scholarly journals Forecasting the Harvest Date and Yield of Sweet Corn by Complex Regression Models

1993 ◽  
Vol 118 (4) ◽  
pp. 450-455 ◽  
Author(s):  
L.W. Lass ◽  
R.H. Callihan ◽  
D.O. Everson
Keyword(s):  
Linear Regression ◽  
Sweet Corn ◽  
Forecast Accuracy ◽  
Planting Date ◽  
Harvest Date ◽  
Coefficient Of Determination ◽  
Growing Degree Days ◽  
Simple Linear Regression ◽  
Degree Days ◽  
Independent Variables

Predicting sweet corn (Zea mays var. rugosa Bonaf.) harvest dates based on simple linear regression has failed to provide planting schedules that result in the uniform delivery of raw product to processing plants. Adjusting for the date that the field was at 80% silk in one model improved the forecast accuracy if year, field location, cultivar, soil albedo, herbicide family used, kernel moisture, and planting date were used as independent variables. Among predictive models, forecasting the Julian harvest date had the highest correlation with independent variables (R2 = 0.943) and the lowest coefficient of variation (cv = 1.31%). In a model predicting growing-degree days between planting date and harvest, R2 (coefficient of determination) = 0.85 and cv = 2.79%. In the model predicting sunlight hours between planting and harvest, R2 = 0.88 and cv = 6.41%. Predicting the Julian harvest date using several independent variables was more accurate than other models using a simple linear regression based on growing-degree days when compared to actual harvest time.

scholarly journals Using Growing Degree Days, Agrometeorological Variables, Linear Regression, and Data Mining Methods to Help Improve Prediction of Sweetpotato Harvest Date in Louisiana

2009 ◽  
Vol 19 (1) ◽  
pp. 133-144 ◽  
Author(s):  
Arthur Villordon ◽  
Christopher Clark ◽  
Don Ferrin ◽  
Don LaBonte
Keyword(s):  
Data Mining ◽  
Linear Regression ◽  
Daily Temperature ◽  
Multivariate Adaptive Regression Splines ◽  
Harvest Date ◽  
Support Vector ◽  
Growing Degree Days ◽  
Base Temperature ◽  
Degree Days ◽  
Data Set

Predictive models of optimum sweetpotato (Ipomoea batatas) harvest in relation to growing degree days (GDD) will benefit producers and researchers by ensuring maximum yields and high quality. A GDD system has not been previously characterized for sweetpotato grown in Louisiana. We used a data set of 116 planting dates and used a combination of minimum cv, linear regression (LR), and several algorithms in a data mining (DM) mode to identify candidate methods of estimating relationships between GDD and harvest dates. These DM algorithms included neural networks, support vector machine, multivariate adaptive regression splines, regression trees, and generalized linear models. We then used candidate GDD methods along with agrometeorological variables to model US#1 yield using LR and DM methodology. A multivariable LR model with the best adjusted r2 was based on GDD calculated using this method: maximum daily temperature (Tmax) – base temperature (B), where if Tmax > ceiling temperature [C (90 °F)], then Tmax = C, and where GDD = 0 if minimum daily temperature <60 °F. The following climate-related variables contributed to the improvement of adjusted r2 of the LR model: mean relative humidity 20 days after transplanting (DAT), maximum air temperature 20 DAT, and maximum soil temperature 10 DAT (log 10 transformed). In the DM mode, this GDD method and the LR model also demonstrated high predictive accuracy as quantified using mean square error. Using this model, we propose to schedule test harvests at GDD = 2600. The harvest date can further be optimized by predicting US#1 yield using GDD in combination with climate-based predictor variables measured within 20 DAT.

Maintaining Customer Loyalty by Intensifying Service Quality and Customer Satisfaction in Commuter Line Jabodetabek

2019 ◽  
Vol 10 (9) ◽  
pp. 902-909
Author(s):  
Umbas Krisnanto ◽  
◽  
Conny Marpaung ◽  
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Customer Satisfaction ◽  
Service Quality ◽  
Hypothesis Testing ◽  
Customer Loyalty ◽  
T Test ◽  
Coefficient Of Determination ◽  
Simple Linear Regression ◽  
Significance Level

This study aims to determine and analyze the influence of Service Quality and Customer Satisfaction on Customer Loyalty in Jabodetabek Commuter Line. The sample of this study was 50 people. Methods of collecting data by distributing questionnaires. Data analysis using the analysis used is simple linear regression, t test and coefficient of determination. The results showed 1) Service Quality has a positive and significant effect on Customer Loyalty in Jabodetabek Commuter Line, with a significance level of 0.048; and supported by the results of hypothesis testing with a t-count value of 4.433 > t-table value of 1.95, with a significance of 0.048 or < 0.05; 2) Customer Satisfaction positive and significant effect on Customer Loyalty in Jabodetabek Commuter Line, with a level significance of 0,000; and supported by the results of hypothesis testing with a t-count value of 4,969 > t-table value of 1.95, with a significance of 0,000 or < 0.05, 3) Service quality and Customer Satisfaction have a positive and significant effect on Customer Loyalty in Jabodetabek Commuter Line, with a significance level of 0,000. This means that the hypothesis H0 is rejected and Ha is accepted so that it can be concluded that service quality and customer satisfaction together have a positive and significant effect on customer loyalty in Jabodetabek Commuter Line.

scholarly journals Developing Equations for Converting Digestible Energy to Metabolizable Energy for Korean Hanwoo Beef Cattle

Animals ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1696
Author(s):  
Ridha Ibidhi ◽  
Rajaraman Bharanidharan ◽  
Jong-Geun Kim ◽  
Woo-Hyeong Hong ◽  
In-Sik Nam ◽  
...  
Keyword(s):  
Linear Regression ◽  
Beef Cattle ◽  
Strong Relationship ◽  
Dietary Factors ◽  
Metabolizable Energy ◽  
Coefficient Of Determination ◽  
Simple Linear Regression ◽  
Male And Female ◽  
Digestible Energy ◽  
Wide Range

This study was performed to update and generate prediction equations for converting digestible energy (DE) to metabolizable energy (ME) for Korean Hanwoo beef cattle, taking into consideration the gender (male and female) and body weights (BW above and below 350 kg) of the animals. The data consisted of 141 measurements from respiratory chambers with a wide range of diets and energy intake levels. A simple linear regression of the overall unadjusted data suggested a strong relationship between the DE and ME (Mcal/kg DM): ME = 0.8722 × DE + 0.0016 (coefficient of determination (R2) = 0.946, root mean square error (RMSE) = 0.107, p < 0.001 for intercept and slope). Mixed-model regression analyses to adjust for the effects of the experiment from which the data were obtained similarly showed a strong linear relationship between the DE and ME (Mcal/kg of DM): ME = 0.9215 × DE − 0.1434 (R2 = 0.999, RMSE = 0.004, p < 0.001 for the intercept and slope). The DE was strongly related to the ME for both genders: ME = 0.8621 × DE + 0.0808 (R2 = 0.9600, RMSE = 0.083, p < 0.001 for the intercept and slope) and ME = 0.7785 × DE + 0.1546 (R2 = 0.971, RMSE = 0.070, p < 0.001 for the intercept and slope) for male and female Hanwoo cattle, respectively. By BW, the simple linear regression similarly showed a strong relationship between the DE and ME for Hanwoo above and below 350 kg BW: ME = 0.9833 × DE − 0.2760 (R2 = 0.991, RMSE = 0.055, p < 0.001 for the intercept and slope) and ME = 0.72975 × DE + 0.38744 (R2 = 0.913, RMSE = 0.100, p < 0.001 for the intercept and slope), respectively. A multiple regression using the DE and dietary factors as independent variables did not improve the accuracy of the ME prediction (ME = 1.149 × DE − 0.045 × crude protein + 0.011 × neutral detergent fibre − 0.027 × acid detergent fibre + 0.683).

scholarly journals PENGARUH REVIU RKA-K/L OLEH APIP TERHADAP EFISIENSI ALOKASI ANGGARAN KEMENTERIAN AGAMA

2019 ◽  
Vol 1 (1) ◽  
pp. 12
Author(s):  
Edy Effendi ◽  
Muhammad Imron
Keyword(s):  
Linear Regression ◽  
Simple Linear Regression ◽  
Independent Variables ◽  
Dependent Variables ◽  
Before And After ◽  
The Impact ◽  
The Relationship ◽  
Positive Effect

Research on the role of the APIP review of the Ministry/agency Work Plan and Budget document to determine the impact on the efficiency of ministry/agency spending (case study at the Ministry of Religion). The method used in this study uses simple linear regression with dummy. The use of linear regression is used to examine the relationship between independent variables (certain types of expenditure) and dependent variables (total expenditure). Whereas, dummy is used to find out before and after the APIP review is done. Throughout the author's search, this research has never been done. Based on the results of linear regression obtained, the APIP review significantly had a positive effect on official travel expenditure and honorarium but did not significantly affect building spending and equipment. Abstrak   Penelitian atas peran reviu APIP atas dokumen Rencana Kerja dan Anggaran Kementerian Negara/Lembaga untuk mengetahui dampaknya terhadap efisiensi belanja kementerian/lembaga (studi kasus pada Kementerian Agama). Metode yang digunakan dalam penelitian ini menggunakan regresi linier sederhana dengan dummy. Penggunaan regresi liner digunakan untuk meneliti hubungan antara variable independen (jenis belanja tertentu) dan variable dependen (total belanja). Sedangkan, dummy digunakan untuk mengetahui sebelum dan setelah reviu APIP dilakukan. Sepanjang penelusuran penulis, penelitian ini belum pernah dilakukan. Berdasarkan hasil regresi linier diperoleh, reviu APIP signifikan berpengaruh positif terhadap  belanja perjalanan dinas dan honorarium tetapi tidak signifikan berbengaruh terhadap belanja gedung dan alat.

scholarly journals ANALISIS PENGARUH PENAGIHAN PAJAK DENGAN SURAT PAKSA TERHADAP PENERIMAAN PAJAK DI KANTOR PELAYANAN PAJAK PRATAMA ARGAMAKMUR PROVINSI BENGKULU

2017 ◽  
Vol 5 (2) ◽  
Author(s):  
Adhitya Yuspitara ◽  
Karona Cahya Susena ◽  
Herlin
Keyword(s):  
Linear Regression ◽  
Income Tax ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Coefficient Of Determination ◽  
Tax Revenue ◽  
Simple Linear Regression ◽  
Simple Correlation ◽  
Tax Collection ◽  
Made In

Adhitya Yuspitara, Karona Cahya Susena, Herlin; The purpose of this study is to provide an overview of tax collection actions with a forced letter made in the tax office Pratama Argamakmur, Knowing the effect of tax collection by a forced letter in the tax service office pramama argamakmur in order to increase tax revenue in KPP Prtama Argamakmur in particular corporate income tax.  Data collection method used is secondary data in the form of documentation. The method of analysis used is simple linear regression analysis and hypothesis testing with t test. Based on the results of research and data analysis on the effect of tax collection with a letter of force against tax revenue in the tax office Pratama Argamakmur can draw the conclusion of the results of simple correlation analysis, simple linear regression value Y=7.105.100,391+977.683,917X r value = 0,803 The coefficient of determination = 0.645 and the value of t arithmetic greater than t table is 5,714>1.725 it indicates that Ho is rejected and Ha received which means that there is influence of tax collection with the letter of force against the tax revenue.Key Words:  Tax collection and Tax Receipts

PENGARUH KEPRIBADIAN TERHADAP KINERJA KARYAWAN DI HOTEL ELRESAS LAMONGAN

2017 ◽  
Vol 11 (2) ◽  
pp. 221
Author(s):  
Nilawati Fiernaningsih
Keyword(s):  
Linear Regression ◽  
Employee Performance ◽  
Hypothesis Test ◽  
Sampling Technique ◽  
Coefficient Of Determination ◽  
Simple Linear Regression ◽  
Performance Variables ◽  
Descriptive Research ◽  
Quantitative Descriptive ◽  
Entire Amount

The purpose of this study to determine the effect of personality on employee performance. The type of research used is quantitative descriptive research. Sampling technique using non probability sampling method with saturated sampling technique that is taking the entire amount of the population to be sampled that is a number of 30 respondents. Methods of data collection by interview, questionnaire and observation. For data analysis used simple linear regression. Based on the analysis of data processing that has been tested in this study stated valid and reliable. The result of simple linear regression equation is Y = 26,309 + 2,061X. Results of the hypothesis test are known to be> ttable> 5,025> 2.048. Coefficient of determination of 0.474. While the percentage of the magnitude of the influence between the variable personality and employee performance variables of 49.2% and the rest of 50.8% influenced by other variables not examined in this study.

scholarly journals Spatial Soil Temperature and Moisture Monitoring Across the Transylvanian Plain in Romania

2010 ◽  
Vol 67 (1) ◽  
Author(s):  
Beatrix HAGGARD ◽  
Teodor RUSU ◽  
David WEINDORF ◽  
Horea CACOVEAN ◽  
Paula MORARU ◽  
...  
Keyword(s):  
Best Management Practices ◽  
Management Practices ◽  
Spline Interpolation ◽  
Planting Date ◽  
Growing Degree Days ◽  
Base Temperature ◽  
Degree Days ◽  
Corn Hybrids ◽  
Important Region ◽  
Soil Temperatures

The Transylvanian Plain, Romania is an important region for agronomic productivity. However, limited soils data and adoption of best management practices hinder land productivity. Soil temperatures of the Transylvanian Plain were evaluated using a set of twenty datalogging stations positioned throughout the plain. Soil temperatures were monitored at the surface and at 10, 30, and 50 cm depths, and soil moisture was monitored at 10 cm. Preliminary results indicate that most soils of the Transylvanian Plain will have a mesic temperature regime. However, differences in seasonal warming and cooling trends across the plain were noted. These have important implications for planting recommendations. Growing degree days (GDDs) are preferred over maturity ratings, because they can account for temperature anomalies. The crop being considered for this study was corn. The base temperature (BT) was set at 10oC, and the upper threshold was 30oC. Two methods were used to calculate GDDs; 1) minimum and maximum daily temperatures, and 2) 24 h of averaged temperature data. Growing degree days were run from 110-199 day of year (DOY) to represent approximate planting date to tasseling. The DOY that 694 accumulated growing degree days (AGDDs) was reached at each site was then analyzed to identify differences across the TP. Three sites failed to reach 694 AGDDs by DOY 199, and were excluded from comparisons to other results. Averaged values were used to create spline interpolation maps with ArcMap 9.2 (ESRI, Redlands, CA, USA). The southeastern portion of the TP was found to tassel a month earlier assuming a planting date of 109 DOY. Four DeKalb® corn hybrids were then selected based on GDDs to tasseling, drydown, drought tolerance, and insect resistance. With a better understanding of the GDD trends across the TP, more effective planting and harvesting could be accomplished by Romanian farmers to maximize agronomic production.

scholarly journals Pengaruh Service Quality terhadap Customer Satisfaction Pada PT. Bank Jateng KCP Cepu

2018 ◽  
Vol 6 (1) ◽  
pp. 86
Author(s):  
Zariahwati Ajining Pambudi
Keyword(s):  
Linear Regression ◽  
Customer Satisfaction ◽  
Service Quality ◽  
Hypothesis Test ◽  
Sampling Technique ◽  
T Test ◽  
Coefficient Of Determination ◽  
Simple Linear Regression ◽  
Test Of Hypothesis ◽  
Study Population

<p><em>This research has a purpose to know the implementation of Service Quality, to know the Customer Satisfaction at PT. Bank Jateng KCP Cepu. </em><em>In this study population consists of 1.000 customer satisfaction with a sample of 286 using Incidental sampling technique. Data were taken by questionnaire, observation and documentation. The analysis was processed with SPSS program version 22.0 </em>using simple linear regression with test of hypothesis test of determination and t test. <em>The result of research shows that the result of Simple Linear Regression Test is Y = 9,311 + 0,763 X, constant of 9,311 means if variable of Service Quality is still value then Customer Satisfaction is 0,763 so there is influence between Service Quality to Customer Satisfaction. The result of Coefficient of Determination (</em> <em>) is known 0,400 means 40% Service Quality is influenced by Customer Satisfaction, while the rest 60% Service Quality is influenced by other variables not examined in this research. Then, the result of t test obtained </em> <em>value is 13,765 while  </em> <em> equal to 1,9683. This means that the value of</em><em> </em><em> </em> <em> &gt; </em> <em> (13,765&gt;1,9683) so it can be concluded that Ho is rejected and Ha accepted, meaning there is influence the Service Quality to Customer Satisfaction at </em><em>             </em><em>PT. Bank Jateng KCP Cepu.</em></p>

scholarly journals Pengaruh Kepemimpinan Terhadap Kinerja Anggota Reserse Polresta Pekanbaru

2017 ◽  
Vol 3 (1) ◽  
pp. 36-45
Author(s):  
Aznuriyandi Aznuriyandi
Keyword(s):  
Data Collection ◽  
Sampling Method ◽  
Linear Regression Analysis ◽  
Coefficient Of Determination ◽  
Simple Linear Regression ◽  
Leadership Performance ◽  
Independent Variables ◽  
Future Data ◽  
Police Detective ◽  
Reserve Unit

This research was conducted in Pekanbaru City Police Reserve Unit Jalan Ahmad Yani No. 11 Pekanbaru-Riau. The purposeof this study is KnowingLeadership Influenceon Performance Pekanbaru Police Detective Member. While the benefit soft his research is as consideration in applying the provision of leadership in improving the performance of Pekanbaru Police Detective Member on the future. Data collection techniques used in this research is to use the data collection tool in the form of questionnaires and interviews, and the sampling method used is random sampling by the formula Slovin. Where the amount of the overall population of 156 people and a sample of 88 people. Analysis of the data used is a simple linear regression analysis with SPSS vers. 17. Besides done also partial test (t test). From the results of research on the influence of leadership in improving the performance of members of disatlantas pekanbaru tcount t¬¬tabel ie greater than 8365> 1,999. Leadership means having a significant effect in improving the performance of members of Traffic pekanbaru. Large influence the dependent variable can be seen from the value of coefficient of determination (R-square), the amount is 0.449 or 44.9%, while the remaining 55.1% is influenced by other independent variables were not examined in this study.influenced by other independent variables were not examined in this study Keywords: Leadership, Performance

scholarly journals PENGARUH KOMPETENSI TERHADAP KINERJA KARYAWAN PADA PT. BANK DANAMON INDONESIA, TBK CABANG SIMPANG PASAR BAWAH

2019 ◽  
Vol 10 (3) ◽  
pp. 339-349
Author(s):  
Nana Dianita
Keyword(s):  
Performance Analysis ◽  
Linear Regression ◽  
Regression Method ◽  
Linear Regression Method ◽  
Linear Regression Equation ◽  
Simple Linear Regression ◽  
Independent Variables ◽  
Close Relationship ◽  
And Performance ◽  
The Relationship

The purpose of this study was to determine the effect of competence on the performance of employees at PT. Bank Danamon Indonesia, Tbk Cabang Simpang Pasar Bawah. The sample in this study were all employees at PT. Bank Danamon Indonesia, Tbk Cabang Simpang Pasar Bawah totaling 34 people. While the variables studied in this research is the competence and performance. Analysis of data using simple linear regression method using validity, reliability, R2 and t test. The tests are conducted to determine the relationship between the independent variables (independent variables) and dependent variable (dependent variable). Based on research results the effect of competence on the performance of employees with correlation value R = 0,656 which indicates a close relationship between the effect of competence on the performance of employees at PT. Bank Danamon Indonesia, Tbk Cabang Simpang Pasar Bawah. While the R-square at 0,430 which can competence has contributed of 43% to the performance of employees at . Bank Danamon Indonesia, Tbk Cabang Simpang Pasar Bawah. Partially acquired competence variable positive and significant effect on the performance employees at . Bank Danamon Indonesia, Tbk Cabang Simpang Pasar Bawah with simple linear regression equation as follows: Y = 18,342 + 0,627X significantly smaller 0,000 than alpha 0,05. The conclusion of this study that partial hypothesis between variables competence on performance employees is proven and can be accepted as true

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