Wind farm Site Selection Base On Fuzzy Analytic Hierarchy Process Method; Case Study Area Nganjuk Teuku Multazam 1 , Ratna Ika Putri 2 Department of electrical engineering Faculty of Industrial Technology ITS Surabaya, Indonesia E-mail: teuku.multazam@gmail.com 1 , ratna.ika@14mhs.ee.its.ac.id 2 Margo Pujiantara 3 , Ardyono Priyadi 4 , Mauridhi Hery P 5 Department of electrical engineering Faculty of Industrial Technology ITS Surabaya, Indonesia Margo@ee.its.ac.id 3 , priyadi@ee.its.ac.id 4 , hery@ee.its.ac.id 5 Abstract The selection of site wind farm is an important element in building a wind power generation to get a site that is capable of produce maximum energy, economic and environmental agreeable. It is obtained if proposed alternative sites has continuous wind resources, access to the grid, good topography, land costs are cheap, reduce noise blade and available road access. The site proposed of study is Sukomoro, Rejoso, Lengkong, Nganjuk and Pace. It will be decided using Fuzzy Analytic Hierarchy Process (F-AHP) based on multi criteria eg, technical, economic and environment. The decision making process is decided by compare each element of main criteria with each of alternative so that to get a best site, it is best highest weight to recommend. In this study show that, weight of final is resulted by each alternative are Sukomoro is 0.3205, Rejoso is 0.1632, Lengkong is 0.1218, Nganjuk is 0.3095 and Pace is 0.0602. Based on testing, Sukomoro to get highest weight so that it is recommended for use by governments and companies electricity as a reference in policy formulation and calculate cost of electricity. Keywords Analytic Hierarchy Process (AHP), Fuzzy Analytic Hierarchy Process (F-AHP), Wind farm, Wind Power Criteria. I. INTRODUCTION Wind power become one of many sources on renewable energy is converted into electrical energy [1-2]. The quality and quantity is resulted by selection wind farm. Those factor are influenced by availability of wind, distance to grid, topography, continuity, land of costs, available road access, reduce noise blade [3-8], parameters are used also reference in determining alternative wind farm site. Nganjuk regency is one area in East Java province that have wind potential. Based on data of department meteorology climatology and geophysic, average wind speed is 9 s/d 12 m/s. The wind speed in an area is determined on the topography. Based on data from BMKG, the average wind speed in Nganjuk city by 9 s/d 12 m/s. It is determined on the topography. The accuracy on site decision can be affect to success of government and entrepreneurs in building wind power generation. Currently, methods of decision-making has been developed by researchers such as, Goal Question Metric [9], Decision Making Trial and Evaluation Laboratory [10], Analytic Network Process (ANP) Analytic Hierarcy Process (AHP) [11], and Fuzzy AHP [12], it can be to solve problem of multi criteria and complex. Generally AHP methods is commonly used [4] but it is has not been able to solve problem that subjective [12]. In cases, Fuzzy AHP is best method used to solve multi-criteria problem by using interval value.[19]. Therefore in this study researcher use method of Fuzzy AHP (F-AHP) in determine site of wind farm based on multi criteria. It used consist technical, economic and environment. Alternative used in this paper is Sukomoro, Rejoso, Lengkong, Nganjuk and Pace. These will be decided to get best site for a wind farm development using the F-AHP. II. WIND FARM Wind farm is a site to contain of wind turbines that used to generate electricity. In determining obtain a best site required three main criteria eg, technical, economic and environmental. [3-8], it have many factors contained [5, 14-18]. Wind; This source greatly affects survival of wind power generation. Energy volume is converted depends on wind speed and blade length [14]. Topography; These criteria are very functional because it is used to determine placement and spacing turbines on a wind farm. [15]. Access road; availability of access roads expedite build of wind power generation [5]. Access grid; It connection of wind power to electricity grid can facilitate distribution of power to consumers (16). Operating costs; It used to pay operator in managing and overseeing wind power generation system. (17). Cost of land; It used purchasing land to be used as a wind farm area [5]. Cost of construction; It used to build wind turbines where a lot of necessary equipment such as civil, machinery, electrical equipment control. [5] Environment; It used to get a site environmental agreeable and reduce negative effect to society as noise blade. [18].