Fuzzy Implementation for Land Spatial Planning
Gernowo R., Riansyah A., Suryono, Kurniadi D.
Abstract
This research was carried out to determine land use with the mapping concept by implementing the fuzzy method in the Kudus district. Land use is one way of utilizing basic resources that has a strategic role and function because in general, the correct land use process will impact the ecosystem. Appropriate land use is necessary to support sustainable development. The purpose of this research is to implement fuzzy into a decision support system. The variables used as input were rainfall, land slope, soil type, and population density which were normalized using reverse score normalization and min-max normalization. The output of the fuzzy process was in the form of a defuzzification value which was then classified according to the type of land use desired and displayed on the mapping of the area. The fuzzy method was used because of the data acquisition and analysis process advantages that contain uncertainty or ambiguity. The results showed that the fuzzy method is the right solution in determining the mapping in determining the function of land into agriculture, plantations, production forests, and protected forests.
Evaluating land suitability for spatial planning in arid regions of eastern Iran using fuzzy logic and multi-criteria analysis
Akbari M., Neamatollahi E., Neamatollahi P.
Land suitability assessments for yield prediction of cassava using geospatial fuzzy expert systems and remote sensing
Ahamed T., Ayu Purnamasari R., Noguchi R.
Integrated fuzzy, AHP and GIS techniques for land suitability assessment in semi-arid regions for wheat and maize farming
Matinfar H.R., Pilevar A.R., Sarmadian F., Sohrabi A.
Extended Tsukamoto ' s inference method for solving multi-objective linguistic optimization problems
Gupta P.K., Muhuri P.K.
Determination of freight rates based on package dimension and distance of delivery using fuzzy logic system in angkotin application
Atletiko F.J., Rakhmawati N.A., Ts H.A., Atletiko F.J., Rakhmawati N.A., Ts H.A.
Data acquisition in determining lab work assesment ranking using Fuzzy Analytic Hierarchy Process (FAHP)
Cholid F.A., Haddin M., Ismail M., Marwanto A., Riansyah A., Cholid F.A., Haddin M., Ismail M., Marwanto A., Riansyah A., Cholid F.A., Haddin M., Ismail M., Marwanto A., Riansyah A., Cholid F.A., Haddin M., Ismail M., Marwanto A., Riansyah A., Cholid F.A., Haddin M., Ismail M., Marwanto A., Riansyah A.
Mobile Expert System Using Fuzzy Tsukamoto for Diagnosing Cattle Disease
Diana, Nugroho A., Suharjito, Yulyanto, Diana, Nugroho A., Suharjito, Yulyanto
Fuzzy tsukamoto implementation on internet of things to control flooding
Kurniadi D., Riansyah A., Saebani, Kurniadi D.S., Riansyah A., Kurniadi D., Riansyah A., Kurniadi D., Riansyah A.
Beyond mere pollution source identification: Determination of land covers emitting soil heavy metals by combining PCA/APCS, GeoDetector and GIS analysis
Christakos G., Christakos G., He M., Yang X., Yang Y.
Problematic determination of sustainable food land policy in east java
Kurniawati U.F., Siswanto V.K.
Qomaruddin M., Riansyah A., Indriastuti M., Sagaf M.
International Conference on Electrical Engineering Computer Science and Informatics Eecsi
Qomaruddin M., Riansyah A., Hermawan H.M.
International Journal of Advances in Applied Sciences