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All Journal JUTI: Jurnal Ilmiah Teknologi Informasi Pendas : Jurnah Ilmiah Pendidikan Dasar Jurnal Abdimas Imigrasi (JaIM)
Priati Assiroj
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Humanities Computer Science & IT Dentistry Education Environmental Science Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences Other

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Journal : Pendas : Jurnah Ilmiah Pendidikan Dasar

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SYSTEMATIC LITERATURE REVIEW PEMANFAATAN TEKNOLOGI AUGMENTED REALITY SEBAGAI MEDIA PEMBELAJARAN Arwanto, Moch Miftah Mawardi; Priati Assiroj; Cakra Trinata
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 10 No. 02 (2025): Volume 10, Nomor 02 Juni 2025
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v10i02.26693

Abstract

Augmented Reality (AR) is a technological advancement that can be utilized as an interactive learning medium by visualizing objects in three dimensions to enhance material comprehension. This study aims to identify methods, AR design software, and various applications of AR as different media. Using the PRISMA method, 28 selected articles were analyzed. The findings indicate that Marker-based Tracking is the dominant method compared to Markerless Tracking. The most commonly used AR design software is Unity, often combined with Vuforia. In terms of AR applications, the highest usage is found in the field of science, followed by several other fields. This study demonstrates that AR has great potential if continuously developed and can be utilized across various fields, not just in education.
ALGORITMA K-MEANS DALAM IMPLEMENTASI BIDANG PEKERJAAN Akmal Khansa Al Irsyad; Priati Assiroj; Besse Hartati
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 10 No. 02 (2025): Volume 10, Nomor 02 Juni 2025 publish
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v10i02.26772

Abstract

Rapid technological advances have affected various fields, especially in data management. The increasing volume of data generated from various sources demands efficient management and analysis methods. Data mining techniques offer a structured approach in processing, classifying, and grouping data to support decision making in various fields. This study is a systematic review of the application of data mining techniques, with a primary focus on the K-Means Clustering algorithm. This study analyzes the trend of data mining applications, especially in data classification and grouping to improve the effectiveness of decision making. Based on a systematic literature review, it was found that the K-Means Clustering algorithm is widely applied in sales analysis, market segmentation, stock optimization, and predictions in the social and health fields. In addition, other algorithms such as Decision Tree, Naïve Bayes, and K-Nearest Neighbor are also commonly used in predictive analysis and data classification. This study provides insight into the effectiveness of various data mining techniques and their future development opportunities.
Co-Authors Akmal Khansa Al Irsyad Andyko Mahendra Putra Arwanto, Moch Miftah Mawardi Bella Mega Rahmaningtias Besse Hartati Cakra Trinata Ifatul Afifah Ni Putu Ayu Yuniartika Dewi Sianipar, Passion Timothy Gerald Wilonotomo