Multiple Linear Regression Analysis Model Research Articles

Determinan Kemiskinan di Kabupaten Kepulauan Meranti

Study this aims to (1) analyze influence amount population , education and income per capita by together to poverty in the district Island Meranti, (2) analyze the most dominant factor influence poverty in the district Island Meranti. Study this use multiple linear regression analysis model. The results showed that variable amount population, education and income per capita by together take effect significant to poverty in the district Island Meranti. By partial, test to coefficient regression show that variable amount population take effect negative and significant to poverty in the district Island Meranti, variable education take effect positive and significant to poverty in the district Island Meranti and variable income per capita take effect negative and significant to poverty in the district Island Meranti.

Pengaruh Kenaikan Harga Telur Terhadap Daya Beli Masyarakat Di Tangerang

This study aims to determine the increase in the price of chicken eggs in Tangerang City. The research was conducted from September to November 2022. The research method is a survey method. The data collection method used in this study is a non-probabilistic technique using simple random sampling and snowballing sampling. The data analysis method used is a quantitative method with multiple linear regression analysis models. From the results of the study that the results of the analysis of the increase in the price of chicken eggs affect the demand for the price of chicken eggs in Tangerang City. There is a significant effect on the price of chicken eggs, the price of other goods, and income simultaneously on the increase in the price of chicken eggs in Tangerang City, and there is a significant effect on the price of chicken eggs and income partially on the demand for chicken eggs in Tangerang City, then there is no significant effect on the price of goods others (chicken meat) partially to the demand for chicken eggs in Tangerang City.

Investigating the Factors Influencing Employee Performance

This study aims to analyze the influence of Leadership Style, Motivation and Work Discipline on the Performance of Government Apparatuses in Cicendo District, Bandung City. This study involved 63 Cicendo District government officials, Bandung City, and all of them became respondents using a multiple linear regression analysis model. The results of this study indicate that Leadership Style, Motivation and Work Discipline simultaneously have a positive and significant influence on the performance of Cicendo District Government Apparatuses, Bandung City. While partially it was found that the leadership style factor had the most dominant significant influence on the performance of the Cicendo District Government Apparatus, Bandung City.

The Effect of Part-time Work, Work Stress, Learning Environment, Learning Motivation and on Academic Achievement of Student Employees in Management Study Program (Empirical Study at Pembangunan Panca Budi University)

This research was conducted on Employee Students of the Management Study Program at Pembangunan Panca Budi University, Medan. The research objective is to identify and analyze the effect of part-time work, work stress, learning environment and learning motivation on academic achievement. The population in this study was 431 respondents who were Friday and Saturday Employee Class Students for the period 2020 to 2022. The number of samples taken in this study were 82 respondents. The sample size is determined by the Slovin formula with an error tolerance of 10%. This study uses quantitative data processed with the SPSS application with multiple linear regression analysis models. The data source used is primary data taken directly from the respondents. The results showed that part-time work, work stress and learning motivation had a positive and significant effect on academic achievement. While the Learning Environment has no effect and is not significant on Academic Achievement. Simultaneously Parttime Work, Work Stress, Learning Environment and Learning Motivation have a positive and significant effect on Academic Achievement. The magnitude of the influence contribution of all variables is 31.0% and the rest is influenced by other variables not examined in this study.

Pengaruh Profitabilitas, Leverage, dan Tata Kelola Perusahaan terhadap Tax Avoidance: Studi Empiris Perusahaan Pertambangan yang Terdaftar di Bursa Efek Indonesia

This study aims to examine the effect of profitability, leverage, and corporate governance on tax avoidance. This study used the secondary data obtained from the annual report of mining companies listed on the Indonesia Sock Exchange from 2017 to 2021. Sample was selected by purposive sampling technique, using some criteria and resulted 19 companies. Data was analysis by multiple linear regression analysis models. The results of this study showed that profitability, leverage, and the element of corporate governance of institutional ownership have a significant positive effect on tax avoidance as measured using proxy effective tax rate. Meanwhile, the elements of corporate governance of audit committee and audit quality have no significant effect on tax avoidance as measured using proxy effective tax rate.

The Influence of Brand Equity of Wings Products on the Business Development of PT. Surya Setia Sejahtera during the Covid-19 Pandemic, Palu, Central Sulawesi

This study aims to determine the effect of the Brand Equity of Wings products on the business development of PT. Surya Setia Sejahtera Palu, using an explanatory research approach, while the total sample is 50 consumers of Wings products, with data collection techniques using a questionnaire. The calculation results, using multiple linear regression model analysis, based on the results of the F test, show that the Brand Equity Wings product, which consists of variables Brand awareness, Perceived quality, Brand association, and Brand loyalty jointly (simultaneously) have a significant effect on the business development variable of PT. Surya Setia Prosperous Palu. The t-test calculations show that the Brand awareness variable partially does not substantially impact the business development variable of PT. Surya Setia Prosperous Palu. While the variables Perceived quality (X2), Brand association, and Brand loyalty partially have a significant influence on the Wings Product business development variable at PT. Surya Setia Prosperous Palu.

Biomechanical response of the above-ground organs in tomato seedling at different age levels under wind-flow disturbance

The wind-flow disturbance is a potential green biophysical method for preventing tomato seedlings from overgrowth in plant factories. Firstly, the biomechanical properties of the leaf, stem, and lateral branch in the tomato seedling at five age levels were determined by uniaxial tension tests. After which, five fluid-solid coupled finite element (FE) models were developed, each with a wind field and one of the five ages of seedling model formed by a stem and several lateral branches and leaves. The FE model with average tissue biomechanical data was capable of reproducing the experimental swing angle vs. time curve. Three multiple linear regression analysis models revealed that the strong seedling index was the most significant factor affecting the maximum stress in the tomato seedling, followed by the wind velocity and seedling age. When the strong seedling index, wind velocity and seedling age were 0.02, 2 m/s, and 25 days, the maximum Von Mises stress in the leaf and the lateral branch exceeded their failure stress, indicating that the inhibition of overgrowth seedling under wind-flow disturbance can be attributed to the tomato seedling's micro-mechanical damage caused by wind and result in further physiological response. This study provides an effective method for objectively investigating the biomechanical response of the internal tissues in tomato seedling subjected to wind-flow disturbance (stimulation), which cannot be achieved through actual experiment observation.

Analisis Pengaruh Relationship Marketing, Kualitas Layanan, dan Penggunaan M-Banking Terhadap Loyalitas Nasabah PT Bank Syariah Indonesia (Studi Kasus pada Masyarakat di Kota Semarang)

<p><em>This study aims to analyze the significance of the effect of relationship marketing, service quality, and the use of m-banking on customer loyalty at PT Bank Syariah Indonesia Tbk in Semarang City, either simultaneously or partially. The population in this study were all customers of PT Bank Syariah Indonesia Tbk in Semarang City. The sampling technique used was purposive sampling technique as many as 102 respondents. The data used in this study is primary data obtained through the distribution of questionnaires. The data analysis model used multiple linear regression analysis model. While the data analysis technique used the F statistical test, the coefficient of determination (R</em><em><sup>2</sup></em><em>) test, and the t statistic test which was processed using the SPSS 21.00 program.</em></p><em>The results of the analysis and discussion show that relationship marketing, service quality, and the use of m-banking simultaneously have a significant effect on customer loyalty at PT Bank Syariah Indonesia Tbk in Semarang City. Partially, relationship marketing and service quality have a positive and significant effect. While the use of m-banking has a positive but not significant effect on customer loyalty at PT Bank Syariah Indonesia Tbk in Semarang City. Implementation of the results of this study PT Bank Syariah Indonesia Tbk needa to continue to strive to retain customers and increase customer loyalty. This can be realized in several ways, one of which is by optimizing relationship marketing and service quality for it’s operations.</em>

A study of Lean Production and Quality Management on Production Performance: The Evidence in High-tech Manufacturing Companies in China

Based on the relevant studies of lean production, production technology improvement, quality management and production performance, the relationship model of lean production, production technology improvement, quality management and production performance of high-tech manufacturing companies is constructed, and the influence mechanism of lean production and production technology improvement on production performance of high-tech manufacturing companies is revealed. Specifically, by systematically reviewing relevant theories and existing research results, this paper proposes a logical idea of “lean production, production technology improvement — quality management — production performance”, discusses and proposes relevant research hypotheses according to the relationship between variables in the theoretical model, and sends out questionnaires to Chinese high-tech manufacturing companies on a large scale, and recovers 425 questionnaires. The incomplete or invalid questionnaires with obvious errors were eliminated, and 411 valid questionnaires were finally obtained. The statistical analysis software SPSS 24.0 and AMOS 24.0 were used for reliability analysis, validity analysis, exploratory factor analysis, typical correlation analysis of the collected data, multiple linear regression analysis model and mediation effect model was established. Test the theoretical paper. In this paper, a total of 7 research hypotheses are proposed, among which 7 hypotheses are supported by the survey data. Combining qualitative analysis and quantitative analysis, this paper draws the following conclusions: (1) Lean production has a significant positive impact on the production performance of high-tech manufacturing companies; (2) The improvement of production technology has a significant positive effect on the production performance of high-tech manufacturing companies; (3) Quality management has a significant positive effect on the production performance of high-tech manufacturing companies; (4) Quality management has a partial mediating effect between lean production and production performance of high-tech manufacturing companies; (5) Quality management plays a partial mediating role between production technology improvement and production performance of high-tech manufacturing companies.

Estimating meat consumption based on economic indicators using linear regression analysis approach: A case study of Türkiye

The main idea of this study is to investigate Türkiye’s meat consumption, projection and supplies by using the structure of the Turkish meat industry and Turkish economic indicators. This present study develops several models for the analysis of meat consumption and makes future estimations based on the Regression Analysis Meat Consumption Model (RAMCM). Four forms of Regression Analysis models are used to estimate meat consumption. These models are named Multiple Linear Regression Analysis (MULIRA), Linear Regression Analysis (LIRA), Polynomial Linear Regression Analysis (POLIRA), and Logarithmic Linear Regression Analysis. The models developed in the linear and non-linear forms are applied to estimate meat consumption in Türkiye based on social and economic indicators; Population, Gross National Product (GNP) per capita, Imports of goods and services (% of GDP), Exports of goods and services (% of GDP), electricity consumption per capita, unemployment, Gross capital formation (% of GDP) figures. It may be concluded that the Multiple Linear Regression Analysis models can be used as alternative solutions and estimation techniques for any country's future meat consumption values.

Modeling the Influence of Expropriated Farmers' Determinants on Compensation Payments Using Multiple Regression

In recent years, Rwanda's economic shift has been triggered by expropriation for land conversion in areas of urbanization, roadways, modern village settlements, and agricultural modernization. Even though various studies on expropriation have been carried out to elucidate constraints associated with expropriation, as far as we know, no Multiple Linear Regression (MLR) analysis models have been used to determine the land-lost farmers' profiles' association with compensatory payments. This study was carried out in the Eastern Province of Rwanda. This study investigated how the expropriated farmers' profiles can influence both the compensatory payment appraisal and expropriation for land conversion. The MLR model was utilized to ascertain the relationships between the response variable (compensatory payments) and the explanatory variables (expropriated farmer profiles). Data were obtained using a questionnaire administered to 90 expropriated farmers selected using purposive and multi-stage sampling techniques and analyzed using STATA. The MLR showed a good fit of the model (R2 = 0.6900) with the results that farmer's age, means of acquiring land (the fact of owning land from inheritance), cropping systems (the fact of mono-cropping practice), and satisfaction (the fact of being satisfied) showed statistically significant (p £ 0.05) association with compensatory payments; whereas "ubudehe" (the fact of being a high-income earner) and civil status (the fact of being married) were statistically significant at 10%. An important implication of these results is that in the perspective of expropriation for infrastructure developments that affect farmers' properties, the MLR model can solve several issues associated with this process. As a recommendation, governments, investors, expropriating agencies, and property valuers are encouraged to carry out the process of land expropriation by exploring and controlling the significant factors influencing the process.

Assessment of Some Water Quality Parameters in the Storm Sewer Network at Ramadi City, Iraq

This study aims to assess the quality of storm sewer water in Ramadi city before its discharge into the Euphrates River and Al-Warrar Canal. Several samples were taken from the storm sewer in two different periods October and April months. Samples were tested in laboratories which included (PH), electrical conductivity (EC), alkalinity (Alk), total hardness (T.H), calcium (Ca), biological oxygen requirements (BOD5), chemical oxygen requirements (COD), nitrate (NO3). sulfate (SO4) dissolved solids (TDS), suspended solids (TSS), and some heavy metals such as copper (Cu) and zinc (Zn). In this study, the authors suggested a new approach for calibrating WQI values using the multiple linear regression (MLR) model and coefficients analysis The results showed that the (MLR) model is acceptable, the multiple linear regression analysis (MLP) was applicable to calibrate WQI values, and new WQI equation with four variables was developed (SO4, BOD5, TSS and TDS), The results showed that the MLR model has a coefficient of R2 equal to (0.859), which indicates that 85.9% of the variance of the data was explained as well as obtaining significance values greater than 0.05 for each of the absolute WQI value. According to analysis, SO4 is the parameter that has the greatest effect on WQI.

Pengaruh IPM, Investasi, dan UMP terhadap Tingkat Pengangguran Terbuka di Jawa Timur Tahun 2013-2020

Economic development is an effort to improve people's living standards through expanding job opportunities and directing the distribution of income evenly. However, in reality there are still many problems that occur, especially in unemployment. The purpose of this study was to determine the effect of the variable Human Development Index, Investment, and Provincial Minimum Wage on the open unemployment rate in East Java in 2013-2020. The method used in this study is a quantitative method with multiple linear regression analysis model. The data used are secondary data obtained from BPS. This study shows that the HDI and Investment variables have a positive influence on the open unemployment rate. However, the UMP variable has a negative effect on the open unemployment rate in East Java in 2013-2020. This study contributes to the existing literature that it is not always the HDI, Investment, and UMP variables that can affect the open unemployment rate which can hinder economic growth.

Influence of cohesion on California bearing ratio of clay–gravel mixtures

An understanding of the behavior of cohesive sediment is required to solve various engineering problems such as scour around bridge elements, mitigation of soil erosion, pavement design, river bed degradation, stable channel design. Pavement foundation designers principally use the California bearing ratio (CBR) to describe the subgrade and subbase materials and their strength. Several laboratory experiments were done to study the variation in the CBR of cohesive mixtures comprised of clay–gravel mixtures. Nine different clay–gravel mixtures were used in which the clay content varies from 10% to 50% by weight. The variation of the CBR with clay percentage, moisture content, and undrained shear strength parameters was studied. The CBR value reduces with the increase in the moisture content and clay fraction in the mixtures and increases with an increase in the dry density of the mixture under unsoaked conditions. The CBR also increases with the increase of the angle of internal friction of clay–gravel mixtures. A functional relation has been identified to estimate the CBR of clay–gravel mixtures. Using multiple linear regression analysis (MLRA), a relation is proposed to estimate the CBR of clay–gravel mixtures under unsoaked conditions. A statistical analysis was done to judge the behavior of the pertinent variables on the CBR. The proposed relation predicts the CBR of clay–gravel mixtures very well. Artificial neural network (ANN) analysis using R programming was also done to determine the effects of the pertinent variables on the CBR. ANN methodology was applied to predict the contribution of each variable. Three different methods: Garson algorithm, Olden algorithm, and Lek's profile model are used to assess the influence of variable parameters. The Olden algorithm and Lek's profile both show positive association of cohesion with CBR in an unsoaked condition. The role of moisture content was found to be marginally negative in the Olden algorithm and Lek's profile results. It is found that both the ANN and MLRA models are accurate in predicting the CBR of clay–gravel mixtures. It was further found that the MLRA and ANN models are reliable and rapid tools for correct assessment of the CBR of cohesive soil mixtures using the basic soil properties.

PENGARUH MINAT BELAJAR DAN BIMBINGAN BELAJAR BAHASA ARAB AL-MUFLIHIN TERHADAP HASIL BELAJAR SISWA DI KABUPATEN MAJENE

The purpose of this study was to determine the effect of interest in learning and Arabic tutoring Al-Muflihin on student learning outcomes in Majene Regency. This type of research is quantitative and the research design uses ex post facto research methods using multiple linear regression analysis models. The subjects in this study were 20 students, who were taken using a saturated sampling technique. From the research results, there is a positive and significant influence between learning interest on student learning outcomes, with regression equation analysis Y = 21.319 + 0.572X. The value of the coefficient of determination is 50.8% and the remaining 49.2% is influenced by other factors. There is a positive and significant influence between tutoring on student learning outcomes, with regression equation analysis Y = 26.395 + 0.515X. The coefficient of determination is 85% and the remaining 15% is influenced by other factors. There is a positive and significant influence between learning interest and tutoring on student learning outcomes, with regression equation analysis Y = 2.419 + 0.295X1 + 0.421X2. The value of the coefficient of determination X1 and X2 is 95.7% and the remaining 4.3% is influenced by other factors not included in this study. So the conclusion is that there is a significant relationship between learning interest and Al-Muflihin Arabic tutoring on student learning outcomes in Majene Regency.

The Impact of Household Consumption and Investment on Economic Growth

In real economic activity, economic growth is the financial development of goods and services sold by the state, such as increased production of industrial goods, infrastructure development, increased number of schools, increased production of goods. services, and increased production of capital goods. This study aims to determine the effect of household consumption and investment on Indonesia's economic growth. This is a quantitative study and uses Indonesian data. This quantitative research uses the Ordinary Least Square (OLS) method and secondary data in the form of time series data collected by BPS (Central Bureau of Statistics). This study was analyzed using a multiple linear regression analysis model conducted with SPSS version 21 software. The variable of this research is economic growth in terms of GDP at constant prices, based on usage, household consumption and investment in Indonesia. The results showed that (1) household consumption had a significant negative effect on Indonesia's economic growth, (2) investment had a significant positive effect on Indonesia's economic growth, and (3) simultaneously household consumption and investment had a significant positive effect on Indonesia's economic growth.

Indonesian Islamic Comercial Banks Profitability: Role of Murabahah Financing, Musyarakah Financing, NPF, and BOPO

This study to analyze the significance of the effect of Murabahah Financing, Musyarakah Financing, Non-Performing Financing (NPF), and Operating Expenses on Operating Income (BOPO) on Profitability at Islamic Commercial Banks in Indonesia for the 2018-2022 period. We employ 6 (six) Islamic Commercial Banks in Indonesia for the 2018-2022 period, which were selected using Purposive Sampling technique. The analysis model used in this research is the Multiple Linear Regression Analysis Model processed with the SPSS 26.00 program. The results of hypothesis proving and discussion show that the effect of Murabahah Financing, Musyarakah Financing, Non-Performing Financing (NPF), and Operating Expenses on Operating Income (BOPO) simultaneously has a significant effect on Return on Asset (ROA). Partially, the Murabahah Financing ratio has a positive and significant effect, Musyarakah Financing has a negative but significant effect, the Non-Performing Financing (NPF) ratio has a negative but insignificant effect, and Operating Expenses on Operating Income (BOPO) has a negative and significant effect on ROA at Islamic Commercial Banks in Indonesia for the period 2018- 2022.

The effect of sleep disturbance on the association between work–family conflict and burnout in nurses: a cross-sectional study from South Korea

BackgroundSleep disturbances can lead to work–family conflicts and affect the mental health of nurses. This study aimed to investigate the mediating effect of sleep disturbance on the association between work–family conflict (WFC) and burnout in nurses.MethodsResponses to a questionnaire from 156 nurses working in a hospital in South Korea were analyzed. Multiple linear regression analysis and PROCESS Macro Model 4 were used to analyze the mediating effect of sleep disturbance on the relationship between WFC and burnout. A bootstrapping approach was used to test the statistical significance of the indirect parameter effects.ResultsThe WFC of nurses had a positive correlation with sleep disturbance and burnout. Moreover, sleep disturbance completely mediated the association between WFC and burnout.ConclusionsNursing administrators should pay careful attention to WFCs that interfere with nurses’ sleep and reduce their sleep quality, and design suitable working schedules that minimize the effects of WFC. In addition, hospital administrators should improve shift scheduling to ensure good sleep quality and reduce the health effects of WFC among nurses.

Farmer’s perception of the performance of a field agricultural extension agent during Covid-19 pandemic in Jember Regency

The Covid-19 Pandemic in Indonesia has an impact to agriculture and extension activities. Agricultural extension activities during the Covid-19 pandemic were carried out used online media such as Whatsapp Groups, Youtube and radio, whereas extension activities involving many people were temporarily removed. Agricultural extension agents are agents of change related with farmers. So that, it is important for farmers to evaluate the performance of agricultural extension workers during the Covid-19 pandemic, so that the benefits of extension activities can feel by all farmers. The purpose of this study was to analyze the perceptions and factors that influence farmers’ perceptions to the performance of Field Agricultural Extension during the Covid-19 pandemic in Jember Regency. This research is located in Jember Regency and was conducted from July 2021 to December 2021. The sampling technique was cluster random sampling with a total of 200 respondents. The data collected in this study were analyzed by statistical descriptive analysis and multiple linear regression model analysis. The results show that farmers’ perceptions of the performance of agricultural extension workers during the Covid-19 pandemic are very satisfied. The factors that influence the perception of farmers are the frequency of extension, the level of farmer’s participation, and farmer’s knowledge. Meanwhile farmer’s experience, farmer’s group class, and land tenure had no effect on farmers’ perceptions of the extension workers’ performance.

Investigating the Effect of Government Spending on the Human Development Index in Simalungun Regency, Indonesia

This research aims to analyze the effect of government spending on health, education, and infrastructure on affecting the human development index (HDI) in Simalungun Regency partially and simultaneously. This research uses multiple linear regression analysis models. Sources of data used in the form of secondary data obtained from the publication data of the Central Statistics Indonesia (BPS) and data Regional Development Planning Agency (BAPPEDA) Simalungun Regency with the period 2003-2020. Partially, the variables of government spending in the health, education, and infrastructure sectors have a positive and no significant effect on the human development index in Simalungun Regency. Meanwhile, simultaneously, government spending variables in the health, education, and health sectors have a significant effect on HDI in Simalungun Regency. And then Government spending in the infrastructure sector has the most dominant effect on HDI in Simalungun Regency compared in health and education. The coefficient of determination (R2) explains the variables of the health sector, the education sector, and the infrastructure sector can explain the variation of the HDI variable by 0.750 or 75.0%. While the rest is explained by other variables do not study in this investigation.