Social Demography Study of Gonorrhea and Syphilis at RSUD dr. Soedono Madiun

An understanding of the socio-demographic characteristics is the first step to conduct preventive and promotive measures to reduce the number of sexually transmitted infections. This study described the socio-demographic cha-racteristics of gonorrhea and syphilis in dr. Soedono Hospital Madiun. A descripttive study with a quantitative approach used secondary data from outpatient medical records. This research was conducted in dr. Soedono Hospital Madiun, East Java. The samples used in this study were 61 patients who had been diagnosed with gonorrhea and syphilis in the period from July 2013 - June 2016. The data consisted of 50 (82%) medical records with the diagnosis of gonorrhea and 11 (18%) medical records with a diagnosis of syphilis. Characteristics of patients/respondents are the highest age group of 21-30 years, 22 female patients (36.1%), 55 male patients (90.2%), unmarried status 33 people (54.1%), work as private employees 37 people (60.7%), pay without insurance 48 people (78.7%), and live around Madiun 52 (86.0%). The socio-demographic factors were dominant in patients with gonorrhea and syphilis in dr. Soedono Hospital period of 2013-2016 was 21-30 years old, male, unmarried, living as private sector employees, pay without insurance, and Madiun origin

Pengaruh Iklim Organisasi, Motivasi Kerja Dan Perilaku Inovatif Terhadap Kinerja Pegawai Pada Dinas Penanaman Modal Dan Pelayanan Terpadu Satu Pintu Kota Pasuruan

The purpose of this study was to analyze the relationship between organizational climate and employee performance, work motivation and employee performance, innovative behavior and employee performance. This research method is quantitative. The data collection technique in this study used an online questionnaire technique designed using a Likert scale of 1 to 5 and distributed to 43 employees at the Investment and One-Stop Services Office of Pasuruan City who were selected by purposive sampling method. This data processing tool is SPSS (Statistical Package for Social Science). Before conducting data analysis, first tested the validity and reliability of the questionnaire used. To measure its validity, the score of each question item is used which is correlated with the total item score in one variable. After testing the validity and reliability, then performed data analysis. Analysis and interpretation of data is carried out to answer the problems that have been formulated and answer the hypotheses.Tujuan dari penelitian ini adalah untuk menganalisis hubungan antara iklim organisasi dengan kinerja pegawai, motivasi kerja dengan kinerja pegawai, perilaku inovatif dengan kinerja pegawai. Metode penelitian ini adalah kuantitatif. Teknik pengumpulan data dalam penelitian ini menggunakan teknik kuesioner online yang dirancang dengan menggunakan skala Likert 1 sampai 5 dan disebarkan kepada 43 pegawai pada Dinas Penanaman Modal dan PelayananTerpadu Satu Pintu Kota Pasuruan yang dipilih dengan metode purposive sampling. Alat pengolahan data ini SPSS (Stastistical Package for Social Science). Sebelum melakukan analisis data, terlebih dahulu dilakukan uji validitas dan reliabilitas kuesioner yang digunakan. Untuk mengukur validitasnya digunakan skor setiap item pertanyaan yang dikorelasikan dengan skor total item dalam satu variabel. Setelah dilakukan uji validitas dan reliabilitas, selanjutnya dilakukan analisis data. Analisis dan interpretasi data dilakukan untuk menjawab permasalahan yang telah dirumuskan dan menjawab hipotesi

Government response and community mobility amidst the COVID-19 pandemic in Southeast Asia

[[abstract]]Background: The number of COVID-19 cases in Southeast Asia had reached 1.5 million in early January 2021. The disease spread, government response, and community compliance with social distancing differ among countries. These factors could have an impact on the COVID-19 outbreak in each country. Although many studies conclude that the government response and community mobility would much affect the spread of COVID-19, quantitative evidence is still limited. Objective: This study aimed to examine the influence of the government response and community mobility on the COVID-19 pandemic quantitatively in Southeast Asia.Method: The study extracted data from The Coronavirus Government Response Tracker (OxCGRT), COVID-19 Community Mobility Report, and Our World in Data between March 1 and December 31, 2020, regard to Southeast Asia countries, including Brunei, Cambodia, East Timor, Indonesia, Laos, Malaysia, Myanmar, Philippines, Singapore, Thailand, and Vietnam. The government response index, community mobility percentages compare to baseline, and COVID-19 cases were presented as a time-series graph. Partial Least Square Structural Equation Modeling (PLS-SEM) was used to analyze the effect of variables bi-monthly in each country.Result: The government response, especially the containment index, was generally followed by community mobility. The higher the containment index, the lower the community mobility, and vice versa. There was a suppression effect of government response to community mobility in all studied countries in Southeast Asia with a path coefficient range from -0.785 to -0.976 and all p-value <0.001 in March-April and from -0.670 to -0.932 and all p-value <0.000 in May-June (except for Cambodia). There was a suppression effect of community mobility to the COVID-19 case with a path coefficient range from -0.058 to -0.937 in March-April and from -0.059 to -0.640 in September-October.Conclusion: The trends of changes of the effect based on bimonthly analysis from the government's response, community mobility, and COVID-19 cases in Southeast Asia countries were varied. However, there were some similarities, the government response could suppress community mobility in March-April and May-June, and community mobility could suppress COVID-19 cases in March-April and September-October.[[abstract]]Background: The number of COVID-19 cases in Southeast Asia had reached 1.5 million in early January 2021. The disease spread, government response, and community compliance with social distancing differ among countries. These factors could have an impact on the COVID-19 outbreak in each country. Although many studies conclude that the government response and community mobility would much affect the spread of COVID-19, quantitative evidence is still limited. Objective: This study aimed to examine the influence of the government response and community mobility on the COVID-19 pandemic quantitatively in Southeast Asia.Method: The study extracted data from The Coronavirus Government Response Tracker (OxCGRT), COVID-19 Community Mobility Report, and Our World in Data between March 1 and December 31, 2020, regard to Southeast Asia countries, including Brunei, Cambodia, East Timor, Indonesia, Laos, Malaysia, Myanmar, Philippines, Singapore, Thailand, and Vietnam. The government response index, community mobility percentages compare to baseline, and COVID-19 cases were presented as a time-series graph. Partial Least Square Structural Equation Modeling (PLS-SEM) was used to analyze the effect of variables bi-monthly in each country.Result: The government response, especially the containment index, was generally followed by community mobility. The higher the containment index, the lower the community mobility, and vice versa. There was a suppression effect of government response to community mobility in all studied countries in Southeast Asia with a path coefficient range from -0.785 to -0.976 and all p-value <0.001 in March-April and from -0.670 to -0.932 and all p-value <0.000 in May-June (except for Cambodia). There was a suppression effect of community mobility to the COVID-19 case with a path coefficient range from -0.058 to -0.937 in March-April and from -0.059 to -0.640 in September-October.Conclusion: The trends of changes of the effect based on bimonthly analysis from the government's response, community mobility, and COVID-19 cases in Southeast Asia countries were varied. However, there were some similarities, the government response could suppress community mobility in March-April and May-June, and community mobility could suppress COVID-19 cases in March-April and September-October

Training intervention to improve hygiene practices in Islamic boarding school in Yogyakarta, Indonesia: A mixed-method study.

BACKGROUND:The primary objective of this study was to determine the effect of a training intervention in overall improvement in students' (santris) knowledge, behavior, and outcome. METHODS:A mixed-methods exploratory sequential design was applied. First, qualitative data were collected from three focus group discussions with 20 supervisors and one in-depth interview with school principal to explore current hygiene practices. The information was then used to develop training intervention using either video, poster, and leaflet. To measure the effect, a stepped wedge cluster design with pre- and post-test analyses was conducted. A total of 452 junior high school santris in one Islamic boarding school were non-randomly allocated to either three intervention groups. Outcome measures were knowledge, personal behavior, and room hygiene. Codes and categories were produced in the qualitative analysis, while paired t-tests and Wilcoxon rank tests test were used in the quantitative analysis. RESULTS:The qualitative study identified poor practices on personal and room hygiene among the santris and proposed a training intervention. Overall, there was a significant increase in knowledge and personal behavior after the intervention (7.22 ± 1.34 pre-intervention to 7.70 ± 0.74 post-intervention and 9.75 ± 2.98 pre-intervention to 12.16 ± 2.12 post-intervention, respectively, p < 0.001). Room hygiene was significantly improved among boys and those who received leaflets. CONCLUSION:Having developed a specific training materials, school-based hygiene training intervention improved knowledge and personal behavior. Its effect on room hygiene particularly for female santris needs further strengthening of the intervention in this Islamic boarding school setting

Effects of the Government Response and Community Mobility on the COVID-19 Pandemic in Southeast Asia

Preventive policies and mobility restrictions are believed to work for inhibiting the growth rate of COVID-19 cases; however, their effects have rarely been assessed and quantified in Southeast Asia. We aimed to examine the effects of the government responses and community mobility on the COVID-19 pandemic in Southeast Asian countries. The study extracted data from Coronavirus Government Response Tracker, COVID-19 Community Mobility Report, and Our World in Data between 1 March and 31 December 2020. The government responses were measured by containment, health, and economic support index. The community mobility took data on movement trends at six locations. Partial least square structural equation modeling was used for bi-monthly analyses in each country. Results show that the community mobility generally followed government responses, especially the containment index. The path coefficients of government responses to community mobility ranged from −0.785 to −0.976 in March to April and −0.670 to −0.932 in May to June. The path coefficients of community mobility to the COVID-19 cases ranged from −0.058 to −0.937 in March to April and from −0.059 to −0.640 in September to October. It suggests that the first few months since the mobility restriction implemented is the optimal time to control the pandemic

Effects of the Government Response and Community Mobility on the COVID-19 Pandemic in Southeast Asia

[[abstract]]Preventive policies and mobility restrictions are believed to work for inhibiting the growth rate of COVID-19 cases; however, their effects have rarely been assessed and quantified in Southeast Asia. We aimed to examine the effects of the government responses and community mobility on the COVID-19 pandemic in Southeast Asian countries. The study extracted data from Coronavirus Government Response Tracker, COVID-19 Community Mobility Report, and Our World in Data between 1 March and 31 December 2020. The government responses were measured by containment, health, and economic support index. The community mobility took data on movement trends at six locations. Partial least square structural equation modeling was used for bi-monthly analyses in each country. Results show that the community mobility generally followed government responses, especially the containment index. The path coefficients of government responses to community mobility ranged from −0.785 to −0.976 in March to April and −0.670 to −0.932 in May to June. The path coefficients of community mobility to the COVID-19 cases ranged from −0.058 to −0.937 in March to April and from −0.059 to −0.640 in September to October. It suggests that the first few months since the mobility restriction implemented is the optimal time to control the pandemic