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All Journal Jurnal Sarjana Teknik Informatika Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) JUITA : Jurnal Informatika Annual Research Seminar Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control
Guntur Maulana Zamroni
Universitas Ahmad Dahlan
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Journal : JUITA : Jurnal Informatika

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Development of Android Based Online Nurse Test Preparation Ambar Relawati; Guntur Maulana Zamroni
JUITA : Jurnal Informatika JUITA Vol. 8 Nomor 1, Mei 2020
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1861.373 KB) | DOI: 10.30595/juita.v8i1.6795

Abstract

The Indonesian Nurses Competency Test (UKNI) is a process to determine whether a person is worthy to become a nurse in Indonesia. In 2018 the UKNI test was carried out by 55,573 total participants with a pass percentage of 47.15%. This figure is quite low considering the need for nurses in Indonesia which is still quite high. The unpreparedness of participants in facing tests, either readiness in terms of test material or in terms of mentality is one of the causes of the low pass rate of UKNI. Online Nurse Test (ONT) UKNI is expected to be one of the solutions to answer the above problems. ONT UKNI is a mobile application that has been equipped with learning material, try out, and discussion features aimed to help School of Nursing students in facing UKNI test. The development of the ONT UKNI application uses the modified waterfall model and uses the observation approach and literature review in collecting data and materials which will then be used for the development of the ONT UKNI application. ONT UKNI offers new sets of try out questions and discussion feature that may useful for users. Functional tests has been conducted with 100% results so it can be concluded that the ONT UKNI application is suitable for use.Keywords: Android, Mobile Learning Application, UKNI
Electroencephalogram as a Validation Method in Usability Testing Guntur Maulana Zamroni; Dinan Yulianto; Bella Saphira; Fadel N. Akhmad; Fakhira A. Zahrah
JUITA : Jurnal Informatika JUITA Vol. 11 No. 1, May 2023
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v11i1.16000

Abstract

Usability testing is a recommended main testing method to evaluate the usability or ease of use of a software. However, this approach can induce bias. Usability testing with survey method using questionnaire instruments and interview has a risk of generating lack of objectivity from the participants because the facilitator can influence the evaluation results. The evaluation process is not optimal and the biases that arise from usability testing can affect the success or failure of a software in the market. A method for validating usability testing results needs to be studied to ensure whether the test results obtained are valid and unbiased. Electroencephalogram (EEG) is one of the tool that can be used to validate usability testing. This study aims to conduct usability testing of the three most popular e-marketplace applications in Indonesia. From the results it can be seen that usability testing using user-based testing gives a fairly good result in term of accuracy. Usability testing using EEG gives lower results than user-based testing. Nevertheless, we cannot rule out EEG as a usability testing method in the future.
Co-Authors Aditya Cahyo Pramono Ambar Relawati Bella Saphira Dinan Yulianto Fadel N. Akhmad Fakhira A. Zahrah Fitri Indra Indikawati Imam Riadi Yogi Anggara