Sistem Pendukung Keputusan Penentuan Lembaga Kursus Bahasa Inggris dengan Metode Simple Additive Weight

Abstract

Abstrack -There are several English tests that are used to assess an individual's ability. This test is used for various things such as getting scholarships, employment, college admission and employment in several state-owned enterprises. This has encouraged many people to join a study program to prepare for the test. However, in the selection of English language course institutions, the manual method is still inefficient. Therefore, it is important to build a decision support system using the Simple Additive Weight method which can help in determining the English language course institution. This system is created and designed using UML, the system is made using the PHP programming language and the database is MYSQL. The final result of the SAW calculation is a ranking that is ordered based on the preference value of each alternative that has the highest value. Based on data from the TOEFL, IELTS and TOEIC course institutions in the city of Pekanbaru, the LTI Panam Toefl 2 Reg alternative is recommended as a TOEFL English course, the Panam Ielts LTI alternative is recommended as an IELTS English course, and the LTI Panam Toeic Reg alternative is recommended as a course English TOEIC.

Sistem Pendukung Keputusan Pemilihan Menu Makan untuk Balita Menggunakan Metode Weight Product

“…Penelitian yang menerapkan Metode Weight Product dalam pengambilan keputusan telah banyak dilakukan di berbagai kasus antara lain dalam penentuan karyawan terbaik [15], diagnosis penyakit paru-paru [16]. Selanjutnya SPK dengan menggunakan metode lain antara lain untuk menentukan kursus Bahasa Inggris [17], sebagai pertimbangan dalam menentukan zona risiko Covid-19 [7], dimana kedua kasus tersebut menerapakan Metode Simple Additive Weight dalam pengambilan keputusan. Selain itu untuk menentukan pemberian vaksin Covid-19 menggunakan Analytical Hierarchy Prosess [18], penentuan perubahan jabatan kepegawaian menggunakan Decision Table [19], penentuan kenaikan jabatan menggunakan Metode Algoritma Naïve Bayes Classifier [20], penerapan Metode Profile Matching dalam pemilihan karyawan terbaik [21].…”