One of the poor indicators of the development and health status of a country is high maternal mortality. The world has seen that one pregnant woman in every two minutes dies because of complication with serious or long-lasting consequences. During pregnancy, pregnant women tend to reduce physical activity due to increased sensitivity factors. It will lead to decrease the elasticity of muscles and joints. The way to improve the elasticity is doing exercise during pregnancy. But, there are still many pregnant women who are less interested in doing exercise during pregnancy, due to high loaded in working day and dense schedule of daily activities in her career or as a housewife. Some women assume that by attending pregnancy exercise course in hospitals or health care centers is time-consuming and too formal because they have to follow the prenatal personal trainer schedule. The technology that allows helping pregnant women in exercise during pregnancy is virtual reality. In this study, the development of virtual reality application for exercise during pregnancy adapted from the methodology to determine when to use virtual reality in education and training combined with the Immersive Virtual Environment (IVE) questionnaire. The average results of overall components in the IVE questionnaire is 4.26 of 5-point scales that indicates the virtual reality application for exercise during pregnancy is feasible to use by pregnant woman.

Background: Improvements in hospitals are needed to become a going concern hospital. One strategy that can be applied is Total Quality Management (TQM). TQM seeks continuous improvement of all hospital functions. The National Health Insurance Program (JKN) has been run by the Regional Hospital General Hospital (RSUD) Dr. H. Soewondo Kendal as of January 1st, 2014. Health financing is the most important part of implementing JKN held in hospitals by BPJS Kesehatan through submission of claims. During the implementation of JKN in Kendal General Hospital, problems were found between the difference between the visits of BPJS Health patients to hospitalizations and the Health BPJS visits claimed, thus causing pending cases of late claims. File claims that are late in submission will be included in the claim process the following month.Objective: Analyze the pending causes of the Health BPJS file based on TQM implementation.Method: This type of research uses qualitative phenomenological methods and case study research designs. The research subjects were 7 officers who were directly involved in the claim process. The research instrument is the patient claim file by paying BPJS Kesehatan. Data analysis using the Importance Performance Analysis (IPA) technique.Summary: Pending causes of claims from casemix manpower factors with educational background not medical records and lack of coding staff. The factor of the casemix section method is no Standard Operating Procedure (SOP) for claiming BPJS Health. Material factors still have claims files that cannot be submitted due to inappropriate SEP numbers or often purif. Casemix machine factors (INA CBGs) already use computers and printers. The money factor for hospital income was delayed due to pending claims and claims that failed to purify.Conclusion: The process of implementing the BPJS Health claim in Dr. Hospital H. Soewondo Kendal is in accordance with the theory but there are still file claims that are pending.Suggestion: Organize education to officers intensively and standardize the time of collecting investigations and operating reports to medical records so that the files will be claimed as soon as possible and sent to BPJS.

Background: Minimum Service Standards (SPM) in outpatient services at the Ngaliyan Community Health Center reads the standard time to serve old patients ie 5 minutes while patients are only 7 minutes. Based on the initial survey of 10 outpatients in the Ngaliyan Health Center divided into 5 old patients and 5 new patients, it was found that on average the officers served the old patients ie 18 minutes 17 seconds and the new patients were 18 minutes 32 seconds.  Objective: This study aims to analyze the service quality minimum (SPM) of TPPRJ inpatient registration at the Ngaliyan Health Center Semarang City. Methods: This study used an observational analytic research design with cross-sectional approach at Ngaliyan Public Health Center Semarang City. The sampling technique used purposive sampling with total sample are 20 respondents. Analysis data using univariate with percentage. Result: The results showed that in 1st stage average time service old patients is 6 minutes 13 seconds and new patients is 12 minutes 6 seconds. In 2nd stage average time service old patients is 11 minutes 3 seconds and new patients is 12 minutes 6 seconds. Conclusion: SPM service quality of inpatients registration influenced by inpatient waiting time.

Dari hasil Riset Kesehatan Dasar tahun 2013, penyakit jantung adalah penyakit tidak menular tertinggi di Indonesia. Jumlah pasien BPJS Kesehatan dengan kasus serangan jantung di Rumah Sakit Umum Daerah K.R.M.T Wongsonegoro Semarang, pada Januari-Juni 2018 adalah 53 pasien. Penelitian ini bertujuan untuk mengetahui perbedaan dalam tingkat INA-CBGs pada pasien dengan kasus Acute Myocard Infarct (AMI) di K.R.M.T. Rumah Sakit Umum Daerah Wongsonegoro Semarang pada semester 1 tahun 2018 (Januari-Juni). Penelitian deskriptif ini dilakukan dengan metode observasi. Objek penelitian adalah laporan indeks penyakit infark miokard akut dan hasil pengelompokan INA-CBGs. Analisis data menggunakan teknik univariat atau persentase. Hasilnya adalah jenis kelas perawatan tertinggi adalah kelas 3 (58,49), kelas 1 tingkat INA-CBGs antara 5.495.300 hingga 14.138.500, kelas 2 antara 4.710.300 hingga 8.410.800, kelas 3 antara 3.925.200 hingga 10.099.000. Saran, rumah sakit harus membuat jalur klinis untuk penyakit infark miokard akut sehingga dokter memiliki pedoman untuk memberikan pengobatan yang tepat, sehingga kualitas dan biaya dapat dikendalikan. Memberikan informasi kepada dokter untuk menulis diagnosa sesuai dengan aturan ICD 10 dan ICD 9 CM. Kata kunci: Tingkat INA-CBGs, Serangan Jantung, Deskriptif

RSUP Dr. Kariadi Semarang sees both outpatients and inpatients to assess their health status and condition. Patient's health status and condition are classified into two groups: comorbid and co-incident. Patient claims are funded based on status and health conditions of comorbid and co-incident patients. The objectives this research is to know about the patient claim financing procedures of RSUP Dr. Kariadi Semarang during covid-19 pandemic. This research is descriptive qualitative using phenomenological. Primary data sources quotations were chosen using either purposeful sampling or criterion-based selection. The research informants are the primary informants. Informants are Hospital's first primary informant, the Coordinator of Coding Casemixes, and the second primary informant, the Nurse Coordinator of the Covid-19 Handling Room, as well as the first triangulation informant, the Head of the Medical Record Unit, and the second triangulation informant, the Head of the Covid-19 Handling Task Force. Interviews is methods for gathering data. Source triangulation is used for data triangulation. Data analysis using flow model of analysis and interactive analysis model. The result of this research are covid-19 with comorbidity or covid-19 with co-incident in patients because the guarantor is different, the case will be entered twice if it is a co-incident. If the condition is comorbid, the claim is handled separately. Previously, a claim was made for the covid-19 case, and if the covid-19 case was completed but the comorbidities persisted, the guarantor was changed from the Ministry of Health to BPJS Health. The conclusion is during the covid-19 pandemic, the procedures of RSUP Dr. Kariadi Semarang's patient claim financing process are two, such as the guarantor from the Ministry of Health and BPJS Health. Keywords: Patient claim, financing, process

The online registration system at Semarang's Primary Health Care has been implemented in 2018, but online registration users are still small. The purpose of this study was to compare the effectiveness of online and offline registration at waiting times using variables in queuing theory. Research at 3 health centers in the city of Semarang. By observing the time of arrival and time of admission to the patient's clinic then the patient is also given a registration service satisfaction questionnaire sheet. The data were processed using queuing theory variables as well as descriptive and inferential statistical analysis. The number of online registrants is only 12% while 88% registered offline. The total number of online registrant patient arrivals per hour is 0.85 patients and offline registrants are 6.38 patients per hour where many patients arrive at the first 105 minutes to open the Puskesmas. The utility of the online registrant registration server is 7%, while 48% offline is classified as low and the patient queue is only about 1 patient so there is no need for an additional registration server to speed up service. There was a difference between online and offline registration waiting times (p = 0.00) where online patients waited 4.91 minutes while offline patients waited 8.84 minutes. There is an effect of waiting time in the system on patient satisfaction (p = 0.00) so that to increase patient satisfaction, it is hoped that patients will register online.

Findings on the health status and condition of patients who came to Dr. Kariadi were classified into two categories comorbid and co-incident. For patient claims to be funded, an assembling process and case-mix coding are carried out for the submission process based on the results of checking the status and health conditions of comorbid and co-incident patients. This study explores the procedure for the process of financing the patient's claim at Dr. RSUP. Kariadi Semarang during the covid-19 pandemic. The research was conducted in a phenomenological descriptive qualitative manner with the data sources coming from primary informants. Sampling technique with the selection according to the criteria then conducted an interview. Flow analysis model and interactive analysis model were used to analyze the data. For Covid-19 patients with comorbidities, previously a claim was made for Covid-19 cases, and if the Covid-19 case was completed but the comorbidities persisted, the guarantor switched from the Ministry of Health to BPJS Health. The procedure for the process of financing a patient's claim at Dr. RSUP. Kariadi Semarang during the COVID-19 pandemic there were two guarantors from the Ministry of Health and BPJS Health.

Percentage of clinical and insurance diagnosis differences at Semarang City Public Hospital tended to increase. If this condition remained, it would lead to upcoding (fraud). The aim of this study was to explain a process of clinical and insurance diagnosis at a hospital in the implementation of Healthcare and Social Security Agency (Health BPJS). This was a qualitative study. Main informants consisted of doctors at an emergency room, surgeons, and internists. Informants for triangulation purpose consisted of a Hospital Director, a hospital verifier, and a head of Medical Record Unit. Data were analysed using content analysis.The results of this research showed that there were any differences in clinical and insurance diagnosis at Semarang City Public Hospital. The cause of these differences was due to differences in diagnosis and medical treatment between medical service standard of doctors at the hospital and a standard of INA-CBGs. To prevent the differences of clinical and insurance diagnosis, the Semarang City Public Hospital had formed an internal verifier team of the hospital and a Clinical Micro System team. A medical committee had a role to minimise the occurrence of upcoding by multiplying kinds of Clinical Pathway as a reference for doctors in diagnosing and determining kinds of treatments for patients.The differences of clinical and insurance diagnosis must be equated to prevent the occurrence of upcoding and disadvantage of the hospital. Efforts to prevent these differences are by adding officers, training coding, making and multiplying algorithm of clinical pathway, forming a team of Clinical Micro System, and monitoring and evaluating medical services.