scholarly journals Automated Modular Data Analysis and Visualization System with Predictive Analytics Using Machine Learning for Agriculture field

2019 ◽  
Vol 5 (1) ◽  
pp. 1 ◽  
Author(s):  
Ahish N ◽  
Shashikala H K ◽  
Bharath N
Keyword(s):  
Data Analysis ◽  
Linear Model ◽  
Predictive Analytics ◽  
Nonlinear Models ◽  
Descriptive Analysis ◽  
Predictive Analysis ◽  
Final Report ◽  
Visualization System ◽  
Agricultural Yield ◽  
Agricultural Yields

Economy of an India is majorly depending on growth of agricultural yields, and its allied agro industry products. Prediction of agricultural yield growth is a most difficult for the agriculture departments across iglobe. 1The agricultural yields growth is depending on several factors. In this paper historical data is analyzed and a predictive model was designed. 1Several Regression models such as linear model, multiple linear model and nonlinear models were tested for an effective prediction, or for forecasting the agricultural yield for a variety of crops. Along with this the crop trade for local farmers is a very complicated and tedious task and can get easily mislead by the system we are proposing helps them to analyze the crop availability and also according to market prices can be able to predict various characteristics of the trade. The proposed method is capable of producing the visual representation after data analysis and provides the prediction results in a visual format. And also the unstructured data analysis is implemented in the system. In the proposed method, the pre-processed input data will be sent to perform a descriptive analysis and a predictive analysis. In the descriptive analysis, the data is analyzed and the summary of the analysis is given as the output.In Predictive analysis, there are steps to be considered for the analysis. At the end summary of predicted results are given as output and summary of both descriptive analysis and predictive analysis is given as final report in visual format.

Historical operational data analysis for defence preparedness planning

2016 ◽  
Vol 15 (2) ◽  
pp. 231-244
Author(s):  
Kamran Shafi ◽  
Essam Debie ◽  
David Oliver
Keyword(s):  
Data Analysis ◽  
Descriptive Analysis ◽  
Temporal Trends ◽  
Predictive Analysis ◽  
Data Set ◽  
Preparedness Planning ◽  
Australian Defence Force ◽  
Spatial And Temporal Trends ◽  
National Defence ◽  
Operational Data

Preparedness is an important function of defence planning that involves developing defence capabilities to deal with emergent situations relating to national defence and security. Preparedness planning relies on a number of inputs, including requirement analysis, to identify critical capability gaps. Modern data analysis can play an important role in identifying such future requirements. To this end, this paper presents an analytical study, consisting of both descriptive as well as predictive analysis, of historical defence operational data. The descriptive analysis component of the methodology focuses on identifying useful features in the collected data for building a predictive model. The predictive analysis investigates existing patterns in the data, including spatial and temporal trends. An artificial neural network based time series forecasting model is developed to predict future operations based on the identified features. The proposed methodology is applied to a defence operational data set, built from a number of unclassified sources relating to the historical operational deployments of the Australian Defence Force between 1885 and 2012. Implications are also discussed.

scholarly journals Machine Learning and Data Analytics based Restaurant Management System for Improving Customer Experience

2021 ◽  
Vol 9 (VI) ◽  
pp. 860-865
Author(s):  
Akhilesh Jaiswal
Keyword(s):  
Machine Learning ◽  
Data Analysis ◽  
Data Analytics ◽  
Predictive Analytics ◽  
Descriptive Analysis ◽  
Restaurant Industry ◽  
Customer Data ◽  
Predictive Learning ◽  
Restaurant Management ◽  
Automated Tool

In restaurant industry many of them do not have automated tool for monitoring the customers. Machine learning helps to predict information from the data and Data analysis will provide data in well visualized manner. This project is divided into 3 parts as descriptive learning, predictive learning and prescriptive learning. The application is prepared using php and Data analysis using Google Data Studio and python. With this product restaurant can find their weakness focus on it and can increase the revenue after filling it up. In the project descriptive analysis focuses on customer data and sales data. Predictive analytics focus on instore analysis and expense tracking by visualizations. Lastly, predictive analytics includes Apriori algorithm for making combos of menu and XGBoost and RandomForest Classifier algorithm. The project also includes NLP analysis on reviews given by the customers.

Analisis Pengaruh Kecerdasan Intelektual Terhadap Kemampuan Akuntansi dengan Kecerdasan Emosional dan Spiritual sebagai Pemoderasi

2018 ◽  
Vol 16 (1) ◽  
pp. 1
Author(s):  
Ria Manurung
Keyword(s):  
Data Analysis ◽  
Graduate Program ◽  
Descriptive Analysis ◽  
Research Result ◽  
Secondary Data ◽  
Spiritual Intelligence ◽  
Primary Data ◽  
Moderating Variables ◽  
Use Of Data ◽  
Independent Variable

Research conducted to obtain empirical evidence how the influence of independent variables of intellectual intelligence to accounting with moderating variables of emotional and spiritual intelligence. The research method used is descriptive quantitative with explanatory descriptive or explanatory research. This method is an explanatory research that proves the existence of causal relationship of independent variable (independent variable) that is intellectual intelligence; moderating variable (emotional and spiritual intelligence); and dependent variable (accounted dependent variable). Research begins by conducting library search, followed by primary data collection conducted by using questionnaires and secondary data through data analysis. And for the use of data analysis consists of descriptive analysis, classical assumption test and verification analysis with the method of Moderated Regression Analysis (MRA). This study is a census study with homogeneous and limited population of 92 students, all students of Accounting Graduate Program at UNSOED. Conclusion of research result that is: (1) Intellectual intelligence have influence either positively or signifikan to accountancy. Thus intellectual intelligence can lead students to more easily understand accounting, (2) Intellectual intelligence can be strengthened by emotional intelligence on accounting both positively and significantly. (3) Spiritual intelligence can strengthen the influence of intellectual intelligence on accounting both positively and significantly.

scholarly journals Analisis Kepuasan Pelanggan dalam Membeli Buah-buahan Segar di Moena Fresh Bali

2018 ◽  
pp. 81
Author(s):  
PUTU OKA WARDIKA ◽  
RATNA KOMALA DEWI ◽  
NI WAYAN PUTU ARTINI
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Customer Satisfaction ◽  
Qualitative Data ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Satisfaction Index ◽  
The Matrix ◽  
Competitive Prices ◽  
Data Analysis Methods

Analysis Customer Satisfaction in Buying Fresh Fruits in Moena Fresh Bali Increased consumption of fruits in the country have an impact on the growth of fruitsales in Indonesia. This increase causes the appearance of stiff competition in thebusiness of fruits. Moena Fresh Bali as one of the companies that sell fresh fruitsmust innovate or improve the shortage so that the consumers do not turn to otherproducts. Consumer behavior may help explain how consumers obtain satisfaction.The purpose of this research is to determine satisfaction of Moena Fresh Baliconsumers and to find out actions to increase customer satisfaction of Moena Fresh.The location of the research was conducted at four Moena Fresh outlets as it wasconsidered to represent consumers in every sub-district in Denpasar City. Thenumber of respondents was as many as 50 respondents and the sampling wasconducted by using accidental sampling. Types of data collected include quantitativeand qualitative data which were sourced from primary and secondary data. Methodsof data collection were by using interview techniques, observation, anddocumentation. Data analysis methods used were descriptive analysis, ImportancePerformance Analysis and Customer Satisfaction Index. Based on the results ofresearch, the calculation of CSI to the attributes of Moena Fresh Bali was 77.6% i.e.it meets the criteria of satisfaction. Based on the Matrix of Importance Performance,product attributes are classified into four quadrants and actions to improve customersatisfaction are through the improvement of attributes that become the main priority,namely the attributes of advertising / promotion, price, and discounts. The studysuggests that Moena Fresh Bali should perform printed and electronic publicationsand set competitive prices to maintain its customers.

scholarly journals PENGARUH KEPUASAN KERJA, KOMITMEN ORGANISASIONAL, MOTIVASI TERHADAP KINERJA MELALUI ORGANIZATIONAL CITIZENSHIP BEHAVIOR (OCB) PADA KARYAWAN SPBU 4452212 BREBES

2017 ◽  
Vol 1 (2) ◽  
Author(s):  
Muklis Ali Sobirin ◽  
Mr. Maufur
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Organizational Citizenship ◽  
Organizational Citizenship Behavior ◽  
Descriptive Analysis ◽  
Significance Test ◽  
Citizenship Behavior ◽  
Literature Study ◽  
Test Hypothesis ◽  
Classical Regression

The purpose of this research to 1 ) analyze the influence of motivation of the performance of officers from Tegal city 2 ) analyze the influence of discipline work on performance officers from Tegal city 3 ) analyze the influence of motivation and discipline work on performance officers from Tegal .Respondents in this research as many as 84 people .These respondents is officers from tegal city .The necessary data collected to technique the questionnaire , literature study , observation and interview .Data analysis used in this research was descriptive analysis , test the assumption classical , regression analysis multiple , the testing of hypotheses and analysis the coefficients determination .The research can be concluded that is the positive and significant motivation to the performance of officers from tegal city . This is evidenced from the test hypothesis in partial obtained value significance of 0,011 which is smaller than 0.05 .The results of research suggests that is the positive and significant discipline work of the performance of the officers from tegal city .This is evidenced from the test hypothesis in partial obtained value significance of 0,000 which is smaller than 0.05 .The results of research suggests that is the positive and significant of the incentives and discipline work together to the performance of officers from tegal city .This is evidenced from the test hypothesis simultaneously obtained value significance ( test anova f ) of 0,000 which is smaller than 0.05 . Keyword: motivation, discipline, performance

scholarly journals THINK-PAIR-SHARE: ENGAGING STUDENTS IN SPEAKING ACTIVITIES IN CLASSROOM

2020 ◽  
Vol 1 (1) ◽  
pp. 13-19
Author(s):  
Dian Apriyanti ◽  
Mutiara Ayu
Keyword(s):  
Data Analysis ◽  
Learning Strategies ◽  
Secondary Students ◽  
Learning Process ◽  
Qualitative Method ◽  
Descriptive Analysis ◽  
Document Analysis ◽  
Process Plan ◽  
Analysis Technique ◽  
Speaking Skill

Think-Pair-Share technique is one of the cooperative learning strategies that promote student involvement in the classroom. This strategy makes students engaged in in-class activities such as discussions and provides opportunities to share their ideas with others. The purpose of this study was to describe the implementation of the Think-Pair-Share strategy in teaching speaking skill for secondary students. A qualitative method with a descriptive analysis was undertaken in this study. The sample was twenty students of eighth grade. The data was collected through interviews, observation, and document analysis. The data analysis technique used was presented in a descriptive form. The results indicated the implementation of the Think-Pair-Share technique during the learning process took place following the stages that have been stated in the learning process plan made by the teacher. Appreciation for the implementation of the Think-Pair-Share technique both from students is quite good. Students stated that they can overcome the constraints in the learning process of speaking activity through Think-Pair-Share.

scholarly journals Bias factors associated with assessing the validity of university teaching: a hierarchical linear model

2006 ◽  
Vol 14 ◽  
pp. 34
Author(s):  
Raciel Acevedo Alvarez ◽  
Nuria Mairena Rodríguez
Keyword(s):  
Data Analysis ◽  
Linear Model ◽  
Hierarchical Linear Model ◽  
University Teaching ◽  
Teacher Competence ◽  
Quantitative Methodology ◽  
Factors Associated ◽  
Class Environment ◽  
The University ◽  
The City

The present study analyzes the variables that are intrinsically linked with the student, professor and class environment in relation to the university educational evaluation questionnaires. The participants in the study were 374 students with an age mean of 19.9 and 29 professors with an age mean of 36 from 3 different departments at the Universidad de Costa Rica (UCR) at the city of Guanacaste. The hierarchical lineal models were used for the data analysis, a quantitative methodology which facilitates the evaluation of the determinants which affect the results of the study. However, only four of these determinants were associated with the evaluation concerned, class size, enrolment year, department type and forecasted achievement levels. The results obtained from the study demonstrate that these kinds of evaluation are valid despite the results being slightly affected by a range of factors from externalities to teacher competence.

scholarly journals ANALISIS EFEKTIVITAS REALISASI ANGGARAN BELANJA MODAL DINAS PERDAGANGAN DAN PERINDUSTRIAN KABUPATEN MUSI BANYUASIN

2019 ◽  
Vol 2 (2) ◽  
pp. 76
Author(s):  
Rano Asoka
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Capital Expenditure ◽  
Descriptive Analysis ◽  
Interview Research ◽  
Positive Growth ◽  
Capital Spending ◽  
Library Studies ◽  
Qualitative Descriptive ◽  
The Government

This research aims to determine the effectiveness of the realization of capital expenditure budget in the Trade and Industry Board of Musi Banyuasin. It has been reached the goal budget target in the government of Musi Banyuasin Regency. The methods of research used are qualitative methods. The data collection techniques used are interview research, documentation, and library studies. Data analysis was conducted using qualitative descriptive analysis methods and the use of capital expenditure budget data and the realization of capital spending in 2016 to 2018. The results showed that The Trade and Industry Board of Musi Banyuasin Regency in realization of the capital expenditure budget in the year 2016 to 2018 can be said to be effective and in positive growth. In 2016 to the year of 2018, The Trade and Industry Board of Musi Banyuasin Regency is still dependent on local government so that the implementation decentralization of capital expenditure budget can be said to be effective.

scholarly journals From the Editor in Chief

2016 ◽  
Vol 6 (2) ◽  
pp. vi-vii
Author(s):  
Ahmet Doğanay
Keyword(s):  
Data Analysis ◽  
Peer Review ◽  
Research University ◽  
Review Process ◽  
Peer Review Process ◽  
Descriptive Analysis ◽  
National Research Council ◽  
Good News ◽  
High Rate ◽  
Educational Sciences

Dear producers and consumers of knowledge,   I would like to share the happiness of being with you again with 6th Volume 2nd Issue of Pegem Journal of Education and Instruction (PEGEGOG). I hope you could find time to have a rest after your busy schedule. Initially, I want to thank you for the increasing interest for our journal. As mentioned before, we had applied to many indexes. Our belief in being accepted to these indexes that we are through evaluation process is increasing day by day. I would like to remind that our journal will have English and Turkish full papers from now on to fulfil the conditions of these indexes.   I will carry out my duty as the chief editor of Journal of PEGEGOG as from 2nd Issue in 2016 of our journal. Moreover, we have invited new editors to provide our journal to reach the larger masses. I would like to introduce the new editors accepted our invitation. Prof. Dr. Ann Marie HILL (Queen's University), Prof. Dr. Cecilia MERCADO (Saint Louis University), Prof. Dr. Piet KOMMERS (University of Twente), Prof. Dr. Rosa BOTTINO (National Research Council), Prof. Dr. Todd Alan PRICE (National Louis University) and Prof. Dr. Vladimir A. FOMICHOV (National Research University). I believe we will reach you in a more quick way with our dear editors.   We shared with you in previous issues and announcements that our journal got high scores by many indexes. I'm pleased to inform you in this issue that the journal's h-index rose to 7. However, our aim is always to have much higher scores. Therefore, we invite you to share studies comprehensive, built on strong theoretical basis, innovative and bringing a vision on various fields of educational sciences increasing the number of readers.   There has been nearly 30 articles sent for publication to our journal. This is good news for our journal and country. On the other hand, I have to indicate that there were critical problems in terms of format within these articles as stated in the previous issue. First of all, unfortunately we had to reject some articles as in many of them there were texts very similar to ones in different articles. At first step, we scan all articles in i-thenticate program to determine the exact quotations from other resources. After this scan, we reject the articles detected to have exact quotations at a high rate without initiating peer-review process. Apart from that, we also send back the articles not written in an academic format not to disturb our reviewers unnecessarily.   One of the problems with the articles submitted to our journal and we had to reject was about data analysis. The data is the raw information collected from related resources through research aims. These should be analyzed in parallel with these aims. It is necessary to analyze them using statistics for quantitative data and methods such as content analysis or descriptive analysis for qualitative data. Analysis provides the data being transformed into findings and make sense. Especially, in some of document analysis and some qualitative studies, it is seen that data are presented as findings. In some others, data are presented being only described. It is essential that the studies are formed in an article format obeying the rules by the journal and presented for publication afterwards.   As always, we present the six articles got through peer-review process and given DOI number to you dear producers and consumers of knowledge. I wish these studies conducted in various fields of educational sciences will be useful and contribute to theoretical knowledge within the field. Hope to meet within the next issue.   Sincerely yours,

scholarly journals From the Editor in Chief

2018 ◽  
Vol 9 (1) ◽  
pp. viii-ix
Author(s):  
Ahmet Doğanay
Keyword(s):  
Data Analysis ◽  
Peer Review ◽  
Qualitative Data ◽  
Review Process ◽  
Peer Review Process ◽  
Descriptive Analysis ◽  
Good News ◽  
High Rate ◽  
Critical Problems ◽  
Busy Schedule

Dear producers and consumers of knowledge, I would like to share the happiness of being with you again with 9th Volume 1th first issue of Pegem Journal of Education and Instruction (PEGEGOG) in 2019. I hope you could find time to have a rest after your busy schedule. Initially, I want to thank you for the increasing interest for our journal. There has been 98 articles sent for publication to our journal. This is good news for our journal. On the other hand, I have to indicate that there were critical problems in terms of format within these articles as stated in the previous issue. First of all, unfortunately we had to reject some articles as in many of them there were texts very similar to ones in different articles. At first step, we scan all articles in i-Thenticate program to determine the exact quotations from other resources. After this scan, we reject the articles detected to have exact quotations at a high rate without initiating peer-review process. Apart from that, we also send back the articles not written in an academic format not to disturb our reviewers unnecessarily. One of the problems with the articles submitted to our journal and we had to reject was about data analysis. The data is the raw information collected from related resources through research aims. These should be analyzed in parallel with these aims. It is necessary to analyze them using statistics for quantitative data and methods such as content analysis or descriptive analysis for qualitative data. Analysis provides the data being transformed into findings and make sense. Especially, in some of document analysis and some qualitative studies, it is seen that data are presented as findings. In some others, data are presented being only described. It is essential that the studies are formed in an article format obeying the rules by the journal and presented for publication afterwards. As always, we present the ten articles got through peer-review process and given DOI number to you dear producers and consumers of knowledge. I wish these studies conducted in various fields of educational sciences will be useful and contribute to theoretical knowledge within the field. Hope to meet within the next issue. Sincerely yours,

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