Widianawati, Evina
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Tarif Rumah Sakit dengan Tarif INA-CBGs Pasien Rawat Inap Agiwahyuanto, Faik; Widianawati, Evina; Wulan, Widya Ratna; Putri, Rizqi Basuki
HIGEIA (Journal of Public Health Research and Development) Vol 4 No 4 (2020): HIGEIA: October 2020
Publisher : Jurusan Ilmu Kesehatan Masyarakat, Fakultas Ilmu Keolahragaan, Universitas Negeri Semarang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/higeia.v4i4.37117

Abstract

Endemic diseases which have quite a high prevalence are cases of DHF. In Indonesia alone DHF numbered 68,407 cases in 2017. The average DHF patient in the RSUD K.R.Tong Wongsonegoro Semarang City was 5.45%. The aim of the study was to analyze differences in hospital rates with INA-CBGs rates in inpatients of DHF cases in the RSUD K.R.T. Wongsonegoro Semarang City in 2018. The type of this research is descriptive analysis, researcher describes difference in hospital tariffs with the rates of INA-CBGs in the RSUD K.R.T. Wongsonegoro, Semarang City. The method used is observation on the index of DHF cases. The subjects in this study were 73 respondents and data analyze using univariate. The results showed that the length of stay and severity level can affect the variation of hospital rates, but the INA-CBGs rate results will remain the same according to the treatment class and severity level even though hospital rates vary. With the difference in higher hospital rates, the management section coordinates the hospital tariff setting and the hospital organization section proposes to increase the INA-CBGs rate to BPJS.
Optimasi penggunaan software statistik dalam mengolah data kesehatan pada petugas kesehatan puskesmas Widianawati, Evina; Wulan, Widya Ratna; Pantiawati, Ika; Kusuma, Edi Jaya
Community Empowerment Forthcoming issue
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ce.5231

Abstract

Petugas puskesmas Sokaraja 1 belum mengetahui fungsi menu dan rumus Excel yang lebih mahir serta belum mengetahui cara penggunaan SPSS, QGIS dan Rapidminer dalam mengolah data kesehatan. Tujuan dari kegiatan ini adalah untuk memperkuat penggunaan software statistik pada petugas kesehatan untuk meningkatkan kualitas manajemen informasi kesehatan. Metodologi pelaksanaan kegiatan yaitu tindakan atau action research yang dilakukan pada petugas kesehatan Puskesmas Sokaraja 1. Pelatihan dilaksanakan melalui google meeting menggunakan media e-modul software statistik Ms Excel, SPSS, QGIS, dan Rapidminer selama enam pertemuan. Hasil pelatihan menunjukkan pengetahuan dan ketrampilan terjadi peningkatan sebesar 104% dan 100%. Dari hasil wawancara diketahui bahwa pelatihan software statistik sangat bermanfaat dalam mempermudah pekerjaan petugas kesehatan. Berdasarkan peningkatan skor pengetahuan dan ketrampilan serta hasil wawancara maka dapat disimpulkan bahwa pelatihan software statistik sangat bermanfaat bagi pengetahuan dan ketrampilan petugas kesehatan.
Tarif Rumah Sakit dengan Tarif INA-CBGs Pasien Rawat Inap Agiwahyuanto, Faik; Widianawati, Evina; Wulan, Widya Ratna; Putri, Rizqi Basuki
HIGEIA (Journal of Public Health Research and Development) Vol 4 No 4 (2020): HIGEIA: October 2020
Publisher : Jurusan Ilmu Kesehatan Masyarakat, Fakultas Ilmu Keolahragaan, Universitas Negeri Semarang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/higeia.v4i4.37117

Abstract

Endemic diseases which have quite a high prevalence are cases of DHF. In Indonesia alone DHF numbered 68,407 cases in 2017. The average DHF patient in the RSUD K.R.Tong Wongsonegoro Semarang City was 5.45%. The aim of the study was to analyze differences in hospital rates with INA-CBGs rates in inpatients of DHF cases in the RSUD K.R.T. Wongsonegoro Semarang City in 2018. The type of this research is descriptive analysis, researcher describes difference in hospital tariffs with the rates of INA-CBGs in the RSUD K.R.T. Wongsonegoro, Semarang City. The method used is observation on the index of DHF cases. The subjects in this study were 73 respondents and data analyze using univariate. The results showed that the length of stay and severity level can affect the variation of hospital rates, but the INA-CBGs rate results will remain the same according to the treatment class and severity level even though hospital rates vary. With the difference in higher hospital rates, the management section coordinates the hospital tariff setting and the hospital organization section proposes to increase the INA-CBGs rate to BPJS.