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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. 1 (2024): January 2024" : 5 Documents clear
The Effect of Using Wordwall Game Application Media on Economics Subjects on Student Learning Outcomes at SMA Negeri 2 Sanga Desa Lestari, Ayu; Rachmawati, Diana Widh; Toyib, Muhammad
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.v2i1.126

Abstract

In this study, the problems found in the field are that the teaching and learning process is not optimal because students experience a form of learning difficulties related to characteristic, personality and study habits or students who excel below their ability level (wordwaall game). By applying synectic learning media, it is expected to overcome or at least direct adjustments to the problems faced by students. This study aims to determine the learning interest of grade XI IPS 1 students in economic growth and development at SMA Negeri 2 Sanga Desa. The method used in this study is the experimental method. Based on the results of the study, the results of the student wordwall game test showed that the average student who experienced it was 85.66% in the experimental class. In the synectic model category, the average student activity is 46.66% and in the experimental class learning outcomes students have an average Student activeness is 46.66%. The overall increase that occurred in students after applying wordwall game media synectic learning in the experimental class had an average of 85.66% or in the creteria "Improving / influential". In the results of the hypothesis carried out by researchers using a simple regression formula, this study there is an influence of wordwall games on the interest of high school students in economics subjects at SMA Negeri 2 Sanga Desa on the material of economic growth and development obtained t_(count =) 7.277>t_(table=)1.697 which means Ha is accepted while Ho is rejected. This study has an influence on other factors. Thus, this study shows that there is an influence of wordwall games on high school students' interest in economics subjects at SMA Negeri 2 Sanga Desa.
Bridging the Gap Between Policy and Practice: Evaluating Indonesia’s Cybersecurity Regulatory Framework (2020–2023) Alfath, Tahegga Primananda; Cahya, Waskita
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.v2i1.695

Abstract

Indonesia's rapid digital transformation has heightened its exposure to cybersecurity threats, prompting the introduction of several national policies aimed at enhancing cyber resilience. This study evaluates the effectiveness of three key regulations—Peraturan BSSN No.8/2020, Perpres 82/2022, and Perpres 47/2023—through a qualitative policy analysis framework. Data were drawn from national cyber incident statistics, regulatory documents, and secondary literature. Methodologically, the study applies qualitative frameworks and correlates policy timelines with cyber incident volumes between 2020 and 2023. Statistical tools, including time-series and regression analyses, are used to determine regulatory impacts on threat reduction. Findings reveal that while the regulations establish a strong structural foundation, implementation remains weak. Cyber incidents continued to rise post-regulation, and key challenges such as agency fragmentation, underinvestment (0.02% of GDP), and limited stakeholder collaboration persist. Case studies, including breaches at Dukcapil and Imigrasi, underscore the urgent need for better enforcement and inter-agency coordination. Comparative analysis with regional peers like Singapore highlights further room for improvement in governance and public-private synergy. The study concludes that Indonesia’s cybersecurity policies are directionally sound but require systemic reforms, centralized coordination, and investment scaling to achieve tangible outcomes. These insights contribute to the literature on regulatory effectiveness and cyber governance in emerging economies
The Role of Systemic Enablers in Integrating Knowledge Management for Innovation Firmansyah, Boy
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.v2i1.717

Abstract

This narrative review explores the critical intersection between Knowledge Management (KM) practices and organizational innovation. As innovation becomes a key determinant of competitive advantage in the digital economy, organizations increasingly rely on KM strategies to harness collective expertise and accelerate problem-solving. The study synthesizes peer-reviewed literature drawn from Scopus, Web of Science, and Google Scholar using targeted keywords and Boolean combinations related to KM, innovation, and organizational learning. Inclusion criteria focused on empirical and theoretical studies that directly connect KM practices with innovation outcomes across diverse sectors and geographical settings. The results reveal that communities of practice, digital knowledge platforms, and strategic alignment of KM are primary drivers of innovation. Factors such as organizational culture, leadership style, and structural flexibility significantly mediate KM effectiveness. Cross-national comparisons highlight disparities in KM integration, with institutions in technologically advanced economies showing higher maturity levels. Challenges identified include resistance to change, underdeveloped digital infrastructure, and compartmentalized organizational silos. The discussion emphasizes policy and institutional strategies to overcome systemic constraints, including fostering leadership in KM and embedding KM within cross-functional collaboration initiatives. This review underscores the strategic importance of KM in enabling sustainable innovation and recommends future research on context-specific implementation and long-term impact. It calls for broader geographic representation and multi-sectoral analysis to develop more inclusive KM frameworks responsive to global innovation demands.
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
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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