developing countries?—An empirical evidence from an enterprise survey. Borsa Istanbul Review, 16(3), 167–176. https://doi.org/10.1016/j.bir.2016.06.001
- Xue, L., Cao, P., Xu, D., et al. (2023). Agricultural land suitability analysis for an integrated rice–crayfish culture using a fuzzy AHP and GIS in central China. Ecological Indicators, 148, 109837. https://doi.org/10.1016/j.ecolind.2022.109837
- Zhou, W., Xu, Y., Zhang, L., et al. (2023). Does public behavior and research development matters for economic growth in SMEs: Evidence from Chinese listed firms. Economic Analysis and Policy, 79, 107–119. https://doi.org/10.1016/j.eap.2023.06.005
- Zianko, V., & Nechyporenko, T. (2023). Current Status and Features of the Development of Technoparks in Ukraine. Science and Innovation, 19(6), 87–105. https://doi.org/10.15407/scine19.06.087
- Zolotov, A. V. (2023). Technoparks as an integration element of innovative interaction. Advances in Research on Russian Business and Management, 155–164.
DOI: https://doi.org/10.24294/jipd.v8i10.7627
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