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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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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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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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Assessing Environmental Quality Using the Risk Screening Environmental Indicators (RSEI) Method: A Multi-Year Remote Sensing Approach
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
Industrial areas in Indonesia are increasing every year with a total of 136 industrial estates in 2024, of which 61.76% are in Java, such as Kendal Industrial Estate (KIE) with an increase in built-up land of 289.52 hectares (2015-2017). The problem is that the development was carried out by converting vegetation cover. The purpose of the study was to analyze the impact of the increase in built-up land on the environmental quality index around Kendal Industrial Estate. Research method with super...
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Association Between PAI-1 4G/5G Genetic Polymorphism and Uncontrolled Allergic Asthma
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
Airway remodeling is a major challenge in the management of uncontrolled allergic asthma, despite standard therapy with a combination of inhaled corticosteroids (ICS) and long-acting bronchodilators (LABA). Increased levels of Plasminogen Activator Inhibitor-1 (PAI-1) are thought to play a role in this process, and the 4G/5G polymorphism in the PAI-1 gene is one of the genetic factors that affect it. This study aimed to analyze the association between the 4G/5G PAI-1 genetic polymorphism and unc...
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Comparative Efficacy of Two Bamboo-Derived Activated Carbons for Hospital Wastewater Remediation
Setyarini, Putu Hadi
; Pembayun, Hanum Surya
; Sulistyarini, Dwi Hadi
; Purwaningtyas, Nuretha Hevy
; Dewi, Francisca Gayuh Utami
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
Liquid medical waste containing pathogens and hazardous chemicals can pollute the environment and endanger human health. The increasing volume of waste during the COVID-19 pandemic adds urgency to find effective and sustainable treatment methods. However, environmentally friendly and efficient solutions are still limited. This study aims to explore the utilization of activated carbon from two local bamboo species, Gigantochloa apus (GA) and Bambusa vulgaris (BV) as alternative adsorbents in the...
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Fuzzy Logic-Based Clustering of Teacher Digital Pedagogy Using Cybergogy Framework for Sustainable Educational Innovation
Waryanto, Nur Hadi
; Retnawati, Heri
; Setyaningrum, Wahyu
; Insani, Nur
; Hery Murtianto, Yanuar
; Caturiyati, Caturiyati
; RR Rianto, Vivi
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
Rapid changes in educational technology necessitate innovative approaches to sustainable teacher development. However, implementing learning technologies like Cybergogy faces significant challenges due to imbalances in digital pedagogy competencies and motivation among secondary school mathematics teachers. This study aims to cluster mathematics teachers' profiles based on the Cybergogy model's application using the Fuzzy C-Means (FCM) algorithm. The study involved 88 mathematics teachers from v...
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