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Analysis Of Spatial Pattern Of Distribution Of Post-Vaccination Covid-19 Cases in Bombana District wulandari, pradea
Jurnal Sistem Informasi Kesehatan Masyarakat Vol 8, No 3 (2023)
Publisher : Divisi SIMKES, HPM, Fakultas Kedokteran, Kesehatan Masyarakat, UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jisph.76339

Abstract

Background: At the end of 2019 a pandemic emerged, namely the 2019 coronavirus disease (COVID-19). Technology in mapping Covid-19 cases is very important. Currently, there are many and there are already mappings for Covid-19 cases carried out by the government, for example, the mapping carried out by the COVID-19 website.go.id. Bombana Regency is divided into two parts or two islands which have quite difficult access to health facilities. Roads that are difficult to access will be an obstacle for the surrounding community when they want to go to health facilities and want to vaccinate. This study aims to see the pattern of distribution of post-vaccination COVID-19 cases in Bombana RegencyMethods: This research was conducted in Bombana Regency, Southeast Sulawesi. This study uses secondary data for COVID-19 in 2020 and 2021 and vaccination data for 2021 in Bombana district. This type of quantitative descriptive research uses autocorrelation spatial analysis method (Moran's I).Results: The results of the Moran's I autocorrelation analysis obtained a Morans index value of 0.228974 while the p-value was 0.007430 and the z-score was 2.676938, which means that the spatial pattern of COVID-19 cases based on population density is clustered. Moran's I autocorrelation analysis results obtained a Morans index value of 0.285945, while the p-value was 0.006556 and the z-score was 2.718601, which means that the spatial pattern of COVID-19 cases in 2020 is clustered. The results of the Moran's I autocorrelation analysis showed that the Morans index value was 0.104219 while the p-value was 0.169993 and the z-score was 1.372227, which means that the spatial pattern of COVID-19 cases after vaccination in 2021 is random or spread.Conclusion: The pattern of distribution of COVID-19 cases based on population density using Morans'I autocorrelation spatial analysis forms a clustered pattern. The distribution pattern of COVID-19 cases in 2020 using Morans'I autocorrelation spatial analysis forms a clustered pattern. The distribution pattern of COVID-19 cases in 2021 using Morans'I autocorrelation spatial analysis forms a spreading pattern. Dissemination is done by suggesting a dashboard display for the Bombana district government website
ANALISIS PENGGUNAAN REKAM MEDIS ELEKTRONIK DENGAN KEPUASAAN TENAGA KESEHATAN DI PUSKEMAS KARANG JOANG KOTA BALIKPAPAN Rachmadani, Andry; Yulianti, Nila Trisna; Sasanti, Dewi Ari; Sari, Heni Elmiani; Wulandari, Pradea
Jurnal Kajian Ilmiah Kesehatan dan Teknologi Vol 7 No 1 (2025)
Publisher : Politeknik Unggulan Kalimantan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52674/jkikt.v7i1.238

Abstract

Penggunaan rekam medis elektronik (RME) merupakan salah satu upaya digitalisasi pelayanan kesehatan yang bertujuan untuk meningkatkan efisiensi dan kualitas layanan. Penelitian ini bertujuan untuk menganalisis hubungan antara penggunaan RME dengan tingkat kepuasan tenaga kesehatan di Puskesmas Karang Joang, Kota Balikpapan. Penelitian ini menggunakan pendekatan kuantitatif dengan desain cross-sectional. Data dikumpulkan melalui kuesioner yang disebarkan kepada tenaga kesehatan yang menggunakan sistem RME dalam pelaksanaan tugas sehari-hari. Aspek yang dianalisis meliputi kemudahan penggunaan, keandalan sistem, kecepatan akses data, serta dukungan teknis. Hasil penelitian menunjukkan bahwa mayoritas responden merasa penggunaan RME cukup membantu dalam efisiensi kerja. Analisis statistik menunjukkan (p < 0,05) yang artinya ada hubungan. Berdasarkan temuan ini, dapat disimpulkan bahwa meskipun RME memberikan manfaat dalam pengelolaan data pasien, peningkatan kualitas sistem dan pelatihan pengguna masih diperlukan untuk mengoptimalkan kepuasan pengguna. Rekomendasi penelitian ini adalah penguatan infrastruktur digital dan pelatihan berkelanjutan bagi tenaga kesehatan untuk meningkatkan pemanfaatan RME secara maksimal.
Recording of Students' Health Identification and Personal Health Record Wulandari, Pradea; Aryanti, Riski
Indonesian Journal of Global Health Research Vol 7 No 1 (2025): Indonesian Journal of Global Health Research
Publisher : GLOBAL HEALTH SCIENCE GROUP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37287/ijghr.v7i1.5498

Abstract

Children's health at school is a crucial aspect in supporting the learning process and student development. At SDN 002 Penajam, attention to students' health is a top priority in creating a healthy and productive learning environment. However, managing students' health often faces challenges, such as the lack of a structured and consistent record-keeping system. Objective: The study aimed to determine how the personal medical record keeping of students is conducted at SDN 002 Penajam.Method: Data collection in this study is conducted using documentation methods, followed by data processing and analysis.Results: From the results of the interviews, it was found that SDN 002 Penajam has a student checkbook that records students' height and weight measurements during school health checks, but does not have a record book for students' medical history.Conclusions: The study on personal medical recordkeeping of students at SDN 002 Penajam reveals that the systematization of student health data is crucial in supporting administrative and documentation aspects in schools. Organized medical records enable teachers and school health unit (SHU) managers to easily store and access students' health information.
Description of the Level of Public Knowledge Regarding the Use of the JKN Mobile Aplication Aryanti, Riski; Wulandari, Pradea
Indonesian Journal of Global Health Research Vol 7 No 1 (2025): Indonesian Journal of Global Health Research
Publisher : GLOBAL HEALTH SCIENCE GROUP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37287/ijghr.v7i1.5556

Abstract

The National Health Insurance (JKN) is a government program that provides financial protection for the people of Indonesia to meet their basic healthcare needs. To improve services for the public, BPJS has introduced the Mobile JKN application. This application facilitates participants in obtaining information and administrative services related to the National Health Insurance program by utilizing information technology through a smartphone app that can be downloaded from the Play Store and App Store. Observations conducted by the researcher in RT 16 showed that out of 12 participants are still not fully familiar with the use of the Mobile JKN application. Based on preliminary studies conducted by the researcher on 10 JKN participants in RT 16, it was found that 6 participants (60%) were unaware of how to use the Mobile JKN application. Meanwhile, 4 participants (40%) knew how to use the Mobile JKN application but preferred to visit Primary Health Facilities (FKTP) instead, citing difficulties in understanding and registering for the Mobile JKN application initially. Currently, everything related to healthcare services, especially JKN, must be accessed through gadgets, starting from registration and beyond. This research is important because some JKN participants have been found to not fully understand the use and benefits of the Mobile JKN application. If the public lacks understanding of this application, it may hinder healthcare services, which now require the use of the Mobile JKN application. the aim of this research is to determine the level of knowledge of the rt 16 kelurahan klandasan ulu, about the use of the jkn mobile application. The research method used in this study is quantitative descriptive research with a cross-sectional approach. This research method is employed to provide an overview of the public’s level of knowledge regarding the use of the Mobile JKN application. Data collection in this study was conducted using questionnaires and analyzed using bivariate analysis. Based on the results of the research and discussion with 47 JKN participants regarding the level of knowledge in RT 16 on the use of the Mobile JKN application is at a good level. The results show that out of 47 respondents, 53% had good knowledge about using the Mobile JKN application, while 47% had poor knowledge.