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The Role of Technology in Transforming Classroom Instruction: An Analysis of Blended Learning Approaches Hanafi, Imam; Alijoyo, Franciskus Antonius; Amin, Husna; Sudarsono, Bernadus Gunawan; Damayanto, Antonio
QALAMUNA: Jurnal Pendidikan, Sosial, dan Agama Vol. 16 No. 2 (2024): Qalamuna - Jurnal Pendidikan, Sosial, dan Agama
Publisher : Lembaga Penerbitan dan Publikasi Ilmiah Program Pascasarjana IAI Sunan Giri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/qalamuna.v16i2.5227

Abstract

This research explores how technology has changed teaching methods in the classroom through a blended learning approach. The research method used in this study is literature studies, which look for references appropriate to the research context. The study's findings suggest that technology can increase student engagement, facilitate access to a wider range of learning activities, and improve learning outcomes through more interactive and flexible methods. When strategically integrated into the learning process, technology improves teaching efficiency and prepares students with the skills needed for the digital age. The implications of these findings are important for education stakeholders in designing and implementing teaching practices that harness the potential of technology to improve the learning process in the classroom. Further research is suggested to conduct empirical studies involving experiments in real classrooms to measure the direct impact of technology and blended learning approaches on student engagement and learning outcomes.
Analisis Perbandingan Metode Teorema Bayes, Case-Based Reasoning, dan Dempster-Shafer untuk Mendiagnosis Penyakit Lambung Sudarsono, Bernadus Gunawan; Lestari, Dwi
Building of Informatics, Technology and Science (BITS) Vol 7 No 3 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i3.8524

Abstract

Gastric diseases, such as gastritis, GERD, and peptic ulcers, are significant health problems with high prevalence in the community. The process of diagnosing these diseases is often hampered by symptoms that overlap with other health disorders, limited experience of medical personnel, and incomplete patient symptom data. This condition can lead to misdiagnosis and ineffective treatment. Therefore, a system is needed that can support the diagnosis process more accurately and efficiently. This study compares three intelligent system-based diagnostic methods, namely Bayes' Theorem, Case-Based Reasoning (CBR), and Dempster-Shafer Theory. Bayes' Theorem analyzes the probability of the relationship between symptoms and diseases, CBR compares new cases with previous cases, while Dempster-Shafer Theory handles data uncertainty to produce a level of diagnostic confidence. The analysis was carried out using gastric disease symptom data that has been collected from the literature and medical surveys. This study contributes by presenting a comparative analysis of the advantages and disadvantages of each method in diagnosing gastric disease. The aim is to determine the most effective method in improving diagnostic accuracy and the efficiency of the medical decision-making process. The preliminary results show a comparison between Bayes' Theorem, Case-Based Reasoning, and Dempster Shafer showing that Gastroesophageal Reflux Disease has the highest confidence level, followed by Gastritis, while Gastric Ulcer has the lowest confidence level in all methods.
Memperkenalkan CyberSecurity Kepada Karang Taruna di Kelurahan Tangki Jakarta Barat Sudarsono, Bernadus Gunawan; Bani, Alexius Ulan; Sharyanto, Sharyanto; Whendasromo, Raditya Galih
TRIDHARMADIMAS: Jurnal Pengabdian Kepada Masyarakat Jayakarta Vol 5 No 2 (2025): TRIDHARMADIMAS (Desember 2025)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/tridharmadimas.v5i2.2206

Abstract

Perkembangan teknologi informasi yang masif telah membawa transformasi digital yang signifikan di tengah masyarakat, mengubah pola interaksi sosial dan transaksi ekonomi. Namun, kemajuan ini berbanding lurus dengan peningkatan ancaman kejahatan siber (cyber crime). Generasi muda, khususnya anggota Karang Taruna di Kelurahan Tangki, Jakarta Barat, merupakan kelompok "digital natives" yang sangat aktif menggunakan internet, namun sering kali memiliki kesadaran keamanan (security awareness) yang rendah. Kurangnya pemahaman mengenai perlindungan data pribadi menjadikan mereka target yang rentan terhadap serangan siber seperti Phishing, Social Engineering, dan peretasan akun. Kegiatan Pengabdian kepada Masyarakat (PkM) ini bertujuan untuk meningkatkan literasi digital dan memberikan keterampilan teknis praktis mengenai Cybersecurity. Metode pelaksanaan kegiatan menggunakan pendekatan mixed-method yang sistematis, meliputi tahapan observasi awal, penyusunan materi berbasis masalah, pelaksanaan pelatihan partisipatif, dan evaluasi efektivitas. Materi difokuskan pada pengenalan konsep CIA Triad (Confidentiality, Integrity, Availability), identifikasi ancaman siber, dan praktik pengamanan Akun Google melalui fitur 2-Step Verification dan Security Checkup. Hasil kegiatan menunjukkan adanya peningkatan pemahaman peserta secara signifikan mengenai urgensi keamanan data. Peserta mampu mengidentifikasi tautan berbahaya dan secara mandiri mengimplementasikan pengaturan keamanan pada perangkat gawai mereka. Diharapkan kegiatan ini dapat membentuk ekosistem digital yang aman dan produktif di lingkungan pemuda Kelurahan Tangki, serta mendorong mereka menjadi agen perubahan literasi digital bagi komunitas sekitarnya.