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International Journal of Enterprise Modelling
Published by International Enterprise Integration Association
ISSN : 16939220     EISSN : 29878713     DOI : https://doi.org/10.35335/emod
Core Subject : Economy, Science, Education, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Library & Information Science Mathematics Transportation
The International Journal of Enterprise Modelling serves as a venue for anyone interested in business and management modelling. It investigates the conceptual forerunners and theoretical underpinnings that lead to research modelling procedures that inform research and practice.
Arjuna Subject : Matematika - Matematika Terapan
Articles 137 Documents
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Strategies for fostering national defense awareness in Indonesia: analysis of the 2022–2024 National Defense Index Anton Nugroho; H.A Danang Rimbawa; Danny Setyowati; Sovian Aritonang
International Journal of Enterprise Modelling Vol. 20 No. 1 (2026): January: Enterprise Modelling
Publisher : International Enterprise Integration Association

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/int.jo.emod.v20i1.171

Abstract

Strategic geopolitical shifts, digital disruption, and the rise of non-military threats require Indonesia’s national defense policy to move beyond normative and ceremonial approaches toward adaptive and measurable governance. This study analyzes the effectiveness of the National Defense Awareness Development Policy (PKBN) by examining regulatory coherence, cross-sectoral governance, and the role of the National Defense Index (IBN) as an evaluation instrument. Using a convergent mixed-methods design, this research integrates qualitative regulatory analysis with quantitative comparative analysis of IBN data from 2022 and 2024. The findings indicate that although PKBN has a relatively comprehensive legal foundation, its implementation remains administratively oriented and weakly integrated across actors. The national IBN score shows relative stability with a marginal increase, reaching 3.50 in 2024, yet significant disparities persist across regions and dimensions, particularly in Love for the Homeland (CTA) and Initial Defense Capability (KAB), with weaker performance observed in Papua and Southeast Sulawesi. These results demonstrate that IBN can function not only as an aggregate measurement tool but as a policy compass linking inputs, processes, and outcomes when supported by structured performance indicators and feedback mechanisms. Strengthening network-based governance, digitized evaluation systems, and differentiated regional interventions is therefore essential to transform PKBN into a measurable and adaptive instrument of national resilience toward Indonesia Emas 2045.
Model of the Impact of Knowledge Management, Innovation, and Competitiveness on the Performance of Technical Vocational Higher Education Rizqa Ula Fahadha; Muhammad Syamsul Maárif; Budi Yulianto
International Journal of Enterprise Modelling Vol. 20 No. 2 (2026): May: Enterprise Modelling
Publisher : International Enterprise Integration Association

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/int.jo.emod.v20i2.134

Abstract

This research investigates the impact of knowledge management, competitiveness, and innovation on the performance of civil servant personnel within the Applied Undergraduate Program at T University. Driven by fluctuating performance outcomes (2018–2023) and the professionalism mandates of Law Number 5 of 2014, this study addresses a critical gap by analyzing the specific mediating mechanisms of performance in technical-vocational higher education. Using a census method, data were collected between August and October 2024 through interviews with assessors and managers, complemented by objective performance appraisals from 2023. Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS revealed that knowledge management significantly enhances innovation and competitiveness. Furthermore, innovation significantly drives personnel performance, whereas the direct effects of knowledge management and competitiveness were insignificant. Indirectly, knowledge management improves performance solely through innovation, acting as a mediator rather than through competitiveness. The novelty of this research lies in empirically demonstrating that, in highly regulated vocational education environments, knowledge assets translate into tangible performance only when strictly channeled through innovative practices. Theoretically, this extends the knowledge-based view by isolating innovation as the critical mediator for civil servant performance. Practically, university administrators and policymakers must prioritize knowledge-sharing initiatives that directly stimulate innovation to meet academic and bureaucratic targets, rather than focusing primarily on individual competitiveness.
The Influence of Job Satisfaction and Work-Life Balance on the Performance of Married Female Employees Muhammad Prasetyo Wibowo
International Journal of Enterprise Modelling Vol. 20 No. 2 (2026): May: Enterprise Modelling
Publisher : International Enterprise Integration Association

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/int.jo.emod.v20i2.169

Abstract

The increasing participation of women in the workforce has created new challenges for married female employees in balancing professional responsibilities and family obligations. This study aims to analyze the effect of work-life balance and job satisfaction on the performance of married female employees at PT.X, a household appliance manufacturing company in Medan. A quantitative research approach was employed using a saturated sampling technique involving 87 married female employees as respondents. Data were collected through questionnaires, interviews, documentation studies, and literature reviews. The data analysis technique used was multiple linear regression analysis with the assistance of SPSS version 20.0, including validity, reliability, normality, partial t-test, and simultaneous F-test analyses. The results indicate that job satisfaction has a positive and significant effect on employee performance with a t-value of 3.001 and a significance level of 0.004. Furthermore, work-life balance was found to have a stronger positive and significant influence on employee performance with a t-value of 4.923 and a significance value of 0.000. Simultaneously, job satisfaction and work-life balance significantly affect employee performance, as evidenced by an F-value of 30.942 with a significance level of 0.000. The findings suggest that organizations need to develop supportive policies related to employee welfare, fair compensation, and work-life balance to improve the performance of married female employees. This study contributes to the human resource management literature by highlighting the importance of balancing work and personal life in enhancing employee performance, particularly among women with dual roles in the workplace and family.
Content-Based Filtering Using TF-IDF for a Course Recommendation System for Indonesian MSME Entrepreneurs Rr Octanty Mulianingtyas; Bagus Hendra Saputra; Rohani Situmorang; Galih Prakoso Rizky A
International Journal of Enterprise Modelling Vol. 20 No. 2 (2026): May: Enterprise Modelling
Publisher : International Enterprise Integration Association

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/int.jo.emod.v20i2.172

Abstract

Micro, Small, and Medium Enterprises (MSMEs), particularly those led by female entrepreneurs, play a vital role in Indonesia’s economic development; however, digital learning platforms often lack adaptive mechanisms that align course offerings with individual learning needs. Existing platforms generally rely on manual selection or generic categorization, creating a gap in personalized recommendation support within digital entrepreneurship education. The primary objective of this study is to develop and assess a content-based course recommendation system for Femalepreneur.id that addresses this limitation. A quantitative experimental research design was adopted using user profile data collected through questionnaires and course descriptions obtained from the platform repository. The methodology integrates systematic text preprocessing, feature representation using Term Frequency–Inverse Document Frequency (TF-IDF), and similarity computation through cosine similarity to generate personalized recommendations. The experimental results indicate Mean Precision@3 at 51.5%, Mean Average Precision@3 (MAP@3) at 42.9%, and Hit Ratio@3 at 90.9%. The precision matrix demonstrates the system can recommend relevant result until three courses as the maximum value based on the ground truth.  While, Hit Ratio matrix reveals that at least the system can recommend at least one relevant topic.  These findings confirm the effectiveness of TF-IDF in modelling textual learning features and highlight the contribution of the proposed system in strengthening personalized digital entrepreneurship learning for female entrepreneurs.
Consumer perception and service quality effects on maxim satisfaction: mediating roles of price and value Maria Helena Chandra; Bernadetha Trisya Devi Soar; Egonius Aldin Raja; Luciano Sergio Taru Dae
International Journal of Enterprise Modelling Vol. 20 No. 2 (2026): May: Enterprise Modelling
Publisher : International Enterprise Integration Association

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/int.jo.emod.v20i2.181

Abstract

This study addresses the limited empirical evidence on online transportation service quality in developing regions, focusing on Sikka Regency. While prior studies predominantly focus on metropolitan contexts, little is known about how service quality, price, and perceived value shape customer satisfaction in peripheral regions with distinct socioeconomic characteristics. This study aims to examine the influence of consumer perception, SERVQUAL dimensions, price, and perceived value on customer satisfaction with Maxim services in Sikka Regency. A quantitative approach was employed using survey data from 47 respondents, analyzed through multiple linear regression and sobel test to assess mediation effects. The results indicate that all variables jointly have a significant effect (Sig. 0.000) with high explanatory power (R² = 0.98), although this value should be interpreted cautiously due to the small sample size and potential model overlap. Perceived value (B = 2.341; Sig. 0.000) and price emerge as the most dominant determinants. Notably, the empathy dimension shows a significant negative effect (B = –1.204; Sig. 0.005), suggesting unmet interpersonal expectations. This study contributes by demonstrating context-dependent SERVQUAL effects and emphasizing value-for-money as a key driver of satisfaction in non-metropolitan markets.
Employee performance management in NGOs through the non-physical work environment and psychological well-being: A systematic literature review Deasy Rinayanti Pelealu
International Journal of Enterprise Modelling Vol. 20 No. 2 (2026): May: Enterprise Modelling
Publisher : International Enterprise Integration Association

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/int.jo.emod.v20i2.183

Abstract

This study aims to analyze the interrelationship between the non-physical work environment, psychological well-being, and employee performance in nonprofit organizations (NGOs). NGOs operate under resource constraints and rely heavily on non-material approaches to manage employee performance. A Systematic Literature Review (SLR) using the PRISMA framework was conducted on articles indexed in Scopus, Google Scholar, and SINTA, published between 2015 and 2025. A total of 25 articles were selected and analyzed using thematic analysis. The findings show that the non-physical work environment—such as leadership, communication, and social support—has a significant impact on employee performance. Psychological well-being also plays a crucial role, both as a direct determinant and as a mediating variable linking the work environment to performance. In NGO contexts, intrinsic factors such as meaningful work and value alignment are more influential than financial incentives. This study offers novelty by providing an integrated synthesis that simultaneously examines these three variables within the NGO context, which has been largely overlooked in previous fragmented studies. Practically, the findings suggest that NGO managers should prioritize leadership development, strengthen internal communication, and design well-being-oriented policies to improve sustainable employee performance.
The Influence of Character Education and Learning Motivation on Competence and Performance of Indonesian Navy PUSDIKLEK Graduates Nordi Dwi Purwanto; Hanjar K Hanjar; Achmad Faisol
International Journal of Enterprise Modelling Vol. 20 No. 2 (2026): May: Enterprise Modelling
Publisher : International Enterprise Integration Association

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/int.jo.emod.v20i2.184

Abstract

This study addresses the need to enhance the competence and performance of graduates from the Indonesian Navy’s Education and Training Center (Pusdiklek), particularly in response to evolving technological and operational demands that reveal gaps in current training outcomes. The study aims to analyze the direct and indirect effects of character education and learning motivation on competence and performance, with competence acting as a mediating variable. A quantitative approach was employed using Structural Equation Modeling (SEM) with a sample of 164 respondents selected through simple random sampling from a population of 277 personnel. Data were collected באמצעות a structured questionnaire using a 5-point Likert scale and analyzed using AMOS 24. The results indicate that character education significantly influences competence (β = 0.415; p < 0.001) and performance (β = 0.288; p < 0.001), while learning motivation has a stronger effect on competence (β = 0.522; p < 0.001) and performance (β = 0.454; p < 0.001). Competence also significantly affects performance (β = 0.359; p < 0.001) and mediates the relationship between character education (β = 0.149; p = 0.003) and learning motivation (β = 0.187; p = 0.002) on performance. These findings confirm a partial mediation model and highlight the importance of integrating character development and motivational strategies in military training systems. The study contributes theoretically by developing an integrated SEM-based framework in a military education context and practically by providing strategic insights for improving training effectiveness and personnel performance in the Indonesian Navy.
ML-KEM-768 latency analysis on IIoT systems in the context of post-quantum security H.A Danang Rimbawa; Danny Setyowati; Achmad Farid Wadjdi
International Journal of Enterprise Modelling Vol. 20 No. 2 (2026): May: Enterprise Modelling
Publisher : International Enterprise Integration Association

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/int.jo.emod.v20i2.185

Abstract

This study aims to analyze the performance of the Post Quantum Cryptography ML-KEM-768 algorithm in the Industrial Internet of Things system which has limited resources and communication stability needs. The approach used is a quantitative experiment with end-to-end latency measurement on a virtual machine-based architecture that represents IIoT system communication. The evaluation parameters included latency distribution, percentile values, and characteristics of steady state and spike conditions. The test results showed that the ML-KEM-768 had a median latency of 51.84 ms with a P95 value of 64.17 ms and a P99 of 76.85 ms, as well as a steady state proportion of above 96 percent. The spike latency condition persists with low frequency and does not affect the overall stability of the system. These results show that ML-KEM-768 can be implemented in IIoT systems with communication performance that remains within operational tolerance limits.
TikTok as a Driver of Digital Marketing Performance: Examining the Role of Content and Viral Marketing in Shaping Purchase Intention Hilda Elsera Br Sembiring; Rofiqoh Dewi; Dahri Yani Hakim Tanjung
International Journal of Enterprise Modelling Vol. 20 No. 2 (2026): May: Enterprise Modelling
Publisher : International Enterprise Integration Association

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/int.jo.emod.v20i2.186

Abstract

The rapid growth of social media platforms, particularly TikTok, has significantly transformed contemporary digital marketing practices. Nevertheless, the effectiveness of content marketing and viral marketing in influencing consumers’ purchase intention remains an important issue for further investigation. This study aims to analyze the influence of content marketing and viral marketing on purchase intention among TikTok users. A quantitative research approach was employed using a survey method involving 150 respondents in Medan Tuntungan selected through purposive sampling. The collected data were analyzed using multiple linear regression, supported by validity, reliability, and classical assumption tests to ensure data quality and model accuracy. The findings reveal that content marketing and viral marketing have a positive and significant effect on purchase intention, both partially and simultaneously. Among the two variables, content marketing demonstrates a stronger influence, indicating that informative, creative, and engaging content plays a crucial role in attracting consumer interest. Meanwhile, viral marketing contributes to increasing product exposure, consumer trust, and information dissemination efficiency. Furthermore, the coefficient of determination indicates that both variables explain a substantial proportion of the variance in purchase intention, although other external factors may also contribute. These findings provide practical implications for businesses, especially small and medium enterprises (SMEs), in developing effective TikTok-based digital marketing strategies through the integration of high-quality content and viral promotional approaches to enhance consumer purchase intention.
Human object detection and classification system based on thermal cameras using the YOLOv11 object detection model Muhammad Irsyaad Nurrahman; Bagus Hendra Saputra; H. A. Danang Rimbawa
International Journal of Enterprise Modelling Vol. 20 No. 2 (2026): May: Enterprise Modelling
Publisher : International Enterprise Integration Association

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/int.jo.emod.v20i2.188

Abstract

Strategic institutions such as military campuses, defense research centers, and government facilities face increasingly complex security challenges, particularly in environments with low visibility and limited manual patrol capabilities. Conventional surveillance systems often perform poorly in dark environments because they depend heavily on visible light. Therefore, this research proposes a human object detection and classification system based on thermal cameras integrated with the YOLOv11 object detection model. Thermal cameras are capable of capturing heat radiation emitted by objects, enabling effective visualization under low-light and completely dark conditions. The proposed system combines thermal imaging technology with the real-time detection capability of YOLOv11 to automatically identify and classify human objects. This research employs the Research and Development (R&D) method, including dataset collection, image annotation, data augmentation, data preprocessing, model training, and system evaluation. The dataset consists of thermal images enhanced using augmentation techniques such as cropping, rotation, brightness adjustment, and blur effects to improve model robustness. Model performance was evaluated using Accuracy, Precision, Recall, F1-Score, and Confusion Matrix analysis. Experimental results demonstrate that the proposed system achieved an average accuracy of 86.36%, with accuracy values of 85.98% under completely dark conditions and 86.75% under dim-light conditions, indicating that the model is capable of reliably detecting and classifying human objects in low-visibility environments. These findings show that the integration of thermal cameras and YOLOv11 can contribute to the development of intelligent security systems that improve surveillance efficiency while reducing dependence on manual monitoring.

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