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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 43 Documents
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Data Quality as a Strategic Lever for MIS Success: Empirical Evidence from Indonesia's Digital Transformation Adnan, Andi Astinah
Data : Journal of Information Systems and Management Vol. 2 No. 1 (2024): January 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/data.v2i1.911

Abstract

In the era of digital governance, the success of Management Information Systems (MIS) hinges on the quality of data they process and deliver. Despite widespread implementation across Indonesia, many MIS initiatives fall short due to poor data quality, limiting their ability to improve decision making and organizational performance. This study investigates the extent to which data quality influences MIS success in Indonesia, using the DeLone and McLean IS Success Model as a guiding framework. A cross-sectional survey was conducted among 250 MIS users from public and private organizations across Indonesia. Data were collected using validated Likert scale instruments to measure data quality, system use, user satisfaction, and net benefits. Structural Equation Modeling–Partial Least Squares (SEM-PLS) was employed to analyze both measurement and structural models. Results reveal that data quality significantly predicts MIS success, with strong effects on system use (β = 0.58), user satisfaction (β = 0.34), and net benefits (β = 0.29). The strongest pathway was observed through the mediation of user satisfaction, indicating that improvements in data quality translate to better system engagement and higher organizational gains. Among the six measured attributes, accuracy, relevance, and consistency were the most influential. These findings reinforce the importance of institutionalizing data governance strategies such as standardized protocols, data literacy training, and role-specific accountability. Furthermore, the Indonesian context emphasizes the need for adaptive models that account for infrastructural, cultural, and political variability. Overall, data quality is a foundational determinant of MIS success, requiring technical systems, organizational commitment, capacity building, and cross-functional coordination. The study offers actionable insights for policymakers and IT leaders to promote MIS performance and public sector innovation
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.
Dark Patterns and Consumer Decision Making in Emerging Markets: Experimental Evidence from Indonesia Uceng, Andi; Hanifah, Anisah Mutiara Zahra
Data : Journal of Information Systems and Management Vol. 2 No. 3 (2024): July 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/data.v2i3.919

Abstract

The rapid digitalization of Indonesia's economy has amplified concerns over deceptive interface designs known as dark patterns. These manipulative practices undermine user autonomy and raise legal and ethical questions. This study aims to provide experimental evidence specific to the Indonesian context, examining how four prevalent dark patterns urgency cues, drip pricing, consent manipulation, and fake social proof affect user trust, decision quality, and fairness perception within local e-commerce and fintech platforms. A between subjects experiment involving 300 participants was conducted using simulated Indonesian e commerce and fintech platforms. Participants were randomly assigned to one of five interface conditions: urgency, drip pricing, consent manipulation, fake social proof, or a neutral control. Behavioral metrics such as trust, regret, choice quality, and opt in rates were measured. Digital literacy was assessed as a moderating variable. All dark pattern treatments significantly reduced user trust and increased post decision regret compared to the control group. Drip pricing produced the highest regret and lowest fairness perception, while consent manipulation yielded inflated opt in rates. Low digital literacy was associated with greater susceptibility to deception and lower detection rates. These findings align with global behavioral research and highlight the vulnerability of digitally inexperienced users. Regulatory gaps were noted in Indonesia’s legal frameworks, which currently lack operational tools for addressing interface level manipulation. Dark patterns negatively impact consumer decision making and disproportionately affect vulnerable populations. Legal frameworks must evolve to explicitly define and penalize such designs. Promoting ethical UI practices and enhancing digital literacy are essential to safeguarding consumer rights and trust in Indonesia's digital economy.
Digital Meets Distribution: Quantifying the Impact of Logistics Integration in Emerging Market Omnichannel Retail Akbariani, Nurhaliza Vania; Setiyowati, Harlis
Data : Journal of Information Systems and Management Vol. 2 No. 4 (2024): October 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/data.v2i4.920

Abstract

This study examines the impact of omnichannel logistics integration on retail service level performance in Indonesia between 2020 and 2024. Amidst rapid digital transformation in Southeast Asia, major Indonesian retailers such as AMRT, MIDI, MAPI, and LPPF have implemented innovations including store hubs, click-and-collect, and Pay & Pick services to meet evolving consumer expectations. Using firm-level quarterly panel data and employing fixed effects and event study models, the study analyzes how omnichannel logistics adoption represented by infrastructure investments and digital feature rollout affects service-level indicators such as inventory turnover, fill rate, and on-time delivery. The findings indicate that logistics integration significantly improves service metrics, with firms observing a 4–6% improvement in performance indicators within two quarters of implementation. This underscores the strategic value of aligning digital and physical infrastructure in emerging markets, offering evidence that logistics integration enhances both operational efficiency and service quality. The study contributes to both theoretical literature and practical retail strategies by framing omnichannel performance through a quantitative, data-driven lens.
Deploying Differential Privacy in Emerging Economies: Evidence from Indonesia’s Digital Commerce Sector Sellang, Kamaruddin
Data : Journal of Information Systems and Management Vol. 3 No. 1 (2025): January 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/data.v3i1.921

Abstract

The expansion of Indonesia’s digital economy has amplified the demand for privacy-preserving technologies, particularly in the e-commerce sector. This study explores the implementation of Differential Privacy (DP) to strike a balance between data utility and regulatory compliance. Through simulations involving BPS microdata, synthetic modeling via SmartNoise, and financial time series from Bank Indonesia, we applied calibrated DP mechanisms and evaluated performance using utility metrics (MAPE, MAE, AUC) across varying epsilon (ε) values. Results indicate that ε values between 1 and 3 offer optimal privacy-utility trade-offs, preserving analytical accuracy while ensuring compliance. The findings highlight SmartNoise’s usability and ISO 27559's role in promoting privacy by design. This work contributes a practical framework for DP adoption in Indonesia’s e-commerce sector, with broader relevance for Southeast Asia.
Empirical Insights into Network Modularity and Brokerage under Remote Work Conditions Angellia, Filda; Erfina
Data : Journal of Information Systems and Management Vol. 3 No. 2 (2025): April 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/data.v3i2.924

Abstract

The COVID 19 pandemic triggered a global shift toward remote work, reshaping how teams coordinate and collaborate. This study investigates the structural consequences of remote work on organizational communication networks using Social Network Analysis (SNA). Drawing on data from Microsoft 365, Slack, and GitHub, the research analyzes metrics such as modularity, E I Index, betweenness centrality, and tie churn to evaluate changes in collaboration structures. We analyzed communication patterns by building weighted interaction networks based on digital activity. These networks were generated from logs of email, chat, and code collaboration tools, structured weekly or monthly depending on platform. These findings underscore the challenges organizations face in maintaining cohesion and innovation in distributed teams. The study highlights async first communication strategies, cross team structures, and digital fluency as critical levers for network resilience. This research contributes empirical benchmarks for evaluating remote collaboration and proposes actionable metrics for organizational design in digital work environments.
Digital Reform and Civil Service Performance: Empirical Evidence from the Implementation of SIASN, MyASN, and MOLA in Indonesia Suroso, Jarot Sembodo; Barisan
Data : Journal of Information Systems and Management Vol. 3 No. 3 (2025): July 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/data.v3i3.925

Abstract

This study evaluates the impact of integrated digital personnel systems namely SIASN, MyASN, and MOLA on administrative efficiency within Indonesia’s civil service. These platforms were introduced as part of a broader e government reform initiative designed to simplify civil servant workflows, reduce delays, and improve transparency. This study specifically evaluates whether the systems shorten turnaround time (TAT) for services including promotions, retirements, and inter-agency transfers. Employing a Difference in Differences (DiD) approach, this research analyzes panel data from regional civil service offices, comparing outcomes in treated and control regions before and after the implementation of digital systems in late 2022. Data sources include timestamped service records from MOLA, performance reports (LKjIP and LAKIP), and SPBE index scores as a proxy for digital readiness. Key outcomes assessed include average TAT and the percentage of services completed within national performance benchmarks. The findings reveal a statistically significant reduction in TAT across all service categories in treated regions. Retirement processing times dropped by an average of 3.4 days, while promotion and transfer services saw reductions of 1.7 and 2.0 days respectively. The percentage of on time promotions increased by 26.4%. Results were more pronounced in regions with higher SPBE scores, underscoring the importance of institutional digital capacity. Robustness checks affirmed the reliability of the findings across various model specifications. The study concludes that digital personnel systems substantially enhance administrative performance when supported by institutional capacity and strategic implementation frameworks. These findings provide actionable insights for policymakers seeking to scale digital reforms across the public sector. By reinforcing efficiency, accountability, and responsiveness, integrated systems represent a critical step toward modernizing governance in Indonesia.
Task Aligned Technology: Enhancing Cross Unit Collaboration in Remote Work Environments Maulidiyah, Ummi Masrufah; Silvanie, Astried; Sugianto
Data : Journal of Information Systems and Management Vol. 3 No. 3 (2025): July 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/data.v3i3.1089

Abstract

The growing prevalence of remote and hybrid work models has transformed how organizations coordinate tasks and collaborate across functional units. This study investigates whether IT media fit moderates the relationship between remote work intensity and cross unit collaboration. Drawing on Media Synchronicity Theory (MST), the research posits that communication media must align with task requirements particularly synchronicity needs to enhance collaboration outcomes. A quasi experimental, longitudinal design was used, analyzing weekly team level data from digital trace logs (Slack, Microsoft Teams) and surveys assessing remote work intensity and IT media alignment. The study employed Generalized Linear Mixed Models (GLMM) with interaction terms to evaluate the moderating effect of IT media fit. Key findings indicate that remote work alone does not significantly improve collaboration metrics such as network centrality or cross functional reply rates. However, in conditions of high IT media fit, remote work intensity positively correlates with more robust cross unit collaboration. These results were robust across multiple model specifications and validated through lagged temporal analysis, bias checks, and alternative statistical techniques. This research extends MST by incorporating the emotional and contextual dimensions of digital communication tools and emphasizing the need for tool task synchronicity in remote settings. The study provides actionable recommendations for organizations, including aligning communication tools with specific task types, training teams in digital collaboration practices, and designing adaptive communication policies. As digital collaboration becomes central to modern organizational life, the strategic fit between media and task emerges as a vital determinant of remote work effectiveness.
Dynamic Capabilities in Digital Transformation: Unpacking the Mediated Effects of IS Integration on Managerial Agility and Decision Speed Ikbal, Muhammad
Data : Journal of Information Systems and Management Vol. 3 No. 4 (2025): October 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/data.v3i4.926

Abstract

This study examines how information system (IS) integration affects managerial decision speed in Indonesian public and private sector organizations. Using survey data from 185 organizations and structural equation modeling, we test a mediation model involving system quality, organizational agility, and big data analytics capability (BDAC). Results show that IS integration directly accelerates decision speed and indirectly strengthens it through the three mediators. Private sector firms benefit more due to higher digital readiness and flexible structures, while environmental turbulence further shapes outcomes. The study contributes by extending IS success theory with dynamic capabilities and highlighting sector-specific strategies for digital transformation. Findings emphasize that successful digital transformation requires not only technical solutions but also cultural, structural, and strategic alignment.
Standardizing UX Dashboards: A Framework Integrating Usability Metrics, Benchmarks, and Glossaries for Managerial Insight Prasetyo, Muhammad Teguh; Rokhman, Bagus Insanu
Data : Journal of Information Systems and Management Vol. 2 No. 1 (2024): January 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/data.v2i1.927

Abstract

User experience (UX) dashboards serve as essential tools for translating complex digital interaction data into strategic business insights. This study aims to construct a comprehensive dashboard framework by integrating international usability standards, validated public benchmarks, and a structured glossary of UX metrics. Drawing upon ISO 9241 11, ISO/IEC 25010, the HEART framework, and benchmark data from sources like CrUX, Mixpanel, and Baymard Institute, the proposed model categorizes UX metrics into subjective (e.g., SUS, UMUX Lite), behavioral (e.g., DAU/MAU), and technical (e.g., LCP, INP, CLS) dimensions. The study applies a structured classification of metrics grounded in usability standards and validated benchmarks. Key findings highlight benchmark and glossary tables that consolidate formulas, interpretation guidelines, and sector averages. For instance, SUS scores above 68 and UMUX Lite above 70 indicate acceptable usability, while Core Web Vitals thresholds remain critical. The framework offers practical guidance for consistent and real-time UX evaluations and supports future empirical validation.

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