Effect of Cloud Accounting as Income Statement on Accountant Performance

A simple and secure security accounting system is a system needed by various large and small companies where of course the company is never separated from accounting in order to process financial expenditures and revenues owned by companies that have a purpose to make a profit. Efforts to achieve success in a company can be seen from financial management which can be monitored and can be managed properly so that finance can be controlled well too, for that accuracy is an important role so with the company's cloud accounting it can be easier to monitor and also manage financial well, so it will be easier to make income / loss statements. cloud accounting provides a user friendly look that can certainly facilitate users. The purpose of this study is so that companies can pay more attention to monitoring and managing finances well so that it can facilitate the making of income statement . In this study took place used observational research methods and field library studies so that the system made can meet the existing needs of the company

Obat Tradisional

Pengobatan tradisional adalah merupakan obat yang paling sering dipakai oleh masyarakat pada umumnny

Fungsi Edukatif Perpustakaan dalam Mengembangkan Kreativitas Pemustaka di Kantor Perpustakaan dan Arsip Daerah Kota Salatiga

Penelitian ini berjudul “Fungsi Edukatif Perpustakaan dalam Mengembangkan Kreativitas Pemustaka di Kantor Perpustakaan dan Arsip Daerah Kota Salatiga.” Tujuan dari penelitian ini adalah untuk mengkaji sejauhmana kontribusi perpustakaan dalam mengembangkan kreativitas pemustaka di Kantor Perpustakaan dan Arsip Daerah Kota Salatiga. Metode yang digunakan dalam penelitian ini adalah penelitian deskriptif dengan bentuk studi kasus, karena penulis ingin mendapatkan deskripsi atau gambaran yang tepat mengenai situasi tertentu yaitu pelaksanaan fungsi edukatif perpustakaan dalam mengembangkan kreativitas pemustaka di Kantor Perpustakaan dan Arsip Daerah Kota Salatiga. Teknik pengumpulan data dilakukan melalui dokumentasi dan wawancara terstruktur dengan enam orang informan. Penetapan informan menggunakan teknik purposive sampling. Teknik analisis data yang digunakan model Miles and Huberman yang meliputi data reduction (reduksi data), data display (penyajian data), dan conclusion drawing/verification (kesimpulan/verifikasi). Kredibilitas penelitian yang digunakan adalah Perpanjangan pengamatan, meningkatkan ketekunan, Menggunakan bahan referensi, dan mengadakan member chek. Hasil penelitian menunjukan bahwa pelaksanaan fungsi edukatif di perpustakaan melalui pemanfaatan koleksi dan layanan internet berperan dalam mengembangkan kreativitas pemustaka di Kantor Perpustakaan dan Arsip Daerah Kota Salatiga. Hal ini dibuktikan dengan munculnya kreativitas pemustaka yaitu gagasan untuk berwirausaha, pola pikir baru yang diaplikasikan dalam kehidupan, produk baru berupa tulisan baik dalam bentuk lembaran maupun buku tercetak, serta penyelesaian tugas akademis yang merupakan pengembangan dari informasi yang terdapat dari koleksi maupun layanan internet. Kendala pelaksanaan fungsi edukatif terletak pada kuantitas Sumber Daya Manusia (SDM) yang kurang, sehingga menghambat upaya pengembangan kreativitas secara lebih aktif

Penerapan Media E-journal Menggunakan Sistem Ijc Berbasis Ojs di Stt Yuppentek

Pada teknologi yang berkembang saat ini sudah mampu menyajikan informasi yang informatif dan sangat mudah untuk didapatkan berupa elektronik. Namun pada STT YUPPENTEK dalam pengelolaan jurnal atau karya ilmiah lainnya masih menggunakan cara konvensional atau manual sehingga menimbulkan beberapa permasalahan yaitu pada saat proses terbit jurnal membutuhkan waktu yang cukup lama, karena sudah terlalu lama data – data menjadi terpisah – pisah dan dari segi biayapun membutuhkan biaya yang cukup besar, dalam pengelolaan karya ilmiahnya pun belum memenuhi syarat yang ditentukan oleh dikti dengan perihal akreditas jurnal yang mengharuskan jurnal dikelola secara online karena dengan begitu akan lebih mudah dan cepat. Dengan adanya iJC (iLearning Journal Center) dapat mempublikasikan jurnal secara online, memudahkan pengguna untuk submit jurnal, mengubah pengelolaan e-journal menjadi lebih terdistribusi dan dapat mempermudah proses penyerahan naskah, review, edit, sampai dengan tahap publikasi serta dengan menggunakan iJC (iLearning Journal Center) akan menghasilkan e-journal yang berkualitas. Pada penelitian ini peneliti menggunakan beberapa metode yaitu metode observasi, wawancara, dan studi pustaka serta menggunakan UML (Unified Modeling Language)

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

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

ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19

The International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) COVID-19 dataset is one of the largest international databases of prospectively collected clinical data on people hospitalized with COVID-19. This dataset was compiled during the COVID-19 pandemic by a network of hospitals that collect data using the ISARIC-World Health Organization Clinical Characterization Protocol and data tools. The database includes data from more than 705,000 patients, collected in more than 60 countries and 1,500 centres worldwide. Patient data are available from acute hospital admissions with COVID-19 and outpatient follow-ups. The data include signs and symptoms, pre-existing comorbidities, vital signs, chronic and acute treatments, complications, dates of hospitalization and discharge, mortality, viral strains, vaccination status, and other data. Here, we present the dataset characteristics, explain its architecture and how to gain access, and provide tools to facilitate its use