Model Regresi Weibull pada Data Waktu Rawat Inap Pasien COVID-19 di RSUD Abdul Wahab Sjahranie Samarinda

The Weibull regression model is a Weibull distribution that is directly influenced by covariates. The Weibull regression model discussed in this study was the Weibull survival and the Weibull hazard regression model. The Weibull regression model in this study was applied to the hospitalization time data of COVID-19 patients from May to September 2021 at the RSUD Abdul Wahab Sjahranie Samarinda. The event of the study is recovery of patient. This study aims to obtain Weibull survival and hazard regression model to the hospitalization time data of Covid-19 patients, to obtain the factors that affect the chance of not recovering (survive) and the recovery rate of Covid-19 patients, and also to interpret Weibull survival and hazard regression models based on the obtained model. In this study, the Maximum Likelihood Estimation (MLE) was used as the parameter estimation method. The closed form of the Maximum Likelihood (ML) estimator cannot be found analytically, and the approximation of ML estimator was found using Newton-Raphson iterative method. Based on the test results, the factors that influence the chance of not recovering and the recovery rate of COVID-19 patients were comorbidities history. The chance of not not recovering (survive) for patients who have a history of comorbidities is greater than the chance of not recovering (survive) for patients who have no history of comorbidities. The recovery rate for COVID-19 patients who have a history of comorbidities is 0,5358 times the recovery rate for patients without a history of comorbidities.Model regresi Weibull adalah distribusi Weibull yang dipengaruhi langsung oleh kovariat. Model regresi Weibull yang dibahas pada penelitian ini adalah model regresi survival Weibull dan model regresi hazard  Weibull. Model regresi Weibull pada penelitian ini diaplikasikan pada data waktu rawat inap pasien COVID-19 di RSUD Abdul Wahab Sjahranie Samarinda periode Mei-September 2021. Event pada penelitian ini adalah kesembuhan pasien. Tujuan penelitian ini adalah memperoleh model regresi survival dan regresi hazard Weibull pada data waktu rawat inap pasien COVID-19, mengetahui faktor-faktor yang memengaruhi peluang tidak sembuh dan laju kesembuhan pasien COVID-19, serta menginterpretasikan model regresi survival dan model regresi hazard Weibull berdasarkan model yang diperoleh. Metode penaksiran parameter adalah Maximum Likelihood Estimation (MLE). Kesimpulan penelitian ini adalah penaksir eksak Maximum Likelihood (ML) tidak dapat ditemukan secara analitikal dan hampiran penaksir ML ditemukan menggunakan metode iteratif Newton-Raphson. Berdasarkan hasil pengujian hipotesis ditemukan bahwa faktor-faktor yang berpengaruh terhadap peluang tidak sembuh dan laju kesembuhan pasien COVID-19 adalah riwayat komorbiditas

Virtual flipped classroom: English as a second language (ESL) learners’ decision-making styles in academic reading

One online pedagogical approach that has gained traction in the recent Covid-19 pandemic is the Flipped Learning approach. This approach is seen as a solution to navigate education during and after the pandemic due to its student-centric nature that foster deeper understanding and encourages active learning especially for English as a Second Language (ESL) learners. By flipping the traditional classroom structure, ESL learners have the access to view online lectures and materials from home, then spend in-class time participating in activities and discussions to apply and strengthen their English language skills. However, one important aspect that has to be addressed to guarantee that remote ESL learners are prepared for virtual flipped learning is to understand their decision-making styles especially while learning academic reading skills. Resistance to reading compliance may hinder the language teaching and learning process during virtual flipped classes. ESL learners who do not read, will find it difficult to actively participate in VFC for academic reading skills because the nature of it involves intellectual discussions. The knowledge on learners’ decision-making styles is important for VFC instructors to provide detailed guidance and support the remote ESL learners to achieve meaningful academic reading skills that may impact their academic success. This paper attempts to explore English as a Second Language (ESL) learners’ decision- making styles in virtual flipped classroom for academic reading classes. The implication of this study is to assist language instructors to further understand ESL learners’ decision-making styles, and how they perceive decision-making skills for virtual flipped classes to achieve meaningful learning. Also, this study provides opportunities for language instructors to develop Virtual Flipped Classroom modules for teaching language skills

Pengaruh Budaya Kaizen Terhadap Cara Kerja Perawat Di Rumah Sakit PELNI Jakarta

Budaya kaizen berasal dari Jepang dengan tujuan untuk melakukan perubahan ke arah yang lebih baik. Budaya ini banyak diterapkan dibidang industri manufaktur. Namun, kaizen juga dapat dikembangkan di bidang kesehatan salah satunya diterapkan di RS PELNI Jakarta. Sejak tahun 2015 telah menerapkan budaya kaizen untuk kelangsungan perusahaannya di era penjaminan BPJS. Penelitian ini bertujuan untuk mengetahui apakah ada pengaruh budaya kaizen yang telah diterapkan terhadap cara kerja perawat khususnya ruang rawat inap Rumah Sakit PELNI. Metode penelitian menggunakan metode deskriptif melalui pendekatan kuantitatif digunakan untuk memaparkan hubungan antara dua variabel independen budaya kaizen (X1), pemahaman budaya kaizen (X2) dengan variabel dependen Y cara kerja perawat melalui instrumen penelitian dalam bentuk kuesioner terhadap 80 responden. Hasil penelitian ini menunjukkan bahwa adanya pengaruh budaya kaizen terhadap cara kerja perawat di Rumah Sakit PELNI Jakarta yaitu mencari akar masalah hingga menyelesaikan masalah, dapat mencari alternatif dalam menyelesaikan masalah, mengarahkan perubahan kearah yang lebih baik, pekerjaan menjadi lebih mudah, terstruktur, terarah dan dapat meningkatkan kualitas

Proceedings of International Technical Postgraduate Conference 2022

This conference proceedings contains articles on the various research ideas of the academic & research communities presented at the International Technical Postgraduate Conference 2022 (TECH POST 2022) that was held at Universiti Malaya, Kuala Lumpur, Malaysia on 24-25 September 2022. TECH POST 2022 was organized by the Faculty of Engineering, Universiti Malaya. The theme of the conference is “Embracing Innovative Engineering Technologies Towards a Sustainable Future”.  TECH POST 2022 conference is intended to foster the dissemination of state-of-the-art research from five main disciplines of Engineering: Electrical Engineering, Biomedical Engineering, Civil Engineering, Mechanical Engineering, and Chemical Engineering. The objectives of TECH POST 2022 are to bring together innovative researchers from all engineering disciplines to a common forum, promote R&D activities in Engineering, and promote the dissemination of scientific knowledge and research know-how between researchers, engineers, and students. Conference Title: International Technical Postgraduate Conference 2022Conference Acronym: TECH POST 2022Conference Date: 24-25 September 2022Conference Location: Faculty of Engineering, Universiti Malaya, Kuala Lumpur Malaysia (Hybrid Mode)Conference Organizers: Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia