Simple Multiple Linear Regression Research Articles

PENGARUH KUALITAS LAYANAN DAN PROMOSI TERHADAP KEPUASAN PELANGGAN PT ADHI KARYA, TBK

<em>To determine the effect of service quality and promotion on customer satisfaction, PT. Adhi Karya, Tbk. The data used are primary data by giving questionnaires to customers who happen to meet. The analytical method used is simple linear regression analysis and multiple linear regression analysis. The results showed that the quality of service and promotion has a significant effect on customer satisfaction. PT. Adhi Karya, Tbk.</em>

Forecasting COVID-19 daily cases using phone call data

The need to forecast COVID-19 related variables continues to be pressing as the epidemic unfolds. Different efforts have been made, with compartmental models in epidemiology and statistical models such as AutoRegressive Integrated Moving Average (ARIMA), Exponential Smoothing (ETS) or computing intelligence models. These efforts have proved useful in some instances by allowing decision makers to distinguish different scenarios during the emergency, but their accuracy has been disappointing, forecasts ignore uncertainties and less attention is given to local areas. In this study, we propose a simple Multiple Linear Regression model, optimised to use phone call data to forecast the number of daily confirmed cases. Moreover, we produce a probabilistic forecast that allows decision makers to better deal with risk. Our proposed approach outperforms ARIMA, ETS, Seasonal Naive, Prophet and a regression model without call data, evaluated by three point forecast error metrics, one prediction interval and two probabilistic forecast accuracy measures. The simplicity, interpretability and reliability of the model, obtained in a careful forecasting exercise, is a meaningful contribution to decision makers at local level who acutely need to organise resources in already strained health services. We hope that this model would serve as a building block of other forecasting efforts that on the one hand would help front-line personal and decision makers at local level, and on the other would facilitate the communication with other modelling efforts being made at the national level to improve the way we tackle this pandemic and other similar future challenges.

PENGARUH KUALITAS PELAYANAN AKADEMIK DAN PROMOSI TERHADAP MINAT SISWA BARU DI MADRASAH

In the world of education, many private schools have sprung up which will result in competition between schools in obtaining students. It can be seen that fostering new student interest in a school can be carried out by improving the academic services provided by the international standard madrasah, Amanatul Ummah, promotion by international standard madrasah community relations, Amanatul Ummah. Mojokerto, and which one has more influence on the quality of academic services and promotion on the interest of new students at MBI Amanatul ummah pacet Mojokerto. This study uses quantitative data analysis techniques. Types of data collection using a questionnaire, test instruments using validity and reliability tests. classical assumption test and hypothesis testing using simple linear regression test and multiple linear regression. The results of this study indicate that the results of data analysis using the F test and t test obtained significant simultaneous test data (F test) of 0.000 and an F coefficient value greater than the F value (F count = 47.863> F 0.1 = 2.37 ). This means that there is a significant positive effect on the quality of academic services and promotion on the interest of new students at MBI Pacet Mojokerto. The greatest relationship to variable Y (new student interest) is shown by variable X2 (promotion), namely 0.514 or 51.4%.

Analysis of Factors That Influence Decision Making Invest in Capital Markets in Millennial Generations

This study aims to analyze the factors that influence the decision making of investors investing in the capital market. The sampling method used in this study was purposive sampling method, the sample used in this study was the millennial generation in Jakarta who had invested in the capital market. Sample size determination based on Slovin formula. The data used in this study are primary data in the form of questionnaires and secondary data in the form of library studies. The analysis technique in this study is simple linear regression and multiple linear regression. The results of research that have been carried out both in partial and simultaneous testing show that all variables, namely knowledge, risk, income, capital market training, and motivation have a significant positive effect on investment decisions.

The Effects of Principal’s Decision-making, Organizational Commitment and School Climate on Teacher Performance in Vocational High School Based on Teacher Perceptions

<p style="text-align:justify">This quantitative research aims to analyze the effects of the principal's decision-making, organizational commitment and school climate on teacher performance in vocational high school. The research sample was 160 vocational school teachers in North Minahasa Regency with simple random sampling method. The data were collected using a Likert scale questionnaire 25 with statements. The data analysis was performed using simple linear regression and multiple linear regression. The results showed that the principal's decision-making, organizational commitment and school climate had a positive and significant effect on the performance of vocational school teachers, both partially and simultaneously. The results of this research can be an important reference for educational administrators at vocational high school level to design school strategies and policies that can encourage increased teacher performance to achieve better school productivity.</p>

PENGARUH JUMLAH PENGHASILAN MARGIN PEMBIAYAAN MURABAHAH DAN ISTISHNA TERHADAP LABA PERUSAHAAN PERBANKAN DI INDONESIA

The purpose of this studdy wasto deetermine theeffect off murabahah dan istisna financing margin income simultaneously on the profits of Islamic bank companies in Indonesia. The miethod useed iis descriiptive methiod. The typ of researc date uses quantitative data types. Sources of research data used in this study are secondary data sources obtained from the financial statements of PT. Bank Muamalat Indonesia originating from www.bi.go.id. Analysiis ofi the date used is descriptive analysis, simple regression analysis and multiple linear regression using the te teist dan fi est wiiith ia quantitative approach that uses secondary data types in the form of quarterly financial statements published by PT.Bank Muamalat Indonesia for the 2014-2016 period. The analysis techniqueused is descriptive analysis, multipli linearegression analyisis, multiplie regresion analysiys, simple correlation analysis, multiple correlation analysis, determination analysis, t test analysis and F tes for data proocessing used SPSS Windows 16.00 and MiccrosoftExcel 2010 as a tool. . The results of the three variables research are:(1) murabahah margin income is obtained ttable> tcount (1,158> -0,331) meaning thiat theire iis a negative and insignificant influience beitween murrabahah margiin iincome oon company profits. (2) Istishna MarginRevenues 'obtained by the value ttable> tcount (1.158> 0.315) means thait theire iis no siignificant positive efect betwieen istisna margin earnings' ons company profits. (3) Murabahah and istishna margin income 'obtained by the value of Ftable> Fcalculation (0,2,228> 0,91) means that there is an insignificant positive effect between murabahah and istishna margin income' on company profits.

Accuracy Assessment and Normalisation of Water Spread Area Estimate from Multi-sensor Satellite Data

Water spread area is one of the few parameters that can be easily derived using multispectral satellite data. However, due to limitation in land–water boundary pixel delineation and availability of area estimate from simultaneous images of different spatial resolutions, it poses serious challenges for accurate estimation of water spread area. The area estimated from data of different resolutions is not the same owing to many factors like shape and size of the water body and the efficiency of the approaches to delineate land–water boundary pixel. In addition to this, multiple coverage of same water body from sensors of different resolutions will lead to varying water spread area estimates. In order to assess the effect of these factors on water spread area estimate, a study was undertaken to assess the accuracy of water spread area estimate using the field-based measurement and to establish relationship for normalisation of water spread area estimate from different resolution sensors. In this study, water boundary was traced by collecting continuous measurements of location with the help of satellite-based positioning system. The study showed that water spread area estimated through linear spectral unmixing of images from LISS IV, LISS III, AWiFS and MSI sensors resulted in better estimate compared to the index-based method. The error in estimate was less than 5% in all the cases except for AWiFS-based estimate for the smaller water body. The study also concluded that either simple linear regression equation or multiple linear regression equation can be used to normalise the water spread area estimated from different sensors.

The Effect of Organizational Culture, Organizational Justice, and Organizational Commitment on Organizational Citizenship Behavior (OCB)

Organizational citizenship behavior (OCB), which is known as extra-role behavior, is an important factor for the organization to maintain the survival and achievement of organizational goals. OCB is very effective to be applied in human resource management because it can direct employees to provide performance that is more than just carrying out their formal duties. This study aimed to determine the influence of organizational culture, organizational justice, and organizational commitment to employee OCB at a vocational high school in the South Tangerang area, Indonesia. The research was quantitative study with a population of all school employees as many as 70 people. The sampling technique used nonpropability sampling, namely saturated samples. Data analysis was performed using a simple correlation analysis method and multiple linear regression with the help of IBM SPSS version 23. The results showed that organizational culture, organizational justice, and organizational commitment had a positive and significant effect on OCB either partially or simultaneously.

Geophysical and hydrophysical evaluation of groundwater around the Igbenre Ekotedo dumpsite Ota, Southwest Nigeria, using correlation and regression analysis

A study involving geophysical survey and groundwater analysis was carried out at the Igbenre Ekotedo dumpsite in Ota, Southwest Nigeria. The aim was to monitor and track the depth of leachate contamination around the dumpsite. A proposed simple multiple linear regression (MLR) model of groundwater total dissolved solids (TDS) was also developed. This was achieved by correlating the observed TDS of groundwater samples collected within and around the vicinity of the dumpsites with multiple terrain conductivity data derived from a geophysical method. The results of the electrical resistivity tomography (ERT) obtained along four profile lines in August 2014, and a time-lapse survey in December 2015 delineated leachate plumes as low-resistivity zones ranging between 0.54 and 12.5 Ω m around the dumpsite, with good correlation between the wet and dry season models. The results also showed that leachate from the decomposed refuse materials has polluted the subsurface under the dumpsite from the surface to a depth of about 45 m, and by extension contaminating groundwater aquifer around the area. Results from the electromagnetic (EM-34) experiment and groundwater TDS parameters from seven (7) boreholes around the vicinity of the EM profiles showed a strong positive correlation. Therefore, a simple multiple linear regression (MLR) TDS model that relates the TDS data obtained from boreholes to the geophysical parameters obtained from the EM-34 data (HD 20, HD 40, and VD 40) was developed for the purpose of efficient groundwater resources monitoring and management around the dumpsite and their communities. The predictive power of the developed MLR TDS model was also apprised to determine the feasibility of using the TDS model to predict and estimate groundwater TDS around the study area. The developed TDS model can be reliably deployed for groundwater TDS estimation and monitoring around the study area where there are no boreholes, but with only terrain conductivity data. However, where there are borehole and hand-dug wells, terrain conductivity data around the area alone can be applied to the model to determine TDS concentration in groundwater, thus reducing the time and cost of determining and monitoring both parameters independently.

Prediction of IC50 Values of 2−benzyloxybenzamide Derivatives using Multiple Linear Regression and Artificial Neural Network Methods

In this study, six molecular descriptors were selected from a pool of variables using stepwise regression to built a QSAR model for a series of 2-benzyloxy benzamide derivatives as an SMS2 inhibitor to reduce atherosclerosis. Simple multiple linear regression (MLR) and a nonlinear method, artificial neural network (ANN), were used to modeling the bioactivities of the compounds. Modeling was carried out in total with 34 compounds of 2-benzyl oxybenzamide derivatives. PCA was used to divide the compounds into two groups of two training series and tests. The model was constructed with 27 combinations as training set, then the validity and predictive ability of the model were evaluated with the remaining 7 combinations. While the MLR provides an acceptable model for predictions, the ANN-based model significantly improves the predictive ability. In ANN model the average relative error (RE%) of prediction set is lower than 1% and square correlation coefficient (R2) is 0.9912.

PENGARUH BIAYA AUDIT TERHADAP KUALITAS AUDIT DAN DETERMINAN BIAYA AUDIT

PENGARUH BIAYA AUDIT TERHADAP KUALITAS AUDIT DAN DETERMINAN BIAYA AUDIT

Multiple linear regression and thermodynamic fluctuations are equivalent for computing thermodynamic derivatives from molecular simulation

Partial molar properties are of fundamental importance for understanding properties of non-ideal mixtures. Josephson and co-workers (Mol. Phys. 2019, 117, 3589–3602) used least squares multiple linear regression to obtain partial molar properties in open constant-pressure ensembles. Assuming composition-independent partial molar properties for the narrow composition range encountered throughout simulation trajectories, we rigorously prove the equivalence of two approaches for computing thermodynamic derivatives in open ensembles of an n-component system: (1) multiple linear regression, and (2) thermodynamic fluctuations. Multiple linear regression provides a conceptually simple and computationally efficient way of computing thermodynamic derivatives for multicomponent systems. We show that in the reaction ensemble, the reaction enthalpy can be computed directly by simple multiple linear regression of the enthalpy as a function of the number of reactant molecules. Non-linear regression and a Gaussian process model taking into account the compositional dependence of partial molar properties further support that multiple linear regression captures the correct physics.

Radial Variation of Wood Density in <i>Pinus kesiya</i> Royle ex Gordon

The present study was carried out at breast-height cross-sectional discs collected from pine forest of Jaintia Hills of Meghalaya. The aims of the study were (a) to determine wood density variations from pith to bark and (b) to see the relationship of wood density with age, distance from pith, ring width and growth rate by using simple linear and multiple linear regression models. It was observed that wood density increased irregularly from pith to bark. Age and distance from pith exhibited positive and highly significant relationship with wood density for all trees and pooled data whereas ring width and growth rate were negatively and significantly related with wood density The multiple linear regression model obtained with these variables indicated that both age and ring width are the best predictors of wood density

Localized linear regression methods for estimating monthly precipitation grids using elevation, rain gauge, and TRMM data

Accurate estimation of the spatial distribution of precipitation is crucial for hydrologic modeling. To achieve the realistic estimation of precipitation, developing a ground-based observatory system is a costly and time-consuming strategy compared with other solutions such as using a combination of satellite- and ground-based observations. In this paper, to improve the estimation accuracy of spatial precipitation variation, various linear regression methods were used that combine digital elevation model (DEM) data, rain gauge observations, and Tropical Rainfall Measuring Mission (TRMM) products. Specifically, fuzzy cluster-based linear regression (FCLR), local multiple linear regression using historical similarity (LMLR-HS), model tree (MT), and moving least squares (MLS) were used in the proposed methodology based on local data behavior. The results were compared with those obtained from multiple linear regression (MLR) methods including simple multiple linear regression (SMLR), robust multiple linear regression (RMLR), and generalized linear model (GLM) for monthly precipitation estimation. The study area was Namak Lake watershed, one of the largest watersheds in Iran. The results, estimated for wet and dry years (years 1999 and 2003, respectively), show superiority of local linear regression methods over the other linear methods. Based on the statistical metrics used for assessing the quality the results, FCLR and MLS outperformed other tested methods.

The Influence of School Leadership and Work Motivation toward Teacher’s Discipline

This study determined the effect of school leadership on the work discipline of teachers in Madrasah Tsanawiyah Negeri Ogan ilir. This research used quantitative methods with correlational types. Data were collected using a questionnaire. Data were analyzed using simple linear regression test analysis techniques and multiple linear regression. The results showed that 1) principal's leadership has a significant effect on teacher discipline; 2) work motivation has a significant effect on teacher discipline; and 3) principal's leadership and work motivation together have a significant effect on the work discipline.

Length of caring duration increases burden and reduces health status of cancer patients’ family caregivers in Surabaya, Indonesia

Background and purpose: The duration of care taking of cancer patients can trigger stress which impacts on the emergence of a burden which further affects the physical health of the family caregivers. This study aims to determine the effect of caring duration on the burden and health status of cancer patient's family caregivers.Methods: This was a cross-sectional study. Samples were 56 cancer patient's family caregivers who were selected by a purposive sampling technique based on specified inclusion criteria from two public health centers (PHCs) in Surabaya Indonesia. Participants completed the questionnaire which comprised of questions on caring duration, caregiver burden scale and physical health status. Statistical tests using simple linear regression and multiple linear regression were performed.Results: The average age of family caregivers was 49.91 (SD=12.24), mostly female (66.7%), while half of the patients (51.8%) were a stage III cancer patients and the most frequent type of therapy (35%) received was chemotherapy. The average of caring duration was 4.44 (SD=1.92) years, score of burden was 51.07 (SD=18.45) and score health status was 60.32 (SD=10.81). After adjusted for age, gender, cancer stage and type of therapy, caring duration was significantly associated with increased burden of family caregivers (b=9.186, 95%CI: 7.85-10.10, p<0.001) and with reduced health status (b=5.282, 95%CI: 4.50-5.85, p< 0.001)Conclusion: The longer caring duration of cancer patients causes a higher burden and also a lower health status of family caregivers. Health workers and community have an important role in reducing the burden and improving the health status of caregivers by providing supports and appropriate prevention measures.Â

THE EFFECTS OF SERVICE QUALITY ON PATIENT’S SATISFACTION IN PUSAT KESIHATAN MASYARAKAT (PUSKESMAS)

Service quality is a form of patient assessment of the level of service received with the expected level of service. Satisfaction is a feeling of pleasure or disappointment that someone feels after comparing with the services provided. Patient satisfaction with the quality of health services is needed because it causes patients to be loyal to check their health at health care institutions. This study aims to determine the effect of service quality on patient satisfaction at Puskesmas ISO, and Non-ISO certified viewed from five dimensions of service quality, tangibles, reliability, responsiveness, assurance, and empathy. Data were collected using questionnaires, and samples were taken by purposive sampling in patients who were treated at Puskesmas who had met the requirements of 600 people, namely 300 people from Puskesmas ISO and 300 people from Non-ISO. Data were analysed by using simple linear regression test and multiple linear regression with the help of Amos version 22 software. The results of bivariate tests at Puskesmas ISO, all dimensions namely tangibles, reliability, responsiveness, assurance, empathy and quality of service influence patient satisfaction, while in Puskesmas Non-ISO all dimensions of service quality and service quality do not affect patient satisfaction. The key findings demonstrates quality of service in Puskesmas ISO is better and has an impact on patient satisfaction. This research’s implication offers a guideline on issues of increasing patient satisfaction with the quality of health services, and it is essential for regulatory agencies to examine and improve the quality of public health services.

KINERJA GURU DITINJAU DARI PENGARUH LINGKUNGAN KERJA DAN PENGHARGAAN

This research aims to determine the effect of the work environment and rewards on teachers’s performance at SMPN 1 Indralaya. This research uses quantitative methods with correlational type of research. The research population was 45 people, namely the teachers at SMPN 1 Indralaya. The number of research samples were 40 people. The sampling technique in this study is simple random sampling. Data collection techniques using a questionnaire. Data were analyzed using simple linear regression test analysis techniques and multiple linear regression. Research results show that: (1) The work environment has no significant effect on the teachers’s performance at SMPN 1 Indralaya. (2) The rewards has a significant effect on the teachers’s performance at SMPN 1 Indralaya (3) Work environment and rewards together have a significant effect on the teachers’s performance at SMPN 1 Indralaya

Structural cytotoxicity relationship of 2-phenoxy(thiomethyl)pyridotriazolopyrimidines: Quantum chemical calculations and statistical analysis

AbstractPreviously, a series of pyridotriazolopyrimidines (1–6) were synthesized and fully described. The target compounds (1–6) were evaluated for their cytotoxicity against MCF-7, HepG2, WRL 68, and A549 (breast adenocarcinoma, hepatocellular carcinoma, embryonic liver, and pulmonary adenocarcinoma, respectively) cell lines using MTT assay. The tested compounds demonstrated cytotoxicity, but no significant activity. To elucidate the structure–cytotoxicity relation of the prepared pyridotriazolopyrimidines, several chemical descriptors were determined, including electronic, steric, and hydrophobic descriptors. These chemical descriptors were calculated in the polarizable continuum model (water as solvent) using density functional theory calculations at B3LYP/6-31+G(d,p). By employing simple linear regression (SLR) and multiple linear regression (MLR) analyses, the impact of the selected descriptors was assessed statistically. The obtained results clearly reveal that the cytotoxicity of pyridotriazolopyrimidines depends on their (i) basic skeleton and (ii) the type of the tested cell. Interestingly, SLR and MLR analyses show that the impact of the selected descriptors is strongly related to the tested cells and basic skeleton of the tested compounds. For instance, the cytotoxicity of subclasses 2a and 2c–2f against A459 shows strong correlation with ionization potential, hardness (η), and hydrophobicity (log P) with a correlation coefficient of 99.86% and a standard deviation of 0.53.

PENGARUH KEPERCAYAAN DIRI DAN KEMAMPUAN KOMUNIKASI TERHADAP KEMAMPUAN PUBLIC SPEAKING MAHASISWA PGSD

This study aims to determine: (1) The effect of self-confidence on the ability of public speaking; (2) The effect of communication skills on public speaking skills; (3) The effect of self confidence and communication ability on public speaking ability of Elementary School Teacher Education Students 2019, Faculty of Teacher Training and Education, University of Mataram. This research is an ex post facto study using a quantitative data approach. The subjects in this study were students of class 2019, amounting to 345 and then taken as many as 38% of the population of around 131 students. Analysis Methods of data collection using a questionnaire. Test the validity of the instrument using Product Moment correlation and reliability testing using Alpha Cronbach. Data analysis uses descriptive statistical analysis; analysis prerequisite test consisting of normality test, linearity test, and multicollinearity test; and regression analysis consisting of a simple linear regression test and multiple linear regression test. The results showed: (1) There was a positive and significant effect of self- confidence on the public speaking ability. (2) There is a positive and significant influence of communication ability on the public speaking ability. (3) There is a positive and significant influence of self-confidence and communication ability on the public speaking ability.