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Menampilkan 1921–1930 dari 15183 artikel
Midwives’ Experiences in Providing Maternal Health Services during the COVID-19 Pandemic: A Qualitative Study at Sedayu I Primary Health Centre
Gaster
Vol 23
, No 2
(2025)
Background During the COVID-19 pandemic, midwives experienced increased physical and emotional fatigue, elevating their risk of burnout and potentially impacting the quality of maternal healthcare services. Objective This study aimed to explore midwives’ lived experiences in delivering antenatal and childbirth care during the COVID-19 pandemic. Methods A qualitative study was conducted using a phenomenological approach. Seven midwives from Sedayu I Primary Health Centre were selected through pur...
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Family Support and Elderly Participation in Posbindu Activities: A Cross-Sectional Study at Urug Public Health Center, Tasikmalaya
Gaster
Vol 23
, No 2
(2025)
Background: Indonesia is entering an aging population phase, in line with the global increase in the number of older adults. The World Health Organization (WHO) reports that more than 700 million people are aged 65 years and over worldwide, a figure projected to rise sharply by 2050. In response, the Indonesian government established the Integrated Development Post (Posbindu) to promote early detection, monitoring, and prevention of non-communicable diseases among the elderly. Objective: This st...
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The Midwives’ Roles in Community-Based Stunting Prevention: A Qualitative Study in Primary Health Services
Gaster
Vol 23
, No 2
(2025)
Background Stunting remains a major public health concern in many low- and middle-income countries, with long-term consequences for cognitive development, educational achievement, and economic productivity. Midwives, particularly in decentralized health systems like posyandu in Indonesia, play a vital role in early prevention efforts. However, limited research has explored their contextualized contributions within community-based health services. Objective This study aimed to explore the strateg...
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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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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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Evaluating Sustainable Waste Collection Models Using the Analytical Hierarchy Process (AHP): A Multi-Criteria Decision-Making Approach
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
The growing issue of disposable baby diaper waste requires an effective collection model to support sustainable waste management. This study designs a community-based collection model using the Analytical Hierarchy Process (AHP) method to identify the most effective approach. Three models are evaluated: Model 1 (Community-Based Diaper Bank), Model 2 (Scheduled Diaper Pick-Up Program), and Model 3 (Diaper Collection Points at Public Facilities). Results show Model 1 is the most effective, with th...
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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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