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All Journal Jurnal Mahasiswa Ilmu Kesehatan Jurnal Sains Student Research
Fahrul Roji
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Health Professions Nursing Public Health Other

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Gambaran Motivasi Kepatuhan Radiografer Terhadap Penggunaan Alat Monitoring Dosis Radiasi Personal Thermoluminicence Dosimeter Di Instalasi Radiologi Rumah Sakit Pertamedika Ummi Rosnati Banda Aceh Finzia, Pocut Zairiana; Fahrul Roji
Jurnal Mahasiswa Ilmu Kesehatan Vol. 2 No. 2 (2024): April: Jurnal Mahasiswa Ilmu Kesehatan
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/jumkes.v2i2.1836

Abstract

This study aims to determine the motivation for radiographers' compliance with the personal radiation dose monitoring tool Thermoluminescence Dosimeter at the Radiology Installation of Pertamedika Ummi Rosnati Hospital Banda Aceh. This research is a descriptive study with an observational or non-experimental design with a cross-sectional design and a survey approach with 4 radiographers as respondents to determine the level of motivation for radiographers' compliance and the factors that influence the motivation of radiographers' compliance with the personal thermoluminescence dosimeter radiation dose monitoring tool. Data analysis was carried out univariately. The results of this study indicate that there is motivation for radiographers' compliance with the use of personal thermoluminescence dosimeter radiation dose monitoring tools, namely 75%. and the rest were not motivated by compliance with the use of a personal thermoluminescence dosimeter radiation dose monitoring device, namely 25%, with the characteristics of the respondents being mostly female, 50%. and the remaining 50% are male, and the majority of respondents with an average age of 25-35 is 75%. and the remaining 25% with respondents aged 35-45
EVALUASI PROGRAM PEMBINAAN TIM BOLA VOLI OLEH KOMITE OLAHRAGA NASIONAL INDONESIA KABUPATEN CIAMIS Fahrul Roji; Aan Anwar Sihabudin; Ii Sujai
JOURNAL SAINS STUDENT RESEARCH Vol. 3 No. 4 (2025): Jurnal Sains Student Research (JSSR) Agustus
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jssr.v3i4.5910

Abstract

The Indonesian National Sports Committee (KONI) is an authorized institution responsible for the development and advancement of sports achievements in Indonesia. At the regional level, KONI collaborates with the local government in providing facilities, organizing activities, and budgeting funds. One implementation of this role is the development of volleyball teams in Ciamis Regency. Volleyball is a highly popular sport that offers physical, social, and economic benefits to the community. However, the performance of the Ciamis volleyball team in the PORPROV (Provincial Sports Week) event has shown inconsistent results, particularly in the women’s division. This study aims to evaluate the volleyball team development program conducted by KONI Ciamis using a descriptive qualitative approach and the CIPP evaluation model (Context, Input, Process, Product). Data were collected through interviews, observations, and documentation, involving eight informants: the Chair of KONI, Chair of PBVSI, two club owners, two coaches, and two volleyball athletes. Data analysis techniques include: data collection, data reduction, data display, and conclusion drawing with verification. The results show that in the context dimension, the program was formulated collaboratively with clear goals. However, the input dimension still faces challenges in the quality of coaches and limited facilities and infrastructure. The process dimension faces technical challenges such as budget delays. In the product dimension, there are long-term positive impacts, yet the achievements in the women’s division remain suboptimal. Overall, the development program is running fairly well but requires improvements in human resources, facilities, and planning for more equitable and sustainable success.
Co-Authors Aan Anwar Sihabudin Finzia, Pocut Zairiana Ii Sujai