PEMBERIAN PRIORITAS PENAMBAHAN GURU SEKOLAH MENENGAH ATAS DI KABUPATEN MAGETAN DENGAN METODE WEIGHTED SUM MODEL
Abstract
Education is one thing that is very mandatory for citizens, especially Indonesia. Apart from clothing, food, shelter, and health, which are other basic needs, education is no less important. The number of teachers is too few to cater for the large number of students, so more teachers are needed. This study aims to give priority to the addition of public high school teachers in Magetan Regency with the Weighted Sum Model method. This research is only limited to being done with a Decision Support System using the Weighted Sum Model method. This research was conducted by collecting data on state high schools in Magetan Regency, East Java Province which was used as an alternative data system and then designing applications using the php and mysql programming languages. This research produces a web- based Expert System Application that implements a Decision Support System with the Weighted Sum Model method. From testing the functionality of the system, the improvement of public high school teachers in Mageten Regency by utilizing the Weighted Sum Model method has succeeded well by 100.
Keywords
References
Cholifah, W. N., Yulianingsih, Y., & Sagita, S. M. (2018). Pengujian Black Box Testing pada Aplikasi Action & Strategy Berbasis Android dengan Teknologi Phonegap. STRING (Satuan Tulisan Riset Dan Inovasi Teknologi), 3(2), 206. https://doi.org/10.30998/string.v3i2.3048
Dewi, E. R. (2018). Metode Pembelajaran Modern Dan Konvensional Pada Sekolah Menengah Atas. Jurnal Ilmu Pendidikan, Keguruan, Dan Pembelajaran, 2(April), 44–52.
Faisal, & Permana, S. D. H. (2015). Sistem Penunjang Keputusan Pemilihan Sekolah Menengah Kejuruan Teknik Komputer Dan Jaringan Yang Terfavorit Dengan Menggunakan Multi-Criteria Decision Making. Jurnal Teknologi Informasi Dan Ilmu Komputer, 2(1), 11. https://doi.org/10.25126/jtiik.201521123
Fajarwati, I., Fitriasari, N. S., & Siregar, H. (2018). Perbandingan Metode Weighted Product ( WP ), Weighted Sum Model ( WSM ) Dan Multi Attribute Utility Theory ( MAUT ) Dalam Sistem Pendukung Keputusan Penerimaan Tenaga Kerja. 1(1), 25–32.
Fathoni, A., Tursina, & Anra, H. (2016). Sistem Pendukung Keputusan Untuk Menentukan Lokasi Wifi.Id Corner PT. Telkom dengan Profile Matching (Studi Kasus : Divisi Wireless Broadband Telkom Kalimantan Barat).
Hendini, A. (2016). Pemodelan UML Sistem Informasi Monitoring Penjualan Dan Stok Barang (Studi Kasus: Distro Zhezha Pontianak). Jurnal Khatulistiwa Informatika, IV(2), 107–116. https://doi.org/10.2135/cropsci1983.0011183x002300020002x
Mesran, Suginam, Nasution, S. D., Utama, A. P., & Siahaan. (2017). Penerapan Weighted Sum Model ( WSM ) Dalam Penentuan Peserta Jaminan. Jurnal Riset Sistem Informasi Dan Teknik Informatika (JURASIK), Volume (2)(1), 40–47.
DOI: 10.24269/jkt.v6i1.1146
DOI (PDF): https://doi.org/10.24269/jkt.v6i1.1146.g587
Refbacks
- There are currently no refbacks.