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All Journal Jurnal Informasi Kesehatan Indonesia (JIKI) Intan Husada : Jurnal Ilmiah Keperawatan Sehat Rakyat: Jurnal Kesehatan Masyarakat Journal of Information Systems for Public Health Jurnal Ilmu Psikologi dan Kesehatan Indonesian Journal of Health Information Management Services (IJHIMS) International Journal of Health, Engineering and Technology Edukasi Masyarakat Sehat Sejahtera (EMaSS) Jurnal Ilmu Kesehatan dan Gizi
Fitria Dewi Rahmawati
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary

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Factors Causing Pending BPJS Health Claims For Inpatient Services At Waled Regional Hospital In The Third Quarter Of 2025 Tiara Atika Tri Kamilah; Yanto Haryanto; Bhakti Aryani; Fitria Dewi Rahmawati
International Journal of Health Engineering and Technology Vol. 5 No. 1 (2026): IJHET MAY 2026
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijhet.v5i1.848

Abstract

Pending BPJS Kesehatan claims remain a significant obstacle to hospital financing as they can disrupt cash flow and service continuity. This study aims to analyze the factors causing pending BPJS Kesehatan claims for inpatient services at Waled Regional Hospital in the third quarter of 2025. The study used a descriptive quantitative design with a retrospective cross-sectional approach. The population and sample consisted of 908 pending claim files using a total sampling technique. The research instrument was a checklist, while data analysis was conducted descriptively using frequency distribution and percentages. The results showed that the most common cause of pending claims was the coding aspect at 41.9%, followed by the medical aspect at 35.0% and the administrative aspect at 23.1%. In the administrative aspect, the most dominant problem was the mismatch of care classes. In the medical aspect, the main cause was neonatal asphyxia that did not meet the TKMKB criteria. In the coding aspect, the most common problem was inaccurate diagnosis codes or those that needed to be adjusted to clinical data based on verification BPJS. In conclusion, pending claims at Waled Regional Hospital are multidimensional and interrelated, thus requiring strengthening clinical documentation, coding accuracy, and integrated administrative verification.
Pemetaan Sebaran Kasus Demam Berdarah Dengue (DBD) Menggunakan Geographic Information System (GIS) di Puskesmas Karangsari Tahun 2025 Putri Amelia; Yanto Haryanto; Bhakti Aryani; Fitria Dewi Rahmawati
Jurnal Ilmu Kesehatan dan Gizi Vol. 4 No. 3 (2026): Juli: Jurnal Ilmu Kesehatan dan Gizi
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jig.v4i3.9086

Abstract

Dengue Hemorrhagic Fever (DHF) remains a major public health problem in Indonesia, particularly in densely populated areas. Control efforts require accurate data and spatial analysis to understand disease distribution patterns. Geographic Information System (GIS) is an effective tool for visualizing case distribution and supporting surveillance and planning of control programs at the primary healthcare level. This study aims to describe the spatial distribution of Dengue cases based on medical record data and produce a geographic distribution map to support Dengue control efforts at the Puskesmas level. This study used a quantitative descriptive design with secondary data from medical records at Karangsari Health Center. The sample consisted of 255 DHF patients in 2025, selected using a total sampling technique. Data were processed through editing, geocoding patient addresses, and spatial analysis using QGIS software.The results showed 255 Dengue  cases in 2025 with fluctuating monthly trends, peaking in April and lowest in December. Case distribution was uneven and tended to cluster. High-risk areas accounted for 15.7%–21.2%, moderate-risk areas 9.8%–15.7%, and low-risk areas 7.1%–9.8%. Megu Cilik Village had the highest proportion of cases, while other villages were categorized as moderate and low risk. This pattern indicates that Dengue incidence is influenced by environmental conditions, vector density, host factors, rainfall, and Aedes aegypti presence. GIS provides clearer spatial visualization, helping identify high-risk areas and supporting targeted public health interventions.
Co-Authors Ari Sukawan Bambang Karmanto Bhakti Aryani Elfi Farah Salsa Nabila Fikri Muhammad Gita Fitri Rahayu Khasanah, Lina Lina Khasanah Maelivia Azilyah Maudy Mirsanda Nesta Laksono Putri Amelia Tiara Atika Tri Kamilah Totok Subianto Ulfa Fauziah Yanto Haryanto Yuniya Maghfiroh