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All Journal JIPTEK : Jurnal Ilmiah Pendidikan Teknik dan Kejuruan Journal of Information Systems and Informatics Journal of Informatics and Vocational Education Journal of Pedagogy and Education Science
Nurcahya Pradana Taufik Prakisya
Sebelas Maret University
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Social Sciences Other

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Microlearning on TikTok: Developing Creativity and Communication for Vocational Students Atadila Berliani Daniswara; Aris Budianto; Nurcahya Pradana Taufik Prakisya
Journal of Pedagogy and Education Science Vol 5 No 01 (2026): Journal of Pedagogy and Education Science
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/IISTR.jpes.001127

Abstract

Non-technical skills (soft skills), such as creativity and oral communication, have become increasingly important for Vocational High School graduates in the Industry 4.0 era; however, their systematic integration into the curriculum remains limited. This study aimed to develop and examine the feasibility and preliminary effectiveness of a TikTok-based microlearning platform to support the development of vocational students’ soft skills. The study employed a research and development approach using the ADDIE model and involved 32 vocational students in Boyolali, Central Java, Indonesia. Data were collected through expert validation, student response questionnaires, and a pretest–posttest design. Expert validation indicated that the developed media met high feasibility criteria, with an average score of 88% from media and material experts. Student responses suggested a positive level of acceptance, with an average score of 83.6%. The pretest–posttest results showed modest increases in average scores for creativity (2.44 points) and oral communication (8.12 points). These findings suggest that TikTok-based microlearning has potential as a supportive and engaging tool for facilitating the development of vocational students’ soft skills, although further studies with larger samples and comparative designs are recommended to confirm its effectiveness.
Pemanfaatan Metode Simple Additive Weighting dalam Sistem Pendukung Keputusan untuk Menentukan Siswa Berprestasi Khiara Nurulita; Nurcahya Pradana Taufik Prakisya; Dwi Maryono
JIPTEK: Jurnal Ilmiah Pendidikan Teknik dan Kejuruan Vol 17, No 2 (2024): July
Publisher : Faculty of Teacher Training and Education Universitas Sebelas Maret Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jiptek.v17i2.76248

Abstract

⚠️Notice: This article has been identified as a duplicate publication of the following article published in another journal:Utilization Method Simple Additive Weighting in Decision Support Systems to Determine Outstanding Students Media Informasi Teknologi (MIT) (https://epublikasi.digitallinnovation.com/index.php/mit/article/view/189)Based on internal verification, the authors did not request withdrawal and did not notify the JIPTEK Editorial Office that the manuscript had been submitted to another journal. This constitutes a violation of publication ethics, particularly regarding simultaneous submission and redundant publication, as outlined by the Committee on Publication Ethics (COPE) and JIPTEK’s editorial policy.Accordingly, the Editorial Board declares this article as a duplicate publication. The article will remain available on the JIPTEK website to maintain the transparency and integrity of the scholarly record, accompanied by this official notice.The Editorial Board of JIPTEK reaffirms its commitment to upholding academic integrity and strongly urges all authors to adhere to ethical publication standards at all stages of the submission and publication process.
Digitizing the School Administration Management System at SMAN 12 Bandung and its Evaluation with the System Usability Scale M Luthfi Zulfikar; Rosihan Ari Yuana; Nurcahya Pradana Taufik Prakisya
Journal of Informatics and Vocational Education Vol 5, No 1 (2022): Journal of Informatics and Vocational Education - March
Publisher : Pendidikan Teknik Informatika dan Komputer, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/joive.v5i1.61446

Abstract

Education administration is one of the vital information in learning activities. Education administration can increase the productivity of teachers and will make learning activities more focused and structured. Digitalization of education administration will help teachers manage education administration, especially planning for learning. Moreover, this application will help teachers assign students scores based on their attitudes. This system will use Laravel as a base along with a spiral model for the SDLC, and use the System of Usability Scale For Evaluation (SUS). This application is Considered easy to use because it gets the 'acceptance' grade based on acceptance, a "C" grade on the class scale, a "good" grade on the adjective rating, and a "B" grade on the percent rank. This application only needs slight requirements for adjustments, socialization, and training for teachers to be accustomed to the system.
Deep Learning-Based Object Detection for Fashion, Uniform, and PPE Items: A Systematic Literature Review Isa Aulia Almadani; Nurcahya Pradana Taufik Prakisya; Cucuk Wawan Budiyanto
Journal of Information System and Informatics Vol 8 No 5 (2026): October
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i5.1818

Abstract

Deep learning-based object detection for clothing and uniform items spans two research streams: fashion and apparel detection for e-commerce, and personal protective equipment (PPE) compliance detection for occupational safety. No prior review has jointly synthesized these streams with a detection-centric scope. This study addresses that gap through a PRISMA 2020-guided systematic literature review of 1,378 records from Scopus as the sole database, identified via two Boolean queries and screened for object detection or instance segmentation of clothing, uniform, or PPE items, yielding 26 empirical studies published between 2021 and 2026. One-stage YOLO-based detectors dominate the corpus (18 of 26 studies, up to 96.9% mAP50 at 7.3 ms inference), a dominance partly attributable to an architectural constraint in the PPE-domain search query; two-stage R-CNN and transformer-based architectures remain comparatively underexplored, the latter represented by only two studies. Dataset scale is markedly asymmetric between public fashion benchmarks (up to 491,895 images) and PPE-specific collections (as few as 1,330 images), though an emerging benchmark-reuse pattern partly offsets this gap within the PPE domain. This review contributes a cross-domain synthesis benchmarked against five prior reviews, an explicit architecture-dataset-metric mapping, a proposed nine-element minimum reporting standard, and a challenge taxonomy that surfaces previously undiscussed ethical and cultural-representation gaps in this literature
Co-Authors Aris Budianto Atadila Berliani Daniswara Cucuk Wawan Budiyanto Dwi Maryono Isa Aulia Almadani Khiara Nurulita M Luthfi Zulfikar Rosihan Ari Yuana