Pengaruh Tingkat Kepercayaan Masyarakat Tentang Covid-19 Terhadap Kepatuhan Menjalankan Protokol Kesehatan Pada Masa Pandemi Covid-19

Virus corona merupakan virus berbahaya yang menyerang saluran pernapasan dan menyebabkan demam tinggi, batuk, flu, sesak napas serta nyeri tenggorokan. Cara yang dapat dilakukan untuk mencegah tertularnya Covid-19 yaitu menjalankan protokol kesehatan. Di Kabupaten Aceh Utara masih banyak masyarakat tidak patuh untuk menjalankan protokol kesehatan tersebut. Hal tersebut dikarenakan banyak masyarakat belum begitu mempercayai penyakit Covid-19. Penelitian ini bertujuan mengidentifikasi pengaruh tingkat kepercayaan masyarakat tentang Covid-19 terhadap kepatuhan menjalankan protokol kesehatan pada masa pandemi Covid-19. Jenis penelitian ini yaitu quantitative dengan desain korelasi analitik dengan cross sectional. Pengambilan sampel dengan teknik convenience sampling dengan jumlah 175 responden. Analisis data secara uji Chi-Square. Hasil penelitian menunjukkan sebanyak 67,4% responden memiliki tingkat kepercayaan dalam kategori tidak percaya dan sebanyak 82,9% responden tidak patuh dalam menjalankan protokol kesehatan. Ada pengaruh tingkat kepercayaan masyarakat tentang Covid-19 terhadap kepatuhan menjalankan protokol kesehatan pada masa pandemi Covid-19 masyarakat di Desa Lueng Bata Kecamatan Baktiya Kabupaten Aceh Utara (p=0,000). Diharapkan kepada petugas kesehatan terutama perawat lebih optimal dalam memberikan pendidikan kesehatan untuk meningkatkan kepercayaan masyarakat tentang Covid-19 sehingga masyarakat patuh dalam menjalankan protokol kesehatan. Kata kunci: covid-19; kepatuhan; protokol kesehatan; tingkat kepercayaanThe Effect Of Community Trust Regarding Covid-19 On The Compliance Of Health Protocol Implementation During Covid-19 PandemicsAbstractCorona virus is a dangerous virus that attacks the respiratory tract and causes high fever, cough, flu, shortness of breath and sore throat. One way to prevent the spread of COVID-19 is to follow health protocols. In North Aceh District, there are still many people who do not comply with the health protocol. This is because many people do not really believe in the Covid-19 disease. This study was aimed to identify the effect of the level of public trust about Covid-19 on compliance with health protocols during the Covid-19 pandemic. This type of research was quantitative analytical correlation design with cross sectional. Sampling technique used convenience sampling technique with a total of 175 respondents. Data analysis used Chi-Square test. The results showed that 67.4% of respondents had a level of trust in the distrust category and as many as 82.9% of respondents did not comply with health protocols. There is an influence on the level of public trust about Covid-19 on compliance with health protocols during the Covid-19 pandemic in Lueng Bata Village, Baktiya District, North Aceh Regency (p = 0.000). It is hoped that health workers, especially nurses, are more optimal in providing health education to increase public trust about Covid-19 so that people obey in carrying out health protocols. Keywords: covid-19; obedience; health protocols; level of confidence

HUBUNGAN KELELAHAN POSTPARTUM DENGAN MOTIVASI PEMBERIAN ASI

THE WOMEN'S CONDITION AFTER CHILDBIRTH UNDERGOES PHYSICAL AND PSYCHOLOGICAL CHANGES. CHANGES AFTER CHILDBIRTH CAUSE FATIGUE IN THE POSTPARTUM PERIOD. POSTPARTUM FATIGUE MAKES THE MOTIVATION OF BREASTFEEDING DECREASE. THIS STUDY AIMS TO FIND OUT THE RELATIONSHIP OF FATIGUE WITH MOTIVATION FOR BREASTFEEDING IN THE POSTPARTUM PERIOD. THE DESIGN OF THIS STUDY WAS A QUANTITATIVELY ANALYTICAL CORRELATION WITH A CROSSECTIONAL APPROACH PERFORMED ON 95 POSTPARTUM MOTHERS WITH PURPOSIVE SAMPLING TECHNIQUES. THE QUESTIONNAIRES USED ARE THE POSTPARTUM FATIGUE SCALE (PFS) AND BREASTFEEDING MOTIVATIONAL INSTRUCTIONAL MEASUREMENT SCALE (BMIMS). STATISTICAL ANALYSIS USES THE SPEARMAN RHO TEST WITH SIGNIFICANCE P<0.05. THE RESULTS OF THIS STUDY SHOWED THAT POSTPARTUM MOTHERS WHO EXPERIENCED HIGH LEVELS OF FATIGUE AS MUCH AS 91 (95.8%), MODERATE AS MUCH AS 2 (2.1%), LOW AS MANY AS 2 (2.1%) RESPONDENTS. THE MOTIVATION LEVEL OF BREASTFEEDING WAS LOW BY 50 (52.6%), AND THE MOTIVATION OF BREASTFEEDING WAS LOW AS MUCH AS 40 (47.4%) RESPONDENTS. THE CONCLUSION OF THIS STUDY THERE IS A SIGNIFICANT ASSOCIATION BETWEEN FATIGUE AND MOTIVATION OF BREASTFEEDING IN POSTPARTUM (P = 0.001). HEALTH SERVICE ARE EXPECTED TO IMPROVE THE QUALITY OF SERVICE IN THE POSTPARTUM PERIOD BY ASSESSING POSTPARTUM FATIGUE EARLY TO INCREASE MATERNAL MOTIVATION IN BREASTFEEDING.

Prediction of CO2 Minimum Miscibility Pressure Using an Augmented Machine-Learning-Based Model

Summary Minimum miscibility pressure (MMP) is one of the key design parameters for gas injection projects. It is a physical parameter that is a measure of local displacement efficiency while subject to some constraints due to its definition. Also, the MMP value is used to tune compositional models along with proper fluid description constrained with other available basic phase behavior data, such as bubble point pressure and volumetric properties. In general, carbon dioxide (CO2) and hydrocarbon gases are the most common gases used for (or screened for) gas injection processes, and because of recent focus, they are used to screen for the coupling of CO2-sequestration and CO2-enhanced oil recovery (EOR) projects. Because the CO2/oil phase behavior is quite different than the hydrocarbon gas/oil phase behavior, researchers developed specialized correlations for CO2 or CO2-rich streams. Therefore, there is a need for a tool with expanded range capabilities for the estimation of MMP for CO2 gas streams. The only known and widely accepted measurement technique for MMP that is coherent with its formal definition is the use of a slimtube apparatus. However, the use of slimtube restricts the amount of data available, even though there are other alternative techniques presented over the last three decades, which all have various limitations (Dindoruk et al. 2021). Due to some of the complexities highlighted in Dindoruk et al. (2021) and time and resource requirements, there have been a number of correlations developed in the literature using mostly classical regression techniques with relatively sparse data using various combinations of limited input data (Cronquist 1978; Lee 1979; Yellig and Metcalfe 1980; Alston et al. 1985; Glaso 1985; Jaubert et al. 1998; Emera and Sarma 2005; Yuan et al. 2005; Ahmadi et al. 2010; Ahmadi and Johns 2011). In this paper, we present two separate approaches for the calculation of the MMP of an oil for CO2 injection: analytical correlation in which the correlation coefficients were tuned using linear support vector machines (SVMs) (Press et al. 2007; MathWorks 2020; RDocumentation 2020b; Cortes and Vapnik 1995) and using a hybrid method (i.e., superlearner model), which consists of the combination of random forest (RF) regression (Breiman 2001) and the proposed analytical correlation. Both models take the compositional analysis of oils up to heptane plus fraction, molecular weight of oil, and the reservoir temperature as input parameters. Based on statistical and data analysis techniques in combination with the help of corresponding crossplots, we showed that the performance of the final proposed method (hybrid method) is superior to all the leading correlations (Cronquist 1978; Lee 1979; Yellig and Metcalfe 1980; Alston et al. 1985; Glaso 1985; Emera and Sarma 2005; Yuan et al. 2005) and supervised machine-learning (Metcalfe 1982) methods considered in the literature (Altman 1992; Chambers and Hastie 1992; Chapelle and Vapnik 2000; Breiman 2001; Press et al. 2007; MathWorks 2020). The proposed model works for the widest spectrum of MMPs from 1,000 to 4,900 psia, which covers the entire range of oils within the scope of CO2 EOR based on the widely used screening criteria (Taber et al. 1997a, 1997b).

Influence of Water Addition Upstream Diffuser Inlet on Lean Blowout and Emissions in the TeLESS-II Combustor

Water is likely to be ingested into aeroengines under conditions of rainfall or hail, increasing the risk of flame blowout and posing great influence on the combustion characteristics. The chemical and thermal effects of inlet water addition on lean blowout and emissions in the TeLESS-II centrally staged LPP (Lean Premixed Prevaporized) combustor are investigated in this paper. Experiments are carried out at various conditions relevant to gas turbine combustors: the inlet temperature range is 450 K – 533 K, the inlet pressure range is 0.3 Mpa – 0.4 Mpa. The range of water mass fraction investigated is 0% – 5%. Chemical kinetics calculations are conducted to analyze the chemical effect of water addition on combustion characteristics of aviation kerosene. Time-averaged CH chemiluminescence imaging is applied to provide information of flame front and heat release. Combustion emission concentrations (CO, UHC, and NOx) are measured by a gas analyzer Based on Lefebvre’s model, an updated semi-analytical correlation is proposed to predict lean blowout limits of centrally staged combustor considering water addition. Chemical calculation results show that the addition of water leads to lower laminar flame speed and lower adiabatic flame temperature. The lower flame speed and higher flow velocity due to water injection result in higher lean blowout limits. Higher combustor inlet temperature can extend the LBO (lean blowout) limits to lower values at the same water fraction. Flame observations indicate that during the flame blowout process with the decrease of fuel flow rate, the post flame region first extinguished, and then upstream to the flame root. Flame close to the lean blowout presents a V shape and stabilizes in the recirculation zone near the nozzle. The heat release decreases with the increasing water injection. Emission results show that the water injection can reduce NOx emissions due to the thermal effects of flame temperature, while the CO, UHC emission increase on the contrary. The semi-analytical correlation to predict LBO limits shows fair agreement with experiments values at different water fractions. The prediction error compared to experiment data is within −11.3% to +12.8% in the present centrally staged combustor configuration.

RELATIONSHIP OF RESPONSE TIME AGAINST ACCURACY IN EMPLOYEE ACTIVITIES INPATIENT CARDIAC ARREST

Cardiac arrest is a condition where the heart is unable to pump blood at all as a result of abnormal heart rhythms that are not effective. Response time is the speed and accuracy of service time needed by patients to get help in accordance with the emergency of the disease since entering the emergency room. Good response time for patients is <5 minutes if it passes it can result in the lives of patients in danger and can even cause death. The purpose of this study is to determine the relationship of response time to the emergency actions of cardiac arrest patients. The design in this study was an analytical correlation using a cross-sectional approach. The population in this study were all nurses in the IGD and ICU in Sakinah Mojokerto Hospital and Hasanah Mojokerto Hospital in 52 nurses. The sampling technique used is total sampling. The instrument used was a stopwatch and SOP observation sheet for handling Cardiac arrest patients. The results showed that most nurses had response time ≤ 5 minutes as many as 35 respondents (67.3%) and the accuracy of emergency actions in cardiac arrest patients according to SOP were 40 respondents (76, 9%). The faster the nurse performs the response time it is expected that the more appropriate in performing emergency actions in cardiac arrest patients