scholarly journals Pengaruh CAR, LDR, BOPO, dan KAP terhadap non performing loan BPR konvensional di Kota Batu sebelum dan setelah COVID-19

2021 ◽  
Vol 1 (9) ◽  
pp. 806-823
Author(s):  
Refo Putraseto ◽  
Imam Mukhlis
Keyword(s):  
Panel Data ◽  
Data Processing ◽  
Conventional Method ◽  
Significant Influence ◽  
Quantitative Research ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Before And After ◽  
The Impact ◽  
Analyze Data

This study aims to investigate the effects of CAR, LDR, BOPO, and KAP on conventional BPR NPLs in Batu City before and after COVID-19. This quantitative research employed panel data methods and descriptive analysis methods. The panel data method was used to analyze data before COVID-19 (2015-2019), while descriptive analysis was used to analyze data after COVID-19 (2020). The secondary data was also used in this study because the researchers took data in the form of official published reports obtained from the OJK official website and processed through the Eviews 9 application. Through data processing, the results showed that the CAR, LDR, and BOPO variables carries a significant influence on NPL in rural banks. Meanwhile, in conventional method in Batu City, the KAP variable does not have a significant effect on NPL. The results of descriptive analysis during the COVID-19 pandemic suggest that the NPL ratio in 2020 was above 5% and tends to increase. The increase in the NPL ratio in 2020 is because debtors have difficulty paying/paying off their obligations as a result of their declining income due to the impact of COVID-19 on various fields. Many people have been laid off, laid off, have their salaries cut, or sales have slowed as a result of COVID-19, so it affects them when they have installments at banks like conventional BPRs Abstrak Penelitian ini bertujuan untuk menganalisa pengaruh dari CAR, LDR, BOPO, dan KAP pada BPR NPLs konventional di Kota Batu, sebelum dan sesudah Covid-19. Penelitian ini menggunakan pendekatan kuantitative dengan metode data panel dan analisis deskriptif. Metode panel data digunakan untuk analisa data sebelum Covid-19 (2015-2019), sedangkan metode analisis deskriptif digunakan untuk menganalisa data setelah Covid-19 (2020). Selain itu, data sekunder juga digunakan karena penelitian ini menggunakan data dari laporan yang diterbitkan oleh OJK dan di analisa menggunakan aplikasi Eviews 9. Hasil dari analisa data menunjukan bahwa CAR, LDR, dan BOPO memberikan dampak yang signifikan kepada NPL pada bank-bank daerah. Sedangkan pada metode konvensional di Kota Batu, KAP tidak memberikan dampak yang signifikan pada NPLnya. Analisa descriptive pada masa Covid-19 menunjukkan bahwa rasio NPL pada tahun 2020 berada di atas 5% dan menunjukkan kecenderungan untuk naik. Kenaikan rasio NPL pada tahun 2020 disebabkan oleh ketidakmampuan para peminjam untuk memenuhi kewajiban mereka dikarenakan berkurangnya pendapatan mereka dikarenakan oleh Covid-19. Selain itu, banyaknya jumlah pekerja yang diberhentikan dari pekerjaan, mengalami pemotongan gaji, dan penurunan produksi dan penjualan karena Covid-19, mempengaruhi pelunasan cicilan pada bank, seperti konvensional BPR.

Pengaruh Tingkat Suku Bunga, Tingkat Bagi Hasil, Likuiditas, Inflasi, Ukuran Bank, dan Pertumbuhan Produk Domestik Bruto terhadap Deposito Mudharabah Bank Umum Syariah di Indonesia

2018 ◽  
Vol 6 (1) ◽  
pp. 1-22
Author(s):  
Akhris Fuadatis Sholikha
Keyword(s):  
Gross Domestic Product ◽  
Interest Rates ◽  
Significant Influence ◽  
Quantitative Research ◽  
Hypothesis Test ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Profit Sharing ◽  
Commercial Banking ◽  
Domestic Product

The purpose of this study is to examine the influence of interest rates, the level of profit sharing, liquidity, inflation, the size of the company, and the growth of gross domestic product simultaneously and partially on mudaraba deposits at Islamic Commercial Banking in Indonesia. This study conduct quantitative research with hypothesis testing on secondary data in term of time series on the quartely financial statements starting from the first quarter of 2011 to fourth quarter of 2014. The reserach sample is six Islamic Commercial Banking in Indonesia. The data analysis technique in this study are descriptive analysis, classical assumption test, multiple regression analysis, hypothesis test uses F test, and t test. The result showed that variable of interest rates, the level of profit sharing, liquidity, inflation, the size of the company, and the growth of gross domestic product simultaneously significant influence on mudaraba deposits at Islamic Commercial Banking in Indonesia. while partially variable of the level of profit sharing, and the size of the company positivelly significant influence on mudaraba deposits at Islamic Commercial Banking in Indonesia, but interest rates, liquidity, inflation, and the growth of gross domestic product does not  significant influence on mudaraba deposits at Islamic Commercial Banking in Indonesia.

scholarly journals DAMPAK INDUSTRI PT. GLOBAL COCONUT TERHADAP MASYARAKAT DI DESA RADEY, KECAMATAN TENGA, KABUPATEN MINAHASA SELATAN

2017 ◽  
Vol 13 (1) ◽  
pp. 99
Author(s):  
Andreas ., Rasu ◽  
Noortje Marsellanie Benu ◽  
Elsje Pauline Manginsela
Keyword(s):  
Rural Communities ◽  
Negative Impact ◽  
Descriptive Analysis ◽  
Sample Selection ◽  
Secondary Data ◽  
Primary Data ◽  
Before And After ◽  
Foul Odor ◽  
The Impact ◽  
The Village

The purpose of this study to determine the impact of the presence of Coconut Flour Industry (PT. Global Coconut) to the community in the Radey Village. This research was carried out on members of the village community Radey as respondents. Total respondents 32 people consisting of workers in the industry (25 persons), who did not work in the industry that ordinary members of community (5 persons) and community leaders (2 persons). The study lasted for 3 months from September to November 2016. The sample selection using snowballing method. Types of data collected in this study are primary and secondary data. Primary data is data obtained by direct interview to the respondents. Secondary data is obtained from the Village Office. The data collected concerning Identity Respondents, namely: (1) Name of Respondent, (2) age, expressed in units of years, (3) Level of education, measured by educational level already attained (elementary, junior high, high school, diploma, and University). Data regarding positive or negative impact of the presence of Industry on the community in the village of Radey regarding: (1) Income received before and after working in the company, (2) employment opportunities, (3) business opportunities. The analytical method used in this research is descriptive analysis method qualitative and quantitative modest presented in tabular form. The results of this research showed that the presence of PT Global Agro-Industry Plant in the Radey Village has gave positive and negative impacts for rural communities in the form of increases in income, employment and business opportunity, the new procurement of agricultural roads better and their support for the national celebration activities in the village. The negative impact of such a foul odor had happened only when the management of the rest of the selection in the form of broken coconut and waste production is not done well.Keywords: impact, agro-industry, community, village Radey, South Minahasa District

scholarly journals Efektivitas dan Kontribusi Pajak Perhotelan terhadap Pendapatan Asli Daerah Kabupaten Indragiri Hulu Tahun 2013-2019

2021 ◽  
Vol 21 (2) ◽  
pp. 669
Author(s):  
Aris Triyono ◽  
Albetris Albetris ◽  
Sumantri Sumantri ◽  
Etty Siswati
Keyword(s):  
Linear Regression ◽  
Data Processing ◽  
Multiple Linear Regression ◽  
Significant Influence ◽  
Research Method ◽  
Quantitative Research ◽  
Quantitative Method ◽  
Secondary Data ◽  
Regression Equations ◽  
Research Period

The research was conducted at the Regional Revenue Agency of Indragiri Hulu Regency. The purpose of this study is to analyze and find out how much effect the Effectiveness and contribution of Hospitality tax to the Original Revenue of Indragiri Hulu Regency both simultaneously and partially with the research period is 5 years from 2013 to 2019. This type of research is quantitative research using secondary data. The Research Method used is quantitative method with multiple linear regression equations, while the Equation is Y = 45712635725,406 - 19524572,193 X1 + 25765555,817 X2. From the results of data processing SPSS is known simultaneously known if the effectiveness and contribution of hospitality tax receipts have a significant effect on the original revenue of the region. From the SPSS results, it is known that there is partially no significant influence between effectiveness to the original revenue of the region and partially there is a significant influence between the contribution of hotel tax receipts partially to the original revenue of the region.

scholarly journals Early marriage in Yogyakarta

2020 ◽  
Vol 200 ◽  
pp. 04003
Author(s):  
Seri Aryati ◽  
Sofi Yulianti ◽  
Rahma Hardinasari
Keyword(s):  
Environmental Factors ◽  
Data Processing ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Early Marriage ◽  
Parental Supervision ◽  
Factors Associated ◽  
Economic Background ◽  
The Impact ◽  
Special Region

This research explains about the beginning of marriage in the Special Region of Yogyakarta (DIY). Using descriptive analysis to analyze secondary data collected from the Central Statistics Agency (BPS) and other related institutions, data processing uses Ms. Excel Software and presented in tables, diagrams, and graphs. This study aims to determine the factors associated with early marriage in Yogyakarta and determine the impact of early marriage. In 2018, there were 312 initial marriage dispensations approved by the DIY religious court. This figure is up from 2017 with only 294 dispensations left. Early marriage is not only caused by environmental factors and economic background. This is related to the era of globalization which makes the association of children. Information that is widely disclosed if not accompanied by reasons and parental supervision will become something as dangerous as free sex. Free sex is one of the causes of early marriage, children or adolescents who do not get a strong provision will fall into promiscuity. The impact that will arise in terms of education can be a loss of opportunities for education, other than that the impact in terms of employment will certainly be hampered due to lack of education and will have an impact on the economy.

scholarly journals Implementation of GCG (Good Corporate Governance) on the Prevention of Fraud Financing in Islamic Banks

2021 ◽  
Vol 1 (2) ◽  
pp. 98-108
Author(s):  
Lies Cholisoh ◽  
M. Fuad Hadziq
Keyword(s):  
Corporate Governance ◽  
Information Disclosure ◽  
Quantitative Research ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
T Test ◽  
Islamic Banking ◽  
Independent Variables ◽  
Good Corporate Governance ◽  
The Impact

Although Islamic Banking operates with Islamic principles, there are still many frauds that are committed deliberately for particular cases. This study aims to determine the extent of the influence of Good Corporate Governance in Islamic banking on indications of fraud, especially at Bank BNI Syariah. This research is quantitative research with primary and secondary data, namely using a sample questionnaire and interviews. While the data analysis is using multiple regression with descriptive analysis. The results of the study concluded that the resulting regression had a very small R square at 34.7%. Finding. The results of the t-test show that partially the independent variables in GCG, namely information disclosure, accountability, responsibility, independence, fairness, are stated to not affect the financing of fraud. This is because the number of R squares has a small effect. After all, it is below 50% so that the impact on the insignificance of the variables in GCG on fraud financing. Therefore, it results from the t-test in which none of the X variables affect variable Y. From the information above, it can be concluded that the GCG variable simultaneously has a significant effect on financing fraud, but if tested partially, the GCG variable has no effect on financing fraud.

scholarly journals PENGARUH PENDIDIKAN DAN PELATIHAN TERHADAP KOMPETENSI SERTA DAMPAKNYA PADA KINERJA PRAMUWISATA BALI

Jurnal IPTA ◽  
2016 ◽  
Vol 4 (2) ◽  
pp. 51
Author(s):  
Danang Purnomo ◽  
I Putu Sudana ◽  
I GPB. Sasrawan Mananda
Keyword(s):  
Significant Influence ◽  
Quantitative Research ◽  
Secondary Data ◽  
Analysis Data ◽  
Training Programme ◽  
Education And Training ◽  
Tour Guides ◽  
And Performance ◽  
The Impact ◽  
And Training

This research aims to discuss about the influences of tour guides education and training towards competencies and the impact direct and indirect to performance. It is used mix combination between qualitative and quantitative research with concurrent embedded models. This research used data primary and secondary data. Data collected by observation, interview and spreading questionare to 99 tour guides. Analysis data used path analysis with a single path. The result of this research is education and training has positive and significant influence towards competencies Balinese tour guides with coefficient values 0,802. Competency has positive and significant influence towards performance Balinese tour guides with coefficient value 0,563. Education and training has positive and significant influence toward performance directly with coefficient value 0,279. Education and training through competencies has positive and significant influence toward performance indirectly with sum total coefficient value 0,731. Suggestions for academic expected to research reenacting with same model to verifying result of the study. The suggestion for stakeholder related tour guides profession is to increasing education and training programme of tour guides for increasing competencies and performance of Balinese tour guides.

scholarly journals The impact of the deferred tax adjustment on the EVA measure for JSE-listed food producers and retailers in South Africa

2015 ◽  
Author(s):  
◽  
Melissa Naicker
Keyword(s):  
Quantitative Research ◽  
Economic Value ◽  
Value Added ◽  
Secondary Data ◽  
Deferred Taxes ◽  
Economic Values ◽  
After Effects ◽  
Before And After ◽  
Deferred Tax ◽  
The Impact

Economic Value Added (EVA) is a value based accounting measure used by companies to measure the amount of value created for shareholders. Accounting values derived from company annual financial statements (AFS), are used to calculate EVA. EVA requires the conversion of accounting values to economic values. This conversion process is known as the EVA adjustment. If accounting values are not converted to economic values, the value of the EVA can be distorted. Previous studies have shown that companies are experiencing difficulties in implementing EVA adjustments. To reduce these difficulties, companies have decided to limit their EVA adjustments to ten or even fewer. The problem is that if the appropriate adjustments are not made, an inaccurate EVA measure will be calculated. The aim of the research was to measure the impact of deferred taxes on the EVA measure. The study was conducted within a quantitative research paradigm. Secondary data analysis was carried out on JSE-listed Food producers and Retailers over a seven-year period, from 2004 to 2010. The unadjusted EVA was compared to the adjusted EVA measure to determine the before and after effects of deferred taxes on EVA. The findings of the study revealed that deferred taxes either understated or overstated the value of the EVA during 2004 to 2010. In addition, the results from the regression analysis revealed an overall significance for all deferred tax predictors. The regression results showed that deferred taxes significantly impacted the value of EVA. The study recommends that companies implement the deferred tax adjustment on the EVA measure.

scholarly journals Analisis belanja daerah pada Kabupaten Induk dalam Provinsi Jambi

2019 ◽  
Vol 8 (2) ◽  
pp. 75-94
Author(s):  
Bagas Pradyastio ◽  
Selamet Rahmadi ◽  
Yohanes Vyn Amzar
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Linear Regression ◽  
Data Processing ◽  
Multiple Linear Regression ◽  
Significant Influence ◽  
Total Population ◽  
Secondary Data ◽  
Analytical Tool ◽  
Simple Linear Regression

This study aims to determine whether economic growth, population, and local original income affect regional spending in the Main District in Jambi Province. The data used in this study are secondary data for 5 years, namely from 2012 to 2016. The variables used are regional expenditure, economic growth, population, and locally-generated revenue(PAD) in Parent Regencies in Jambi Province. The analytical tool used in this study is a simple linear regression and multiple linear regression using panel data. The results of data processing obtained the following results. First, economic growth does not significantly influence regional spending. Second, the population has a significant influence on regional spending. Third, the PAD has a significant effect on regional expenditure. Fourth, when viewed together it can be concluded that only PAD has a positive and significant effect, while economic growth and population do not affect regional spending in Parent Regencies in Jambi Province. Keywords: Regional expenditure, Economic growth, Total population, locally-generated revenue (PAD)

scholarly journals Pengaruh Struktur Modal Terhadap Return On Equity (ROE) Pada PT. Summarecon Agung, Tbk

2019 ◽  
Vol 1 (2) ◽  
pp. 175-188
Author(s):  
Muhibah Rustam
Keyword(s):  
Panel Data ◽  
Capital Structure ◽  
Qualitative Data ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Return On Equity ◽  
Weak Relationship ◽  
Data Source ◽  
R Value ◽  
The Impact

The purpose of the study was to analyze the impact of capital structure on return on equity (ROE) at PT. Summarecon Agung, Tbk. The type of data used in this study are quantitative and qualitative data. The data source used is secondary data. This study employed the descriptive analysis and a regresion analysis of panel data. The result of study showed that the capital structure showed a positive and not significant effect on return on equity (ROE), the regresion analysis showed Y = -154,79 + 17,31X, the r value of 0,35 which indicates a weak relationship between capital structure and return on equity. R2 of 12,25% which indicates return on equity (ROE) is determined by capital structure and return by other factors not in accordance in this study. The value of thitung (0,75) <  ttabel (2,78) shows that capital structure has no significant effect on return on equity (ROE).  Keywords : capital structure, return on equity (ROE)

Effectiveness of Auctions in Securing Price Support for Farmers: The Case of a Grain Market in India

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Neha Gupta
Keyword(s):  
Lower Cost ◽  
Secondary Data ◽  
Price Support ◽  
Minimum Support ◽  
Minimum Price ◽  
Support Price ◽  
The Government ◽  
Nonparametric Estimates ◽  
The Impact ◽  
Analyze Data

Abstract This paper reviews rice procurement operations of Government of India from the standpoints of cost of procurement as well as effectiveness in supporting farmers’ incomes. The two channels in use for procuring rice till 2015, were custom milling of rice and levy. In the first, the government bought paddy directly from farmers at the minimum support price (MSP) and got it milled from private millers; while in the second, it purchased rice from private millers at a pre-announced levy price thus providing indirect price support to farmers. Secondary data reveal that levy, despite implying lower cost of procurement was discriminated against till about a decade back and eventually abolished in 2015 in favor of custom milling, better trusted to provide minimum price support. We analyze data from auctions of paddy from a year when levy was still important to investigate its impact on farmers’ revenues. We use semi-nonparametric estimates of millers’ values to simulate farmers’ expected revenues and find these to be rather close to the MSP; a closer analysis shows that bidder competition is critical to this result. Finally, we use our estimates to quantify the impact of change in levy price on farmers’ revenues and use this to discuss ways to revive the levy channel.

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