Bernadus Rudy Sunindya
Poltekkes Kemenkes Malang

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Pelatihan Kesehatan dan Keselamatan Dasar bagi Relawan SAR Masyarakat di Malang Raya: Laporan Pengabdian Masyarakat: Ganif Djuadi, Diniyah Kholidah, Handy Lala, Bernadus Rudy Sunindya, Dimas Dwi, Yoga Saputra, Edi Utomo Putro, Diana Barsasella Ganif Djuadi; Diniyah Kholidah; Handy Lala; Bernadus Rudy Sunindya; Dimas Dwi; Yoga Saputra; Edi Utomo Putro; Diana Barsasella
Jurnal Persada Husada Indonesia Vol 12 No 4 (2025): Jurnal Persada Husada Indonesia
Publisher : STIKes Persada Husada Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56014/jphi.v12i4.449

Abstract

Disaster-prone countries such as Indonesia require well-prepared Search and Rescue (SAR) volunteers, not only in technical rescue skills but also in basic health and safety knowledge. This community service program, conducted by lecturers and students of Poltekkes Kemenkes Malang in collaboration with the Malang Raya SAR Unit, aimed to strengthen volunteer capacity through the “Basic Health and Safety Training for SAR Teams” held on February 8–9, 2025. The training included theoretical sessions and practical simulations covering personal protective equipment (PPE) usage, self-care, nutrition, health incident reporting, and insurance literacy. A total of 88 participants, representing the Malang Raya Forum for Coordination of Search and Rescue Potentials (FKP3), completed pre- and post-tests as well as practical evaluations. The results showed a significant increase in participants’ knowledge (from a pre-test mean of 54.95 ± 8.22 to a post-test mean of 90.34 ± 5.69, p < 0.05), with improved consistency reflected in reduced standard deviation values. Observational data confirmed participants’ enhanced ability in PPE usage, health documentation, and hygiene practices under limited conditions. These findings highlight the effectiveness of integrating health promotion, preventive approaches, and practical simulations in volunteer training. Such interventions are vital to reducing health risks during rescue operations and ensuring safer humanitarian missions. This program may serve as a replicable model for similar community-based SAR training in other disaster-prone regions.
Misklasifikasi Pasien Penyakit Jantung di Indonesia: Tinjauan Sistematis Menggunakan PRISMA: Bernadus Rudy Sunindya Bernadus Rudy Sunindya
Jurnal Persada Husada Indonesia Vol 12 No 4 (2025): Jurnal Persada Husada Indonesia
Publisher : STIKes Persada Husada Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56014/jphi.v12i4.453

Abstract

Cardiovascular disease remains the leading cause of death in Indonesia, yet epidemiological and administrative data are often inaccurate due to misclassification. Misclassification can occur at the clinical level (misdiagnosis), diagnostic level (limitations in biomarkers, ECG, or imaging), and administrative level (incorrect ICD-10 coding). This article systematically reviews the evidence on forms, causes, and impacts of misclassification of heart disease patients in Indonesia using the PRISMA framework, and identifies strategies for mitigation. Literature searches were conducted in PubMed, Scopus, Google Scholar, and national portals (Ministry of Health, PERKI, Riskesdas) using keywords related to misclassification of cardiovascular disease in Indonesia. From 512 articles identified (2012–2025), 41 were fully screened, and 11 met the inclusion criteria. Data were synthesized narratively due to heterogeneity among studies. Misclassification was most frequently observed in three domains: (1) clinical—heart failure misdiagnosed as COPD, (2) diagnostic—reliance on a single biomarker without imaging verification leading to misdiagnosed acute coronary syndromes, and (3) administrative—incorrect ICD-10 coding. National surveys such as Riskesdas 2018 and SKI 2023 also highlighted discrepancies in prevalence estimates. Misclassification of heart disease in Indonesia is a multidimensional issue impacting epidemiological accuracy, clinical quality, and financing systems. Strengthening diagnostic algorithms, training ICD-10 coders, and implementing integrated digital audits are essential to reduce misclassification rates.