Pengaruh Manajemen Waktu, Motivasi Kerja dan Kinerja Guru Terhadap Kompetensi Profesional Guru

This research was carried out by all State Vocational Schools in Soppeng Regency, South Sulawesi Province. In this study, the population is 57 teachers of State Vocational Schools in Kabupaten Soppeng. The sampling technique in this study using Simple random sampling is said to be simple (simple because sampling is done randomly without regard to the existing strata in the population. The data analysis tool used in this study is research with multiple linear regression. Based on the results of the research conducted, it shows that: Time Management has a positive and significant effect on teachers' Professionals in SMKN Kabupaten Soppeng, Teacher Motivation has a positive and significant effect on teacher Professionals in SMKN Kabupaten Soppeng District, Teacher Performance has a positive and significant effect on Professionals Teachers at SMKN Kabupaten Soppeng, Time Management, Work Motivation and Teacher Performance simultaneously had a positive and significant effect on teacher Professionals in SMKN Kabupaten Soppeng

DERADIKALISASI AGAMA BERBASIS PENDIDIKAN MULTIKULTURAL INKLUSIF DI PONDOK PESANTREN KOTA BANDAR LAMPUNG

Penelitian ini bertujuan untuk memetakan kurikulum pendidikan multikultural-inklusivisme yang dikembangkan di Pondok Pesantren di kota Bandar Lampung, menganalisis proses internalisasi nilai-nilai multikultural-inklusivisme yang dilaksanakan di Pondok Pesantren di Kota Bandar Lampung, serta menganalisis efektivitas penerapan pendidikan multikultural-inklusivisme yang dikembangkan di Pondok Pesantren di Kota Bandar Lampung. Penelitian ini berjenis penelitian lapangan berbasis penelitian kualitatif. Pendekatan yang digunakan dalam penelitian ini adalah pendekatan psikologi agama. Subjek pada penelitian ini adalah santri Pondok Pesantrenn Al-Hikmah, Way Halim, Pondok Pesantren Madarijul Ulum Telukbetung, dan Pondok Pesantren Al-Khairiyah Telukbetung. Data yang akan dicari dalam penelitian ini berupa data tertulis dan data tidak tertulis. Sumber data penelitian ini adalah Kiayi pimpinan pondok pesantren sebagai informan kunci. Teknik pengumpulan data direncanakan dengan tiga cara, yaitu wawancara, pengamatan, dan dokumentasi. Sebelum dianalisis, data yang telah diperoleh divalidasi dengan menggunakan teknik triangulasi. Semua data yang telah dikumpulkan dan divalidasi kemudian dianalisis dengan menggunakan metode berpikir induktif. Penelitian ini menghasilkan bahwa penerapan model pendidikan multikultural-inklusif cukup efektif sebagai upaya deradikalisasi di lingkungan tiga pondok pesantren tersebu

Effects of high energy radiation on mechanical properties of PP/EPDM nanocomposite

Nanocomposites are the materials that are created by introducing nanoparticulates that always referred to as filler into the matrix. Blends of polypropylene (PP)/ethylene propylene diene monomer EPDM)/Montmorillonite (MMT) were treated by compatibilizer MAPP and irradiation of electron beam. The effects on mechanical properties for both samples were compared with the untreated nanocomposites. Because each samples used different portion of clay loading, the effects of clay loading on mechanical properties is also observed. The sample is characterized by using Transmission Electron Microscope (TEM), X-Ray Diffraction (XRD), tensile test and impact test

Hazardless nanocomposite for gas barrier potential

Composites based on high density polyethylene (HDPE), ethylene propylene diene monomer (EPDM) and Organically Modified Montmorillonite (OMMT) clays were made by melt compounding followed by compression molding. Tensile testing, X-ray diffraction (XRD) and Transmission Electron Microscopy (TEM) were used to characterize the nanocomposites. The addition of clay, compatibilizer agent (Maleic Anhydride Polyethylene (MAPE)) and the exposure under Electron Beam Irradiation (EB) considerably improved the tensile properties of the composite system. Tensile Strength (MPa) and Tensile Modulus (MPa) were found to increase significantly with increasing clay content and decreasing as the clay content exceeds 4 wt% values. The largest improvement in composite mechanical properties occurred at clay loading levels of 4% (2-8 wt %) with EB Irradiation system followed by MAPE and unirradiated/untreated systems. Nearly 67% increase in tensile strength and 64% increase in tensile modulus were observed with EB irradiated system. The d spacings of the clay in nanocomposite were monitored using XRD and the extent of delamination was examined by TEM. The wide angle of XRD patterns showed the increased d-spacing of clay layers, indicating enhanced compatibility between HDPE and OMMT with the EB irradiated and addition of MAPE. TEM photomicrographs illustrated the intercalated and partially exfoliated structures of the nanocomposite with OMMT and MAPE system

Predicting Going Concern of Companies Using the Tone of Auditor Reporting

Despite the growing need for research on the going concern and bankruptcy of companies, most of the conducted studies have used the approach of quantitative data for predicting the going concern and bankruptcy of companies; on the other hand, it is possible to manage these quantitative data by company managers. As a result, there appears to be a need to examine alternative methods for predicting going concern and bankruptcy based on qualitative data from the auditor's report. The purpose of this research is to determine the ability to predict the going concern of the companies using quantitative and qualitative data. The study period was from 2011 to 2021, with a sample of 54 companies admitted to the Tehran Stock Exchange. The results of the first hypothesis test show that the coefficient of determination of text-mining approach model prediction with the presence of a life cycle variable is greater than the determination coefficient of text-mining approach model prediction with the presence of a company size variable. The test of the second hypothesis shows that the difference in the increasing explanatory power of the first model compared to the second model in the companies accepted in the stock exchange is significant

Genetic relationship and diversity among some Moroccan and introduced rapeseed (Brassica napus L.) varieties as revealed by molecular markers☆

Rapeseed (Brassica napus L.) crop can be a lever for the development of oilseed sector in Morocco due to its adaptation to local conditions and its major economic and food importance. Genetic diversity and selection of valuable crossing parents are the key to successful breeding and improvement of this crop. In this regard, genetic variation within the existing germplasm must be explored and characterized. Therefore, the present study was carried out to investigate the genetic diversity among 22 varieties from Morocco as well as other origins, using twenty ISSR primers. The selected primers have generated a total of 319 markers. Polymorphic amplified bands varied from 8 to18, with an average of 13 per primer. The diversity index (PIC value) ranged from 0.295 to 0.509, with a mean value of 0.37 per primer, indicating a good genetic diversity level for the primers used. The average similarity coefficient was 0.31, fluctuating between 0.176 and 0.456, and the pairwise comparison of the studied varieties showed a great discriminating power of primers and a large genetic diversity among accessions. A total of eight ISSR primers could be identified as key to rapeseed varietal determination. Hierarchical classification allowed identifying three groups with some phylogeographic structuring. This is the first report of molecular characterization of rapeseed germplasm in Morocco and Africa. The obtained results have important implications for management of this germplasm to conserve the existing genetic diversity and use it properly in breeding programs in Morocco as well as in other Mediterranean and African countries

Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021

Background: Estimates of demographic metrics are crucial to assess levels and trends of population health outcomes. The profound impact of the COVID-19 pandemic on populations worldwide has underscored the need for timely estimates to understand this unprecedented event within the context of long-term population health trends. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 provides new demographic estimates for 204 countries and territories and 811 additional subnational locations from 1950 to 2021, with a particular emphasis on changes in mortality and life expectancy that occurred during the 2020–21 COVID-19 pandemic period. Methods: 22 223 data sources from vital registration, sample registration, surveys, censuses, and other sources were used to estimate mortality, with a subset of these sources used exclusively to estimate excess mortality due to the COVID-19 pandemic. 2026 data sources were used for population estimation. Additional sources were used to estimate migration; the effects of the HIV epidemic; and demographic discontinuities due to conflicts, famines, natural disasters, and pandemics, which are used as inputs for estimating mortality and population. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate under-5 mortality rates, which synthesised 30 763 location-years of vital registration and sample registration data, 1365 surveys and censuses, and 80 other sources. ST-GPR was also used to estimate adult mortality (between ages 15 and 59 years) based on information from 31 642 location-years of vital registration and sample registration data, 355 surveys and censuses, and 24 other sources. Estimates of child and adult mortality rates were then used to generate life tables with a relational model life table system. For countries with large HIV epidemics, life tables were adjusted using independent estimates of HIV-specific mortality generated via an epidemiological analysis of HIV prevalence surveys, antenatal clinic serosurveillance, and other data sources. Excess mortality due to the COVID-19 pandemic in 2020 and 2021 was determined by subtracting observed all-cause mortality (adjusted for late registration and mortality anomalies) from the mortality expected in the absence of the pandemic. Expected mortality was calculated based on historical trends using an ensemble of models. In location-years where all-cause mortality data were unavailable, we estimated excess mortality rates using a regression model with covariates pertaining to the pandemic. Population size was computed using a Bayesian hierarchical cohort component model. Life expectancy was calculated using age-specific mortality rates and standard demographic methods. Uncertainty intervals (UIs) were calculated for every metric using the 25th and 975th ordered values from a 1000-draw posterior distribution. Findings: Global all-cause mortality followed two distinct patterns over the study period: age-standardised mortality rates declined between 1950 and 2019 (a 62·8% [95% UI 60·5–65·1] decline), and increased during the COVID-19 pandemic period (2020–21; 5·1% [0·9–9·6] increase). In contrast with the overall reverse in mortality trends during the pandemic period, child mortality continued to decline, with 4·66 million (3·98–5·50) global deaths in children younger than 5 years in 2021 compared with 5·21 million (4·50–6·01) in 2019. An estimated 131 million (126–137) people died globally from all causes in 2020 and 2021 combined, of which 15·9 million (14·7–17·2) were due to the COVID-19 pandemic (measured by excess mortality, which includes deaths directly due to SARS-CoV-2 infection and those indirectly due to other social, economic, or behavioural changes associated with the pandemic). Excess mortality rates exceeded 150 deaths per 100 000 population during at least one year of the pandemic in 80 countries and territories, whereas 20 nations had a negative excess mortality rate in 2020 or 2021, indicating that all-cause mortality in these countries was lower during the pandemic than expected based on historical trends. Between 1950 and 2021, global life expectancy at birth increased by 22·7 years (20·8–24·8), from 49·0 years (46·7–51·3) to 71·7 years (70·9–72·5). Global life expectancy at birth declined by 1·6 years (1·0–2·2) between 2019 and 2021, reversing historical trends. An increase in life expectancy was only observed in 32 (15·7%) of 204 countries and territories between 2019 and 2021. The global population reached 7·89 billion (7·67–8·13) people in 2021, by which time 56 of 204 countries and territories had peaked and subsequently populations have declined. The largest proportion of population growth between 2020 and 2021 was in sub-Saharan Africa (39·5% [28·4–52·7]) and south Asia (26·3% [9·0–44·7]). From 2000 to 2021, the ratio of the population aged 65 years and older to the population aged younger than 15 years increased in 188 (92·2%) of 204 nations. Interpretation: Global adult mortality rates markedly increased during the COVID-19 pandemic in 2020 and 2021, reversing past decreasing trends, while child mortality rates continued to decline, albeit more slowly than in earlier years. Although COVID-19 had a substantial impact on many demographic indicators during the first 2 years of the pandemic, overall global health progress over the 72 years evaluated has been profound, with considerable improvements in mortality and life expectancy. Additionally, we observed a deceleration of global population growth since 2017, despite steady or increasing growth in lower-income countries, combined with a continued global shift of population age structures towards older ages. These demographic changes will likely present future challenges to health systems, economies, and societies. The comprehensive demographic estimates reported here will enable researchers, policy makers, health practitioners, and other key stakeholders to better understand and address the profound changes that have occurred in the global health landscape following the first 2 years of the COVID-19 pandemic, and longer-term trends beyond the pandemic