Can fear of failure predict academic procrastination? A study of Indonesian university students

This study aims to determine the ability of fear of failure in predicting academic procrastination in students in Indonesia by involving 428 respondents (male = 52.63%). The instruments used are the academic procrastination scale and the fear of failure scale. Analysis of this research data uses a simple linear regression technique. This study showed that fear of failure affected academic procrastination significantly with a contribution value of 38.6% positive direction, while 61.4% was influenced by other factors not studied. Research confirms that students with high levels of fear of failure tend to have high levels of academic procrastination and vice versa

Mediation role of service innovation in the effects of knowledge creation on marketing performance of restaurant

This work explores the effect of knowledge creation on service innovation and marketing performance among restaurants within the Kumasi Metropolis. A total of 200 restaurants were sampled for this work. The study adopted the use of questionnaire as the main data collection instrument to obtain the study responses. The information obtained from the structured questionnaire was analyzed using the multiple linear regression technique for analyzing mediation effects to arrive at the study results. The findings of the study indicate that there is a positive relationship between knowledge creation and service innovation. It was also found that service innovation has positive and significant effect on marketing performance. Furthermore, the study findings revealed that service innovation mediates the relationship between knowledge creation and marketing performance of restaurants. Based on the results, it was recommended that management invest in the creation of knowledge as this will drive innovativeness in the organization and subsequently lead to a higher marketing performance. The paper significantly discusses the body of knowledge concerning the effect of knowledge creation, service innovation and marketing performance in the restaurant context.

Pengaruh E-Commerce Terhadap Pendapatan UMKM Yang Bermitra Gojek Dalam Masa Pandemi Covid-19

Tight business competition, especially during the COVID-19 pandemic until the second semester in 2021, is still very much felt. Consumer incomes are starting to decline and the urgency of using technology is due to direct buying activities that are recommended to use electronic money more nowadays. The emergence of the e-commerce market has created vast market opportunities for retailers and logistics service providers, can increase purchase and sales satisfaction and can facilitate the ability of logistics service providers to manage greater. This is what makes us as researchers want to know how much influence e-commerce has on income, especially for MSMEs that have used e-commerce in the South Sumatra area. The population in this study is MSME users of e-commerce. The sampling technique used non-probability sampling with purposive sampling type obtained as many as 397 samples. By using the multiple linear regression technique, the results obtained that the interface, navigation, content, and reliability variables have a significant effect on the income of MSMEs in South Sumatra during the COVID-19 pandemic, while technical variables have no effect on the income of MSMEs in South Sumatra.

ATTITUDE AND PERCEIVED RISK TOWARDS COVID-19 IMMUNIZATION

Several vaccines have been approved against COVID-19 infectious disease and are being given to pop-ulations in different regions of the world. But, the number of people getting vaccines are quite less than the targeted population for whom the vaccines are being kept for immunization purpose. Therefore, the study aimed to investigate the attitude and perceived risk towards COVID-19 vaccination decision in Bangladesh. An exploratory population-based survey was conducted among 186 general individuals chosen purposively from the metropolitan area of Dhaka. The survey was conducted using a structured and self-administered questionnaire. Multiple linear regression technique was performed to determine the variables predicting immunization decision. The findings reflect a significant positive attitude along with insignificant risk-taking behaviour towards COVID-19 immunization decision among the general population in Bangladesh.

Pengaruh Sikap, Norma Subjektif, Religiusitas, Pengetahuan Kewirausahaan, dan Faktor Demografi terhadap Minat Berwirausaha

This study aims to identify the influence of attitude variables, subjective norms, religiosity, entrepreneurial knowledge, and demographic factors on entrepreneurial interest. The population of this study were all active students of IAIN Salatiga. While the number of samples used were 374 students. Multiple linear regression technique was applied in this study to analyze the data. The results obtained from this study are simultaneously all independent variables have a significant effect on the interest in entrepreneurship. While partially, the variables that have a positive and significant effect on interest in entrepreneurship are attitudes, subjective norms, entrepreneurial knowledge, study programs, and entrepreneurial experience. While the variables of religiosity, gender, age, entrepreneurship courses, and campus organization partially have no significant effect. The advice that can be given based on this research is that the IAIN Salatiga institution should continue to encourage students to grow interest in entrepreneurship, these efforts can be made through strengthening entrepreneurship courses and entrepreneurial training.

Kinerja Keuangan dan Return Saham Perusahaan Blue Chip di Bursa Efek Indonesia

The purpose of this study is to provide empirical evidence regarding the effect of return on assets, earnings per share, and return on equity on stock returns. This research was conducted on Blue Chip companies listed on the Indonesia Stock Exchange (IDX). The number of samples taken as many as 81 samples, with non-probability sampling method with saturated sampling technique. Data collection is done by non-participant observation. The analysis technique used is multiple linear regression technique. The results of the analysis found that return on assets, earnings per share, and return on equity had a positive effect on stock returns of Blue Chip companies listed on the IDX for the 2017-2019 period. Keywords : Stock Return; Return On Assets; Earnings Per Share; Return On Equity; Blue Chip.

Predictive modelling of arsenate (As(V)) adsorption onto surface-engineered magnetite nanoparticles

Background: Since adsorption is a complex process, numerous models and theories have been devised to gain general understanding of its underlying mechanisms. The interaction between the adsorbates and adsorbents can be identified via modelling of the adsorption data with different adsorption isotherms as well as kinetic models. Many studies are also focused on developing predictive modelling techniques to facilitate accurate prediction of future adsorption trends. Methods: In this study, a predictive model was developed based on a multiple linear regression technique using existing data of As(V) adsorption onto several coated and uncoated magnetite samples. To understand the mechanisms and interactions involved, the data was first modelled using either Temkin or Freundlich linear isotherms. The predicted value is a single data point extension from the training data set. Subsequently, the predicted outcome and the experimental values were compared using multiple error functions to assess the predictive model’s performance. Results: In addition, certain values were compared to that obtained from the literature, and the results were found to have low error margins. Conclusion: To further gauge the effectiveness of the proposed model in accurately predicting future adsorption trends, it should be further tested on different adsorbent and adsorbate combinations.

Predicting student engagement in the online learning environment

Students in the online learning who have other responsibilities of life such as work and family face attrition. Constructing a model of engagement with smallest granule of time has not been implemented widely, but implementing it is important as it allows to uncover more subtle patterns. We built a student engagement prediction model using 9 features that were significant out of 13 features to affect the levels of student engagement and emerged in the final model. The student engagement prediction model was built using non-linear regression technique from three factors: behavioral, collaboration and emotional factors across micro level time scale such as 5 minutes to identify at risk students as quickly as possible before they disengage. The accuracy of the model was found to be 83.3%. The results of the study will give teachers the chance to provide early interventions and guidelines for designing online learning activities.

PENGARUH KREDIBILITAS SELEBRITI TERHADAP MINAT BELI PRODUK TEH SIAP MINUM PADA DEWASA AWAL

Celebrities, especially those who appointed to promote certain products must have high credibility in order to effectively influence consumer purchase intentions and purchase decisions. Celebrity’s credibility is the ability of celebrities to convince consumers and create effective promotions to increase consumer purchases of certain products. Purchase intention is a measurable psychological drive in an individual to determine the possibility of someone buying a product/service. This study aims to examine the effect of celebrity’s credibility on purchase intention for ready-to-drink tea products in early adulthood. This study involves 436 participants consisting of 10 men and 426 women. This research uses quantitative research methods with sampling techniques that are non probability sampling. The measuring instruments used are The Source Credibility Scale (Ohanian, 1990) adapted by Stephanie et. al (2013), Purchase Intention Scale by Osei-frimpong (2019). The results of data analysis used a simple linear regression technique whose regression equation was Celebrity’s Credibility = 3,416 + 0,623 Purchase Intention, R2 = 38,7% with p = 0,000 < 0,05. These results indicate that celebrity’s credibility affects purchase intention with a determination (R2) 38,7. In other words, the celebrity’s credibility influences purchase intention in ready-to-drink tea products for early adulthood. Selebriti, terutama yang ditunjuk untuk mempromosikan produk tertentu harus memiliki kredibilitas yang tinggi agar dapat dengan efektif memengaruhi minat beli konsumen. Kredibilitas selebriti merupakan kemampuan selebriti untuk meyakinkan konsumen dan membuat promosi yang dilakukan efektif untuk meningkatkan pembelian konsumen terhadap produk tertentu. Minat beli adalah dorongan psikologis pada individu yang dapat diukur untuk mengetahui kemungkinan seseorang untuk membeli suatu produk atau jasa. Penelitian ini bertujuan untuk menguji pengaruh kredibilitas selebriti terhadap minat beli produk teh siap minum pada dewasa awal. Penelitian ini melibatkan 436 partisipan yang terdiri dari 10 laki-laki dan 426 perempuan.Penelitian ini menggunakan metode penelitian kuantitatif dengan teknik sampling yaitu non probability sampling. Alat ukur yang digunakan adalah The Source Credibility Scale (Ohanian, 1990) yang diadaptasi oleh Stephanie et.al (2013) dan Purchase Intention Scale oleh Osei-frimpong (2019). Hasil analisis data menggunakan teknik regresi linear sederhana yang persamaan regresinya yaitu Kredibilitas Selebriti = 3,416 + 0,623 Minat Beli, R2=38,7% dengan p = 0,000 < 0,05. Hasil ini menunjukkan bahwa kredibilitas selebriti mempengaruhi minat beli dengan determinasi (R2) sebesar 38,7. Dengan kata lain, kredibilitas selebriti mempengaruhi minat beli produk teh siap minum pada dewasa awal.

Regularization algorithm and its implementation in general systems theory and its implications in physics

In recent years a new physics known as complexity has emerged, whose fundamental structure is based on the general theory of systems or the so-called mathematical biology. There, problems arise with a large number of variables on which decisions must be made, and it is important to have selection techniques that are robust and efficient, In this research work, a couple of techniques are presented that will serve the aforementioned purpose; these are: the Lasso regularized linear regression technique and the Ridge regression technique, the latter with the slight difference in the penalty, since it makes use of a different rule than the Euclidean one, which implies very different consequences. One of these techniques was applied in a clinical problem and corresponds to the study of patients with diabetes. With this objective, the algorithm of descent of coordinates was implemented for the type of regularization loop and the analytical solution of regression of ridges. In addition, Kernels was used for the implementation of the regularized vector machine. The above algorithms were compared with the Ridge regularization and the Euclidean regularized vector machine. These types of techniques are common in physics, and it is vitally important to be able to implement other types of rules for a problem in which the choice of them can be simplified.