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All Journal Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat BAREKENG: Jurnal Ilmu Matematika dan Terapan J-SAKTI (Jurnal Sains Komputer dan Informatika) Saintifik : Jurnal Matematika, Sains, dan Pembelajarannya Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Community Empowerment Jurnal Kesehatan Saintika Meditory J-SAKTI (Jurnal Sains Komputer dan Informatika) PELS (Procedia of Engineering and Life Science) Jurnal Inovasi Pengabdian dan Pemberdayaan Masyarakat Prosiding Seminar Informasi Kesehatan Nasional
Saputro, Agung Dwi
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Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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MODEL STOKASTIK DENGAN PENDEKATAN GENERALIZED LINEAR MODEL UNTUK MENGESTIMASI CADANGAN KLAIM INCURRED BUT NOT REPORTED Seru, Feby; Azizah, Azizah; Saputro, Agung Dwi
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 4 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (727.387 KB) | DOI: 10.30598/barekengvol15iss4pp607-614

Abstract

One of the crucial things in the insurance business is determining the amount of IBNR claim reserves. The amount of IBNR's claim reserves is uncertain so it is necessary to estimate as accurately as possible. The estimation results of IBNR's claim reserves will affect the solvency and sustainability of the company. To calculate the estimated IBNR claim reserves, several approaches are used both deterministically and stochastically. This study uses a stochastic model with the GLM approach for data that is assumed to have an ODP distribution. Besides, this study also uses 2 different methods to calculate parameter estimates in the model, namely by performing parameter transformations and using the Verbeek algorithm. This study will compare the results of the IBNR claim reserve estimation obtained using these two methods in estimating the parameters in the model. The estimation results obtained indicate that the value of the IBNR claim reserves is the same. The advantage of the Verbeek algorithm is that the resulting parameter values ​​have interpretations.
ANALISIS KETEPATAN KODE DIAGNOSIS DIABETES MELLITUS BERDASARKAN ICD-10 PASIEN RAWAT JALAN DI PUSKESMAS PLERET BANTUL Saputro, Agung Dwi; Julia, Siti
Prosiding Seminar Informasi Kesehatan Nasional 2023 : SIKesNas 2023
Publisher : Fakultas Ilmu Kesehatan Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/sikenas.vi.2838

Abstract

Klasifikasi penyakit adalah kegiatan mengelompokkan penyakit-penyakit dan prosedur-prosedur yang sejenis berdasarkan ICD-10 (International Statistical Classification of Disease and Related Health Problems Tenth Revision). Analisis ketepatan kode diagnosis sangat penting karena apabila kode tidak tepat atau tidak sesuai dengan ICD-10 akan mempengaruhi laporan sepuluh besar penyakit serta turunnya mutu pelayanan di Puskesmas. Berdasarkan studi pendahuluan di Puskesmas Pleret Bantuk pada 10 rekam medis pasien diabetes mellitus (100%) yang hanya dikode sampai karakter ketiga dan 0 rekam medis (0%) yang dikode sampai karakter keempat. Tujuan penelitian ini adalah mengetahui proses pemberian kode diagnosis diabetes mellitus, menghitung persentase ketepatan kode diagnosis diabetes mellitus serta mengetahui faktor-faktor yang mempengaruhi ketidaktepatan pemberian kode diagnosis diabetes mellitus pasien rawat jalan di Puskesmas Pleret Bantul. Jenis penelitian ini menggunakan metode penelitian deskriptif dengan pendekatan kualitatif, rancangan yang digunakan adalah survei cross sectional. Subjek dalam penelitian ini adalah dokter, perawat, kepala rekam medis dan petugas rekam medis. Objek dalam penelitian ini adalah rekam medis diabetes mellitus pasien rawat jalan periode bulan Oktober sampai dengan Desember tahun 2021 dengan sampel 66 rekam medis. Teknik pengumpulan data dalam penelitian ini adalah observasi, wawancara dan studi dokumentasi. Hasil penelitian menunjukkan bahwa pengkodean diagnosis di Puskesmas Pleret Bantul dilakukan oleh dokter dan perawat pada masing-masing poliklinik. Jumlah kode diagnosis diabetes mellitus yang tepat sebesar 0% dan yang tidak tepat sebesar 100%. Faktor penyebab ketidaktepatan kode diagnosis diabetes mellitus yaitu Sumber Daya Manusia (SDM) yang belum sesuai kompetensi, belum pernah dilakukan evaluasi berupa audit koding dan pelatihan khusus terkait pengkodean, belum adanya anggaran biaya pelatihan khusus terkait pengkodean, pada SIMPUS masih terdapat kode yang hanya dikode sampai digit ke-3, belum adanya SOP yang mengatur terkait pengkodean serta belum optimalnya penggunaan ICD-10 dalam proses pengkodean.
EVALUATION OF VARIABLE AND META DATA SUITABILITY OF EMR AT EMERGENCY DEPARTMENT OF NUR HIDAYAH HOSPITAL Kurniawati, Intan; Yuliani, Rizka Dwi; Saputro, Agung Dwi
Jurnal Kesehatan Saintika Meditory Vol 8, No 2 (2025): November 2025
Publisher : STIKES Syedza Saintika Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30633/jsm.v8i2.3333

Abstract

Electronic Medical Records (EMR) require systems that meet compatibility and interoperability standards based on variable and metadata guidelines. Nur Hidayah Hospital has implemented EMR since 2022; however, it has not yet established a Standard Operating Procedure (SOP) related to this matter and has not fully referred to Minister of Health Decree (KMK) No. 1423 of 2022. This study aims to evaluate the conformity of EMR variables and metadata in the Emergency Department (ED).This is a qualitative descriptive study involving 4 informants and 1 triangulation subject. The object of the study is the ED's EMR, specifically the identity and triage forms. Data were collected through structured interviews and checklist-based observations. In the identity form, 81% of variables were compliant, 13% non-compliant, and 6% missing. In the triage form, 34% of variables were compliant, 3% non-compliant, and 63% missing. The factors contributing to non-conformity include lack of staff knowledge and the absence of SOPs. The EMR at Nur Hidayah Hospital is not yet fully aligned with KMK No. 1423 of 2022. Adjustments to variables and the addition of formats/values, especially in the identity and triage forms in the ED, are necessary.Keywords: Evaluation; Emergency Department; Electronic Medical Records; Variables and Metadata. 
Co-Authors Asri, Dinda Isnaini Azizah Azizah Bobi Frans Kuddi Caecilia Bintang Girik Allo F. B., Winda Ade FEBY SERU Intan Kurniawati Julia, Siti Langowuyo, Agustinus Markus, Suryo Nugroho Mingsep Rante Sampebua Modokh, Meidianti A. Nazal, Muhammad Asghar Radian Januari Situmeang Rahmadhan, Richardo Valentino Rahmani, Ngatoiatu Remuz MB Kmurawak Sari, Nur Nilam Savitri Citra Budi Sitti Rosnafi’an Sumardi Soplanit, Axsel Riando Sugeng Santoso Supiyanto, S Tiku Tandiangnga Winda Ade Fitriya B Yuliani, Rizka Dwi