20 research outputs found

    PENGELOLAAN PRAKERIN DALAM PROGRAM KEMITRAAN SMK NEGERI 2 PEMANGKAT DENGAN DUNIA USAHA DAN DUNIA INDUSTRI

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    AbstractThis study aims to describe the planning, organization, implementation, and supervision ofIndustrial Working Practice activities at State Vocational High School 2 Pemangkat. Thisresearch used a qualitative approach on the type of case study. The research subjects werethe principal, the vice principal of public relations, two people of the heads of program,two teachers, and two students of grade XI. All subjects are those who were involved inIndustrial Working Practice activities. The data collection methods used in this researchare interviews, documentation, and observation. The interactive data analysis models usedare the data collection, data reduction, data display, and data conclusion drawing. Thevalidity test of the data used is the credibility test, namely: extension of observations,increasing persistence, and triangulation. The results showed the following: 1) Planningcan be carried out in several stages, they are the arrangement of the school work program,arrangement of Industrial Working Practice program, arrangement of the PrincipalDecree regarding the duties delegation and authority of Industrial Working Practice workteam, and arranging the schedule of activities, 2) This organizing accomplished by thedivision of main task and functions that are completed within job descriptions of eachpersonnel and Industrial Working Practice Guidelines, 3) The implementation was carriedout starting from the process of releasing students, delivering students to the IndustrialWorking Practice location by involving the principal, the working team of IndustrialWorking Practice, and all board of teachers and staff of State Vocational High School 2Pemangkat, and 4) Supervision was carried out by the principal as the leader in theorganization of educational unit.Keywords: Management, Industrial Working Practice, Partnership, Vocational HighSchool, Business and Industrial Worl

    Evaluasi Pembelajaran Tematik di Kelas III SDIT Ar-Rahman Tangerang

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    This study aims to describe the implementation of the Thematic Learning Evaluation in Class III SDIT Ar-Rahman Of Tangerang. This research uses a case study qualitative research type. In this study, researchers collected descriptive data obtained from data collection through observation, interviews, and documentation. The steps of data analysis include data reduction, data presentation, and verification. Check the validity of the data using triangulation techniques. Based on the results of the study, it can be concluded that the evaluation of learning applied in this school has used the 2013 curriculum

    Evaluasi Pembelajaran Tematik Menggunakan Metode Inkuiri Selama Masa Pandemi Covid-19 pada Siswa Kelas 4A MI Al-Gaotsiyah

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    This research was motivated by the less than optimal thematic learning outcomes for MI Al-Gaotsiyah class A students during the COVID-19 pandemic. The purpose of this study was to find out whether the inquiry method could improve student learning outcomes. The study was conducted in two cycles and compared the results of the two cycles. Data collection was carried out by direct observation accompanied by collaboration with the teacher as a direct observer. Data processing is done quantitatively and qualitatively. The results showed that the inquiry method applied to online thematic learning could improve the performance of educators from 78 with the "Good" category to 91 with the "Very Good" category. Meanwhile, student learning outcomes which are the accumulation of affective, psychomotor, and cognitive aspects have increased from 70 to 74 with the "Good" category. Thus it can be concluded that the inquiry method can improve the performance of educators and student work results in class A students of MI Al-Gaotsiyah

    Dampak Pandemi Covid-19 terhadap Tenaga Kerja Formal di Indonesia

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    Even though the informal labour still dominates Indonesia workforce, the trend of formal labour increases each year. BPS data shows that in 2015, the percentage of formal labor reached 42,25 percent. Then it increased to 44,28 percent in 2019. As a capital-intensive sector, formal sector supports economy of Indonesia, because it is relatively safe or less prone to shut down. However, the determination of the global pandemic status on March 11, 2020 due to Corona Virus Disease (Covid-19) has hit the world economy, including Indonesia. To suppress the spread of Covid-19, people are asked to work, study, or pray from home. This causes many companies suffer losses and even close their businesses, thus impacting workers. Based on data from the Ministry of Manpower 13 April 2020 as many as 1.2 million formal labour have been furloughed and 212.4 thousand have been laid off. This study aims to observe the trends of formal labour in Indonesia and the impact of Covid-19 on formal labour in Indonesia. This study uses secondary data obtained from various sources which are analyzed descriptively

    Evaluasi Penerapan Pembelajaran K13 di Sekolah Dasar Dharmawati Arief Tangerang

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    Evaluation is interpreted as a process of collecting systematic analysis and interpretation to determine the extent which students that achieve the learning objectives as stated in curriculum. Curriculum evaluation is intended to examine the overall curriculum performance in terms of various criteria. Performance indicators that are evaluated are not only limited to effectiveness, but also the relevance, efficiency of this program. This research uses qualitative research by using description interviews as a data collection technique. The results show that in this application, teachers still found experience difficulties in the process of learning activities due to lack of optimal teacher training. The implementation of the K13 curriculum was carried out within one week, and only a few teachers took part in the training so that there were no equal teachers who were able to apply the K13 curriculum in the process of teaching activities in primary school

    Perinatal and 2-year neurodevelopmental outcome in late preterm fetal compromise: the TRUFFLE 2 randomised trial protocol

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    Introduction: Following the detection of fetal growth restriction, there is no consensus about the criteria that should trigger delivery in the late preterm period. The consequences of inappropriate early or late delivery are potentially important yet practice varies widely around the world, with abnormal findings from fetal heart rate monitoring invariably leading to delivery. Indices derived from fetal cerebral Doppler examination may guide such decisions although there are few studies in this area. We propose a randomised, controlled trial to establish the optimum method of timing delivery between 32 weeks and 36 weeks 6 days of gestation. We hypothesise that delivery on evidence of cerebral blood flow redistribution reduces a composite of perinatal poor outcome, death and short-term hypoxia-related morbidity, with no worsening of neurodevelopmental outcome at 2 years. Methods and analysis: Women with non-anomalous singleton pregnancies 32+0 to 36+6 weeks of gestation in whom the estimated fetal weight or abdominal circumference is <10th percentile or has decreased by 50 percentiles since 18-32 weeks will be included for observational data collection. Participants will be randomised if cerebral blood flow redistribution is identified, based on umbilical to middle cerebral artery pulsatility index ratio values. Computerised cardiotocography (cCTG) must show normal fetal heart rate short term variation (≥4.5 msec) and absence of decelerations at randomisation. Randomisation will be 1:1 to immediate delivery or delayed delivery (based on cCTG abnormalities or other worsening fetal condition). The primary outcome is poor condition at birth and/or fetal or neonatal death and/or major neonatal morbidity, the secondary non-inferiority outcome is 2-year infant general health and neurodevelopmental outcome based on the Parent Report of Children's Abilities-Revised questionnaire. Ethics and dissemination: The Study Coordination Centre has obtained approval from London-Riverside Research Ethics Committee (REC) and Health Regulatory Authority (HRA). Publication will be in line with NIHR Open Access policy. Trial registration number: Main sponsor: Imperial College London, Reference: 19QC5491. Funders: NIHR HTA, Reference: 127 976. Study coordination centre: Imperial College Healthcare NHS Trust, Du Cane Road, London, W12 0HS with Centre for Trials Research, College of Biomedical & Life Sciences, Cardiff University. IRAS Project ID: 266 400. REC reference: 20/LO/0031. ISRCTN registry: 76 016 200

    Burden of disease scenarios for 204 countries and territories, 2022–2050: a forecasting analysis for the Global Burden of Disease Study 2021

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    Background: Future trends in disease burden and drivers of health are of great interest to policy makers and the public at large. This information can be used for policy and long-term health investment, planning, and prioritisation. We have expanded and improved upon previous forecasts produced as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) and provide a reference forecast (the most likely future), and alternative scenarios assessing disease burden trajectories if selected sets of risk factors were eliminated from current levels by 2050. Methods: Using forecasts of major drivers of health such as the Socio-demographic Index (SDI; a composite measure of lag-distributed income per capita, mean years of education, and total fertility under 25 years of age) and the full set of risk factor exposures captured by GBD, we provide cause-specific forecasts of mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) by age and sex from 2022 to 2050 for 204 countries and territories, 21 GBD regions, seven super-regions, and the world. All analyses were done at the cause-specific level so that only risk factors deemed causal by the GBD comparative risk assessment influenced future trajectories of mortality for each disease. Cause-specific mortality was modelled using mixed-effects models with SDI and time as the main covariates, and the combined impact of causal risk factors as an offset in the model. At the all-cause mortality level, we captured unexplained variation by modelling residuals with an autoregressive integrated moving average model with drift attenuation. These all-cause forecasts constrained the cause-specific forecasts at successively deeper levels of the GBD cause hierarchy using cascading mortality models, thus ensuring a robust estimate of cause-specific mortality. For non-fatal measures (eg, low back pain), incidence and prevalence were forecasted from mixed-effects models with SDI as the main covariate, and YLDs were computed from the resulting prevalence forecasts and average disability weights from GBD. Alternative future scenarios were constructed by replacing appropriate reference trajectories for risk factors with hypothetical trajectories of gradual elimination of risk factor exposure from current levels to 2050. The scenarios were constructed from various sets of risk factors: environmental risks (Safer Environment scenario), risks associated with communicable, maternal, neonatal, and nutritional diseases (CMNNs; Improved Childhood Nutrition and Vaccination scenario), risks associated with major non-communicable diseases (NCDs; Improved Behavioural and Metabolic Risks scenario), and the combined effects of these three scenarios. Using the Shared Socioeconomic Pathways climate scenarios SSP2-4.5 as reference and SSP1-1.9 as an optimistic alternative in the Safer Environment scenario, we accounted for climate change impact on health by using the most recent Intergovernmental Panel on Climate Change temperature forecasts and published trajectories of ambient air pollution for the same two scenarios. Life expectancy and healthy life expectancy were computed using standard methods. The forecasting framework includes computing the age-sex-specific future population for each location and separately for each scenario. 95% uncertainty intervals (UIs) for each individual future estimate were derived from the 2·5th and 97·5th percentiles of distributions generated from propagating 500 draws through the multistage computational pipeline. Findings: In the reference scenario forecast, global and super-regional life expectancy increased from 2022 to 2050, but improvement was at a slower pace than in the three decades preceding the COVID-19 pandemic (beginning in 2020). Gains in future life expectancy were forecasted to be greatest in super-regions with comparatively low life expectancies (such as sub-Saharan Africa) compared with super-regions with higher life expectancies (such as the high-income super-region), leading to a trend towards convergence in life expectancy across locations between now and 2050. At the super-region level, forecasted healthy life expectancy patterns were similar to those of life expectancies. Forecasts for the reference scenario found that health will improve in the coming decades, with all-cause age-standardised DALY rates decreasing in every GBD super-region. The total DALY burden measured in counts, however, will increase in every super-region, largely a function of population ageing and growth. We also forecasted that both DALY counts and age-standardised DALY rates will continue to shift from CMNNs to NCDs, with the most pronounced shifts occurring in sub-Saharan Africa (60·1% [95% UI 56·8–63·1] of DALYs were from CMNNs in 2022 compared with 35·8% [31·0–45·0] in 2050) and south Asia (31·7% [29·2–34·1] to 15·5% [13·7–17·5]). This shift is reflected in the leading global causes of DALYs, with the top four causes in 2050 being ischaemic heart disease, stroke, diabetes, and chronic obstructive pulmonary disease, compared with 2022, with ischaemic heart disease, neonatal disorders, stroke, and lower respiratory infections at the top. The global proportion of DALYs due to YLDs likewise increased from 33·8% (27·4–40·3) to 41·1% (33·9–48·1) from 2022 to 2050, demonstrating an important shift in overall disease burden towards morbidity and away from premature death. The largest shift of this kind was forecasted for sub-Saharan Africa, from 20·1% (15·6–25·3) of DALYs due to YLDs in 2022 to 35·6% (26·5–43·0) in 2050. In the assessment of alternative future scenarios, the combined effects of the scenarios (Safer Environment, Improved Childhood Nutrition and Vaccination, and Improved Behavioural and Metabolic Risks scenarios) demonstrated an important decrease in the global burden of DALYs in 2050 of 15·4% (13·5–17·5) compared with the reference scenario, with decreases across super-regions ranging from 10·4% (9·7–11·3) in the high-income super-region to 23·9% (20·7–27·3) in north Africa and the Middle East. The Safer Environment scenario had its largest decrease in sub-Saharan Africa (5·2% [3·5–6·8]), the Improved Behavioural and Metabolic Risks scenario in north Africa and the Middle East (23·2% [20·2–26·5]), and the Improved Nutrition and Vaccination scenario in sub-Saharan Africa (2·0% [–0·6 to 3·6]). Interpretation: Globally, life expectancy and age-standardised disease burden were forecasted to improve between 2022 and 2050, with the majority of the burden continuing to shift from CMNNs to NCDs. That said, continued progress on reducing the CMNN disease burden will be dependent on maintaining investment in and policy emphasis on CMNN disease prevention and treatment. Mostly due to growth and ageing of populations, the number of deaths and DALYs due to all causes combined will generally increase. By constructing alternative future scenarios wherein certain risk exposures are eliminated by 2050, we have shown that opportunities exist to substantially improve health outcomes in the future through concerted efforts to prevent exposure to well established risk factors and to expand access to key health interventions
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