scholarly journals Pengaruh Rekomendasi Blogger terhadap Minat Belanja Online

2021 ◽  
Vol 5 (4) ◽  
pp. 420
Author(s):  
Fallane Hartanto ◽  
Eko Harry Susanto
Keyword(s):  
Random Sampling ◽  
Quantitative Research ◽  
Sampling Method ◽  
Online Shopping ◽  
Partial Least Square ◽  
Least Square ◽  
Analysis Techniques ◽  
Research Type ◽  
Insight Into

This research aims to determine the effects of blogger recommendations on online shopping interestions from attractiveness, trust and expertise. The number of samples used in this study were 215 consumer respondents who are active in online shopping in Jakarta, Indonesia. This research uses quantitative research type, by distributing questionnaires online through google form media with purposive random sampling method and analysis techniques using Partial Least Square (PLS). The results of this research indicate that there is an effect of attractiveness, trust and expertise on online shopping interest. This research is expected to provide insight into the understanding the interest in online shopping. Penelitian ini bertujuan untuk mengetahui pengaruh rekomendasi blogger terhadap minat belanja online yaitu menilai dari daya tarik, kepercayaan dan keahlian. Jumlah sampel yang digunakan dalam penelitian ini sebanyak 215 responden konsumen yang aktif dalam belanja online di Jakarta. Penelitian ini menggunakan jenis penelitian kuantitatif, yaitu dengan cara penyebaran kuesioner secara online melalui media google form dengan metode purposive random sampling dan teknik analisis menggunakan Partial Least Square (PLS). Hasil penelitian ini menunjukkan bahwa adanya pengaruh daya tarik, kepercayaan dan keahlian terhadap minat belanja online. Penelitian ini diharapkan dapat memberikan wawasan dalam pemahaman minat belanja online.

scholarly journals THE FACTORS THAT AFFECT THE AUDIT QUALITY

2020 ◽  
pp. A 48-A 53
Author(s):  
Hari Setiyawati ◽  
Diah Iskandar ◽  
Gustita Arnawati Putri
Keyword(s):  
Random Sampling ◽  
Sampling Method ◽  
Audit Quality ◽  
Simple Random Sampling ◽  
Partial Least Square ◽  
Least Square ◽  
Research Model ◽  
Public Accounting ◽  
Professional Skepticism ◽  
Accounting Firm

This study aims to determine the effect of auditor professional skepticism and audit experience on audit quality. This study was undertaken through a survey and was grounded based on existing theories which were then developed into a research model in which the model in this study was designed to examine the effect of auditor professional skepticism and the influence of audit experience on audit quality. This research was conducted at a Public Accounting Firm located in DKI Jakarta. The sampling method used was simple random sampling and 97 samples were obtained. Data were analyzed using Partial Least Square. The results of this study indicate that professional skepticism has a significant effect on audit quality, while auditor experience has no significant effect on audit quality. KEYWORDS: Audit Quality, Audit Professional Skepticism, Auditor Experience.

scholarly journals In search of an optimum sampling algorithm for prediction of soil properties from infrared spectra

PeerJ ◽  
2018 ◽  
Vol 6 ◽  
pp. e5722 ◽  
Author(s):  
Wartini Ng ◽  
Budiman Minasny ◽  
Brendan Malone ◽  
Patrick Filippi
Keyword(s):  
Soil Properties ◽  
Sample Size ◽  
Random Sampling ◽  
Regression Models ◽  
Sampling Method ◽  
Partial Least Square ◽  
Least Square ◽  
Sampling Algorithm ◽  
Calibration Sample ◽  
Sampling Algorithms

Background The use of visible-near infrared (vis-NIR) spectroscopy for rapid soil characterisation has gained a lot of interest in recent times. Soil spectra absorbance from the visible-infrared range can be calibrated using regression models to predict a set of soil properties. The accuracy of these regression models relies heavily on the calibration set. The optimum sample size and the overall sample representativeness of the dataset could further improve the model performance. However, there is no guideline on which sampling method should be used under different size of datasets. Methods Here, we show different sampling algorithms performed differently under different data size and different regression models (Cubist regression tree and Partial Least Square Regression (PLSR)). We analysed the effect of three sampling algorithms: Kennard-Stone (KS), conditioned Latin Hypercube Sampling (cLHS) and k-means clustering (KM) against random sampling on the prediction of up to five different soil properties (sand, clay, carbon content, cation exchange capacity and pH) on three datasets. These datasets have different coverages: a European continental dataset (LUCAS, n = 5,639), a regional dataset from Australia (Geeves, n = 379), and a local dataset from New South Wales, Australia (Hillston, n = 384). Calibration sample sizes ranging from 50 to 3,000 were derived and tested for the continental dataset; and from 50 to 200 samples for the regional and local datasets. Results Overall, the PLSR gives a better prediction in comparison to the Cubist model for the prediction of various soil properties. It is also less prone to the choice of sampling algorithm. The KM algorithm is more representative in the larger dataset up to a certain calibration sample size. The KS algorithm appears to be more efficient (as compared to random sampling) in small datasets; however, the prediction performance varied a lot between soil properties. The cLHS sampling algorithm is the most robust sampling method for multiple soil properties regardless of the sample size. Discussion Our results suggested that the optimum calibration sample size relied on how much generalization the model had to create. The use of the sampling algorithm is beneficial for larger datasets than smaller datasets where only small improvements can be made. KM is suitable for large datasets, KS is efficient in small datasets but results can be variable, while cLHS is less affected by sample size.

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PENENTU BELANJA ONLINE

2020 ◽  
Vol 5 (2) ◽  
Author(s):  
Christian Aditya ◽  
Titik Kusmantini ◽  
Yuli Liestyana
Keyword(s):  
Significant Influence ◽  
Structural Equation ◽  
Quantitative Research ◽  
Online Shopping ◽  
Consumer Attitudes ◽  
Partial Least Square ◽  
Least Square ◽  
Internet Technology ◽  
Equation Modeling ◽  
Perceived Benefits

Online shopping is an activity of buying and selling by utilizing the development of internet technology. The higher level of online shopping consumers has led to the phenomenon of e-commerce, like Zalora and Lazada. Consumers of online shopping in Special Region of Yogyakarta conducting online shopping activities are influenced by factors such as perception of easy to use, perception of perceived benefits, perception of risk, trust, consumer attitudes and online shopping interests. The design of research is descriptive and quantitative research using incidental sampling method. Data collection technique is carried out by distributing questionnaires using Google forms with the number of samples studied is 155 respondents. In order to test the hypothesis, Structural Equation Modeling (SEM) is used with analysis technique based on Partial Least Square (PLS). The results of this study show that 1) There is a positive and significant effect of perception of easy to use on consumer attitudes, 2) There is a positive and significant effect of perception of perceived benefits on consumer attitudes, 3) There is a negative and insignificant effect of risk perception on consumer attitudes, 4) There is a positive and significant influence of trust on consumer attitudes, 5) There is a positive and significant influence of consumer attitudes on online shopping interest.

scholarly journals Effects of Consumer Innovativeness, Fashion Innovativeness, and Fashion Involvement on Online Purchase Intention

2020 ◽  
Vol 8 (2) ◽  
pp. 50-71
Author(s):  
Mas Azira Mohamed ◽  
Yu Ghee Wee
Keyword(s):  
Purchase Intention ◽  
Structural Equation ◽  
Quantitative Research ◽  
Online Shopping ◽  
Partial Least Square ◽  
Least Square ◽  
Consumer Innovativeness ◽  
Positive Effects ◽  
Online Purchase ◽  
Fashion Involvement

Online shopping is becoming increasingly important in the current era, rendering comprehension of consumer online shopping habits crucial. This notion rings true in the context of users and companies alike, thereby emerging as a big concern for e-commerce managers and researchers. One may assume that only by understanding the factors influencing consumer buying intentions for fashion items online will companies be better-positioned for meeting consumer needs. In this analysis, the relationship between customer online purchasing intentions and selected factors was investigated, specifically consumer innovativeness, fashion innovativeness, and fashion involvement. Quantitative research was implemented in the process, involving fashion online shoppers in Malaysia as the respondents after being selected via quota sampling from the ten most popular fashion shopping websites in Malaysia. The statistical method of Partial Least Square – Structural Equation Modelling (PLS-SEM) was then employed for the proposed model testing. The findings subsequently revealed the positive effects of consumer innovativeness, and fashion involvement on online purchase intention, whereas any significant relationship between the variable with fashion innovativeness was absent. However, this analysis was conducted in Malaysia; therefore, the results could be different if tested in other countries. Hence, similar studies related to fashion online purchase intention should be replicated in other Asian countries in the future.

scholarly journals KEWIRAUSAHAAN, INOVASI TEKNOLOGI, DAN KEUNGGULAN BERSAING PADA USAHA MIKRO, KECIL, DAN MENENGAH (UMKM) MAKANAN DI KECAMATAN CIBINONG

2020 ◽  
Vol 5 (2) ◽  
pp. 85-96
Author(s):  
Luhung Bagas Prayogo ◽  
Suharyati Suharyati ◽  
M.B Nani Ariani
Keyword(s):  
Competitive Advantage ◽  
Technological Innovation ◽  
Significant Influence ◽  
Quantitative Research ◽  
Sampling Method ◽  
Sampling Technique ◽  
Partial Least Square ◽  
Least Square ◽  
Purposive Sampling ◽  
Analysis Technique

This research is a quantitative research that aims to determine the effect of entrepreneurship and technological innovation on the competitive advantage of food MSMEs in Cibinong Subdistrict. The population used for this research is the businessmen MSMEs food entreprises at Cibinong Subdistrict. The number of sample which is taken was 50 respondents. The sampling technique for this research is purposive sampling method. The analysis technique used is Partial Least Square with 5% significance. The results of the testing are obtained (1) there is a significant effect of entrepreneurship on competitive advantage, (2) there is a significant influence of technological innovation on competitive advantage

scholarly journals Perceived Organizational Support Terhadap Komitmen Organisasi dan Kinerja Karyawan

2021 ◽  
Vol 22 (1) ◽  
pp. 111-120
Author(s):  
Anggita Rinda Pratiwi ◽  
◽  
Muzakki Muzakki ◽  
Keyword(s):  
Organizational Commitment ◽  
Organizational Support ◽  
Employee Turnover ◽  
Quantitative Research ◽  
Perceived Organizational Support ◽  
Sampling Method ◽  
Employee Performance ◽  
Partial Least Square ◽  
Least Square ◽  
A Company

PT. Panca Mitra Multi Perdana is a company engaged in the export-import field. The production division is a division with a large workload and generally has the highest employee turnover compared to other divisions. Employee turnover can be suppressed by increasing perceived organizational support. This is because perceived good organizational support is directly proportional to organizational commitment and employee performance. This study aims to determine the effect of perceived organizational support on organizational commitment and employee performance on production division employees at PT. Panca Mitra Multi Perdana, located in Situbondo. This research uses causal quantitative research. The sample in this study amounted to 100 employees of the production division at PT. Panca Mitra Multi Perdana, located in Situbondo. Samples were selected using the purposive sampling method. Research data were analyzed using the Partial Least Square (PLS) method. The results showed that perceived organizational support had a positive and significant effect on organizational commitment with an R-Square value of 0.9123 (91.23%). Perceived organizational support has a positive and significant effect on employee performance with an R-Square value of 0.8997 (89.97%).

scholarly journals effect of accountability, transparency and operational efficiency on decisions to pay zakat with ability as intervening variables

2022 ◽  
Vol 9 (1) ◽  
pp. 138-150
Author(s):  
Eko Muliansyah ◽  
Mulyanto Nugroho ◽  
Slamet Riyadi
Keyword(s):  
Sampling Method ◽  
Operational Efficiency ◽  
Partial Least Square ◽  
Least Square ◽  
Probability Sampling ◽  
Analysis Techniques ◽  
Written Information ◽  
Pls Analysis ◽  
Questionnaire Research ◽  
Intervening Variables

This study focuses on the effect of accountability, transparency, and operational efficiency on the decision to pay zakat with ability as a moderating variable at the national amil zakat institution in Surabaya. The population used in this study was 105.644 people. The sample in the study was 399 people determined by the non-probability sampling method. In this study, a questionnaire research instrument was used, namely, a set of questions addressed to respondents to obtain written information related to research variables and using Partial Least Square (PLS)analysis techniques. The results show the ability to intervene the effect of the variables of accountability, transparency, and efficiency positively and significantly on the decision to pay zakat at the national amil zakat institution in Surabaya.

scholarly journals INSTANT SHOPPING – MILLENNIAL USER IN BATAM CITY DURING COVID-19 PANDEMIC SERVICES

2021 ◽  
Keyword(s):  
Millennial Generation ◽  
Sampling Method ◽  
Online Shopping ◽  
Partial Least Square ◽  
Least Square ◽  
Business Sector ◽  
Analysis Method ◽  
Limited Space ◽  
Sample Calculation ◽  
Further Development

Online shopping has been really familiar for both public and smartphone users. Recent phenomenon has showed us a much-helpful simple way in providing customers’ needs and consumption during Covid-19 pandemic. The limited space caused by the condition has made consumers shift towards instant online shopping. The customers’ changing behavior forces business sector to adjust and fulfil customer’s need and desires. This research is implemented by using judgmental sampling method, which includes millennial generation as users on instant shopping. The amount of population is unknown, while the sample calculation is 1:10 of each questionnaire statement. Partial least square is also used in this research as analysis method, by also using SmartPLS 3.0. The result gave an analysis and found a slight change of customer’s behavior, especially in using Instagram account as an instant shopping alternative which supports recent situation. This could also be next suggestion for further development after Covid-19 pandemic.

scholarly journals THE RELATIONSHIP BETWEEN EMPLOYER BRANDING, CORPORATE REPUTATION, AND RECRUITMENT WEB ON INTENTION TO APPLY

2020 ◽  
Vol 7 (8) ◽  
pp. 1572
Author(s):  
Fenti Erlinda ◽  
Rini Safitri
Keyword(s):  
Data Collection ◽  
Corporate Reputation ◽  
Random Sampling ◽  
Sampling Method ◽  
Simple Random Sampling ◽  
Partial Least Square ◽  
Least Square ◽  
Employer Branding ◽  
Company Reputation ◽  
The Relationship

Research on intention to apply has been done before. Some of  the research that resulted in that the variables - variables that influence on intention to apply is employer branding , reputation of the company , the website recruitment , will be but the results of the study are contained inaccuracies which said that the reputation of the company and website recruitment no effect on intention to apply, so it needs to do research back to answer the formulation of the problems associated with the effect of employer branding, reputation of the company and website recruitment against intention to apply. The purpose of this study was to determine the effect of employer branding, company reputation, and website recruitment on intention to apply. The population in the study subjects was 102,290 people with a sample of respondents as many as 99 people. The method of determining the sample using simple random sampling method. Data collection in this study was carried out through observation, interviews, and questionnaires. The approach that is used in research this is the approach of quantitative, testing the hypothesis in research is using Partial Least Square (PLS) version 3.2.9. Results of the study show the employer branding and reputation of the company has influence positively and significantly to intention to apply, while the website recruitment has influence negatively and significantly against intention to apply.Keywords: employer branding, company reputation, website recruitment, intention to apply

scholarly journals Pengaruh Brand Image dan Persepsi Harga Terhadap Kualitas Pelayanan dan Kepuasan Pelanggan (Studi pada Pelanggan Datsun Nissan Martadinata)

2019 ◽  
Vol 8 (2) ◽  
pp. 1
Author(s):  
Oscar Marco Sanny Junior ◽  
William A. Areros ◽  
Riane J. Pio
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Quantitative Research ◽  
Sampling Method ◽  
Brand Image ◽  
Partial Least Square ◽  
Least Square ◽  
Price Perception ◽  
Purposive Sampling ◽  
Pls Analysis

The immediate objectives of this research is to determined the effect of (1) Brand Image towards Service Quality on Datsun Nissan Martadinata customers, (2) Brand Image towards Customer Satisfaction on Datsun Nissan Martadinata customers, (3) Price Perception of Service Quality on Datsun Nissan Martadinata customers, (4) Price Perception of Customer Satisfaction on Datsun Nissan Martadinata customers, and (5) Service Quality towards Customer Satisfaction on Datsun Nissan Martadinata customers. The quantitative research is adapted as the method in this study and used questionnaire as the reflection of its method. Datsun buyers at Nissan Martadinata Manado are used as the population and Datsun customers are used as the samples. The questionnaires will be distributed with purposive sampling method. This study uses SmartPLS software to assist the Partial Least Square (PLS) analysis. The study resulted in 3 hypotheses were rejected from 5 hypotheses.

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