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Evidence-based case report: effects of exercise-based cardiac rehabilitation in repaired tetralogy of Fallot
Gaster
Vol 23
, No 2
(2025)
Background: Several sequelae may persist following corrective surgery for tetralogy of Fallot (ToF), including reduced exercise capacity, compromised vascular and cardiac autonomic function, and diminished quality of life. While exercise-based cardiac rehabilitation is commonly implemented for patients with congenital heart disease, there remains a lack of comprehensive understanding regarding the optimal frequency, intensity, duration, and type of exercise. This evidence-based case report aims...
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Pulmonary Complaints Among Gas Station Operators: A Descriptive Study in Klaten Region
Gaster
Vol 23
, No 2
(2025)
Background Gas station environments pose a high risk for exposure to vehicle emissions, which may lead to respiratory health issues due to the accumulation of hazardous pollutants. Continuous exposure, particularly among gas station operators, increases susceptibility to pulmonary disorders. Objective This study aimed to describe the prevalence and characteristics of pulmonary complaints among gas station workers in the Klaten region. Methods A descriptive study was conducted at two gas stations...
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Overweight Risk Factors Among Adolescents in Indonesia Based on Economic Level Disparities: A Nationwide Study
Gaster
Vol 23
, No 2
(2025)
Introduction: Overweight among adolescents in Indonesia is a growing public health issue, influenced by socioeconomic and lifestyle factors. Urbanization and economic disparities have contributed to increased consumption of calorie-dense foods and sedentary behaviors, particularly among adolescents from higher-income families. However, the role of economic status in shaping overweight risk remains underexplored. Objective: Examining socioeconomic disparities may influence the determinants of ove...
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Toward a Modular, Low-Latency Architecture with BERT-based Big Media Data Analysis
Widyawan, Widyawan
; Universitas Gadjah Mada
; Murti, Handoko Wisnu
; Semesta Data Digital
; Putra, Guntur Dharma
; Universitas Gadjah Mada
; Nurmanto, Eddy
; Semesta Data Digital
; Affandi, Achmad
; Institut Teknologi Sepuluh Nopember
Telematika
Vol 18
, No 2
(2025)
The significant growth of digital and social media platforms has introduced massive streams of unstructured media data. However, current big data approaches are not specifically tailored to the high volume and velocity of media data, which consists of unstructured and lengthy full-text messages. This study proposes a modular and stream-oriented big data architecture for media data. The proposed architecture consists of data crawlers, a message broker, machine learning modules, persistent storage...
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Analisis Kualitas Website Diskominfotik Bengkalis Menggunakan Metode Webqual 4.0
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 4
, No 3
(2025)
Website Diskominfotik Bengkalis merupakan sarana penting dalam menyampaikan informasi kepada masyarakat, sehingga kualitasnya perlu dievaluasi untuk memastikan efektivitas komunikasi dan kepuasan pengguna. Penelitian ini bertujuan untuk menganalisis kualitas website Diskominfotik Bengkalis dengan menggunakan metode webqual 4.0, yang mencakup tiga dimensi utama: kualitas kegunaan (usability quality), kualitas informasi (information quality) dan kualitas layanan interaksi (service interaction qual...
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Web-Based Sales Management Information System for PT. Sinarta Karya Papua Using Rapid Application Development
Haloho, Haloho
; Kiswanto, Rahmat Haryadi
; Lahallo, Jim
; Haloho, Jayando
; Kiswanto, Rahmat Haryadi
; Lahallo, Jim
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 4
, No 2
(2025)
PT. Sinarta Karya Papua, a medium-scale enterprise in Eastern Indonesia, faces operational challenges due to its reliance on manual sales recording systems, leading to data duplication, delayed reporting, and limited information transparency. This hinders operational efficiency and strategic decision-making. This study aims to develop a web-based sales management information system addressing these issues using the Rapid Application Development (RAD) methodology, selected for its rapid prototypi...
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Exploring Biochar Briquettes from Biomass Waste for Sustainable Energy
Heriyanti, Andhina Putri
; Bakri, Sitty Nur Syafa
; Jabbar, Abdul
; Kholil, Putri Alifa
; Amelia, Rizki Nor
; Savitri, Erna Noor
; Rifaatunnisa
; Siti Herlina Dewi
; Habil Sultan
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
The increasing demand for renewable energy necessitates sustainable alternatives such as biochar briquettes derived from agricultural waste. This study aims to optimize the production process and evaluate the physical, mechanical, and combustion properties of biochar briquettes made from corn residues, rice husks, and coconut shells. The methodology includes biomass carbonization, binder ratio optimization, and systematic testing of key quality parameters such as moisture content, density, ash c...
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Urban Expansion, Climate Vulnerability, and Transportation Resilience: Insights for Sustainable Development
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
Climate change poses a significant threat to transportation infrastructure, particularly in rapidly urbanizing regions like Bumi Serpong Damai (BSD) City, Indonesia, which faces increased risks of flooding and the urban heat island (UHI) phenomenon. However, limited research has assessed the combined impacts of climate and land use changes on infrastructure resilience. This study addresses this gap by integrating remote sensing analysis, climatological data, field observations, and stakeholder i...
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Enhanced Air Quality Prediction Using AI: A Comparative Study of GRU, CNN, and XGBoost Models
Kayam Saikumar
; Munugapati Bhavana
; Rayudu Prasanthi
; Singaraju Suguna Mallika
; Deepthi Kamidi
; Naveen Malik
; Kapil Joshi
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
Weather monitoring is vital due to environmental changes and rising air pollution, which affects health and lifestyles. Accurate air quality prediction models are essential yet challenging due to complex weather-pollution interactions. This study employs explainable deep learning and machine learning techniques—GRU, CNN, and XGBoost—on a custom dataset of 100,000 samples with 15 features, including PM2.5, PM10, humidity, and temperature. Using SHAP for interpretability, the GRU model outperforms...
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Wear Behaviours of Sustainable Biolubricants: Influence of Fatty Acid Compositions and Surface Roughness in Mixed Lubrication Regimes
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
The advantage of biolubricant compared to mineral oil is that biolubricant can ensure environmental sustainability. This research aims to investigate sustainable biolubricants of virgin coconut oil (VCO) and olive oil on wear behaviours with different fatty acid compositions and surface roughnesses in the mixed lubrication regimes. Tests were carried out on pin-on-disc equipment at a speed of 500 rpm with loads of 50 and 100 N. We used two types of biolubricants and surface roughness of the disk...
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