http://repository.president.ac.id/xmlui/handle/123456789/3907 2026-06-12T14:00:58Z 2026-06-12T14:00:58Z Genoveva Ahyadi, Yasfira Siti Adira Ariestiningsih, Eka Srirahayu http://repository.president.ac.id/xmlui/handle/123456789/13887 2026-05-12T07:26:49Z 2021-01-01T00:00:00Z

MILLENNIALS PURCHASE DECISION IN DIGITAL MARKETPLACE DURING THE COVID-19 PANDEMIC Genoveva; Ahyadi, Yasfira Siti Adira; Ariestiningsih, Eka Srirahayu The expansion of online shopping actions has also grown considerably alongside the advancement of the internet, transforming several direct transaction activities. This concept is in line with the current pandemic circumstance where there are restrictions of going outside in crowded places, thus, digital marketplace became an alternative for individuals to fulfil their needs. As a result, many of the digital marketplace or e-commerce compete with each other in fulfilling the needs of customers. Thereby, this study aimed to investigate the elements which may affect the buying decisions in the Marketplace through the customer satisfaction as the intervening variable. This study employs non-probability with purposive sampling, focused on the millennials customers who ever ordered in Marketplace at least one time in the COVID-19 condition. The number of samples gained in this study are 165 participants which equally involved in responding the questionnaire. The approach used this study is variance-based Structural Equation Modeling (SEM) evaluation, specifically Partial Least Square (PLS), for the ten proposed hypotheses, there are two denied hypotheses obtained from data analysis assessed through smartPLS 3.0, which refused the hypothesis 1, ease of use on purchase decision, and hypothesis 2, sales promotion on purchase decision, since each of them generated a t-value under 1,96. Meanwhile, the eight other hypotheses supports this study, which generated t-value above 1.96.

2021-01-01T00:00:00Z Genoveva http://repository.president.ac.id/xmlui/handle/123456789/13886 2026-05-12T07:23:26Z 2015-01-01T00:00:00Z

ANALYZING OF CUSTOMER SATISFACTION AND CUSTOMER LOYALTY BASED ON BRAND IMAGE AND PERCEIVED SERVICE QUALITY Genoveva Motorcycles market in Indonesia has increased an average of 6.76% per year. However, growth in the number of motorcycles is not matched by the growth of the number of workshops. Motorcycle repair shop in Indonesia consists of two types: public workshops and workshop by sole agent/dealer. Workshops by sole agent are expected to provide standard services as they relate to the brand image and service quality. Based on the results of a pre-survey of consumer workshop Yamaha in Bekasi, there are indications that consumers are not satisfied with the Yamaha workshop in Bekasi, this can be seen from the complaint that are not well served, waiting time is relatively long, the unavailability of certain spare parts and liabilities wearing the official Yamaha oil. Consumer dissatisfaction resulted in consumer disloyal, which moved to another workshop, the consumer is interested in the promotion conducted another workshop and tends not to give recommendation to others. Based on these problems, the objective of this research was to determine customer satisfaction and loyalty based on brand image and perceived service quality. Research data collection by using a questionnaire distributed to a sample of 355 respondents from five Yamaha workshops in Bekasi. Data were analyzed by using SPSS 2.0 to test the validity and reliability of the questionnaire. After a valid and reliable questionnaire, questionnaires were returned distributed to respondents, and questionnaire data were analyzed using LISREL 8.7. Based on the analysis of data, it can be concluded that from the seven hypotheses, five of them are significant hypotheses.

2015-01-01T00:00:00Z Emerald, Trecy Genoveva http://repository.president.ac.id/xmlui/handle/123456789/13885 2026-05-12T07:21:32Z 2014-01-01T00:00:00Z

ANALYSIS OF PSYCHOLOGICAL WELL-BEING AND JOB SATISFACTION TOWARD EMPLOYEES PERFORMANCE IN PT ARISTO SATRIA MANDIRI BEKASI, INDONESIA Emerald, Trecy; Genoveva Automotive industry that creates dies and precision part plays crucial roles in Indonesian economy development and becomes fundamental element for the development. PT Aristo Satria Mandiri is one of company that engages in dies and precision part making for automotive sector. Causing of the rapid growth business and AFTA issue, in this situation understanding the quality of employee is necessary to set goal and strategy for improvement of the employee performance. It is required psychological analysis that consists of Psychological Well-Being Factor and Job Satisfaction Factor. In this quantitative research method analysis is being used. All data presented in detail analysis in order to give the completely clear idea, systematical description, and fact according to those correlation factors. The company develops by many factors, but the most crucial things as a manufacturing company is improving the human resource planning. To plan the human resource, maintain the psychological well-being and increase the job satisfaction has been approve to increase performance and productivity in that company. As for the result by several method, shows that the Psychological Well-Being and Job Satisfaction in PT Aristo Satria Mandiri has correlation with the Job Performance amounted to 20.8%. However, Psychological Well-Being has no significant effect to the Employee Performance and needed an improvement, and the Employee Satisfaction in the company is high and has significant effect in the role of Employee Performance.

2014-01-01T00:00:00Z Sitompul, Erwin Anggraini, Lydia Turnip, Arjon http://repository.president.ac.id/xmlui/handle/123456789/13882 2026-05-07T05:38:23Z 2024-01-01T00:00:00Z

MODELING OF MAGNETORHEOLOGICAL DAMPER USING MULTIPLE ARTIFICIAL NEURAL NETWORKS FOR FUZZY CONTROL DESIGN OF A SEMI-ACTIVE SUSPENSION SYSTEM Sitompul, Erwin; Anggraini, Lydia; Turnip, Arjon Suspension is a very important part of the functionality of a car. It supports the comfort of the passengers and can be used to improve the car's stability. If a magnetorheological (MR) damper is used, the damping performance can be adjusted according to the road condition. In this research, an attempt to model an MR damper using multiple artificial neural networks (ANNs) was conducted. The measurement data was obtained by using a damper dynamometer. Eight measurements were conducted to cover the coil current range between 0 and 1,400 mA. The MR damper model was then integrated into the semi-active suspension of a quarter-car model. Furthermore, the fuzzy logic controller (FLC) design for the semi-active suspension system was conducted. This artificial intelligence control deployed a novel approach in using the frequency content of the road surface as the input. The control scheme was tested by giving a sinusoidal bumpy road and a pseudo-random bumpy road as the input to the quarter-car model. The FLC performed well and was able to reduce the transmitted excitation from the road to the car chassis.

2024-01-01T00:00:00Z