Nasional University

BackgroundSustained self-care is essential for effective hypertension management, particularly dietary salt reduction. In many community-based settings, including primary care areas in Indonesia, hypertension control remains suboptimal due to inadequate self-care practices and persistent high salt consumption, contributing to unfavorable biomarkers such as elevated blood pressure, BMI, and metabolic indicators.ObjectiveThis study aimed to evaluate the effectiveness of the Behavior-Tailored Intervention (BHATIN) model on knowledge, Theory of Planned Behavior (TPB) constructs, self-efficacy, hypertension self-care behaviors, salt preference, and clinical outcomes (blood pressure, BMI, and metabolic biomarkers) among adults with hypertension.MethodsA quasi-experimental pretest–posttest design with a non-equivalent control group was conducted among 90 adults with hypertension (intervention = 45; control = 45). The intervention group received the BHATIN program integrating TPB-based behavioral strategies, mindfulness-informed coaching, skill-based training, and social support, while the control group received standard care. Data were collected using knowledge, TPB-based questionnaires and clinical measurements (salt preference, blood pressure, BMI, and metabolic biomarkers) and analyzed using paired and independent t-tests (p < 0.05).ResultsThe intervention group showed significant improvements in attitude, subjective norm, perceived behavioral control, intention, self-efficacy, and self-care behaviors (all p < 0.001). Significant reductions were also observed in systolic and diastolic blood pressure, total cholesterol, random blood glucose, and salt preference (p < 0.05), where the control group showed minimal change.ConclusionThe BHATIN model improves psychosocial determinants, self-care behaviors, salt preference, and selected clinical biomarkers among adults with hypertension, providing a feasible nurse-led strategy for community-based hypertension management.

The prevalence of growth and developmental disorders among toddlers remains high, reaching 28.7%, and children experiencing early growth delays are at increased risk of developing non-communicable diseases such as diabetes and cardiovascular disorders later in life. Developmental delays that occur before age 20 may persist and affect long-term health outcomes. This study aimed to examine the impact of infant massage on growth, development, and mother–infant interaction among infants aged 6–12 months. A pre-experimental study with a pretest–posttest control group design was conducted. A total of 40 infants aged 6–11 months were recruited using total sampling and allocated into an intervention group (n = 20) and a control group (n = 20). Study instruments included the Bethlehem Mother–Infant Interaction Scale (BMIS), the Ages and Stages Questionnaire–Third Edition (ASQ-3), standardized infant massage procedures, observation sheets, weight scales, and length measurement tools. Data were analyzed using descriptive statistics and nonparametric inferential tests, including the Wilcoxon Signed Ranks Test for within-group comparisons and the Mann–Whitney U Test for between-group comparisons. The results demonstrated significant improvements in growth, developmental outcomes, and mother–infant interaction following infant massage in the intervention group. In contrast, no significant changes were observed in the control group across assessment periods. Significant differences were also identified between the intervention and control groups. In conclusion, infant massage is effective in enhancing growth, development, and mother–infant interaction among infants in Depok City. Training and educational programs on proper infant massage techniques are recommended for mothers to promote regular practice at home, strengthen emotional bonding, and support optimal infant development.

The transformation of national healthcare governance following the enactment of Law Number 17 of 2023 marks a radical shift in disciplinary enforcement from a regime of professional autonomy to a state-centred one. This centralization of power triggers administrative legal problems regarding the MDP’s institutional independence, which is anomalous in its accountability to the Minister of Health, and gives rise to clashes between procedural authority and the managerial autonomy of healthcare facilities. This research aims to analyze the legal position, procedural supremacy, and material jurisdictional limitations of the MDP as the central authority for the disciplinary enforcement of medical and healthcare professionals. Employing a normative legal research method, this research examines the coherence of norms in the latest regulations. The research results demonstrate that the MDP possesses absolute attributive authority that legally annuls the tradition of collegial dispute resolution, including the prohibition on internal hospital mediation. Functionally, the Council acts as a prejudicial dispute determiner, obliged to issue a recommendation before criminal law enforcement is executed, with jurisdiction confined to 17 types of disciplinary violations. This research concludes that executive dominance in disciplinary enforcement provides legal certainty through the objectivity of violation parameters, yet demands a total restructuring of internal hospital regulations to submit to the supremacy of state administrative law.

Deformasi permukaan merupakan fenomena geologi yang memerlukan pemantauan berkelanjutan, terutama di wilayah dengan pertumbuhan infrastruktur pesat seperti Bogor, Jawa Barat. Penelitian ini menganalisis pola deformasi permukaan di daerah Bogor menggunakan metode Persistent Scatterer Interferometric Synthetic Aperture Radar (PS-InSAR) dengan memproses 102 citra satelit Sentinel-1A/B periode Februari 2017 hingga April 2025. Pemrosesan PS-InSAR berhasil mengidentifikasi 6.687 titik PS yang tersebar di wilayah penelitian. Analisis spasial menunjukkan pola deformasi heterogen dengan subsiden tanah maksimum mencapai -8,95 mm/tahun di zona urban selatan, sementara pengangkatan hingga +3,12 mm/tahun terdeteksi di bagian utara. Integrasi dengan data geologi dan hidrogeologi menunjukkan bahwa deformasi permukaan dikontrol oleh mekanisme konsolidasi endapan vulkanik Kuarter yang belum terkompaksi sempurna, dikombinasikan dengan subsiden tekanan air pori akibat ekstraksi airtanah intensif dan pembebanan antropogenik. Kurva deret waktu mengungkapkan tren subsiden linear berkelanjutan dengan modulasi musiman yang konsisten dengan siklus hidrogeologi. Penelitian ini menunjukkan bahwa PS-InSAR sangat efektif untuk pemantauan deformasi permukaan dalam region urban vulkanik dan memberikan data baseline penting untuk mitigasi becncana geologi. Ground surface deformation is a crucial geological phenomenon requiring continuous monitoring, particularly in rapidly urbanizing regions with complex geology like Bogor, West Java. This study analyzed ground surface deformation patterns in the Bogor area using the Persistent Scatterer Interferometric Synthetic Aperture Radar (PS-InSAR) method by processing 102 Sentinel-1A/B satellite images from February 2017 to April 2025. PS-InSAR processing successfully identified 6,687 PS points distributed across the study region. Spatial analysis reveals heterogeneous deformation patterns with maximum subsidence reaching -8.95 mm/year in the southern urban zone, while uplift up to +3.12 mm/year is detected in the northern area. Integration with geological and hydrogeological data indicates that surface deformation is controlled by consolidation mechanisms of incompletely compacted Quaternary volcanic deposits, combined with pore pressure reduction from intensive groundwater extraction and anthropogenic loading. Time-series curves reveal continuous linear subsidence trends with consistent seasonal modulation with hydrogeological cycles. This research demonstrates that PS-InSAR is highly effective for surface deformation monitoring in volcanic urban regions and provides critical baseline data for geological hazard mitigation.

This paper aims to systematically review and map research on the explanatory factors of business resilience in the SME sector. Articles were taken from several Google Scholar and Scopus databases, selected, reviewed from 2012–2020. There were 68 articles collected from Google Scholar and 68 from Scopus so that the number of articles with the keyword SME resilience was 136. There were 93 articles excluded because they were not relevant and 35 because of research duplication, so that the articles used in this research are 9. Based on the literature review there are 5 themes, namely: Mastery of Digital Technology with the sub-themes of Information System Artifact, Big Data Analytical Capability, Government support, E-Commerce Adoption, Digital technology Adoption and Digital Marketing; 2) Business Capabilities with the sub-themes of sensing, seizing and reconfiguring; 3). Social Capitals with structural, relational and cognitive sub-themes; 4). Economic Disasters with the sub-themes of socio-economy, recovery and financial; and 5) Business Processes with sub-themes of planning, marketing and management. This paper contributes to the literature by offering a comprehensive research map on the explanatory factors of SME business resilience during the COVID-19 pandemic.

Purpose - Indonesia's vulnerability to disasters necessitates a more structured and competency-based approach to emergency response. This study investigates the application of the ASEAN Qualifications Reference Framework (AQRF) in occupational mapping for disaster management in three high-risk provinces: Aceh, North Sumatra, and Padang. Design/methodology/approach - Using the Rapid Assessment Process (RAP), qualitative data were collected through interviews, document analysis, and field observations. The data were analyzed using the four functional areas of disaster management defined in the AQRF: preparedness, response, recovery, and mitigation. Originality - his paper contributes to the growing discourse on professionalizing disaster response through structured competency frameworks. It offers localized insights for implementing regional frameworks like AQRF in decentralized disaster governance settings. Findings and Discussion - The study identifies significant institutional gaps in disaster workforce planning, particularly the absence of defined occupational roles and certified competencies. AQRF-based occupational mapping provides a viable model to enhance clarity, coordination, and capacity development in local disaster management agencies. Conclusion - AQRF-based occupational mapping holds significant potential to improve disaster management outcomes in Indonesia’s most vulnerable provinces. Integrating this framework into local policies and training systems can lead to more resilient, responsive, and professionally managed emergency response structures.

Adolescent spinal postural deviations are rising across Southeast Asia, driven by prolonged screen exposure and limited access to clinical screening in low-resource environments. To address this gap, we developed PostureGuard, a low-cost AI system that provides real-time posture assessment and school-based screening support. The system incorporates a Southeast Asia-calibrated pose estimation model, benchmarked against radiographic references and validated using wearable sensor measurements. In a field deployment involving 200 students across 15 Indonesian schools, PostureGuard achieved a mean absolute error below 2.3° for forward head angle estimation. We further identified a dose-response association in which each additional hour of daily screen time was associated with an estimated 2.1° increase in forward head angle. A preliminary six-month school implementation suggested improvements in posture-related indicators; however, these observations were not derived from a controlled clinical trial. PostureGuard has since been piloted within Indonesia's 2024 Digital Wellness Mandate initiative. This work presents a regionally calibrated AI-based posture screening framework with clinical benchmarking and demonstrated scalability for adolescent spinal health monitoring in resource-limited settings.

Poverty remains a major social issue in many developing countries, including Indonesia, as seen in the Central Java region. Over the last five years, the number of impoverished people in Central Java has shown fluctuations, with data from the Central Statistics Agency indicating figures of 3,897.20 thousand (2018), 3,743.23 thousand (2019), 3,980.90 thousand (2020), 4,109.7 thousand (2021), and 3,831.44 thousand (2022). Analyzing these trends is crucial for future poverty reduction efforts. This study aims to develop a web-based predictive system capable of forecasting the poverty line, as well as the number and percentage of poor residents in Central Java. The research utilizes a hybrid forecasting model that integrates the Holt-Winters triple exponential smoothing (HWTES) method with fuzzy time series (FTS), alongside algorithmic approaches such as rate of change (RoC) and frequency-based segmentation. The model's accuracy, evaluated using the average absolute percentage error (MAPE), shows low error rates: 0.9% for the number of impoverished people, 1.6% for the percentage, and 0.7% for the poverty threshold. Compared to the standard HWTES model, this hybrid model demonstrates greater precision. As a result, it can serve as an effective tool to support strategic planning and enhance poverty alleviation programs in Central Java.

Background: Renewable energy in rural areas is a complex issue with interactive effects, thus reveals the dynamics of governance barriers in Indonesia that have not been resolved since the responsibility through the Sustainable Development Goals (SDG) initiative framework was delegated to local (rural) governments to be actualized in the field, but if seen in reality the results have not been significant, so that the expected goals have not been achieved consistently. Methods: The study applied a qualitative descriptive approach and content analysis to investigate, comprehend, and analyze the dynamic governance of renewable energy in rural areas, with a special focus on Indonesia. Finding: The key findings reveal that crumbling governance is the main issue at the central-local level structure in actualizing the renewable energy initiative. Hence, policy misalignment, duplicated efforts, and inefficient initiatives affect the governance dynamics. Conclusion: The study concludes that the Indonesian government (central-local) must intensify the institutional frameworks, foster stakeholder collaboration, simplify regulatory processes, and assist local capacity building to move forward. These steps will enable more efficient, responsive, and sustainable renewable energy governance in rural areas. Novelty/Originality of this article: The novelty contributes to the broad scientific implications of renewable energy as a governance framework to elicit prosperity for the community in rural areas of Indonesia and other developing countries based on the Sustainable Development Goals (SDGs) for affordable and clean energy prospects.

Peatlands are vulnerable ecosystems that require sustainable management patterns based on local wisdom. Madura farmers in Malikian Village, Mempawah Hilir District, Mempawah Regency have ethnoecological knowledge that has been passed down from generation to generation in managing peatlands. This study aims to analyze the form of ethnoecological knowledge of Madura farmers and the peatland management practices they implement. The research uses a qualitative approach with ethnographic methods. Data were collected through field observations, in-depth interviews, and documentation, then analyzed using an interpretive descriptive approach. The results show that Madura farmers apply the principle of natural balance, selection of planting time based on natural signs, traditional soil cultivation techniques, and adaptive water control suited to peat characteristics. The discussion emphasizes that these ethnoecological practices contribute to maintaining soil fertility and minimizing damage to peat ecosystems. This study concludes that the ethnoecological knowledge of Madura farmers plays an important role as the basis for sustainable peatland management that is relevant for development in environmental management policies