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Integration Supply Chain Management, Customer Rela-tionship Management and Accounting Information Systems based Machine Learning to Enhance the Competitive Ad-vantage of MSMEs Dony Firdaus; Zainal Hasibuan; Agus Nursikuwagus; Wartika Wartika
Information System Analysis, Design and Development Vol. 1 No. 4 (2026): October: Information System Analysis, Design and Development
Publisher : Asosiasi Pengelola Jurnal Informatika dan Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research examines the integration of Supply Chain Management (SCM), Customer Relationship Management (CRM), and Accounting Information Systems (AIS) based on Machine Learning (ML) to enhance the competitive advantage of SMEs, focusing on three questions: (RQ1) the relevant integration architecture, (RQ2) the integration mechanisms, and (RQ3) its impact on competitiveness. The study uses a Systematic Literature Review (SLR) with the PRISMA 2020 method and bibliometric analysis thru Biblioshiny on Scopus-indexed publications from 2020 to 2025. From the initial 2,923 documents, after deduplication, title/abstract screening, and full-text eligibility, 255 articles were designated as the corpus for analysis. The mapping results show rapid growth (annual growth rate of 44.35%) and a concentration of publications in 2023–2024, indicating the topic of intelligent system integration for SMEs as an emerging research front. The thematic and co-occurrence mapping confirms the interconnection of supply chain, customer/marketing, accounting, and AI/ML themes, with the dominant central outcomes being business/firm/financial performance, competitiveness, and competitive advantage. However, the distribution of domain combinations shows that research is still dominated by single domains, making the simultaneous integration of SCM, CRM and AIS based ML a major gap. The study concludes the need for a modular, cost-effective, and easily adoptable integration architecture, with a focus on data standardization, lightweight cloud modules, and strengthening the competencies of MSME actors, as well as encouraging further research for implementable artifacts and more measurable impact evaluations.
Conversational Executive Information System in Higher Education Institution: A Systematic Literature Review Andri Heryandi; Zainal Arifin Hasibuan; Bobby Kurniawan; Sri Supatmi
Information System Analysis, Design and Development Vol. 1 No. 3 (2026): July: Information System Analysis, Design and Development
Publisher : Asosiasi Pengelola Jurnal Informatika dan Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66472/isadd.v1i3.412

Abstract

Higher education management is evolving from functionally isolated information systems toward integrated and augmented intelligence frameworks. While dashboard-based Executive Information Systems (EIS) effectively support routine reporting, they remain limited in contextual awareness and analytical capability for complex strategic decision-making. This study aims to explore the evolution of Executive Information Systems in higher education toward a conversational paradigm by identifying the limitations of conventional EIS and examining executive information needs and interaction patterns. This research employs a Systematic Literature Review (SLR) approach to identify, evaluate, and synthesize relevant peer-reviewed studies, following a structured protocol that includes the definition of research questions, database selection, inclusion and exclusion criteria, and systematic analysis. The selected literature focuses on Executive Information Systems, agent-based architecture, Large Language Model (LLM) integration, and augmented intelligence approaches that combine data-driven and model-based techniques. The findings reveal that existing EIS implementations are predominantly constrained by static dashboards and limited interaction mechanisms. The analysis further highlights emerging trends in conversational interaction, intelligent data processing, and augmented analytics, as well as key technological, architectural, security, and organizational considerations influencing the adoption of conversational approaches. This study demonstrates that a conversational paradigm offers a promising direction for advancing Executive Information Systems in higher education by enhancing executive access to contextualized information and supporting more effective strategic decision-making.
Marketing management information system as a sales in-crease strategy in the digital era Endri Susanti; Bonita Misellia; Leonel Hernandez Collante
Information System Analysis, Design and Development Vol. 1 No. 4 (2026): October: Information System Analysis, Design and Development
Publisher : Asosiasi Pengelola Jurnal Informatika dan Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66472/isadd.v1i4.419

Abstract

The digital era has transformed the traditional marketing paradigm into information technology-based marketing that is fast, efficient, and responsive to consumer needs. Marketing Management Information Systems (MIS) are key to strategic marketing decision-making and sales growth in the digital era. This study aims to examine the role of MIS in digital marketing strategies, how digital marketing is implemented to increase sales, and the challenges organizations face in integrating information systems with their marketing strategies. The research method is a literature review of relevant scientific journals and articles in the fields of digital marketing and information management. The results show that proper MIS implementation can improve marketing effectiveness, consumer data optimization, marketing analytics, and digital marketing strategy planning, thereby contributing to increased sales in the digital era.
Information Systems Management in the Era of Intelligent Decision-Making: A Systematic Review of Multi-Criteria Approaches Topan Onassis; Hamdani Hamdani; Herry Ramadhani
Information System Analysis, Design and Development Vol. 1 No. 3 (2026): July: Information System Analysis, Design and Development
Publisher : Asosiasi Pengelola Jurnal Informatika dan Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66472/isadd.v1i3.454

Abstract

Abstract: The development of digital technology in the Industry 4.0 era has driven the transformation of information management towards intelligent decision-making systems. Decision Support Systems (DSS) are important components that help organizations analyze complex data and make optimal decisions. However, increasing data complexity, the integration of intelligent technologies, and the need for multicriteria analysis pose new challenges in the development of such systems. This study aims to systematically examine the development of management information systems in supporting intelligence-based decision-making, with a focus on hybrid models, artificial intelligence-based approaches, and multicriteria decision-making methods. The methods used include a systematic literature review (SLR) following the procedure developed by Kitchenham. This study analyzes the scientific literature on SPK, artificial intelligence, big data analytics, and multicriteria decision-making methods, including AHP, ELECTRE, and fuzzy logic. The results of the study show that integrating artificial intelligence with a multicriteria decision-making method can increase accuracy, flexibility, and the adaptive system's information management capabilities across sectors such as manufacturing, health, and supply chain management. In addition, a hybrid approach that combines data analytics, computational intelligence, and mathematical decision models is more effective in the face of complexity when making modern decisions. Research. This contributes to the development of intelligence based on system information management and provides direction for future research on integrating intelligent technology into decision-making for system support. Keywords: system information management; system supporters decision; artificial intelligence; multicriteria decision making; Industry 4.0; hybrid decision model; big data analytics
User Experience and Interaction Design Evaluation of Immersive Virtual Reality Interfaces for 3D Data Visualization in Complex Information Environments Bentar Priyopradono; Jan W. Hatulesila
Digital Multimedia and Visualization Technology Vol. 1 No. 1 (2026): March: Digital Multimedia and Visualization Technology
Publisher : Asosiasi Pengelola Jurnal Informatika dan Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66472/dimuvi.v1i1.42

Abstract

The increasing volume and complexity of data have made traditional 2D visualization methods insufficient for effectively exploring and understanding high-dimensional datasets. Immersive Virtual Reality (VR) presents a promising solution by providing an interactive 3D environment that enhances spatial understanding, task efficiency, and user satisfaction. This research aims to evaluate the user experience (UX) and interaction design quality of immersive VR interfaces for 3D data visualization in complex environments. The study employs a mixed-methods approach, combining usability testing, UX questionnaires, and task-based performance analysis. Participants interacted with VR prototypes designed to visualize complex data and were assessed on their ability to manipulate and explore the data efficiently. The findings show that immersive VR interfaces significantly improve spatial comprehension, reduce cognitive load, and increase task performance efficiency compared to traditional 2D systems. Additionally, user satisfaction was notably high, with participants appreciating the intuitive and engaging interaction methods. The study concludes that immersive VR can provide substantial benefits in real-world data visualization applications, particularly in domains requiring the exploration of complex and high-dimensional data. However, further research is needed to optimize VR interfaces and address challenges such as motion sickness and interaction complexity.
Evaluasi Information Gain pada Random Forest, Decision Tree, dan KNN Klasifikasi Tanaman Dina Andayati; Suraya; Muhammad Sholeh; Suparyanto
Jurnal Informatika Komputer, Bisnis dan Manajemen Vol 24 No 3 (2026): September 2026
Publisher : LPPM STMIK El Rahma Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61805/fahma.v24i3.262

Abstract

Selecting suitable crop types based on soil and environmental conditions is essential for improving agricultural productivity. Machine learning enables crop classification using soil and climate characteristics, but using all features may increase model complexity without necessarily improving performance. This study analyzes the effect of Information Gain-based feature selection on Random Forest, Decision Tree, and K-Nearest Neighbors (KNN) for crop classification. The farming.csv dataset contains 2,200 samples, seven input features—nitrogen (N), phosphorus (P), potassium (K), temperature, humidity, pH, and rainfall—and 22 crop classes. The experiment employed an 80:20 train-test split with random_state 42. Feature selection using mutual_info_classif with a threshold >1.0 reduced the features to six: humidity, K, rainfall, P, temperature, and N. Model performance was evaluated using accuracy, precision, recall, and F1-score. Using all features, Random Forest, Decision Tree, and KNN achieved accuracies of 99.32%, 98.64%, and 97.05%, respectively. After feature selection, Random Forest and Decision Tree achieved 99.09%, while KNN remained at 97.05%. These results indicate that Information Gain can reduce the feature set by one feature while maintaining nearly unchanged classification performance.
USER-CENTRED INTERFACE DESIGN FOR AN AUGMENTED REALITY INFORMATION SYSTEM AT LEMBANG PARK & ZOO Mario; Tiara Radinska Deanda; Rully Sumarlin; Muhammad Adharamadinka
Desain Komunikasi Visual, Manajemen Desain dan Periklanan (Demandia) Vol 11 No 2 (2026): demandia - Jurnal Desain Komunikasi Visual, Manajemen Desain dan Periklanan
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/demandia.v11i2.10475

Abstract

Lembang Park & Zoo serves as both a wildlife conservation facility and an educational tourism destination. To support visitor education, the zoo currently utilizes digital and printed informational media. However, printed media present sustainability challenges due to paper consumption and waste generation, while also limiting the flexibility of information delivery. Augmented reality (AR) offers the potential to provide a more sustainable and interactive digital information medium, although its effectiveness depends on the design of an intuitive and user-centred interface. Therefore, this study aims to design a user interface for an AR-based information system at Lembang Park & Zoo based on visitors' needs and interaction preferences. This study employed a qualitative research approach through field observations and semi-structured interviews with zoo visitors to identify user requirements, information needs, and interaction patterns. The collected data were analysed descriptively to identify key themes that informed the interface design process. The findings indicate that visitors require a simple, intuitive, and visually engaging interface with clear navigation and contextual information that can be easily accessed during their visit. These findings were translated into user interface design recommendations for an AR application intended to support digital information delivery and provide a foundation for future implementation and evaluation in zoological education environments.
The Effect of Compensation and Work Environment on Job Satisfaction at an Information Technology Company, CV. Abhinaya Indo Group, In Mataram City Wahyu Wahyu Karisma; Serip Sarifudin
Journal of Accounting, Management, and Economic Development Vol. 2 No. 2 (2026): September, 2026
Publisher : CV. Abhinaya Indo Group

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Abstract

This study examines the effect of compensation and work environment on employee job satisfaction at CV. Abhinaya Indo Group, a technology-based service company in Mataram City. The originality of the study lies in examining these two factors simultaneously in a technology information service context, where prior studies identified different results across organizational settings. The study employed a quantitative associative design. The population consisted of 63 employees across Abhinaya Techno, Abhinaya Publisher, and Abhinaya Creative, and all employees were included through a census technique. Primary data were collected using questionnaires and supported by semi-structured interviews and documentation. The data were analyzed using multiple linear regression with IBM SPSS Statistics 26. The results show that the regression model is feasible (F = 25.717; p < 0.001). Compensation has a positive and significant effect on job satisfaction (t = 4.142; p < 0.001), while work environment also has a positive and significant effect (t = 4.083; p < 0.001). The coefficient of determination is 0.662, indicating that the two predictors explain 66.2% of the variance in job satisfaction. The findings imply that management should maintain fair compensation and a supportive work environment, while continuously evaluating benefits and work facilities.
TALENT QUALITY MONITORING EXECUTIVE INFORMATION SYSTEM PT. SURVEYOR INDONESIAN AT JAMBI REGION WITH GENERATIVE AI INTEGRATION Fajri Arvandi; Sukma Puspitorini; Ahmad Husna Ahadi
JOISIE (Journal Of Information Systems And Informatics Engineering) Vol. 10 No. 1 (2026)
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/joisie.v10i1.6072

Abstract

Surveyor Indonesia for the Jambi Province Region face obstacles in monitoring the performance and quality of talent because data management is still carried out manually using Microsoft Excel. This research aims to develop the Talent Monitoring Executive Information System (TARING-EIS) application to facilitate the monitoring and evaluation of talent competencies by the human resource (HR) department and company executives. The approach used is a case study with descriptive analysis through observation, interviews, and documentation studies. Talent competencies are assessed based on five main aspects, namely morals, leadership, experience, hard skills, and soft skills. System input data includes user data (talent and executive), internal event data, certification data, and individual ability data. The main processes in the system include talent data management, event management and certification. The system output is in the form of an interactive dashboard that displays event information, attendance, leaderboard points, and various employee performance visualizations. The system was developed using Svelte, Hono.js, and PostgreSQL, and integrates Generative AI as an internal chatbot that helps provide information related to the company and employee self-development. The results of the implementation of 20 respondents showed a user satisfaction level of 89% (4.47/5.00) based on the End User Computing Satisfaction (EUCS) test, indicating that TARING-EIS is effective and efficient in supporting the digitalization of talent management.
Building Information Modelling: Recommendations for Mitigating Post-Construction Failure of Kediri City Square in The Perspective of Regional National Resilience Trias Nurhasanah; Bunga Hidayati; Tjahjanulin Domai
International Journal of Educational Review, Law And Social Sciences (IJERLAS) Vol. 6 No. 5 (2026): on Progress
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/ijerlas.v6i5.5696

Abstract

This study is driven by the governance dynamics of regional infrastructure in the 2023 Kediri City Square revitalization project, which offers valuable insights into the complexities of contract management and construction dispute resolution.Theobjective of this research is to explore the anatomy of project implementation challenges, examine the legal dispute processes up to the Supreme Court level, and evaluate the urgency of implementing Building Information Modelling (BIM) as a strategy for strengthening future regional governance and resilience.The research methodology employs a descriptive qualitative approach through a case study. Data were gathered through in-depth interviews with relevant stakeholders and documentary studies of Supreme Court Ruling Number 1333 B/Pdt Sus-Arbt/2024, followed by analysis using NVivo 12 Plus software.The findings indicate that the primary challenges stemmed from limitations in real-time technical and administrative information synchronization, leading to disparities in progress recognition and technical quality standard fulfillment. The study concludes that transitioning to BIM methodology supported by a Common Data Environment (CDE) serves as a strategic and proactive instrument to create a "single source of truth." The implementation of this technology is expected to mitigate administrative risks, enhance public transparency, and reinforce the fiscal resilience of local governments in achieving sustainable infrastructure development.

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