EVALUASI KEMAMPUAN DAN PENGHITUNGAN PERINGKAT SISWA MENGGUNAKAN METODE TOPSIS DAN ENTROPY

  • Muhammad Ghalih Politeknik Negeri Tanah Laut
    (ID)
  • Siti Rohanah MTS Negeri 1 Tanah Laut
    (ID)

Abstract

Abstract:

In this study uses techniques for order preference by similarity to ideal solution (TOPSIS) combined within formation Entropy weight to examine the performance of 5 best students. Calculations in teaching and research and improvement ability reveal the short-term and long-term performance. Exact values and intervals characterize the attribute values in the current model. A comparison and experimental analysis show the applicability, feasibility, effectiveness, and advantages of the proposed method. In this study focus on the TOPSIS and Entropy to calculate the student's performance. First, in this study the rationality of TOPSIS conferring to the standard decision theory. It forms that TOPSIS also has a built-in multi-attribute value meaning that not revealed explicitly. To this point, this has been a unknown feature of TOPSIS. Second, Entropy applied for the decision maker's (DM) behavioral propensity into TOPSIS. Finally, to advance evaluation accuracy of student performance, TOPSIS and Entropy applied to ranking the student with several criteria such as Presence (C1), Assignment (C2), Attitude (C3), Midterm-Exam (C4), and Final Exam (C5). 

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References

Ahmad, L. O. I. (2017). Konsep Penilaian Kinerja Guru Dan Faktor yang Mempengaruhinya. Jurnal Idaarah, I(1), 133–142.

Candra Surya. (2018). Penilaian Kinerja Dosen Menggunakan Metode TOPSIS (Studi Kasus : AMIK Mitra Gama). Jurnal RESTI (Rekayasa Sistem Dan Teknologi Informasi), 2(1), 322–329.

Faesal, A., Fauziati, S., & Soesanti, I. (2017). Implementasi Metode AHP dan TOPSIS untuk menentukan Mutu Dosen. Seminar Nasional TIK Dan Ilmu Sosial (SocioTech) 2017, 7–13.

Herawatie, D., & Wuryanto, E. (2017). Sistem Pendukung Keputusan Pemilihan Mahasiswa Berprestasi dengan Metode Fuzzy TOPSIS. Journal of Information Systems Engineering and Business Intelligence, 3(2). https://doi.org/http://dx.doi.org/10.20473/jisebi.3.2.92-100

Maisari, K. D., Andreswari, D., & Efendi, R. (2017). Pembobotan Entropy Untuk Penentuan Calon Penerima Bantuan Siswa Miskin ( BSM ) APBD Kota Bengkulu ( Studi Kasus : SMAN 8 Kota Bengkulu ). Jurnal Rekursif, 5(2). Retrieved from http://ejournal.unib.ac.id/index.php/rekursif/

Manirah. (2017). Evaluasi belajar peserta didik (siswa). Jurnal Idaarah, I(36), 257–267.

Marbun, M., & Sinaga, B. (2017). Sistem Pendukung Keputusan Penilaian Hasil Belajar Mahasiswa Dengan Metode TOPSIS di Stmik Pelita Nusantara Medan. Jurnal Manajemen Dan Informatika Pelita Nusantara, 1(2), 9–15.

Rupang, M. A., & Kusnadi, A. (2018). Implementasi Metode Entropy dan Topsis Dalam Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik. ULTIMA Computing, X(1), 13–18.

Sucipto, H., Kusrini, & Fatta, H. Al. (2017). Sistem Pendukung Keputusan Penerimaan Siswa Baru dan Penjurusan Pada Sekolah Menengah Kejuruan(SMK). Jurnal Ekonomi Dan Teknik Informatika, 5(2).

Syamsuddin. (2017). Penerapan Fungsi-Fungsi Manajemen Dalam Meningkatkan Mutu Pendidikan. Jurnal Idaarah, I(1), 3–4.

Published
2018-12-31
Section
Vol 2 No 2
Abstract viewed = 568 times