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PERANCANGAN APLIKASI KLINIK UNIRA BERBASIS WEB UNTUK OPTIMALISASI PELAYANAN Syahroni, Abd. Wahab; Rofiq Hafsi, Ainur; Ramadhani, Nilam; Said, Badar
Antivirus : Jurnal Ilmiah Teknik Informatika Vol 16 No 2 (2022): November 2022
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/antivirus.v16i2.2425

Abstract

UNIRA Clinic still uses manual books in collecting data on its service activities. The services provided by the UNIRA Clinic include blood checks, blood pressure checks, and drug administration based on the patient's diagnosis. This study aims to design and build an application for the UNIRA Clinic that can assist in recording patient check up history and facilitate it in recapitulation so that it can be an answer to the shortcomings of recording patient check up manually using books. The application was built using the prototype method, database design using CDM and PDM, database implementation on MySQL, implementation of programming languages ​​with Javascript and PHP. Measurement of application use satisfaction using a Likert scale. Of the 10 respondents who have answered the questionnaire, it can be concluded that the respondents strongly agree that this application has been built in accordance with the existing system flow at the UNIRA Clinic with a Likert scale result of 98%.
Application of Jigsaw Learning Model to Increase Student Involvement in Civic Education Rofiq Hafsi, Ainur
Journal of Islamic Elementary Education Vol. 1 No. 2 (2023): Journal of Islamic Elementary Education
Publisher : LP2M IAI Al-Khairat Pamekasan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32806/islamentary.v1i2.565

Abstract

This study aims to evaluate the application of the Jigsaw learning model in enhancing student engagement in the Civics Education course. Using a quantitative approach with a quasi-experimental design, this study involved students enrolled in the course and measured their engagement before and after the implementation of the Jigsaw model through questionnaires, observations, and in-depth interviews. The results showed a significant increase in student engagement after the implementation of the Jigsaw model, reflected in active participation, learning motivation, and collaboration among students. This model proved effective in creating a more interactive and collaborative learning environment. However, some challenges such as students' readiness to collaborate were also identified. This study suggests that the Jigsaw model be applied more widely in other courses that require more active student engagement.
Integration of Artificial Intelligence in Learning at Madrasah Ibtidaiyah to Improve Students' Competence and Digital Literacy Rofiq Hafsi, Ainur
Journal of Islamic Elementary Education Vol. 4 No. 1 (2026): Journal of Islamic Elementary Education
Publisher : LP2M IAI Al-Khairat Pamekasan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32806/islamentary.v4i1.1664

Abstract

The integration of Artificial Intelligence in education has become a strategic innovation in responding to the demands of the digital era, particularly in enhancing students’ competencies and digital literacy. This study aims to analyze the implementation of Artificial Intelligence in learning at Madrasah Ibtidaiyah and its impact on improving students’ competencies and digital literacy.This research employs a qualitative approach with a descriptive design. Data were collected through in-depth interviews, observations, and documentation, and analyzed using an interactive model consisting of data reduction, data display, and conclusion drawing.The findings reveal that the integration of Artificial Intelligence significantly improves students’ digital competencies, including their ability to use technology, access and evaluate information, and develop critical thinking skills. Furthermore, AI-based learning creates a more interactive, adaptive, and personalized learning environment, which enhances students’ motivation and engagement. However, the implementation still faces several challenges, such as limited technological infrastructure, varying levels of teachers’ digital competence, and the need for strengthening digital ethics literacy. The study concludes that the integration of Artificial Intelligence has strong potential to improve the quality of learning and prepare students with essential digital competencies. Therefore, continuous teacher training, institutional support, and effective policy frameworks are necessary to optimize the implementation of AI in education.