Linear Analysis Method Research Articles

PENGARUH PENERIMAAN PAJAK DAN KEPATUHAN KEWAJIBAN PAJAK RUMAH BURUNG WALET TERHADAP PEROLEHAN PAD

This study aims to find out how the effect of collecting walét bird nest taxes on local revenue for the Luwu Regency government. This study focuses on swallow nest entrepreneurs in Luwu Regency. The technique of collecting data in this research is by using a questionnaire with 9 samples of walét bird entrepreneurs, using multiple linear analysis method. Based on the results of the study, swallow nest collection (X1) and taxpayer compliance (X2) simultaneously have a significant effect on local revenue (Y) in Luwu Regency.

Synthetic experimental and numerical investigation on the vertical seismic effect on underground structures

Seismic damage patterns of underground structures indicate unignorable effects of vertical seismic actions. To deal with this, this study distinguished the impact of the vertical seismic effect on the seismic safety of underground structures experimentally and theoretically and provides important shaking table test results for this topic. A typical shallow buried subway station-tunnel junction structure was designed by following the Buckingham similarity law, based on which the shaking table test was performed to investigate the vertical seismic effect on underground structures. The vertical wave propagation laws of the free field, the model structure, and the soil–structure interaction (SSI) system were comparatively analyzed. Numerical simulations considering the soil’s nonlinear behaviors under vertical loads were performed using the equivalent linear analysis method and were verified by the test records. By combining both the experimental and numerical results, it was found that the surrounding soils have very weak constraints on the structural vertical movements. By distinguishing lateral soil pressures from horizontal actions, the vertical seismic action is found to be mainly an inertia force that can stimulate high-frequency vibration modes of the system and cause considerable vertical relative deformations within the underground structure. Consistent with the observed structural damage at the Daikai station, the participation of high-frequency vibration modes is a rational approach that can explain the amplification effect of vertical ground motions on structural seismic responses. In addition, the equivalent linear method is generally satisfactory for simulating the soil compressional nonlinearity.

A combined Qualitative and Quantitative method development and validation of vancomycin hydrochloride injection formulation by HPLC and UV involving Quality by Design.

The selective, specific, precise, linear, accurate, and robust analytical method was developed and validated for the assay of Vancomycin HCl in Vancomycin Hydrochloride Injection. Comparative UV spectrophotometric and reverse phase HPLC developed the quantitative determination. Acetonitrile and pH 2.2 phosphate buffer in the ratio (20:80 v/v) used as mobile phase, and flow rate 1.0 mL/min with 20 mins run time. The detection was carried out at 235 nm with Nucleosil C18 (250 mm × 4.6 mm) 10 μm column, and the ambient column temperature was maintained. The method uses the 20 μL injection volume and diluent as a blank solution in this connection. The method was validated as per the current regulatory guidelines. The linearity of this method was found to be linear in the range of 50% to 150% of the working concentration, and the correlation coefficient was more than 0.999. The method's accuracy was within the acceptable range, which was found to be 98.1 % to 101.5 %. The method's precision was within an acceptable range of about % RSD of 0.32 %. The analytical solution was found stable for up to 48 hrs at room temperature. The method's robustness was proved by utilizing quality design tools. Stress studies demonstrated method stability indicating nature.

Relationship between Complex Integration Indices and Inflation Indicators and Their Impact on the Development of Regional Cooperation between Countries to Reduce the Level of Inflationary Risks: Case of the SCO Member Countries

In this study, we focused on the development of cooperation between partner countries, which may affect the reduction of inflationary risks for partnership participants in the context of global and urgent changes in the world. This article aims to identify the relationship between inflation indicators and various types of globalization (complex integration indices) of each of the member countries of the Shanghai Cooperation Organization (SCO) in order to develop measures to contain inflation risks in these countries. The authors used the methods of pairwise linear regression, correlation analysis, and multiple linear regression. As variables, the authors used complex indicators that characterize six types of globalization: Economic, financial, demographic, industrial, information, and political indices. The authors concluded that China and India more effectively curb inflation and are less prone to inflation risks. The inflation rate and the independent variables have a close negative correlation, which indicates a strong degree of mutual influence and has a downward effect on the consumer price index. The most significant variables that have a strong influence on the inflation rate are the factors of financial and information integration. The impact of other types of integration considered in this study is not significant. In order to reduce the level of inflationary risks, the SCO member countries most vulnerable to the price volatility of raw materials (Uzbekistan, Tajikistan, and Kyrgyzstan) are encouraged to develop trade cooperation more actively, for example, by reducing or eliminating import duties on raw materials from the SCO countries.

FAKTOR AUDIT DELAY PERUSAHAAN MAKANAN DAN MINUMAN YANG TERDAFTAR PADA BURSA EFEK INDONESIA.

Timeliness of audit report adjustment is one of the auditor's professional criteria. The longer the audit delay, the longer the auditor will complete his audit work. The purpose of the effectiveness of this study is to determine the effect of company size, profitability and audit opinion on audit delay in food and beverage companies listed on the Indonesia Stock Exchange for the 2019-2021 period. The sampling technique used purposive sampling method, as many as 9 companies for three years to 27 samples and using multiple linear regression data analysis method. From this research, it can be concluded that hypothesis testing with T test results that firm size and audit opinion have no effect on audit delay, while profitability has an effect on audit delay. Many studies on audit delays in food and beverage companies have shown mixed results. For further researchers should also be able to develop a research model, the research period with the addition of other research variables.

Pengaruh Pembelajaran Daring Terhadap Minat Belajar Siswa Pada Mata Pelajaran Bahasa Indonesia Kelas XII SMA Negeri 1 Selesai Langkat

The purpose of this study was to find out and analyze the effect of online learning on students' learning interest in Indonesian subjects in of Grade XII SMA Negeri 1 Selesai. The number of samples were 35 students of Grade XII MIA 4 taken from 322 of the total population. The purposive sampling technique was crried out in this study. The method used in this research is descriptive method with a quantitative approach. The simple linear analytical analysis method used in this study.The results of this study obtained that tcount value was -5.785 while the ttable value was 1.693 which means that Ha is accepted and Ho is rejected and it can be said that online learning had a negative effect on student learning interest. The percentage of Online Learning variable influence on the Student Learning Interest variable was 0.655 or 65.50%. While the remaining 35.50% was influenced by other factors. While the value of the correlation coefficient rcount = 0.658, and it can be stated that the relationship between the Online Learning variable and the Student Learning Interest variable had a strong relationship level.

Effect of Halal Certification, Halal Awareness, Product Quality and Price on Consumer Purchase Interest (Case Study: Mie Ayam Mushroom Haji Mahmud S.)

This study aims to determine the effect of halal certification, halal awareness, product quality and price on consumer buying interest. This research was conducted using quantitative research. The population in this study amounted to 3,000 with a sample of 97. The sampling method was simple random sampling technique. This study uses primary data, with multiple linear regression data analysis method using SPSS 15. Based on the results of the first hypothesis test, it is known that the significant value of halal certification is 0.045 (sig < 0.05) with a t-count value of 2.030 > 1.986 (t-count > t-table). The second hypothesis test shows a significant halal awareness of 0.002 (sig < 0.05) with a t-count value of 3.626 > 1.986 (t-count > t-table), the third hypothesis shows a significant product quality 0.006 (sig < 0.05) with a t-value -count 2.812 > 1.986 (t-count > t-table), the fourth hypothesis is significant 0.910 (sig > 0.05) with t-count value -0.113 < 1.986 (t-count < t-table). Based on the results of the fifth hypothesis test, it is known that the significant value is 0.000 (sig < 0.05) with an f-count value of 32.542 > f-table 2.471. The results of this study indicate that Halal Certification, Halal Awareness, Product Quality and Price simultaneously have a significant effect on consumer buying interest.

THE EFFECT OF BRAND AMBASSADORS, DISCOUNTS, AND ADVERTISEMENTS ON PURCHASING DECISIONS ON THE TOKOPEDIA MARKETPLACE

This study aims to analyze the effect of promotional activities such as Brand Ambassadors, Discounts, and Advertisements on Purchase Decisions on the Tokopedia Marketplace, This research was of a quantitative type with a simple random sampling technique and the data used in this study was primary data obtained from distributing online questionnaires using a google form from 114 Tokopedia consumers in Indonesia using multiple linear analysis methods and using SPSS 23 as a tool measuring. The results of this study indicate that the brand ambassador variable has no significant effect on purchasing decisions while the Discounts and Advertisements Variables have a positive and significant effect on purchasing decisions. Simultaneously, brand ambassadors, discounts, and advertisements influence purchasing decisions with a percentage of 58.1%, while the remaining 41.9% are influenced by other variables not included in this study.

Trend Analysis and Driving Factors of Vegetation Dynamics in Northern China from 1982 to 2015

Under the background of global warming, understanding the dynamic of vegetation plays a key role in revealing the structure and function of an ecosystem. Assessing the impact of climate change and human activities on vegetation dynamics is crucial for policy formulation and ecological protection. Based on the Global Inventory Monitoring and Modeling System (GIMMS) third generation of Normalized Difference Vegetation Index (NDVI3g), meteorological data and land cover data, this study analyzed the linear and nonlinear trends of vegetation in northern China from 1982 to 2015, and quantified the relative impact of climate change and human activities on vegetation change. The results showed that more than 53% of the vegetation had changed significantly, and 36.64% of the vegetation had a reverse trend. There were potential risks of vegetation degradation in the southwestern, northwestern and northeastern parts of the study’s area. The linear analysis method cannot disclose the reversal of the vegetation growth trend, which will underestimate or overestimate the risk of vegetation degradation or restoration. Climate change and human activities promoted 76.54% of the vegetation growth in the study area, with an average contribution rate of 51.22% and 48.78%, respectively, while the average contribution rate to the vegetation degradation area was 47.43% and 52.57%, respectively. Vegetation restoration of grassland and woodland was mainly affected by climate change, and human activities dominated their degradation, while cropland vegetation was opposite. The contribution rate of human activities to vegetation change in the southeastern and eastern parts of the study area was generally higher than that of climate change, but it was the opposite in the high altitude area, with obvious spatial heterogeneity. These results are helpful to understand the dynamic mechanism of vegetation in northern China, and provide a scientific basis for vegetation restoration and protection of regional ecosystems.

Optimized TGA-based experimental method for studying intrinsic kinetics of coal char oxidation under moderate or intense low-oxygen dilution oxy-fuel conditions

Accurate assessment of coal char oxidation kinetics is essential for the design of efficient combustion systems; nonetheless currently, there is little research on this aspect under moderate or intense low-oxygen dilution (MILD) oxy-fuel (MO) conditions. In this study, experimental and modeling studies were conducted for analyzing the intrinsic kinetic properties of coal char oxidation under MILD air-combustion (MA) and MO conditions based on thermogravimetric analysis (TGA). The experimental conditions were improved to minimize various diffusion resistances in the crucible during the TGA experiments. Under the optimal conditions of TGA experiments, the reactivity differences of coal char under the MA and MO atmospheres were small. Both nonlinear model-fitting and linear model-free analysis methods were used to analyze kinetic parameters of coal char oxidation. The results showed that the random pore model correlated the best with the experimental results. The activation energies of coal char under the optimal conditions in MA and MO atmospheres (i.e., 104.4 kJ/mol and 98.2 kJ/mol, respectively) were much higher than those obtained by the conventional method. The reaction orders of coal char oxidation in MA and MO atmospheres were close to 1.0, and the specific values were affected by the diffusion effect and background atmosphere.

Spatiotemporal variations of Vegetation change and its response to Climate change in Mongolia during 1982-2015

Using GIMMS NDVI growing season (April-October) data from 1982-2015, mean temperature and monthly precipitation data from 60 meteorological station observations for the same period, the vegetation cover change and climate change in the Mongolian region and its response were studied with the help of linear trend analysis and Pearson correlation method the relationship between vegetation cover change and climate change in Mongolia and its response was studied using linear trend analysis, Mann-Kendall trend analysis and Pearson correlation. The results show that the average NDVI of the growing season in Mongolia has gradually increased spatially from south to north over the past 34 years. Seasonally, there was an overall increasing trend of NDVI in all three seasons, and the influence of precipitation on vegetation NDVI was greater than the influence of temperature on it. Different vegetation types responded more to precipitation than to temperature, and alpine grassland vegetation significantly affected air temperature and precipitation.

Optimization of Organic Rice Production using Linear Programming Analysis in Lampung Province

Organic rice cultivation in Lampung Province is less developed because most farmers do a double cropping system that is on adjacent land to plant various types of plants to anticipate organic lower price. The problem faced by farmers is the management of cropping system, especially in maximizing revenue gains from managing resources. During this time farmers has not been able to obtain an ideal profit, only in the break-even stage between business income and expenditure. This study aims to: (1) determine the optimization model of production and maximum profit of farming, and (2) determine the optimal allocation of production resources. The research was conducted in Pringsewu and Lampung Selatan Districts. The respondents are 20 organic rice farmers. The research method used is a quantitative method using Linear Programing analysis method using POM-QM for windows 3.0 helper software. The result shows that Linear Function for Z max objective = 30,573X1 + 16,906X2 + 1,500X3 where X1, X2, and X3 are organic rice, non-organic rice, and soybean. The optimal production of farming is only producing organic rice with planting area of 19.2713 hectares and the maximum profit obtained is Rp.589,181,300,-. Optimization model of organic rice farming production is Max Z = 30573X1. The use resources of land, labor and seeds is not optimal yet or unutilized while the availability is at the farmers' level of excess, so that under optimal conditions land use, labor and seeds need to be added from the existing stock. The allocation of used capital resources shows that its use has been optimal and if the farmers increase the capital utilization by 1 unit, it will increase the business profit by Rp 2.282,- Keywords: - Organic Rice, Production Optimization, Linear Programming

The causality relationship between foreign direct investment and economic growth in RCEP countries

PurposeThe direction of the causality relationship between Foreign Direct Investment (FDI) and economic growth is a highly controversial issue in the literature. There are two basic approaches advocating different causal directions between FDI and growth, which are called hypotheses of FDI-led Growth and Growth-led FDI. The aim of this study is to analyze the causality relationship between FDI and economic growth in RCEP countries and thus make a new contribution to the discussions in the relevant literature. In addition, the results of the study are expected to provide important implications for the policies to be designed for economic growth based on FDI flows to RCEP countries. Thus, by examining the direction of causality between FDI and economic growth in RCEP countries, we aim to provide a new contribution to related literature and make some implications for the policy design process of economic growth in the RCEP area.Design/methodology/approachWe empirically examined the direction of a causal link between FDI and economic growth in the context of Regional Comprehensive Economic Partnership (RPEC) countries in order to test the hypothesis of FDI-led growth and Growth-led FDI. Accordingly, as our main variables of interest, we incorporated the inward foreign direct investment stock to gross domestic product ratio (FDI) and gross domestic product per capita (GDP). Hatemi-J (2012) asymmetric causality test has been employed in the investigation of the direction of causality between FDI and GDP over the period of 1980–2020. Thus, unlike most of the studies investigating the direction of causality between FDI and growth using the linear causality analysis method, our study performed a nonlinear causality analysis.FindingsEmpirical results reveal that the causal relationship between FDI and national income in RPEC countries is non-linear or asymmetric . The results of the symmetric causality test for both from FDI to national income and from national income to FDI are statistically insignificant for all countries. Therefore, this finding obtained from the study provided an important guide to the econometric methods to be used in other studies to be conducted in the same region in the future. Concerning the asymmetric causality relationship from FDI to growth, positive FDI shocks are an important cause of national income in most RCEP countries. However, the effect of negative FDI shocks on national income is quite weak compared to positive shocks. Regarding the asymmetric causality relationship from growth to FDI, positive national income shocks do not create a significant causal relationship with FDI. Similarly, the effects of negative national income shocks on FDI are statistically insignificant. Overall, asymmetric causality test results reveal that positive FDI shocks have an important causal impact on economic growth in most RCEP countries. Thus, the results of econometric analysis mostly support the argument that the FDI-led growth hypothesis rather than the Growth-led FDI hypothesis in RCEP countries. Accordingly, policy-makers in most of the RCEP countries should continue to provide more incentives and facilities to multinational companies in order to ensure constant economic growth.Originality/valueOur study brings a significant difference in the econometric method used compared to most of the other studies in the literature. Existing empirical studies on the direction of causality between FDI and growth mostly use standard Granger-linear causality-type tests to detect the direction of causality among FDI and growth. Unlike most of the studies in the literature, our study adopted a different methodological approach, namely the Hatemi J test to detect the non-linear causality between FDI and economic growth in RCEP countries. Therefore, this paper made a new methodological contribution significantly to the literature focusing on the causal relationship between FDI and economic growth by using a non-linear causality method rather than a linear causality one.

Flexible human resource management systems and employee innovation performance in China – based on the moderated mediation effect

PurposeThis paper aims to explore the impact of flexible human resource management system (FHRMS) on employee innovation performance in Chinese context. The boundary conditions of employability and organizational identity are also discussed.Design/methodology/approachThis study is based on 322 questionnaire survey from employees in China. The questionnaires were collected at two time points. This study used the method of multi-level linear model analysis for empirical test.FindingsThis study has three conclusions. First, FHRMS have a significant positive impact on employee innovation performance, with employability playing a mediating role. Second, organizational identity plays a moderating role between employability and employee innovation performance. Third, organizational identity moderates the mediating effect of a human source management systems on employee innovation performance through employability.Originality/valueThe results are helpful to open the “black box” of the influence of FHRMS on employees’ individual innovation performance. This study provides a reference for enterprises to establish flexible human source management system to improve employee innovation performance.

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, and hypothesis testing, and the method used was the multiple linear analysis methods. The results of this study indicate that: (1) price perception has a positive 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.

Effect of air-entraining agents combined with superabsorbent polymers on pore structure and frost resistance of mortar prepared under low air pressure

Superabsorbent polymers (SAPs) combined with air-entraining agents (AEAs) were used to improve the frost resistance of mortar pepared under low air pressure in this study. Effects of SAPs combined with AEAs on the pore structure and frost resistance of mortar were investigated. Results showed that the combined use of SAPs and AEAs could improve the frost resistance of mortar made under low air pressure efficiently. This is further clarified by the changes of the pore structure. SAPs had a better performance in air-entraining as well as internal curing under low air pressure than those under a normal atmosphere. In addition, SAPs combined with AEAs could greatly optimize the pore structure of mortar prepared at low air pressure, especially reduce the number of pores larger than 200 nm. Moreover, correlations between pore characteristic parameters and frost resistance were discussed based on the linear fitting method and grey correlation analysis method. Finally, a modified hydraulic pore pressure model considering the influence of air pressure was established, and calculation results showed that the hydraulic pore pressure during freezing decreased due to low air pressure.

Pengaruh modal kerja, perputaran aktiva, dan leverage terhadap profitabilitas

The impact of digital transformation in Indonesia on the food and beverage industry can support and facilitate activities in the industry. However, this makes the competition in the industry higher, causing the profit to decrease. The purpose of this study is to determine the impact of working capital, asset turnover and leverage on company profitability in the food and beverage industry in the Liquors, Soft Drinks, Dairy Products, Processed Foods and Fish, Meat & Poultry sub-sectors. The data source comes from the annual financial statements of companies listed on the Stock Exchange with a sampling technique using purposive sampling method in accordance with the research criteria. The research period was taken for 5 years from 2017 to 2021 with the number of sample data used as many as 135 data from 27 entities. This study utilizes multiple linear analysis methods with secondary data types. The results of the study show that working capital, asset turnover and leverage simultaneously have an effect on profitability. While working capital has a positive impact on profitability, asset turnover has no impact on profitability and leverage has a negative impact on profitability.

Pengaruh Kinerja Keuangan dan Good Corporate Governance terhadap Potensi Kebangkrutan Bank Muamalat Indonesia

This study aims to examine the effect of financial performance and GCG variables represented by the presence of the Sharia Supervisory Board on the potential for bankruptcy of Bank Muamalat Indonesia. The type of data used is secondary data sourced from financial statements and corporate GCG reports using multiple linear analysis data analysis methods with data processing tools using EViews 10 software. The results of this study indicate that NPF has a significant negative effect, FDR has a significant negative effect, and CAR has a significant negative effect. significant positive on the potential for bankruptcy of Bank Muamalat Indonesia, then the presence of DPS also has a significant effect. positive effect in reducing the risk of bankruptcy.

Pengaruh Pembiayaan UMKM, CAR, dan NPF Terhadap Return on Assets Bank Umum Syariah di Indonesia

MSME financing and CAR are expected to increase the profit of Islamic banks. NPF is a factor that is thought to reduce profits. This study was to determine the effect of MSME financing in the working capital and investment categories, the effect of CAR, and the effect of NPF for Islamic Commercial Banks in Indonesia on ROA. This study uses a descriptive-quantitative method that analyzes secondary data, namely the monthly financial ratios, with multiple linear regression data analysis methods. The results showed that partially the MSME financing variable in the working capital and investment categories did not have a significant effect on ROA, while CAR had a positive and significant effect on ROA, and NPF had no significant effect on ROA. Simultaneously, the variables PUMKM, CAR, and NPF have a positive and significant effect on ROA. The variables PUMKM, CAR, and NPF have a contribution to explaining the profitability of 85.55%.

Effect of Wage Level, Wage Mechanism and Number of Family Members on the Welfare of Sanitary Officers at the Mandailing Natal District Environmental Service

This study aims to analyze the effect of wage levels, remuneration mechanisms and number of family members on the welfare of cleaning staff at the Mandailing Natal Regency Environmental Service. The dependent variable is welfare, while the independent variables are the level of wages, the mechanism of wages and the number of family members. This study uses primary data, with multiple linear regression data analysis method using SPSS 15. The research respondents were 52 people, the sampling method used was Simple Random Sampling technique. Based on the results of the first hypothesis test, it is known that the significant value of the wage level is 0.012 (sig < 0.05) with a t count value of 2.613 > 2.010 (t arithmetic > t table). The second hypothesis test shows a significant wage mechanism of 0.000 (sig < 0.05) with a t count value of 14.345 > 2.010 (t arithmetic > t table). And based on the third hypothesis test, it is known that the significant value of the number of family members is 0.000 (sig < with t value -5.050 < 2.010 (t count < t table). Based on the results of the fourth hypothesis test, it is known that the significant value is 0.000 (sig < 0.05) with a F count 287,670 is greater than F table 2.80 (F count > F table).The results of this study indicate Wage Level, Wage Mechanism and Number of Family Members simultaneously have a significant effect on welfare.