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Critical Review of Recent Papers in Learning Media: Advantages, Challenges, and Future Prospects Gunarso, Gunarso; Wahyudin, Wahyudin; Ranggana, Alfaza; Permatasari, Endah; Aprianto, Vani; Septiani, Hesti
Journal of Education Research Vol. 5 No. 1 (2024)
Publisher : Perkumpulan Pengelola Jurnal PAUD Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37985/jer.v5i1.736

With the rapid development of technology at this time, the use of learning media is very necessary to support an interesting learning process and can motivate students to participate in learning. The aim of this research is to critically review the use of learning media, including the advantages of the media itself, the challenges faced and the prospects for using learning media in the future. The research method used is bibliometric analysis, utilizing machine learning to map data. This research consists of four stages of bibliometric analysis, namely: data collection using the Publish or Perish application, data processing, data mapping using machine learning, and mapping data analysis using the R programming language. Journal which is a reference published between two thousand nineteen and two thousand twenty three from the Google Scholar database. The search process uses the keyword learning media. The research results show that bibliometric analysis and mapping of 1000 publications using machine learning allows a deeper understanding of developments, trends and important aspects of research in the field of learning media. By using a bibliometric analysis approach and applying machine learning, this research contributes to the development of the use of technology in implementing learning media.

21st Century Learning Trends : What Educators Need to Know Ranggana, Alfaza; Wahyudin, Wahyudin; Gunarso, Gunarso; Permatasari, Endah
EDUKATIF : JURNAL ILMU PENDIDIKAN Vol 6, No 1 (2024)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/edukatif.v6i1.6142

In the 21st century, a paramount emphasis lies on the education of the 21st century and the cultivation of multifaceted skills that bolster students in acclimating to dynamic transformations. A pivotal trajectory in educational paradigms manifests through the amalgamation of technology and the adoption of digital pedagogical methodologies. The transition towards this technological integration is propelled by the imperative to assimilate 21st-century proficiencies, fortifying students for an ever-evolving technological milieu. Concurrently, there is an accentuation on honing students' faculties of critical reasoning and amplifying scientific acumen. Character education assumes a centrality, underscoring its resonance with the perspectives of students navigating the complexities of the 21st century. Moreover, 21st-century education encompasses the advocacy for innovative aptitudes and entrepreneurial prowess. Global educational trends steer towards STEM-oriented frameworks, augmenting students' adeptness in science, technology, engineering, and mathematics. In summation, education in the 21st century is intricately entwined with technology, globalization, and the imperative for students to foster competencies germane to an expeditiously evolving world.

How Microlearning Can Benefit Education: A Study of Factors and Trends in the Use of Microlearning Ranggana, Alfaza; Rasim, Rasim; Megasari, Rani
EDUKATIF : JURNAL ILMU PENDIDIKAN Vol 7, No 5 (2025): Oktober
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/edukatif.v7i5.8558

Microlearning has become one of the approaches that has become increasingly in demand in the last two decades along with the increasing need for flexible and digital technology-based learning. This research aims to define the concept of microlearning and identify research trends and factors that drive its implementation. The method used is a bibliometric analysis of microlearning-themed publications obtained from the ScienceDirect database from the initial appearance of the term until 2024. The analysis was carried out based on three main aspects, namely the frequency of publications, the number of citations, and the network of co-emergence and co-authorship. The results of the study show a significant increase in the number of microlearning-related publications over the past two decades. The publications with the highest citations were mostly from the pre-COVID-19 pandemic period, while 99% of documents did not show a strong pattern of authorship collaboration. In addition, microlearning is defined through three main factors, namely mobile device use, social connectedness, and time constraints. These findings confirm that research on microlearning remains relevant and has the potential to be an important foundation for the development of digital learning strategies in the future

Critical Review of Recent Papers in Learning Media: Advantages, Challenges, and Future Prospects Gunarso, Gunarso; Wahyudin, Wahyudin; Ranggana, Alfaza; Permatasari, Endah; Aprianto, Vani; Septiani, Hesti
Journal of Education Research Vol. 5 No. 1 (2024)
Publisher : Perkumpulan Pengelola Jurnal PAUD Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37985/jer.v5i1.736

With the rapid development of technology at this time, the use of learning media is very necessary to support an interesting learning process and can motivate students to participate in learning. The aim of this research is to critically review the use of learning media, including the advantages of the media itself, the challenges faced and the prospects for using learning media in the future. The research method used is bibliometric analysis, utilizing machine learning to map data. This research consists of four stages of bibliometric analysis, namely: data collection using the Publish or Perish application, data processing, data mapping using machine learning, and mapping data analysis using the R programming language. Journal which is a reference published between two thousand nineteen and two thousand twenty three from the Google Scholar database. The search process uses the keyword learning media. The research results show that bibliometric analysis and mapping of 1000 publications using machine learning allows a deeper understanding of developments, trends and important aspects of research in the field of learning media. By using a bibliometric analysis approach and applying machine learning, this research contributes to the development of the use of technology in implementing learning media.

Multilayer Perceptrons Dalam Memprediksi Kemenangan Pertandingan Sepak Bola UEFA EURO 2016 Ranggana, Alfaza; Raymond Chandra Putra; Wahyudin
Digital Transformation Technology Vol. 3 No. 2 (2023): Artikel Periode September 2023
Publisher : Information Technology and Science(ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/digitech.v3i2.3123

Sepak bola merupakan olahraga yang paling populer di dunia, tentunya, para penggemar menginginkan tim idola mereka untuk menang, namun seringkali prediksi mereka tidak didasari oleh data yang akurat. Maka dari itu, penelitian ini berguna dalam memprediksi kemenangan sepak bola terutama pada UEFA EURO 2016 dengan menggunakan data yang akurat, dan prediksi dilakukan menggunakan salah satu metode dalam Machine Learning, yaitu Jaringan saraf Tiruan. Pada Jaringan Saraf Tiruan, model yang digunakan adalah Multilayer Perceptrons (MLP) dengan pembelajaran menggunakan backpropagation, library Tensorflow.Keras digunakan dalam pembuatan model MLP. Data statistik tim pada pertandingan UEFA EURO 2016 dikumpulkan terlebih dahulu melalui situs resmi UEFA dan dilakukan eksplorasi terhadap data tersebut. Prediksi dapat dilakukan dengan Membuat model pertama kali dan dilakukan evaluasi menggunakan K-Fold Cross Validation dan menghasilkan akurasi sebesar 50-60%, setelah dilakukan optimasi terhadap learning rate, jumlah epoch, dan cara mengatasi overfitting, model baru berhasil dibuat. Model baru yang dibuat menghasilkan akurasi sebesar 90-95% setelah di evaluasi menggunakan K-Fold Cross Validation. Setelah mendapatkan model, prediksi dapat dilakukan menggunakan model tersebut dan setelah hasilnya keluar, akurasi prediksi didapat 75%. Model yang digunakan sehingga tercipta akurasi sebesar 75% itu dengan menggunakan model MLP 8-7-3, dimana terdapat delapan unit pada input layer, tujuh unit pada hidden layer, dan tiga unit pada output layer

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