SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN BEASISWA BIDIKMISI DI UINSA DENGAN MENGGUNAKAN ANALYTICAL HIERARCHY PROCESS (AHP)

Mila Iflakhah, M. Hafiyusholeh
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引用次数: 0

Abstract

Abstrak:

            Beasiswa merupakan pemberian bantuan biaya pendidikan kepada mahasiswa yang mampu dalam bidang akademik tetapi tidak dalam perekonomian. Namun masih sering terjadi kendala dalam pemrosesan seleksi pendaftar beasiswa, yaitu banyaknya kriteria yang harus diperhatikan dan banyaknya data pendaftar sehingga pengambilan keputusan menjadi relatif lebih sulit. Tujuan dari penelitian ini adalah memberikan alternatif dalam pengambilan keputusan penerima bantuan beasiswa untuk mahasiswa fakultas sains dan teknologi UINSA dengan menggunakan metode Analytical Hierarchy Process (AHP). Data yang diolah adalah data primer yang diperoleh dari angket. Data yang telah terkumpul selanjutnya dianalisis dengan matriks perbandingan berpasangan untuk menentukan nilai eigen dan vektor eigen. Hasil penelitian menunjukkan bahwa dari 39 pendaftar diperoleh 12 pendaftar yang menjadi prioritas dalam mendapatkan beasiswa Bidikmisi. Berturut-turut mahasiswa dengan kode Z1, Z2, Z5, Z7, Z10, Z19, Z20, Z21, Z23, Z29, Z32, Z35 dengan masing-masing bobot sebesar 0.34%, 0.27%, 0.27%, 0.28%, 0.36%, 0.33%, 0.29%, 0.31%, 0.34%, 0.29%, 0.27%, 0.35%.

 

Kata Kunci:

Vektor Eigen, Analytical Hierarchy Process (AHP), Nilai Eigen

 

Abstract:

The scholarship is the provision of tuition assistance to students who are capable of academics but have difficulties economically. However, some obstacles are often found throughout the screening process of scholarship applicants, such as the number of criteria to fulfill and the number of registrant data that results in difficulties in making a decision. This study aims to provide an alternative in decision making on the screening process of scholarship applicants for students from the Faculty of Science and Technology at the Universitas Islam Negeri Sunan Ampel by using the Analytical Hierarchy Process (AHP). The data processed are from the primary data obtained from questionnaires. The data obtained were analyzed by using a pairwise comparison matrix to determine the eigenvalues and eigenvectors. The results indicate that of 39 registrants, 12 of them became a priority in getting the Bidikmisi scholarship. Consecutively, students with codes Z1, Z2, Z5, Z7, Z10, Z19, Z20, Z21, Z23, Z29, Z32, Z35 have the score of 0.34%, 0.27%, 0.27%, 0.28%, 0.36%, 0.33%, 0.29%, 0.31%, 0.34%, 0.29%, 0.27%, 0.35%.

 

Keywords:

Eigenvector, Analytical Hierarchy Process (AHP), Eigenvalue
抽象:奖学金是对学术界但经济能力较低的学生的教育成本的一种解脱。然而,奖学金筛选过程中仍然存在问题,即应遵守的标准和注册数据的数量使得决策相对困难。本研究的目的是用分析分析过程(AHP)为UINSA科学系学生提供奖学金帮助的决定提供另一种选择。处理的数据是通过分期付款获得的主要数据。收集的数据随后通过对偶比较矩阵进行分析,以确定eigen值和eigen向量。研究表明,在39名申请者中,有12人获得了任务前奖学金。学生编号Z1 Z2 Z5 Z7 Z10 Z10关键词:Eigen向量,分析学位(AHP), Eigen Abstract值:学术界对学生的学习是可以理解的,但经济困难。However,一些obstacles经常发现腐败应用程序的发布过程,这就像针对fulfill和用于执行决策困难的存储数据的登记号码。这项研究旨在提供另一种选择,即在伊斯兰国伊斯兰大学(islamic state university)对科学技术问题的学生进行筛选程序。经过验证的数据来自原始问题的数据。分析数据是通过使用一个调解器矩阵来确定eigenvalues和eigenvectors来分析的。再生的原因是39个注册,其中12个成为奖学金的首要任务。Consecutively,以Z1、Z2、Z5、Z10、Z10、Z20、Z21、Z21、Z29、Z32、Z35的分数为0.34%、keyword:Eigenvector,分析等级制度,Eigenvalue
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