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Menampilkan 41–50 dari 8952 artikel
Evaluating Behavior-Driven Metrics in Gamified Hybrid Environments: A Structural Analysis Approach
Henka Bayu Seta
; Zatin Niqotaini
; Sarika Afrizal
; Theresiawati
; Artika Arista
; Rapolo Joshua Napitupulu
; Muhammad Ibrahim Al Farisi
Despite the widespread adoption of gamification in higher education, a significant research gap remains regarding the structural pathways through which specific game elements influence psychological drivers and academic success in hybrid settings. This study addresses this by evaluating the impact of badges, points, progress bars, and leaderboards on student motivation and outcomes using a quantitative approach with a sample of 437 university students in Indonesia. Data were analyzed using Parti...
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Analysis of the Efficiency of Universal Bacterial Filters with the Adapter Port on the GE Carescape R860 Ventilator Using the Uncertainty Method
Pramusinto, Dian Bambang
; Dwi Prasetyowati, Sri Arttini
; Pramusinto, Dian Bambang
; Dwi Prasetyowati, Sri Arttini
MEDIKA TRADA : Jurnal Teknik Elektomedik Polbitrada
Vol 7
, No 1
(2026)
The frequency of filter replacement that must always be replaced increases the hospital's budget requirements for consumables (BHP). An alternative solution is to replace the original filter with a universal filter with the addition of ports so that it can be compatible on the ventilator machine. This study aims to analyze the effect of using universal bacterial filters modified with ports to be compatible with ventilators. The research was conducted with a quantitative approach and internal and...
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Analysis of Cardiac Arrhythmia Detection Using Spectrograms and Convolutional Neural Networks (CNN) for Nursing Care
MEDIKA TRADA : Jurnal Teknik Elektomedik Polbitrada
Vol 7
, No 1
(2026)
Cardiac arrhythmia is a leading cause of sudden death, requiring rapid detection in emergency department nursing care. Manual interpretation of electrocardiograms (ECGs) is often time-consuming and prone to human error. This study aims to develop a lightweight and accurate automated arrhythmia classification system using a deep learning approach. The proposed method transforms one-dimensional ECG signals into two-dimensional visual representations in the form of spectrograms using the Short-Time...
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Quantitative Modeling of Change Order Impacts on Cost and Time Overruns in Indonesian Toll Road Infrastructure Projects
Change Orders (COs) are a major challenge in toll road infrastructure projects, often causing cost and time overruns. This study aims to identify key CO drivers and quantify their impacts on project performance in Indonesian toll road projects. A mixed-methods approach was applied, involving qualitative interviews with 35 experts (project managers, consultants, contractors) and quantitative surveys from 75 respondents covering 20 projects implemented between 2015 and 2023. Data analysis employed...
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Camera-Based Smart Mirror with Machine Learning for Postural Analysis: System Development and Reliability Evaluation
Early postural assessment using camera-based systems remains technically challenging due to variability in user positioning and limited evaluation of measurement repeatability. This study presents the development and repeatability evaluation of a smart mirror system for automated postural analysis using pretrained pose estimation and rule-based geometric classification. The system consists of a fixed camera mounted above a mirror and a connected computing device for real-time processing and visu...
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A CIA-based Sustainable Security Risk Mitigation Model for E-Certificate Systems
Suharsono, Teguh Nurhadi
; Choi , John
; Agusiady , Raden Ricky
; Saepudin, Didin
; Sukadwilinda
; Purwanto, Heri
; Savitri , Peti
; Munastha, Ketut Abimanyu
E-certificates are increasingly adopted across sectors, yet existing studies have not developed an integrated risk mitigation model that combines CIA-based sustainable security with operational and stakeholder perspectives. Current frameworks primarily address isolated technical risks or focus on general PKI security, leaving a gap in holistic modeling tailored to end-to-end e-certificate implementation. This study addresses this gap by proposing a Sustainable Security Risk Mitigation Model for...
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From wisdom to life satisfaction: Unpacking the mediating role of gratitude
Adolescents’ life satisfaction is an important indicator of subjective well-being and has been associated with better mental health and academic adjustment. This study examined the effect of wisdom on life satisfaction among high school students and tested gratitude as a mediator of this relationship. A quantitative cross-sectional design was employed using simple mediation analysis (PROCESS Macro Model 4). The participants were 544 high school students in Semarang, selected through random sampl...
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The challenges of recovery resilience in drug addicted clients: An addiction counselor's perspective
Drug addiction is a problem for addicted clients who need help recovering from addiction counselors. However, the challenges of resilience to recovery in the outpatient rehabilitation process are caused by social stress and the lack of meaning in life. Therefore, the research objective was to explore the challenges of resilience in recovery from drug addiction from the perspective of addiction counselors. A descriptive phenomenological design was used, supported by in-depth interviews with two p...
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Digital empathy in online communication: A systematic literature review
The rapid development of digital technology has transformed how individuals communicate in modern society, reducing nonverbal cues essential for emotional understanding. Consequently, digital empathy defined as the ability to understand and respond to others’ emotions through digital media has gained increasing attention. This study aims to synthesize research trends and challenges related to digital empathy in online communication through a Systematic Literature Review (SLR) of peer-reviewed ar...
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Relationship of Age, Working Period, and Work Fatigue with Musculoskeletal Disorders (MSDs) Among Weaving Workers in Textile Industry
Jurnal Kesehatan
Vol 19
, No 1
(2026)
Pendahuluan: Gangguan Muskuloskeletal (MSD) adalah gejala umum yang dialami oleh pekerja industri tekstil akibat aktivitas kerja berulang, postur statis, dan beban kerja fisik yang tinggi. Penelitian ini bertujuan untuk menganalisis hubungan antara usia, masa kerja, dan kelelahan kerja dengan gejala MSD di antara pekerja area tenun di industri tekstil. Metode: Penelitian kuantitatif ini menggunakan desain cross-sectional dengan 100 responden yang dipilih melalui simple random sampling. Data diku...
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