Yeni Purnamasari, Yeni
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DETERMINANTS AFFECTING THE DEPRESSION OF INFARCTION POST STROKE PATIENTS IN (SAIFUL ANWAR HOSPITAL MALANG) Munir, Badrul; Nasution, Arief Alamsyah; Purnamasari, Yeni
Malang Neurology Journal Vol 2, No 2 (2016): July
Publisher : Malang Neurology Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (410.464 KB) | DOI: 10.21776/ub.mnj.2016.002.02.3

Abstract

Background. Stroke is a functional disorder of the brain that occurs suddenly with signs and symptoms of both focal and global clinical lasting more than 24 hours, or can lead to death due to circulatory disorders of the brain. Stroke ranks third leading cause of death in Indonesia. Someone with stroke will leading mood disruption that would cause a depression. Objective. To determine the effect on depression of stroke infarction.Methods. The study used descriptive analytic cross-sectional study. 42 samples was selected by consecutive method. The distribution of the sample are 18 males and 24 females, 23 samples below 60 years and 19 samples over 60 years, 13 samples had duration of suffering a stroke less than 6 months and 29 samples above 6 months. The independent variables in this study were age, sex, and duration of suffering a stroke, while the depression is the dependent variable. Depression was assessed using the Hamilton Depression Rating Scale (HDRS). Results. The results used logistic regression test obtained value of (p = 0.021) is significant in age.Conclusion. The age is the determinant affecting the quality of life after stroke infarction.
ANALISIS PENGARUH INSTRUMEN PEMBAYARAN NON-TUNAI TERHADAP STABILITAS SISTEM KEUANGAN DI INDONESIA Lintangsari, Nastiti Ninda; Hidayati, Nisaulfathona; Purnamasari, Yeni; Carolina, Hilda; Ramadhan, Wiangga Febranto
JURNAL DINAMIKA EKONOMI PEMBANGUNAN Vol 1, No 1 (2018): April
Publisher : Fakultas Ekonomika dan Bisnis, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (804.088 KB) | DOI: 10.14710/jdep.1.1.47-62

Abstract

The payment system is an important component in the economy especially to ensure the implementation of payment transactions made by the public and the business world. In addition, the payment system also plays an important role in supporting financial system stability and implementation of monetary policy. Along with rapid technological developments, patterns and payment systems in economic transactions are constantly changing. Technological advances in the payment instruments shift the role of cash as a means of payment in the form of more efficient and economical non-cash payments. Non-cash payment instruments used in this study are card-based payment instruments (APMK) and electronic money (e-money). The aim of this study is to examine the effect of non-cash payment instruments development on money supply (M1), velocity of money, inflation, interest rate, and financial system stability. A set of secondary data are assessed through official website of Bank Indonesia from year 2009-2017. Multiple regression analysis are employed to elaborate the results. The result showed that e-money and credit card transactions have a significant positive effect on M1, e-money transactions have a significant negative effect on interest rates, and credit card transactions have a significant positive effect on interest rates.
DETERMINAN PROFITABILITAS BANK UMUM DI INDONESIA (Studi Kasus: Bank Kategori BUKU 4) Purnamasari, Yeni
JURNAL DINAMIKA EKONOMI PEMBANGUNAN Vol 2, No 1 (2019): April
Publisher : Fakultas Ekonomika dan Bisnis, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (929.38 KB) | DOI: 10.14710/jdep.2.1.1-14

Abstract

This study aims to analyze the determinant of banking profitability, which is influenced by internal factors and external factors. This study focus on the impact of internal factors (CAR, NPL, and LDR) and external factors (BI rate and money supply) on bank profitability which is proxied by Return on Assets (ROA). The sample used bank category BUKU 4, with period from 2008 to 2017. The method used in this study is Fixed Effect Method (FEM). The empirical result shows that internal factors (NPL and LDR) have a significant effect on ROA, while CAR had no significant effect on ROA. External factors, BI rate and money supply also have a significant effect on ROA.