Kurnianti, Aprilia
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Desktop Application Development to Practice Pronunciation Wulandari, Nurfitria; Purbohadi, Dwijoko; Kurnianti, Aprilia
Emerging Information Science and Technology Vol. 3 No. 2 (2022): November
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v3i2.16868

Abstract

English pronunciation studies the techniques of uttering English words, making it one of the most challenging subjects and considered a formality.  By mastering proper English pronunciation, there will be no miscommunication when speaking with others or native speakers. Learning pronunciation from a native speaker creates a benchmark for appropriately pronouncing words. Unfortunately, it is overpriced and impractical. Therefore, this study developed an e-learning application to learn English pronunciation. Through a desktop-based e-learning application, users could freely improve their ability and interest in learning pronunciation without time constraints. They could also evaluate their progress. This desktop application could be utilized frequently without incurring excessive fees. In order to acquire study data, the application was assessed by administering a questionnaire to 34 respondents. As many as 27 respondents believed that the application’s content was easily accessible on their individual computers. Additionally, 30 respondents acknowledged that the audio quality was clear. Moreover, 29 respondents asserted that the desktop application encouraged them to improve their pronunciation. In other words, the desktop application for learning English pronunciation was highly useful for independent study and could enhance the comprehension of each learned word
Web-Based Zakat Information and Calculation System at Badan Amil Zakat Nasional (BAZNAS) of the Kendari City Using the Laravel Framework Pratama, Hafizh; Kurnianti, Aprilia; Setiawan, Asep
Emerging Information Science and Technology Vol. 3 No. 1 (2022): May
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v3i1.16891

Abstract

Badan Amil Zakat Nasional (BAZNAS), or the National Amil Zakat Agency, is housed in Kendari City, particularly in the Anduonohu area. BAZNAS is a non-structural government institution independent and responsible to the Ministry of Religious Affairs. It faces several issues with data processing using Microsoft Excel, such as the difficulty of zakat data administration, the time and effort required to create reports, the slowness of search results, and the absence of a database. By developing a web-based zakat information and calculation system at BAZNAS of Kendari City with the Laravel framework, this study aims to discover solutions to issues experienced. The research framework for addressing the issues raised at BAZNAS of Kendari City included problem identification, theoretical foundation-based information searches, data collection through observation and interviews, and application development. Prototyping was utilized as a part of the system development, employing PHP, the Laravel framework and a MySQL database. Black-box testing was applied to ensure everything was working as intended. The test findings unveiled that the web-based zakat information and calculation system at BAZNAS of Kendari City functioned properly.
Optimal Size And Font For Mobile Learning Aura, Alnadya Yosabranka; Purbohadi, Dwijoko; Kurnianti, Aprilia
Emerging Information Science and Technology Vol. 3 No. 1 (2022): May
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v3i1.16895

Abstract

The study of fonts encompasses not only the expression of letter forms but also other aspects of readability and appearance. The necessity for additional font references for mobile learning heightens the importance of the font selection issue. Because many writers want their readers to feel comfortable and at ease when reading their work, study on this font is necessary because if the font size on a mobile phone is too large or too tiny, it becomes unpleasant. This research aims to examine the varieties of fonts that feels comfortable, appropriate, and clear for mobile learning material. This study employed a survey-based data-gathering method. Research on fonts such as Garamond, Gill Sans, Cambria, Kalibri, Constantia, Lato, and Georgia with sizes 10, 12, 14, 16, 18, 20, 22, 24, 26, and 28 and short to lengthy phrases revealed that Georgia was recommended for small and medium size fonts with sizes 10 to 22. For greater font sizes, however, Garamond was suggested with a size of 26.