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Data : Journal of Information Systems and Management
Published by PT Penerbit Ilmiah Indonesia
ISSN : -     EISSN : 30310008     DOI : https://doi.org/10.61978/data
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
Data : Journal of Information Systems and Management with ISSN Number 3031-0008 (Online) published by Indonesian Scientific Publication, is a leading open-access and peer-reviewed scientific journal dedicated to publishing high-quality research in the field of information systems and management. Since its establishment, Data has been committed to advancing knowledge and understanding of the integration between information systems and management in a global context. The journal publishes research articles, technical papers, theoretical studies, and case studies that undergo rigorous peer review to ensure the highest standards of academic integrity and originality.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 5 Documents
 1 
Search results for , issue "Vol. 2 No. 2 (2024): April 2024" : 5 Documents clear
The Role of Mobile Banking In Improving Service Efficiency To Customers In The Digital Era Helmi, Sulaiman; Adelia; Trisninawati; Rianawati, Dian; Wedadjati , Ratna Sesotya
Data : Journal of Information Systems and Management Vol. 2 No. 2 (2024): April 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/data.v2i3.285

Abstract

This paper explores the impact of Mobile Banking services, specifically the BSB Mobile application, on customer satisfaction and operational efficiency at Bank Sumsel Babel. As Mobile Banking becomes increasingly vital in the digital era, offering greater convenience and speed, this study investigates how the BSB Mobile application affects these aspects of banking service. The research aims to evaluate the effectiveness of the BSB Mobile application in enhancing customer service and reducing operational errors. It addresses a gap in existing literature by providing fresh insights into the specific challenges and benefits experienced by Bank Sumsel Babel. To achieve this, a qualitative research approach was employed, involving three months of direct observation at the Bank Sumsel Babel Tanjung Raja Sub-Branch, complemented by in-depth interviews with both staff and customers. Additionally, a thorough literature review was conducted to support the analysis. The findings reveal that the BSB Mobile application positively influences customer satisfaction by decreasing wait times and improving transaction accuracy. However, it also highlights persistent issues with network connectivity and application usability. The study concludes that while the BSB Mobile application contributes to improved customer satisfaction and operational efficiency, continuous enhancements are required to address these technical challenges. The main implication of this research is that Mobile Banking can significantly boost banking operations, provided that technological reliability and effective user training are prioritized to overcome existing limitation.
Classification Of South Sumatra Songket Woven Fabric Motifs Using Deep Learning Alika, Aka; Mirza, ⁠Haidar; Andri; ⁠Ferdiansyah
Data : Journal of Information Systems and Management Vol. 2 No. 2 (2024): April 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/data.v2i3.313

Abstract

The application of a Deep Learning model to classify songket woven cloth motifs from South Sumatra reflects the richness of local culture through its diverse motifs. The main challenge faced is the difficulty in distinguishing various songket motifs due to their complexity and wide variety of designs. This research aims to: (1) develop an effective Deep Learning model for classifying songket woven fabric motifs, (2) measure the accuracy and performance of the model, and (3) assess the implications of this model for cultural preservation and the textile industry. The research method employs the SEMMA (Sample, Explore, Modify, Model, and Assess) approach in the data mining process, which includes five phases: data sampling, data exploration, data modification, data modeling, and model evaluation. Songket motif image data is collected, processed, and modeled using the YOLO (You Only Look Once) algorithm for accurate predictions. Data analysis is conducted to assess the model's accuracy, precision, recall, and F1-score. The research results show that the developed system is capable of accurately classifying songket motifs, confirming the effectiveness of Deep Learning models in overcoming this challenge. These findings have significant implications for cultural preservation and textile industry applications, highlighting the potential of Deep Learning technology in processing and analyzing traditional textile data.
Cybersecurity Challenges and Investment in Indonesia Purwandari, Nuraini
Data : Journal of Information Systems and Management Vol. 2 No. 2 (2024): April 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/data.v2i2.696

Abstract

Indonesia’s digital economy has expanded rapidly, but this growth has been accompanied by a sharp rise in cyber threats, particularly ransomware and phishing attacks. Despite this, national cybersecurity investment remains critically low, at just 0.02% of GDP—among the lowest in ASEAN. This study analyzes the structural misalignment between the increasing threat landscape and the country’s financial and policy responses. Using secondary data from 2020 to 2023, it examines attack frequencies, regional investment comparisons, and projected market growth. Key results indicate that while cyber incidents have escalated—from 88 million in early 2020 to 347 million in H1 2023—Indonesia's cybersecurity market is projected to grow from USD 1.07 billion in 2024 to USD 3.48 billion in 2030. However, regulatory fragmentation, limited SME readiness, and underdeveloped public-private coordination remain significant barriers. The study concludes that addressing policy fragmentation, increasing investment, and integrating SMEs into the national strategy are essential to secure Indonesia’s digital future and unlock the potential of its growing cybersecurity market.
Beyond Technology: A Narrative Review of Organizational Dynamics in IT Change Management Noviany , Henny
Data : Journal of Information Systems and Management Vol. 2 No. 2 (2024): April 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/data.v2i2.718

Abstract

This narrative review examines the organizational, technological, and human factors shaping IT-enabled change management (ITCM), with a particular focus on healthcare systems. The objective is to synthesize current evidence and highlight strategies that facilitate successful digital transformation across diverse contexts. A structured search was conducted in Scopus, Web of Science, PubMed, and Google Scholar, covering studies published between 2013 and 2023. Literature was selected based on relevance to ITCM, organizational readiness, stakeholder engagement, and implementation outcomes. A thematic analysis was applied to identify critical success factors and systemic challenges. Key findings indicate that adaptive organizational culture, strong leadership, and early stakeholder involvement are essential enablers of ITCM. Technological factors such as interoperability and system complexity remain major barriers, often compounded by user resistance. Human resource readiness—particularly digital literacy and training—emerges as a cornerstone of successful adoption. Comparative insights reveal that high-income countries benefit from robust infrastructure and governance, while low- and middle-income countries face persistent barriers related to limited resources and uneven capacity. The review concludes that ITCM requires integrated and context-sensitive strategies that combine technological innovation with organizational adaptability and human capital development. Practical implications include leadership training, cross-functional engagement, and targeted capacity building. Future research should employ longitudinal and system-dynamics approaches to assess sustainability and unintended consequences. This review contributes an integrative framework for understanding ITCM across organizational, technological, and socio-economic dimensions, offering insights for both policy and practice.
Engagement at Scale: Experimental Evidence on Interactivity and Purchase Behavior in Indonesia’s Live Commerce Ecosystem Hanifah, Anisah Mutiara Zahra; Marthalia, Lia; Sapri
Data : Journal of Information Systems and Management Vol. 2 No. 2 (2024): April 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/data.v2i2.918

Abstract

This study investigates how interactivity influences consumer purchase decisions in live commerce, focusing on short video platforms in Indonesia. As digital retail rapidly expands across Southeast Asia, live commerce particularly on platforms like TikTok Shop by Tokopedia has become a dominant format for real time engagement and conversion. The objective of this research is to provide empirical evidence on the causal effects of interactivity during live shopping sessions on key performance indicators such as trust, click through rates, and paid orders. Using a randomized field experiment design, the study categorizes live sessions into three treatment groups representing different levels of interactivity (low, moderate, high). Quantitative data were collected from 90 sessions hosted by certified sellers, supplemented by post session viewer surveys. Key metrics include chat frequency, response time, Q&A participation, and viewer trust scores. Analytical techniques include regression models and mediation analysis. Results show that higher interactivity significantly enhances engagement and drives stronger outcomes at each stage of the purchase funnel. Paid order rates increased from 1.2% in low interactivity sessions to 3.6% in high interactivity sessions. Trust was identified as a statistically significant mediator between interactivity and purchase behavior, reinforcing existing digital commerce theories such as the Stimulus Organism Response (S O R) model. These findings have critical implications for platform developers, marketers, and policymakers. Optimizing live commerce features to encourage real time interaction can improve trust and conversion outcomes, particularly in culturally collectivist and regulatory sensitive markets like Indonesia. The research highlights the need for adaptive platform design and regulatory foresight to balance innovation with compliance.

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