SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN SISWA BERPRESTASI; METODE PROFILE MATCHING

  • Zulfahmi Fahmi universitas dharma andalas
  • Faradika Dika universitas dharma andalas
Keywords: The Curriculum 2013,UML, Profile Matching method , KTSP

Abstract

This research was conducted to assist the school in terms of selection of creative students, especially those using Kurikulum 2013 or better known as K-13. We conclude that the subjective application of student achievement with the 2006 curriculum is more commonly referred to as Kurikulum Tingkat Satuan Pendidikan (KTSP) has been widely circulated schools. The limits given in the decision support system of selecting student achievement include the determination of criteria and using Profile Matching method which leads to the determination of GAP value, the smaller the gap value the greater the chance to be selected as a student achievement. In designing applications researchers use using tools such as UML ( Unified Modeling Language) in order to make it easier to move the concept of a system designed into the form of the program.

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References

Alter, S. (2004). A work system view of DSS in its fourth decade. Decision Support Systems. https://doi.org/10.1016/j.dss.2003.04.001

Indapuri, M. (2014). SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN SISWA BARU DENGAN MENGGUNAKAN METODE PROFILE MATCHING ( STUDI KASUS : MTs . ALWASLIYAH TANJUNG MORAWA ). Pelita Informatika Budi Darma, VI(2), 85–91. Retrieved from http://www.pelita-informatika.com/berkas/jurnal/18. Maulidia.pdf

Isaias, P., & Issa, T. (2015). High level models and methodologies for information systems. High Level Models and Methodologies for Information Systems, 1–145. https://doi.org/10.1007/978-1-4614-9254-2

Daihani, Dadan Umar. 2001. Komputerisasi Pengambilan Keputusan. PT Elex Media Komputindo. Jakarta.

Hermawan, Julius. 2005. Membangun Decision Support System. Andi. Yogyakarta.

Imamuddin, Mohammad dan Kadri, Trihono. 2006. Penerapan Algoritma AHP Untuk Prioritas Penanganan Bencana Banjir. Seminar Nasional Aplikasi Teknologi Informasi (SNATI 2006). 17 Juni 2006, Yogyakarta, Indonesia hal. B39-B42.

Kusumadewi, Sri. 2003. Artificial Inteligence (Teknik dan Aplikasinya). Graha Ilmu. Yogyakarta.

Kusrini. 2007. Konsep Dan Aplikasi Sistem Pendukung Keputusan. Andi. Yogyakarta

Arno, S., 2018. SISTEM INFORMASI GEOGRAFIS OBJEK WISATA KABUPATEN LIMA PULUH KOTA UNTUK MENDUKUNG PROMOSI PARIWISATA DAERAH. Jurnal Sains dan Informatika, 4(2), p.118.

Sularno, S. and Anggraini, P., 2017. PENERAPAN ALGORITMA C4.5 UNTUK KLASIFIKASI TINGKAT KEGANASAN HAMA PADA TANAMAN PADI (Studi Kasus : Dinas Pertanian Kabupaten Kerinci). Jurnal Sains dan Informatika, 3(2), p.161.

Published
2019-01-04
How to Cite
Fahmi, Z., & Dika, F. (2019). SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN SISWA BERPRESTASI; METODE PROFILE MATCHING. Jurnal Teknologi Dan Sistem Informasi Bisnis, 1(1), 30-37. https://doi.org/10.47233/jteksis.v1i1.4
Section
Articles