CogMap Analyst – a quantitative analysis of the structure and content characteristics of sketch drawings of cognitive maps of urbanized spaces

2016 ◽  
Vol 14 (4) ◽  
pp. 9-34
Author(s):  
Dominika Stryjewsja ◽  
Krzysztof Kwoka ◽  
Paulina Szymanowska ◽  
Bożena Janda-Dębek
Keyword(s):  
Data Analysis ◽  
Quantitative Analysis ◽  
Theoretical Basis ◽  
Numerical Data ◽  
Cognitive Maps ◽  
Personal Traits ◽  
Analytic Tool ◽  
Mode Of Operation ◽  
Content Characteristics

Abstract The paper presents the specification of the CogMap Analyst program, which has been created for the purpose of conducting an analysis of the structure and content of sketch drawings of cognitive maps of urbanized spaces. Assumptions for this analytic tool come from the neobehavioral understanding of the concept of cognitive maps, which has its source in the works of Tolman, and from the criteria of analyzing their contents and structure, which were developed by Lynch (1960). The program serves the purpose of collecting numerical data on the quantity, size, as well as placement and distortion of objects on drawings by participants in relation to the actual layout of the terrain, which was selected by the researcher, and to the sketch’s scale. This data may be used not only to determine the measurements on drawings, but also to determine possible connections with other variables, such as personal traits of participants and formal traits of the space, according to the research goals of particular scientific studies for which the CogMap Analyst program shall be used. In this article we present the theoretical basis for the tool that we have created, we compare its characteristics with other similar methods of quantitative analysis of sketch drawings of cognitive maps, and we present in detail the mode of operation and of data analysis employed by CogMap Analyst.

scholarly journals CONTRIBUTION ANALYSIS OF INDIRECT RESERVATION SOURCES TO THE ROOM OCCUPANCY AT FOUR POINTS BY SHERATON BALI, KUTA

2019 ◽  
Vol 2 (2) ◽  
pp. 93
Author(s):  
Wayan Aries Dana Surya ◽  
Ni Nyoman Sri Astuti ◽  
I Gusti Agung Bagus Mataram
Keyword(s):  
Data Analysis ◽  
Quantitative Analysis ◽  
Qualitative Analysis ◽  
Strong Influence ◽  
Numerical Data ◽  
Travel Agent ◽  
Analysis Technique ◽  
Qualitative Descriptive ◽  
Quantitative Descriptive ◽  
Online Travel

This research was conducted to analyze the contribution of indirect reservation sources at Four Points by Sheraton Bali, Kuta. The purpose of this research are to find out the source of reservation, how the indirect reservation sources influence room occupancy, and how the contribution of indirect reservation sources (wholesaler and online travel agent) is at Four Points by Sheraton Bali, Kuta. The data of this research are the reservation contribution and room occupancy for 36 months within period of 2016-2018. The data analysis technique of this research is quantitative analysis to find the effect of indirect reservation sources on room occupancy, also qualitative analysis in the form of quantitative descriptive to interpret numerical data and qualitative descriptive to interpret word information data. This study resulting that the sources of indirect reservation are wholesaler and online travel agent. The results shows that wholesaler has a moderate influence (0,467) and online travel agent has a strong influence (0,685) towards room occupancy partially, however they have a very strong influence (0,849) simultaneously. This study also resulting that indirect reservations (wholesalers and online travel agent) are the major contributors toward room occupancy at Four Points by Sheraton Bali, Kuta with an average of 3,035 nights in 2016, 2,668 nights in 2017, and 3,015 nights in 2018.

MEMIKAT HATI WAJIB PAJAK SEHINGGA MEMILIKI WILLINGNESS TO COMPLY MELALUI PENYULUHAN PAJAK BERDASARKAN FOGG BEHAVIORAL MODEL

INFO ARTHA ◽  
2017 ◽  
Vol 2 ◽  
pp. 56-79
Author(s):  
NFN Khusnaini ◽  
Agung Widi Hatmoko
Keyword(s):  
Data Analysis ◽  
Quantitative Analysis ◽  
Statistical Data ◽  
Tax Compliance ◽  
Behavioral Model ◽  
Control Group ◽  
Qualitative And Quantitative Analysis ◽  
Qualitative And Quantitative ◽  
Quasi Experimental ◽  
Experimental Process

Attitudes towards tax compliance (willingness to comply) Indonesian society is still low. Required an innovative tax dissemination to increase it. The purpose of this study was to determine whether the tax dissemination based on Fogg Behavioral Model (FBM) approach may increase wiliingness to comply. The FBM based tax dissemination asserts that for a person to perform a target behavior, which is a willingness to comply, he or she must be sufficiently motivated, have the ability to perform the behavior, and be trigerred, to perform the behavior. This research is a combination of qualitative and quantitative analysis of statistical data results of the questionnaire, interviews, and observations of the respondent and the experimental process of dissemination. The method used in this study is a quasi experimental with patterns of nonequivalent control group (pretest-post which is not equivalent). Based on the results of data analysis, interviews and observations of the respondent and the experiment, this research showed that theFBMbasedtaxdissemination hasapositiveimpactto willingnesstocomplyofthetaxpayers. 

Machine Learning Based Predictive Action on Categorical Non-Sequential Data

2020 ◽  
Vol 13 (5) ◽  
pp. 1020-1030
Author(s):  
Pradeep S. ◽  
Jagadish S. Kallimani
Keyword(s):  
Machine Learning ◽  
Data Analysis ◽  
Categorical Data ◽  
Numerical Data ◽  
Processing Technique ◽  
Machine Learning Algorithms ◽  
Sequential Data ◽  
Industry Standard ◽  
Robust Model ◽  
Future Work

Background: With the advent of data analysis and machine learning, there is a growing impetus of analyzing and generating models on historic data. The data comes in numerous forms and shapes with an abundance of challenges. The most sorted form of data for analysis is the numerical data. With the plethora of algorithms and tools it is quite manageable to deal with such data. Another form of data is of categorical nature, which is subdivided into, ordinal (order wise) and nominal (number wise). This data can be broadly classified as Sequential and Non-Sequential. Sequential data analysis is easier to preprocess using algorithms. Objective: The challenge of applying machine learning algorithms on categorical data of nonsequential nature is dealt in this paper. Methods: Upon implementing several data analysis algorithms on such data, we end up getting a biased result, which makes it impossible to generate a reliable predictive model. In this paper, we will address this problem by walking through a handful of techniques which during our research helped us in dealing with a large categorical data of non-sequential nature. In subsequent sections, we will discuss the possible implementable solutions and shortfalls of these techniques. Results: The methods are applied to sample datasets available in public domain and the results with respect to accuracy of classification are satisfactory. Conclusion: The best pre-processing technique we observed in our research is one hot encoding, which facilitates breaking down the categorical features into binary and feeding it into an Algorithm to predict the outcome. The example that we took is not abstract but it is a real – time production services dataset, which had many complex variations of categorical features. Our Future work includes creating a robust model on such data and deploying it into industry standard applications.

Basic Principles and New Methods on Emotional Product Design

2012 ◽  
Vol 452-453 ◽  
pp. 437-440
Author(s):  
Min Huang ◽  
Hong Juan Qiao
Keyword(s):  
Quantitative Analysis ◽  
Product Design ◽  
Theoretical Basis ◽  
Design Methods ◽  
Shape Design ◽  
Emotional Design ◽  
Kansei Engineering ◽  
Basic Principles ◽  
New Methods ◽  
Product Technology

Emotional design is one of the most important methods in modern product design. It was highlighted after Donald A. Norman published his book Emotional design: why we love (or hate) everyday things. Emotional design addresses people’s needs and hopes which is in the center of the development of product design and product technology. Due to the lack of strong theoretical basis and quantitative analysis, many products can’t reach the goal of their designers with Emotional feelings, nor can consumer’s emotional understandings be similar to the designers’ emotional expectations. This paper analyzes the concept of emotional design and some difficulties which designers must to be faced in their emotional designing works, discusses on product shape design according to emotional design. On this basis, the Kansei engineering and emotional design methods are described in details.

scholarly journals Pelayanan Publik Melalui Sistem E-Filling di Kantor Pelayanan Pajak Pratama Cilegon

2020 ◽  
Vol 1 (1) ◽  
pp. 35-42
Author(s):  
Nurfatma Asriyanti ◽  
Arif Nugroho ◽  
Racmi Yulianti
Keyword(s):  
Data Analysis ◽  
Human Resources ◽  
Public Service ◽  
Theoretical Basis ◽  
Secondary Data ◽  
Qualitative Approach ◽  
Data Sources ◽  
The Public ◽  
Inhibiting Factors ◽  
Filling System

This study aims to determine Public Services through the E-filling System at the Cilegon Primary Tax Service Office and to determine the supporting and inhibiting factors. The research used is a descriptive qualitative approach. The data sources used are primary and secondary data. To deepen the data analysis interviews, observation, and documentation were carried out. The theoretical basis used is public service. The results showed that the public service through the e-filling system was running well-reviewed with the theory of public service. But there are several supporting and inhibiting factors found. Supporting factors 1) employee upgrading, 2) socialization. The inhibiting factors are 1) lack of human resources, 2) e-filling applications are down or error

Quantitative Concession Behavior Analysis and Prediction for Decision Support in Electronic Negotiations

2014 ◽  
Vol 6 (4) ◽  
pp. 16-30 ◽  
Author(s):  
Réal A. Carbonneau ◽  
Rustam Vahidov ◽  
Gregory E. Kersten
Keyword(s):  
Decision Support ◽  
Quantitative Analysis ◽  
Empirical Evidence ◽  
Real World ◽  
Empirical Data ◽  
Theoretical Basis ◽  
Automated Negotiation ◽  
Electronic Negotiations ◽  
Memory Decay ◽  
Negotiation Agents

Quantitative analysis of negotiation concession behavior is performed based on empirical data with the purpose of providing simple and intuitive decision support in electronic negotiations. Previous work on non-linear concave preferences and subsequent concession crossover provides a theoretical basis for the model. The authors propose a model which quantifies the remaining concession potential for each issue and a generalization of the model which permits the memory/decay of past concessions. These models permit the analysis of negotiators' concession behavior. Using the proposed models, it was possible to quantitatively determine that negotiators in the authors' negotiation case exhibit concession crossover issues and thus have a tendency to give concessions on issues with the most remaining concession potential. This finding provides empirical evidence of concession crossover in actual concessions and the corresponding model permits the design of a simple and intuitive prediction methodology, which could be used in real world negotiations by decision support systems or automated negotiation agents.

scholarly journals Peran Persepsi Politik Organisasi, Komitmen Afektif, Kepuasan Kerja dan Stres Kerja terhadap Keinginan untuk Keluar dengan Persepsi Dukungan Organisasi sebagai Moderator

2018 ◽  
Vol 27 (1) ◽  
pp. 32 ◽  
Author(s):  
Tri Hermawan ◽  
Fuad Mas'ud ◽  
Mirwan Surya Perdhana
Keyword(s):  
Data Analysis ◽  
Quantitative Analysis ◽  
Qualitative Analysis ◽  
Work Stress ◽  
Organizational Support ◽  
Affective Commitment ◽  
Analysis Data ◽  
Drop Out ◽  
Dropping Out ◽  
Political Perception

This study aims at analyzing influences of political perception of organization, affective commitment, work satisfaction and work stress towards employee’s eagerness to drop out with a variable of moderation perception of endorsement of organization. This study was conducted at PT PQRS. Analysis method used in this study was mixed method with the explanatory sequential design.The number of the sample was 157 respondents for closed questionnaire and 3 participants for opened questionnaire. The questionnaire measurement was closed with scale 1-7. In quantitative analysis data analysis used was multipel regression analysis with moderating variable and  a help of SPSS 23 program. In qualitative analysis data analysis used was deskiptive analysis.In quantitative analysis of examination findings toward hypothesis, it is indicated that variable of political perception of organization positively affects an eagerness of dropping out, affective commitment affects an eagerness of dropping out negatively, work stress positively affects an eagerness of dropping out and perception of endorsement of organization can moderate correlation between affective commitment and work stress towards an eagerness to drop out yet not between  perception of endorsement of organization and work satisfaction towards employee’s eagerness to drop out.In qualitative analysis gives results that support the results of hypothesis testing where employees reveal the existence of political behavior and work stress is high enough accompanied by the level of affective commitment and job satisfaction which is low, so that it gives the impact on the high desire to get out of work. Other results indicate that organizational support can be perceived by employees so that moderation testing that is conducted get support that the desire to get out of work tends to decrease when they perceive organizational support at low levels of affective commitment and the employees’ desire to get out of work tends to decrease when they perceive organizational support at the high level of work stress.

scholarly journals Iterative Thematic Inquiry: A New Method for Analyzing Qualitative Data

2020 ◽  
Vol 19 ◽  
pp. 160940692095511
Author(s):  
David L. Morgan ◽  
Andreea Nica
Keyword(s):  
Qualitative Research ◽  
Content Analysis ◽  
Data Analysis ◽  
Thematic Analysis ◽  
Theoretical Basis ◽  
Qualitative Data ◽  
Qualitative Content Analysis ◽  
New Method ◽  
Data Collection And Analysis ◽  
Primary Procedure

Because themes play such a central role in the presentation of qualitative research results, we propose a new method, Iterative Thematic Inquiry (ITI), that is guided by the development of themes. We begin by describing how ITI uses pragmatism as a theoretical basis for linking beliefs, in the form of preconceptions, to actions, in the form of data collection and analysis. Next, we present the four basic phases that ITI relies on: assessing beliefs; building new beliefs through encounters with data; listing tentative themes; and, evaluating themes through coding. We also review several notable differences between ITI and existing methods for qualitative data analysis, such as thematic analysis, grounded theory, and qualitative content analysis. The use of ITI is then illustrated through its application in a study of exiters from fundamentalist religions. Overall, the two most notable features of ITI are that it begins the development of themes as early as possible, through an assessment of initial preconceptions, and that it relies on writing rather than coding, by using a continual revision of tentative results as the primary procedure for generating a final set of themes.

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