MOBILE-BASED ONLINE EXAM APPLICATIONS USING PROBLEM WEIGHT CLASSIFICATION TECHNIQUES, GROUPING AND RANDOMIZING

Aplikasi Ujian Online Berbasis Mobile Menggunakan Teknik Klasifikasi Bobot Soal, Pengelompokan Dan Pengacakan

  • Muhammad Iqbal (1*) STMIK Nusa Mandiri
  • Abdul Hamid (2) Universitas Bina Sarana Informatika, Jakarta, Indonesia
  • Nuraeni Herlinawati (3) STMIK Nusa Mandiri, Jakarta, Indonesia
  • Mochammad Abdul Azis (4) STMIK Nusa Mandiri, Jakarta, Indonesia
  • Muhammad Rezki (5) STMIK Nusa Mandiri, Jakarta, Indonesia
  • Ali Mustopa (6) STMIK Nusa Mandiri, Jakarta, Indonesia

  • (*) Corresponding Author
Keywords: Application, Online Test, Mobile, Classification, Question Weight

Abstract

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.

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Published
2020-03-19
How to Cite
Iqbal, M., Hamid, A., Herlinawati, N., Azis, M., Rezki, M., & Mustopa, A. (2020). MOBILE-BASED ONLINE EXAM APPLICATIONS USING PROBLEM WEIGHT CLASSIFICATION TECHNIQUES, GROUPING AND RANDOMIZING. Jurnal Techno Nusa Mandiri, 17(1), 43-50. https://doi.org/10.33480/techno.v17i1.1229
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