SISTEM PENDUKUNG KEPUTUSAN UNTUK PENENTUAN KELAS UNGGULAN MENGGUNAKAN METODE WEIGHTED PRODUCT

  • Tiara Widyakunthaningrum -
  • Anton Yudhana Universitas Ahmad Dahlan
  • Abdul Fadlil Universitas Ahmad Dahlan
Abstract views: 168 , PDF downloads: 166

Abstract

MTs Muhammadiyah Wates applies a class selection model based on academic rankings. The application of this class selection model still uses manual means in determining the final score obtained by the students. Featured Classes are classes attended by a number of excellent students with above average intelligence. The grouping of excellent classes aims to have students who have almost the same learning ability in each class. Another goal of featured classes is that teachers will more easily set teaching standards. With the class has been grouped according to the ability of the class students, it is expected that students can receive learning materials optimally.
The purpose of this study was to design the application of the Superior Class Selection Decision Support System in MTs
Muhammadiyah Wates uses Weighted Product method. This method was chosen because it is able to select the best alternatives from a number of alternative advantages in weighting techniques, with the first step determining the weight value that has been determined, determining the criteria of initial weight assessment and calculation of alternative value results.
The study used 23 student data and assessments obtained from the results of grades for two semesters in the seventh grade by applying five criteria. These five criteria are average raport value, raport un score (Bahasa Indonesia, English, Mathematics, Science), psychotest value, interview value and attendance. Data analysis applies the Weighted Product method, which will be computerized with various criteria. From the results of tests conducted using confusion matrix resulted in accuracy value of 86.9%, precision of 81.8%, and recall of 100%. The results of this study prove that Weighted Product can be used in the assessment of superior classes in MTs Muhammadiyah Wates.

Keyword: weighted product, decision support system, superior class, design, calculation.

Downloads

Download data is not yet available.

References

Hafiz Aliy , Kurnaniawan Fathurrahman, Sulasminarti. (2018) Sistem Pendukung Keputusan Kelas Unggulan menggunakan Metode Weighted Product. Seminar Nasional Teknologi dan Bisnis 2018

Riana E. (2018). Implementasi Metode Weighted Product Dan Fuzzy C-Means Dalam Pemilihan Peminatan Jurusan Pada SMA Perguruan Rakyat 2. Jurnal Riset Komputer (JURIKOM). Vol. 5 No 6.

Kusrini.(2007). Konsep dan Aplikasi Sistem Pendukung Keputusan Yogyakarta L Andi Offset

Farida Nur Intan & Mustikasari, E. (2016) Implementasi Metode Weighted Product dalam Sistem Pendukung Keputusan Penerimaan Peserta Didik Baru di UPTD SMA Negeri 1 Gondang. Seminar Nasional Teknologi Informasi dan Multimedia 2016. 1.3-95.

Serelia, E. B., & Adin Saf, M. R. (2020). Sistem Pendukung Keputusan Penentuan Peminatan Siswa Dengan Menggunakan Metode SAW (Simple additive weighting) Pada SMA Negeri dharma Pendidikan. Techno.Com, 19(3), 227-236

Apriliani Dyah, Wiyono Slamet, Mahardhika Septian. (2018) Penerapan Metode Weighted Product Untuk Sistem Pendukung Keputusan Penerima Beasiswa Politeknik Harapan Bersama Tegal

Widianto, F., & Hidayat, T. (2018). Sistem Pendukung Keputusan Pemberian Beasiswa Menggunakan Metode simple additive Weight(SAW) (Studi Kasus : SMP Negeri 2 Mekar Baru Kab. Tangerang). JSiI (Jurnal Sistem Informasi), 5(2)

R. Jauhar Bariq, S. Edy, Y,Novanto.(2020). Sistem Pendukung Keputusan Siswa Kelas Unggulan Menggunakan SAW dan WP(Studi Kasus : SMA Negeri 1 Taman, Sidoarjo)

Cahyanto Yoni Dwi, M. Hindayati. (2016) Penerapan metode WP (Weighted Product) untuk pemelihan Mahasiswa Lulusan Terbaik di Fakultas Teknik Universtas Muhammadiyah Purwokerto Jurnal Juita. Vol. IV Nomer 1

Apriliani Dyah, Wiyono Slamet, Mahardhika Septian. (2018) Penerapan Metode Weighted Product untuk Sistem Pendukung Keputusan Penerima Beasiswa Politeknik Harapan Bersama Tegal.

Wanto, A. (2018). Analisis Penerapan Sistem Pendukung Keputusan Terhadap Seleksi Penerima Beasiswa BBM pada Perguruan Tinggi menggunakan metode SAW

Umar Rusydi, Fadlil Abdul, Yuminah. (2018) Sistem Pendukung Keputusan dengan Metode AHP untuk Penilaian Kompetensi Soft Skill Karyawan

Umar, R., Fadlil, A., & Yuminah, Y. (2018). Sistem Pendukung Keputusan dengan Metode AHP untuk Penilaian Kompetensi soft skill Karyawan. Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika, 4(1), 27.

Lazuardi M. F., Gerhana Y.A., Slamet Cepy. (2018). Sistem Pendukung Keputusan Pemilihan Kelompok Keahlian Menggunakan Metode Weighted Product ( Studi Kasus : Jurusan Teknik Informatika). Sistem Pendukung Keputusan. Vol. 1 No.1.

Harahap, S., & Sumijan, S. (2020). Sistem Pendukung Keputusan Penentuan Jumlah Dan Kualitas Sampah Daur Ulang Menggunakan Metode weight product. Jurnal Informasi dan Teknologi.

Kusumadewi, Sri, dkk. (2006). Fuzzy-Attribute Decision Making (Fuzzy MADM). Yogyakarta : Graha Ilmu

C. Laudon Kenneth & P.Laudon Jane (2008). Sistem Informasi Manajemen Mengelola Perusahaan Digital. Buku 1 Edisi 10. Penerbit Salemba Empat

Rosidin, M., Fadlil Abdul., Yudhana.A. (2019). Sistem Kelas Kata Berhimbunan menggunakan algoritma Porter Stemmer sebagai pembelajaran Bahasa Indonesia. Vol.16 No.1

F. Kartika,. Samadri,. Yudhana.A. (2008). Sistem Informasi Perpustakaan berbasis Web dengan PHP dan Mysql.

Sabiq D.M,.Sunardi,. Yudhana.A.(2020) Monitoring Data Pendidik menggunakan metode Web Engineering.

Triowali Rosandy (2016). “ Perbandingan Metode Nave Bayes Classifier Dengan Metode Decission Tree (C4.5) Untuk Mengalisa Kelancaran Pembiayaan Jurnal TIM Darma

PlumX Metrics

Published
2022-09-01
Section
Articles