During the first year of the COVID-19 pandemic in Jakarta, Indonesia, the government designated some hospitals as specific COVID-19 healthcare centers to meet demand and ensure accessibility. However, the policy demand evaluation was based on a purely spatial approach. Studies on accessibility to healthcare are widely available, but those that consider temporal as well as spatial dynamics are lacking. This study aims to analyze the spatiotemporal dynamics of healthcare accessibility against COVID-19 cases within the first year of the COVID-19 pandemic, and the overall pattern of spatiotemporal accessibility. A two-step floating catchment area (2SFCA) was used to analyze the accessibility of COVID-19 healthcare against the monthly data of the COVID-19 infected population, as the demand. Such a spatiotemporal approach to 2SFCA has never been used in previous studies. Furthermore, rather than the traditional buffer commonly used to define catchments, the 2SFCA in this study was improved with automated delineation based on the road network using ArcGIS Service Areas Analysis tools. The accessibility tends to follow the distance decay principle, which is relatively high in the city’s center and low in the outskirts. This contrasts with the city’s population distribution, which is higher on the outskirts and lower in the center. This research is a step toward optimizing the spatial distribution of hospital locations to correspond with the severity of the pandemic condition. One method to stop the transmission of disease during a pandemic that requires localizing the infected patient is to designate specific healthcare facilities to manage the sick individuals. ‘What-if’ scenarios may be used to experiment with the locations of these healthcare facilities, which are then assessed using the methodology described in this work to obtain the distribution that is most optimal.

Klinik muhammadiyah medical center membutuhkan sistim pencatatan dan pelaporan yang tepat dan aku rat. Saat ini, pencatatan dan pemrosesan data berjalan kurang optimal, karena dijalankan dengan sistem manual dengan menggunakan sreadsheet. jadi ketika petugas akan membuat laporan mereka me ngalami kesulitan dalam mencari dan menyusun data yang dibutuhkan. Tujuan dari penelitian ini adalah untuk mengembangkan draf dari sistim pencatatan dan pelaporan data registrasi. Jenis penelitian ini adalah pengembangan penelitian dengan menggunakan pendekatan kualitatif . Dalam penelitian ini, pengumpulan dan pengambilan data menggunakan teknik purposive sampling . Dari hasil identifikasi pengguna , peneliti mulai merancang diagram alir data ( DFD ) , diagram hubungan entitas ( ERD ), database dan desain antarmuka sistem , serta yang dicetak dari laporan yang dihasilkan . Dengan desain sistem ini , diharapkan menjadi masukan yang berguna bagi lembaga . Tapi desain sistem ini masih ba nyak kekurangan, seperti subsistem tidak lain dan integrasi antara desain yang ada terbatas pada bagian pendaftaran saja .

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Background: Quality if life is based on both objective and subjective parameters. The subjective parameters include wellbeing, happiness, and personal acceptance, while objective parameters are related to the satisfaction of basic needs, such as availability and access to health care facilities. The purpose of this study was to investigate correlations between health care facilities availability and acceptance on quality of life in patients with type 2 diabetes mellitus. Subjects and Method: A cross sectional study was carried out at General Hospital of Surakarta, Central Java from October to November 2019. A sample of 131 type 2 diabetes mellitus patients aged ≤65 years was selected by purposive sampling. The dependent variable was quality of life. The independent variables were health facilities and patient acceptance. Quality of life was measured by Quality of Life Instrument for Indian Diabetes patients (QOLID). Other variables were masured by questionnaire. The data were analyzed by Chi square. Results: Good health facilities (OR= 3.28; 95% CI= 1.41 to 7.60; p= 0.004) and patient acceptance (OR= 4.02; 95% CI= 1.57 to 10.30; p= 0.002) improved quality of life of type 2 diabetes mellitus patients. Conclusion: Good health facilities and patient acceptance improve quality of life of type 2 diabetes mellitus patients.

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