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

doi:10.14710/jtsiskom.7.2.2019.83-88

DOI: https://doi.org/10.14710/jtsiskom.7.2.2019.83-88

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

Computer Science Department, Engineering Faculty, Universitas Maritim Raja Ali Haji, Indonesia

Received: 23 Oct 2018; Revised: 11 Feb 2019; Accepted: 29 Apr 2019; Available online: 16 Jul 2019; Published: 30 Apr 2019.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

How to cite (IEEE): T. Matulatan, M. Bettiza, M. R. Rathomi, N. Ritha, and N. Hayaty, "Predictive Adaptive Test with Selective Weighted Bayesian Through Questions and Answers Patterns to Measure Student Competency Levels," Jurnal Teknologi dan Sistem Komputer, vol. 7, no. 2, pp. 83-88, Apr. 2019. https://doi.org/10.14710/jtsiskom.7.2.2019.83-88

How to cite (APA): Matulatan, T., Bettiza, M., Rathomi, M. R., Ritha, N., & Hayaty, N. (2019). Predictive Adaptive Test with Selective Weighted Bayesian Through Questions and Answers Patterns to Measure Student Competency Levels. Jurnal Teknologi dan Sistem Komputer, 7(2), 83-88. https://doi.org/10.14710/jtsiskom.7.2.2019.83-88

How to cite (BCREC): Matulatan, T., Bettiza, M., Rathomi, M. R., Ritha, N., Hayaty, N. (2019). Predictive Adaptive Test with Selective Weighted Bayesian Through Questions and Answers Patterns to Measure Student Competency Levels. Jurnal Teknologi dan Sistem Komputer, 7 (2), 83-88 (doi:10.14710/jtsiskom.7.2.2019.83-88)

How to cite (Chicago): Matulatan, Tekad, Martaleli Bettiza, Muhamad R. Rathomi, Nola Ritha, and Nurul Hayaty. "Predictive Adaptive Test with Selective Weighted Bayesian Through Questions and Answers Patterns to Measure Student Competency Levels." Jurnal Teknologi dan Sistem Komputer 7, no. 2 (2019): 83-88. Accessed May 31, 2025. https://doi.org/10.14710/jtsiskom.7.2.2019.83-88

How to cite (Vancouver): Matulatan T, Bettiza M, Rathomi MR, Ritha N, Hayaty N. Predictive Adaptive Test with Selective Weighted Bayesian Through Questions and Answers Patterns to Measure Student Competency Levels. Jurnal Teknologi dan Sistem Komputer [Online]. 2019 Apr;7(2):83-88. https://doi.org/10.14710/jtsiskom.7.2.2019.83-88.

How to cite (Harvard): Matulatan, T., Bettiza, M., Rathomi, M. R., Ritha, N., and Hayaty, N., 2019. Predictive Adaptive Test with Selective Weighted Bayesian Through Questions and Answers Patterns to Measure Student Competency Levels. Jurnal Teknologi dan Sistem Komputer, [Online] Volume 7(2), pp. 83-88. https://doi.org/10.14710/jtsiskom.7.2.2019.83-88 [Accessed 31 May. 2025].

How to cite (MLA8): Matulatan, Tekad, Martaleli Bettiza, Muhamad Radzi Rathomi, Nola Ritha, and Nurul Hayaty. "Predictive Adaptive Test with Selective Weighted Bayesian Through Questions and Answers Patterns to Measure Student Competency Levels." Jurnal Teknologi dan Sistem Komputer, vol. 7, no. 2, 30 Apr. 2019, pp. 83-88 , https://doi.org/10.14710/jtsiskom.7.2.2019.83-88. Accessed 31 May. 2025.

BibTex Citation Data :

@article{JTSISKOM13131,
    author = {Tekad Matulatan and Martaleli Bettiza and Muhamad Radzi Rathomi and Nola Ritha and Nurul Hayaty},
    title = {Predictive Adaptive Test with Selective Weighted Bayesian Through Questions and Answers Patterns to Measure Student Competency Levels},
    journal = {Jurnal Teknologi dan Sistem Komputer},
  volume = {7},
    number = {2},
    year = {2019},
    keywords = {computer adaptive test; Bayesian probabilistic; selective weighted IRT; pattern behavior},
    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.},
   issn = {2338-0403},   pages = {83--88}  doi = {10.14710/jtsiskom.7.2.2019.83-88},
    url = {https://jtsiskom.undip.ac.id/article/view/13131}
}

Refworks Citation Data :

@article{{JTSISKOM}{13131}, author = {Matulatan, T., Bettiza, M., Rathomi, M., Ritha, N., Hayaty, N.}, title = {Predictive Adaptive Test with Selective Weighted Bayesian Through Questions and Answers Patterns to Measure Student Competency Levels}, journal = {Jurnal Teknologi dan Sistem Komputer}, volume = {7}, number = {2}, year = {2019}, doi = {10.14710/jtsiskom.7.2.2019.83-88}, url = {https://jtsiskom.undip.ac.id/article/view/13131} }

Citation Format:

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.

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Keywords: computer adaptive test; Bayesian probabilistic; selective weighted IRT; pattern behavior

Funding: LP3M Universitas Maritim Raja Ali Haji

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Section: Original Research Articles

Language : EN

In Volume 7, Issue 2, Year 2019 (April 2019)

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Predictive Adaptive Test with Selective Weighted Bayesian Through Questions and Answers Patterns to Measure Student Competency Levels

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