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The Correlation Between Physical Activity and Quality of Life Among Physiotherapy Students at Muhammadiyah University of Malang, Class of 2022
Rafli Arrahim, Muhammad
; Rosidah, Nikmatur
; Baruna, Arys Hasta
; Muthohiry, Muhammad Raiz
; Prastowo, Bayu
; Rizal, Fahmi
; Prasetyo, Dwi Agung
FISIO MU: Physiotherapy Evidences
Vol 7
, No 2
(2026)
Introduction: Physical activity is any activity that requires physical effort and can increase heart rate and breathing. Physical activity plays a role in maintaining physical fitness, strengthening the heart and lungs, reducing the risk of chronic diseases, and helping to improve mood, reduce stress, and enhance quality of life. This study aims to determine the relationship between physical activity and quality of life among students in Malang. Methods: This study employed a correlational desig...
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The Effect of Hydrotherapy on Balance and Mobility in Post Stroke: Meta Analysis
FISIO MU: Physiotherapy Evidences
Vol 7
, No 2
(2026)
Introduction: Stroke is one of the leading causes of disability, affecting balance and mobility. Physical therapy rehabilitation efforts continue to be developed to optimize the recovery of motor function. Hydrotherapy, with the unique properties of the aquatic environment, is believed to offer therapeutic benefits in improving physical function and quality of life for post-stroke patients. This study aims to systematically and quantitatively evaluate the effectiveness of hydrotherapy in improvi...
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Performance Optimization of a Petrochemical Cooling Tower via Fill Replacement: Cleanflow vs Cleanflow Plus
This study investigates the performance improvement of an induced draft, counterflow cooling tower after replacing the existing Cleanflow fill with Cleanflow Plus. One cell (E) was upgraded while four cells (A–D) served as the baseline under CTI ATC-105 procedures. Measurements included outlet temperature, wet-bulb temperature, circulation flow, and fan power. Results show that Cell E achieved a higher cooling range (9.20°C vs. 8.63°C average) and a lower approach (6.29°C vs. 6.87°C average). He...
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CFD-Based Thermohydrodynamic Analysis of Vegetable Oil Lubricants in Journal Bearings
This study investigates the thermohydrodynamic performance of journal bearings lubricated with palm trimethylolpropane (TMP) ester as a biolubricant, compared to conventional engine oil, using computational fluid dynamics (CFD) in ANSYS Fluent. The objective is to evaluate the influence of lubricant type on pressure distribution, load carrying capacity, friction force, and cavitation behavior. The results show that palm TMP ester generates higher hydrodynamic pressure while maintaining a similar...
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Performance Evaluation of a Community-Scale Fiberglass Anaerobic Digester for Biogas and Nutrient Recovery
The management of organic waste using an anaerobic reactor offers the potential for renewable energy production and nutrient recovery. This study evaluates the performance of a 3,000 L fiberglass anaerobic reactor designed to treat a mixture of kitchen waste, cow manure, and water in a 1:1:1 ratio. The process was conducted under mesophilic conditions (30–38 °C) over a 40-day batch cycle. The reactor produced a total of 63.75 m³ of biogas with an average methane content of 59.3%, equivalent to 0...
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Effect of Printing Speed on the Properties of 3D Printed Products Using Recycled PET Filament
Fitriyana, Deni Fajar
; Agung Efriyo Hadi
; Nugroho Suhodo
; Aldias Bahatmaka
; Januar Parlaungan Siregar
; Tezara Cionita
; Zuhriyan Ash Shiddieqy Bahlawan
; Achmad Yanuar Maulana
Recycled PET has been widely studied for its potential use in 3D printing applications. However, few research has examined how printing speed affects recycled PET filament products' mechanical and physical qualities. This research examines how printing speed influences the physical and mechanical qualities of 3D-printed PET filament goods created from mineral water bottle trash. In this study, filament fabrication is carried out using the homemade pultrusion machine, then the filament is used fo...
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Comparative Deep Learning Models for Indonesian Gold Price Forecasting
Putra, Albi Pernata Jomantara
; Williamsyah, Baginda Mi’raj
; Rizal, Achmad
; Dewanta, Favian
; Prasasti, Anggunmeka Luhur
; Ziani, Said
This study evaluates LSTM, CNN-LSTM, LSTM-GRU, and CNN-LSTM-GRU architectures for forecasting Indonesian gold prices using 1,269 daily observations (2022–2025). Models utilized Bayesian-optimized hyperparameters and were benchmarked against ARIMA-GARCH and Random Forest baselines across 30-day and 365-day horizons. Performance was assessed via MAE, RMSE, R², and MAPE, confirming deep learning’s superiority in capturing non-linear dynamics over classical methods. The LSTM-GRU achieved the best nu...
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Corrosion Inhibition of Mild Steel by Ethanolic Terminalia microcarpa Decne Leaf Extracts in 3.5% NaCl Solution: A Gravimetric and Surface Analysis Studies
Mild steel is widely used but vulnerable to corrosion, with conventional inhibitors posing toxicity risks. This study evaluated the leaf extracts of Terminalia microcarpa Decne, also locally known as kalumpit, as a green corrosion inhibitor for mild steel in a 3.5% NaCl solution. The prepared extracts, characterized by FTIR, were found to contain phytochemicals with inhibition potential. Weight loss measurements showed that inhibition efficiency was concentration-dependent, but was not influence...
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Comparative Evaluation of Automatic Labeling and Modeling Strategies for Indonesian Sentiment Analysis: Methodology and Performance Evaluation
Latifa, Khoiriya
; Agung Handayanto
; Nur Latifah Dwi M.S
; Rahul Bhandari
; Ton Nguyen Trong Hien
; Doston Pirnazarov
Sentiment analysis is vital for understanding consumer perception, yet Indonesian sentiment classification faces challenges due to labeled data scarcity and computational constraints. This study advances automatic labeling techniques and establishes performance benchmarks for Indonesian text. The research compares two labeling approaches InSet Lexicon and IndoBERT based Hugging Face pipeline on 8,447 Tapera-related opinions. Results show InSet Lexicon produced a highly skewed distribution (89.66...
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Exploring Mathematics Teachers’ Perceptions of ChatGPT for Personalized Learning and Technology Dependence
The development of artificial intelligence, particularly ChatGPT, has begun to influence mathematics learning in classrooms. This technology is not only used as a learning support tool but also affects how teachers teach and how students understand mathematical concepts. This study aims to analyze the effectiveness of ChatGPT in mathematics learning, its benefits and challenges, and the potential for technology dependence based on mathematics teachers’ perspectives. This study employed a System...
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