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Journal of Paddisengeng Technology
Published by PT. Sinergi Bersahaja Sejahtera
ISSN : -     EISSN : 30893046     DOI : https://doi.org/10.65224/jopate
Core Subject :
Journal of Paddisengeng Technology (JOPATE) is a peer-reviewed scientific journal that publishes original research articles and scholarly reviews concerning developments in science, technology, and education. The journal covers educational sciences, educational administration, educational technology, and interdisciplinary applications of technology in teaching, learning, and institutional development. Every manuscript undergoes an initial editorial assessment followed by a peer-review process involving reviewers with expertise relevant to the manuscripts subject.
Arjuna Subject : -
Articles 3 Documents
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Search results for , issue "vol. 1 no. 4 (2025)" : 3 Documents clear
The Effectiveness of the Use of Aldiko Book Reader in Indonesian Language Learning for Natural Sciences Usman M; Sam Hermansyah
Journal of Paddisengeng Technology Vol. 1 No. 4 (2025)
Publisher : PT. Sinergi Bersahaja Sejahtera

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65224/jopate.v1i4.79

Abstract

Background. The use of technology in education is one way to improve the quality of learning. One of the applications used for learning is Aldiko Book Reader, which is expected to help students understand the learning material. This study was conducted to measure the effectiveness of the use of Aldiko Book Reader in Indonesian language learning at SMA Negeri 1 Sidrap, especially for students in grade XI Natural Sciences (IPA) 1. Purpose. This study aims to explain the effectiveness of the use of Aldiko Book Reader in Indonesian learning for students in grade XI Science 1 SMA Negeri 1 Sidrap. Method. This study is a quantitative research with a population of 35 students in class XI Science 1 SMA Negeri 1 Sidrap and a sample of 25 students. The data collection techniques used are documentation, tests, and questionnaires. The collected data was then processed using an effectiveness test measured based on four indicators. Results. The results of the study show that the use of Aldiko Book Reader is effective in learning Indonesian. Of the four indicators of effectiveness, all of them qualified. First, the average score of students after using Aldiko Book Reader increased (68.5 < 82.5). Second, the average score of students after using the application is 82.5, which is above the KKM standard (70). Third, the average score of student gain is 54.8, which is in the high category. Fourth, the completeness of classical learning reaches 100%. Conclusion. Based on the results of the study, it can be concluded that the use of Aldiko Book Reader is effective in improving the Indonesian learning outcomes of students in grade XI Science 1 SMA Negeri 1 Sidrap, as evidenced by the significant increase in student scores and test scores.
Artificial Intelligence in Education: Opportunities, Risks, and Pedagogical Implications for Higher Education Agung Yuliyanto Nugroho; Marnangkok Pakpahan; Yessy Ade Winarti; Nurul Hikmah
Journal of Paddisengeng Technology Vol. 1 No. 4 (2025)
Publisher : PT. Sinergi Bersahaja Sejahtera

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65224/jopate.v1i4.228

Abstract

Background: The rapid integration of Artificial Intelligence (AI) in various sectors, including education, is transforming the way teaching and learning processes are conducted. AI has the potential to revolutionize higher education by enhancing learning experiences, improving teaching efficiency, and providing personalized learning opportunities. However, the use of AI in education also brings with it potential risks, such as data privacy concerns, reliance on automated systems, and the impact on traditional pedagogical methods. Purpose: This study explores the opportunities, risks, and pedagogical implications of integrating Artificial Intelligence in higher education. Specifically, it examines how AI tools can be utilized to enhance teaching, the challenges they present, and the ways in which educators and institutions can adapt to these technological changes to maximize their benefits. Method: A qualitative approach was used to analyze relevant literature, case studies, and expert opinions on the use of AI in education. Interviews with higher education faculty and technology experts were conducted to gain insights into the practical applications and challenges of AI integration. Results: The findings highlight that AI offers significant opportunities for personalized learning, data-driven decision-making, and administrative efficiency. However, it also poses risks related to data privacy, ethical concerns, and the potential for exacerbating educational inequalities. The pedagogical implications suggest a need for educators to develop new competencies and adapt teaching strategies to effectively integrate AI into the curriculum. Conclusion: The integration of AI in higher education presents both significant opportunities and challenges. To fully harness the potential of AI while mitigating its risks, higher education institutions must prioritize ethical considerations, data privacy, and the development of pedagogical strategies that complement AI technologies.
Learning Analytics and Student Engagement: Implications for Technology-Based Instruction Salis Irvan Fuadi; Robingun Suyud El Syam; Dorji Wangchuk
Journal of Paddisengeng Technology Vol. 1 No. 4 (2025)
Publisher : PT. Sinergi Bersahaja Sejahtera

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65224/jopate.v1i4.229

Abstract

Background. Student engagement is a crucial factor that influences academic performance and learning outcomes in technology-based instruction. The increasing integration of learning analytics in educational environments provides valuable insights into how students engage with online learning platforms and tools. However, understanding the relationship between learning analytics and student engagement, and its implications for teaching practices, remains underexplored. Purpose. This study aims to explore the role of learning analytics in enhancing student engagement in technology-based instruction. Specifically, it investigates how data-driven insights can be used to monitor and improve student participation, motivation, and interaction within digital learning environments. Method. A mixed-methods approach was employed, involving a combination of quantitative data from learning analytics platforms and qualitative data from student surveys and interviews. The study was conducted across three universities that integrate technology-based instruction in various disciplines, involving 500 students in total. Statistical analysis was used to identify patterns in student engagement, while thematic analysis was applied to qualitative data to uncover students’ perceptions of technology-enhanced learning. Results. The study found that learning analytics significantly contributes to identifying disengaged students and offering tailored interventions. Moreover, students who received real-time feedback based on analytics showed improved engagement levels, particularly in interactive online modules. The findings also revealed that students valued personalized learning experiences facilitated by data insights but expressed concerns over privacy issues related to data collection. Conclusion. This research highlights the potential of learning analytics to improve student engagement in technology-based instruction. By leveraging data-driven insights, educators can personalize learning experiences and enhance student participation. However, ethical considerations regarding data privacy and the balance between automation and human interaction need to be addressed to ensure a positive impact on learning outcomes.

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