Simple Regression Method Research Articles

Effectiveness of Implementation of Siskeudes And Financial Reports of Village Funds in Rejang Lebong Regency

This research was conducted in Rejang Regency which aims to see how effective the application of village financial information system to village fund financial statements. This research is useful as an evaluation material for local governments in placing human resources engaged in financial management on the other hand information systems help operators in making financial reporting effectively, appropriately and financial reporting in accordance with village government accounting standards. The method used is a simple regression method with the retrieval of questionnaire sampel with predefined criteria. From the results of the dissemination of questionnaire data that can be processed as many as 67 questionnaires. The results of a simple regression test in the study with a value of F count 19,833 with a significance level of 0.000 < 0.005 means that in the study can be used to predict the variable effectiveness of the implementation of siskeudes and financial statements of village funds in other words, namely the implementation of the Village Financial Information System on the financial statements of village funds in an effective manner. Korelasi of 0.484 and coefficient of determination (Rsquare) of 0.243 can be concluded the influence of variable effectiveness of the implementation of siskeudesn on the financial report of village funds by 24.4%.

Pronounced Increases in Future Soil Erosion and Sediment Deposition as Influenced by Freeze-Thaw Cycles in the Upper Mississippi River Basin.

Soil erosion and sediment deposition are relevant to multiple important ecosystem services essential for natural and human systems. The present study aims to project future soil erosion and sediment deposition in the Upper Mississippi River Basin (UMRB) using climate projections by five Global Circulation Models (GCMs) under the Representative Concentrations Pathway (RCP) 8.5 scenario. To understand the importance of freeze-thaw cycles (FTCs) for soil erosion and sediment deposition estimation with climate change, this study compared two Soil and Water Assessment Tool (SWAT) models with different representations of the FTCs, with the standard SWAT using a simple regression method and SWAT-FT employing a physically based method. Modeling results show that future climate change can pronouncedly intensify soil erosion and increase sediment deposition, and the impacts are sensitive to how FTCs are represented in the model. The standard SWAT projected an increase in soil erosion by nearly 40% by the end of the 21st century, which is much lower than the projected over 65% increase in soil erosion by SWAT-FT. For sediment deposition, the projected percent changes by the standard SWAT and SWAT-FT also deviate from each other (i.e., about 70% by the standard SWAT vs about 120% by SWAT-FT). Overall, these results demonstrate the important roles of FTCs in projecting future soil erosion and sediment deposition and underline the need to consider the effects of conservation practices on FTCs to realistically assess the effectiveness of those measures.

Temporal trends of atmospheric PAHs: Implications for the gas-particle partition

Gas-particle (G/P) partition is the determining factor to the behaviors of semi-volatile organic compounds (SVOCs) in atmosphere, such as transport and deposition. Based on a case study on the measurement of atmospheric polycyclic aromatic hydrocarbons (PAHs) in Harbin City in China from June 2014 to May 2019, the long-term temporal trend of G/P partition of PAHs and its influencing factors were comprehensively studied. The results indicated that an obvious decreasing temporal trend was observed for total suspended particle (TSP) with the annual mean concentrations of 180, 173, 134, 132, and 119 μg/m3 for the five years. The results demonstrated the effectiveness of the Clean Air Action on decreasing TSP levels in Harbin City. For most PAHs, obvious long-term temporal trends and seasonal variations were observed for the particulate phase fraction (φP) and the G/P partitioning quotient (KP) by fitting with a simple harmonic regression method. Significant correlations between φP with temperature and TSP indicated their influences on the temporal trend of φP. Similarly, the temperature was also the direct influencing factor to the temporal trend of KP. For the five years, non-obvious differences were observed with the linear relationships between log KP vs. log KOA, and between log KP vs. log PL. The comparison between the monitoring data of φP and log KP with the prediction data from the G/P partitioning models indicated that the predictions of the models did not well match all the monitoring data for the period. Therefore, more studies should be conducted to better understand the G/P partitioning mechanism of PAHs in atmosphere and to establish more accurate G/P partitioning models. In summary, the results of the present study provided new insight into the G/P partitioning behavior of PAHs in the atmosphere, especially for the temporal trend of φP and log KP.

MODELING OF QUEUE LENGTH AT RAILWAY LEVEL CROSSING CLOSE TO A SIGNALIZED INTERSECTION (CASE STUDY: JAGIR WONOKROMO SURABAYA RAILWAY LEVEL CROSSING)

In Indonesia, there are still many level crossings, namely between railways and highways. This will cause congestion, in the form of queue length of vehicles that stop due to the gate closing at the railway level crossing. In addition, level railway crossing located near a signalized intersection can also affect the performance of signalized intersections. This is due to the queue length of vehicle that can interfere with intersection. Based on the problem, it is necessary to build two models. The first model is between the gate closing time at level crossing with the length and speed of the train using multiple regression method. The second model is between the gate closing time at level crossing and the queue length of vehicles using a simple regression method. The result of first model shows that the gate closing time at level crossing has a positive relationship with the length of train and a negative relationship with the speed of train. The relationship among these three variabels is y = -2.083 + 0.637 + 249.930. Y is described as the gate closing time at level crossing, while x 1 is the speed of train and x 2 is the length of train. While the result of second model regarding the relationship between the gate closing time at level crossing with the queue length of vehicles has a positive effect in each direction. The relationship between two variabels is y = 1.2329x + 84.725 for East Jagir Wonokromo Street from east to west direction and y = 0.5176x + 24.44 for East Jagir Wonokromo Street from west to east direction. Y is described as the gate closing time at level crossing and xis described as the queue length of vehicles.

Pengaruh Religiositas terhadap Minat Mahasiswa Menabung di Bank Syariah

As students who have an educational background in Islamic Economics, each has a different perception of Islamic Banking. There are still students who compare Islamic banks and conventional banks, a doubt toward the operational saving system, financing or discounting, and the existence of conventional Banks being more affordable than Islamic banks in remote areas. This study aimed to examine the effect of religiosity on students' interest in saving in Islamic banks. This type of research was quantitative with data analysis using a simple regression method. The results showed that the t count was 14,832, and the t table was 1,975 < t count 14,832 with a significance of 0.000 under 0.05. Therefore, it concluded that religiosity significantly affects the saving interest of students at Islamic Banks.

The Influence of Leadership Training on the Performance of State Civil Apparatus at Raden Mattaher Jambi General Hospital

Leadership Education and Training is one type of training for civil servants in order to support structural positions. This training should be followed by all Officials / Prospective Officers who occupy and/or will occupy structural positions. The success will have an impact on the performance of employees in their respective agencies. This study will examine how much influence leadership education and training have on the performance of the Raden Mattaher Hospital Jambi employees? The population and sample were carried out on the alumni of Post-Education and Training 2016-2020 who served at Raden Mattaher Hospital Jambi as many as 10 people, were selected by persuasive sampling. Data was obtained by distributing questionnaires, then analyzed using a simple regression method processed using SPSS 20. The results of this study are that education and training have a positive and significant effect on employee performance and the effect is in the medium category as shown by the regression equation Y = 0.867X + 12.678 with a regression coefficient (recount) obtained at 0.744 when compared with rtable of 0.351, then rcount> rtable (0.744> 0.351). This shows that the regression coefficient is significant so that Ha in this study is accepted. To improve the performance of Raden Mattaher Hospital Jambi employees in serving the community, it is necessary to suggest that every employee is required to attend training education conducted by educational institutions such as the Jambi Province Human Resources Development Agency.

AN ECONOMIC ANALYSIS OF THE FACTORS AFFECTING EGGS IMPORTING IN IRAQ FOR THE PERIOD (2003 – 2018 (AND PREDECTION THE EGGS IMPORTING FOR THE PERIOD (2019 – 2025)

This study aimed to determine the most important factors affecting importing of table eggs in Iraq for the period 2003 - 2018. To achieve the objectives the analysis phase was divided into two parts, the first was to measure factors affecting the importing of table eggs in order to obtain a mathematical relationship between the dependent variable (imports) and the independent variables represented by the local price of table eggs and the price limits for table eggs, the exchange rate, the national income, the population, the local production of table eggs, and the number of table egg projects. The second stage was to predict for the period (2019-2025) using the simple regression method. The results showed that the continuous increase in the population will lead to an increase in the imported quantities of table eggs due to the increase in consumer demand for this product eggs, Most estimated parameters of importing function were significant at 5%. The highest expected amount of imported table eggs (10056 million eggs) on 2025, while the lowest amount (7631.36 million eggs) on 2019. It can be concluded that there is no government policies in subsidizing production inputs and supporting the final product. The study recommended for a policy to protect domestic products from foreign competition.

Partisipasi petani ubi kayu (Manihot esculenta) dalam upaya konservasi lahan kering di Kota Pekanbaru

This research was conducted in September 2020 in Tenayan Raya District, Pekanbaru City. This study describes the participation of cassava farmers in the conservation of dry land according to the Land Conservation Index (IKK) and analyzes socio-economic factors that influence these conservation activities. Respondents in this study were cassava farmers who have farming land over one hectare. Conservation activities carried out by farmers to carry out dry land conservation include, making terraces or uplands and planting in the direction of contour lines or crossing slopes, use of mulch or terrace reinforcing grass, use of manure and construction of drainage channels. The approach used in this study used survey methods and interviews with cassava farmers to obtain farmer socio-economic data, and analyzed using simple regression methods. The results showed that the farmers carried out dry land conservation activities at a moderate level. The influence of socio-economic factors that affect the dry land conservation activities of cassava farmers is the factor of acceptance and land ownership status.

Associations between Nurse Staffing Levels, Patient Experience, and Hospital Rating.

The current study aimed to examine patient experience scores and differences in the scores based on the region and nurse staffing level of hospitals as well as to verify the effect of nurse-related patient experience scores on the overall rating of hospitals. Secondary data from the second Korean Patient Experience Survey—conducted using the cross-sectional design method—were analyzed, and 146 hospitals were included. Patient experience scores included six dimensions, and hospitals were categorized as: tertiary or general hospitals based on their type; capital and non-capital region hospitals based on regions; and beds-nurse or patients-nurse ratios were used based on nurse staffing levels. Pearson’s correlation, simple regression, and multiple regression analysis methods were used. Among the six patient experience dimensions, the nurse-related patient experience score of 86.0 was the highest, whereas patient rights score of 78.4 was lowest. Moreover, the patient experience score for general hospitals with low nurse staffing grade was low, and the nurse experience score affected the overall hospital rating in general hospitals (p = 0.040). Policies to improve nurse staffing level are required to provide high-quality nursing care focused on communication with patients, which can enhance patient experience and satisfaction.

AN ANALYSIS OF FACTORS AFFECTING SHU IN COOPERATIVES OF MICRO BUSINESS AND LABOR COOPERATIVE DEPARTMENT IN KEDIRI CITY

This research aims to determine: (1) the effect of the members number on the remaining business results (SHU), (2) the effect of the loans amount on the remaining business results, (3) the effect of the working amount capital on the remaining business results (SHU), (4) Number of Members, Amount of Loans, and Amount of Working Capital, to Remaining Business Results (SHU) under the auspices of the 2016 micro business and labor cooperative office in Kediri.
 The research population consisted of 64 cooperatives in 2016 spread over 3 sub-districts in Kediri City. Data collection method with documentation. The data analysis techniques used include 1) Classic Assumption Test which includes Normality Test, Linearity Test, Multicollinearity Test, Autocorrelation Test, Heteroscedasticity Test, 2) Hypothesis Testing using simple regression method, multiple regression,
 The results showed that: (1) there is no significant partial effect of the variable number of members (X1) on the residual income (Y) of the cooperative in Kediri City, (2) there is no significant partial effect of the variable amount of member loans (X2) on remaining results of business (Y) at the cooperative in Kediri City.
 Keywords: Number of Members, Amount of Loans, Amount of Capital, and Remaining Business Results

A novel boosting ensemble committee-based model for local scour depth around non-uniformly spaced pile groups

Prediction of the scour depth around non-uniformly spaced pile groups (PGs) is one of the most complex problems is hydraulic engineering. Different types of empirical methods have been developed for estimating the scour depth around the PGs. However, the majority of the existing methods are based on simple regression methods and have serious limitations in modelling the highly nonlinear and complex relationships between the scour depth and its influential variables, especially for the non-uniformly spaced pile. Hence, this study combines prediction powers of tree popular machine learning (ML) methods, namely, Gaussian process regression (GPR), random forest (RF), and M5 model tree (M5Tree) using novel Least Least-squares (LS) Boosting Ensemble committee-based data intelligent technique to more accurately estimate local scour depth around non-uniformly spaced pile groups. A total of 353 laboratory experiments data were compiled from published papers. non-dimensional results obtained demonstrated that the ensemble model can more accurately estimate the scour depth than the individual predictions of the GPR, RF, and M5Tree models. The proposed Ensemble model with correlation coefficient (R), root mean square error (RMSE) and mean absolute percentage of error (MAPE) of 0.972, 0.0153 m, and 10.89%, respectively, significantly outperformed all existing empirical models. Furthermore, the sensitivity analysis demonstrated that the pile diameter is the most influential variable in estimating the scour depth.

PENGARUH MEDIA PEMBELAJARAN DARING TERHADAP PENGETAHUAN BELAJAR MAHASISWA AKUNTANSI

Instructional media is one of important factors that affect students’ understanding on the learning materials. The main purpose of this study is to examine the impact of instructional media especially e-learning on students’ knowledge in a business education context based on E-learning theory. Data collected from 80 valid respondents at two well-known private universities in Bandung were used to test the research hypothesis using simple regression method. The results indicate that e-learning is perceived as a useful approach for helping accounting students acquire knowledge. This study implies that e-learning may be considered as one approach to deliver knowledge in a business education domain.

Development of an optimal experimental model for predicting rock mass rating based on tunneling quality index

In initial phase of mining and civil projects, rock mass rating (RMR) and tunneling quality index (Q) classification systems are widely used. Because of specifying these values, it is possible to predict various rock mass characteristics, such as geomechanical parameters. Hence, many researchers developed experimental models so that the RMR is obtained from Q. The predicted RMR is close to the real value in some domains of Q, but for some domains it is deviated from the real value. Therefore, designers are confused to choose the optimal results of the models. The purpose of this paper is to develop an optimal model for determining RMR various domains of Q. Hence, firstly, the performance of the previous models is evaluated in six different domains of Q and then the best models for each domain are selected. Using the simple regression method, an optimal experimental model is developed based on the selected model in each domain. For this purpose, 214 datasets in the available literatures are used. Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE) indicators are used to evaluate the performance of the models. Investigations show that the results of the developed model are more reliable than the other models for all of the domains. Therefore, the proposed models can be used as general models in all domains.

Assessment of satellite products for filling rainfall data gaps in the Amazon region

AbstractRainfall data series with adequate quality and length are often incomplete or nonexistent. Thus, filling in rainfall gaps becomes necessary to complete databases. This article proposes the use of satellite products (TRMM—Tropical Rainfall Measuring Mission, CHIRPS—Climate Hazards Group InfraRed Precipitation with Stations and CMORPH—CPC Morphing Technique) to fill gaps in the rainfall historical series. The simple regression method, using satellite rainfall estimates, was tested to fill the missing data from 164 rainfall gauge stations in the Amazon region. Large dispersions were observed between rainfall data, with R2 ranging from 0.383 to 0.844, the best results were found in areas with less rainfall. As well, the greatest performance of the products was verified in the dry period, with r and d higher than 0.899 and 0.950, respectively. The product with the best representation in the region was CHIRPS, which had the lowest monthly values of mean absolute error (0.979 mm) and root mean square error (3.656 mm). The results confirm that the satellite estimates satisfactorily represent the seasonal variation of rainfall in the region, despite presenting cases of overestimation and underestimation of data. The higher performance of CHIRPS can be explained by the higher spatial resolution (0.05°), allowing for more accurate weather forecasts. In fact, CHIRPS has the CHPclim model, which adds other factors to the good product performance. These characteristics justify the better performance of the CHIRPS product for filling gaps in daily rainfall data in the Amazon region, favoring the best monthly rainfall estimates for each region state analyzed.Recommendations for Resource Managers Satellite products have been increasingly used for estimating rainfall data in regions with a low number of installed rainfall gauge stations. Thus, the assessment and selection of these products needs to be elaborated for the best decision making of water resource managers. Rainfall data are important to recognize the occurrence patterns for prediction of the climatic behavior of a region. Sectors such as agriculture and disaster prevention (droughts, floods, erosion of watersheds, and river silting) need knowledge of rainfall for planning, management, and mitigation. Knowledge of rainfall behavior is very important in the Amazon region. In this case, the dry season and temperatures have been increasing due to global climate change. These changes establish conditions for more intense fires, which increases the deforestation of the region.

Handheld arduino-based near infrared spectrometer for non-destructive quality evaluation of siamese oranges

Quality evaluation, in particular chemical properties, of orange fruit commonly conducted by destructive method by extracting its juice. A near infrared spectrometer (NIRS) can be used to quantify orange chemical properties with non-destructive method. This research aimed to design a handheld NIRS using AS7263 sensor and Arduino programming to estimate the Siamesa orange quality in its acidity (pH), total soluble solids (TSS) and vitamin C. The AS7263 sensor has six NIR channels for different wavelengths, i.e. R (610 nm), S (680 nm), T (730 nm), U (760 nm), V (810 nm) and W (860 nm). For that, a performance test was carried out using 300 samples of orange. Result show that evaluation of orange quality in acidity and TSS has mean absolute percentage error (MAPE) < 10%, and the vitamin C shows > 10%. In addition, the estimation of orange chemical properties by backpropagation neural network (BPNN) yielded better results compared to simple regression and multiple regression methods.

An Indirect Method to Estimate Total Fertility Rate on the Basis of the Moments of Age Distribution of Women in Reproductive age

Total fertility rate (TFR) is the universally used indicator to measure and monitor fertility transition and population stabilization. Calculation of TFR requires data on births by age of woman. In the absence of these data, several indirect methods have been proposed to estimate TFR but their application is limited to specific period and place. This paper deduces a simple regression method for estimating TFR based on the current age distribution of women in reproductive age. The method can be used to estimate TFR at local level and for different sub-groups of the population.

An investigation on sample size in Leeb hardness test and prediction of some index properties of magmatic rocks

The first aim of this study is to determine the effect of the sample size on the Leeb hardness (HL), which is a non-destructive test, in magmatic rocks. For this scope, cubic samples with edge lengths of 3, 4, 5, 6, 7, 8, 9, and 10 cm from 15 different magmatic rocks (igneous, volcanic, and pyroclastic) were prepared, and variations of the HL values were measured. Based on the results, it was determined that as the strength values of magmatic rock samples increase, the effect of sample size on HL value decreases. Additionally, the minimum sample size, at which the HL value did not change, was found to be 7 cm. The second aim of this study is to examine the correlation between the HL values of the rocks’ minimum sample size, and the index properties were examined by the simple regression method. For this purpose, 76 various types of magmatic rock samples were tested in the laboratory in order to determine their dry and saturated HL values and index (P-wave velocity, dry density, porosity, and uniaxial compressive strength) values. The relationship between the dry and saturated HL values and the index properties of the samples was examined by simple regression analysis. Based on this analysis, a strong linear relationship was found between the index properties. In addition to this, a strong exponential relationship was determined between the dry and saturated HL and uniaxial compressive strength (UCS) values of these rocks, and the determination coefficients (R2) were found to be 0.85 and 0.86, respectively. The Leeb hardness test can be used as a non-destructive method where a regular-shaped rock sample is difficult to obtain (in rocks and/or historical structures) and to estimate the rock properties practically in the laboratory and field.

Clinical Profile, Risk-Factors, and Outcome of Rotaviral Diarrhea and Non-rotaviral Diarrhea Among Under-Five Children at Cuttack, Odisha, India

To understand the prevalence of rotavirus diarrhea and its associated clinical and socio-demographic characteristics. The prospective hospital-based study was conducted at SVP Post Graduate Institute of Pediatrics and SCB Medical College, Odisha, India among children under-five years of age from April 2016 to July 2019. From all eligible children admitted at hospital, a case-report form containing information on clinical and socio-demographic characteristics was collected and an attempt was made to collect stool sample. A simple logistic regression method was used to assess factors associated with rotavirus diarrhea. Of the 1963 children, median (IQR) age was 12 (8-19) mo with a female/male ratio was 1:2.05. The prevalence of rotavirus diarrhea was 36.4% (95% CI, 34.2%-38.6%). Children in the age group of 6-11 (OR 1.64, 95% CI, 1.24-2.18), 12-23 (OR 1.73, 95% CI,1.31-2.29) mo had higher odds of getting rotavirus diarrhea, compared to those in that of 24-59 mo. The prevalence of wasting, stunting, underweight among children with rotavirus diarrhea was 25.2% (95% CI, 22%-28.4%), 2.1% (95% CI, 1.1%-3.1%), 9.0% (95% CI, 6.8%-11.2%), respectively. The results of this study confirmed that diarrhea remains an important cause of hospitalization in children. Further studies are required in the community for Rotavirus and its genotyping.

Evaluation of Variability of Watershed Hydrological Partitioning: The Case of Mormora River, South Eastern Ethiopia

Water resources management in a watershed requires the quantification of the water potential. This is usually achieved by the estimation of the hydrological and meteorological characteristics of the watershed using observed data to carry out statistical estimates. Hydrological and meteorological data for the Mormora watershed were collected to analyze the hydrologic partitioning behavior of the watershed. The available data include a daily record of stream flow data from 1990 to 2007, a thirty years (1983-2012) monthly average precipitation at meteorological stations with in or near the watershed, and a 31 years (1981-2011) maximum and minimum temperature data at the same meteorological stations. The missed data of stream flow was in filled by simple regression method, and an outlier test, F-test, and T-test was computed for the data to check its quality. Necessary information about the geography of the area was obtained from LuLc, Soil, River, DEM, and climate map of Ethiopia, using ArcGIS software. Daily stream flow was converted to monthly scale and was partitioned to base flow and direct runoff using WHAT software. The maximum and minimum temperature data were used to estimate the potential evapotranspiration of the watershed using the 1985 Hargreaves equation. Average areal rainfall was estimated by Thiessen polygon method using ArcGIS software. Following these, the annual water balance of the watershed was analyzed using ‎water ‎balance ‎theory. The inter-annual variability of the water balance, and hydrologic indices were analyzed. The relationship between climate and landscape is also studied. The result shows that the Horton Index and Humidity Index of the watershed are relatively constant with a coefficient‎ of‎ variation, ‎Cv≤0.127.‎Finally‎conclusions‎are‎drawn,‎and‎the‎difficulties‎in‎ making hydrological and meteorological estimates in a watershed with little or no data are highlighted.

An assessment of the day-of the-week-effect in BRICS countries

The present study investigates the stock market anomalies in the stock prices of premier stock exchanges in the BRICS countries. To reach out the objectives of the study, the researchers have adopted different econometric tools such as Descriptive Statistics, Augmented Dickey-Fuller test, Phillips-Perron test, Kwiatkowski Phillips Schmidt and Shin test, Generalised Autoregressive Conditional Heteroskedasticity (GARCH (1, 1)) and Simple Regression Method. The results evident the Thursday effect on the SSEC index of China while the other days' effect is quite insignificant. Further, Bovespa-Brazil, RTSI-Russia, BSE Sensex-India, and JSE-South Africa did not exhibit any mid-day effect during the study period. As per the analysis of GARCH (1, 1), the Wednesday effect could be found for Bovespa but the Thursday effect does not exist. The effect of Thursday for RTSI, SSEC and JSE is significant while the effect of Monday is significant for BSE Sensex and JSE.