scholarly journals Analisis Faktor Dalam Meningkatkan Prestasi Belajar Siswa Kelas X IPS SMA Negeri 1 Adonara Timur, Provinsi

2018 ◽  
Vol 11 (2) ◽  
pp. 29-36
Author(s):  
Maria Prisca
Keyword(s):  
Factor Analysis ◽  
Curriculum Change ◽  
Principal Component ◽  
Primary Data ◽  
Quality Of Education ◽  
Analysis Method ◽  
Simple Description ◽  
Improving Student Achievement ◽  
Internal And External Factors

Education is very important in achieving the ideals of the nation to improve the quality of human resources as well. Curriculum change in 2013 is one of the government's efforts in improving the quality of education in Indonesia. To improve students' learning achievement, internal and external factors are needed to encourage students to keep their spirit in learning. In this study, the researcher took a case about factor analysis in improving the achievement of the students of class X IPS of SMA Negeri 1 Adonara Timur. Achievement of study in SMA Negeri 1 Adonara East class X particularly good, although there are achievement of learning in class X IPS is often low. This study aims to determine what factors are formed in improving student achievement class X IPS in SMA Negeri 1 Adonara Timur. The data used in this study is the primary data obtained through the distribution of questionnaires, with a sample of 47 students. The analysis method used in this research is factor analysis. Factor analysis is one of the statistical techniques that can be used to provide a relatively simple description through the reduction of the number of variables called factors. Since the purpose of factor. Pendidikan merupakan hal yang sangat penting dalam mencapai cita-cita bangsa sehingga  meningkatkan Sumber Daya Manusia yang berkualitas. Perubahan Kurikulum pada tahun 2013 merupakan upaya pemerintah dalam meningkatkatkan kualitas pendidikan di Indonesia yang diketahui berdasarkan prestasi belajar siswa. Untuk meningkatkan prestasi belajar siswa, diperlukan faktor intern dan faktor ekstern yang mendorong siswa untuk tetap semangat dalam belajar. Prestasi belajar di SMA Negeri 1 Adonara Timur khususnya kelas X tergolong baik, Namun, prestasi belajar pada kelas X IPS seringkali rendah. Penelitian ini bertujuan untuk mengetahui faktor-faktor apa saja yang terbentuk dalam meningkatkan prestasi belajar siswa kelas X IPS di SMA Negeri 1 Adonara Timur. Data yang digunakan dalam penelitian ini adalah data primer yang diperoleh melalui penyebaran kuesioner, dengan sampel sebanyak 47 siswa. Metode analisis yag digunakan dalam penelitian ini adalah analisis faktor. Tujuan dari analisis faktor pada penelitian ini adalah untuk mereduksi data maka metode analisis faktor yang digunakan adalah Principal Component Analysis   (PCA). Hasil dari penelitian ini diperoleh 5 faktor yang diduga dapat meningkatkan prestasi belajar siswa kelas X IPS di SMA Negeri 1 Adonara Timur. Faktor-faktor tersebut adalah Lingkungan Sekolah, Peranan Orang Tua, Peranan Guru, Disilpin Belajar, dan Motivasi Belajar.

scholarly journals Validating Scales for Tourism Impacts, Quality of Life, and Support Tourism: An Exploratory Factor Approach

2019 ◽  
Vol 10 (5) ◽  
pp. 62-71
Author(s):  
I. Oladeji Kolawole
Keyword(s):  
Quality Of Life ◽  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Convergent Validity ◽  
Measurement Instrument ◽  
Principal Component ◽  
Measurement Scale ◽  
Primary Data ◽  
Tourism Impacts

Abstract The purpose of this paper is to validate measurement instrument that can be used to determine tourism impacts, people’s quality of life, and support for tourism. The primary data for this study were collected from 394 households in Maun, Botswana. Exploratory factor analysis was performed to measure internal consistency, construct and content validity to explicate the robustness of the factor structures, using principal component analysis (PCA) as an extraction method. Exploratory factor analysis is an applied statistical technique used by researchers to determine relationships within a group of observed variables. The reliability coefficients for the factors were all strong, which shows that the measures were reliable for measuring the latent constructs including economic, socio-cultural, and environmental impacts, people’s quality of life, and support for tourism development. The results of the factor analysis validate the measurement scale and authenticate the psychometric properties of the tourism impacts, quality of life, and support for tourism scale items. The main contribution of this paper is the development and understanding of psychometrically reliable scale items with content and convergent validity that can be used in tourism studies.

scholarly journals Driving Factors of Consumer to Purchase Furniture Online on IKEA Indonesia Website

2018 ◽  
Vol 2 (1) ◽  
pp. 19
Author(s):  
Trisha Gilang Saraswati
Keyword(s):  
Principal Component Analysis ◽  
Factor Analysis ◽  
Perceived Risk ◽  
Online Shopping ◽  
Principal Component ◽  
Influential Factors ◽  
Driving Factors ◽  
Analysis Method ◽  
Long Time

The tendency of consumers in shopping for furniture is very different from shopping for other goods or services, because furniture is expected to be stored and used in a long time. Considering that, consumers tend to want to shop directly to offline stores in order to see, feel and check quality directly because of many aspects that are assessed such as the quality of materials, models, colors and more. Behind the trend to shop furniture offline, IKEA continues to innovate to improve the performance of its website so that consumers can shop online. Therefore, this study intends to analyze what factors are driving consumers in shopping for furniture online especially on the website of IKEA Indonesia. From two grounded theory employed on this research, there are 14 factors that can influence consumers to buy online. This data analysis uses Principal Component Analysis (PCA), a factor analysis method that extracts factors by using total variance in the analysis. From data calculation, it is known that there are 8 driving factors of consumer to purchase furniture online on IKEA Indonesia’s website: Enjoyment, Perceived Risk, Efficiency, Service & Merchandise Quality, Ease of Navigation, Price Attractiveness, Flexibility and Reliability. By knowing what factors can affect consumers in doing online shopping for furniture, companies in this case IKEA Indonesia can optimize the use of its website in accordance with influential factors.

scholarly journals Analisis Diskriminan Terhadap Pengelompokan Mutu Pendidikan Sekolah Menengah Atas di Kabupaten Lamongan

2020 ◽  
Vol 6 (2) ◽  
pp. 11-20
Author(s):  
Mu’tasim Billah ◽  
Novita Eka Chandra ◽  
Siti Amiroch
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Discriminant Analysis ◽  
Principal Component ◽  
Original Data ◽  
Quality Of Education ◽  
Linkage Method ◽  
And Cluster Analysis ◽  
Index Value

Quality of education is the educational services ability that can fill the needs or expectations, satisfaction internally and externally which includes educational inputs, processes and outputs. The purpose of this reserach is to classify the quality of high school education in Lamongan District using factor, cluster and discriminant analysis. The dominant factors of 12 education quality variables can be known from the results of factor analysis using the PCA (Principal Component Analysis) method. The grouping of 48 high schools did by cluster analysis using 5 hierarchical methods. The validity index used to determine the optimal group number of the five hierarchical methods is RMSSTD (Root Mean Square Standard Deviation). The classification accuracy testing uses discriminant analysis based on the results of factor analysis and cluster analysis. Grouping the quality of education is influenced by dominant factors such as the number of classrooms, the value of accreditation, the number of certification and non-certification teachers, the number of education staff, the ratio of students to teachers, the number of laboratory rooms that can be known from the results of factor analysis. In cluster analysis, using the Mahalanobis distance because there is multicollinearity and the smallest RMSSTD index value obtained in the Complete Linkage method with 5 clusters. So, with discriminant analysis, it can be concluded that the grouping based on factor analysis and cluster analysis is 58.3% of the 48 processed data that has been entered in the group that matches the original data.

The Effects of Exercise Commitment Facilitated by Service Quality of Smartphone Exercise Applications on Continued Exercise Intention

2019 ◽  
Vol 118 (1) ◽  
pp. 14-19
Author(s):  
Boo-Gil Seok ◽  
Hyun-Suk Park
Keyword(s):  
College Students ◽  
Factor Analysis ◽  
Regression Analysis ◽  
Statistical Analysis ◽  
Correlation Analysis ◽  
Service Quality ◽  
Frequency Analysis ◽  
Primary Data ◽  
Exercise Intention

Background/Objectives: The purpose of this study is to examine the effects of exercise commitment facilitated by service quality of smartphone exercise Apps on continued exercise intention and provide primary data for developing and/or improving smartphone exercise Apps. Methods/Statistical analysis: A questionnaire survey was conducted amongst college students who have experiences in using exercise App(s) and regularly exercise. The questionnaire is composed of four parts asking about service quality, exercise commitment, continued exercise intention, which were measured with a 5-point Likert Scale, and demographics. Frequency analysis, factor analysis, correlation analysis, and regression analysis were carried out to analyze the obtained data with PASW 18.0.

Factors that impact Quality during the Transportation of Tomatoes

2021 ◽  
pp. 516-532
Author(s):  
Saurav Negi ◽  
Neeraj Anand ◽  
Shantanu Trivedi
Keyword(s):  
Decision Making ◽  
Factor Analysis ◽  
Supply Chain ◽  
State Government ◽  
Food Processing ◽  
Himachal Pradesh ◽  
North India ◽  
Current Status ◽  
Primary Data

This paper examines the factors that impact the quality of tomatoes during the transportation through the supply chain. This is motivated by the criticality transportation in north India region. Primary data was collected through a survey using a questionnaire with responses from 140 transporters from the Himachal Pradesh and Uttarakhand states of India. The data were analyzed using factor analysis to identify the factors that are impacting the quality of tomatoes during the transportation stage. Based on the analysis, three factors were identified that impact quality: Operational, Preservation and Infrastructure. The identification of these factors will benefit the stakeholders involved in the process of decision-making, like the state government, food processing units, transporters, and the farmers. This will help us to understand the current status of transportation and related issues and challenges which enable them to make better planning and management to improve efficiency in the transportation stage of the supply chain.

Factors that impact Quality during the Transportation of Tomatoes

2017 ◽  
Vol 7 (1) ◽  
pp. 49-63 ◽  
Author(s):  
Saurav Negi ◽  
Neeraj Anand ◽  
Shantanu Trivedi
Keyword(s):  
Decision Making ◽  
Factor Analysis ◽  
Supply Chain ◽  
State Government ◽  
Food Processing ◽  
Himachal Pradesh ◽  
North India ◽  
Current Status ◽  
Primary Data

This paper examines the factors that impact the quality of tomatoes during the transportation through the supply chain. This is motivated by the criticality transportation in north India region. Primary data was collected through a survey using a questionnaire with responses from 140 transporters from the Himachal Pradesh and Uttarakhand states of India. The data were analyzed using factor analysis to identify the factors that are impacting the quality of tomatoes during the transportation stage. Based on the analysis, three factors were identified that impact quality: Operational, Preservation and Infrastructure. The identification of these factors will benefit the stakeholders involved in the process of decision-making, like the state government, food processing units, transporters, and the farmers. This will help us to understand the current status of transportation and related issues and challenges which enable them to make better planning and management to improve efficiency in the transportation stage of the supply chain.

scholarly journals Data-driven integration evaluation from the perspective of Adaboost and its application in WeChat public number ranking

2020 ◽  
Vol 309 ◽  
pp. 02017
Author(s):  
Yicheng Gong ◽  
Juan Zhao ◽  
Dongyang Zhang
Keyword(s):  
Factor Analysis ◽  
Adaptive Learning ◽  
Evaluation Model ◽  
Complex Structure ◽  
Principal Component ◽  
Data Driven ◽  
Analysis Method ◽  
Topsis Method ◽  
Evaluation Models ◽  
Weak Evaluation

The traditional comprehensive evaluation is difficult to model when dealing with large data with large parameters and complex structure, and it cannot adapt to the update of data. In order to improve this situation, this paper draws on the Adaptive Learning Adaboost perspective in statistical learning to develop a data-driven integrated evaluation model that updates the weight of sample weights and weak evaluation models with data. Three specific weak evaluation models were selected: data-driven Topsis method, principal component analysis method and factor analysis method. Taking the ranking of WeChat public account as an example, the results show that the accuracy of the integrated evaluation model is 88.57%, which is 17.14%, 31.43% and 28.57% higher than the data-driven Topsis method, principal component method and factor analysis method.

Impact of ecologic education and values on pupils’ ecologic consciousness

2018 ◽  
Vol 5 (5) ◽  
pp. 49-59
Author(s):  
Rutenis Jancius ◽  
Gintare Vaznoniene ◽  
Algirdas Gavenauskas ◽  
Juozas Pekarskas
Keyword(s):  
Factor Analysis ◽  
Quantitative Research ◽  
Technology Development ◽  
Descriptive Statistics ◽  
Quality Of Education ◽  
Environmental Technology ◽  
12Th Grade ◽  
Environmental Technologies

Ecological challenges encourage thinking about the quality of education, the need to develop a person who is responsible and able to live in harmony with the environment and is distinguished by ecological competences. The purpose of the research is to identify the ecological consciousness of pupils and values of pupils, which are developed based on the ‘Concept of the development of ecology and environmental technologies’. For the purpose of the research, a case study was applied, a quantitative research was carried out—the first school in Lithuania was analysed, where the concept of ecology and environmental technology development has been implemented since 2015. The research involved 11thand 12th grade pupils (N = 80). The results of the research were analysed using descriptive statistics, factor analysis, correlation analysis and comparison method.Keywords: Ecologic education, pupils, values, ecologic consciousness

Evaluation of Sweet Sauce Characteristic Taste Based on Electronic Tongue Technology

2012 ◽  
Vol 554-556 ◽  
pp. 1593-1601
Author(s):  
Ming Quan Huang ◽  
Lu Wang ◽  
Bao Guo Sun ◽  
Hong Yu Tian
Keyword(s):  
Principal Component Analysis ◽  
Factor Analysis ◽  
Reducing Sugars ◽  
Electronic Tongue ◽  
Amino Nitrogen ◽  
Physicochemical Characterization ◽  
Principal Component ◽  
On Line

A commercial electronic tongue (ET) with specific sensors was applied on taste distinction and physicochemical characterization of seven kinds of sweet sauces. The response signals of ET sensors were analyzed by Principal Component Analysis (PCA) and Discriminant Factor Analysis (DFA). Meanwhile, these signals were transformed into the four relative taste scores (sourness, saltiness, umami and sweetness) by macro operation, followed by comparing with the corresponding four physiochemical indexes (total acids, sodium chloride, amino nitrogen and reducing sugars) which were determined by the methods in GB/T. The results show that ET can be used to distinguish different kinds of sweet sauces according to overall taste. Moreover, the intensity order of taste scores that obtained from ET is basically matched with the sequence of the corresponding physicochemical indexes, which proves that ET technique can be an effective approach to monitor and guarantee the quality of sweet sauce on line.

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