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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

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

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

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.

Analisis Efisiensi Bangsal ICU/ICCU Dua Rumah Sakit Jawa Tengah Berdasarkan Standar Depkes Dan Barber Johnson WIDIANAWATI, EVINA; AMALIA, NOVITA; PRATIWI, NILA
Hang Tuah Medical Journal Vol 21 No 1 (2023): Hang Tuah Medical Journal
Publisher : Universitas Hang Tuah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30649/htmj.v21i1.442

Efisiensi penggunaan tempat tidur merupakan parameter penting yang perlu diperhatikan untuk menilai capaian peningkatan pelayanan rumah sakit. Perhitungan indicator BOR LOS TOI BTO di RS Telogorejo dan RSUD M Ashari masih global untuk seluruh pelayanan rawat inap sedangkan indikaotr pelayanan dan efisiensi bangsal ICU belum dianalsis. Tujuan penelitian ini adalah melakukan analisa efisiensi bangsal ICU di RSUD dr. M. Ashari dan RS M Ashari pada tahun 2019-2021. Jenis penelitian ini menggunakan deskriptif kuantitatif, dengan metode observasi. Populasi dalam penelitian ini yaitu data ICU RL 3.1 tahun 2019-2021 dengan teknik total sampling dalam pengambilan sampel. Hasil perhitungan indikator pelayanan ICU, rerata pasien yang dirawat pada bangsal ICU kurang lebih 1-2 pasien dalam sehari, dengan angka kematian pada kisaran 33%-82% dari total pasien yang dirawat pada bangsal ICU. Hasil perhitungan Analisa efisiensi bangsal ICU menurut standar Depkes RI di RSUD M Ashari pada tahun 2019-2021 nilai BOR, LOS, TOI dan BTO hampir semua belum ideal. Disisi lain di RS Telogorejo hanya LOS yang ideal sedangkan BOR LOS TOI tidak ideal. Pembuatan GBJ bangsal ICU tahun 2019-2021 di di RSUD M Ashari dan RS Telogorejo menunjukkan bahwa pengelolaan bangsal ICU belum efisien karena letak titik perpotongan BOR, LOS, TOI, dan BTO di luar daerah efisien. Diperlukan upaya dalam memaksimalkan penggunaan tempat tidur di bangsal ICU agar mencapai efisiensi bangsal ICU.

Usia, Pendidikan, dan Penggunaan Aplikasi Kesehatan Berhubungan dengan Penerimaan Penggunaan Aplikasi Deteksi Penyakit Kronis Widianawati, Evina; Kusumawati, Nugraheni; Wulan, Widya Ratna; Pantiawati, Ika
Health Information : Jurnal Penelitian Vol 15 No 3 (2023): September-Desember
Publisher : Poltekkes Kemenkes Kendari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36990/hijp.v15i3.1181

The results of the examination of patients who take part in the Prolanis program are only recorded at health care facilities, while the patients themselves do not know the results of the examination. To bridge this, chronic disease detection applications are designed. There are several factors that can affect a user's willingness to use the application, one of which is the user's characteristics. This study aims to examine the relationship between respondent characteristics and acceptance of chronic disease detection applications. The type of research used is quantitative research with the location of the study, namely in health service facilities in Semarang Regency, namely Lerep Health Center, Ungaran Health Center and Niki Helti Clinic. Data were obtained through questionnaires with a linkert scale filled out by patients in health care facilities as system users as many as 131 respondents. The study will be conducted in June-August 2023. Data analysis techniques using Chi square test and Spearman Rank test. The results showed that there was a relationship between age (p value 0.001), education (p value 0.000), length of use of mobile phones (p value 0.001) and use of health applications (p value 0.012) on the acceptance of chronic disease detection applications. Gender (p value 0.051), occupation (p value 0.626) and length of work (p value 0.293) were not associated with acceptance of chronic disease detection applications. In further research, it is recommended to conduct a mix method study, apply a qualitative approach, and add variables such as digital literacy.

Optimalisasi Deteksi Dini Pre Eklampsia Ibu Hamil Berbasis Telehealth oleh Kader Forum Kesehatan Kelurahan Tambakrejo Wulan, Widya Ratna; Widianawati, Evina; Pantiawati, Ika
Jurnal Abdidas Vol. 5 No. 5 (2024): October 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/abdidas.v5i5.971

Masih kurangnya literasi masyarakat khususnya kelompok ibu hamil tentang tingginya angka kematian Ibu dan Anak akibat Pre Eklampsia dinilai perlu untuk dilakukan upaya peningkatan pengetahuan perihal gejala penyakit tersebut. Peningkatan pengetahuan tidak hanya dari segi bahaya namun juga upaya yang bisa dilakukan secara preventif dan promotive yang telah difasilitasi di kegiatan Forum Kesehatan Kelurahan Tambakrejo. Diperlukan media komunikasi dan informasi kesehatan dalam kegiatan upaya deteksi dini Pre Eklampsia Pada Ibu Hamil berbasis Telehealth. Alur kegiatan Pengabdian Kepada Masyarakat ini dilakukan dimulai dari persiapan, proses kegiatan, monitoring serta evaluasi. Kegiatan Pengabdian Masyarakat dilaksanakan dengan proses pelatihan dimuali dari perkenalan, pre-test, materi, ice breaking, diskusi, post-test dan evaluasi. Kegiatan Pengabdian Masyarakat dihadiri oleh 6 ibu hamil dan 12 kader Forum Kesehatan Kelurahan Tambakrejo. Kader FKK dan ibu hamil mengalami kenaikan pengetahuan sebelum dan setelah pelatihan. Peserta dapat memahami terkait bahaya preeklampsia dan mempraktikkan penggunaan aplikasi sederhana sebagai media pencatatan hasil screening yang dapat dimonitor masing-masig oleh ibu hamil maupu kader FKK melalui pesan Whatsapp setelah pengisian datanya.

Analysis Of The Readiness Of Medical Record Officers In The Outpatient Unit To The Use Of RME By TRI Methods At RSUD Dr. M. Ashari Pemalang Navisa Putri, Mayliana; Setiono, Oki; Astuti S., Retno; Widianawati, Evina
International Journal of Health Literacy and Science Vol. 2 No. 2 (2024): International Journal of Health Literacy and Science
Publisher : Health Science UDINUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60074/ihelis.v2i2.62

The readiness of medical record officers in the Electronic Medical Records (EMR) should follow Permenkes Number 24 of 2022 Article 45. RSUD Dr. M. Ashari Pemalang has just implemented EMR, so it was necessary to measure the readiness of medical record officers in the outpatient department using the TRI (Technology Readiness Index) method. This research method is descriptive quantitative. The data collection technique used was a questionnaire. The sampling technique in this study used a total sampling technique; the research subjects were all medical record officers in the Outpatient Department of RSUD, Dr. M. Ashari Pemalang (26 officers). The results showed that the average readiness score of medical record officers in the outpatient department of RSUD Dr. M. Ashari Pemalang, based on the dimensions of optimism, innovation, insecurity, and discomfort, was 31.42, 27.81, 23.81, and 22.54, respectively. According to the four dimensions of TRI, the readiness level to use EMR among most medical record officers of the outpatient department was classified as Ready (73% of officers). However, training and mentoring for the relevant officers is still necessary to optimize the use of the new technology.

Analysis of Secondary Diagnosis of COVID-19 in Children Aged 0-18: A Case Study of an Inpatient at Hospital X in Central Java Province B Betti, Florensia; Amalia, Afia; Asya Salwa Munna, Niantiara; Widianawati, Evina
International Journal of Health Literacy and Science Vol. 1 No. 1 (2023): International Journal of Health Literacy and Science
Publisher : Health Science UDINUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60074/ihelis.v1i1.10

Children ages 0 - 18 are more susceptible to infected COVID-19. The prognosis of pediatric patients can be significantly worse by the presence of a secondary diagnosis. This study's aim was to categorize pediatric patients according to their age, sex, length of stay (LOS), subsequent diagnoses, and treatments. Samples were taken from the medical records of 19 pediatric patients, ages 0-18, who were hospitalized at X Hospital. The data are descriptively analyzed in this study using secondary data taken from the medical records of pediatric patients from April 2020 to February 2021. According to the study's findings, 79% of the pediatric COVID-19 patients were under the age of five, 58% of them were men, and their average length of stay was 9.53 days. The most common secondary diagnoses were Febrile convulsions (9%) and Hypo-osmolality and hyponatraemia (9%). Microscopic inspection of specimen from the ear, nose, throat, and larynx (35%), Other chest x-ray (27%), and Microscopic examination of blood (8%) were the treatment and procedures that were performed the most frequently. Children who are COVID-19 patients between the ages of 0 - 18 have a high number of secondary diagnoses and medical procedures during therapy, necessitating more intensive monitoring.

A Random Forest and SMOTE-Based Machine Learning Model for Predicting Recurrence in Papillary Thyroid Carcinoma Kusuma, Edi Jaya; Nurmandhani, Ririn; Pantiawati, Ika; Manglapy, Yusthin Meriantti; Widianawati, Evina
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 4 (2025): JUTIF Volume 6, Number 4, Agustus 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.4.4854

PTC (Papillary Thyroid Carcinoma) is one subtype of thyroid cancer occurred most frequently in thyroid cancer cases. Although the prognosis of this cancer is typically positive, its recurrence remains a key challenge requiring early detection. This study proposes machine learning models to predict PTC recurrence, explicitly addressing the inherent class imbalance in the recurrence data. This study implemented three supervised learning algorithms, namely Random Forest (RF), Extreme Gradient Boost (XGB), and Support Vector Machine (SVM) with the Synthetic Minority Oversampling Technique (SMOTE) to balance the dataset. SMOTE was chosen for its capacity to generate synthetic minority class samples while minimizing information loss, thus effectively addressing class imbalance and improving classification outcomes. Model performance was assessed using accuracy, precision, recall (sensitivity), and F1-score. Among all approaches tested, RF with SMOTE demonstrated superior performance, achieving 0.98 accuracy, perfect precision (1.0), high recall (sensitivity) (0.95), and a strong F1-score (0.97), outperforming previous methods including SMOTEENN-based approaches. The result of this study demonstrates SMOTE specifically outperforms SMOTEENN in this clinical context, likely due to better preservation of subtle prognostic indicators with minimal information loss. This improvement suggests SMOTE's effectiveness in preserving valuable decision boundary information while addressing class imbalance in PTC recurrence prediction. These findings establish RF with SMOTE as a robust and well-balanced approach for predicting PTC recurrence, contributing significantly to the development of more precise and responsive AI-driven decision support tools for thyroid cancer.

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