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All Journal JSR : Jaringan Sistem Informasi Robotik TIN: TERAPAN INFORMATIKA NUSANTARA
Trisno Trisno
STIMIKOM Stella Maris Sumba
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PENERAPAN METODE SIMPLE ADDITIVE WEIGHT UNTUK MENENTUKAN MURID TERBAIK PADA BIMBEL BEYOND Salahudin Robo; Putra Fajar Ramadhan; Candra Surya; Tri Kurniah Lestari; Paulus Mikku Ate; Trisno Trisno
JSR : Jaringan Sistem Informasi Robotik Vol 7, No 2 (2023): JSR: Jaringan Sistem Informasi Robotik
Publisher : AMIK Mitra Gama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58486/jsr.v7i2.252

Abstract

Mendapat murid hebat adalah motto pengajaran Beyond Education Center. Oleh karena itu, Bimbel Beyond selalu mendorong muridnya untuk menaikkan kualitasnya dengan cara mengevaluasi siswa menggunakan berbagai faktor penilaian sehingga bisa mencapai persyaratan penerimaan yang telah ditetapkan. Sistem pendukung keputusan (SPK) sering didefinisikan sebagai sistem yang dapat menemukan solusi dan memecahkan masalah. Tujuan dari SPK bukan untuk menggantikan posisi para pengambil suatu keputusan, tetapi untuk mendukung para pembuat keputusan. Metode yang banyak digunakan pada sistem keputusan yaitu Simple Additive Weighting (SAW). Metode SAW dipakai karena bisa memberikan bobot pada fitur-fitur kemudian diteruskan dengan perangkingan, memilih opsi terbaik dari beberapa opsi. Pada hal ini tujuannya adalah memakai metode SAW untuk mencari murid terbaik dalam pembelajaran Beyond Education Jayapura. Evaluasi yang lebih akurat diharapkan dari metode klasifikasi ini, karena mendasar pada setiap kriteria dan pembobotan yang telah ditetapkan untuk mencapai hasil yang terbaik
Penerapan Metode SAW (Simple Additive Weighting) untuk Pemilihan Kain Terbaik Salahudin Robo; Ayu Rahmawati Rumalean; Trisno Trisno; Rahmat Surya Baskara; Sahlan M Saleh
TIN: Terapan Informatika Nusantara Vol 4 No 1 (2023): June 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v4i1.4185

Abstract

The many types of fabrics at the Modiss Textile store provide choices according to consumer tastes. However, purchases at this fabric store are still processed manually and not computerized. In selecting fabrics, consumers only focus on color and price tags. This research was conducted at the Modiss Textile & Taylor store, which is a store engaged in fashion retail. In completing this research, several research methods were used to collect data, namely interviews, observations and the application of the saw method. Based on the results of collecting data on fabric selection, criteria are needed in making decisions. The application of the SAW (Simple Additive Weighting) method has the greatest value from the calculation of the value of Vi obtained by alternative fabrics, namely Spandex Fabric with a value of 0.875, Brukat Lace Fabric with a value of 0.8, Italian Wool fabric with a value of 0.775. The purpose of this research is to create a decision support system that can be used by Modiss Textile & Taylor's customers in selecting fabrics that match the criteria provided by the store, namely fabric type, color, price, texture, and quality. Then the desired result is a decision support system that can be used by customers or consumers to choose fabrics at the Modiss Textile & Taylor store
Co-Authors Ayu Rahmawati Rumalean Candra Surya Paulus Mikku Ate Putra Fajar Ramadhan Rahmat Surya Baskara Robo, Salahudin Sahlan M Saleh Tri Kurniah Lestari