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All Journal International Journal of Education Jurnal Edukasi dan Penelitian Informatika (JEPIN) Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal Ilmiah KOMPUTASI Jurnal Teknologi dan Sistem Komputer Jurnal Sustainable: Jurnal Hasil Penelitian dan Industri Terapan Jurnal Teknologi dan Riset Terapan (JATRA) Journal of Computer Networks, Architecture and High Performance Computing Jurnal Anugerah: Jurnal Pengabdian Kepada Masyarakat Bidang Keguruan dan Ilmu Pendidikan Journal of Innovation and Technology
Martaleli Bettiza
Department Of Informatics, Faculty Of Engineering, Universitas Maritim Raja Ali Haji Jl. Politeknik Senggarang, Tanjungpinang
Aerospace Engineering Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Physics Social Sciences Other

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Journal : Jurnal Teknologi dan Sistem Komputer

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Predictive Adaptive Test with Selective Weighted Bayesian Through Questions and Answers Patterns to Measure Student Competency Levels Tekad Matulatan; Martaleli Bettiza; Muhamad Radzi Rathomi; Nola Ritha; Nurul Hayaty
Jurnal Teknologi dan Sistem Komputer Volume 7, Issue 2, Year 2019 (April 2019)
Publisher : Department of Computer Engineering, Engineering Faculty, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (333.815 KB) | DOI: 10.14710/jtsiskom.7.2.2019.83-88

Abstract

Computer Assisted Testing (CAT) system in Indonesia has been commonly used but only to displaying random exam questions and unable to detect the maximum performance of the test participants. This research proposes a simple way with a good level of accuracy in identifying the maximum ability of test participants. By applying the Bayesian probabilistic in the selection of random questions with a weight of difficulties, the system can obtain optimal results from participants compared to sequential questions. The accuracy of the system measured on the choice of questions at the maximum level of the examinee alleged ability by the system, compared to the correct answer from participants gives an average accuracy of 75% compared to 33% sequentially. This technique allows tests to be carried out in a shorter time without repetition, which can affect the fatigue of the test participants in answering questions.
Co-Authors Chahyadi, Ferdi Dufan, Ariel Dzahabi, Ziad Yasqi Hayaty, Nurul Helen Sastypratiwi, Helen Hendra Kurniawan Malik, Riani Fitri Ibnul Matulatan, Tekad Muhamad Radzi Rathomi Nikentari, Nerfita Nola Ritha Nurfalinda, Nurfalinda Pratama, Eko Imam Ritha, Nola Siti Zulaikha Syafina, Syafina Wibisono, Ganda Bagus