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Enhancing self-regulated learning through artificial intelligence: experimental evidence from high school students
Self-regulated learning is a critical competency for supporting students’ academic success, yet its development remains limited by outdated, inflexible teaching approaches. Meanwhile, the potential of artificial intelligence in education continues to grow, but empirical evidence regarding its effectiveness in enhancing self-regulated learning among secondary school students in Indonesia remains limited. This study aims to test the effectiveness of using an artificial intelligence application in...
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Fostering elementary students’ civic intellectual and participatory skills through video-based moral reasoning instruction
The low level of civic skills among elementary school students, especially in intellectual and participatory aspects, reveals the need for innovative teaching methods that foster moral reasoning and active student engagement in social contexts. Video-based moral reasoning instruction is seen as a potential solution, bridging this gap by integrating concrete visualization with moral reflection. This study aims to analyze the effectiveness and mechanisms of this approach in developing civic intell...
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The Effectiveness of Combined Hatha Yoga and Tandem Walking Exercise on Balance among Older Adults in Malang
Rosidah, Nikmatur
; Ameylia, Ananda Viona
; Yuliadarwati, Nungki Marlian
; Prastowo, Bayu
; Ningrum, Annisa Salsabila Budi
; Rizal, Fahmi
; Acharya, Anup
; Prasetyo, Dwi Agung
FISIO MU: Physiotherapy Evidences
Vol 7
, No 2
(2026)
Introduction: Age-related declines in muscle strength, proprioception, and postural control contribute to balance impairment among older adults and increase the risk of falls. Non-pharmacological interventions, particularly structured physical exercise combining relaxation and balance training, have been recommended to improve balance performance. This study aimed to evaluate the effect of a combined Hatha Yoga and Tandem Walking Exercise program on balance among older adults in Malang. scores....
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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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STUDI LITERATUR : METODE PELATIHAN MANAJEMEN KESELAMATAN PROSES BAGI MANAJER, PENGAWAS DAN PEKERJA LAPANGAN DI PERUSAHAAN KILANG MINYAK BUMI
Masjuli, Masjuli
; Marhaendra, Andhika Dwi
; Handayani, Hanifah
; Ramli, Azizan
; Rosmalia, Rosmalia
Perusahaan kilang minyak bumi mempunyai potensi bahaya terjadinya kebakaran, peledakan, pencemaran lingkungan yang dapat menyebabkan korban jiwa manusia baik dari pekerja, maupun masyarakat, harta benda perusahaan, masyarakat dan kerusakan lingkungan. Oleh karena itu, untuk meminimalkan risiko, maka semua pekerja baik jenjang manajer, pengawas (supervisor), maupun pekerja lapangan (frontliner) perlu mendapatkan pelatihan untuk memahami manajemen keselamatan proses (Process Safety Management – PS...
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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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Reinforcement Learning for Personalised Critical Care Treatment using Scalable Parallel Computing
Utomo, Chandra Prasetyo
; Ichikawa, Kohei
; Insani, Nashuha
; Thonglek, Kundjanasith
; Xingyuan, Kang
; Maulani, Chaerita
; Rachmawati, Ummi Azizah
Sepsis is one of the leading causes of death in intensive care units. Many patients do not receive timely or effective treatment, which lowers their chances of survival. We developed a reinforcement learning–based framework to provide personalised treatment recommendations for sepsis patients. The model creates simple patient representations from treatment responses, groups patients with similar patterns, and learns the best treatment policy for each group. To reduce long training time, we use p...
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Motorcycle Passenger-Car Equivalents from Time-Headway Data with Lane-Occupancy Adjustment in Urban Indonesia
Aulia Dewi Fatikasari
; Achmad Dzulfiqar Alfiansyah
; Zaid Dzulkarnain Zubizaretta
; Rohmahillah Aviskanasya Septiandri
; Agistya Rachma Larasati
; Roma Artha Uly Napitupulu
; Linie Rose Dayaday Santacera
; Sinta Nabilah Salma
Motorcycles dominate traffic composition in East Surabaya, making the determination of Passenger Car Equivalent (PCE) values for motorcycles a crucial aspect of road performance assessment. This research evaluates motorcycle PCE value on six road sections on Raya Prapen Street, Jemursari Street, Jemur Andayani Street, Panjang Jiwo Street, Kali Rungkut Street, and Rungkut Industri Street, each observed in two directions (12 segments in total), with samples collected during peak hours on Monday (0...
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Deteksi Dini Peningkatan Kadar Asam Urat dan Edukasi Pola Makan Pada Warga Aisyiyah Kebasen
Jurnal Inovasi dan Pengabdian Masyarakat Indonesia
Vol 5
, No 2
(2026)
Latar belakang: Asam urat adalah senyawa pemecah purin dalam tubuh yang memiliki fungsi mengatur pertumbuhan sel dan menyediakan energi. Asam urat akan dikeluarkan melalui urin apabila penumpukan asam urat terjadi. Asam urat berlebih terakumulasi dan membentuk kristal tajam seperti jarum di persendian dan jaringan sekitarnya, hal ini bisa menyebabkan sensasi nyeri, peradangan, dan pembengkakan pada sendi. Pola makan yang tidak sehat berkaitan dengan kandungan asam urat dalam darah. Tujuan: Penga...
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Microwave-Pyrolysed Rice Husk-Derived Activated Carbon as a Sustainable Anode Material for Lithium-Ion Half-Cell Batteries
Surib , Nur Atiqah
; Mohd Abdah, Muhammad Amirul Aizat
; Farhana Syakirah Ismail
; Wong, Weng Pin
; Ab Latif, Farah Ezzah
; Mustafa, Muhammad Norhaffis
; Rashmi Walvekar
; Mohammad Khalid
Agricultural waste biomass is explored as a sustainable precursor for activated carbon. In this study, rice husk-derived activated carbon (RHAC) was synthesized via microwave-assisted pyrolysis and KOH activation at 600, 700, and 800 °C. The KOH activation enhanced the thermal stability of the samples, with RHAC_700 exhibiting a spongy, interconnected structure and a surface area of 390.33 m² g⁻¹. When evaluated as a half-cell anode materials for lithium-ion batteries, RHAC_700 delivered an init...
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