scholarly journals On-the-Go Grapevine Yield Estimation Using Image Analysis and Boolean Model

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Borja Millan ◽  
Santiago Velasco-Forero ◽  
Arturo Aquino ◽  
Javier Tardaguila
Keyword(s):  
Image Analysis ◽  
Boolean Model ◽  
Coefficient Of Determination ◽  
Mean Square ◽  
Yield Estimation ◽  
Model Image ◽  
Mean Error ◽  
Cluster Area ◽  
The Relationship

This paper describes a new methodology for noninvasive, objective, and automated assessment of yield in vineyards using image analysis and Boolean model. Image analysis, as an inexpensive and noninvasive procedure, has been studied for this purpose, but the effect of occlusions from the cluster or other organs of the vine has an impact that diminishes the quality of the results. To reduce the influence of the occlusions in the estimation, the number of berries was assessed using the Boolean model. To evaluate the methodology, three different datasets were studied: cluster images, manually acquired vine images, and vine images captured on-the-go using a quad. The proposed algorithm estimated the number of berries in cluster images with a root mean square error (RMSE) of 20 and a coefficient of determination (R2) of 0.80. Vine images manually taken were evaluated, providing 310 grams of mean error and R2=0.81. Finally, images captured using a quad equipped with artificial light and automatic camera triggering were also analysed. The estimation obtained applying the Boolean model had 610 grams of mean error per segment (three vines) and R2=0.78. The reliability against occlusions and segmentation errors of the Boolean model makes it ideal for vineyard yield estimation. Its application greatly improved the results when compared to a simpler estimator based on the relationship between cluster area and weight.

scholarly journals The effects of age and body weight on powerlifters: An analysis model of powerlifting performance based on machine learning

2019 ◽  
Vol 18 (3) ◽  
pp. 89-99
Author(s):  
Vinh Huy Chau ◽  
Anh Thu Vo ◽  
Ba Tuan Le
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Body Weight ◽  
Root Mean Square Error ◽  
Coefficient Of Determination ◽  
Mean Square ◽  
Analysis Model ◽  
Factors Affecting ◽  
Artificial Intelligence Algorithm ◽  
The Relationship

Abstract As a up and coming sport, powerlifting is gathering more and more attetion. Powerlifters vary in their strength levels and performances at different ages as well as differing in height and weight. Hence the questions arises on how to establish the relationship between age and weight. It is difficult to judge the performance of athletes by artificial expertise, as subjective factors affecting the performance of powerlifters often fail to achieve the desired results. In recent years, artificial intelligence has made groundbreaking strides. Therefore, using artificial intelligence to predict the performance of athletes is among one of many interesting topics in sports competitions. Based on the artificial intelligence algorithm, this research proposes an analysis model of powerlifters’ performance. The results show that the method proposed in this paper can predict the best performance of powerlifters. Coefficient of determination-R2=0.86 and root-mean-square error of prediction-RMSEP=20.98 demonstrate the effectiveness of our method.

scholarly journals CORRELATION OF FINANCING MANAGEMENT TOWARDS THE QUALITY OF EDUCATION IN MADRASAH DINIYAH TAKMILIYAH AWALIYAH IN BANDUNG DISTRICT

2021 ◽  
Vol 5 (2) ◽  
pp. 96-104
Author(s):  
Badrudin Badrudin ◽  
Neng Gustini ◽  
Cep Ilyas Amirulloh
Keyword(s):  
Coefficient Of Determination ◽  
Quality Of Education ◽  
Significance Level ◽  
Analysis Techniques ◽  
A Value ◽  
Partial Analysis ◽  
Data Collection Technique ◽  
Linearity Test ◽  
The Relationship

This study aims to determine and describe the relationship between financing management and the quality of diniyah education in Madrasah Diniyah Takmiliyah Awaliyah in the Bandung Regency. This study uses a quantitative approach. The data collection technique is done by distributing questionnaires (questionnaires) and documentation with a sample of 37 people. The data analysis techniques used are research instrument trials, partial analysis, correlation analysis, and coefficient of determination (contribution) analysis. The results showed that the achievement of financing management and the quality of diniyah Takmiliyah Awaliyah education in Bandung Regency showed a significant relationship between financing management and the quality of diniyah education. The linearity test of financing management (X) and the quality of diniyah education (Y) obtained a value of F = 1.611 with a significance level of 0.218, so it can be interpreted that it has a positive and significant linear relationship. This study has implications for the importance of effective financing management in improving the quality of madrasah.

scholarly journals PENGARUH PENERAPAN STANDAR AKUNTANSI KEUANGAN ENTITAS TANPA AKUNTABILITAS PUBLIK TERHADAP KUALITAS LAPORAN KEUANGAN

2017 ◽  
Vol 1 (3) ◽  
pp. 244
Author(s):  
Silviana Agustami ◽  
Imam Agus Suintri
Keyword(s):  
Financial Reporting ◽  
Rank Correlation ◽  
Financial Statements ◽  
Primary Data ◽  
Coefficient Of Determination ◽  
Financial Reports ◽  
Independent Variable ◽  
The Relationship ◽  
Descriptive Method

This study aims to (1) determine the implementation of SAK ETAP at BPR in the Bandung city (2) determine the quality of the financial reports of BPR in the Bandung city, and (3) determine the effect of the implementation of SAK ETAP to quality financial reports on BPR in Bandung city. In this study, researchers used primary data for variable implementation of SAK ETAP and the quality of financial reporting through questionnaires distributed to 11 BPR in the Bandung city. The method used in this research is descriptive method verikatif. The statistical analysis tools in this study using Spearman rank correlation to determine the direction and strength of the relationship between the two variables, while the coefficient of determination is used to determine the ability of the independent variable (X) in influencing the dependent variable (Y). These results indicate (1) the implementation of SAK ETAP at BPR in the Bandung city in general has been implemented adequately (2) BPR in the Bandung city has been preparing and presenting the financial statements sufficient to satisfy the elements of relevant, reliable, able to comparable, and understandable (3) the implementation of SAK ETAP moderate effect on the quality of the financial reports of BPR in the Bandung city, amounting to 0.587. Based on the calculation of the coefficient of determination SAK ETAP implementation contribute to or influence by 34.5%% of the quality of financial reporting at BPR in the Bandung city, while the remaining 65.5% was contributed by other factors not examined

scholarly journals Pengaruh Pelatihan Terhadap Produktivitas Karyawan pada PT.Alfaria Trijaya, Tbk Soekarno-Hatta Bandung

KarismaPro ◽  
2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Harun Heri Trismiyanto
Keyword(s):  
Labor Productivity ◽  
Work Productivity ◽  
Strong Relationship ◽  
Coefficient Of Determination ◽  
Employee Productivity ◽  
Workforce Management ◽  
Descriptive Research ◽  
Multiple Correlation Analysis ◽  
The Relationship

So that labor productivity increased labor, one of the ways that must be taken workforce management is providing training to its workforce. This research is classified into associative research and descriptive research. Associative research is research that aims to determine the relationship between two or more variables. in this study, researchers will explain the variables that would be appropriate that occurred in PT.Alfaria Trijaya, Tbk Bandung.The total number of employees PT.Alfaria Trijaya, Tbk part minimarket service in the Bandung area is a total of about 1500 people. The sample will be taken is 62 people. the data analysis is classifying data based on variables and types of respondents, tabulate the data based on the variables of all respondents, presenting the data of each variable studied, perform calculations to test the hypothesis that has been proposed. The results of multiple correlation analysis showed a correlation value 0892. means of training and productivity of employees have a degree of force that is very strong relationship with work productivity. That assumption is taken from the value of 0, 892 which is in the range of 0.8 to 1.The coefficient of determination used to how big the influence of training on labor productivity. Based on the analysis using SPSS 13:00 KD value obtained is equal to 0796 X 100% = 79.6% of the value shows that the effect of training on labor productivity is 79.6% while the remaining 20.4% influenced by other variables. Based on the calculation result is unknown if the training provides a positive and significant effect on employee productivity. The condition is indicated when an increase in the quality of training will result in an increase in employee productivity.

scholarly journals Verification of two- and three-parameter simple height-diameter models for birch in the European part of Russia

2020 ◽  
Vol 66 (No. 9) ◽  
pp. 375-382
Author(s):  
Aleksandr Lebedev
Keyword(s):  
Information Criterion ◽  
Coefficient Of Determination ◽  
Percentage Error ◽  
Literary Sources ◽  
Error Coefficient ◽  
European Part Of Russia ◽  
Relationship Of ◽  
The Relationship ◽  
Two Parameter

The accuracy of determining the height of trees is essential both in forestry and in scientific research. Height is usually determined using specific models, where it is a function of the diameter at breast height. On the materials of 23 sample plots with the measurement of model trees in birch stands, the parameters were determined for 29 two-parameter and three-parameter models that are most often found in literary sources. The following metrics evaluated the quality of the models: root mean square error, mean absolute percentage error, coefficient of determination, adjusted coefficient of determination, Akaike information criterion, and Bayesian information criterion. Three-parameter models of the dependence of height on diameter by a set of metrics show somewhat better quality than two-parameter models. Nevertheless, in general, the differences between most models are minor. Along with the models selected as the best, the Näslund and Chapman-Richards equations, which are often used in the literature as the most flexible, showed good quality. The methodology of this study allows you to repeat the same work for tree species and forest conditions, for which information on the nature of the relationship of height with diameter is incomplete or missing.

scholarly journals DATA MINING FOR PREDICTING THE AMOUNT OF COFFEE PRODUCTION USING CRISP-DM METHOD

2020 ◽  
Vol 17 (1) ◽  
pp. 1-8
Author(s):  
Ali Khumaidi
Keyword(s):  
Coefficient Of Determination ◽  
Data Preparation ◽  
Coffee Production ◽  
Data Set ◽  
Coffee Plantations ◽  
Preparation Stage ◽  
Coffee Plants ◽  
Internal And External Factors ◽  
The Relationship

The production of coffee plantations has become the leading plantation commodity with the export value of the fourth rank after oil palm, rubber and coconut. The number of coffee needs for export every year always increases, therefore it is necessary to predict the yield of coffee plants to estimate planting and anticipation that will be done so as to achieve the target. Coffee plant productivity is influenced by internal and external factors, namely the quality of the plant itself, soil, altitude and climate. The method used in this study is the CRISP-DM method and multiple linear regression algorithm to predict the amount of coffee production and determine the relationship between the variables. The steps taken are business understanding, data understanding, data preparation, modeling and evaluation. The data set that is used as many as 170 data after going through the data preparation stage produced 150 data with 5 attributes in the table. With calculations using tools, the coefficient of determination is 91.96%. That the variation in the value of the production of coffee plants is influenced by independent variables, namely the area of ​​plantations, rainfall, air pressure and solar radiation by 91.96% and 8.04% influenced by other variables not measured in this study. The results of the evaluation and validation of predictions produce good accuracy with an RMSE value of 0.3477.

scholarly journals PENGARUH MANAJEMEN FUNDRAISING DAN KUALITAS PELAYANAN TERHADAP KEPERCAYAAN MUZAKKI PADA WAHDAH INSPIRASI ZAKAT CABANG KALIMANTAN TIMUR

2021 ◽  
Vol 9 (4) ◽  
pp. 261
Author(s):  
Riyani Riyani
Keyword(s):  
Quality Of Service ◽  
Service Quality ◽  
Correlation Coefficient ◽  
Total Sample ◽  
T Test ◽  
Coefficient Of Determination ◽  
East Kalimantan ◽  
Independent Variable ◽  
The Relationship

This study aims to determine the effect of fundraising management and service quality on muzakki trust. This research was conducted at Wahdah Inspirasi Zakat (WIZ) East Kalimantan branch with a total sample of 92 respondents. Collecting data in this study using a questionnaire distributed to respondents. The results showed that 92 respondents obtained a correlation coefficient (R) of 0.766, which means that the relationship between the independent variable and the dependent variable is strong. The coefficient of determination (R2) obtained is 0.586 or 58.6%, which means that the influence of fundraising management variables and service quality is 58.6% on Muzakki's trust and 41.4% is influenced by other variables. The F test obtained is very significant, the effect of fundraising management and service quality on muzakki's trust is 63,116> 3,10, there is a simultaneous significant effect on muzakki's trust. The t test (partial) on the fundraising management variable on Muzakki's trust was 1.307 <1.986, which means that fundraising management did not have a significant effect on Muzakki's trust, while the t (partial) test on the variable service quality on Muzakki's trust was 8.387 <1.986 which This means that the quality of service has a significant effect on Muzakki's trust.

scholarly journals SPAD-502 and atLEAF CHL PLUS values provide good estimation of the chlorophyll content for Hevea brasiliensis Müll. Arg. Leaves

2020 ◽  
Vol 88 (1) ◽  
Author(s):  
Andi Nur CAHYO ◽  
Rudi Hari MURTI ◽  
Eka Tarwaca Susila PUTRA ◽  
Tri Rini NURINGTYAS ◽  
Denis FABRE ◽  
...  
Keyword(s):  
Chlorophyll Content ◽  
Coefficient Of Determination ◽  
Mean Square ◽  
Standard Laboratory ◽  
Laboratory Procedure ◽  
Rubber Plant ◽  
Leaf Chlorophyll ◽  
The Relationship ◽  
Non Destructive ◽  
Destructive Methods

Measurement of chlorophyll content using destructive methods is not efficient due to a large number of samples, cost, and time needed. Estimationof chlorophyll content by nondestructive methods using handheld chlorophyll meter may be considered to improve efficiency. This research aimed to determine the formula to convert SPAD-502 and atLEAF CHL PLUS values (relative indicator of chlorophyll content) to estimated (absolute) rubber leaves chlorophyll content. Twenty leaves of rubber plant were measured using SPAD-502 and atLEAF CHL PLUS at the same time to determine SPAD-502 and atLEAF CHL PLUS values. The measured leaves were then collected to determine the chlorophyll content using a standard laboratory procedure. Regression and correlation analyses (among 3 methods) were conducted using SAS v.9 software. The results showed that between SPAD-502 and atLEAF CHL PLUS values were closely correlated, hence both of the devices can substitute each other to estimate rubber leaf chlorophyll content. In addition, the relationship between atLEAF CHL PLUS and SPAD-502 values with actual chlorophyll content of rubber clone SP 217, PB 260, GT1, and all clones (general) were significant with high coefficient of determination (R2) as well as low Root Mean Square Error (RMSE) and Coefficient of Variation (CV). Therefore, by using formula determined in this study, both atLEAF CHL PLUS and SPAD-502 can be suggested for accurate, fast, and non-destructive estimation of chlorophyll content of rubber plant leaf.

scholarly journals PEMODELAN REGRESI SPLINE (Studi Kasus: Herpindo Jaya Cabang Ngaliyan)

2015 ◽  
Vol 4 (3) ◽  
pp. 110
Author(s):  
I MADE BUDIANTARA PUTRA ◽  
I GUSTI AYU MADE SRINADI ◽  
I WAYAN SUMARJAYA
Keyword(s):  
Multiple Regression ◽  
Regression Function ◽  
Predictor Variables ◽  
Coefficient Of Determination ◽  
Purchasing Decisions ◽  
Product Price ◽  
Nonparametric Approach ◽  
The Relationship ◽  
Response Variables

Regression analysis is a method of data analysis to describe the relationship between response variables and predictor variables. There are two approaches to estimating the regression function. They are parametric and nonparametric approaches. The parametric approach is used when the relationship between the predictor variables and the response variables are known or the shape of the regression curve is known. Meanwhile, the nonparametric approach is used when the form of the relationship between the response and predictor variables is unknown or no information about the form of the regression function. The aim of this study are to determine the best spline nonparametric regression model on data of quality of the product, price, and advertising on purchasing decisions of Yamaha motorcycle with optimal knots point and to compare it with the multiple regression linear based on the coefficient of determination (R2) and mean square error (MSE). Optimal knot points are defined by two point knots. The result of this analysis is that for this data multiple regression linear is better than the spline regression one.

scholarly journals PENGARUH KUALITAS PELAYANAN TERHADAP CITRA PERUSAHAAN (STUDI KASUS DI POLITEKNIK LP3I JAKARTA KAMPUS CIBINONG)

2019 ◽  
Vol 8 (1) ◽  
pp. 137
Author(s):  
Yunita Indriany
Keyword(s):  
Quality Of Service ◽  
Service Quality ◽  
Quantitative Research ◽  
Corporate Image ◽  
Coefficient Of Determination ◽  
Dependent Variables ◽  
Conducting Research ◽  
The Relationship ◽  
Positive Effect

<p>Based on observations in the field, it can be seen that at the Polytechnic LP3I Jakarta Cibinong Campus service is generally seen as good enough, but there are some services that are still considered not optimal. Based on this, the writer is interested in conducting research to find out how much influence the quality of service on corporate image (Polytechnic LP3I Jakarta Cibinong Campus). The type of research chosen is a type of quantitative research. Quantitative research was chosen because researchers wanted to measure the effect of service quality on image at the Polytechnic LP3I Jakarta Cibinong Campus using a scale and size that had been previously designed. This measurement is based on the respondent's answer to a questionnaire containing various questions and statements with variations of answers that have been provided by the author. This research is explanative, namely a study that explains the interplay between independent variables (Service Quality) and dependent variables (Image Company) through testing hypotheses. In this case the researcher examines whether there is an influence between the quality of service to the company image by testing several theories used. From the results of the analysis obtained the value of service quality has a significant positive effect on the image shown by the r value of 0.587 which means the relationship between the two is strong. While the coefficient of determination (R2) is equal to 0.344, which means that service quality can increase the company's image variable by 34.4%, while the remaining 65.6% is explained by other variables.</p><p> Keywords: Service, Quality, Image</p>

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