Suitability Mapping for Broiler Closed House Farm Using Analytical Hierarchy Process and Weighted Overlay with Emphasize on Environmental Aspects


Authors

  • Arif Kurnia Wijayanto IT for Natural Resources Management, Bogor Agricultural University, IPB, Jl Raya Tajur km 6, Bogor, 16134, Indonesia
  • Kudang Boro Seminar Department of Mechanical and Biosystem Engineering, Bogor Agricultural University, IPB, Darmaga Campus, West Java, 16680, Indonesia
  • Rudi Afnan Department of Animal Production and Technology, Bogor Agricultural University, IPB, Darmaga Campus, West Java, 16680, Indonesia

DOI:

https://doi.org/10.3923/ijps.2015.577.583

Keywords:

Analytical hierarchy process, broiler, environmental factors, mapping, site selection

Abstract

Massive development of broiler farms has led to many socio-environmental problems. A mapping based on the socio-environmental factors and sustainable principles is urgently needed to cope with this problem. The objective of this research was to create a suitability map for broiler farm development in Parung region, Indonesia-as study area. There were four factors considered in the mapping: (1) ecology and environmental impact, (2) economic and infrastructure, (3) natural condition and (4) natural disaster vulnerability, each of which consists of sub-factors. An Analytical Hierarchy Process (AHP) by using pairwise comparison method was applied to determine weight of each factor and sub-factor based on experts’ valuation. From the AHP process, natural condition was considered as the most important factor, followed by ecological and environmental impact factor. By considering weights resulted from the AHP, the spatial analysis and weighted overlay by GIS software were applied in the data processing and suitability map building. Suitability map for broiler farm in Parung region has been created and can be used as guidance for broiler farm development and also for local government as decision support tool to manage the farming area concerning ecology and environment factor.

References

Carvalho, L.M.T., M.S. Ribeiro, L.T. de Oliveira, T.C.A. Oliveira, J.N. Lozada, J.R.S. Scolforo and A.D. Oliveira, 2007. Weighted overlay, fuzzy logic and neural networks for estimating vegetation vulnerability within the ecological economical zoning of minas Gerais, Brazil. Proceedings of the 9th Brazilian Symposium on GeoInformatics, November 25-28, 2007, Brazil, pp: 171-182.

DGLAH., 2013. Livestock and animal health statistics 2013. Directorate General of Livestock and Animal Health (DGLAH), Ministry of Agriculture of Republic Indonesia, Jakarta.

ESRI., 2002. Using ArcGIS Spatial Analyst. ESRI Press, Redlands.

Fitriadi, A., 2011. Evaluation of regulations in determining suitable areas for chicken farming using geographic information system (case study in Singkawang, West Kalimantan). Master's Thesis, Bogor Agricultural University, Indonesia.

Greene, R., R. Devillers, J.E. Luther and B.G. Eddy, 2011. GIS-based multiple-criteria decision analysis. Geography Compass, 5: 412-432.

Janssen, R. and P. Rietveld, 1990. Multicriteria Analysis and Geographical Information Systems: An Application to Agricultural Land Use in the Netherlands. In: Geographical Information Systems for Urban and Regional Planning, Scholten, H.J. and J.C.H. Stillwell (Eds.). Kluwer Academic Publishers, Dordrecht, pp: 129-139.

Hossain, M.S. and N.G. Das, 2010. GIS-based multi-criteria evaluation to land suitability modelling for giant prawn (Macrobrachium rosenbergii) farming in Companigonj Upazila of Noakhali, Bangladesh. Comput. Electron. Agric., 70: 172-186.

Kilic, I. and E. Yaslioglu, 2014. Ammonia and carbon dioxide concentrations in a layer house. Asian-Aust. J. Anim. Sci., 27: 1211-1218.

Liaghat, M., H. Shahabi, B.R. Deilami, F.S. Ardabili, S.N. Seyedi and H. Badri, 2013. A multi-criteria evaluation using the analytic hierarchy process technique to analyze coastal tourism sites. APCBEE Procedia, 5: 479-485.

Nekhay, O., J. Gonzalez-Arenas and M. Arriaza, 2008. Suitability assessment of olive plantations for Iberian Lynx habitat restoration. Proceedings of 12th Congress of the European Association of Agricultural Economists, August 26-28, 2008, Ghent.

Park, K.R., A.R. Son, D.S. Nam and C. Kong, 2015. Relationship between environmental temperature and performance indices of commercial broiler farms in Korea. Int. J. Poult. Sci., 14: 463-465.

Prawiradiputra, P., 2008. Land suitability for dairy cattle farm selection using spatial analysis and analytical hierarchy process. Master's Thesis, Bogor Agricultural University, Indonesia.

Saaty, T.L., 1988. Decision making for leaders: The analytical hierarchy process for decisions in a complex world. University of Pittsburg, Pittsburg.

Saaty, T.L., 2008. Decision making with the analytic hierarchy process. Int. J. Serv. Sci., 1: 83-98.

Saaty, T.L., 1980. The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York, USA., ISBN-13: 9780070543713, Pages: 287.

WAPC., 2003. State planning policy 4.3 poultry farms. Western Australia Planning Commission (WAPC), Department of Planning. http://www.planning.wa.gov.au/publications/1179.asp.

Ziaei, M. and F. Hajizade, 2011. Fuzzy analytical hierarchy process (FAHP): A GIS-based multicriteria evaluation/selection analysis. Proceedings of the 19th International Conference on GeoInformatics, June 24-26, 2011, Shanghai, China, pp: 1-6.

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Published

2015-09-15

Issue

Section

Research Article

How to Cite

Wijayanto, A. K., Seminar , K. B., & Afnan, R. (2015). Suitability Mapping for Broiler Closed House Farm Using Analytical Hierarchy Process and Weighted Overlay with Emphasize on Environmental Aspects. International Journal of Poultry Science, 14(10), 577–583. https://doi.org/10.3923/ijps.2015.577.583