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All Journal Java Nursing Journal J-KOMA : Jurnal Ilmu Komputer dan Aplikasi
Nurul, Nurul Hidayati
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Computer Science & IT Health Professions Medicine & Pharmacology Nursing

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Description of The Level of Knowledge of Basic Life Support (BlS) With Readiness To Perform Bhd Actions on Anesthesiologists Nurul, Nurul Hidayati; Burhan, Asmat; Nova Handayani, Rahmaya
Java Nursing Journal Vol. 3 No. 1 (2025): November - February 2025
Publisher : Global Indonesia Health Care (GOICARE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61716/jnj.v3i1.87

Abstract

Background: Cardiac arrest is one of the significant risks among those associated with surgery, interventional procedures, or anesthesia. Basic life support (BLS) is the immediate action taken in critical or emergency situations to save lives. The health care personnel must possess adequate knowledge and ability to handle such emergencies effectively. Anesthesiologists must necessarily be BLS proficient to give an early intervention during emergencies just like any other medical professional. Purpose: This study will evaluate the knowledge and preparedness of BLS among the anesthesiologists of the Central Surgical Installation in Banyumas Regency. Methods: The study used a cross-sectional design. Data were collected using surveys dispatched online to the 47 participants through Google Forms from June 19 to 28, 2024, in Banyumas Regency. Results: The results showed that 32 participants (72.3%) possessed excellent knowledge of BLS; however, 24 of 47 responders (51.1%) felt that they were adequately prepared for BLS action when needed. Conclusion: The study disclosed a positive correlation between BLS knowledge and preparedness to perform BLS among anesthesiologists in the Banyumas Regency, thus stressing continuing education and training to promote preparedness in case of emergencies
Forest Fire Clustering in Indonesia Using the Clustering Large Applications (CLARA) Method Arib, Muhammad Arib Alwansyah; Ridya, Ridya Destriani; Sigit, Sigit Nugroho; Nurul, Nurul Hidayati
J-KOMA : Jurnal Ilmu Komputer dan Aplikasi Vol 8 No 02 (2025): J-KOMA : Jurnal Ilmu Komputer dan Aplikasi
Publisher : Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JKOMA.082.03

Abstract

Clustering is a process of grouping, observing or grouping classes that have similar objects. One clustering method that handles large amounts of data is clustering large applications (CLARA). This research aims to identify groups of forest fires in Indonesia using the CLARA method and to determine the characteristics of forest fires and the locations of forest fire occurrence points in Indonesia. The data used is hot spot data totaling 3,265 events, which can be obtained from the NASA LANCE–FIRM MODIS Active Fire website. The variables used to group forest fire events are latitude, longitude, brightness, frp and confidence. So by grouping 3,265 hot spot data by determining the optimum cluster using the Shilhoutte index and Dunn index values, the optimum cluster results were obtained, namely 2 clusters
Co-Authors Alwansyah, Muhammad Arib Burhan, Asmat Nova Handayani, Rahmaya Ridya, Ridya Destriani Sigit, Sigit Nugroho