scholarly journals INDIKATOR KOLEKTIBILITAS KREDIT JOINT FINANCING MENGGUNAKAN OLS & LOGIT

2021 ◽  
Vol 11 (1) ◽  
pp. 106-123
Author(s):  
Derisman Silalahi ◽  
Edison Hulu
Keyword(s):  
Least Square Method ◽  
Ordinary Least Squares ◽  
Regression Method ◽  
Least Square ◽  
Logit Analysis ◽  
Significance Level ◽  
Ordinary Least Square ◽  
Logit Regression ◽  
Sample Data ◽  
Binary Logit

This study aims to determine indicators that have a significant effect on debtor collectability. The number of sample data used is 102 joint financing debtors whose loans were realized in 2019, which consists of two groups of 51 debtors that have current and non-current collectability. The analytical method used is the ordinary least square method and the logit regression method, where the combination of the two analytical methods being used at once was not yet found in previous studies. The analysis result using ordinary least squares shows three (3) significant indicators that affect collectability, namely term of the loan, value of collateral and monthly liabilities, with a significance level of 0.05. Meanwhile, the binary logit analysis results in four (4) significant indicators, namely term of the loan, value of collateral and monthly liabilities with a significance level of 0.05 and level of job risk with a significance level of 0.10. The R-squared value in the ordinary least square is 41%, which means that the ten indicators in this study simultaneously affect the collectability variable, while 59% is influenced by other variables not included in this study. The analysis using the logit regression method shows an R-square value of 39% which can be said that the ten indicators altogether affect debtor collectability by 39%.

scholarly journals Akses Usaha Kecil dan Mikro (UKM) terhadap Kredit Usaha Rakyat (KUR) dan Dampaknya terhadap Perkembangan Usaha: Kasus UKM di Kota Mataram

2019 ◽  
Vol 5 (2) ◽  
pp. 186-202
Author(s):  
Embun Suryani Suryani ◽  
Sri Wahyulina ◽  
Siti Aisyah Hidayati
Keyword(s):  
Regression Method ◽  
Business Development ◽  
Least Square ◽  
Primary Data ◽  
Ordinary Least Square ◽  
Logit Regression ◽  
Capital Constraints ◽  
Credit Programs ◽  
Logistic Regression Method ◽  
The Impact

Small and Micro Enterprises (SMEs) have a significant role for Indonesia's gross domestic product and employment. However, most SMEs face capital constraints and limited access to formal financial institutions. Kredit Usaha Rakyat (KUR) Fund is one of the credit programs established by the Indonesian Government to overcome capital constraints on SMEs. The study aims to analyze the ability of SMEs to access the KUR loans and the loan’s impact on business development. Primary data was obtained from interviews of 40 respondents who are SMEs in Mataram City. Ability to access the KUR loans was analyzed by logistic regression method while Ordinary Least Square (OLS) was employed to analyze the impact of KUR loans on business development. The result of logit regression shows that the variable of savings and sales influence the ability of SME to access the KUR loan. The KUR funds granted are able to increase SME's sales value by 82.03 percent from 3.47 billion rupiah to 6.31 billion rupiah per year. Based on the OLS analysis, the ability of SMEs to access capital derived from KUR funds has a positive and significant impact on the value of SME business development

PENGARUH KNOWLEDGE MANAGEMENT, KOMPETENSI, MOTIVASI TERHADAP KINERJA KARYAWAN

2015 ◽  
Vol 5 (2) ◽  
pp. 1
Author(s):  
Miftahol Arifin
Keyword(s):  
Knowledge Management ◽  
Linear Regression ◽  
Significant Influence ◽  
Employee Performance ◽  
Least Square Method ◽  
Least Square ◽  
Analysis Tool ◽  
Ordinary Least Square ◽  
Competence Motivation ◽  
Performance Analyze

The purpose of this research is to analyze the influence of knowledge management on employee performance, analyze the effect of competence on employee performance, analyze the influence of motivation on employee performance). In this study, samples taken are structural employees PT.centris Kingdom Taxi Yogyakarta. The analysis tool in this study using multiple linear regression with Ordinary Least Square method (OLS). The conclusion of this study showed that the variables of knowledge management has a significant influence on employee performance, competence variables have an influence on employee performance, motivation variables have an influence on employee performance, The analysis showed that the variables of knowledge management, competence, motivation on employee performance.Keywords: knowledge management, competence, motivation, employee performance.

Islamic calendar and stock market behaviour in India

2018 ◽  
Vol 45 (11) ◽  
pp. 1550-1566
Author(s):  
Dharani Munusamy
Keyword(s):  
Stock Market ◽  
Least Square Method ◽  
Least Square ◽  
Stock Market Returns ◽  
Content Type ◽  
Ordinary Least Square ◽  
Average Return ◽  
Year Effect ◽  
The Common ◽  
The Impact

Purpose The purpose of this paper is to examine the behavior of the stock market returns in the different days of the week and different months of the year in accordance with the Islamic calendar. Further, the study estimates the risk-adjusted returns to test the performance of the indices during the Ramadan and non-Ramadan days. Finally, the study investigates the impact of Ramadan on the returns and the volatility of the stock market indices in India. Design/methodology/approach Initially, the study applies the Ordinary Least Square method to test the day-of-the-week and the month-of-the-year effect of the common and Shariah indices. Next, the study employs the risk-adjusted measurement to examine the underperformance and over-performance of the indices for both the periods. Finally, the study estimates the GARCH (1,1) and GJR-GARCH (1,1) models to observe the impact of Ramadan on the returns and the volatility of the Shariah indices in India. Findings The study finds that an average return of the indices during the Ramadan days are higher than non-Ramadan days. Further, the average returns of the Shariah indices are significantly higher on Wednesday than other days of the week. In addition, the highest and significant mean returns and mean risk-adjusted returns of the indices during the Ramadan days are observed. Finally, the study finds an evidence of the Ramadan effect on the returns and volatility of the indices in India. Originality/value The study observes evidence that the Ramadan effect influences the Shariah indices, but not the common indices in the stock market of the non-Muslim countries. It indicates that the Ramadan creates the positive mood and emotions in the investors buying and selling activities. The study suggests that investors can buy the shares before Ramadan period and sell them during the Ramadan days to get an abnormal return in the emerging markets.

scholarly journals Agriculture, Manufacturing and Economic Growth in Nigeria

2021 ◽  
Vol 04 (03) ◽  
Author(s):  
Atayi Abraham Vincent ◽  
Keyword(s):  
Government Spending ◽  
Agricultural Sector ◽  
Manufacturing Sector ◽  
Research Work ◽  
Least Square Method ◽  
Least Square ◽  
Ordinary Least Square ◽  
Positive Effects ◽  
The Government ◽  
Positive Effect

This research work address the positive effect of Agriculture on the manufacturing sector in Nigeria. The study made used of Ordinary Least Square Method estimation techniques. The findings showed that Agricultural output, government spending on agriculture, and real gross domestic product all have positive effects on the manufacturing sector. The effects is RGDP 66percent, AGRQ by 63%, and GOEXA by 96 percent. The study recommends among other things that government should allocate more resources to the Nigerian agricultural sector and ensure that the funds are judiciously use and that the government should also seek to strengthen its incentives for the manufacturing sector in order to promote increased industrial production and growth.

scholarly journals HUBUNGAN ANTARA ORIENTASI STRATEGIS DAN KEMAMPUAN INOVASI BERBASIS LAYANAN STUDI PADA UMKM KREATIF DI INDONESIA

2017 ◽  
Vol 19 (2) ◽  
pp. 249
Author(s):  
Dwitya Aribawa
Keyword(s):  
Intellectual Capital ◽  
Customer Orientation ◽  
Service Innovation ◽  
Least Square Method ◽  
Business Environment ◽  
Least Square ◽  
Three Dimensions ◽  
Innovation Capability ◽  
Ordinary Least Square ◽  
Competitor Orientation

Industri kreatif menjadi competitive advantage tersendiri bagi Indonesia yang memiliki potensi berlimpah pada intellectual capital yang tersebar di seluruh pulau untuk memunculkan model bisnis yang inovatif dan membuka lapangan kerja baru. Sasaran dari penelitian ini adalah untuk mengidentifikasi dan menganalisis hubunga antara orientasi strategis (dimana pada penelitian ini terdiri dari orientasi pelanggan, orientasi pesaing dan orientasi biaya) dengan kemampuan inovasi berbasis layanan. Unit penelitian ini adalah usaha mikro, kecil dan menengah (UMKM) yang beroperasi pada salah satu dari sub-sektor industri kreatif dan terletak di Bandung, Denpsar, Jakarta atau Yogyakarta. Dengan analisis kuantitatif, penelitian ini melihat hubungan antara variabel independen dan dependen melalui tes hipotesis menggunakan metode ordinary least square. Metode pertanyaan terbuka digunakan untuk melihat pola pengembangan bisnis kreatif responden. Hasil dari penelitian ini menemukan bahwa orientasi pelanggan dan orientasi biaya memiliki hubungan positif terhadap kemampuan inovasi berdasarkan jasa. Sedangkan, orientasi pesaing tidak memiliki hubungan yang siginifikan terhadap kemampuan inovasi berbasis layanan. Dari penelitian ini, dapat disimpulkan bahwa pelaku usaha (dalam hal ini UMKM) memiliki fokus pada konsumen dan efisiensi biaya yang pada akhirnya akan membentuk budaya inovasi yang sesuai dengan lingkungan bisnis mereka.Creative industry is becoming competitive advantages to Indonesia. It has huge potency of intellectual capital around islands. Creative business aim to creating innovative business model and open absorb labor force. The objective of this study is to examine and analyze the relationships between strategic orientation (in this research consist of three dimensions; customer orientation, competitor orientation and cost orientation)and service innovation capability. Object of this study was Micro, Small and Medium Enterprises (MSMEs) that operates in one of creative subsector industry and located at in Bandung, Denpasar, Jakarta or Yogyakarta. By using quantitative analysis, this study analyzed the relationship between independent and dependent variables through testing hypotheses using ordinary least square method. Open question method also used to show the pattern of creative business development from owners point of viewt. The result of this study found customer orientation and cost orientation positively related to service innovation capability. While, competitor orientation shows not have significant relationship to service innovation capability. From this research can be conclude that creative business (MSMEs) has focus on deserve customers interest. Besides, at the same time they create efficiency in cost. Mix of both orientations in the end will creating innovation culture that fit to their business environment.

scholarly journals PEMODELAN REGRESI RIDGE ROBUST-MM DALAM PENANGANAN MULTIKOLINIERITAS DAN PENCILAN (Studi Kasus : Faktor-Faktor yang Mempengaruhi AKB di Jawa Tengah Tahun 2017)

2019 ◽  
Vol 8 (1) ◽  
pp. 24-34
Author(s):  
Eka Destiyani ◽  
Rita Rahmawati ◽  
Suparti Suparti
Keyword(s):  
Least Squares ◽  
Robust Regression ◽  
Ordinary Least Squares ◽  
Regression Method ◽  
Predictor Variables ◽  
Healthy Life ◽  
Significance Level ◽  
Central Java ◽  
Regression Parameters

The Ordinary Least Squares (OLS) is one of the most commonly used method to estimate linear regression parameters. If multicollinearity is exist within predictor variables especially coupled with the outliers, then regression analysis with OLS is no longer used. One method that can be used to solve a multicollinearity and outliers problems is Ridge Robust-MM Regression. Ridge Robust-MM  Regression is a modification of the Ridge Regression method based on the MM-estimator of Robust Regression. The case study in this research is AKB in Central Java 2017 influenced by population dencity, the precentage of households behaving in a clean and healthy life, the number of low-weighted baby born, the number of babies who are given exclusive breastfeeding, the number of babies that receiving a neonatal visit once, and the number of babies who get health services. The result of estimation using OLS show that there is violation of multicollinearity and also the presence of outliers. Applied ridge robust-MM regression to case study proves ridge robust regression can improve parameter estimation. Based on t test at 5% significance level most of predictor variables have significant effect to variable AKB. The influence value of predictor variables to AKB is 47.68% and MSE value is 0.01538.Keywords:  Ordinary  Least  Squares  (OLS),  Multicollinearity,  Outliers,  RidgeRegression, Robust Regression, AKB.

scholarly journals KAJIAN METODE ORDINARY LEAST SQUARE DAN ROBUST ESTIMASI M PADA MODEL REGRESI LINIER SEDERHANA YANG MEMUAT OUTLIER

2020 ◽  
Vol 11 (1) ◽  
pp. 21
Author(s):  
Zahrotul Aflakhah ◽  
Jajang Jajang ◽  
Agustini Tripena Br. Sb.
Keyword(s):  
Full Article ◽  
Regression Model ◽  
Sample Size ◽  
Regression Models ◽  
Estimation Method ◽  
Ordinary Least Squares ◽  
Least Square ◽  
Simple Linear Regression ◽  
Ordinary Least Square ◽  
M Estimation

This research discusses about the Ordinary Least Squares (OLS) method and robust M-estimation method; compare between the Tukey bisquare and Huber weighting from simple linier regression models that contain outliers. Data are generated through simulation with the percentages of outliers and sample sizes. Each data will be formed into a simple linier regression model, then the percentage of outliers, RSE and MAD values are calculated. The results show that RSE and MAD values produced by a simple linear regression model with the OLS method are influenced by the percentage of outliers. However, the regression model of robust M-estimation with sample size 30, 60, 90, 120, and 150 results an unstable RSE values with the change of the percentage of outlier and the MAD values that are not affected by the percentage of outliers and sample size. The robust M-estimation method with Tukey Bisquare weighting is as good as the Huber weighting. Full Article

scholarly journals Pengaruh umur, pendidikan, upah, keterampilan, dan jenis kelamin terhadap lama mencari kerja bagi pekerja terdidik di Kota Jambi (studi kasus Kecamatan Kota Baru dan Telanaipura)

2020 ◽  
Vol 9 (1) ◽  
pp. 1-12
Author(s):  
Cici Swarsih ◽  
Junaidi Junaidi ◽  
Rosmeli Rosmeli
Keyword(s):  
Sampling Method ◽  
Least Square Method ◽  
Total Sample ◽  
Least Square ◽  
Primary Data ◽  
Wage Level ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
And Gender ◽  
Multistage Sampling

This study aims to analyze the characteristics of educated workforce and to determine the effect of variables of age, education, wage level, skills and gender on duration of looking for work by educated worker in Jambi City. The data used in this study are primary data obtained from questionnaires and direct interviews with a total sample of 110 respondents. Sampling in this study uses a multistage sampling method that is sampling in stages. Data analysis methods used are descriptive and quantitative analysis. The analytical tool used is the OLS (Ordinary Least Square) method. The results of this study indicate that the independent variables simultaneously have a significant effect on duration of looking for work. Partially the variables of age, education, wage level have a significant effect on duration of looking for work, while the skills and gender variables have no significant effect on the duration of looking for work.

scholarly journals DAMPAK SOSIAL EKONOMI PENGGUNA JALAN AKIBAT KEMACETAN LALU LINTAS DI ZERO POINT KOTA MANADO

2019 ◽  
Vol 19 (7) ◽  
Author(s):  
Munazar R Muari'F ◽  
Vecky A.J. Masinambow ◽  
Tri Oldy Rotinsulu
Keyword(s):  
Government Spending ◽  
Zero Point ◽  
Ordinary Least Squares ◽  
Least Square ◽  
Transport Sector ◽  
Economic Sectors ◽  
Role Of Government ◽  
Ordinary Least Square ◽  
Main Components ◽  
Direct Expenditure

ABSTRAKSektor tranportasi merupakan salah satu komponen utama dalam peningkatan arus perekonomian, baik untuk memaksimalkan potensi daerah yang selama ini dimiliki namun juga untuk membuka sektor-sektor ekonomi baru yang berujung pada  peningkatan perekonomian sebuah daerah.Guna memanfaatkan potensi-potensi yang dimiliki maupun membuka potensi-potensi perekonomian yang baru maka peran serta pemerintah dalam mengatur alokasi belanjanya perlu untuk lebih dimaksimalkan. Untuk melihat seberapa besar pengaruh belanja pemerintah dalam bentuk belanja langsung dan belanja tidak langsung mempengaruhi peningkatan sub-sektor transportasi.Penelitian ini menggunakan Ordinary least square dengan  metode regresi berganda, dari hasil penelitian didapatkan hasil r square sebesar  96,7. Dengan hasil ini maka dapat terlihat pengaruh belanja pemerintah terhadap peningkatan sub-sektor transportasi hampir mencapai angka 97 persen, yang artinya hanya tersisa 3 persen tingkat pengaruh variabel lain. Kata kunci : Belanja Langsung (BL), Belanja Tidak Langsung (BTL), Otonomi, Transportasi ABSTRACT                    Transport sector is one of the main components to increase the flow of the economy, to maximize the potential of the area that had been held, but also to open up new economic sectors which resulted in an increase in the economy of a region.               In order to utilize the potential that may or unlock the potential of the new economy, the role of government in regulating the allocation of spending needs to be maximized. To see how much influence government spending in the form of direct expenditure and indirect expenditure affect the improvement of the transport sub-sector.               This study using the Ordinary least squares multiple regression method, the result showed the the r-square of  96.7. With that, it can be seen the effect of government spending to increase transport sub-sector almost reached 97 percent, which means that only the remaining 3 percent the level of influence of other variables. Keywords: Direct Expenditure, Indirect Expenditure, Autonomy, Transportation

scholarly journals Analysis of Labor Absorption (Study in Kerupuk Sanjai Small and Medium Enterprises in Kabupaten Lima Puluh Kota)

2019 ◽  
Vol 2 (2) ◽  
pp. 68-75
Author(s):  
Nelvia Iryani ◽  
Syaiful Anwar
Keyword(s):  
Small And Medium Enterprises ◽  
Linear Regression Analysis ◽  
Field Research ◽  
Least Square Method ◽  
Multiple Linear Regression Analysis ◽  
Least Square ◽  
Economic Activities ◽  
Ordinary Least Square ◽  
Production Value ◽  
Medium Enterprises

Labor is a very important asset in economic activities, but often the number of workers exceeds the available employment capacity, so it is very necessary to analyze the factors that affect employment. This study aims to estimate the relationship between wage, capital, production value to the amount of employment in Kerupuk Sanjai Small and Medium Enterprises (SMEs) in Kabupaten Limapuluh Kota This type of research is field research and use questioner to 100 respondens . The analytical tool used is multiple linear regression analysis with OLS (Ordinary Least Square) method and data processing using SPSS VR.21 software. The results of the study show that  all independent variabels has a  significant effect on labor absorption in Kerupuk Sanjai SMEs in Kabupaten Limapuluh Kota. capital is the variable that has the most influence in the absorption of labor in the Kerupuk Sanjai Small and Medium Enterprises (SMEs) in Kabupaten Limapuluh Kota.

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