Pengaruh Operating Capacity, Sales Growth, Arus Kas dan Leverage Terhadap Financial Distress

This research was conducted the empirically prove the factors that influence Financial Distress by using the variables operating capacity, sales growth, cash flow, and leverage in transportation companies listed on the Indonesia Stock Exchange in 2015–2020. This type of research is quantitative research with sampling technique using purposive sampling method, namely the selection of samples with criteria determined by the researcher. The method used in this study uses multiple linear regression with the help of the SPSS version 25 program. The results in this study indicate that operating capacity has a positive effect on financial distress, which means that a low operating capacity value will cause financial distress. Sales growth and cash flow do not effect financial distress, which means the size of the value of sales growth and cash flow does not affect the occurrence of financial distress. Leverage has a positive effect on financial distress, which means that the high value of debt will cause financial distress.

Profitability As Determining Factor to Anticipate Company Bankruptcy

The purpose of this study is to find out the effect of liquidity, leverage, operating capacity on financial distress through profitability as intervening variable. The population of this study is manufacturing companies listed on the IDX over the sampling. Based on the technique purposive sampling, obtained sample of 123 data from 54 manufacturing companies on IDX list from 2016 until 2018. This study uses path analysis using Warp PLS 5.0 software and Sobel test to find significancy of mediating variable. The results of this study indicate that profitability and leverage have a significant effect on the financial distress of manufacturing companies. Meanwhile, liquidity, and operating capacity have no effect on the financial distress of manufacturing companies. The intervening test confirmed that profitability have partial mediation role for relationship between liquidity, leverage, operating capacity with financial distress. Furthermore, the Sobel test also confirmed that profitability can significantly mediate the effect of liquidity, leverage and operating capacity on financial distress.

EP.TU.216Golden Patient Protocol: A Closed Loop Audit

Introduction Identifying a ‘Golden Patient’ the proceeding day improves emergency theatre efficiency and overall operating capacity. Aim Use this strategy to improve theatre efficiency in our Regional Plastic Surgery Department. Methods Cycle one: Interventions: Cycle two: Cycle three: Results Cycle one: Cycle two: Cycle three: Conclusions Use of the ‘Golden Patient’ protocol improves emergency theatre efficiency with subsequent effect on overall operating capacity.

FAKTOR DETERMINAN FINANCIAL DISTRESS UNTUK PERUSAHAAN PERTAMBANGAN DI INDONESIA DAN MALAYSIA

Abstrak: Faktor determinan Financial Distress Untuk Perusahaan Pertambangan Di Indonesia dan Malaysia. Studi ini bermaksud untuk mengetahui dampak likuiditas, leverage, operating capacity, instittutional ownership, managerial ownership, sertakomisaris independen padaFinancial Distress. Penelitian ini memakai penelitian deskriptif. Populasi serta sampel pada studi ialah perseroan sektor pertambangan yang tercatat di BursaEfek Indonesia dan Bursa Malaysia 2014-2018. Studi ini memakai purposive sampling serta diperoleh 12 perseoran di Indonesia dan 22 perseroan di Malaysia. Olah data yang dipakai studi ini memakai logistic regression. Studi menunjukkan pada perseroan pertambangan di Indonesia bahwa operatingcapacity scara parsial mempunyai pengaruh signifikan negatif pada financial distress. Sedangkan liquidity ,leverage, institutional ownership, managerial ownership, dan independent comissioner secara parsial tidak mempunyai pengaruh pada financial distress. Kemudian pada perseroan pertambangan di Malaysia menunjukkan bahwa liquidity, Managerial Ownership, dan Independent Commissioner secara parsial mempunyai pengaruh signifikan negatif pada financial distress. Sedangkan operating capacity,leverage, dan Institutional Ownership secara parsial tidak mempunyai pengaruh pada financial distress.Kata kunci: Liquidity, Leverage, OperatingCapacity, Institutional Ownership, Managerial Ownership, Independent Commissioner, Financial DistressAbstract: Determinants ofFinancial Distressfor Mining Companies in Indonesia and Malaysia. Research intend todetermine the impact ofliquidity, leverage, operatingcapacity, institutional ownership, managerialownership, and independent commissioner onfinancial distress. This research uses descriptive research. Thepopulation and sample are miningsector firm registered onthe IDX and Malaysia Exchange 2014-2018. This study uses purposivesamplingmethod acquired 12 companies in Indonesia and 22 companies in Malaysia. The data processing techniques used logisticregression. Research showed mining companies in Indonesia that their operating capacityhas a negative impact on financial distress. Whereas, liquidity,leverage, institutionalownership, managerialownership, and the independentcommissioner didn’t have affects onfinancial distress. Then the mining companies in Malaysia showed that liquidity, Managerial Ownership, and Independent Commissionerhave a negative impact onfinancial distress. Meanwhile, operating capacity, leverage, and institutional ownership didn’t have affects on financial distress.Keywords: Liquidity, Leverage, OperatingCapacity, Institutional Ownership, Managerial Ownership, Independent Commissioner, Financial Distress

Faktor-Faktor Yang Mempengaruhi Financial Distress

This study aims to analyze the influence of operating cash flow, leverage, liquidity, operating capacity, profitability and sales growth on the financial distress of Property and Real Estate companies on the Indonesia Stock Exchange (IDX) 2015-2019. This research is a type of quantitative research using secondary data. The sample in this study obtained as many as 26 companies, in the case of the method used is purposive sampling which is a sampling method by determining the criteria that have been determined. The data analysis method used multiple linear regression. The results of the F test show that operating cash flow, leverage, liquidity, operating capacity, profitability, and sales growth variables simultaneously affect financial distress. However, in testing the hypothesis (t-test) the operating cash flow, operating capacity, profitability and sales growth variables have no effect on financial distress, while the leverage and liquidity variables have a significant and negative effect on financial distress

535 Private Trauma Lists: A Pragmatic Panacea During This Pandemic

Introduction COVID-19 has disrupted the efficiency of hospitals nationwide. Ambulant trauma surgery was minimised to reduce risk of contracting COVID-19. Operating capacity significantly reduced and surgical training dramatically curtailed. Locally, a private hospital has been utilised as a green site with consultant-lead trauma lists. Our aim is to review the safety and efficiency of this service. Method Patients underwent pre-assessment, COVID-19 swabs and 7 days isolation pre and post-op. Staff also underwent swabbing. Prospectively data was gathered for all patients operated on at this site from 12/05/2020 to 20/08/2020. Records reviewed for readmission, complications and COVID status. A satisfaction questionnaire was sent to trainees who operated at this site. Results 79 operations were completed during this period. 50 male and 29 female, average age 49, average ASA 2. No complications or COVID-19 infections were recorded. Mean time to theatre was 18 days. Delays to theatre led to 2 complications. 87% of trainees felt training was maintained. Conclusions Establishing a green site enabled efficient and safe management whilst still facilitating surgical training. This requires clear guidelines for staff and patients. We believe this model can help trauma service provision as the pandemic evolves.

Analisis Potensi Financial Distress Industri Pertambangan di Asia Tenggara

The purpose of this study is to analyze the effect of profitability ratio, liquidity ratio, leverage ratio, and operating capacity ratio on financial distress potential. The population in this study are mining companies listed on the Asia Tenggara Stock Exchange in the period 2017-2019. The sample in this study amounted to 140 samples obtained from 84 companies for 3 years with a purposive sampling method. The analysis technique in this study is panel data regression analysis using eviews 9. The results showed that profitability did no influenced the finacial distress potential, liquidity ratio did no influenced the finacial distress potential, leverage ratio did no influenced the finacial distress potential, and operating capacity ratio has a negative effect on finacial distress potential.

DuPont analysis was used to evaluate the operation of non-profit medical institutions in Chongqing

It has been nearly eleven years since the reform of China’s medical and health system entered the final sprint stage in early 2008. During this period, great changes have taken place in China’s medical system, which has had a huge impact on the operation of public hospitals in China. This paper analyzes the key financial indicators of public hospitals in Chongqing from 2007 to 2017, including revenue and expenditure situation and structure, assets and liabilities situation and structure, finds out the problems in operation and puts forward suggestions. The key financial indicators of public hospitals in Chongqing were analyzed and evaluated by trend analysis, ratio analysis and DuPont analysis. The total revenue and expenditure of public hospitals in Chongqing increases with GDP year by year, the structure of revenue and expenditure has changed greatly, the debt level is reasonable, and the operating capacity is at a low level. The balance of drug revenue and expenditure in public hospitals is unbalanced, so it is necessary to strengthen the implementation of drug price adjustment plan; Public hospitals should strengthen the cost control, especially the cost control of drug expenditure, in order to meet the requirements of national policies and improve their own operating capacity.

Analisis Pengaruh Profitabilitas, Likuiditas, Operating Capacity, Sales Growth Terhadap Kondisi Financial Distress pada Perusahaan Manufaktur yang Terdaftar di Bursa Efek Indonesia Tahun 2015-2018

Penelitian ini bertujuan untuk menguji pengaruh profitabilitas, likuiditas, operating capacity dan sales growth terhadap financial distress. Penelitian ini difokuskan pada perusahaan manufaktur yang terdaftar di Bursa Efek Indonesia (BEI) periode 2015-2018. Jumlah pengamatan sebanyak 172 sampel penelitian yang diperoleh dengan metode nonprobability sampling yaitu teknik purposive sampling. Teknik analisis yang digunakan dalam penelitian ini adalah analisis regresi logistik. Berdasarkan hasil analisis menunjukkan bahwa: (1) Profitabilitas berpengaruh negatif dan signifikan terhadap financial distress. Hal ini berarti bahwa semakin tinggi profitabilitas maka dapat menekan terjadinya kondisi financial distress. (2) Likuiditas berpengaruh negatif dan signifikan terhadap financial distress. Hal ini menunjukkan bahwa semakin besar adanya ketersediaan atau kecukupan dana untuk memenuhi kewajibannya, maka semakin kecil kemungkinan perusahaan mengalami kondisi financial distress yang mengakibatkan pada kebangkrutan. (3) Operating Capacity berpengaruh negatif dan signifikan terhadap financial distress. Hal ini menunjukan bahwa semakin rendah penjualan perusahaan yang diakibatkan dengan penggunaan aset yang tidak efektif untuk kegiatan operasional, maka perusahaan akan rentan terhadap kondisi financial distress. (4) Sales growth tidak berpengaruh terhadap kondisi financial distress. Koefisien determinasi Nagelkerke R Square sebesar 0,734 yang berarti kemampuan variabel penelitian yang diproksikan dengan return on asset, current ratio, total asset turnover ratio dan sales growth menjelaskan variabel prediksi financial distress sebesar 73.4%. Sisanya sebesar 26.6% merupakan faktor lain di luar model penelitian.