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All Journal Mandala of Health : A Scientific Journal Medical and Health Journal Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics
Djatmiko, Wahyu
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Electrical & Electronics Engineering Health Professions Materials Science & Nanotechnology Medicine & Pharmacology Public Health

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ANALYSIS OF THE RELATIONSHIP BETWEEN APRI SCORE AND THE DEGREE OF ESOPHAGEAL VARICES IN LIVER CIRRHOSIS PATIENTS AT RSUD PROF. DR. MARGONO SOEKARJO Wijayana, Kamal; Putra, Fadhly Nino; Djatmiko, Wahyu; Siswandari, Wahyu; Magfiroh, Nisaul
Medical and Health Journal Vol 4 No 2 (2025): February
Publisher : Fakultas Kedokteran Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.mhj.2025.4.2.14997

Abstract

Esophageal varices are one of the most common complications in patients with liver cirrhosis and can lead to high-risk bleeding. This study aims to analyze the relationship between the APRI (Aspartate Aminotransferase-to-Platelet Ratio Index) score and the degree of esophageal varices in liver cirrhosis patients at RSUD Prof. Dr. Margono Soekarjo. This research used an observational analytic design with a cross-sectional approach, involving 89 patients who met the inclusion criteria. The analysis revealed a significant positive correlation between the APRI score and the degree of esophageal varices (p=0.039, r=0.220), indicating that the higher the degree of esophageal varices, the higher the APRI score. These findings suggest that the APRI score can be used as a non-invasive tool to detect the degree of esophageal varices in liver cirrhosis patients, with potential as a more practical and cost-effective diagnostic method
KORELASI USIA DAN JENIS KELAMIN DENGAN GRADING LIMFOMA NON HODGKIN SEL B DI RSUD PROF. DR. MARGONO SOEKARJO PURWOKERTO Pangestu, Thomas Adi; Sulistyo, Hidayat; Djatmiko, Wahyu; Novrial, Dody; Mardhihusodo, Hajid Rahmadianto
Mandala Of Health Vol 17 No 1 (2024): Mandala of Health
Publisher : Fakultas Kedokteran Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.mandala.2024.17.1.9564

Abstract

Latar Belakang: Limfoma non-Hodgkin (LNH) dibedakan menjadi dua kelompok utama, yaitu limfoma sel B dan limfoma sel T/NK. Tipe LNH paling banyak di dunia adalah LNH sel B. Salah satu cara mengelompokkan LNH sel B yaitu dengan menggunakan pemeriksaan histopatologi untuk membedakan grading menjadi low grade dan high grade. Tingkat kejadian LNH sel B meningkat bertahap berdasarkan usia dan lebih banyak terjadi pada laki-laki. Penelitian ini bertujuan untuk mengetahui apakah terdapat hubungan antara usia dan jenis kelamin dengan grading LNH sel B. Metode: Penelitian ini merupakan penelitian analitik observasional dengan pendekatan cross sectional yang dilakukan pada pasien limfoma non-Hodgkin sel B di RSUD Prof. Dr. Margono Soekarjo Purwokerto pada tahun 2019-2021. Analisis data menggunakan uji Chi-square. Hasil: Total sampel yang didapatkan adalah 75 pasien LNH sel B. Sebanyak 47 (62,7%) pasien berusia <60 tahun dan 28 (37,3%) pasien berusia ⩾60 tahun. Pasien laki-laki berjumlah 40 (53,3%) pasien, lebih banyak daripada perempuan yang berjumlah 35%. Hasil analisis menunjukkan bahwa tidak terdapat hubungan antara usia dengan grading (p=0,617), serta jenis kelamin dengan grading (p=0,366). Kesimpulan: Tidak terdapat hubungan antara usia dengan grading LNH sel B. Tidak terdapat hubungan antara jenis kelamin dengan grading LNH sel B.
Expert System for Early Detection of Thalassemia Disease Using Case-Based Reasoning Method Setiani, Rahma; Djatmiko, Wahyu; Kurniawan, Rozali Arsyad; Abdullayev, Vugar
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 7 No. 1 (2025): February
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/gt9h2k22

Abstract

Thalassemia is a blood disorder characterized by abnormalities in globin chain formation. In Banyumas Regency, the prevalence of thalassemia continues to increase yearly, while detection processes are often delayed due to limited access to experts. This study aims to develop a web-based expert system for the early detection of thalassemia using the Case-Based Reasoning (CBR) method with the K-Nearest Neighbor (KNN) algorithm. The system is designed to help identify individuals who may carry the thalassemia gene trait, enabling faster and more accurate treatment. The system was tested using the black box method to ensure all features function properly across all user roles, including general users, administrators, and experts. Accuracy evaluation was conducted using a confusion matrix, achieving an accuracy rate of 95,23% based on 21 test data samples. The results indicate that this system provides highly accurate early detection and supports preventive efforts against thalassemia. Further development is recommended to create an Android-based application to enhance accessibility for the broader community. Additionally, continuous updates to the knowledge base are necessary to improve the system's accuracy and scope. This study is expected to contribute to the prevention and management of thalassemia, increase public awareness, and support better healthcare services in Indonesia
Co-Authors Abdullayev, Vugar Dody Novrial, Dody Hidayat Sulistyo Kurniawan, Rozali Arsyad Magfiroh, Nisaul Mardhihusodo, Hajid Rahmadianto Pangestu, Thomas Adi Putra, Fadhly Nino Setiani, Rahma Wahyu Siswandari Wijayana, Kamal