Didi Tarmidi
Widyatama University, Bandung, Indonesia

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The effect of price and service quality on the interest in repurchasing: citylink airlines in indonesia Didi Tarmidi; Irawan Wijaya
Enrichment : Journal of Management Vol. 13 No. 1 (2023): April: Management Science And Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/enrichment.v13i1.1298

Abstract

The development of business in the Indonesian air transportation sector is an opportunity and challenge for airlines to meet aviation needs. Citilink as one of the airlines that experiences problems related to meeting aircraft occupancy due to the competition map of airlines in Indonesia is quite numerous by offering various services to get customer satisfaction so that repurchases occur, Citilink's challenge in maintaining prices and service quality so that repurchase interest can continue to increase is important. The research method used in this study is a quantitative method with a descriptive type of research. Sampling was carried out using a non-probability sampling technique used was purposive sampling with a total of 400 respondents who were users of Citilink Indonesia airlines. Meanwhile, the data analysis techniques used are descriptive analysis and multiple linear regression analysis. The results showed that the Price variable in the very good category was 85%, the Service Quality variable was already in the excellent category by 86%, and the repurchase interest variable in the very good category was 86%. Price and Service Quality had a positive and significant effect on repurchase interest with a large influence of 52.6% and the remaining 47.4% influenced by other factors that were not studied.
The effect of service innovation and e-service quality toward customer satisfaction the my-xl application in bandung city Didi Tarmidi; Athifah Salsabila
Enrichment : Journal of Management Vol. 13 No. 1 (2023): April: Management Science And Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/enrichment.v13i1.1301

Abstract

This research aims to analize however the outline of Service Innovation, E-Service Quality and Customer Satisfaction, furthermore as determine how the influence of service innovation and E-Service Quality on Customer Satisfaction. The fact that businesses are required to maintain customer satisfaction serves as the background for this research, which is informed by the ever-increasingly high expectations that consumers have of a brand or product. As one of the providers, XL must also ensure customer satisfaction by enhancing or maintaining service quality.100 people who purchased active data packages and used XL cards were included in the sample. The SPSS Ver.25 data processing system is used to perform Multiple Regression Analysis as a method of data analysis. Service Innovation and E-service Quality had a significant impact on Customer Satisfaction by 42.3%, according to the analysis's estimation. The fact that the variable E-service quality is partially demonstrated to have a greater constant than the variable Service innovation must be prioritized to obtain a more significant influence.
Big data analytics and key success factor in achieving competitive advantage and performance of small medium enterprises: literature review Didi Tarmidi; Indra Taruna; Anton Budi S; Vina Marinda S
Enrichment : Journal of Management Vol. 13 No. 1 (2023): April: Management Science And Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/enrichment.v13i1.1302

Abstract

Along with the rapid changes in technology, many small and medium-sized enterprises (SMEs) have leveraged Big Data Analytics and other factors to drive digital transformation to gain a competitive advantage and improve performance. Making smart decisions based on data will help small and medium-sized companies get through the wave toward larger investment targets. The successful implementation of Big Data Analytics and other factors depends on alignment with aspects of an organization, technology, and human resources. Identifying critical success factors (CSFs) in driving Big Data innovation is critical to addressing the challenges surrounding Big Data Analytics and its application. This study aims to examine a systematic literature review that explains the concept of Big Data Analytics and the key success factors in achieving competitive advantage and performance of small and medium-sized companies. By conducting a systematic literature review analysis for studies related to key success factors and Big Data Analytics during the research period on data needs, there were 50 sources of articles analyzed to identify the concept based on its classification. Referring to the descriptive qualitative analysis method for the selected literature section, the findings of this study succeeded in identifying 48 critical success factors from the implementation section of Big Data Analytics by proposing schemes and frameworks in 4 categories, namely: Organization, Technology, Human Resources (People) and Management Data Governance. These findings can be used as a reference for successful strategies and implementation of Big Data Analytics by formulating them into a more effective database form to improve the performance of small and medium-sized companies in achieving competitive advantage.
The effect of sales promotion and service innovation toward ovo customer loyalty Didi Tarmidi; Suci Rahmina Pratiwi
Enrichment : Journal of Management Vol. 13 No. 1 (2023): April: Management Science And Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/enrichment.v13i1.1308

Abstract

This study aims to see however the outline of sales promotion, service innovation, and customer loyalty, furthermore, as determine how the influence of sales promotion and service innovation on customer loyalty. The factors tested during this study are sales promotion and service innovation as independent variables, whereas customer loyalty could be a dependent variable. The analysis ways utilized in this study are descriptive and verification methods. The population in this study were those that used OVO services. The sampling technique used in this study is non-probability sampling and also the quantity of sample in this study is calculated by Bernoulli's formula so that the full variety is a hundred respondents. The analysis method in this study is using multiple regression analysis with the program of SPSS ver.25 for Windows. The results showed that Sales Promotion and Service Innovation affected OVO's customer loyalty. The number effect of sales promotion and service innovation toward customer loyalty is 37%.