scholarly journals ANALISIS DAMPAK PENJUALAN KREDIT TERHADAP PERKEMBANGAN USAHA MIKRO DI KOTA SERANG

2019 ◽  
Vol 2 (2) ◽  
pp. 93-107
Author(s):  
Iba Gunawan ◽  
Aditya Purnama
Keyword(s):  
Data Analysis ◽  
Statistical Analysis ◽  
Study Data ◽  
Business Development ◽  
Turnover Number ◽  
Multivariate Statistical ◽  
The Subject ◽  
Almost All ◽  
Number Of Customers ◽  
Subject Effect

This study aims to determine the effect of sales on business development when viewed from the indicator of sales turnover, number of workers, number of customers on “Pemancingan Serang Hijau”. In this study data was collected by means of observation, documentation and interviews. Almost all daily policies and problems were taken based on statistical methods and the results of data analysis and interpretation both qualitatively and quantitatively.MANOVA is a multivariate statistical analysis that is used in analyzing more than one dependent variable to find out whether the group averages differ significantly but are still rarely used. The purpose of the study is to apply MANOVA to determine business development when viewed from the sales turnover indicator of the number of workers, number of customers.From the results of the 2018 MANOVA test, using the test between the Subject Effect procedure obtained the Sig.0,723 value for sales turnover, while the Workforce obtained Sig.0,000 and for customers the Sig.0,000 value was obtained. This shows that the sales turnover variable does not affect credit sales, while the workforce and customers have a Sig value of less than 0.005, the workforce and customers influence credit sales towards business development in “Pemancingan Serang Hijau”.

scholarly journals Analisis Pesan Visual Bahaya Virus Covid-19 Dalam Film Animasi “ Larva”

2021 ◽  
Vol 3 (3) ◽  
pp. 161-168
Author(s):  
Hasbullah Hasbullah ◽  
Andi Sofyan Anas ◽  
Anak Agung Gde Agung Indrawan ◽  
Tomi Tri Sujaka
Keyword(s):  
Data Analysis ◽  
Study Data ◽  
Observation Data ◽  
Literature Study ◽  
Hand Sanitizer ◽  
Analysis Techniques ◽  
Community Activities ◽  
Visual Message ◽  
The World ◽  
Almost All

The COVID-19 pandemic has paralyzed all activities and economies in almost all land areas of the world. The paralysis of community activities in various places disturbs creative ideas emerging through visual communication media, one of which is the animation of Larva from South Korea. The problem to be raised in this paper is about how the form of visual messages conveyed through Larva animation. The purpose of this article is for the audience to understand the message that is hidden behind the Larva animation. The method used in this paper is qualitative with observation data collection techniques or direct observation of Larva animation videos and literature study. Data analysis techniques, namely, reduction, presentation, and drawing conclusions based on the semiotic theory of Raland Barthes. The results presented in this paper lead to a visual message that displays the shape at the denotative level of the covid-19 virus in red to purple plus the effect of a dirty brown color that attacks larvae that are eating without implementing health protocols so that the Larva cough and spread the virus a group of larvae. which is enjoying food and immediately dies, then attacks the two red and yellow Larva. However, they apply health protocols such as washing hands using hand sanitizer and wearing masks. Connotatively, this visual message illustrates the importance of implementing health protocols during this COVID-19 period.

The different morphotypes in males of the freshwater prawn Macrobrachium tenellum (Smith, 1871) (Decapoda: Caridea: Palaemonidae) in Mexico

2021 ◽  
Vol 41 (3) ◽  
Author(s):  
Manuel A Vargas-Ceballos ◽  
Saúl R Guerrero-Galván ◽  
Jesús T Ponce-Palafox ◽  
Jorge López-Huerta ◽  
Edilmar Cortés-Jacinto ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Initial Density ◽  
Freshwater Prawn ◽  
Small Male ◽  
Multivariate Statistical ◽  
Biometric Data ◽  
Biometric Analysis ◽  
Significant Difference ◽  
The Right ◽  
Almost All

Abstract We analyzed the occurrence of morphotypes in the males of Macrobrachium tenellum (Smith, 1871), a species of potential use in farming, using biometric data and multivariate statistical analysis. Specimens were collected in the Ameca River, Mexico and grown for four months in two rectangular concrete ponds 50 m2 at an initial density of 10 individuals m–2. A biometric analysis was done on all male specimens, identified by the presence of the appendix masculina on the second pair of pleopods. We measured eight dimensions in each of the measured male specimens. Color and spination of the right second cheliped were also determined. We performed a statistical analysis of the data using multivariate analysis, which resulted in the identification of five morphotypes: dark-brown claw (DBrC), brown claw (BrC), cinnamon claw (CC), translucent claw (TC), and small male (SM). The mean of groups of almost all variables showed statistically significant differences except for the ratio Lcl:Lpo. There was no significant difference between groups BrC and DBrC, and spine angles were not significant between groups CC versus TC and BrC. A detailed description of the main macroscopic characteristics that differed between morphotypes is provided, which will allow their identification in future work. Our results will also help in studying social interactions between the male morphotypes.

Prinsip Kebebasan Belajar Imam Al - Ghazali Dalam Sistem Among Prespektif Ki Hajar Dewantara

2021 ◽  
Vol 1 (2) ◽  
pp. 133-140
Author(s):  
Wiwin Fahrudin Yusuf ◽  
Moh Badrun Nafi'uddin
Keyword(s):  
Data Analysis ◽  
Human Life ◽  
Scientific Work ◽  
Educational Process ◽  
Complex Activity ◽  
Library Research ◽  
The World ◽  
The Subject ◽  
Life Education ◽  
Almost All

Education is a very complex activity. Almost all dimensions of human life are seen in the educational process, either directly or indirectly. Under no circumstances can humans resist the effects of implementing education. Education is also a process in which it finds transformation both within oneself and in the community. Therefore, the correct educational process is to free a person from various confines, intimidation and exploitation. This is a portrait of the world of education which is increasingly concerning, even disturbing many people. This situation implies that the dehumanization of school education becomes something that cannot be separated from life, education seems to be the ghost of society. The dehumanization of education, to borrow Paulo Freire's term, is education that oppresses, curbs, and shackles the subject of learning, both the learner and the teacher himself. The context of the research in this scientific work is to discuss the principle of freedom of learning of Imam Al-Ghazali and how the principle of the system among Ki Hajar Dewanatara's perspective. This research is a library research (Library Research), by discussing the principle of freedom of learning by Imam Al-Ghazali and how the principle of the system among Ki Hajar Dewanatara's perspective. Data collection was carried out with yellow books and books, journals, theses, and other scientific works related to the above discussion. Data analysis is carried out by discussing content (content analysis) which is sometimes found in books and books. Check the validity of the data is done with Credibility (Credibilty). The results of this study indicate that: The basic principle of Imam Al-Ghazali's freedom of learning can be interpreted as a conscious effort that leads to the creation of outer and inner behavior to do good and stay away from evil, to have a complete personality both to himself or to others. And also in the principle of the Among Ki Hajar Dewantara system in the implementation of learning at Ki Hajar Dewantara's school, using the "Among System". In the Among System, every teacher (pamong) as a leader in the educational process is required to behave: Ing Ngarsa Sun Tuladha, Ing Madya Mangun Kasra, Tut Wuri Handhayani.

scholarly journals Analysis of Online Learning System Needs Based on MOOCs

2021 ◽  
Vol 13 (2) ◽  
pp. 953-959
Author(s):  
Fitri Masito ◽  
Eko Risdianto ◽  
I Gusti Agung Ayu Mas Oka ◽  
Yanti Daryanti ◽  
Irwan Fathurrochman
Keyword(s):  
Online Learning ◽  
Data Analysis ◽  
Study Data ◽  
Learning System ◽  
Descriptive Statistics ◽  
Development Research ◽  
Significant Percentage ◽  
Strongly Agree ◽  
Almost All ◽  
Further Development

This study aims to analyze the needs of an online learning system based on MOOCs at Poltekbang Palembang. This type of research is survey research which can later become the basis for further development research. The research instrument used was a needs analysis questionnaire with 21 questions given to 115 respondents who were students of the Palembang Poltekbang. In this study, data analysis used descriptive statistics. Based on the results of the data obtained, it can be concluded that currently, students need an online learning system based on MOOCs. It is based on the data obtained from all statements regarding the needs of Palembang Poltekbang students for effective online learning. Almost all of them were answered, with the most significant percentage being in the answer choices strongly agree and agree. Students need the points offered in each statement that they fill out on the needs questionnaire sheet. The Va value of 3.4339 was also obtained from the data obtained, which entered the valid category. While the reliability value obtained is 0.91, and the value is greater than r table for df = 113, which is 0.1832 because rcountrtable, then it is included in the reliable category.

scholarly journals Development of a PC Program for Multivariate Statistical Analysis

2017 ◽  
Vol 27 (4) ◽  
pp. 291 ◽  
Author(s):  
Pham Ngoc Son ◽  
Cao Dong Vu ◽  
Mai Quynh Anh
Keyword(s):  
Data Analysis ◽  
Statistical Analysis ◽  
Multivariate Data Analysis ◽  
Multivariate Data ◽  
Nuclear Research ◽  
Multivariate Statistical ◽  
Nuclear Research Institute ◽  
Data Set ◽  
Analysis Techniques ◽  
Preliminary Version

This report introduces a new computer program, having been developed initially at the Nuclear Research Institute at Dalat, for the multivariate data analysis techniques. In this preliminary version of the program, the size of a given data set to be analyzed is up to 50 variables and thousand observations, and can be used to perform some of the multivariate data analysis techniques such as principle component analysis, cluster analysis and data standardization. In comparison with other statistical analysis software, the same results are highly reproduced with MSAP.

scholarly journals PENGARUH KOMPETENSI DOSEN DAN MOTIVASI BELAJAR TERHADAP KEMAMPUAN ANALISIS STATISTIKA MAHASISWA FTIK IAIN KENDARI

2018 ◽  
Vol 13 (1) ◽  
pp. 1
Author(s):  
Abdul Kadir
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Statistical Analysis ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Study Data ◽  
Learning Motivation ◽  
Inferential Statistics ◽  
Analysis Techniques ◽  
Academic Year

This research aims to find out how lecturers’ competence and learning motivation affect the students’ statistical analysis ability. This research was carried out at FTIK IAIN Kendari academic year 2016/2017. Population and sample is focused on the 54 students who have successfully passed the statistics and research methodology course. The instruments used are tests, questionnaires and documentation study. Data analysis techniques used are descriptive and inferensial analysis after the test meets the requirements of linearity, multicollinearity, normality and autocorrelation continued with the hypothesis testing through multiple linear regression analysis and path analysis. The research results indicate that; 1) the lecturers’ competence partially affecrs the students’ inferential statistics analysis capabilities significantly, 2) the students’ learning motivation partially affects the students’ inferential statistics capability significantly, and 3) the lecturers’ competence and the students’ motivation significantly affect the students’ inferential statistics capabilities. Both of these variables contribute collectively as much as 62.2% to the students’ inferential capability, while the rest 37.8% influenced or described by other factors which are not addressed in this study.

Compositional Data Analysis

2021 ◽  
Vol 8 (1) ◽  
pp. 271-299
Author(s):  
Michael Greenacre
Keyword(s):  
Data Analysis ◽  
Statistical Analysis ◽  
Domain Knowledge ◽  
Compositional Data ◽  
Compositional Data Analysis ◽  
Data Sets ◽  
Multivariate Statistical ◽  
Zero Values ◽  
Ratio Approach ◽  
Fundamental Transformation

Compositional data are nonnegative data carrying relative, rather than absolute, information—these are often data with a constant-sum constraint on the sample values, for example, proportions or percentages summing to 1% or 100%, respectively. Ratios between components of a composition are important since they are unaffected by the particular set of components chosen. Logarithms of ratios (logratios) are the fundamental transformation in the ratio approach to compositional data analysis—all data thus need to be strictly positive, so that zero values present a major problem. Components that group together based on domain knowledge can be amalgamated (i.e., summed) to create new components, and this can alleviate the problem of data zeros. Once compositional data are transformed to logratios, regular univariate and multivariate statistical analysis can be performed, such as dimension reduction and clustering, as well as modeling. Alternative methodologies that come close to the ideals of the logratio approach are also considered, especially those that avoid the problem of data zeros, which is particularly acute in large bioinformatic data sets.

scholarly journals Dinâmicas e processos de inovaçâo em regiôes do interior de Portugal: caso de estudo = Dynamics and processes of innovation in the interior regions of Portugal: a case study

2011 ◽  
pp. 283
Author(s):  
Maria Manuela Natario ◽  
Carlos Roque de Almeida
Keyword(s):  
Higher Education ◽  
Statistical Analysis ◽  
Triple Helix ◽  
Public Institutions ◽  
Regional Innovation Systems ◽  
Regional Innovation ◽  
Multivariate Statistical ◽  
Enseñanza Superior ◽  
The Subject

El presente trabajo tiene como objetivo analizar la dinámica y los procesos de innovación en las regiones interiores del centro de Portugal buscando identificar los factores que estimulan la dinámica territorial de la innovación. La preocupación por la dinámica de la innovación ha sido objeto de varios estudios en el contexto de los sistemas regionales de innovación y, más recientemente, se encuadra en el desarrollo del Modelo “Triple Hélix” (Etzkowitz y Leydesdorff, 2000; Dzisah y Etzkowitz, 2009). Este modelo integra el estudio de la interacción entre las hélices para promover la innovación. El estudio empírico se centra en las empresas de tres distritos interiores de la zona Centro de Portugal (Castelo Branco, Guarda y Viseu). Desde el punto de vista de la metodología, para la realización del estudio se envió un cuestionario a las empresas de estos tres distritos y se ha utilizado la aplicación de análisis estadístico multivariante “k-means clustering” para detectar patrones de comportamiento de las empresas relativos a su dinámica de innovación respecto al perfil de la región en términos de innovación, al espíritu de iniciativa empresarial, a la cooperación con las instituciones de enseñanza superior y a la proactividad de las instituciones públicas. Para verificar las hipótesis propuestas se recurrió a aplicación de tests de comparación múltiple de valores medios para estudiar las características únicas de cada grupo.<br /><br /><br />The main objective of this paper is analysis the dynamics and processes of innovation in regions of interior centre of Portugal, seeking to identify factors that stimulate the territorial dynamics of innovation. <br />The dynamics of innovation has been the subject of several studies in the context of regional innovation systems and more recently has been considered in the Model "Triple Helix" (Etzkowitz and Leydesdorff, 2000; Dzisah and Etzkowitz, 2009). This model integrates the interaction between the helices to promote innovation. This empirical study includes three districts in Portugal (Castelo-Branco, Guarda and Viseu). The methodology consisted of a survey involving the companies in these districts and application of multivariate statistical analysis “k-means clusters” to detect their behavioral patterns within the region’s profile in terms of dynamics of innovation, spirit of business initiative, cooperation with the higher education institutions and proactivity of public institutions. In order to verify the formulated hypotheses, we resorted to the application of tests of multiple average differences to assess the unique characteristics of each cluster.<br /><br /><br />O presente trabalho tem como objectivo analisar as dinâmicas e os processos de inovação em regiões do interior centro de Portugal, procurando identificar factores que estimulam a dinâmica territorial de inovação. A preocupação com as dinâmicas de inovação tem sido alvo de diversos estudos no âmbito dos sistemas regionais de inovação e mais recentemente tem sido enquadrada no desenvolvimento do Modelo “Triple Helix” (Leydesdorff e Etzkowitz, 2000; Dzisah e Etzkowitz, 2009). Este modelo integra o estudo da interacção entre as hélices para promover a inovação. O estudo empírico incide sobre as empresas de três distritos do interior centro de Portugal. Como metodologia foi realizado um questionário às empresas destes distritos e utilizou-se a aplicação da análise estatística multivariada “k-means clusters” para detectar padrões comportamentais das empresas relativamente à sua dinâmica de inovação e face ao perfil da região em termos de inovação, espírito de iniciativa empresarial, cooperação com as IES e proactividade das Instituições Públicas. Para verificar as hipóteses formuladas recorremos à aplicação de testes de diferenças múltiplas de médias para aferirmos as características únicas de cada cluster.

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