Multiple Correlation Coefficient Research Articles

Pengungkapan pada Hubungan Sustainability Report dan Intellectual Capital terhadap Nilai Perusahaan

This research related to company value aims to analyze the relationship between sustainability reports and intellectual capital in manufacturing companies in the industrial and consumption sectors listed on the Indonesia Stock Exchange (BEI) during the 2020-2022 period. The sampling technique was purposive sampling, the results of which were 27 companies that met the research criteria. Data analysis uses SPSS Statistics 26 with descriptive statistical tests, normality tests, multicollinearity tests, heteroscedasticity tests, autocorrelation tests, multiple linear regression analysis, simultaneous tests, partial tests, and coefficient of determination tests. The research results show that sustainability reports do not provide an optimal contribution to company value. However, intellectual capital, especially the employee capital aspect, is a consideration for optimizing its contribution to company value.

STRATEGI DIGITAL MARKETING DAN KUALITAS PELAYANAN TERHADAP PENINGKATAN PENJUALAN HUNIAN HOMESTAY DI HUTA SIALLAGAN, KABUPATEN SAMOSIR

This study aims to analyse the effect of digital marketing strategies and service quality on increasing homestay sales in Huta Siallagan, Samosir Regency. Huta Siallagan is a tourist village known for its rich Toba Batak culture and is a popular tourist destination. However, homestay managers in this area face challenges in increasing sales amid increasingly fierce competition. Therefore, this study examines two important factors: digital marketing strategy and service quality, which contribute to increasing sales. The research method used is quantitative method with saturated sampling technique. The respondents of this study were 30 homestay managers or owners in Huta Siallagan. Data were collected through questionnaires that included digital marketing strategy variables (X1) and service quality (X2), as well as the dependent variable of sales increase (Y). Data analysis was conducted using multiple linear regression tests, t tests, F tests, and coefficients of determination to measure the influence of each variable. The results showed that digital marketing strategies and service quality significantly influenced the increase in homestay sales. Partially, digital marketing strategy has a more dominant influence than service quality, although both contribute positively. In the coefficient of determination, these two variables contributed 84.5% to the increase in homestay sales. In conclusion, the synergy between effective digital marketing strategies and good service quality is essential to increase homestay sales in Huta Siallagan. Therefore, homestay managers need to optimise these two aspects in order to compete and increase revenue in the tourism industry.

Joint probabilistic modeling approach for harmonic and three-phase unbalanced disturbance sources

Harmonics and three-phase imbalance are two common disturbances in power systems that interact with and affect each other, leading to more complex impacts on power system performance. To comprehensively and accurately analyze the distribution and interaction mechanisms of harmonics and three-phase imbalance, this study investigated the joint emission level of harmonic and three-phase unbalanced disturbance sources (H-TU-DS). This paper proposes a joint probabilistic emission level modeling approach. The power, harmonic, and three-phase unbalanced data of H-TU-DS are multidimensional, and the feature dataset is filtered by calculating multiple correlation coefficients to achieve dimensionality reduction without losing data information. Considering the different operating characteristics of the H-TU-DS, an improved fuzzy C-means (FCM) algorithm is applied to classify operating conditions, enabling a comprehensive and accurate analysis of the joint emission level. Based on the nonparametric kernel density function, joint probability modeling of H-TU-DS is performed using an adaptive bandwidth improvement method, effectively enhancing the accuracy of the modeling process. Finally, the effectiveness and accuracy of the proposed methods for feature dataset filtering, operating condition classification, and joint probability modeling are demonstrated through comparisons with both simulated and actual data. The proposed model facilitates the prediction and assessment of the impact of H-TU-DS on power quality after grid connection, enabling the effective prevention of power-quality problems through advanced treatment.

ВЗАЄМОЗВ’ЯЗОК КІБЕРБЕЗПЕКИ ТА ІННОВАЦІЙНОГО ПОТЕНЦІАЛУ КРАЇНИ ПІД ЧАС ТРАНСФЕРУ ТА ВПРОВАДЖЕННЯ ІННОВАЦІЙ

The article is devoted to the investigation of the relationship between innovation and cyber security in the context of forecasting and reducing risks related to cyber security during the implementation of innovations. The purpose of the study is to confirm and model the interconnection between the levels of innovation development and cyber security of the country. The work describes the concept of innovation risk and the importance of cyber security in the modern world as one of the important factors in overcoming innovation risks. The current state of cyber security was analysed based on various indices, and the impact of cyber threats on innovation processes was investigated based on a sample from 26 countries of the world. This made it possible to identify leaders and outsiders in this field, as well as trends in the development of cyber security in dynamics. It is well-founded that cyber security is a key factor for the development and implementation of innovations. To confirm the existing relationship between cyber security and innovation, the multiple correlation coefficient was calculated, and an econometric model was built using the built-in functions of MS Excel (the estimation of the model parameters was carried out using the method of least squares using the built-in "Data Analysis" package of the MS spreadsheet editor Excel for a multivariable linear model). The significance of the model was confirmed by the coefficient of determination, Fisher's test, and the level of significance of the p-value. The results of the study can be used to develop effective cyber defence strategies and contribute to the stable development of technologies in the face of growing cyber threats.

The Effect of Total Asset Turnover (TATO) and Debt to Equity Ratio (DER) on Return on Assets (ROA) at PT Indosat Tbk in 2013-2023 (Case Study on a Company Listed on Indonesia Stock Exchange)

This study aims to analyze the effect of Total Asset Turnover (TATO) and Debt To Equity Ratio (DER) on Return On Assets (ROA) at PT. Indosat Tbk from 2013 to 2023. This research method is quantitative using secondary data from PT Indosat's financial statements. The sampling technique was carried out by purposive sampling with specific criteria, namely the quarterly financial statements of PT. Indosat Tbk during the period 2013-2023. The Classical Assumption Test was used to test the research instrument, as well as Pearson Product Moment correlation analysis, coefficient of determination, t-test, f-test, and multiple linear regression to measure the influence of variables. The findings show that the relationship between TATO and ROA is very low with a correlation value of 0.146, while the relationship between DER and ROA is also very low with a correlation value of 0.115. Based on the determination analysis, the contribution of TATO and DER to ROA is only 3.2%, with 96.8% influenced by other factors outside the scope of this study

Pengaruh Ease of Use dan Information Quality Terhadap Repurchase Intention Pengguna Aplikasi Grabfood Di Kota Mataram

This research aims to determine the effect of Ease of Use and Information Quality on Repurchase Intention of Grabfood application users in Mataram City. The population in this study were all Grabfood application users in Mataram City, while the sample for this study was 100 Grabfood users using purposive sampling techniques. This type of research is associative research. Data processing in this study used SPSS 25.0 for Windows, where validity tests, reliability tests, classical assumption tests, multiple linear regression tests, significance tests (t tests) and coefficient of determination (R2) were carried out. Based on the research results, it shows that: (1) Ease of Use has a positive and significant effect on Repurchase Intention (2) Information Quality has a positive and significant effect on Repurchase Intention

The Influence of Leadership, Non-Physical Work Environment, and Occupational Health and Safety on the Work Productivity of Technician Employees PT. MADAS Elektrikal Kontraktor Tembilahan

This research was conducted with the aim of determining the direct influence of leadership variables, non-physical work environment, and occupational health and safety on the work productivity of technician employees PT. MADAS Elektrikal Kontraktor Tembilahan. This type of research uses quantitative research. The population in this study was all 42 technician employees. This research used technician employees of PT. MADAS Elektrikal Kontraktor Tembilahan as research object. The sampling method used a saturated sample, namely 42 respondents. The analytical method used in processing this research data is descriptive statistical analysis, classical assumption test, multiple linear regression analysis and coefficient of determination using a significance level of 0.05. The data processing for this research uses the help of SPSS 23 software. Based on the results of the research conducted, it shows that leadership variables, non-physical work environment, and occupational health and safety have a positive and significant effect on the work productivity of technician employees PT. MADAS Elektrikal Kontraktor Tembilahan.

An Econometric Evaluation of the Variation effect of the Nigerian Rate of Exchange on the Economic Progression

This research work investigated an econometric evaluation of the variation effect of the Nigerian rate of exchange on the economic progression between the years 1986-2017. A secondary source of data was employed in this work, which was extracted from the National Bureau Statistical Bulletin published by the Central Bank of Nigeria. Maximum Likelihood estimation of the R-software was carried out to evaluate the parameter estimate of the multiple regression coefficients and analyzed the influence of the explanatory variables (Gross Domestic Product, Unemployment and Inflation on the rate of Exchange). It was observed that the Gross Domestic Product and Unemployment rate influenced negatively on the Exchange rate but significant with (β = -1.646, t = -2.409, sig.val = 0.0228) and (β = - 0.8602, t = -3.302, sig.val = 0.00263) respectively. Nevertheless Inflation rate had positive influence on the rate of Exchange but not significant with (β = 1.311, t = 0.852, sig.val = 0.40122). The Coefficient of determination (R2 = 82.7) implies that the variation of the Nigerian rate of exchange has significant effect on the economic progression between the years 1986-2017. However, the paper recommends the following; a control of the sequential rising of inflation so as to have a stabilized rate of exchange and a promising economy for the citizens, adequate security, effective fiscal and monetary policies, as well as the provision of infrastructural facilities so that foreign investors will be attracted to invest in Nigeria.

FORECASTING THE INNOVATIVE AND DIGITAL STRENGTH OF UKRAINE’S ECONOMY ON THE BASIS OF CORRELATION-REGRESS ANALYSIS

The purpose of the research is to present the realised forecasts of Ukraine's economic power in order to find reserves for the recovery of the national economy and opportunities for the formation of digital entrepreneurship on the basis of innovative functioning, which will lead to economic growth in the medium and long term. The object of scientific research is the expenditure on SRD and S&T development by types of work in Ukraine from 2010 to 2022 and the analysis of indicators of GDP the influence of time, employment and inflation factors; expansion of digital capabilities of entrepreneurship due to the conducted R&D, which will become a guarantee of the emergence of breakthrough innovations as one of the key reserves of innovative and digital development of the country during the war and post-war reconstruction of Ukraine. Methodology. A study was conducted utilising dialectical, systematic, mathematical and statistical methods to investigate the R&D expenses by types of work in Ukraine from 2010 to 2022 and the GDP from 2011 to 2023. This analysis determined the prospective existing reserve of economic strength with positive dynamics and highlighted the necessity for a strategic format of digital business work based on innovation. A CRA was conducted to determine the strength of the relationship between SRD expenditures and time (i.e., a set of factors that consistently influence SRD funding and drive its growth trend). Fisher's test was calculated, and an econometric analysis was performed based on GDP indicators over 56 quarters, establishing the dependence of the GDP volume on the time factor and the cyclicality of seasonal fluctuations. Resluts. The conditions for accelerating the digitisation of business processes at domestic enterprises are, in particular, the presence of highly qualified S&R personnel, innovators and researchers in the country, the development of new institutes of innovative and digital development, and the transformation and adaptation of old institutes of development to the existing conditions. The obtained data of CRA show that there is a close relationship between the GDP of Ukraine and the time factor, and the direction of the relationship is direct, i.e., linear, which in this case is a positive fact. It is determined that in pursuit of the goal of restoring the innovative potential of the national economy in the post-war period and further active development of digital entrepreneurship in Ukraine, it is necessary to continue financial support for scientific research and scientific and technical developments carried out in various sectors of the economy. Practical implications. The analysed statistical data had a positive impact on the professionalism of the forecast calculations and allowed to state that in 2027, with a probability of error of 6.29%, the volume of expenditures on research and development is projected to range from 20,202.74 to 29,201.18 million UAH. The results of the CRA show that the multiple correlation coefficient (R) is 0.94, which indicates a close overall relationship between the country's GDP and three independent variables (inflation rate, unemployment rate, time factor). The linear regression equation fits the sample data well and the model is qualitative. The results of the forecast are as follows: Ukraine has the potential for post-war recovery and can develop models for post-war economic reconstruction and changes in its structure. Government officials can develop institutional instruments to attract investment and provide effective mechanisms for the future transformation of the existing labour market and human capital institution. Value / Originality. Having conducted a thorough analysis of the statistical data on the dynamics of spending on S&T development and implementation of the SRD in Ukraine in 2010-2022, the authors managed to determine the relative error of approximation – a criterion for assessing the reliability of the forecast, which amounted to 8.74% and considered the approximation to be qualitative, and the forecast for 2027 is reliable. It is determined that the regression equation is most accurate when R2 approaches its maximum value, that is, 1, and in this case, it is 0.9096, which is a good result and means that the linear regression equation fits the sample data well and the model is of high quality. And for Ukraine's economy, which is under martial law, such positive expectations for GDP and the possibility of increasing R&D spending give hope that Ukraine's economic strength is real, as confirmed by the forecast calculations.

Pengaruh Arus Kas Operasi, Sales Growth dan Return On Assets Terhadap Financial Distress

This study aims to test and analyze the effect between operating cash flow, sales growth, and return on assets on financial distress in State-Owned Enterprises (BUMN) listed on the Indonesia Stock Exchange (IDX) for the period 2017 - 2021. The method of determining the sample in this study using purposive sampling. The collection method in this study uses secondary data, namely financial reports obtained from the Indonesia Stock Exchange (IDX). This study uses classic assumption test analysis tools, multiple linear regression analysis, T test, F test and coefficient of determination using the SPSS application. Partial research results show that operating cash flow, sales growth, and return on assets have a significant effect on financial distress. Simultaneous research results show that operating cash flow, sales growth, and return on assets have a significant effect on financial distress. Keywords: , , P, dan Return On Assets.

Correlations between intraoperative and postoperative echocardiographic measurements in patients undergoing aortic bioprosthetic valve replacement: a prospective observational study.

Patient-prosthesis mismatch (PPM) should be avoided during surgical aortic valve replacement because PPM would worsen the mortality and morbidity. Diagnosis of PPM could be made using various parameters measured by intraoperative transesophageal echocardiography. However, few studies have examined which parameters correlate most accurately between intraoperative and postoperative values. This single-center prospective observational study analyzed 46 patients who underwent surgical aortic valve replacement (SAVR). Echocardiography was performed at the following 3-time points: preoperatively, intraoperatively, and 1month postoperatively. The correlation between intraoperative and postoperative measurement values, including peak velocity (PV), mean pressure gradient (MPG), effective orifice area (EOA), and effective orifice area index (EOAI), were assessed using Pearson's correlation coefficient. Moreover, to evaluate whether a multivariable linear regression model with intraoperative and postoperative stroke volume added as an explanatory variable improves the correlation, the multiple correlation coefficients were calculated. PV, MPG, EOA, and EOAI measured intraoperatively and 1month postoperatively were significantly correlated. The r values of each measurement were 0.35, 0.344, 0.411 and 0.323, respectively. The multivariable linear regression model showed that the multiple correlation coefficients for MG and EOA were 0.491 and 0.663, respectively. Intraoperative and postoperative PV, MPG, EOA, and EOAI were significantly correlated in patients undergoing SAVR with a bioprosthetic valve. The r value for EOA was 0.441, the largest among the measured values. Adjustment for stroke volume improved the strength of the correlation. Intraoperative evaluation of prosthetic valve function was considered most appropriate using EOA. University Hospital Medical Information Network Clinical Trials Registry, registration number UMIN000046164, https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000052695 .

A novel component separation method for deformation monitoring of rockfill dams

High dams are constructed in mountain valley areas with extremely complex geomorphologies, geologies, and operating environments. The dam body and foundation are subjected to large hydraulic loadings and high stress levels, where many factors affect the structural deformation of the dam, making dam safety monitoring and risk assessment difficult. Since dam deformation is critical for evaluating safe operation, a novel dam deformation monitoring model based on the component separation method is proposed, which can provide scientific significance and high application value for operational safety control. The deformation monitoring data include deformation caused by the water level, the temperature, and the time effect. The homologous monitoring sequence points are selected, and a safety monitoring model is proposed based on the physical causes and the independent component signal decomposition technology. First, the aging component can be extracted by using the correlation consistency of a specific measurement point, where the environment is almost the same at the same time of year, such as the temperature and the water level. Then, fast independent component analysis algorithm is applied to further extract the dam deformation induced by the water level and the temperature via correlation analysis. Finally, a deformation monitoring model based on the component separation can be successfully constructed by combining models of the three components. The proposed dam deformation model can overcome problems of large covariance of deformation component, large collinear interference of periodic component separation, and unstable separation. It is further applied to a high face rockfill dam, and the results shows that the multiple correlation coefficient is greater than 0.995 and the mean absolute percentage error is less than 1.37%, demonstrating the high accuracy and stable separation of the components produced by using this model.

Validity and Reliability of OpenPose-Based Motion Analysis in Measuring Knee Valgus during Drop Vertical Jump Test.

OpenPose-based motion analysis (OpenPose-MA), utilizing deep learning methods, has emerged as a compelling technique for estimating human motion. It addresses the drawbacks associated with conventional three-dimensional motion analysis (3D-MA) and human visual detection-based motion analysis (Human-MA), including costly equipment, time-consuming analysis, and restricted experimental settings. This study aims to assess the precision of OpenPose-MA in comparison to Human-MA, using 3D-MA as the reference standard. The study involved a cohort of 21 young and healthy adults. OpenPose-MA employed the OpenPose algorithm, a deep learning-based open-source two-dimensional (2D) pose estimation method. Human-MA was conducted by a skilled physiotherapist. The knee valgus angle during a drop vertical jump task was computed by OpenPose-MA and Human-MA using the same frontal-plane video image, with 3D-MA serving as the reference standard. Various metrics were utilized to assess the reproducibility, accuracy and similarity of the knee valgus angle between the different methods, including the intraclass correlation coefficient (ICC) (1, 3), mean absolute error (MAE), coefficient of multiple correlation (CMC) for waveform pattern similarity, and Pearson's correlation coefficients (OpenPose-MA vs. 3D-MA, Human-MA vs. 3D-MA). Unpaired t-tests were conducted to compare MAEs and CMCs between OpenPose-MA and Human-MA. The ICCs (1,3) for OpenPose-MA, Human-MA, and 3D-MA demonstrated excellent reproducibility in the DVJ trial. No significant difference between OpenPose-MA and Human-MA was observed in terms of the MAEs (OpenPose: 2.4° [95%CI: 1.9-3.0°], Human: 3.2° [95%CI: 2.1-4.4°]) or CMCs (OpenPose: 0.83 [range: 0.99-0.53], Human: 0.87 [range: 0.24-0.98]) of knee valgus angles. The Pearson's correlation coefficients of OpenPose-MA and Human-MA relative to that of 3D-MA were 0.97 and 0.98, respectively. This study demonstrated that OpenPose-MA achieved satisfactory reproducibility, accuracy and exhibited waveform similarity comparable to 3D-MA, similar to Human-MA. Both OpenPose-MA and Human-MA showed a strong correlation with 3D-MA in terms of knee valgus angle excursion.

PENGARUH MARKETING MIX DAN BRAND IMAGE TERHADAP KEPUTUSAN PEMBELIAN KAIN TENUN MASRAIS SEBAGAI UPAYA MEMPERTAHANKAN EKSISTENSI PRODUK LOKAL DI TOKO TENUN DUA PUTRI

This study aims to investigate the influence of marketing mix and brand image on the purchasing decisions of Masrais woven fabric as an effort to sustain the existence of local products at Dua Putri textile store. The research method employed in this study is a survey method using a written questionnaire with 100 respondents as the sample. Data analysis includes validity testing, reliability testing, classical assumption testing, multiple regression analysis, correlation coefficient, determination coefficient, and hypothesis testing (t-test and F-test) using Statistical Product and Service Solution Ver.24 (SPSS) software. The results indicate that marketing mix significantly affects purchasing decisions, brand image significantly affects purchasing decisions, and both marketing mix and brand image significantly influence purchasing decisions.

Pengaruh Celebrity endorser dan Iklan Produk Terhadap Brand awareness Produk Scarlett Whitenin di Surabaya

The aim of the research is to see the influence of celebrity endorsers and product advertising on Scarlett Whitening brand awareness. The selected population is Scarlett Whitening users in Surabaya and have purchased and used Scarlett whitening products. The sample was taken from 100 respondents who were consumers of Scarlett whitening products in Surabaya. The sampling technique uses a non-probability sampling technique with a purposive sampling approach. The type of research is associative research with a quantitative approach. Hypothesis testing includes Validity Test, Reliability Test, Classical Assumption Test, Multiple Linear Regression Test, t Test, f Test and Coefficient of Determination Test. The research results show that celebrity endorsers and product advertisements simultaneously have a positive and significant effect on brand awareness by obtaining a fcount of 19.866. Meanwhile, partially, the two independent variables have a positive and significant effect on brand awareness by obtaining Celebrity Endorser tcount of 4.546 and product advertising tcount of 4.431.

Permissible Extrapolation Justification of the Multiplicative Multifactorial Model and Its Application to the White Soot Production Technology

The solution to a specific technological problem is combined with the methodological development of a nonlinear multifactorial relationship to justify the boundaries of its extrapolation beyond the experimental range used. White soot was produced through two-stage carbonization of a silicate solution (composition, g/l: Na2O = 126.5, SiO2 = 107.7, Al2O3 = 3.1), obtained after processing waste tailings with carbon dioxide in a recirculation system. The influence of the deposition duration, temperature, and final pH value of the pulp on the formation of the specific surface area (Ssp, m2/g) of white soot was studied. The specific surface area was calculated from the average diameter of the white soot particles measured using an electron microscope. A multifactorial experiment was designed, and the experimental results were processed using a probabilistic deterministic method for experiment design (PDED) to obtain a nonlinear multiplicative combined model. A new interpretation of the subordination of the nonlinear multiple correlation coefficient R and the R2 value was given as relating to the structural and adaptive components of complex self-organizing systems. This determines their use for assessing the ratio of the basic R and extrapolated R2ranges of variation for each factor and any combinations thereof and multifactorial dependence in general. The results are presented in the form of multifactor tabular nomograms measured by the number of multifactor cells in localized areas of optimal sets that allow isolation by one or another combination of factors. The technological object of extrapolation of the ‘white soot’ production is linked to the solution of emerging methodological problems and illustrates the accessibility of the engineering application of the proposed method for combining nonlinear and linear approaches to mathematical experimental design. Doi: 10.28991/HIJ-2024-05-03-08 Full Text: PDF

Enhancing Repurchase Intention: The Impact of Service Quality and Facilities at Garuda Pontianak Hotel

This research aims to find out whether there is a relationship between service quality and facilities. With a positive data collection strategy and a sample size of 100 participants, this research applies associative methodology. Participants must be customers who have used Garuda Pontianak hotel services at least twice, in order to be considered for taking part in this research. Statistical methods used in the analysis include: multiple linear regression, correlation and determination coefficients, simultaneous testing (F test), and partial testing (t test). The data are linear, normally distributed, and show no signs of multicollinearity; these findings were confirmed by standard assumption tests. The variables included in this study contributed 61% of the variance in repurchase interest, while the remaining 39% was influenced by other factors that could not be explained. Initial research shows that the quality of services and facilities available at the Garuda Pontianak hotel has a significant effect on repurchase interest for users of Garuda hotel services in Pontianak City.

Analysis of clinical characteristics of patients with pulmonary hypertension in Chaya County, Chamdo, Tibet.

Pulmonary hypertension (PH) is a critical health issue marked by high blood pressure in the pulmonary arteries, with limited data on its clinical characteristics in the Tibetan population. The objective of this study was to examine the clinical characteristics of PH patients among Tibetan population residing in Chaya County, Changdu, Tibet. This was a retrospective cross-sectional study. A total of 94 PH patients diagnosed via echocardiography at the Internal Medicine Department of Chaya County People's Hospital in Changdu (Tibet, China) between March 2019 and October 2020 were included. Additionally, 52 non-PH inpatients were selected as the control group. Patient medical records were reviewed for demographic and clinical data, lab results, and echocardiographic findings. Student's t-test/chi-squared test between PH and control group, one-way analysis of variance (ANOVA) among control and PH subgroups, Pearson's and Spearman's correlation coefficient were used to analysis the results. Out of 1,689 inpatients in the Internal Medicine Department, 94 were identified as PH patients for analysis. The average hemoglobin level among PH patients (150.64±21.67 g/L) was similar to that observed in the normal population (146.65±17.51 g/L) at high altitude (P=0.28). Abnormal liver function indexes were observed, with 51.06% of PH patients exhibiting hyperuricemia (P<0.001 compared to control's 15.38%). The PH group demonstrated significantly elevated red blood cell distribution width (RDW)-standard deviation (50.59±6.49 vs. 43.67±3.40 fL, P<0.001) and RDW-coefficient of variation of (16.18%±3.04% vs. 13.52%±1.32%, P<0.001), along with a decreased platelet level compared to the control group [(202.55±73.67) vs. (256.63±72.85) ×109/L]. Furthermore, echocardiographic indicators related to right heart function showed correlations with red blood cell count, bilirubin, albumin, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol (multiple significant correlation coefficient r, magnitude from 0.22 to 0.54). Chronic pulmonary disease and left heart disease were identified as common etiologies of PH among Tibetan patients residing in high-altitude regions. The Tibetan population residing in high-altitude regions and diagnosed with PH displayed abnormal changes in numerous liver functional and metabolic indices, which were correlated with the morphological indices observed via cardiac ultrasound.

The Influence of Work Discipline, Organizational Culture, Quality of Work Life, and Work Motivation on Job Satisfaction (Study of SL Corp Indonesia Employees in the Purwokerto Area)

This research aims to determine the influence of work discipline, organizational culture, quality of work life, and work motivation on job satisfaction among SL Corp employees. Using Quantitative Methods with a population of 154 employees and a sample of 111 employees. Questionnaires were distributed in March-May. This research includes descriptive statistics, reliability, and basic assumptions: normality, multicollinearity, and heteroscedasticity. Model feasibility, multiple linear regression test, partial, and coefficient of determination R2 using the SPSS 26 analysis tool. The results of the analysis show that work discipline, organizational culture, and quality of work life have no effect on job satisfaction. Meanwhile, work motivation has a significant positive effect on job satisfaction and has important implications in managing human resources and increasing satisfaction among SL Corp employees.

The Influence of Price and Location on Foreign Tourists' Purchase Interest at Fairfield by Marriott Bali Kuta Sunset Road

This study aims to determine the effect of price and location on the purchase interest of foreign tourists at Fairfield by Marriott Bali Kuta Sunset Road. The population in this study were foreign tourists who had an interest in staying at Fairfield by Marriott Bali Kuta Sunset Road. The data analysis techniques used in this study were Multiple Linear Regression, t-test, f-test and Determination Coefficient using the SPSS application. Based on the results of the study, it was found that the t-value&gt; t-table = 5.521&gt; 1.660 and the significance value &lt;α = 0.00 &lt;0.05 so it can be concluded that price and location have a positive and significant effect on the purchase interest of foreign tourists at Fairfield by Marriott Bali Kuta Sunset Road. Price and location have a strong influence on the dependent variable, namely the purchase interest of foreign tourists. When price and location have a strong influence, the purchase interest of foreign tourists will increase. The suggestion that can be given by the researcher is that Fairfield by Marriott Bali Kuta Sunset Road is expected to maintain the quality of products and services and maintain security around the hotel location and add shuttle car facilities to attract tourists' purchase interest.