Linear Analysis Method Research Articles

PENGARUH PERSEPSI HARGA, PROMOSI PENJUALAN, DAN KUALITAS PELAYANAN DALAM MENCIPTAKAN LOYALITAS PELANGGAN

This study aims to determine the effect of price perception, sales promotion, and service quality in creating customer loyalty. This study uses a quantitative approach with descriptive methods, quantitative descriptive is a type of research to analyze data by describing or describing the data that has been collected.. The instrument in this study used a questionnaire and the data analysis technique in this study used an instrument test, analysis requirements test, hypothesis testing, and the method used was the multiple linear analysis method. The results of this study indicate that: (1) price perception has apositive and significant effect on customer loyalty, (2) price sales promotions have a positive and significant effect on customer loyalty, (3) service quality has a positive and significant effect on customer loyalty, (4) perception price, sales promotion, and service quality together have a positive and significant effect on customer loyalty.

Analysis of Trip Attraction Models in Morotai CBD (Central Business District)

The development of an area in land use can increase along with the increase in population in Morotai Island Regency, including the Morotai CBD area. In terms of urban transportation systems, generation and attraction have an important role in defining the development of a city, region, or area. The purpose of this research is to analyze of trip attraction modeling in the CBD area of Morotai. The concept of trip attraction modeling is analyzed using regression analysis, with various independent variables. The modeling analysis was carried out with the help of SPSS software using Stepwise multiple linear analysis methods. The results of the study show that the factors that influence the attraction of vehicle in the Morotai CBD area are : the number of visitors (X4), the ratio of visitors against the building area (X10), the ratio of employees against the number of rooms (X13), the number of rooms(X5), the ratio of employees against the building area (X11), as well as the ratio of employees against the number of rooms(X12). And from the results of linear regression analysis, the best transport attraction model was found to be Y 1 = 86.790 + 0.422X 4 – 558.735X 10 + 1.949X 13  for the motorcycle (SM) attraction model and Y 2 = 12.183 + 0.091X 5 – 26.265X 11 + 0.292X 12 for the light vehicle (KR) model.

Pengaruh tekanan, kesempatan dan rasionalisasi keuangan terhadap manajemen laba

The purpose of this study is to determine the effect of pressure, opportunity and financial rationalization on earnings management with financial stability, external pressure, financial targets as a proxy for pressure, the nature of the industry and effective monitoring as a proxy for opportunity and rationalization. The research method uses this type of research which is basic research, and the data analysis method used in this study is multiple linear regression. This study utilizes data taken from the financial statements of manufacturing companies with the food and beverage sub-sector that have been recorded and listed on the Indonesia Stock Exchange using a sampling technique that uses purposive sampling to meet the research criteria. The research period used is 6 years with a total sample data used of 84 of 14 manufacturing entities in the food and beverage sub-sector. This study uses multiple linear analysis methods with secondary data types. The results of the study show that financial targets have a negative effect on earnings management, effective monitoring and rationalization have a positive effect on earnings management, while financial stability, external pressure and the nature of the industry have no effect on earnings management

Pengaruh kepemilikan institusional, risiko bisnis, kualitas audit, ketepatan waktu pelaporan keuangan, dan struktur modal terhadap nilai perusahaan

Company value is an information or benchmark of a company seen from the company's stock price level. this makes every company vying to increase the value of the company that is sought in order to attract investors. Because high values indicate that the situation is good and shows the prosperity of the company owners. The purpose of this research is to obtain empirical evidence about the factors that affect firm value in primary consumer manufacturing companies listed on the Indonesia Stock Exchange for the 2019-2021 period. The factors used include institutional ownership, business risk, audit quality, timeliness of financial reporting, and capital structure. This study uses 87 primary consumer manufacturing companies listed on the Indonesia Stock Exchange as the population. In sampling, this study uses purposive sampling method, so as to obtain 58 primary consumer manufacturing companies listed on the Indonesia Stock Exchange as a population. This research uses multiple linear analysis method. So get the results of research which states that business risk, audit quality, and capital structure have a positive effect on firm value. While institutional ownership and timeliness of financial reporting have no effect on the company.

Derivation and analysis of a phase field crystal model for a mixture of active and passive particles

We discuss an active phase field crystal (PFC) model that describes a mixture of active and passive particles. First, a microscopic derivation from dynamical density functional theory is presented that includes a systematic treatment of the relevant orientational degrees of freedom. Of particular interest is the construction of the nonlinear and coupling terms. This allows for interesting insights into the microscopic justification of phenomenological constructions used in PFC models for active particles and mixtures, the approximations required for obtaining them, and possible generalizations. Second, the derived model is investigated using linear stability analysis and nonlinear methods. It is found that the model allows for a rich nonlinear behavior with states ranging from steady periodic and localized states to various time-periodic states. The latter include standing, traveling, and modulated waves corresponding to spatially periodic and localized traveling, wiggling, and alternating peak patterns and their combinations.

Investigation of the Earthquake Performance Adequacy of Low-Rise RC Structures Designed According to the Simplified Design Rules in TBEC-2019

In this study, earthquake performance of the structures was tested which were modeled according to the minimum criteria of simplified analysis approach proposed in TBEC-2019. For this purpose, 144 reinforced-concrete building models were designed according to parameters such as earthquake design class, building height (number of storey), number of spans, soil type and three different simplified formulas suggested in the code. The level of structural performance of buildings models was determined by the linear (L) and nonlinear performance analysis (NL) methods that given in TBEC-2019. The base shear force, top displacements and over-strength factor (Ω) of each structural model were obtained, and performance analysis was performed by comparatively. As a result of the structural analyses, it was seen that some of the buildings model designed according to minimum column sectional criteria given in simplified methods could not meet the suggested seismic performance level. While the number of structural models that provide the controlled damage (CD) level in the L analysis method is 44 (30.55%), it is 107 (74.3%) in the NL analysis method. The insufficient performance was obtained in both L and NL methods in models which have over-strength values below 3. It has been observed that multi-criteria of building performance are not met with the weakening of local soil conditions. It was also seen that the L method chosen in the performance analysis gave more conservative results with this study.

Modeling Gas Flow Velocities in Soils Induced by Variations in Surface Pressure, Heat, and Moisture Dynamics

AbstractChanges in atmospheric pressure continuously ventilate soils and snowpacks. This physical process, known as pressure pumping, is a major factor in the exchange fluxes of H2O, CO2, and other trace gases between the soil and atmosphere. Thus models of pressure pumping are relevant to many areas of critical importance. This study compares the three principal models used to describe pressure pumping. Beginning with the fundamental physical principles and whether the flow field is compressible or incompressible, these models are categorized as linear parabolic (one model—compressible) or nonlinear hyperbolic (two models—incompressible). Using observed soil surface pressure data, measured vertical profiles of soil permeability and standard linear analysis and numerical methods, this study shows that nonlinear models produce advective velocities that are one to two orders of magnitude greater than those associated with the linear model. Incorporating soil temperature and moisture dynamics made very little difference to the linear model, but a significant difference in the nonlinear models suggesting that advective velocities induced by pressure changes associated with soil heating and moisture dynamics may not always be small enough to ignore. All numerical results are sensitive to the frequency of the pressure forcing, which was band‐pass filtered into low, mid and high frequencies with the greatest model differences at low frequencies. Partitioning the pressure forcing and model responses helped to establish that mid‐frequency weather‐related phenomena (empirically identified as inertia gravity waves and solitons) are important drivers of gas exchange between the soil and the atmosphere.

Interannual variation trend of hail days in hail prone areas in Xinjiang

Hail causes significant agricultural losses in Xinjiang every year, and the study of interannual variation of hail days and its causes can provide a climatic background for hail warning and defense. This study analyzes the trends and abrupt changes in the interannual variability of hail days in the areas with frequent hail using linear trend analysis and abrupt climate change detection methods, and explains the climatic causes of these trends using atmospheric stability. The results show that areas with frequent hails in Xinjiang are located on both sides of the Tianshan Mountains and their adjacent areas, and area with the most to the fewest hail days are in the following order: Zhaosu and Bayinbruck on the Alpine Platform, Aksu region on the south side of the Tianshan Mountains, and Bortala and Kuy-Ma Basin on the north side of the Tianshan Mountains. The interannual variation of hail days in Aksu region, Bortala and Kuy-Ma Basin from 1961 - 2016 shows a linear increasing trend, but the increase is small, only 0.2 - 0.4 d per 10 a, which is contrary to the conclusion of previous studies where the number of hail days in the Chinese region showed a decreasing trend; whereas the Alpine Platforms shows a linear decreasing trend with a larger decrease of 2.5 d per 10 a. The annual number of hail days on the Alpine Platform changed abruptly in 1993 and in the Aksu region in 1978. The linear increase (decrease) in the interannual variation of the warm season modified total index leads to a linear increase (decrease) in the number of hail days on both sides of the Tianshan Mountains and on the Alpine Platform. The trend of interannual variation in the number of hail days in the hail-prone areas in Xinjiang depends on the altitude of the elevation, with a decreasing trend at higher elevations and an increasing trend at lower elevations.

A method for linear response analysis of long bridges under multi-support seismic excitation

A method for linear response analysis of long bridges under multi-support seismic excitation

PENGARUH CORPORATE GOVERNANCE DAN FAKTOR LAINNYA TERHADAP MANAJEMEN LABA

The purpose of this research is to obtain empirical evidence about the effect of managerial ownership, institutional ownership, leverage, firm size, profitability, audit committee, board size, and fixed asset turnover to earnings management. Sample used in this research are all manufacturing companies listed in Indonesia Stock Exchange consistently during the period from 2018 until 2020. Sample selection method used was purposive sampling, there were 73 companies met the criteria, resulting 219 data are taken as sample. The analysis was performed using multiple linear regressions analysis method. The results of this research show that proportion of firm size and fixed asset turnover affect earnings management, while managerial ownership, institutional ownership, leverage, profitability, audit committee, and board size have no effect to earnings management.

Time-frequency analysis-based deep interference classification for frequency hopping system

It is known that interference classification plays an important role in protecting the authorized communication system and avoiding its performance degradation in the hostile environment. In this paper, the interference classification problem for the frequency hopping communication system is discussed. Considering the possibility of the presence of multiple interferences in the frequency hopping system, in order to fully extract effective features of the interferences from the received signals, the linear and bilinear transform-based composite time-frequency analysis method is adopted. Then, the time-frequency spectrograms obtained from the time-frequency analysis are constructed as matching pairs and input to the deep neural network for classification. In particular, the Siamese neural network is used as the classifier, where the paired spectrograms are input into the two sub-networks of the deep networks, and these two sub-networks extract the features of the paired spectrograms for interference-type classification. The simulation results confirm that the proposed algorithm can obtain higher classification accuracy than both traditional single time-frequency representation-based approach and the AlexNet transfer learning or convolutional neural network-based methods.

Introduction of an exclusive, highly linear, and matrix-effectless analytical method based on dispersive micro solid phase extraction using MIL-88B(Fe) followed by dispersive liquid–liquid microextraction specialized for the analysis of pesticides in celery and tomato juices without dilution

For the first time, this research introduces a new analytical method specialized for the analysis of some pesticides in celery and tomato juices based on MIL-88B(Fe) which is matrix-effectless (relative recoveries in the range of 95–103 %) and highly linear (r2 = 0.998–0.999). Achieving low limits of detection (0.24–0.53 µg/L) and quantification (0.79–1.75 µg/L) in this method is also amazing. Moreover, the wide linearity of the method (1.75–1000 µg/L), high enrichment factors (277–379), and reasonable extraction recoveries (55–75 %) are the highlights of the developed method. Initially, the sorbent was synthesized using an autoclave-based approach. Then the resulted sorbent was subjected to Fourier transform infrared spectrophotometry, X-ray diffraction, energy-dispersive X-ray, scanning electron microscopy, and nitrogen adsorption/desorption analyses to infer the accuracy of the obtained phase. Subsequently, it was subjected to the studied juices for the analysis of the surveyed pesticides. In dispersive micro solid phase extraction, which is for the adsorption of the analytes on the sorbent and performing the cleanup step to reduce the matrix effect, the sorbent was dispersed in the solution of analytes and after the accomplishment of the adsorption, the analytes were desorbed using acetonitrile. In dispersive liquid–liquid microextraction, which was done for the aim of preconcentration, the acetonitrile phase (eluate) was mixed with µL-level of carbon tetrachloride and injected into deionized water. After centrifugation an aliquot of it was injected into a gas chromatograph equipped with a flame ionization detector. According to the gas chromatography-mass spectrometry analyses, haloxyfop-R-methyl with a concentration of 23 ± 2 µg/L was detected in tomato juice. It is confessed that confident safety assessment analysis of celery and tomato juices is available using the introduced highly-reliable analytical method.

Equivalent linearization method for seismic analysis and design of self-centering structures

Although seismic response of engineering structures can be obtained through dynamic nonlinear analysis, approximate linear elastic analysis method is often adopted to reduce the computational effort and simplify the design procedure. Due to the excellent seismic performance, self-centering (SC) concrete structures are receiving more and more attention, but there is no such an equivalent linearization method especially suitable for SC concrete structures. In this study, the influence of hysteretic behavior on maximum inelastic displacement is described conceptually, and the estimation accuracy of four classic equivalent linearization methods are explored for SC models, the results show that the absolute mean displacement errors from classic methods mostly appear in the range of 20% to 30%, and most of the mean displacement errors is negative, which is unsafe for the performance-based seismic analysis and design. Then, an empirical equivalent linearization method is proposed for SC systems by a series of dynamic nonlinear analysis and regression analysis, it is found that the estimation accuracy of the proposed method is better than classic methods, and the standard deviation of the proposed method is basically at the same level as that of the classic methods. Finally, the proposed method is applied to the displacement-based design approach, the nonlinear analysis shows that the design targets can be well meet, and the designed SC concrete structure shows superior self-centering and energy dissipation capacity.

Bifurcation analysis based on new macro two-velocity difference model

Based on the new macroscopic two-velocity difference model, this paper analyzes the linear stability of the new model and studies the nonlinear bifurcation theory. First, the linear stability analysis method is used to study the stability conditions of the shock wave in the model. Then, considering the long wave model in the coarse-grained scale, the reduced perturbation method is used to analyze the characteristics of the traffic flow in the metastable region, and the solitary wave solution of the Korteweg-de Vries (KdV) equation in the metastable region is derived. In addition, by using the bifurcation analysis method, the type, and stability of the equilibrium solution are discussed and the existing conditions of the saddle-node bifurcation are proven. Then, taking the saddle-node bifurcation as the starting point, we draw the density space-time diagram and phase plane diagram of the system. It is proven that the newly proposed model can describe complex traffic phenomena such as stop-and-go and sudden changes in stability, which is of great help to solve traffic congestion.

Using the method of linear programming and sensitivity analysis to determine the optimal production volume for some of the products of the General Company for Electrical and Electronic Industries for the year 2016

Using the method of linear programming and sensitivity analysis to determine the optimal production volume for some of the products of the General Company for Electrical and Electronic Industries for the year 2016

Parameters of Hemodynamic Allostasis in Patients of Various Age Groups with Essential Arterial Hypertension.

We determined the criteria for the diagnosis of hemodynamic allostasis and compared it with the index of allostatic load in patients of different age group with essential arterial hypertension without metabolic syndrome. The study included 87 subjects divided into 3 groups: patients with essential arterial hypertension at the age ⩽60 years (n=31; group 1), patients with essential arterial hypertension above 60 years (n=41; group 2), and healthy volunteers (n=15; age 25-69 years, group 3). The data of 24-h BP monitoring were processed by methods of linear and nonlinear rhythm analysis. Based on the analysis, parameters were identified that allow determining the state of allostatic regulation of the 24-h dynamics of BP, as well as parameters that determine the allostatic hemodynamic load on the cardiovascular system. The data obtained were compared with the index of allostatic load in patients of both groups. Regulation of the hemodynamics in patients with essential hypertension without metabolic syndrome in both age groups remained within the limits of hemodynamic allostasis forming the allostatic load on the body, which does not depend on patient's age.

Using the method of linear programming and sensitivity analysis to determine the optimal production volume for some of the products of the General Company for Electrical and Electronic Industries for the year 2016

The General company for electrical and industries in Iraq represents one of the most important companies that supply all economic sectors with the most important intermediate and consumer goods ,in addition to the needs of local demand, and the aim of the study is to find the optimum production volume for some products of the company by using the sensitivity analysis method in the linear programming model ,and to achieve the maximum possible profit for the company with the analysis and study of the reasons for the decline in the company’s low production in the previous years and to identify the most important of recommendations to advance the company’s factories, improve their industrial performance and meet the needs of local demand.

Analisis Pertumbuhan Laba Pada Sub Sektor Perbankan: Bukti Empiris Bursa Efek Indonesia

Profit growth is a measure of the company's ability to increase net profit from year to year. The purpose of this study is to examine and analyze the effect of Debt to Equity Ratio, Current Ratio, Total Assets Turnover and company size on profit growth in banking sub-sector companies listed on the Indonesia Stock Exchange during 2017-2020. The population of this study were 43 companies and the sample contained 24 companies that met the criteria. The sampling method was carried out by purposive sampling method. This study uses multiple linear regression data analysis methods, classical assumption test (normality test, multicollinearity test, heteroscedasticity test, auto correlation test), hypothesis test (t test, f test, coefficient of determination. The results show that the Debt to Equity Ratio can contribute to profit growth, Current Ratio can contribute to profit growth, Total Assets Turnover can contribute to profit growth, and Company size can contribute to profit growth

CellDrift: inferring perturbation responses in temporally sampled single-cell data.

Cells and tissues respond to perturbations in multiple ways that can be sensitively reflected in the alterations of gene expression. Current approaches to finding and quantifying the effects of perturbations on cell-level responses over time disregard the temporal consistency of identifiable gene programs. To leverage the occurrence of these patterns for perturbation analyses, we developed CellDrift (https://github.com/KANG-BIOINFO/CellDrift), a generalized linear model-based functional data analysis method that is capable of identifying covarying temporal patterns of various cell types in response to perturbations. As compared to several other approaches, CellDrift demonstrated superior performance in the identification of temporally varied perturbation patterns and the ability to impute missing time points. We applied CellDrift to multiple longitudinal datasets, including COVID-19 disease progression and gastrointestinal tract development, and demonstrated its ability to identify specific gene programs associated with sequential biological processes, trajectories and outcomes.

THE EFFECT OF PERCEIVED BENEFITS, CONSUMER TRUST AND PROMOTION ON INTEREST IN USE AND ITS IMPACT ON LOYALTY OF OVO APPLICATION USERS

This study aimed to determine the impact of perceived benefits, consumer trust, and promotion on student interest in using OVO applications and their effect on user loyalty at the Faculty of Economics, Universitas Negeri Jakarta. This study employs a quantitative method of associational research. Respondents in this study were students using the OVO application at the Faculty of Economics, State University of Jakarta, and non-probability sampling with the purposive sampling technique was utilized. This study's sample consisted of 150 respondents who utilize the OVO application. With the aid of the SPSS 26 software and a multiple linear analysis method, questionnaire-obtained data were analyzed using a multiple linear analysis approach. This study employs a Likert scale and path analysis for its scale. The findings of this study indicate that the Perceived Benefits and promotions has a significant positive effect on the desire of students at the Faculty of Economics, State University of Jakarta to use the OVO application. Meanwhile, consumer trust has no effect on students' desire to use the OVO application at the Faculty of Economics, Universitas Negeri Jakarta. Likewise, student interest in using the OVO application indicates that perceived benefits have a significant impact on user loyalty. Student interest in utilizing the OVO application at the Faculty of Economics, Universitas Negeri Jakarta demonstrates that promotion has an effect on user loyalty. Meanwhile, consumer trust has no effect on user loyalty as measured by students' desire to use the OVO application at the Faculty of Economics, Universitas Negeri Jakarta. Lastly, the variable of interest in use influences positively the loyalty of OVO application users to students at the Faculty of Economics, Universitas Negeri Jakarta.