scholarly journals Discriminant Study with Classification of Underdeveloped and Developing City Districts in West Papua Province

2020 ◽  
Vol 15 (2) ◽  
pp. 103
Author(s):  
Ramli Lewenussa ◽  
Rais Dera Pua Rawi
Keyword(s):  
Discriminant Analysis ◽  
Influencing Factor ◽  
Secondary Data ◽  
Normality Test ◽  
West Papua ◽  
Presidential Decree ◽  
Independent Variable ◽  
The Difference ◽  
Theoretical Evidence

This study aims to determine whether there are clear differences between groups on the dependent variable. This analysis uses the independent variable Life Expectancy (X1), Number of Health Facilities (Puskesmas) (X2), Number of Facilities (Supporting Puskesmas) (X3), Polindes Facilities (X4), percentage of households that do not use electricity (X5). The dependent variable is the regencies / cities lagging behind and developing in West Papua. The research sample uses secondary data, which are the results of the 2017 National Socio-Economic Survey (SUSENAS) conducted by the West Papua Statistics Agency (BPS). The discriminatory method is to test the difference between the stipulation of disadvantaged districts / cities and the stipulation of a Presidential Decree. 131 of 2015, concerning disadvantaged districts / cities in West Papua with normality test data. The object applied is all districts / cities in West Papua. Discriminant analysis can separate lagging and developing districts / cities in West Papua province by calculating function scores by comparing with interrupted scores, the results of the study are 5 districts / cities classified as disadvantaged districts and 6 districts / cities classified as developing districts/city. the influencing factor is facilities (village polyclinic) and the percentage of households that do not use electricity with a percentage decision 100%, theoretical evidence that the five variables prove that the discriminant analysis method shows the same results as the results issued by the Presidential Decree. 131 of 2015 with the percentage of decisions is 100%.

scholarly journals Perbandingan Analisis Diskriminan dan Analisis Regresi Logistik Ordinal dalam Prediksi Klasifikasi Kondisi Kesehatan Bank

2017 ◽  
Vol 7 (2) ◽  
pp. 92
Author(s):  
Fajri Zufa ◽  
Sigit Nugroho ◽  
Mudin Simanihuruk
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Discriminant Analysis ◽  
Logistic Regression Analysis ◽  
Prediction Accuracy ◽  
Secondary Data ◽  
Ordinal Logistic Regression ◽  
Capital Adequacy ◽  
Ordinal Logistic Regression Analysis

The purpose of this research is to compare the accuracy of bank classification prediction based on Capital Adequacy Ratio (CAR), Earning Asset Quality (EAQ), Non Performing Loan (NPL), Return on Assets (ROA), Net Interest Margin (NIM), Short Term Mismatch (STM) and Loan to Deposit Ratio (LDR). Discriminant analysis and ordinal logistic regression analysis are compared in classifying the prediction. The data used are secondary data, namely data classification of bank conditions in Indonesia in 2014 obtained from research institute PT Infovesta Utama. Based on Apparent Error Rate (APER) score obtained, it can be said that discriminant analysis is better in predicting the classification of bank conditions in Indonesia than that of ordinal logistic regression analysis. Discriminant analysis has the average prediction accuracy of 80%, while ordinal logistic regression analysis has the average prediction accuracy of 74,38%.

scholarly journals PERBANDINGAN ANALISIS DISKRIMINAN DAN REGRESI LOGISTIK UNTUK MENGKLASIFIKASIKAN KELAYAKAN VISITASI PELAMAR BIDIKMISI

2020 ◽  
Vol 9 (1) ◽  
pp. 14
Author(s):  
NISA HIDAYATI ◽  
I KOMANG GDE SUKARSA ◽  
DESAK PUTU EKA NILAKUSMAWATI
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Discriminant Analysis ◽  
Logistic Regression Analysis ◽  
Classification Accuracy ◽  
Validation Data ◽  
Parental Income ◽  
Significant Independent Variable ◽  
Independent Variable

The purpose of this study is to compare discriminant analysis and logistic regression to classify the feasibility of the Bidikmisi applicant's visitation based on the classification accuracy. The results showed that the assumptions of homogeneity covariance matricies between the groups are unequal, The significant independent variable is the combined amount of parental income , parents income divided by the number of family dependents , and electricity bills , and then the results of the classification of validation data from the logistic regression analysis of 98,21% higher than the discriminant analysis of 94,64%.

scholarly journals Titrable acidity of wines at different pH and its relation with the colour

OENO One ◽  
1998 ◽  
Vol 32 (3) ◽  
pp. 163
Author(s):  
Maria Dolores Huerta ◽  
Maria Rosario Salinas Fernandez ◽  
Taisir Masoud Musa
Keyword(s):  
Discriminant Analysis ◽  
Correct Classification ◽  
Red Wines ◽  
Colour Intensity ◽  
Titrable Acidity ◽  
Ph Values ◽  
First Approximation ◽  
Different Types ◽  
The Difference

<p style="text-align: justify;">This work constitute a first approximation to study the relation between the value of the titrable acidit y at different pH and the colour intensity of wines. The organic acids from wines treated with NaOH are weak acids, for this reason the neutralisation with a strong alkali solution, it should give pH values greater than 7. We have studied a new parameter based on the difference between pH 8.2 (stablised by the Association of Official Analytical Chemists) and pH 7.0 (stablised by the Office International de la Vigne et du Vin). the mentioned parameter (AT<sub>8,2</sub>-AT<sub>7,0</sub>) has been used to find a possible differentiation between wines according to colour. Eighty eighth wines (white, red and rose) belonging to the three district making up the « Vinos of Madrid» Origin were analysed. The values of this new parameter are similar for white and rose wines but considerably differences were observed for the red type. A linear correlation was obtained between the <span>AT</span><sub>8,2</sub><span>-AT</span><sub>7,0 </sub>parameter and the colour intensity from red wines. Discriminant analysis were applied to this parameter in order to classify the wines according to their colour. A correct classification of 71.43 p. cent was obtained for the three different types of red wines.</p>

scholarly journals Pengaruh Electronic Word of Mouth Terhadap Keputusan Berkunjung di Desa Wisata Cibeusi Kabupaten Subang

2020 ◽  
Vol 6 (1) ◽  
pp. 127-150
Author(s):  
Nova Riana ◽  
Rieke Sri Rizki Asti Karini ◽  
Satria Delonika Regiawan
Keyword(s):  
Word Of Mouth ◽  
Hypothesis Test ◽  
Test Validity ◽  
Secondary Data ◽  
Sampling Technique ◽  
Electronic Word Of Mouth ◽  
Normality Test ◽  
Independent Variable ◽  
Regression Correlation ◽  
Test Result

This study aims to determine the effect of Electronic Word of Mouth on visit decision in Tourism Village Cibeusi Subang Regency. The research method used is a quantitative method with descriptive and verificative approach. The data used in this study including primary and secondary data. The samples amounted on 100 respondents, taken from the tourist population in 2018 counted as 3.218 tourists . This sample is calculated by using the Slovin formula. The sampling technique is done using incidental approach. Data collection is done using observation, questionnaire, interview and documentation. The model of the questionnaire used a Likert scale. The verificative analysis used were instrumental test (validity test and reliability test), normality test, heteroscedascity test, simple linear regression, correlation analysis, analysis of determination and partial hypothesis test. The results of this study showed that the correlation between variables categorized as moderate. The effect of the independent variable on the dependent variable was 23.7%, whilst 76.3% was influenced by other variables not examined in this study. The t test result showed that the value of  tcount  > ttable (5,512 > 1,984) with a significance of 0,000 < 0.05, so it can be concluded that the Electronic Word of Mouth has a positive and significant effect on the decision to visit Cibeusi Tourism Village, Subang Regency.

scholarly journals BANKRUPTCY PREDICTION ANALYSIS USING THE ZMIJEWSKI MODEL (X-SCORE) AND THE ALTMAN MODEL (Z-SCORE)

2020 ◽  
Vol 1 (5) ◽  
pp. 794-806
Author(s):  
Viciwati Viciwati
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Secondary Data ◽  
Bankruptcy Prediction ◽  
Z Score ◽  
Accuracy Rate ◽  
Financial Reports ◽  
Normality Test ◽  
The Difference ◽  
Score Model

This study aims to identify and analyze the accurate models of Financial Distress in retail companies listed on the Indonesian Stock Exchange in 2014-2018 using the Zmijewski (X-Score) and Altman (Z-Score) Model. The sample used is 70. This study uses secondary data from the 2014-2018 annual financial reports. This study tested the hypothesis using the normality test and the Kruskal Wallis test or the difference test using SPSS version 26. The results of this study indicate that the Zmijewski (X-Score) model is the model that has the highest accuracy rate in predicting bankruptcy with an accuracy rate of 90%.

scholarly journals ANALISA KEPUASAN PENGGUNA APLIKASI E-XAMP EDITOR SEBAGAI APLIKASI UJIAN SEKOLAH BERBASIS KOMPUTER DI SMKN 3 PARIAMAN MENGGUNAKAN METODE END USER COMPUTING SATISFACTION (EUCS) YANG DIPERLUAS

2017 ◽  
Vol 5 (2) ◽  
Author(s):  
Kurnia Anesa ◽  
Zulhendra Zulhendra ◽  
Denny Kurniadi
Keyword(s):  
User Satisfaction ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Ease Of Use ◽  
Test Reliability ◽  
Primary Data ◽  
End User ◽  
Normality Test ◽  
Independent Variable ◽  
End User Computing

This study aims to evaluate the satisfaction of System e-Xamp Editor users in SMKN 3 Pariaman. The evaluation was conducted based on the perception of the end user by using End-User Computing Satisfaction (EUCS) model. EUCS Model has 6 factors i.e. content, accuracy, format, ease of use timeliness and flexibility, these 6 factors used as independent variable to evaluate e-Xamp editor user satisfaction in SMKN 3 Pariaman. This research using questionnaire as a primary data as well as scientific journals, reference books as secondary data. This research uses validity test, reliability test, normality test and linear regression analysis as methods of data analysis. The results showed that 6 factors of EUCS model affects 61% of e-Xamp editor user satisfaction. Content affects 6,15% of e-Xamp editor user satisfaction, timeliness affects 15,76% of e-Xamp editor user satisfaction, ease of use affects 15,36% of e-Xamp editor user satisfaction, format affects 5,52% of e-Xamp editor user sastisfaction, accuracy affects 2,5% of e-Xamp editor user satisfaction and flexibility affects 6,4% of e-Xamp editor user satisfaction. Kata kunci: User Satisfaction, e-Xamp editor, End-User ComputingSatisfaction (EUCS)

scholarly journals ANALISIS RIGIDITAS LENDING RATE PERBANKAN DI INDONESIA PERIODE JANUARI2001 - JUNI2004

2017 ◽  
Vol 5 (2) ◽  
pp. 193
Author(s):  
Sutomo Sutomo ◽  
Johadi Johadi
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Commercial Bank ◽  
Banking Sector ◽  
Secondary Data ◽  
Bank Lending ◽  
Lending Rate ◽  
Response Change ◽  
Independent Variable ◽  
The Difference

The research aim's to know the influence of interest rate ofSBI, exchange rate, total bank lending, supply of funds and commercial bank amount to rigidly bank lending rate in Indonesian period of January 2001 until June 2004. The research use secondary data by character of time series. The research methodology used a partial adjustment model that rigidly bank lending rate are influence by all independent variable such interest rate of SBI, exchange rate, and total bank lending, supply of fund and commercial bank amount in banking sector. The empirical results that rigidly bank lending rate are influenced by all independent variable are collectively such interest rate of SBI, exchange rate, and total bank lending, supply of fund and commercial bank amount in banking sector. But as partial, rigidly bank-lending rate are influenced by an interest rate of SBI, exchange rate, total bank lending and supply of funds and commercial bank amount, which don't have an effect to rigidly bank lending rate.The result that is suitable with the theory, where monetary instrument (interest rate of SBI) can be used to influence bank-lending rate as process transmission mechanism mon­etary policy by price channel approach. Adjustment coefficient is equal to 0,5484 which meaning 54,84 % represents the difference between bank lending rate actual with bank lending rate that desired which fulfilled to be reached in one period, where speed of adjustment bank lending rate in response change of independent variable equal to 5 months 27 day, with mean lag independent variable equal to 1,1812867 months.

scholarly journals The Minimum-Maximum Weather Temperature Difference Effect on Dengue Incidence in Sleman Regency of Yogyakarta, Indonesia

2018 ◽  
Vol 15 (5) ◽  
pp. 387-396
Author(s):  
Tri Wulandari KESETYANINGSIH ◽  
Sri ANDARINI ◽  
Sudarto SUDARTO ◽  
Henny PRAMOEDYO
Keyword(s):  
Temperature Difference ◽  
Secondary Data ◽  
Viral Disease ◽  
Night Temperature ◽  
Fluctuating Temperature ◽  
Vector Mosquito ◽  
Tropical Areas ◽  
Independent Variable ◽  
The Difference ◽  
Maximum Temperatures

Dengue is a viral disease, transmitted by Aedes aegypti, and is still a big problem in tropical areas, including Indonesia, where the temperatures are relatively warm and suitable for vector mosquito life. In the dry season, the day and night temperature differences are quite sharp and, at that time, the number of dengue cases is low. In this study, the difference between day and night temperature is referred to as daily temperature fluctuation and represented by the maximum and minimum temperature difference in each month. The research was conducted in Sleman Regency, Yogyakarta Province, Indonesia, as an endemic area, and the data were collected from 4 endemic areas in Sleman; Gamping, Godean, Sleman, and Depok districts. The data collected were quantitative with serial data retrospective. Secondary data of monthly dengue incidence in the years 2008 - 2013 were obtained from the Regency Health Office and used as a dependent variable. Monthly minimum and maximum temperatures in the same periods were obtained from the Agency of Meteorology, Climatology, and Geophysics. The differences between the minimum and maximum temperatures were calculated, to be used as independent variable data, and represented the different day and night temperatures of the month. Data were analyzed by using linear regressions to determine the influence of fluctuating temperature on the incidence of dengue. Results show that fluctuating temperature affected dengue incidence in the districts of Godean (p = 0.000; R2 = 0.207) and Gamping (p = 0.006; R2 = 0.125), but did not affect it in Sleman (p = 0.164) or Depok (p = 0.075). The data suggests that fluctuating temperature affected dengue incidence with powers of 20.7 % in Godean and 12.5 % in Gamping.

scholarly journals ANALISIS METODE ALTMAN Z-SCORE SEBAGAI ALAT PREDIKSI KEBANGKRUTAN DAN PENGARUHNYA TERHADAP HARGA SAHAM PADA PERUSAHAAN FARMASI YANG TERDAFTAR DI BURSA EFEK INDONESIA

2016 ◽  
Vol 1 (01) ◽  
Author(s):  
Nur Fadli Andriawan ◽  
Dantje Salean
Keyword(s):  
Stock Price ◽  
Stock Exchange ◽  
Secondary Data ◽  
Financial Statements ◽  
Financial Ratios ◽  
Z Score ◽  
Simple Linear Regression ◽  
Normality Test ◽  
Independent Variable ◽  
Industrial Company

The purpose of this study was to determine the predicted outcome of bankruptcy and also to test there is influence between independent variable is the value of the model financial ratios Altman Z-score as a predictor of bankruptcy with the dependent variable is the price of this stock.this research take secondary data through the financial statements of each company in Indonesia Stock Exchange website. The sample used in this study were six industrial company and pharmacy sector on Indonesia Stock Exchange. using normality test and simple linear regression. The results showed that from 2009 to 2013 the majority of the industrial company and pharmacy sector in the Indonesia Stock Exchange in the category of companies that good.for hypothesis testing results of this study showed a significant relationship between predicted bankruptcy by using the value of financial ratios Altman Z-score the stock price at the industial company and pharmacy sector in the Indonesia Stock Exchange with the level of determination coefficient of 52%.Keywords: Altman Z-score, prediction of bankruptcy, the stock price

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