scholarly journals Perspektif terhadap Kawasan Bersejarah: Kategori Pengunjung berdasarkan Korelasi antara Daya Tarik dan Harapan terhadap Kawasan Braga

2019 ◽  
Vol 17 (1) ◽  
pp. 32-42
Author(s):  
Levana Salsabila ◽  
◽  
Hanson Endra Kusuma ◽  
Keyword(s):  
Regional Growth ◽  
Principal Component ◽  
Historical Buildings ◽  
Online Questionnaire ◽  
Conservation Area ◽  
Tourist Destinations ◽  
Multivariate Correlation ◽  
New Buildings ◽  
Important Basis ◽  
Multivariate Correlation Analysis

The Braga area is one of the cultural heritage tourist destinations in Bandung with the attraction of its colonial architecture. The emergence of new buildings in the region is presented without giving attention to the surrounding colonial buildings. The visitor’s perspective on the Braga area is an important basis in regional growth and development. This study aims to find the perspective of visitors based on the correlation between their attraction and expectations of the Braga region. The method used in this study was mixed methods (qualitative-quantitative), and data collection was carried out using a survey through a freely distributed online questionnaire (snowball non-random sampling). The collected data is then analyzed qualitatively using content analysis and quantitatively using principal component analysis, factor analysis, and multivariate correlation analysis. The results of the study revealed the existence of two perspectives, namely appreciative and recreational. The appreciative perspective sees Braga as having an attractive heritage of historical buildings and hopes that Braga will become a conservation area. While the recreational perspective regards Braga as an entertainment area that is unique and hopes for the commodification of the Braga area.

scholarly journals TIPE WISATAWAN BERDASARKAN KORELASI MOTIVASI DAN KEGIATAN DI TEMPAT WISATA (STUDI KASUS: INDONESIA)

2019 ◽  
Vol 21 (2) ◽  
pp. 314
Author(s):  
Bakri Prakarso Andi Wiyono ◽  
Hanson E. Kusuma ◽  
Fran Sinatra ◽  
Angela Christysonia Tampubolon
Keyword(s):  
Physical Activity ◽  
Principal Component Analysis ◽  
Mixed Method ◽  
Principal Component ◽  
Online Questionnaire ◽  
Social Exploration ◽  
Multivariate Correlation ◽  
The World ◽  
Convenience Sampling ◽  
Multivariate Correlation Analysis

Tourism has become a major contributing sector in the economies of many countries in the world, especially Indonesia. The attractiveness of Indonesia comes from a variety of potential such as nature, local wisdom, or artificial. Those attractions make tourist can be defined as many types based on their motives and activities. This research used mixed method (qualitative-quantitative) with sequential procedure strategy. The purpose of this study is to determine the type of tourists based on the correlation between the motivation of travel with tourism activities. Data collection was done through an online questionnaire and distributed to several groups (nonprobability-convenience sampling). The collected data were then analyzed qualitatively using content analysis and quantitatively using principal component analysis, factor analysis, and multivariate correlation analysis. The results of the analysis revealed that there are six tourism motivations namely contemplation, social-exploration, restorative, culinary, opportunity, and novelty. In addition, there are four tourism activities namely physical activity, cognitive, affective, and adventure. The results of the correlation of motivation and tourism activities then form a pattern that shows three types of tourists such as explorer, pleasure seeker, and adventurer. 

scholarly journals Hubungan Motivasi, Kegiatan dan Karakter Tempat Wisata Pada Pusaka Saujana Imogiri Yogyakarta

2020 ◽  
pp. 470
Author(s):  
Fitria Puspita Rani ◽  
Hanson E. Kusuma ◽  
Angela C. Tampubolon
Keyword(s):  
Quantitative Research ◽  
Cultural Landscape ◽  
Principal Component ◽  
Online Questionnaire ◽  
Quantitative Research Methods ◽  
Multivariate Correlation ◽  
The Social ◽  
Convenience Sampling ◽  
Social Recreation ◽  
Active Recreation

Imogiri is a cultural landscape located in Yogyakarta province that possesses both natural and cultural potency. This study aims the motivation of tourist to visit Imogiri, the activities carried out, the characteristics of places visited, and the correlation of those three factors. The study applies quantitative research methods that are exploratory and explanatory. Data collection was done through an online questionnaire and distributed to several groups (nonprobability-convenience sampling). The collected data were then analyzed quantitatively using principal component analysis, factor analysis, and multivariate correlation analysis. The analysis result found that tourist motivation to visit Imogiri consists of four categories: novelty, restoration, social and actualization. Activities carried out in Imogiri are described in six categories: active recreation, cultural recreation, passive recreation, social recreation, educational recreation, and dating. Correlation between the three variables leads to two travel categories, they are nature recreation tourism and culture recreation tourism. In nature recreation tourism, people are motivated to look for novelty and tend to do recreational activities in natural environment. While the second type, culture recreation tourism, tourist travel by the social motivation and choose to do cultural activities in places with cultural characteristic. Keywords: Tourism, Cultural landscape, Imogiri, Motivation, Activity, Place characteristic

scholarly journals On the Move: Principal Components of the Functions and Experiences of Mobile Music Listening

2021 ◽  
Vol 4 ◽  
pp. 205920432110328
Author(s):  
Mia Kuch ◽  
Clemens Wöllner
Keyword(s):  
Life Experiences ◽  
Principal Component ◽  
Underlying Structure ◽  
Music Listening ◽  
Social Dimensions ◽  
Online Questionnaire ◽  
Mood Management ◽  
Five Dimensions ◽  
Mobile Music ◽  
Deep Listening

Mobile music listening is widely recognized as an integral part of everyday music use. It is also a rather peculiar experience, since the listeners are surrounded by strangers in public and at the same time engaged in a solitary and private activity. The current study aimed at investigating the functions and experiences of mobile listening with a quantitative online questionnaire, and collected further information about mobile listening situations and listening habits. Among respondents ( n = 203), 89% reported listening to music while being on the move. We found mood-related and cognitive functions to be most prevalent (e.g., enhancing mood, relaxation, prevention of being bored), whereas least important functions relate to social dimensions (e.g., feeling less lonely, feeling less watched). Regarding experiences of mobile music, respondents most commonly adapted their mood to the music and lost touch with the current surroundings. A principal component analysis on ratings of functions and experiences resulted in an underlying structure of five dimensions, representing different levels of involvement: (1) Mood Management comprises functions to satisfy individual needs; (2) Absorption and Aestheticization encompasses deep listening experiences and altered perception of the surroundings; (3) Social Encapsulation and Self-Focus describe the distancing of oneself and changes in attention; (4) Distraction and Passing Time include the prevention of being bored and making time pass faster; and (5) Auditory Background is defined by a non-attentive and rather unaffected music listening. These results highlight the immersiveness of mobile music listening. By creating an individual soundworld, listeners distance themselves from the surroundings aurally and mentally, and modify their attention, perception, moods, and emotions, leading to an improvement of daily life experiences while moving.

scholarly journals Differences in the metabolite profiles of tender leaves of wheat, barley, rye and Triticale based on LC-MS

2020 ◽  
Author(s):  
Piyi Xing ◽  
Zhenqiao Song ◽  
Xingfeng Li
Keyword(s):  
Mass Spectrometry ◽  
Liquid Chromatography ◽  
Principal Component ◽  
Liquid Chromatography Mass Spectrometry ◽  
Metabolomics Data ◽  
Chromatography Mass Spectrometry ◽  
Metabolite Profiles ◽  
Positive Mode ◽  
Sugar Derivatives ◽  
Important Basis

AbstractWheatgrass has emerged as a functional food source in recent years, but the detailed metabolomics basis for its health benefits remains poorly understood. In this study, liquid chromatography-mass spectrometry (LC-MS) analysis were used to study the metabolic profiling of seedlings from wheat, barley, rye and triticale, which revealed 1800 features in positive mode and 4303 features in negative mode. Principal component analysis (PCA) showed clear differences between species, and 164 differentially expressed metabolites (DEMs) were detected, including amino acids, organic acids, lipids, fatty acids, nucleic acids, flavonoids, amines, polyamines, vitamins, sugar derivatives and others. Unique metabolites in each species were identified. This study provides a glimpse into the metabolomics profiles of wheat and its wild relatives, which may form an important basis for nutrition, health and other parameters.Practical ApplicationThis manuscript present liquid chromatography-mass spectrometry (LC-MS) results of young sprouts of common wheat and its relatives. Our results may help to better understand the natural variation due to the genotype before metabolomics data are considered for application to wheatgrass and can provide a basis (assessment) for its potential pharmaceutical and nutritional value.

scholarly journals Multivariate Correlation Analysis of the Electroconductive Textiles Obtained Using Functionalization by Radio-Frequency Oxygen Plasma Treatments

Materials ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 5609
Author(s):  
Raluca Maria Aileni ◽  
Laura Chiriac ◽  
Doina Toma ◽  
Irina Sandulache
Keyword(s):  
Thin Film ◽  
Correlation Analysis ◽  
Thin Film Deposition ◽  
Film Deposition ◽  
Rf Plasma ◽  
Multivariate Correlation ◽  
Hydrophilic Character ◽  
Fabric Surface ◽  
O2 Plasma ◽  
Multivariate Correlation Analysis

This paper presents a study concerning the preliminary treatments in radiofrequency (RF)oxygen (O2) plasma used to obtain a hydrophilic effect on raw cotton fabrics followed by electroconductive thin film deposition to obtain electroconductive textile surfaces. In addition, this study presents a multivariate correlation analysis of experimental parameters. The treatment using RF plasma O2 aimed to increase the hydrophilic character of the raw fabric and adherence of paste-based polymeric on polyvinyl alcohol (PVA) matrix and nickel (Ni), silver (Ag) or copper (Cu) microparticles. The purpose of the research was to develop electroconductive textiles for flexible electrodes, smart materials using a clean technology such as radiofrequency (RF) plasma O2 to obtain a hydrophilic surface with zero wastewater and reduced chemicals and carbon footprint. To achieve the foreseen results, we used advanced functionalization technologies such as RF plasma O2, followed by scraping a thin film of conductive paste-based Ni, Ag or Cu microparticles, and multivariate correlation methods to observe the dependence between parameters involved (dependent and independent variables). Overall, the fabrics treated in plasma with O2 using a kHz or MHz generator and power 100–200 W present an excellent hydrophilic character obtained in 3 min. After RF O2 plasma functionalization, a thin film based on polymeric matrix PVA and Ni microparticles have been deposited on the fabric surface to obtain electroconductive materials.

Regional Structure and Economic Development

2013 ◽  
pp. 153-176
Author(s):  
David S. Bieri
Keyword(s):  
Economic Development ◽  
Regional Differences ◽  
Fixed Effects ◽  
Local Economic Development ◽  
Regional Growth ◽  
Explanatory Power ◽  
Principal Component ◽  
The One ◽  
Classification Of Regions ◽  
Economic Regions

This chapter investigates several aspects of how local economic development and growth are shaped by regional differences in industrial structure on the one hand and interregional linkages on the other hand. The author begins by proposing an alternative regional classification of regions for U.S. Metropolitan Statistical Areas (MSAs) on the basis of clusters that were formed by principal component analysis from economic variables that are relevant for regional growth. These variables include labor productivity growth, measures of local industry mix, human capital, entrepreneurship, and innovation. He then uses these growth-based regional clusters to control the presence of cluster-specific fixed-effects when explaining the spatial characteristics of urban specialization and concentration in the United States. The empirical validity of these new economic regions are evaluated against alternative established classifications such as the BEA Regions, Crone’s (2005) Economic Regions, the Census Regions, and the Federal Reserve Districts. Looking specifically at the empirics of regional growth both in a traditional ß-convergence setting as well as a dynamic panel setting, the author examines the explanatory power of regional differences in economic structure such as industry concentration, employment specialization, and sectoral diversity.

scholarly journals Finnish Students’ Knowledge of Climate Change Mitigation and Its Connection to Hope

2020 ◽  
Vol 12 (6) ◽  
pp. 2181 ◽  
Author(s):  
Ilkka Ratinen ◽  
Satu Uusiautti
Keyword(s):  
Climate Change ◽  
Secondary Students ◽  
Climate Change Mitigation ◽  
Meaning Making ◽  
Correlation Coefficients ◽  
Principal Component ◽  
Mitigation Measures ◽  
Hierarchical Regression ◽  
Online Questionnaire ◽  
Change Mitigation

Climate change is a global concern, and the need to address it is urgent. Therefore, climate change education has been developed in recent years. Meaning making, coping strategies, and solution-oriented climate education tasks enable and maintain hope for positive results with regard to climate change. However, there is still uncertainty as to how students’ knowledge of climate change mitigation measures affects their attitudes. In the present study, elementary and secondary students in Finland (n = 950) responded to an online questionnaire. A principal component analysis, a hierarchical regression analysis, a correlation coefficients, a t-test, and a Kruskal-Wallis analysis of variance were used for the analysis to understand what kind of hope students had towards climate change and how their knowledge and optimism regarding climate change affected their hope. The data revealed that the students had a relatively high constructive hope rather than denial hope when it comes to climate change. Additionally, this hope was not built on a minimisation of climate change. The results indicated that the significant predictors for climate change mitigation were gender, climate change knowledge, and constructive hope. A typology of student positions with regard to climate change is introduced as conclusions.

scholarly journals Use of Personal Listening Devices and Knowledge/Attitude for Greater Hearing Conservation in College Students: Data Analysis and Regression Model Based on 1009 Respondents

2020 ◽  
Vol 17 (8) ◽  
pp. 2934
Author(s):  
Sunghwa You ◽  
Chanbeom Kwak ◽  
Woojae Han
Keyword(s):  
College Students ◽  
Hearing Loss ◽  
Regression Model ◽  
Positive Attitude ◽  
Principal Component ◽  
Detailed Knowledge ◽  
Online Questionnaire ◽  
Questionnaire Response ◽  
Hearing Conservation ◽  
Survey Tool

Given the concern regarding increased hearing loss in young people who use personal listening devices (PLDs), the present study analyzes the experience of PLDs among college students to identify their knowledge of and attitude toward hearing conservation. It also explains their relationship between knowledge of hearing loss and attitude-related hearing conservation as a questionnaire response using a regression model. A total of 1009 Korean college students responded to an online questionnaire. As a survey tool, the Personal Listening Device and Hearing Questionnaire was adapted as a Korean version with 78 modified items under 9 categories. Using principal component analysis, specific factors were extracted, and their relationships and paths were confirmed using multiple regression analysis. The results of the knowledge category of the questionnaire indicate that most respondents knew how to maintain healthy hearing and understood the signs of hearing loss. Regardless, many college students habitually use PLDs at high levels in noisy environments; they do not recognize how to prevent hearing loss. Even though they continue their current use pattern for PLDs, they also had a positive attitude toward receiving more information about hearing conservation. According to the regression model, the students’ self-reported hearing deficits were due to the volume rather than the frequent use. Interestingly, knowledge about hearing loss may encourage students to develop a positive attitude toward reasonable restriction of PLD use. When PLD users have detailed knowledge about the hearing loss provided by professionals, we believe that most will avoid serious hearing problems and its risks and maintain a judicious attitude toward their own conservation.

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