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All Journal IZDIHAR Applied Quantitative Analysis (AQA)
Rachmawati, Ummi Azizah
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Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Mathematics Social Sciences

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Would It Be The Same? Measuring Mental Health Status in Conventional Vs. Digital Way Ranakusuma, Octaviani Indrasari; Rachmawati, Ummi Azizah; Diana, Nova Eka; Darmawanto, Farhan A.; Tirtan, Eresha; Sucipto, Fido O.; Hasibullah, Rifki A.; Mafazi, Dio
Applied Quantitative Analysis Vol. 2 No. 1 (2022): August 2022
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/quant.943

Abstract

Adolescents are facing challenges which puts them in risks of having emotional problems. Early detection of those who are at risk developing mental health problem is required to prevent them from worsening and thus need advanced and costly clinical treatments. However, students have limited access to mental health services due to lack of knowledge of mental health. Social stigmatization has also been a barrier to access the services. Numbers of mental health digital application has been developed. There are controversies whether digital application measures one’s mental health status.  The study compared scores of depression, anxiety, and stress subscales of DASS-42 (Depression, Anxiety, and Stress Scale 42 items) obtained by paper-and-pencil (conventional) questionnaire and by GALAW V.2 android-based application. It is hypothesized that insignificant scores differences between the modes of measurement demonstrated that the digital application could replace the conventional questionnaire. Thirty high school students (N=30) participated in the study. The conventional measurement (paper-and-pencil questionnaire) was conducted first. After 60 minutes break, the students completed the measurement provided digitally in the application. It showed that the mean of anxiety subscale did not significantly differ (t=1.22; p=.23) whether using digital or conventional mode. On the other hand, the paired t-test demonstrated significant mean differences in the depression (t=3.63, p=.00) and stress (t=2.32, p=.03) subscales of DASS-42. Finally, the result of the study cannot be generalized due to the small number of participants. It is advised to have more participants to represent the population. Other measurements such as the Beck Depression Inventory (BDI) and The State-Trait Anxiety Inventory (STAI) were highly recommended for validity purpose
Takallam: An Android Application to Enhance Literacy of Arabic Expression Rachmawati, Ummi Azizah; Yahya, Aya; Pratiwi, Puspa Setia; Utami, Sri Puji; Hasan, Febri Ufaira; Rama Abirami K.
Izdihar : Journal of Arabic Language Teaching, Linguistics, and Literature Vol. 7 No. 3 (2024): Izdihar: Journal of Arabic Language Teaching, Linguistics, and Literature
Publisher : Arabic Education Department, Islamic Studies Faculty, Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/jiz.v7i3.34762

Abstract

The Arabic language holds great significance in Islamic culture. Arabic is traditionally learned through in-person instruction in classrooms or scientific gatherings, while another method involves memorizing words from books or dictionaries. However, this memorization technique is often less effective due to the repetitive reading required. An alternative approach to learning Arabic is through information system media. In this research, the researchers developed a multimedia application to facilitate learning basic Arabic conversations. The research follows the Prototyping methodology, which involves building and refining a system model. This process includes seven steps: collecting requirements, developing prototypes, evaluating prototypes, coding, testing, system evaluation, and implementation. The Android-based mobile application, developed using Android Studio, incorporates multimedia features. The outcome of this research is the development of the Takallam app, designed to help users learn basic Arabic conversation. Takallam includes interactive dialogues, practical phrases, and engaging quizzes, with cartoon animations to enhance the learning experience and make practice more enjoyable. The System Usability Scale test yielded an average score of 74, and Beta Testing showed an 80% feasibility rate, confirming that the application meets the required criteria.
Co-Authors Darmawanto, Farhan A. Hasan, Febri Ufaira Hasibullah, Rifki A. Mafazi, Dio Nova Eka Diana, Nova Eka Octaviani Indrasari Ranakusuma Pratiwi, Puspa Setia Rama Abirami K. Sri Puji Utami, Sri Puji Sucipto, Fido O. Tirtan, Eresha Yahya, Aya