SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN TINGKAT PEMAHAMAN PADA TES TOEIC PREDICTION BERBASIS WEBSITE DENGAN METODE SIMPLE ADDITIVE WEIGHTING (STUDI KASUS : INSTITUT TEKNOLOGI DIRGANTARA ADISUTJIPTO YOGYAKARTA)

Ayu Indraini, Trianida (2022) SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN TINGKAT PEMAHAMAN PADA TES TOEIC PREDICTION BERBASIS WEBSITE DENGAN METODE SIMPLE ADDITIVE WEIGHTING (STUDI KASUS : INSTITUT TEKNOLOGI DIRGANTARA ADISUTJIPTO YOGYAKARTA). Skripsi thesis, Institut Teknologi Dirgantara Adisutjipto.

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Abstract

Test of English for International Communication (TOEIC) is a type of test for someone who does not use English as the language of instruction. At the ITDA campus, the TOEIC prediction test is used because later this D3 Aeronautics graduate will work in an environment that uses English to communicate. The problem that occurs is that technological trends are increasingly advanced and the pandemic has resulted in paper-based tests switching to online test platforms available on the internet, so there is no privacy for question data, answers and student data. From the existing problems, a website-based TOEIC prediction test system was made which is equipped with the Simple Additive Weighting (SAW) method which is used to determine the level of student understanding. SAW is a method of adding weights from the performance of each object that is different and has the same opportunity on all the criteria it has. The criteria used in this study are: listening, and reading. In black box testing, the results show that the application can run well. The test results of the TOEIC prediction test score of a maximum value of 990 and the students obtained the highest score of 885 and the largest value of 0.98 in SAW obtained the level of understanding that is ""Advanced"". The TOEIC prediction test on the tutor obtained the highest score of 935 and the largest value on SAW of 1.00 obtained the level of understanding that is ""Advanced"". The results of the questionnaire that has been filled out by 33 respondents get a conversion value of the Likert scale score of 3.52 with a very high category.

Item Type: Thesis (Skripsi)
Subjects: Q Science > Q Science (General)
Divisions: Institut Teknologi Dirgantara Adisujtipto > Informatika
Depositing User: MS Trianida ayu
Date Deposited: 01 Apr 2024 02:39
Last Modified: 01 Apr 2024 02:39
URI: http://eprints.stta.ac.id/id/eprint/1420

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