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Menampilkan 31–40 dari 6844 artikel
FTFPOS-IDF: A Fuzzy Rule-Based Thematic Term Weighting Scheme for Bloom's Taxonomy Question Classification
The increasing adoption of Artificial Intelligence (AI) in education has created a growing demand for automated and reliable assessment systems. Existing Bloom’s Taxonomy (BT) question classification approaches commonly rely on TF-IDF-based weighting schemes, which assign static term weights and often fail to capture the varying thematic importance of terms across cognitive levels. To address this limitation, this study proposes a novel Fuzzy Thematic Feature and Part-of-Speech Inverse Document...
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Optimization of Tracking Algorithm on Mouse Movement Monitoring Platform in Medical Testing
Ibrahim, Sutrisno
; Rohmani, Rahmat
; Hariyono, Joko
; Rahutomo, Faisal
; Wiyono, Nanang
; Yudhani, Ratih
Accurate monitoring of mouse behavior in the Elevated Plus Maze (EPM) is essential for anxiety-related biomedical research, yet manual observation is time-consuming, subjective, and prone to human error. This study proposes an optimized automated tracking framework that integrates YOLOv8 detection with tracking methods including an adaptive Kalman Filter and DeepSORT, and compares them with conventional trackers such as CSRT and GOTURN. System performance was evaluated using Intersection over Un...
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Metaheuristic Optimization Stacking Application for Rainfall Classification: A Comparative Study
Accurate rainfall classification plays a vital role in effective meteorological forecasting, agricultural planning, and also to avoid natural disasters. However, standard classification models often exhibit unstable performance. This study evaluates the effectiveness of an Ensemble Stacking framework enhanced with Optimized Swarm Based and Metaheuristic method such as Artificial Bee Colony (ABC) and Cuckoo Search (CS) optimization algorithms to improve prediction reliability. The proposed approa...
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ECCFD-GNN: A Novel Risk-Sensitive Graph Neural Network Model for Fraudulent Transaction Detection
The study presents the integration of machine learning techniques for detecting the credit card fraud. Its integration maintains a behavioral profile of cardholders and other parameters like location, frequency, amount etc. resulting in the timely detection of any anomaly from the normal behavior. A novel approach ECCFD-GNN (Enhanced Credit Card Fraud Detection based on Graph Neural networks) is proposed enhancing the performance of fraud detection. The various behavioral indicators taken into c...
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CFD Simulation of Flame Characteristics Resulting from Volatile Matter Combustion of Various Biomass Pellets
Fitrah, Ramavi Akbar Akhsanul
; Kusumaningtyas, Ratna Dewi
; Widjanarko, Dwi
; Widyastuti, Catur Rini
; Hidayat, Muslikhin
; Aziz, Muhammad
While biomass is a promising carbon-neutral alternative to coal, the specific volatile matter (VM) flame characteristics of diverse biomass pellets, particularly water hyacinth, remain under-researched. This study uses a numerical CFD approach (Ansys Fluent) to investigate how varying VM fractions influence flame structure in a 2D planar slice of the furnace block (25 cm width). Simulations employed the SST k–ω turbulence and Eddy dissipation model to capture mixing-limited chemical reactions. B...
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Analysis of the Implementation of Hospital Management Information Systems Using the HOT-Fit Method at Sebelas Maret University Hospital
LUTHFIYYAH, ANGGRAINI
; Regina Putri, Frestiany
; Ratri Sukmaningsih, Wahyu
; Syarry Handoko, Anggraini Luthfiyyah
; Regina Putri, Frestiany
; Ratri Sukmaningsih, Wahyu
MEDIKA TRADA : Jurnal Teknik Elektomedik Polbitrada
Vol 7
, No 1
(2026)
The implementation of the Hospital Management Information System (SIMRS) is an important part of supporting fast, accurate, and integrated health services. Sebelas Maret University Hospital has implemented the Techno Medic application to support Electronic Medical Records (EMR) in outpatient services. This study aims to determine the implementation of SIMRS based on the HOT-Fit approach, which includes Human, Organization, Technology, and Benefit aspects. The study used a qualitative descriptive...
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A data analytics driven digital supervision model for enhancing school counselors’ competencies in the era of technological transformation
This study addresses the need to enhance school counselors’ professional competencies through innovative supervision approaches in the era of digital transformation. The study aimed to develop and validate a data analytics-based digital supervision model for school counseling using a mixed-methods design. The quantitative phase involved 150 school counselors whose competencies were measured using a validated scale (Cronbach’s ? = .89). Results showed a significant increase in competency scores f...
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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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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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Differences in Knowledge Levels in Providing Online Fire Simulations and Offline Fire Simulations at a Steel Manufacturing Company in Semarang
Jurnal Kesehatan
Vol 19
, No 1
(2026)
Pendahuluan: Perusahaan manufaktur besi dan baja memiliki potensi bahaya kebakaran yang tinggi karena proses produksinya menggunakan suhu di atas 400°C. Oleh karena itu, kemampuan pekerja dalam menurunkan risiko kebakaran dan merespons keadaan darurat kebakaran sangat diperlukan. Metode: Penelitian ini merupakan penelitian kuantitatif dengan metode kuasi-eksperimen menggunakan desain pre-test dan post-test. Penelitian melibatkan 50 pekerja yang dibagi menjadi dua kelompok. Kelompok pertama mend...
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