Correlation between metacognitive strategies and listening comprehension of 4th semester english department student at IAIN Palangkaraya

The aims of conducting this research were; (1) to find out how Metacognitive awareness strategies are applied by 4th semester students of IAIN Palangkaraya in the learning process; (2) to find out How is the 4th semester students of IAIN Palangkaraya listening ability; and (3) to find out is there the correlation between metacognitive strategy and listening comprehension. The research used correlation research. There were 66 students of 4th semester students from English Education study program at IAIN Palangkaraya as the population of this research. There were 63 students participated in this research and the other were absent when conducting this research. The sample of this study was taken by using total population sampling and purposive sampling technique. Data were collected using three instruments; MALQ (Metacognitive Awareness Listening Questionnaire), Listening TOEFL test core and interview. The data were analyzed by using pearson product moment correlation coefficient. The result showed that r-obtained ( -0.127) was lower than r-table (0.248), then the level of probability (p) significance (sig.2-tailed) was .321. subsequently, p value (.321) was higher than 0.05. it means that the Null Hypothesis is accepted and the Alternative Hypothesis is rejected. From the research findings showed that there is no correlation of metacognitive strategies on listening comprehension. It means that students’ metacognitive strategies is not a dominant factor that affect listening comprehension. ABSTRAK Tujuan dari dilakukannya penelitian ini adalah; (1) untuk mengetahui bagaimana strategi kesadaran metakognisi yang diterapkan oleh mahasiswa semester 4 IAIN Palangkaraya dalam proses pembelajaran; (2) untuk mengetahui Bagaimana pemahaman mendengarkan mahasiswa semester 4 IAIN Palangkaraya; dan (3) untuk mengetahui hubungan antara strategi metakognisi dan pemahaman mendengarkan. Penelitian ini menggunakan penelitian korelasi. Terdapat 66 mahasiswa semester 4 dari Program Studi Pendidikan Bahasa Inggris di IAIN Palangkaraya sebagai populasi penelitian ini. Ada 63 siswa yang berpartisipasi dalam penelitian ini dan yang lainnya tidak hadir ketika melakukan penelitian ini. Sampel penelitian ini diambil dengan menggunakan total populasi sampling dan teknik purposive sampling. Data dikumpulkan menggunakan tiga instrumen; MALQ (Metakognitif Awareness Listening Questionnaire), skor tes TOEFL dan tes wawancara. Data dianalisis dengan menggunakan koefisien korelasi product moment Pearson. Hasil r-diperoleh menunjukkan (-0,127) lebih rendah dari r-tabel (0,248), maka tingkat probabilitas (p) signifikansi (sig.2-tailed) adalah .321. selanjutnya, nilai p (.321) lebih tinggi dari 0,05. itu berarti bahwa Hipotesis Null diterima dan Hipotesis Alternatif ditolak. Dari temuan penelitian tentang pemahaman mendengarkan, berarti bahwa strategi metakognisi mahasiswa bukanlah factor dominan yang mempengaruhi pemahaman mendengarkan mahasiswa

Correlation between metacognitive strategies and listening comprehension of the 4th semester students of English department at IAIN Palangka Raya

The purposes of this research are (1) to find out how metacognitive awareness strategies applied by 4th semester students of IAIN Palangka Raya in the learning process; (2) to find out the listening ability of 4th semester students of IAIN Palangka Raya; and (3) to find out whether or not there is correlation between metacognitive strategy and listening comprehension. The research belongs to the quantitative approach, and the design is correlation study. There are 63 students as the samples of this research that taken by using total sampling and purposive sampling technique. The data are collected by using three instruments, they are MALQ (Metacognitive Awareness Listening Questionnaire), Listening TOEFL score and interview. The data are analyzed by using pearson product moment correlation coefficient. The result showed that r-obtained (-0.127) is lower than r-table (0.248), then the level of probability (p) significance (sig.2-tailed) is .321. Subsequently, p value (.321) is higher than 0.05. Then, it means that there is no correlation between metacognitive strategies and listening comprehension. On the other words, students’ metacognitive strategies are not a dominant factor that affect their listening comprehension

Pendidikan Kesehatan Pencegahan ISPA (Infeksi Saluran Pernafasan Akut)

Acute Respiratory Infection (ARI) is the most common infectious disease causing morbidity and mortality worldwide. The prevalence rate of ARI in Indonesia is 9.3%. Prevalence of ARI based on the diagnosis of health workers in Jambi Province was 5.5%, while the prevalence of ARI in Jambi City was 6.25%.  One of the efforts that can be made to reduce ARI transmission is to increase knowledge about ARI prevention. Increasing knowledge can be done through health education activities. This community service aims to provide information about ARI disease. This activity utilized slide and leaflet media and was attended by 25 participants. It is hoped that the results of this activity can be useful for participants to prevent ARI disease.Infeksi Saluran Pernafasan Akut (ISPA) adalah penyakit menular yang paling sering menyebabkan kematian (morbiditas) dan kesakitan (mortalitas) di seluruh dunia. Angka prevalensi ISPA di Indonesia berada di angka 9,3%. Prevalensi ISPA berdasarkan diagnosis tenaga kesehatan di Provinsi Jambi berada pada angka 5,5%, sedangkan prevalensi ISPA di Kota Jambi berada pada angka 6,25%.  Salah satu upaya yang dapat dilakukan untuk menurunkan penularan ISPA adalah peningkatan pengetahuan mengenai pencegahan ISPA. Peningkatan pengetahuan dapat dilakukan melalui kegiatan pendidikan kesehatan. Pengabdian masyarakat ini bertujuan untuk memberikan informasi mengenai penyakit ISPA. Kegiatan ini memanfaatkan media slide dan leaflet dan diikuti oleh 25 peserta. Diharapakan hasil kegiatan ini dapat bermanfaat bagi peserta guna pencegahan penakit ISPA

At-admission prediction of mortality and pulmonary embolism in an international cohort of hospitalised patients with COVID-19 using statistical and machine learning methods

By September 2022, more than 600 million cases of SARS-CoV-2 infection have been reported globally, resulting in over 6.5 million deaths. COVID-19 mortality risk estimators are often, however, developed with small unrepresentative samples and with methodological limitations. It is highly important to develop predictive tools for pulmonary embolism (PE) in COVID-19 patients as one of the most severe preventable complications of COVID-19. Early recognition can help provide life-saving targeted anti-coagulation therapy right at admission. Using a dataset of more than 800,000 COVID-19 patients from an international cohort, we propose a cost-sensitive gradient-boosted machine learning model that predicts occurrence of PE and death at admission. Logistic regression, Cox proportional hazards models, and Shapley values were used to identify key predictors for PE and death. Our prediction model had a test AUROC of 75.9% and 74.2%, and sensitivities of 67.5% and 72.7% for PE and all-cause mortality respectively on a highly diverse and held-out test set. The PE prediction model was also evaluated on patients in UK and Spain separately with test results of 74.5% AUROC, 63.5% sensitivity and 78.9% AUROC, 95.7% sensitivity. Age, sex, region of admission, comorbidities (chronic cardiac and pulmonary disease, dementia, diabetes, hypertension, cancer, obesity, smoking), and symptoms (any, confusion, chest pain, fatigue, headache, fever, muscle or joint pain, shortness of breath) were the most important clinical predictors at admission. Age, overall presence of symptoms, shortness of breath, and hypertension were found to be key predictors for PE using our extreme gradient boosted model. This analysis based on the, until now, largest global dataset for this set of problems can inform hospital prioritisation policy and guide long term clinical research and decision-making for COVID-19 patients globally. Our machine learning model developed from an international cohort can serve to better regulate hospital risk prioritisation of at-risk patients