Computer Science Department, Engineering Faculty, Universitas Maritim Raja Ali Haji, Indonesia
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 Metrics:
Last update:
Last update: 2024-12-24 11:02:42
Starting from 2021, the author(s) whose article is published in the JTSiskom journal attain the copyright for their article and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. By submitting the manuscript to JTSiskom, the author(s) agree with this policy. No special document approval is required.
The author(s) guarantee that:
The author(s) retain all rights to the published work, such as (but not limited to) the following rights:
Suppose the article was prepared jointly by more than one author. Each author submitting the manuscript warrants that all co-authors have given their permission to agree to copyright and license notices (agreements) on their behalf and notify co-authors of the terms of this policy. JTSiskom will not be held responsible for anything arising because of the writer's internal dispute. JTSiskom will only communicate with correspondence authors.
Authors should also understand that their articles (and any additional files, including data sets and analysis/computation data) will become publicly available once published. The license of published articles (and additional data) will be governed by a Creative Commons Attribution-ShareAlike 4.0 International License. JTSiskom allows users to copy, distribute, display and perform work under license. Users need to attribute the author(s) and JTSiskom to distribute works in journals and other publication media. Unless otherwise stated, the author(s) is a public entity as soon as the article is published.
