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Jurnal Sistim Informasi dan Teknologi
Published by Asia Pacific Network for Sustainable Agriculture, Food and Energy
ISSN : 26863154     EISSN : 26863154     DOI : 10.37034
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
The Jurnal Sistim Informasi dan Teknologi (JSISFOTEK) aims to publish manuscripts that explore information systems and technology research and thus develop computer information systems globally. We encourage manuscripts that cover the following topic areas: - Analytics, Business Intelligence, and Decision Support Systems in Computer Information Systems - Mobile Technology, Mobile Applications - Human-Computer Interaction - Information and/or Technology Management, Organizational Behavior & Culture - Data Management, Data Mining, Database Design and Development - E-Commerce Technology and Issues in computer information systems - Computer systems enterprise architecture, enterprise resource planning - Ethical and Legal Issues of IT - Health Informatics - Information Assurance and Security-Cyber Security, Cyber Forensics - IT Project Management - Knowledge Management in computer information systems - Networks and/or Telecommunications - Systems Analysis, Design, and/or Implementation - Web Programming and Development - Curriculum Issues, Instructional Issues, Capstone Courses, Specialized Curriculum Accreditation - E-Learning Technologies, Analytics, Future.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
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Search results for , issue "2025, Vol. 7, No. 1" : 1 Documents clear
The Influence of Blockchain Technology and Digital Marketing in Improving Banking Services at Bank Permata Bali Keniciro Yamamoto Tanoto
Jurnal Sistim Informasi dan Teknologi 2025, Vol. 7, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

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Abstract

The Influence of Blockchain Technology and Digital Marketing in Improving Banking Services at Bank Permata Bali. This study aims to determine whether blockchain technology and digital marketing benefit from facilitating payments through digital banking, especially among Gen Z. This research method uses a quantitative research design. The data collection technique used was the Slovin Technique, and a sample of 50 respondents was used. The sampling technique used in this study uses non-probability sampling with the population size in this study taken from bank users, mainly Generation Z. The scale used is the Likert scale, the technique of data influence using Homogeneity, Heteroscedasticity, Autocorrelation, and Normality test. Classical assumptions use the validity test, Multiple linear regression, and Reliability.

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