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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
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Search results for , issue "Vol. 2 No. 4 (2024): October 2024" : 5 Documents clear
Evaluation of the Effect of Tracking System Quality on Customer Satisfaction: Evidence from Logistics Companies in Cameroon Diangha, Ngoata sylvanus; Jomi Sambilla, Jervis; Claudia Nwiyoh , Gablak
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.v2i3.286

Abstract

The purpose of this study was to analyze the role of tracking systems quality on customer satisfaction focusing on selected logistics companies in Cameroon. Specifically, it examines the influence of perceived ease of use, perceived value, and perceived usefulness on customer satisfaction. The study adopted a quantitative research design. Primary data was extracted using a self-administered questionnaire to 200 customers of logistic companies in Cameroon residing within the towns of Douala, Limbe, Buea, and Yaoundé. After cleaning the data and realizing the measurement model assessment, the regression analysis was employed to test the study hypothesis. The study findings reveal that the tracking system's perceived usefulness, ease of use, and perceived value respectively influenced logistics firms' customer satisfaction positively.  Therefore, by developing a tracking system that adds value to customers in terms of convenience, time, and cost-saving and that is easy to use, logistics managers and operators can effectively boost consumer satisfaction with their service which could lead to loyalty, referrals, and will help increase firms’ performance. The contribution of this paper is to examine a specific aspect of logistic service quality which is the tracking system service quality in Cameroon that has been given minimal attention. This is to help developers create adaptable systems, and improve customer satisfaction and loyalty
Evaluation of E-Learning Implementation During The Covid-19 Pandemic: A Case Study At Politeknik Negeri Semarang (POLINES) Indonesia Hasanudin, Mohamad; Sadida, Afiat; Widyarti, Maria Th Heni; Budiyono, Iwan; Pinandhito, Kenneth; Pradana, Bagas Putra
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.v2i4.358

Abstract

In early 2020, Indonesia, including the world, faces the massive spread of the Covid-19 virus. The spread of COVID-19 has prompted the President of the Republic of Indonesia through the minister of education to issue Circular Number 4 of 2020 concerning the Implementation of Education Policies in Emergency Times Spread of COVID-19 in a Circular It is explained that the learning process is carried out at home through online learning. This policy means changing the learning method from the majority of face-to-face to online learning. Online learning methods are new to all interested parties: teachers, students, and education management. This phenomenon encourages a study to be carried out that aims to determine the effectiveness of online learning at the Semarang State Polytechnic in achieving curriculum targets. This quantitative research begins with a review of policies and literature related to COVID-19 and online learning, which is continued by using an online questionnaire to collect data obtained from 643 student respondents and 76 lecturers in 5 departments and 18 study programs from 25 study programs in POLINES This study wanted to determine the effectiveness of online using El Nino from 1) Content, 2) Interface, 3) Feedback and assessment, 4) Convenience, 5) Interaction, and 6) Social Influence; research findings from the six variables obtained an overall average index. Which was obtained from the lecturers' respondents was 69%, while the overall average index obtained from student respondents was 73%.
Digital Leadership and IT Strategy Execution in Emerging Economies Angellia, Filda
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.v2i4.703

Abstract

Digital transformation has emerged as a critical driver for organizational success in today’s rapidly evolving technological landscape. This narrative review aims to explore how IT strategy is formulated and implemented in digital enterprises, particularly within developing countries. Using a systematic literature search across Scopus, IEEE Xplore, and Google Scholar, studies were selected based on thematic relevance, quality, and citation impact. Keywords included "IT strategy formulation," "digital transformation," and "strategy implementation," combined through Boolean operators to refine search results. The review reveals that strategic frameworks such as the Ward and Peppard model and SECI model facilitate alignment between IT and business objectives. Internal organizational factors—notably leadership, culture, and technological readiness—play a pivotal role in enabling successful strategy formulation. Externally, government policies, infrastructure availability, and stakeholder influence significantly shape implementation outcomes. Agile methodologies, data-driven decision-making, and collaborative leadership emerged as critical practices in digital strategy execution. Conversely, barriers such as resistance to change, regulatory inertia, and limited digital competencies hinder progress, particularly in SMEs and public institutions. This review highlights the need for integrative and adaptive strategies that account for socio-technical and contextual complexities. It underscores the importance of inclusive governance and policy alignment to support digital innovation. Future research should investigate underexplored regional and sectoral contexts to develop holistic frameworks that support sustainable digital transformation across diverse organizational landscapes
The Strategic Role of AI in Enhancing MIS Performance and Innovation Setiawan, Adi Wahyu; Cahya, Waskita
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.v2i4.723

Abstract

The integration of Artificial Intelligence (AI) into Management Information Systems (MIS) has reshaped organizational operations across sectors. This narrative review explores the multidimensional impact of AI on MIS by synthesizing findings from recent peer-reviewed literature. The study aimed to analyze how AI technologies enhance MIS functions, focusing on areas such as process automation, decision support, HR management, corporate learning systems, and export-oriented quality control. Literature was sourced from databases like Scopus and Google Scholar using Boolean search techniques with targeted keywords. Inclusion criteria emphasized relevance, recency, and methodological rigor. Findings indicate that AI and Robotic Process Automation (RPA) optimize operational efficiency, while AI-enhanced decision-making tools offer strategic foresight across industries. In HRMIS, AI facilitates recruitment, performance appraisal, and diversity outcomes, whereas AI-driven learning platforms improve training efficiency and employee engagement. The implementation of AI in quality control and export readiness is linked to higher compliance, predictive analytics, and competitiveness. However, challenges such as algorithmic bias, data inconsistencies, and limited transparency underscore the need for systemic readiness. Theoretical frameworks including the TOE model and RBV elucidate how internal capabilities and environmental contexts shape AI integration. The study concludes that national policies, ethical design, infrastructure development, and cross-sector collaboration are essential for maximizing AI’s potential in MIS, paving the way for responsible and inclusive digital transformation.
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.

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