scholarly journals ANALISIS KINERJA KOPERASI SIMPAN PINJAM "TANI MAKMUR" KABUPATEN BANTUL DENGAN METODE BALANCED SCORECARD

Agro Ekonomi ◽  
2017 ◽  
Vol 26 (1) ◽  
pp. 41
Author(s):  
Khottul Azizah ◽  
Suhatmi Hardyastuti ◽  
Any Suryantini
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Quality Management ◽  
Financial Performance ◽  
Performance Assessment ◽  
Balanced Scorecard ◽  
Health Assessment ◽  
Management Efficiency ◽  
Productive Asset ◽  
Asset Quality

Performance assessment is important to be known as a tool of data analysis, accountability and decision making. Performance assessment is done to observe bothfinancial aspect and non-jinancial aspect by using Balanced Scorecard method. Balanced Scorecard become the base of Peraturan Menteri Negara Koperasi dan Usaha Kecil Menengah Republik Indonesia Nomor 14/Per/M.KU/KM/XII/2009 about a tool of health assessment for Savings andLoans Cooperative. The aspects that are being analyzed are capital, productive asset quality, management, efficiency, liquidity, independence of growth, and cooperative identity .. This study aims to find out the financial & non-financialperformance of KSP "Tani Makmur" Bantul Regency period 2009-2013. The kind of research is descriptive. The results showed that (1) From seven aspects assessed, aspect capital and liquidity aspect showing the worse conditionthan other aspect. (2) Aspect eficiency showing the best result (3) the helath level of KSP Tani Makmur in 2009-2013 is "Healthy Enough". Based on the result of this study, it s excpected that KSP "Tani Makmur" can improve theirfinancial and non financial performance.

scholarly journals Analisis Laporan Keuangan Pada PT. Bank BNI (Persero) Tbk

2021 ◽  
Vol 13 (2) ◽  
pp. 101-110
Author(s):  
Andi Setiawan
Keyword(s):  
Quality Management ◽  
Financial Performance ◽  
Financial Institution ◽  
Health Assessment ◽  
Financial Health ◽  
Capital Asset ◽  
Asset Quality

A bank is a business entity or financial institution that greatly influences the economy of a country. The purpose of this research is to analyze the financial performance of PT. Bank BNI (Persero) Tbk in 2017-2019 using the CAMEL method. Financial health assessment of PT. Bank BNI (Persero) Tbk is carried out by assessing the aspects of Capital (Capital), Asset Quality, Management (Management), Earning (Rentability), Liquidity (liquidity) which is referred to as CAMEL. The results of the assessment show that the level of financial health of PT. Bank BNI (Persero) Tbk for 3 years for the period 2017-2019 was included in the healthy category with a CAMEL value of 90.2 in 2017, 90.4 in 2018 and 89.7 in 2019.  

scholarly journals Penilaian Kesehatan KJKS BMT Binamas

2019 ◽  
Vol 3 (2) ◽  
pp. 125-144
Author(s):  
Adi Angga Sukmana ◽  
Sri Mulyati
Keyword(s):  
Quality Management ◽  
Business Performance ◽  
Health Assessment ◽  
Financial Data ◽  
Microfinance Institutions ◽  
Capital Asset ◽  
Management Efficiency ◽  
Standard Assessment ◽  
Islamic Microfinance ◽  
Asset Quality

The analysis conducted will interpret ratios or financial data and its implications. Thisresearch is compiled to analyze health assessment KJKS BMT Binamas years 2012-2014 using a standard assessment of the Regulation of the Minister of State forCooperatives and SMEs RI Number: 35.3 / Per / M.KUKM / X / 2007 on guidelinesfor a health assessment KJKS and UJKS Cooperative. The results of this study will betaken into consideration in the evaluation and a policy for BMT KJKS Binamas toimprove their business performance so that stability is maintained and is expected toenhance public trust in this Islamic Microfinance Institutions. The approach used inthis study is a quantitative and descriptive variables used are capital; asset quality;management; efficiency; liquidity; independence and growth; the identity of thecooperative; and compliance with Islamic principles. Based on analysis of the healthassessment KJKS BMT Binamas can be seen that score recapitulation of eightvariables in 2012 amounted to 74.92% so that it can be categorized fairly sound, andin 2013 increased to 74.92% with the category Fairly Healthy, later in 2014 slightlydecreased to 75.95% are still in the category of Fit. Value ratios consistently ratedhigh happens because KJKS continue to maintain sound operational

scholarly journals Analisis Faktor Penghambat Kesehatan Koperasi Produsen Aneka Sulaman di Kabupaten Agam

Jurnal Ecogen ◽  
2020 ◽  
Vol 3 (2) ◽  
pp. 271
Author(s):  
Menik Kurnia Siwi ◽  
Tri Kurniawati ◽  
Jean Elikal Marna
Keyword(s):  
Quality Management ◽  
Capital Management ◽  
Health Capital ◽  
Cooperative Management ◽  
Management Efficiency ◽  
Inhibiting Factors ◽  
Savings And Loan ◽  
Productive Asset ◽  
Asset Quality ◽  
The Impact

This activity aims to describe the inhibiting factors of the health of Aneka Sulam Producer's Cooperative in Agam Regency. Cooperative health level based on seven aspects such as capital, productive asset quality, management, efficiency, liquidity, independence and growth, identity of the cooperative, and analyzing the factors that influence it. The results of the activities showed that the factors that hampered the health of cooperatives included internal disputes that were expected to cause difficulties in the development of the cooperatives concerned, the wrong of bookkeeping or window dressing so that the impact on the assessment became erroneous and the cooperatives carried out savings and loan business activities but were not recorded correctly. For this reason, it is necessary to have better cooperative management in the future.Keywords : cooperative health, capital, management, liquidity, identity of the cooperative

Drilling Data Quality Management: Case Study With a Laboratory Scale Drilling Rig

2018 ◽  
Author(s):  
Suranga C. H. Geekiyanage ◽  
Dan Sui ◽  
Bernt S. Aadnoy
Keyword(s):  
Decision Making ◽  
Quality Improvement ◽  
Control System ◽  
Data Analysis ◽  
Quality Management ◽  
Data Quality ◽  
Incomplete Data ◽  
Laboratory Scale ◽  
Data Quality Management ◽  
Drilling Rig

Drilling industry operations heavily depend on digital information. Data analysis is a process of acquiring, transforming, interpreting, modelling, displaying and storing data with an aim of extracting useful information, so that the decision-making, actions executing, events detecting and incident managing of a system can be handled in an efficient and certain manner. This paper aims to provide an approach to understand, cleanse, improve and interpret the post-well or realtime data to preserve or enhance data features, like accuracy, consistency, reliability and validity. Data quality management is a process with three major phases. Phase I is an evaluation of pre-data quality to identify data issues such as missing or incomplete data, non-standard or invalid data and redundant data etc. Phase II is an implementation of different data quality managing practices such as filtering, data assimilation, and data reconciliation to improve data accuracy and discover useful information. The third and final phase is a post-data quality evaluation, which is conducted to assure data quality and enhance the system performance. In this study, a laboratory-scale drilling rig with a control system capable of drilling is utilized for data acquisition and quality improvement. Safe and efficient performance of such control system heavily relies on quality of the data obtained while drilling and its sufficient availability. Pump pressure, top-drive rotational speed, weight on bit, drill string torque and bit depth are available measurements. The data analysis is challenged by issues such as corruption of data due to noises, time delays, missing or incomplete data and external disturbances. In order to solve such issues, different data quality improvement practices are applied for the testing. These techniques help the intelligent system to achieve better decision-making and quicker fault detection. The study from the laboratory-scale drilling rig clearly demonstrates the need for a proper data quality management process and clear understanding of signal processing methods to carry out an intelligent digitalization in oil and gas industry.

IMPROVED COMMON WEIGHT DEA-BASED DECISION APPROACH FOR ECONOMIC AND FINANCIAL PERFORMANCE ASSESSMENT

2019 ◽  
Vol 26 (2) ◽  
pp. 430-448
Author(s):  
E. Ertugrul Karsak ◽  
Nazli Goker
Keyword(s):  
Decision Making ◽  
Financial Performance ◽  
Performance Assessment ◽  
Rank Order ◽  
Multiple Criteria Decision Making ◽  
Data Envelopment ◽  
Step Size ◽  
Decision Making Unit ◽  
Common Weight

Economic and financial performance assessment possesses an important role for efficient usage of available resources. In this study, a novel common weight multiple criteria decision making (MCDM) approach based on data envelopment analysis (DEA) is presented to identify the best performing decision making unit (DMU) accounting for multiple inputs as well as multiple outputs. The robustness of the developed model, which provides a rank-order with enhanced discriminatory characteristics and improved weight dispersion, is illustrated by two case studies that aim to provide economic and financial performance assessment. The first study presents an evaluation of Morgan Stanley Capital International emerging markets, whereas the second case study ranks the Turkish deposit banks using the proposed methodology as well as providing a comparative evaluation with several other approaches addressed in earlier works. The results indicate that the introduced approach guarantees to identify the best performing DMU without including a discriminating parameter requiring an arbitrary step size value in model formulation while also achieving an improved weight dispersion for inputs and outputs.

scholarly journals FINANCIAL PERFORMANCE EVALUATION OF BANKS LISTED IN MUSCAT SECURITIES MARKET, OMAN: A CAMEL’S ANALYSIS MODEL APPROACH

2021 ◽  
pp. 135-145
Keyword(s):  
Financial Performance ◽  
Descriptive Analysis ◽  
Capital Adequacy ◽  
Securities Market ◽  
Analysis Model ◽  
Management Efficiency ◽  
Asset Quality ◽  
And Control ◽  
The Impact ◽  
Model Approach

The study is to examine the financial performance of banks listed in MSM, Omanthrough CAMEL model approach. The variables are computedusing financial ratios and compare them with established standards related to the Camel's standard to find out how important it is to implement a standard in the bank and ANOVA is calculated to determine whether results are meaningful. In other words, they help to determine whether you should reject the null hypothesis or accept the alternative hypothesis.The present research study uses descriptive analysis to achieve objectives of the study.The study's aim is to find out how CAMEL components affect the financial performance of MSM-listed banks. The findings support the impact of the CAMEL parameters on commercial bank results. Capital adequacy, asset quality, management efficiency, and liquidity are considered independent variables in the CAMEL model, whereas financial output is considered a dependent variable. All banks should follow and implanting perfect strategy in how used efficiency and effectively asset to generate profit. Moreover, monitoring credit risk of banks and control it.

scholarly journals EFFECT OF FINANCIAL PERFORMANCE AGAINST MARKET PERFORMANCE IN BANKING

2018 ◽  
Vol 2 (1) ◽  
pp. 1-5
Author(s):  
Desry Ponisa Putra ◽  
Seto Sulaksono Adi Wibowo
Keyword(s):  
Data Analysis ◽  
Financial Performance ◽  
Stock Returns ◽  
Stock Exchange ◽  
Market Performance ◽  
Simple Linear Regression ◽  
Capital Asset ◽  
Independent Variables ◽  
Banking Market ◽  
Asset Quality

This study aims to examine the effect of the financial performance of the banking market performance. This study used a sample of banking companies listed in Indonesia Stock Exchange 2011-2013. Financial Kineja measured using CAMEL (Capital, Asset Quality, Management, Earnings and Liquidity). market-based financial performance is measured by stock returns, variable we used in this study are the independent variables which covers CAR, DER, ROA, LDR. Data research using panel data and methods of data analysis using simple linear regression. influence the financial performance against the performance of the market is not particularly a significant impact on the performance of banks.

scholarly journals The Financial Performance on Asset Quality of Insurance Industry in Egypt (Panel Data Analysis)

2021 ◽  
Vol 14 (6) ◽  
pp. 24
Author(s):  
Salah Mohamed Eladly
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Financial Performance ◽  
Linear Relationship ◽  
Insurance Industry ◽  
Panel Data Analysis ◽  
Test Statistic ◽  
Independent Variable ◽  
Asset Quality

This study is an attempt to analyze the  impact of the financial performance on asset quality of insurance industry in Egypt as  applied on a sample of 19 insurance companies over the period 1999-2019.The financial performance measured by profitability (return on equity-return on investment) and liquidity results show that there is a significant negative linear relationship between the independent variable in terms ofX3, and the dependent variable; y, at a significant level less than (0.01), while there is no significant linear relationship between the independent variable of X1,X2, and dependent variable; y at a significant level greater than (0.05) . The study methodology used panel data analysis according to ARDL model and OLS, beside the robustness check supports these results using the Jarque-Bera test and the Durbin-Watson test statistic

Sign in / Sign up

Export Citation Format

Share Document