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Analisis Kinematik dan Statika dari Gerak Jari Prostetik dengan Mekanisme Rack and Pinion Arthaya, Bagus; Faisal Wahab; Christian F. Naa; Ari Setiawan; G.R. Prasetyo; J.E. Mulyadi
Seminar Nasional Teknik Elektro Vol. 4 No. 1 (2025): SNTE III
Publisher : Forum Pendidikan Tinggi Teknik Elektro Indonesia Pusat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46962/snte.25.085

Abstract

Anak-anak yang lahir sebagai anak penyandang disabilitas, terutama lahir tanpa tangan, akan merasakan banyak sekali kesulitan untuk melakukan kegiatan sehari-hari di tahap awal masa belajar dalam kehidupan mereka. Oleh karena itu, alat bantu tangan prostetik yang dibahas dalam artikel akan dapat membantu mereka bekerja seperti layaknya orang biasa. Tangan prostetik dibuat dengan bentuk yang lebih sederhana dari tangan manusia umumnya. Pergerakan rotasi antar engsel ruas jari dibangkitkan dengan mekanisme rack and pinion dengan tujuan untuk mendapatkan kekakuan rakitan yang baik. Konfigurasi jari-jari tangan diatur sedemikian rupa agar ruang genggam/jepit yang terbentuk memiliki volume sebesar mungkin. Perhitungan matematis dilakukan untuk mengetahui semua gaya yang bekerja pada setiap sambungan ruas jadi, gaya di dalam seluruh batang serta kapasitas motor penggerak yang digunakan pada mekanisme di atas. Sejumlah perhitungan beban disajikan dalam artikel ini dan sekaligus analisis beban aktual beserta defleksi maksimum yang terjadi pada setiap ruas tangan prostetik. Hasil pengujian/perhitungan menunjukkan bahwa rancangan tangan jari-jari dari tangan prostetik ini memiliki kekuatan yang baik dan tidak menunjukkan defleksi batang yang dapat merugikan kekakuan rancangan.
Student Resilience in Higher Education: A Research Trend Analysis: Penelitian Nor Syamimi Mohamed Adnan; Hazman Hassan; Mohd Azri Mohd Nasaruddin; Mohd Kasturi Nor Abd Aziz; Ari Setiawan
Jurnal Pustaka Cendekia Pendidikan Vol. 3 No. 2 (2025): Jurnal Pustaka Cendekia Pendidikan, Volume 3 Nomor 2, September-Desember 2025
Publisher : PT PUSTAKA CENDEKIA GROUP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70292/jpcp.v3i2.213

Abstract

Student resilience has emerged as a critical construct in higher education, particularly in response to increasing academic pressure, mental health challenges, and global disruptions affecting university students. Despite the growing volume of research, a comprehensive overview of the intellectual structure, thematic evolution, and global research patterns in this field remains limited. Therefore, this study aims to systematically examine research trends on student resilience in higher education through a bibliometric analysis. Data were collected using Scopus Advanced Search by applying relevant keywords, including student resilience, academic resilience, higher education, and university students. Following a rigorous screening process, a final dataset of 834 journal articles published between 2015 and 2025 was obtained. Scopus Analyzer was employed to examine publication trends, document distribution, and country contributions, while OpenRefine was used to clean and harmonize bibliographic data to ensure accuracy and consistency. Subsequently, VOSviewer software was utilized to visualize co-authorship networks, keyword co-occurrence patterns, and thematic clusters within the literature. The findings reveal a significant and accelerating growth in publications over the past decade, with a sharp increase observed after 2020, reflecting heightened scholarly attention to student mental health and adaptability, particularly during the COVID-19 pandemic. The United States, the United Kingdom, and Australia emerged as the leading contributors, while keyword co-occurrence analysis identified mental health, stress, academic success, and student well-being as dominant and interconnected research themes. The results also highlight the interdisciplinary nature of student resilience research, spanning educational psychology, health sciences, and pedagogical studies. Overall, this bibliometric analysis provides a comprehensive overview of the knowledge structure and global research landscape of student resilience in higher education, offering valuable insights for researchers, educators, and policymakers, and identifying future directions for advancing resilience-focused research and practice in higher education settings.
Development of PETA SITAYA Media Based on Deep Learning Integrated with Tri-Nga in IPAS Learning to Improve Elementary Students’ Critical Reasoning Tri Wulandari; Banun Havifah Cahyo Khosiyono; Ari Setiawan; Ana Fitrotun Nisa
Attractive : Innovative Education Journal Vol. 8 No. 1 (2026): Attractive : Innovative Education Journal
Publisher : CV. Creative Tugu Pena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51278/aj.v8i1.2067

Abstract

This study addresses the need for innovative learning media to enhance elementary school students’ critical reasoning skills in IPAS (Ilmu Pengetahuan Alam dan Sosial) learning. The objectives of this research were: (1) to develop a Deep Learning–based educational game media called PETA SITAYA integrated with the Tri-Nga concept; (2) to determine the feasibility of the developed instruments and product; and (3) to examine the effect of the media on improving students’ critical reasoning skills. This study employed a Research and Development (R&D) method using the ADDIE model, consisting of analysis, design, development, implementation, and evaluation stages. The subjects included a limited trial involving 24 students and a wider trial consisting of 29 students in the control class and 29 students in the experimental class. Data were collected through needs analysis questionnaires, expert validation sheets, teacher response questionnaires, and critical reasoning tests in the form of pretest and posttest. The instrument validity test showed 15 valid items (r-count ≥ 0.4044) with a reliability coefficient (Cronbach’s Alpha) of 0.704. Since the data were not normally distributed, nonparametric tests were applied. The Wilcoxon Signed Rank test indicated significant differences between pretest and posttest scores in both classes (Sig. 0.000). The Mann–Whitney U test revealed a significant difference between the experimental and control classes (Sig. 0.000), with the experimental class obtaining a higher mean rank. The findings conclude that the Deep Learning–based PETA SITAYA media integrated with Tri-Nga significantly improves students’ critical reasoning skills in IPAS learning.