Chromate Sampling Methods and Data Analysis

2001 ◽  
Author(s):  
David Carpenter
Keyword(s):  
Data Analysis ◽  
Sampling Methods

scholarly journals Penggunaan Google Classroom Sebagai Media Pembelajaran Matematika

2021 ◽  
Vol 5 (1) ◽  
pp. 17
Author(s):  
Ellen Proborini ◽  
Ratna Herawati
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Random Sampling ◽  
Sampling Methods ◽  
Mathematics Learning ◽  
Simple Random Sampling ◽  
Time Data ◽  
Analysis Techniques ◽  
Learning Mathematics ◽  
Interactive Data

The purpose of this study is determining the online mathematics learning implementation using Google classroom media for XII grades at SMK Tunas Harapan Pati, obstacles for using google classroom and amenity for using google classroom . This research uses qualitative research methods with descriptive design.The subject in this research is 5 students grade XII who are chosen with simple random sampling methods. The techniques used in collecting data are deep interview, and direct observation at the same time. Data analysis techniques use interactive data analys model. The conclusion of this research is the students can’t be optimally adapted in using google classroom for media of learning mathematics such as unstabile signal and there is electricity blackout too often .

scholarly journals Pengaruh Kepemimpinan Transformasional Dan Motivasi Terhadap Keberhasilan Usaha Di Bekasi

2020 ◽  
Vol 2 (1) ◽  
pp. 71
Author(s):  
Antonius Stephen ◽  
Mei Ie
Keyword(s):  
Transformational Leadership ◽  
Structural Equation Modeling ◽  
Data Analysis ◽  
Data Collection ◽  
Structural Equation ◽  
Sampling Methods ◽  
Equation Modeling ◽  
Business Success ◽  
Analysis Method ◽  
Positive Effect

This study examines transformational leadership variables and motivation for the success of SME businesses in Bekasi. Transformational leadership is the ability of a leader in working with others to transform. Motivation is an encouragement or reason that becomes the basis of one's enthusiasm for doing something to achieve certain goals. Business success is a situation where the business experiences an increase from the previous results. This study aims to empirically examine the effect of transformational leadership and motivation on business success. The sample in this study were 50 respondents from various types of businesses in Bekasi. Data collection is done by distributing questionnaires, using non-probability sampling methods. The data analysis method used is the Structural Equation Modeling (SEM) method with Smart PLS 3. The results showed that transformational leadership has a positive effect on business success, and motivation also has a positive effect on business success. Penelitian ini meneliti variabel kepemimpinan transformasional dan motivasi terhadap keberhasilan usaha UKM di Bekasi. Kepemimpinan transformasional adalah kemampuan seseorang pemimpin dalam bekerja dengan melalui orang lain untuk mentransformasikan. Motivasi adalah suatu dorongan atau alasan yang menjadi dasar semangat seseorang untuk melakukan sesuatu untuk mencapai tujuan tertentu. Keberhasilan usaha adalah suatu keadaan dimana usaha mengalami peningkatan dari hasil yang sebelumnya. Penelitian ini bertujuan untuk menguji secara empiris pengaruh kepemimpinan transformasional dan motivasi terhadap keberhasilan usaha. Sampel pada penelitian ini adalah 50 responden dari berbagai jenis usaha di Bekasi. Pengumpulan data dilakukan dengan melakukan penyebaran kuesioner, dengan menggunakan metode nonprobability sampling. Metode analisis data yang digunakan adalah metode Structural Equation Modeling (SEM) dengan Smart PLS 3. Hasil penelitian menunjukkan bahwa kepemimpinan transformasional berpengaruh positif dengan keberhasilan usaha, serta motivasi juga berpengaruh positif terhadap keberhasilan usaha.

Jender Dan Tanggung Jawab Kredit UMKM

Liquidity ◽  
2018 ◽  
Vol 3 (1) ◽  
pp. 60-64 ◽  
Author(s):  
Lailah Fujianti
Keyword(s):  
Data Analysis ◽  
Sampling Methods ◽  
Loan Repayment ◽  
Men And Women ◽  
Purposive Sampling

Previous research revealed that women are more responsible for loan repayment (D'Espallie at all, 2011;AgierandSzafarz, 2013 and BoeheandCruz, 2013). The aim of this research to verification of the results of previous research whether there is a difference between men's and women's responsibilities in terms of loan repayment onSMEs in Indonesia and to find out who is more responsible man or woman. The samples were SMEs in Depok and Bogor as many as 65 people were taken by purposive sampling. Methods of data analysis is Mann Whitney two independent samples. The results howed significant differences in loan repayment responsibilities between men and women. Women are more responsible for repayment than men.

scholarly journals What Pediatricians Should Know Before Studying Gut Microbiota

2019 ◽  
Vol 8 (8) ◽  
pp. 1206 ◽  
Author(s):  
Drago ◽  
Panelli ◽  
Bandi ◽  
Zuccotti ◽  
Perini ◽  
...  
Keyword(s):  
Human Physiology ◽  
Data Analysis ◽  
Sampling Methods ◽  
Basic Knowledge ◽  
Gene Interactions ◽  
Vital Organ ◽  
Sample Collection ◽  
Exclusion Criteria ◽  
Molecular Approaches ◽  
Insight Into

Billions of microorganisms, or “microbiota”, inhabit the gut and affect its homeostasis, influencing, and sometimes causing if altered, a multitude of diseases. The genomes of the microbes that form the gut ecosystem should be summed to the human genome to form the hologenome due to their influence on human physiology; hence the term “microbiome” is commonly used to refer to the genetic make-up and gene–gene interactions of microbes. This review attempts to provide insight into this recently discovered vital organ of the human body, which has yet to be fully explored. We herein discuss the rhythm and shaping of the microbiome at birth and during the first years leading up to adolescence. Furthermore, important issues to consider for conducting a reliable microbiome study including study design, inclusion/exclusion criteria, sample collection, storage, and variability of different sampling methods as well as the basic terminology of molecular approaches, data analysis, and clinical interpretation of results are addressed. This basic knowledge aims to provide the pediatricians with a key tool to avoid data dispersion and pitfalls during child microbiota study.

scholarly journals EEG Self-Adjusting Data Analysis Based on Optimized Sampling for Robot Control

Electronics ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 925 ◽  
Author(s):  
Hao Lan Zhang ◽  
Sanghyuk Lee ◽  
Xingsen Li ◽  
Jing He
Keyword(s):  
Data Analysis ◽  
Robot Control ◽  
Sampling Methods ◽  
Piecewise Linear ◽  
Activity Patterns ◽  
Original Data ◽  
Piecewise Linear Approximation ◽  
Data Sampling ◽  
Eeg Signals ◽  
Eeg Data

Research on electroencephalography (EEG) signals and their data analysis have drawn much attention in recent years. Data mining techniques have been extensively applied as efficient solutions for non-invasive brain–computer interface (BCI) research. Previous research has indicated that human brains produce recognizable EEG signals associated with specific activities. This paper proposes an optimized data sampling model to identify the status of the human brain and further discover brain activity patterns. The sampling methods used in the proposed model include the segmented EEG graph using piecewise linear approximation (SEGPA) method, which incorporates optimized data sampling methods; and the EEG-based weighted network for EEG data analysis, which can be used for machinery control. The data sampling and segmentation techniques combine normal distribution approximation (NDA), Poisson distribution approximation (PDA), and related sampling methods. This research also proposes an efficient method for recognizing human thinking and brain signals with entropy-based frequent patterns (FPs). The obtained recognition system provides a foundation that could to be useful in machinery or robot control. The experimental results indicate that the NDA–PDA segments with less than 10% of the original data size can achieve 98% accuracy, as compared with original data sets. The FP method identifies more than 12 common patterns for EEG data analysis based on the optimized sampling methods.

scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI KEPATUHAN WAJIB PAJAK PADA KKP PRATAMA MAJALAYA

2018 ◽  
Vol 3 (2) ◽  
pp. 1
Author(s):  
Andy Lasmana ◽  
Dea Azmi Wiryanti
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Multiple Regression Analysis ◽  
Sampling Methods ◽  
Good Governance ◽  
Tax Compliance ◽  
Test Reliability ◽  
Coefficient Of Determination ◽  
Reliability Test ◽  
Tax Amnesty

This research was intended to analyze the effect of sunset policy, tax amnesty, and good governance on taxpayer compliance in Majalaya primary tax office. The population in this study are all registered taxpayer (corporate and individual taxpayer) in Majalaya primary tax office. The number of samples in this study amounted to 110 respondents. Sampling was done using probability sampling methods. Method of data analysis used in this research was by using validity test, reliability test, classic assumption test, multiple regression analysis, the coefficient of correlation, the coefficient of determination (R2 test), F-test, and t-test. Based on researches results, it can be concluded that simultaneously sunset policy, tax amnesty and good governance have an effect on taxpayer compliance. While partially, sunset policy and tax amnesty hasn’t effect on taxpayer compliance, different from good governance which have positive and significant impact to taxpayer compliance.Keywords : sunset policy, tax amnesty, good governance, dan tax compliance

Analysis of Farmers' Income Differences Using The Cocoa-Patchouli Intercropping System And The Cocoa Monoculture System In Puduria Jaya Village Buke Sub District South Konawe District

2021 ◽  
Vol 1 (1) ◽  
pp. 8
Author(s):  
Yuliana Citra ◽  
Lukman Yunus ◽  
Muhammad Aswar Limi
Keyword(s):  
Data Analysis ◽  
Random Sampling ◽  
Sampling Methods ◽  
Cropping System ◽  
T Test ◽  
Stratified Random Sampling ◽  
Average Income ◽  
Income Differences ◽  
Significant Difference

This study aims to determine the differences in farming income for the cropping system of the patchouli cacao intercropping system and the cocoa monoculture system in the Puduria Jaya Village Buke Sub District South Konawe District. This research was conducted in Puduria Jaya Village Buke Sub District, South Konawe District in 2019. The determination of research respondents was carried out by proportional stratified random sampling. Methods of data analysis using income analysis and t-test. The results showed that the average income of patchouli intercropping farmers was IDR 16,172,200 / ha and the income of cocoa monoculture farmers was IDR 3,904,783 / ha. The income of patchouli cocoa intercropping farmers and cocoa monocultures shows a significant difference where the income of patchouli cacao intercropping patterns is greater than that of cocoa monocultures.

scholarly journals PEMILIHAN METODE AKUNTANSI PERSEDIAAN DAN PENGARUHNYA TERHADAP EARNING PRICE RATIO

IQTISHODUNA ◽  
2011 ◽  
Vol 3 (2) ◽  
Author(s):  
Yuli Soesetio
Keyword(s):  
Data Analysis ◽  
Sampling Methods ◽  
Stock Exchange ◽  
Secondary Data ◽  
T Test ◽  
Price Ratio ◽  
Parametric Test ◽  
Purposive Sampling ◽  
Ratio Data ◽  
Using Data

This research was conducted to know investment production opportunity in the inventory variable, accounting profit variable, HPP variable, company’s siz, equity intensity and inventory intensity, and to know the effect of option the accounting inventory methods (FIFO) and average methods towards earning price ratio. Data taken from secondary data with using documentation methods and purposive sampling methods with 10 companies. Using sample manufacturing’s comp[any which listed in Jakarta Stock Exchange period 2001-2005. using data analysis Mann-Whitney and t-test, log regression and parametric test. The result of univariat test indicated that just inventory intensity variability which using average inventory methods FIFO methods which has significant differences.

scholarly journals Pengaruh Kenyamanan, Kepercayaan, dan Harga Terhadap Minat Mahasisiwi FEBI IAIN Langsa Berbelanja Online Menggunakan Akad Salam

2020 ◽  
Vol 6 (1) ◽  
pp. 105-118
Author(s):  
Faisal Umardani Hasibuan ◽  
Zella Safira
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Multiple Regression ◽  
Random Sampling ◽  
Online Shopping ◽  
Sampling Methods ◽  
Simple Random Sampling ◽  
Questionnaire Data ◽  
Business Faculty ◽  
Positive Effect

The purpose of this study was to determine how the effect of convenience, trust and price on comfort of islamic economics and business faculty students online shopping with as-salam contract.This type of research is kuantitatif recearch. The samples in this study were 85 respondens from students have been shopping online with as-salam contract The sampling tecnique using simple random sampling . methods of data collection by questionnaire. Data analysis using multiple regression analysis.The results showed that in the F test of regression conducted found that all variables that include convenience,trust and price simultaneously positive and significant effect  the comfort online shopping with as-salam contract. While the results of t tests conducted that partially influential variables are the convenience and price positive and significant effect agains comfort online shopping with as-salam contract, while the partial trust variables have positive effect so not significant on comfort online shopping with as-salam contract.

scholarly journals Analisis Literasi Keuangan, Perilaku Keuangan, Dan Pendapatan Terhadap Keputusan Investasi

2020 ◽  
Vol 8 (3) ◽  
pp. 319-332
Author(s):  
Ulfy Safryani ◽  
Alfida Aziz ◽  
Nunuk Triwahyuningtyas
Keyword(s):  
Data Analysis ◽  
Financial Literacy ◽  
Sampling Methods ◽  
National Development ◽  
Investment Decisions ◽  
Partial Least Square ◽  
Least Square ◽  
Financial Behavior ◽  
Analysis Techniques ◽  
Financial Behaviour

Research is a quantitative study that has a purpose to know the influence of financial literacy, financial behaviour and income to investment decisions. The population in this research is the permanent lecturer Faculty of Economics and Business of National Development University Veteran Jakarta. Samples were taken as many as 80 respondents, with non probability sampling methods, purposive sampling. Data collection is done by spreading the questionnaire to the sample that has been determined through Google form. Data analysis techniques used are analysis methods PLS (Partial Least Square) with Smart software PLS 3.0. The results of this study show that: (1) Financial literacy has an influence on investment decisions with the value of the line coefficient of 0.455; (2) Financial behavior has no influence on investment decisions with the value of the line coefficient 0.165; (3) Revenue has an influence on investment decisions with a line coefficient value of 0.337.       Keywords: Financial Literacy; Financial Behavior;  Income; Investment Decisions

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