Model Penerapan Knowledge Management System Untuk Penyusunan Tugas Akhir Berbasis Teknologi Mobile Menggunakan J2me (Studi Kasus STMIK Subang)

Knowledge management system merupakan dalil siklus dari knowledge creation, knowledge retention, knowledge sharing, knowledge utilization dan implementasi dari transformasi tacit to tacit (sosialization), tacit to explicit (externalization), explicit to explicit (combination) dan explicit to tacit (internalization). Perguruan tinggi adalah tempat penciptaan, penghimpunan dan penyebaran knowledge. Akan tetapi permasalahan terbatasnya ruang dan waktu membuat pengelolaan knowledge yang ada belum maksimal. Dengan model penerapan knowledge mangement system untuk penyusunan tugas akhir maka terjadi diskusi antara mahasiswa, dosen dan alumni untuk menciptakan dan berbagi knowledge dapat dilakukan, sehingga permasalahan terbatasnya ruang dan waktu dapat teratasi

PENGARUH KREATIVITAS DAN GAYA BELAJAR TERHADAP HASIL TUGAS AKHIR SISWA MATA PELAJARAN PENGOPERASIAN DAN PERAKITAN SISTEM KENDALI DI SMKN 2 YOGYAKARTA

PENGARUH KREATIVITAS DAN GAYA BELAJAR TERHADAP HASIL TUGAS AKHIR SISWA MATA PELAJARAN PENGOPERASIAN DAN PERAKITAN SISTEM KENDALI DI SMKN 2 YOGYAKARTA Oleh Andreas E. A. Wijaya NIM. 09501244031 ABSTRAK Penelitian ini bertujuan untuk mengetahui (1) kreativitas siswa, (2) kecenderungan gaya belajar siswa, (3) hasil tugas akhir siswa, (4) pengaruh kreativitas siswa terhadap hasil tugas akhir siswa, (5) pengaruh gaya belajar visual terhadap hasil tugas akhir siswa, (6) pengaruh gaya belajar auditorial terhadap hasil tugas akhir siswa, (7) pengaruh gaya belajar kinesthetic terhadap hasil tugs akhir siswa dan (8) pengaruh kreativitas dan gaya belajar secara bersama-sama terhadap hasil tugas akhir siswa program keahlian teknik instalasi tenaga listrik di SMKN 2 Yogyakarta Daerah Istimewa Yogyakarta. Metode penelitian ini menggunakan pendekatan expost facto. Subjek penelitian ini yaitu siswa kelas XII program keahlian Teknik Instalasi Tenaga Listrik SMKN 2 Yogyakarta Tahun Pelajaran 2013/2014. Penelitian ini terdiri dari dua variabel (X) yaitu: kreativitas siswa (X1) dan gaya belajar (X2) yang dibagi menjadi gaya belajar visual , gaya belajar auditorial dan gaya belajar kinesthetic , tersebut adalah sebagai variabel bebas, dan hasil tugas akhir siswa (Y) sebagai variabel terikat. Metode pengumpulan data menggunakan angket terbuka dan penilaian oleh peneliti dengan skala likert. Validitas instrumen dilakukan dengan expert judgement. Teknik analisis data dilakukan dengan regresi linier sederhana dan uji beda menggunakan anova. Pengujian signifikansi koefisien korelasi secara individu dilakukan dengan uji-t, sedangkan uji beda menggunakan uji-F. Hasil penelitian menunjukkan bahwa: (1) kreativitas berpengaruh positif dan signifikan terhadap hasil tugas akhir siswa dengan koefisien regresi sebesar 0,680, (2) tidak terdapat perbedaan yang signifikan antara jenis-jenis gaya belajar terhadap hasil tugas akhir yang dibuat oleh siswa (3) kecenderungan gaya belajar siswa berturut-turut dari yang paling tinggi adalah gaya belajar visual 40 siswa, gaya belajar kinesthetic 33 siswa dan gaya belajar auditorial 20 siswa (4) rerata skor gaya belajar visual 21,75, gaya belajar auditorial 21,45 dan gaya belajar kinesthetic 22,18. Kata kunci: hasil tugas akhir, kreativitas, gaya belajar visual, auditory & kinestheti

Sequencing error correction without a reference genome

Background: Next (second) generation sequencing is an increasingly important tool for many areas of molecular biology, however, care must be taken when interpreting its output. Even a low error rate can cause a large number of errors due to the high number of nucleotides being sequenced. Identifying sequencing errors from true biological variants is a challenging task. For organisms without a reference genome this difficulty is even more challenging. Results: We have developed a method for the correction of sequencing errors in data from the Illumina Solexa sequencing platforms. It does not require a reference genome and is of relevance for microRNA studies, unsequenced genomes, variant detection in ultra-deep sequencing and even for RNA-Seq studies of organisms with sequenced genomes where RNA editing is being considered. Conclusions: The derived error model is novel in that it allows different error probabilities for each position along the read, in conjunction with different error rates depending on the particular nucleotides involved in the substitution, and does not force these effects to behave in a multiplicative manner. The model provides error rates which capture the complex effects and interactions of the three main known causes of sequencing error associated with the Illumina platforms.Julie A Sleep, Andreas W Schreiber and Ute Bauman

An international observational study to assess the impact of the Omicron variant emergence on the clinical epidemiology of COVID-19 in hospitalised patients

Background: Whilst timely clinical characterisation of infections caused by novel SARS-CoV-2 variants is necessary for evidence-based policy response, individual-level data on infecting variants are typically only available for a minority of patients and settings. Methods: Here, we propose an innovative approach to study changes in COVID-19 hospital presentation and outcomes after the Omicron variant emergence using publicly available population-level data on variant relative frequency to infer SARS-CoV-2 variants likely responsible for clinical cases. We apply this method to data collected by a large international clinical consortium before and after the emergence of the Omicron variant in different countries. Results: Our analysis, that includes more than 100,000 patients from 28 countries, suggests that in many settings patients hospitalised with Omicron variant infection less often presented with commonly reported symptoms compared to patients infected with pre-Omicron variants. Patients with COVID-19 admitted to hospital after Omicron variant emergence had lower mortality compared to patients admitted during the period when Omicron variant was responsible for only a minority of infections (odds ratio in a mixed-effects logistic regression adjusted for likely confounders, 0.67 [95% confidence interval 0.61-0.75]). Qualitatively similar findings were observed in sensitivity analyses with different assumptions on population-level Omicron variant relative frequencies, and in analyses using available individual-level data on infecting variant for a subset of the study population. Conclusions: Although clinical studies with matching viral genomic information should remain a priority, our approach combining publicly available data on variant frequency and a multi-country clinical characterisation dataset with more than 100,000 records allowed analysis of data from a wide range of settings and novel insights on real-world heterogeneity of COVID-19 presentation and clinical outcome

The value of open-source clinical science in pandemic response: lessons from ISARIC

International audienc

Respiratory support in patients with severe COVID-19 in the International Severe Acute Respiratory and Emerging Infection (ISARIC) COVID-19 study: a prospective, multinational, observational study

Background: Up to 30% of hospitalised patients with COVID-19 require advanced respiratory support, including high-flow nasal cannulas (HFNC), non-invasive mechanical ventilation (NIV), or invasive mechanical ventilation (IMV). We aimed to describe the clinical characteristics, outcomes and risk factors for failing non-invasive respiratory support in patients treated with severe COVID-19 during the first two years of the pandemic in high-income countries (HICs) and low middle-income countries (LMICs). Methods: This is a multinational, multicentre, prospective cohort study embedded in the ISARIC-WHO COVID-19 Clinical Characterisation Protocol. Patients with laboratory-confirmed SARS-CoV-2 infection who required hospital admission were recruited prospectively. Patients treated with HFNC, NIV, or IMV within the first 24 h of hospital admission were included in this study. Descriptive statistics, random forest, and logistic regression analyses were used to describe clinical characteristics and compare clinical outcomes among patients treated with the different types of advanced respiratory support. Results: A total of 66,565 patients were included in this study. Overall, 82.6% of patients were treated in HIC, and 40.6% were admitted to the hospital during the first pandemic wave. During the first 24 h after hospital admission, patients in HICs were more frequently treated with HFNC (48.0%), followed by NIV (38.6%) and IMV (13.4%). In contrast, patients admitted in lower- and middle-income countries (LMICs) were less frequently treated with HFNC (16.1%) and the majority received IMV (59.1%). The failure rate of non-invasive respiratory support (i.e. HFNC or NIV) was 15.5%, of which 71.2% were from HIC and 28.8% from LMIC. The variables most strongly associated with non-invasive ventilation failure, defined as progression to IMV, were high leukocyte counts at hospital admission (OR [95%CI]; 5.86 [4.83-7.10]), treatment in an LMIC (OR [95%CI]; 2.04 [1.97-2.11]), and tachypnoea at hospital admission (OR [95%CI]; 1.16 [1.14-1.18]). Patients who failed HFNC/NIV had a higher 28-day fatality ratio (OR [95%CI]; 1.27 [1.25-1.30]). Conclusions: In the present international cohort, the most frequently used advanced respiratory support was the HFNC. However, IMV was used more often in LMIC. Higher leucocyte count, tachypnoea, and treatment in LMIC were risk factors for HFNC/NIV failure. HFNC/NIV failure was related to worse clinical outcomes, such as 28-day mortality. Trial registration This is a prospective observational study; therefore, no health care interventions were applied to participants, and trial registration is not applicable

Association of Country Income Level With the Characteristics and Outcomes of Critically Ill Patients Hospitalized With Acute Kidney Injury and COVID-19

Introduction: Acute kidney injury (AKI) has been identified as one of the most common and significant problems in hospitalized patients with COVID-19. However, studies examining the relationship between COVID-19 and AKI in low- and low-middle income countries (LLMIC) are lacking. Given that AKI is known to carry a higher mortality rate in these countries, it is important to understand differences in this population. Methods: This prospective, observational study examines the AKI incidence and characteristics of 32,210 patients with COVID-19 from 49 countries across all income levels who were admitted to an intensive care unit during their hospital stay. Results: Among patients with COVID-19 admitted to the intensive care unit, AKI incidence was highest in patients in LLMIC, followed by patients in upper-middle income countries (UMIC) and high-income countries (HIC) (53%, 38%, and 30%, respectively), whereas dialysis rates were lowest among patients with AKI from LLMIC and highest among those from HIC (27% vs. 45%). Patients with AKI in LLMIC had the largest proportion of community-acquired AKI (CA-AKI) and highest rate of in-hospital death (79% vs. 54% in HIC and 66% in UMIC). The association between AKI, being from LLMIC and in-hospital death persisted even after adjusting for disease severity. Conclusions: AKI is a particularly devastating complication of COVID-19 among patients from poorer nations where the gaps in accessibility and quality of healthcare delivery have a major impact on patient outcomes

Respiratory support in patients with severe COVID-19 in the International Severe Acute Respiratory and Emerging Infection (ISARIC) COVID-19 study: a prospective, multinational, observational study

Background: Up to 30% of hospitalised patients with COVID-19 require advanced respiratory support, including high-flow nasal cannulas (HFNC), non-invasive mechanical ventilation (NIV), or invasive mechanical ventilation (IMV). We aimed to describe the clinical characteristics, outcomes and risk factors for failing non-invasive respiratory support in patients treated with severe COVID-19 during the first two years of the pandemic in high-income countries (HICs) and low middle-income countries (LMICs). Methods: This is a multinational, multicentre, prospective cohort study embedded in the ISARIC-WHO COVID-19 Clinical Characterisation Protocol. Patients with laboratory-confirmed SARS-CoV-2 infection who required hospital admission were recruited prospectively. Patients treated with HFNC, NIV, or IMV within the first 24 h of hospital admission were included in this study. Descriptive statistics, random forest, and logistic regression analyses were used to describe clinical characteristics and compare clinical outcomes among patients treated with the different types of advanced respiratory support. Results: A total of 66,565 patients were included in this study. Overall, 82.6% of patients were treated in HIC, and 40.6% were admitted to the hospital during the first pandemic wave. During the first 24 h after hospital admission, patients in HICs were more frequently treated with HFNC (48.0%), followed by NIV (38.6%) and IMV (13.4%). In contrast, patients admitted in lower- and middle-income countries (LMICs) were less frequently treated with HFNC (16.1%) and the majority received IMV (59.1%). The failure rate of non-invasive respiratory support (i.e. HFNC or NIV) was 15.5%, of which 71.2% were from HIC and 28.8% from LMIC. The variables most strongly associated with non-invasive ventilation failure, defined as progression to IMV, were high leukocyte counts at hospital admission (OR [95%CI]; 5.86 [4.83–7.10]), treatment in an LMIC (OR [95%CI]; 2.04 [1.97–2.11]), and tachypnoea at hospital admission (OR [95%CI]; 1.16 [1.14–1.18]). Patients who failed HFNC/NIV had a higher 28-day fatality ratio (OR [95%CI]; 1.27 [1.25–1.30]). Conclusions: In the present international cohort, the most frequently used advanced respiratory support was the HFNC. However, IMV was used more often in LMIC. Higher leucocyte count, tachypnoea, and treatment in LMIC were risk factors for HFNC/NIV failure. HFNC/NIV failure was related to worse clinical outcomes, such as 28-day mortality. Trial registration This is a prospective observational study; therefore, no health care interventions were applied to participants, and trial registration is not applicable