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All Journal JAM : Jurnal Aplikasi Manajemen International Journal of Business, Humanities, Education and Social Sciences (IJBHES) PUBLIDIMAS
Subhan, Zhafira Nur
Unknown Affiliation
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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A MEDIATION ANALYSIS OF COGNITIVE AND AFFECTIVE CUSTOMER TRUST IN CUSTOMER LOYALTY TOWARDS E-MARKETPLACE Hendriana, Evelyn; Anjani, Siti; Dennison, Alexander; Subhan, Zhafira Nur
Jurnal Aplikasi Manajemen Vol. 20 No. 1 (2022)
Publisher : Universitas Brawijaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jam.2022.020.01.18

Abstract

Studies have shown the importance of customer trust in determining customer loyalty. While the psychological theory states that customer trust has cognitive and affective dimensions, earlier studies tended to look at it aggregately. An evaluation of the customer trust dimensions may provide a deeper understanding of the relative importance of each dimension of customer loyalty. This study looks at the roles of cognitive and affective customer trust in the context of the e-marketplace. As perceived privacy and security are still issues in the e-marketplace of developing countries, this study tries to examine the roles of cognitive and affective trust in mediating the relationships between perceived privacy, perceived security, corporate reputation, and customer loyalty. A close-ended questionnaire survey was distributed to answer the research questions. Data from 426 respondents were analyzed using PLS-SEM. The findings support the hypotheses of the interrelationship between the two dimensions of customer trust. This study also found that cognitive and affective trust mediates the relationships between corporate reputation, perceived security, and customer loyalty. However, we failed to prove the effect of perceived privacy on cognitive and affective trust.
The Impact of Cognitive and Affective Trust on Customer Loyalty in Indonesian M-Commerce Platforms Subhan, Zhafira Nur
Jurnal Internasional Bisnis, Humaniora, Pendidikan dan Ilmu Sosial Vol 7 No 1 (2025): International Journal of Business, Humanities, Education and Social Sciences
Publisher : Universitas Teknologi Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46923/ijbhes.v7i1.482

Abstract

Mobile payment (m-payment) systems have played a major role in the explosive expansion of mobile commerce (m-commerce) in Indonesia. The purpose of this study is to look into how consumer loyalty in m-commerce platforms is shaped by cognitive and affective trust. The study investigates how consumer loyalty to m-commerce platforms is impacted by the cognitive and emotive aspects of trust, which are influenced by perceptions of security, trust in m-payment systems and business reputation. 314 active users of m-commerce sites including Shopee, Tokopedia, and Bukalapak in the JABODETABEK region were given surveys as part of the quantitative research. Partial Least Squares Structural Equation Modeling (PLS-SEM) was used to examine the data. The findings demonstrate that security perceptions have a beneficial impact on m-payment system cognitive and emotional trust, which in turn raises m-commerce trust. Furthermore, customer trust in m-commerce platforms is significantly impacted by a company's reputation. The report emphasizes how crucial it is to protect security and cultivate a solid company reputation to encourage customer loyalty. These results imply that m-commerce companies in Indonesia should give equal weight to the emotional and rational aspects of trust to increase consumer loyalty, especially by enhancing perceived security and building a solid reputation for their business.
Pelatihan Pembelajaran Rancang Bangun Aplikasi Metode Segmentasi Dengan Thresholding Rosnelly, Rika; Wahyuni, Linda; Hardianto, Hardianto; Akbar, Muhammad Barkah; Daifiria; Subhan, Zhafira Nur
Publikasi Pengabdian Masyarakat Vol 4 No 1 (2024): PUBLIDIMAS Vol. 4 No. 1 MEI 2024
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/publidimas.v4i1.345

Abstract

Image processing technology has attracted human attention to be studied so that it has become a science that can be accepted and understood in everyday life. An image is a representation, likeness, or imitation of an object. The output of a data recording system can be a photo, an optical signal such as a photo, an analog signal such as an image on a TV monitor, or a digital signal that can be stored directly on storage media. One of the processes in image processing (image preprocessing). One image segmentation technique is thresholding, which uses differences in brightness or darkness to distinguish objects from the background. Thresholding is based on groupings in the histogram according to certain backgrounds or objects that can be extracted by separating the groups of the histogram. Otsu thresholding is used in a variety of applications ranging from medical imaging to low-level computer vision. The Otsu method takes an approach, namely discriminant analysis, namely determining a variable that can divide foreground and background objects. This training provides excellent benefits for students in understanding objects for applying thresholding segmentation.
Peningkatan Efisiensi Operasional WAZ-8 Laundry Melalui Pelatihan Pengelolaan Data dan Keuangan Menggunakan Microsoft Excel Thanri, Yan Yang; Riza, Bob Subhan; Iriani, Juli; Subhan, Zhafira Nur; Zaidi, Luthfi
Publikasi Pengabdian Masyarakat Vol 4 No 2 (2024): PUBLIDIMAS Vol. 4 No. 2 NOVEMBER 2024
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/publidimas.v4i2.402

Abstract

Improving operational efficiency in laundry businesses greatly depends on effective data and financial management. WAZ-8 Laundry, a growing laundry business, faces challenges in managing transaction data and finances, which are still performed manually and ineffectively. Therefore, a training program on data and financial management using Microsoft Excel was organized to enhance operational efficiency and service quality provided to customers. This training aimed to equip WAZ-8 Laundry staff with the skills to manage transaction data, financial records, and operational reports effectively using Microsoft Excel. The training covered basic Excel techniques, table creation, data processing, the use of financial formulas, as well as financial report generation and data analysis for more accurate decision-making. By leveraging Excel features such as pivot tables, charts, and formulas, participants were expected to speed up the process of financial record-keeping and analysis, thereby identifying business trends and making better plans. The training employed a hands-on approach, with participants simulating data management and financial report generation in Excel. In addition, participants were also educated on the importance of accurate and structured data management to support better decision-making in laundry operations. Evaluation results indicated that most participants showed improved understanding of Excel usage, especially in financial report creation and transaction data analysis. Evaluation was conducted through pre-tests and post-tests, along with observation during the training. Post-test results showed an average score improvement of approximately 80%, reflecting better understanding of data and financial management. Participants also demonstrated improved abilities in operating Excel features such as pivot tables and financial formulas, which were previously less understood. Therefore, this training provides a significant impact on improving the operational performance of WAZ-8 Laundry, particularly in more efficient and effective data and financial management, ultimately supporting the business's growth.
Co-Authors Akbar, Muhammad Barkah Anjani, Siti Bob Subhan Riza, Bob Subhan Daifiria Dennison, Alexander Hendriana, Evelyn Juli Iriani, Juli Mochammad Imron Awalludin Rika Rosnelly, Rika Thanri, Yan Yang Wahyuni, Linda Zaidi, Luthfi