Open AccessMOBILE-BASED ONLINE EXAM APPLICATIONS USING PROBLEM WEIGHT CLASSIFICATION TECHNIQUES, GROUPING AND RANDOMIZING
Author(s) -
Muhammad Iqbal,
Abdul Hamid,
Nuraeni Herlinawati,
Mochammad Abdul Azis,
Muhammad Rezki,
Ali Mustopa
Publication year - 2020
Publication title -
techno nusa mandiri/techno nusa mandiri
Language(s) - English
Resource type - Journals
eISSN - 2527-676X
pISSN - 1978-2136
DOI - 10.33480/techno.v17i1.1229
Subject(s) - computer science , cheating , android (operating system) , test (biology) , black box testing , process (computing) , multimedia , mobile device , white box testing , best practice , machine learning , artificial intelligence , world wide web , software , psychology , social psychology , paleontology , software construction , management , software system , programming language , operating system , economics , biology
Education is an agenda for designing the country's development. Implementation in the field of education is a joint responsibility of both the government and the community, educational institutions are one that plays an important role in the ongoing learning process activities one of which is the examination activities. The test is an evaluation of the learning process to obtain learning outcomes as a form of achievement recognition or completion in an educational unit. The test is still cheating, it is triggered by the lack of confidence in working on the exam questions and the same type of exam questions will provide an opportunity to chat and work together. The author aims to provide a solution in the form of the application of online-based online test applications using question weight classification techniques, grouping and randomization. This mobile-based online exam application was developed using the waterfall model. The results obtained from research on this mobile-based exam application has features to prevent screen capture or screenshots, prevent video recording or video recorder and prevent switching applications that can run multiplatform on Android and iOS. This application has been through the process of testing the user and distributing questionnaires to determine the feasibility of using the weight classification technique with a percentage of 80% so it is suitable for use in examination activities.