Autocorrelation Test Research Articles

Adventure Destinations In Indonesia: The Function Of Perceived Value, And Effect On Visitor Experience And Revisit Intention

Management of the Mt. Penanggungan destination which has not been managed well. Can management science contribute to the Mt. Penanggungan adventure tourism destination? This research examines marketing management in adventure tourism destinations, which is usually synonymous with customer loyalty, and the determinant is always "satisfaction" but here we try another variable, namely "perceived value", then its influence on visitor experience and revisit intention. The aim of this research is to determine the role of perceived value in adventure destinations in Indonesia, and how much visitor experience influences it and then its influence on revisit intention. The sample used 233 visitors to Mt. Penanggungan who climbed at least once according to Hair et al., infinite population, using the Convenience Sampling technique as part of a non-probability sampling design. The method uses a quantitative approach with descriptive research according to Creswell, and explanatory according to Neuman. Statistical analysis uses Path Analysis, previously testing the data: validity test and reliability test. Analyzed using descriptive analysis. Tested using classic assumption tests: normality test, multicollinearity test, heteroscedasticity test, autocorrelation test. Hypothesis tests were carried out: t test, F test, and R² test. And finally analyzed using path analysis. The results of this research hypothesis test: visitor experience influences revisit intention, visitor experience influences perceived value, perceived value influences revisit intention, visitor experience and perceived value influence revisit intention. Managers are advised to maintain the stability of the influence of each variable, Visitor Experience to Perceived Value, Visitor Experience to Revisit Intention, Perceived Value to Revisit Intention, so that all paths are consistently positive and significant on an ongoing basis, and ultimately increase the number of return visits to Mt. Penanggungan, indirectly improving the economy of residents around the slopes of Mt. Penanggungan, especially residents of Tamiajeng Village on the south side, residents of Seloliman Village on the west side, residents of Wonosunyo Village on the east side, and residents of Watonmasjedong Village on the north side.

Diagnostic checks in time series models based on a new correlation coefficient of residuals

For checking time series models, the Ljung–Box, Li–Mak and Zhu–Wang statistics play an important role, which use the Pearson's correlation coefficient to implement (squared) residual (partial) autocorrelation tests. In this paper, we replace the Pearson's correlation coefficient with a new rank correlation coefficient and propose a new test statistic to conduct diagnostic checks for residuals in autoregressive moving average models, autoregressive conditional heteroscedasticity models and integer-valued time series models, respectively. We conduct simulations to assess the performance of the new test statistic, and compare it with existing ones, and the results show the superiority of the proposed one. We use three real examples to exhibit its usefulness.

Pengaruh Indeks Pembangunan Manusia (Ipm) Dan Pengangguran Terhadap Kemiskinan Di Kabupaten Bone Pada Tahun 2011–2021

The purpose of this study was to find out how much influence the human development index (HDI) and unemployment simultaneously have on poverty in Bone Regency in 2011-2021. The research method used is expo facto. The results of this study describe the description of the data, the Development of the Human Development Index (IPM) Unemployment and Poverty in Bone Regency in 2011-2021. This study uses several tests, namely: Multiple linear regression test, Normality test, Heteroscedasticity test, Multicollinearity test, Autocorrelation test. The results of hypothesis testing: t test and f test and the last one is the coefficient of determination.

Analisis Empiris Likuiditas, Profitabilitas dan Ukuran Perusahaan dan Struktur Modal di Perusahaan Pertambangan Indonesia

This research aims to explore the influence of liquidity, profitability and company size on the capital structure of mining companies listed on the Indonesia Stock Exchange for the 2017-2021 period. The variables used in this research consist of current ratio, return on assets, and capital size and structure. The population of this research is mining companies listed on the BEI for the 2017-2021 period. The sampling technique in this research used purposive sampling and a sample of 21 mining companies was obtained. The analysis techniques used are descriptive analysis, classical assumption tests (including normality tests, multicollinearity tests, heteroscedasticity tests, and autocorrelation tests) and hypothesis tests. Hypothesis testing uses multiple linear regression analysis. The results of this research indicate that liquidity, profitability and company size have no effect on capital structure.

Indonesian Palm Oil Export Analysis

Palm oil is a plantation commodity essential to economic occupation in Indonesia due to its capability to make plant-based oil, which is critical to the manufacturing sector. This study aims to analyze the factors affecting Indonesian palm oil exports between 1990-2019. The methods used in this study are testing regression prerequisites (normality and linearity test), classical assumption (multicollinearity, heteroscedasticity, and autocorrelation test), and multiple linear regression (F, t, and R2) to analyze the factors that affect Indonesian palm oil exports. Based on the outcomes of the F test, it is evident that palm oil production, the USD exchange rate against the IDR, and the global palm oil price collectively influence palm oil exports. As per the t-test results, both production levels and global palm oil prices significantly impact Indonesian palm oil exports. However, the US dollar to Indonesian rupiah exchange rate does not significantly affect palm oil exports due to its fluctuating nature in both the short and long term. These fluctuations introduce uncertainty for exporters engaged in long-term trade agreements with foreign nations. According to the R2 test results, palm oil production, the USD exchange rate against the IDR, and the world palm oil price had a 96.5% impact on Indonesian palm oil exports.

Analysis of Profitability, Leverage, and Company Size on Tax-Avoidance

This study aims to determine the effect of profitability, leverage, and company size on tax avoidance in property and real estate sector companies listed on the Indonesia Stock Exchange for the 2017-2021 period. Taxes in Indonesia from year to year never reach the target, although in terms of nominal it has increased from year to year. The applicable tax collection in Indonesia is a self-assessment system, a system that requires taxpayers to calculate the amount of tax owed themselves. The weakness of this tax system is that it can lead to tax fraud and violations in the form of efforts to avoid or fight taxes (tax avoidance). The factors that cause companies to avoid paying taxes include: profitability, leverage and company size. This study uses a quantitative research approach, the type of secondary data obtained from the official website of the Indonesia Stock Exchange and the company concerned. Data analysis using descriptive analysis, panel data regression selection, followed by classical assumption test including normality test, multicollinearity test, heteroscedasticity test, and autocorrelation test. The statistical method uses panel data regression analysis. The results show that profitability has a significant negative effect on tax avoidance, leverage has a significant effect on tax avoidance and company size has no effect on tax avoidance in property and real estate sector companies listed on the Indonesia Stock Exchange for the 2017-2021 period.

An Analysis the Financial Performance of BAZNAS

This research aims to measure and analyze the financial performance of the Klaten Regency National Amil Zakat Agency in 2019-2022. Performance measurement in this research uses the efficiency ratio, amil fund ratio and growth ratio issued by BAZNAS. Data obtained from the Klaten Regency BAZNAS financial report for 2019-2022. Research data collection techniques use observation and documentation techniques. The method in this research is descriptive quantitative using simple linear regression analysis. Model testing was carried out with SPSS version 25.0 software. Statistical testing in this research uses the classic assumption test which consists of the normality test, multicollinearity test, heteroscedasticity test, and autocorrelation test. Then proceed with the R2 coefficient of determination test. The results of statistical analysis have fulfilled most or all of the relevant classical assumptions. Meanwhile, the results of the analysis of the coefficient of determination (R2) are 0.564 or 56.4%, which explains that the Ratio variable (Efficiency, Capital Funds and Growth) has an influence on the dependent variable of financial performance effectiveness, while the remaining 43.6% is caused by other factors.

The effects of 2-D and 3-D urban landscape metrics on mean radiant temperature in hot-arid Phoenix and Tempe, Arizona, USA

The composition and configuration of the built environment affect intra-urban heat variability and human thermal exposure. We investigated how 2-D and 3-D building and vegetation characteristics, represented by various landscape metrics, affect the mean radiant temperature (MRT) distribution in Phoenix and Tempe, Arizona, USA, to determine which urban form characteristics are most important for minimizing thermal exposure. For a hot-dry summer day with low wind speed and a maximum air temperature of 43.3 °C, the relationship between 1-m resolution MRT data and seventeen 2-D and 3-D landscape metrics were analyzed at the Census block (micro) and urban (macro) scale. The landscape metrics were calculated with FragStat from a Digital Surface Model, a 3-D point cloud obtained from high-resolution (0.5-m) USGS LiDAR data, and a 1-m resolution land use/land cover map classified from the 2015 National Agriculture Imagery Program (NAIP) data. Hourly MRT for June 27, 2012, was simulated using the SOlar LongWave Environmental Irradiance Geometry (SOLWEIG) model. After testing for autocorrelation in hourly MRT using Moran's I, the relationship between landscape metrics and MRT outcomes was analyzed using correlation coefficients and multiple linear regression. The best predictive power was achieved using 2-D and 3-D metrics together, with an explanation MRT of 86 % (8:00 h) to 96 % (12:00 h). The five most important factors were 3-D vegetation height, 2-D percent tree surface cover, 3-D building height, 2-D building edge density, and the 3-D vegetation height coefficient of variation. Results show that MRT is driven by the composition and configuration of 2-D and 3-D urban features. The horizontal arrangement impacts MRT through varying land cover, and the vertical extent influences shade patterns, with more complex urban forms providing more shade and lowering MRT. Findings advance our understanding of how urban design can reduce thermal exposure on hot days using passive cooling strategies that rely on changes in the configuration and composition of landscapes.

PENGARUH KEPERCAYAAN, KEPUASAN DAN KOMITMEN ORGANISASI TERHADAP PERILAKU KARYAWAN

This study aims to analyze the effect of trust, satisfaction and organizational commitment on employee behavior. The subject used in this research is PT.Sinar Utama Sejahtera Klaten. The data used in this study are primary and secondary data obtained from the field and company data. The sample in this study were 130 respondents, namely employees of PT. Sinar Utama Sejahtera Klaten. The analytical method used is quantitative analysis, namely analysis which includes: validity test, reliability test, classic assumption test, normality test, multicollinearity test, heteroscedasticity test, autocorrelation test, multiple linear regression analysis, hypothesis testing through t test, F test and the coefficient of determination . By using SPSS tool ver 22. The results of this study indicate that trust, satisfaction and organizational commitment partially and simultaneously influence the behavior of PT. Sinar Utama Sejahtera Klaten employees

THE EFFECT OF PROFITABILITY, EXECUTIVE CHARACTER AND COMPANY SIZE ON TAX AVOIDANCE

This study aims to determine the effect of profitability, executive character and company size on tax avoidance in companies in the primary consumer goods sector (consumer noncyclical) listed on the Indonesia Stock Exchange for the period 2018-2022. The population in this study was 70 companies. This study used 40 companies in the primary consumer goods sector (consumer noncyclical) listed on the IDX, the sampling technique used was the proportionate stratified random sampling technique from the period 2018-2022 with a sample number of 200 data. The data used are quantitative data sourced from secondary data, then the data collected are analyzed using descriptive analysis methods and multiple linear regression analysis followed by multicollinearity tests, autocorrelation tests, heteroscedasticity tests, normality tests and correlation analysis. Based on the results of the study shows that simultaneously profitability, executive character and company size have an insignificant effect on tax avoidance. And the test results partially show that profitability has a significant positive effect on tax avoidance, executive character has a positive effect is not significant and company size has a negative effect is not significant on tax avoidance.

Pengaruh Likuiditas, Ukuran Perusahaan, Leverage, dan Profitablitas terhadap Manajemen Laba

The purpose of this research is to empirically prove the influence of Liquidity, Firm Size, Leverage, and Profitability on Earnings by using the Purposive Sampling method. While the population are pharmaceutical sector manufacturing companies that are on the list of the Indonesia Stock Exchange in 2016-2021 and have published their company's financial reports. The sample of this research is 6 companies for 6 years, so there are 36 data. This study uses panel data, namely the combination of data between cross sections and time series. For the test itself, namely with a descriptive statistical test then the classical assumption test includes the normality test, multicollinearity test, autocorrelation test, and heteroscedasticity test. According to H1 partial test results (T-Test) it shows that Liquidity (CR) has a significant effect on earnings management and has a positive direction. The results of the partial test (T-Test) H2, namely the variable firm size (FS) has a significant effect on earnings management and has a negative direction. The results of the partial test (T-Test) H3, namely the leverage variable (DER) has a significant effect on earnings management and has a positive direction. Meanwhile, the results of the partial test (T-Test) H4, namely the variable profitability (ROA) has a significant effect on earnings management and has a positive direction.
 

Pengaruh Budaya Dan Sertifikasi Halal Terhadap Loyalitas Konsumen Jamu Ramuan Madura Di Kecamatan Kwanyar

The demand for Madurese herbal medicine products is increasing significantly in every region, this cannot be separated from Madura herbal medicine producers as providers of halal products. In this study, the object of research was the producer of Madurese herbal medicine in the Kwanyar Madura sub-district area. This research was conducted on producers to find out what factors influence the influence of culture and halal certification on consumer loyalty. This research aims to find out the process of Madurese herbal medicine producers in Kwanyar sub-district to obtain halal certification from the halal product guarantee administration body (BPJPH) using an analytical approach. multiple linear variables through cultural influence, halal certification, consumer loyalty. The method used in this research is quantitative using multiple linear analysis tests. The sampling technique is the technique used for sampling in this research with a non-probability sampling technique using a purposive sampling approach. This test consists of normality test, multicollinearity test, heteroscedasticity test, autocorrelation test, t test, f test, and multiple linear analysis.

Verification of the Weak-Form Informational Efficiency of Fuel Markets in the Visegrad Group

The paper aims at examining the weak-form informational efficiency of fuel markets in the Visegrad Group (V4) countries: the Czech Republic, Hungary, Poland and Slovakia from January 2016 through December 2020. For this purpose, the following statistical tests were applied: the runs test, the variance ratio test, the autocorrelation tests, the unit root tests. The tests provided mixed results not giving a definitive answer to the question of whether V4 fuel markets were informationally efficient in a weak form. The only exception is Slovakia where gasoline and diesel prices followed random walk, providing evidence in favor of the weak-form informational efficiency of the market.

Modern pollen-vegetation coverage relationships and its application for Holocene vegetation reconstructions in the central Tianshan Mountains

The Tianshan Mountains are the largest mountain system in Central Asia and comprise islands of humidity within a widespread arid zone. In this study, we improve knowledge of the quantitative relationship between pollen and vegetation coverage in the region, to quantitatively reconstruct Holocene vegetation coverage. Specifically, we statistically analyzed 1058 modern pollen samples from the central Tianshan Mountains and neighbouring regions, utilizing redundancy analysis (RDA), and boosted regression trees (BRT), stepwise regression (Stepwise), the modern analogy technique (MAT), weighted average partial least squares (WA-PLS) and local weighted average (LWWA) methods, to construct a series of modern calibration sets between pollen and fractional vegetation cover (FVC). The results show that (1) FVC and modern pollen assemblages display a strong correlation (correlation coefficient of 0.66) and (2) BRT outperforms Stepwise, MAT, WA-PLS and LWWA under leave-one-out cross-validation, bootstrap, and spatial autocorrelation tests, making the BRT model the best choice. Applied to Holocene datasets, we infer that from 11.4 to 4.6 cal kyr BP, FVC changes were mainly influenced by natural climate changes. However, after 4.6 cal kyr BP, FVC changes were influenced by a combination of natural climate changes (with humidity playing a dominant role) and the intensity of human activities.

PENGARUH PROFITABILITAS, OPERATIONAL CASH FLOW, DENGAN CORPORATE SOCIAL RESPONSIBILITY (CSR) SEBAGAI VARIABEL MODERASI TERHADAP PENGHINDARAN PAJAK (TAX AVOIDANCE) PADA PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI BURSA EFEK INDONESIA

This study aims to analyze the effect of Profitability, Operational Cash Flow and Corporate Social Responsibility (CSR) as a moderating variable on Tax Avoidance. The population used in this study are manufacturing companies listed on the Indonesia Stock Exchange (IDX) in 2017-2021. In this study, a sample of companies that were obtained and met the criteria were 200 financial report data which, after going through the normality test, became 141 observations. The method used in sampling in this study is using purposive sampling method. The analysis used is multiple linear regression analysis which functions to involve moderating variables in building the relationship model. The moderating variable acts as a variable that can strengthen or weaken the relationship between the independent variables and the dependent variable, which is preceded by the classic assumption test which consists of a formality test, multicollinearity test, autocorrelation test, and heteroscedasticity test. Meanwhile, hypothesis testing was carried out using the F test and t test. The results of data analysis from this study showed that Profitability had no effect on Tax Avoidance, whereas Operational Cash Flow had a positive effect on Tax Avoidance. Meanwhile, Corporate Social Responsibility (CSR) is not able to moderate the influence of Profitability and Operational Cash Flow on Tax Avoidance.

Analysis the Effect of Financial Performance Ratios on Profitability at PT. Bank Central Asia Tbk (BCA) 2018-2022

This article aims to analyze the effect of financial performance ratios on profitability at PT. Bank Central Asia Tbk (BCA).This article using a descriptive quantitative method with using 50 months data of financial statement from 2018 to 2022 years. Secondary data comes from the official website of the PT. Bank Central Asia Tbk (BCA). The data analysis technique uses the classic assumption test which consists of the data normality test, autocorrelation test, multicollinearity test and heteroscedasticity test by using multiple regression analysis methods and testing the coefficient of determination.The results of the study simultaneously show that profitability is proxied by Return on Equity (ROE) indicating that the ability of the independent variables including Capital Adequacy Ratio (CAR), Non Performing Loans (NPL), and Operating Expenses Operating Income (OEOI) are jointly unable to afford affect the profitability variable proxied by Return on Equity (ROE). While partially it shows that only the variable Return on Equity (ROE) which is proxied by Operating Expenses Operating Income (OEOI) which partially has no significant effect. While the two variables Capital Adequacy Ratio (CAR) & Non Performing Loans (NPL) separately have a significant influence on Return on Equity (ROE).Based on the research we have conducted, we will provide suggestions to PT. Bank Central Asia, Tbk regarding the level of non-performing financing must be reduced and not exceed the limits set by the government. This will have an impact on achieving Bank Central Asia (BCA) profitability from an equity perspective, making it a major concern as a financial institution.

Pengaruh mekanisme corporate governance terhadap integritas laporan keuangan

The purpose of this research is to examine the influence of institutional ownership, managerial ownership, independent commissioners, and the audit committee on the integrity of financial reports. The research population consists of insurance sector companies listed on the Indonesia Stock Exchange from 2018 to 2021. The sampling method used is purposive sampling, with a total of 13 companies selected as samples. Data analysis techniques include classic assumption tests, such as normality tests, multicollinearity tests, autocorrelation tests, and heteroskedasticity tests. Hypothesis testing is conducted using multiple regression analysis. The results of this study indicate that institutional ownership, the audit committee, and independent commissioners have an impact on the integrity of financial reports, while managerial ownership does not have an impact on the integrity of financial reports
 Public interest statements
 This research is expected to serve as a valuable reference for enhancing understanding and knowledge in the field of accounting, as well as providing crucial information for investors and financial analysts in evaluating investment decisions related to companies.

Vector Autoregressive Model of Maize Production in Northern Region of Ghana

Agricultural growth plays a crucial role in the Comprehensive African Agriculture Development Programme (CAADP, 2009) agenda. The program recognizes that increasing agricultural productivity is essential for reducing poverty, meeting food production targets, and lowering production costs and food prices for the impoverished. This study aimed to develop two types of models. The first model employed a vector autoregressive (VAR) approach, which involved regressing the production of maize in one district against the production of maize in other districts at various lags. The second model utilized a VAR framework where the maize production in each district was regressed against the production of maize in other districts and the corresponding climate conditions at different lag periods. The available data spanned from 1968 to 2018 and were recorded on an annual basis. Six climatic variables were included in the analysis. A lag order of 3 was selected for the models. The results of the autocorrelation test using the portmanteau test indicated no serial autocorrelation across all lag periods. The test for normality revealed that the residuals followed a normal distribution. Additionally, there was no evidence of heteroscedasticity in the data. Furthermore, a Granger causality test was conducted on the selected districts to explore causal relationships. Variance decomposition analysis was performed to assess the variance relation in the data and understand the contribution of different factors. Based on adjusted R-squared, mean absolute error (MAE), and root mean squared error (RMSE) values, the models that incorporated climatic variables were found to be the most suitable for forecasting maize production in the selected districts. The VAR model, which captures the interdependencies between the variables, was utilized in this analysis. All variables in the VAR model were treated symmetrically, meaning that their relationships were considered equally important.

THE INFLUENCE OF SOCIO-ECONOMIC FACTORS ON POVERTY IN BALI PROVINCE

The aim of this research is to find out 1) To find out whether unemployment has a partial effect on the level of poverty in Bali Province; 2) To find out whether the minimum wage has a partial effect on the poverty level in Bali Province; 3) To find out whether unemployment and the minimum wage have a simultaneous effect on the poverty level in Bali Province. The socio-economic factors that will be studied are unemployment and minimum wages. The research was conducted in Bali Province. The quantitative data in this research were unemployment, minimum wages and poverty levels for the 2007-2021 period. The data source in this research is secondary data. The data analysis techniques used to solve the problems in this research are: 1) Classic Assumption Test which includes: Normality Test, Multicollinearity Test, Heteroscedasticity Test and Autocorrelation Test, 2) Hypothesis Testing using Multiple Linear Regression Analysis Techniques.Based on the results of the analysis, it is known that with a confidence level of 79.4 percent, all independent variables have a simultaneous or partial effect on the dependent variable. This means that socio-economic factors consisting of unemployment and minimum wages influence the poverty level in Bali Province both simultaneously and partially. If we look at the coefficient of determination, only 79.4 percent of the variation in unemployment and minimum wages can explain the variation in poverty levels in Bali Province. This is because there are many other factors that influence the level of poverty in Bali Province, including other socio-economic factors that are not discussed in this research

TOWARD ENHANCED STOCK VALUE: Exploring the Nexus of Financial Performance, Company Size, and Dividend Policy in Optimization Strategies

In Indonesia, the development of basic industrial and chemical companies is quite rapid, it can be seen from the development of basic industrial and chemical companies listed on the Indonesia Stock Exchange (IDX) or becoming public companies from year to year increasing. The purpose of this study is to determine and analyze dividend policy, moderate the size of the company against the share price of manufacturing companies in the basic industrial and chemical sectors listed on the Indonesia Stock Exchange. The method used is the titative descriptive method. The total research population is 88 companies while the number of research samples is 20 companies. Before testing the hypothesis, the researcher first uses the classical assumption test consisting of the normality test, hetoregenity test, autocorrelation test, and multicollinearity test. The results of the study with Moderated Regression Analysis (MRA) testing show that the Dividend Policy is able to moderate the influence of Company Size on Share Prices in Basic Industrial and Chemical Companies listed on the Indonesia Stock Exchange