Universitas Diponegoro, Indonesia
BibTex Citation Data :
@article{JMASIF41019, author = {Alfania Handayani and Adi Wibowo}, title = {Analisis Pengaruh Pemilihan Jumlah Variabel Linguistik Membership Function pada Metode Fuzzy Simple Additive Weighting (FSAW) untuk Perankingan Penerimaan Beasiswa Bagi Siswa Kurang Mampu (Studi Kasus : Sekolah Dasar Negeri Petompon 02 Semarang)}, journal = {Jurnal Masyarakat Informatika}, volume = {12}, number = {1}, year = {2021}, keywords = {Penerimaan Beasiswa, Analisis Pemilihan Jumlah Variabel Linguistik, Fuzzy Simple Additive Weighting, Nilai Akurasi}, abstract = {SDN Petompon 02 Semarang merupakan salah satu Sekolah Dasar Negeri yang memiliki program beasiswa \"Bumbung Kemanusiaan\" yang ditujukan bagi siswa yang kurang mampu. Oleh karena itu diperlukan perankingan siswa untuk memilih calon penerima beasiswa. Pengumpulan data untuk penelitian ini didapatkan melalui wawancara dengan Kepala Sekolah SDN Petompon 02 Semarang untuk mendapatkan kriteria penerimaan beasiswa. Terdapat 5 kriteria untuk penerimaan beasiswa yaitu kepemilikan kartu miskin, rata-rata raport semester terakhir, kepemilikan piagam, penghasilan orang tua, dan tanggungan orang tua. Permasalahan ini merupakan permasalahan dunia nyata, sehingga data yang dikumpulkan biasanya melibatkan beberapa jenis ketidakpastian. Salah satu solusi dalam pengambilan keputusannya adalah memodelkan dengan fuzzy. Di dalam Metode Fuzzy Simple Additive Weighting terdapat pemilihan variabel linguistik membership function, dimana skala tersebut sangat berpengaruh bagi perhitungan pada metode. Penelitian ini bertujuan untuk menganalisis pemilihan jumlah variabel linguistik membership function untuk mendapatkan nilai preferensi yang sesuai dan nilai akurasi. Penelitian ini melakukan 2 percobaan yaitu dengan memilih jumlah variabel linguistik 5 dan jumlah variabel linguistik 7. Hasil penelitian menunjukkan nilai akurasi yang lebih baik pada pemilihan jumlah variabel linguistik 7 menggunakan metode Fuzzy Simple Additive Weighting mencapai 96,08%.}, issn = {2777-0648}, pages = {19--28} doi = {10.14710/jmasif.12.1.41019}, url = {https://ejournal.undip.ac.id/index.php/jmasif/article/view/41019} }
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