PENERAPAN FUZZY ANALYTIC NETWORK PROCESS (FANP) UNTUK PENENTUAN PRIORITAS KRITERIA PADA PEMILIHAN MAHASISWA BERPRESTASI DI UNESA

APPLICATION OF FUZZY ANALYTIC NETWORK PROCESS (FANP) TO DETERMINE CRITERIA PRIORITY IN SELECTING ACHIEVEMENT STUDENTS IN UNESA

Pemilihan mahasiswa berprestasi perlu dilakukan pada setiap perguruan tinggi, agar potensi yang dimiliki mahasiswa berupa hard skills dan soft skills dapat meningkat dan prestasi yang diperoleh lebih baik. Hard skills dan soft skills mahasiswa dapat dikembangkan dengan mengikuti berbagai kegiatan yang telah dibuat oleh jurusan, fakultas, maupun kampus. Mahasiswa berprestasi yang disebutkan dalam hal ini harus memiliki prestasi baik dibidang akademik maupun non akademik. Pada Pemilihan Mahasiswa Berprestasi (Pilmapres) terdapat beberapa syarat kriteria yang harus dipenuhi. Untuk menentukan prioritas kriteria yang mempengaruhi dalam Pilmapres ini perlu dilakukan perhitungan bobot setiap kriteria. Pada penelitian ini digunakan metode Fuzzy Analytic Network Process (FANP). Metode Fuzzy Analytic Network Process (FANP) merupakan gabungan antara metode fuzzy dan metode Analytic Network Process (ANP). Dengan digunakannya metode FANP dapat diketahui bahwa kriteria yang sangat berpengaruh adalah kriteria prestasi kompetisi bidang dimana bobot sebesar 22%, kriteria tingkat penghargaan sebesar 17,9%, bobot kriteria hasil capaian unggulan sebesar 14,1%, bobot kriteria penghargaan capaian unggulan sebesar 11,9%, bobot kriteria peran dalam capaian unggulan sebesar 11,6%, bobot kriteria identitas pendaftar sebesar 10,9%, dan bobot kriteria karier di organisasi sebesar 7,6%. Untuk subkriteria yang mempengaruhi dalam Pilmapres diantaranya adalah temuan inovatif yang memiliki bobot 27,6%, subkriteria karya 26,9% dan subkriteria produk 25,6%.

The selection of outstanding students needs to be done at each university, so that the potential possessed by students in the form of hard skills and soft skills can be increased and the achievements obtained are better. Hard skills and soft skills can be developed by the students participate in various activities that have been made by the department, faculty, and campus. Outstanding students mentioned in this regard should have a good performance in academic and non academic. In the Achievement Student Selection (Pilmapres) there are several criteria that must be met. To determine the priority criteria that influence in this Pilmapres it is necessary to calculate the weight of each criterion. In this study the Fuzzy Analytic Network Process (FANP) method is used. Fuzzy Analytic Network Process (FANP) method is a combination of fuzzy method and Analytic Network Process (ANP) method. By using the FANP method it can be seen that the criteria which are very influential are the criteria for the achievement of field competition where the weight is 22%, the award rate criteria is 17,9%, the weighting criteria for the superior performance results is 14,1%, the weighting criteria for the superior performance award is 11,9%, the weighting of the role criteria in the superior achievements was 11,6%, the weighting of the registrant identity criteria was 10,9%, and the weighting of the career criteria in the organization was 7,6%. For the sub-criteria that influence in the Pilmapres, among others, are innovative findings which have a weight of 27,6%, a work subcriteria 26,9% and a product subcriteria 25,6%.