International Journal of Management Science and Information Technology
International Journal of Management Science and Information Technology (IJMSIT), e-ISSN: 2776-7388 and p-ISSN: 2774-5694 is a free and open-access journal published by the Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia. IJMSIT is an open-access journal dedicated to the exploration of the impact of information technologies on managerial and organizational topics. The journal employs a multidisciplinary approach to develop comprehensive and theoretical frameworks for both researchers and practitioners in the fields of management and information technology. IJMSIT aims to stimulate research in emerging domains influenced by advancements in information technology and trends in management practices. Its readership includes academics from business and engineering schools, as well as managers interested in the application of quantitative methods in business. All published articles are assigned a digital object identifier (DOI) for easy reference. To submit your article to International Journal of Management Science and Information Technology (IJMSIT) ; You have to Register or Login to submit your or. You can access the manuscript format from the author guidelines. Download Template (English).
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Continuous Regression Models for Mapping the Smartphone Addiction Spectrum Using Random Forest Regressor
This study proposes a predictive modeling approach to measure the level of smartphone addiction in adolescents by transforming a conventional binary classification model into a continuous regression model. The use of categorical labels often fails to capture the complex spectrum of addictive behaviors, so this study implemented the Random Forest Regressor algorithm to predict addiction scores on a scale of 1.0 to 10.0. The experimental results show that the regression model is able to provide high prediction accuracy, as evidenced by the coefficient of determination obtained R^2 of 0.8607 and a Mean Absolute Error (MAE) of 0.2854. These findings confirm that the regression approach offers better data resolution in mapping the degree of digital dependency than classification methods. In practice, this model produces a continuous score that provides a dynamic tool for mental health professionals. This approach allows for objective monitoring of patient’s behavioral progress during recovery. Furthermore, this model can facilitate multilevel psychological interventions and tailored care, from early prevention to therapy for high-risk addicts.
Copyright (c) 2026 I Putu Eka Aditya Saputra, I Made Gede Sunarya, Putu Hendra Suputra https://creativecommons.org/licenses/by/4.0
Physical Humanlikeness as A Moderator of The Relationship Between AI Influencer Marketing and Purchase Intention
The purpose of this study is to examine the role of AI influencers in enhancing social media user experience, strengthened by physical human likeness as a moderating variable to reinforce the purchasing experience. This study employs a quantitative method with a sample of 250 respondents who have experience in purchasing through artificial intelligence. The data analysis technique used is SEM-PLS, conducted using SmartPLS 4.0. Artificial intelligence improves customer interaction and engagement, which in turn increases purchase intention. Additionally, Companies should integrate human-like elements into AI services, such as more empathetic communication styles, personalized responses, and the ability to capture customers’ emotional context. This approach enhances customer engagement and experience, ultimately increasing purchase intention. This study extends the literature in AI marketing by demonstrating that the success of AI is not solely dependent on technological advancement, but also on its ability to create interaction experiences that resemble human interactions.
Copyright (c) 2026 Rahyono, Ayu Nursari, Lestari Wuryanti, Reza Hardian Pratama https://creativecommons.org/licenses/by/4.0
Mediation of Purchase Interest: The Influence of Price, Product Quality and Social Media Promotion on The Purchase Decision of AMDK in Bondowoso Regency
This study aims to analyze the influence of price, product quality, social media promotion, and purchase interest on the purchase decision of A3 Fresh O2 products in Bondowoso Regency, as well as examine the role of purchase interest as an intervening variable. The research method used is quantitative with a survey approach, purposive sampling, and data analysis using the Partial Least Square (PLS) technique. The results of the study show that price, product quality, and social media promotions have a positive and significant effect on consumer purchase decisions, respectively. In addition, these three variables also have a positive and significant effect on purchase interest, while purchase interest directly influences purchasing decisions significantly. The mediation analysis confirmed that purchase interest strengthened the influence of price, product quality, and social media promotion on the purchase decision of A3 Fresh O2 products. These findings recommend the integration of pricing strategies, improving product quality, and optimizing digital promotions with the right purchase interest to improve purchasing decisions, sales volume, and purchase loyalty in the Bondowoso bottled water market.
Copyright (c) 2026 Rolis Wikarsono, Budi Santoso, Nurul Qomariah https://creativecommons.org/licenses/by/4.0
Optimizing the Human Resource Management Function in Improving Employee Performance in the Digital Era at PT Bahana Swara Asembagus
This study aims to analyze the optimization of the human resource management (HRDM) function in improving employee performance in the digital era at PT Bahana Swara Asembagus, focusing on the implementation of the HRM function, optimization efforts, and obstacles faced. The research uses a descriptive qualitative approach with data collection techniques through interviews, observations, and documentation, and is analyzed using data reduction, data presentation, and conclusion drawing with validity test through triangulation. The results show that the implementation of the HR function—including HR planning, training and development, and performance assessment—has been running but is still dominated by conventional approaches and has not been digitally integrated. Optimization efforts are carried out through the use of technology in work operations, improving employee digital competence, and using digital communication media, although it is still partial. The main obstacles include the limitations of technological infrastructure, low digital literacy, resistance to change, and the absence of a structured training system. This research emphasizes that optimizing human resources in the digital era requires a holistic and integrated approach between technology, human resource development, and organizational culture to improve employee performance in a sustainable manner.
Copyright (c) 2026 Yasmin Naini Bahanan, Lusi Endang Sri Darmawati2, Raudlatul Jannah https://creativecommons.org/licenses/by/4.0
The Moderating Role of Human Resource Competence in The Relationship Between Digital Literacy, Marketing Innovation, and MSMEs Business Performance in Pontianak
This study aims to analyze the effect of digital literacy and marketing innovation on MSME business performance in Pontianak, with human resource competence as a moderating variable. The study employed a quantitative approach using a survey method involving 200 food and beverage MSMEs in Pontianak selected through purposive sampling. Data were analyzed using Moderated Regression Analysis (MRA) with SPSS 23. The findings reveal that digital literacy has a positive and significant effect on MSME business performance (B = 0.098; p < 0.05), while marketing innovation demonstrates the strongest influence on business performance (B = 0.421; p < 0.001). Furthermore, human resource competence significantly moderates the relationship between digital literacy, marketing innovation, and MSME business performance. The coefficient of determination (R² = 0.611) indicates that 61.1% of MSME business performance can be explained by the variables examined in this study. These findings imply that strengthening digital capability, marketing innovation, and human resource competence is essential for improving MSME competitiveness and sustainability in the digital era.
Copyright (c) 2026 Arninda, Ferdy Firmansyah, Ryanti https://creativecommons.org/licenses/by/4.0
The Mediating Role of e-WOM in the Relationship between e-Service Quality, e-Trust, and Repurchase Intention: A Study of Traveloka Users in Indonesia
The rapid growth of the online travel industry in Indonesia has intensified competition among Online Travel Agent platforms, highlighting the importance of understanding factors influencing repurchase intention. This study aims to examine the effects of e-service quality and e-trust on repurchase intention, with e-WOM as a mediating variable, among users of Traveloka. A quantitative causal research design was employed, involving 190 respondents selected through purposive sampling. Data were collected using a structured Likert-scale questionnaire and analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM). The findings reveal that e-service quality has a positive and significant effect on both repurchase intention and e-WOM. E-trust significantly influences repurchase intention but does not significantly affect e-WOM. Furthermore, e-WOM positively affects repurchase intention and partially mediates the relationship between e-service quality and repurchase intention. However, e-WOM does not mediate the relationship between e-trust and repurchase intention. These results indicate that e-service quality serves as the primary driver of repurchase intention, both directly and indirectly through positive electronic word-of-mouth, while e-trust functions mainly as a direct determinant of repeat purchase decisions.
Copyright (c) 2026 Yulia Kusumawardani, Putu Indah Rahmawati, Ni Luh Wayan Sayang Telagawathi https://creativecommons.org/licenses/by/4.0
AI-Enhanced Remote Sensing for Forest Fire Mitigation: Integrating UAV and Satellite Imagery to Strengthen Indonesia's National Security
Forest fires pose a significant ecological and national security threat, with increasing frequency and intensity driven by both natural and anthropogenic factors. Remote sensing technology has emerged as a strategic solution for early detection and mitigation of forest fires in high-risk areas. This study employs a qualitative literature review method, analyzing more than 15 recent scholarly articles focusing on the use of satellite imagery, UAVs, and machine learning integration in fire monitoring systems. The data were examined to assess the effectiveness of remote sensing in prediction, active detection, and post-fire management. Findings indicate that remote sensing technology, especially those utilizing multispectral imagery and surface temperature sensors, can improve fire detection accuracy to over 90%. AI-based segmentation systems and UAV imagery have proven effective in accelerating real-time wildfire response. Additionally, spatial data contributes to mapping fire-prone zones and planning strategic mitigation efforts. In conclusion, the integrative use of remote sensing strengthens early warning systems and decision-making processes in forest fire management, while safeguarding ecosystem stability and national security.
Copyright (c) 2026 Anggi Pradikti Purna Dewi, Asep Adang Supriyadi https://creativecommons.org/licenses/by/4.0
Bitcoin Risk Perception and Investment Behavior: The Role of Literacy and Trust
This study aims to examine the effect of Bitcoin risk perception on stock investment decisions by considering the mediating roles of financial literacy and investor trust. The rapid development of digital financial technology, particularly cryptocurrencies, has introduced new dimensions of risk that influence investor behavior across financial instruments. This research adopts a quantitative approach with an explanatory design, involving 120 respondents selected through purposive sampling. Data were collected using structured questionnaires and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that Bitcoin risk perception has a positive and significant effect on financial literacy, investor trust, and stock investment decisions. Furthermore, financial literacy and investor trust significantly influence stock investment decisions and serve as partial mediators in the relationship between Bitcoin risk perception and investment decisions. These findings suggest that higher awareness of cryptocurrency risk encourages individuals to enhance their financial understanding and develop rational trust, ultimately leading to more informed investment decisions in the stock market. This study contributes to the integration of behavioral finance and financial technology by highlighting the indirect mechanisms through which risk perception shapes investment behavior. Practically, the results emphasize the importance of financial education and transparent information in improving investor decision-making in the digital era.
Copyright (c) 2026 I Made Ardita, Ni Made Suci, Fridayana Yudiatmaja https://creativecommons.org/licenses/by/4.0
Guest Perception of Service Quality Decline Due to Employee Multitasking in the Era of Digital Transformation in Star-Rated Hotels
The development of digital technology in the hospitality sector has led to changes in employee work patterns, particularly related to multitasking practices in service activities. This condition must be able to influence the perception of service quality by guests, especially in face-to-face contact. Research Objective: This study aims to examine the effect of multitasking in service on the perception of service quality by guests in star-rated hotels. Research Design: A quantitative approach and exploratory survey design were used. Data were collected using an online questionnaire with a five-point Likert scale from 172 respondents obtained through purposive sampling. We focused on guests who stayed at star-rated hotels during the past year and had experience interacting directly with employees. Descriptive analysis and simple linear regression were used in examining the data. Based on the results, the employee multitasking variable was found to be at a high level and service quality was in the medium category. The Responsiveness and Empathy dimensions received the lowest scores compared to other dimensions. As we can see from the regression, employee multitasking negatively and significantly affected service quality (β = −0.487, P = 0.000). Thus, these results indicate that the more staff multitasked, the lower the service quality perceived by guests. These findings have implications for hotel management to balance employee workload so that service quality is not compromised.
Copyright (c) 2026 Suyamto Suyamto, Dian Deliana, Erwin Purbosaputro, Sujatmiko https://creativecommons.org/licenses/by/4.0
Analyzing the Determinants of Employee Performance in Public Healthcare: A Cross-Sectional Quantitative Study in a Community Health Center in Buleleng Regency
This study aims to empirically examine the influence of motivation, organizational culture, and job satisfaction on employee performance at the Gerokgak I Community Health Center, Buleleng Regency. The population consisted of all 59 employees, and a saturated sampling technique was applied, resulting in the entire population being used as the research sample. Data were collected through a structured questionnaire using a 5-point Likert scale. The data were analyzed using multiple linear regression with the assistance of IBM SPSS version 25. The results indicate that motivation (β = 0.525; p < 0.001), organizational culture (β = 0.263; p = 0.010), and job satisfaction (β = 0.244; p = 0.005) each have a positive and significant effect on employee performance. Among these variables, motivation emerged as the most influential factor, as indicated by the highest standardized coefficient. Simultaneously, the three independent variables significantly affect employee performance (F = 68.460; p < 0.001), with a coefficient of determination (R² = 0.789), indicating that 78.9% of the variance in employee performance can be explained by the model. These findings highlight the importance of strengthening employee motivation, supported by a conducive organizational culture and improved job satisfaction, to enhance performance in public healthcare institutions.
Copyright (c) 2026 Dian Setiyawati, I Nengah Suarmanayasa, Made Ary Meitriana https://creativecommons.org/licenses/by/4.0
Strategic Management and Market Feasibility of Tegal Tourism: A Digital Transformation Perspective
Digital transformation in the tourism sector has accelerated the emergence of technology-driven platforms that enable the end-to-end integration of tourism experiences. This study examines the market feasibility and strategic management implications of the Tegal Tourism platform, which comprises four main subsystems: Virtual Tour, Tourism Marketplace, Mitra Jelajah (partner ecosystem), and an AI-based chatbot. Adopting a mixed-methods approach, the study combines survey data from 116 respondents with in-depth interviews, FGDs, and prototype testing. Market feasibility is evaluated across five key dimensions, namely market demand and trends, consumer segmentation and user profiles, competitor and substitute product analysis, go-to-market and distribution strategies, and quantitative demand estimation. The findings reveal that 56.9% of respondents are familiar with virtual tours, 70% are interested in exploring tourism through such technology, and more than 77% indicate a likelihood of making transactions after a virtual experience, demonstrating strong online-to-offline (O2O) conversion potential. Additionally, 94% of respondents primarily use smartphones, highlighting the importance of a mobile-first strategy. Overall, the platform demonstrates high market feasibility, supported by strong user interest, digital readiness, and significant transaction potential. Four of the five dimensions meet the feasibility criteria, while consumer segmentation and user profiles remain at a medium-to-high risk level and require targeted mitigation. This study contributes to strategic management and digital tourism literature by offering an integrated feasibility framework and practical insights for strengthening digital tourism ecosystems and MSME participation.
Copyright (c) 2026 Dwi Novita Cahyaningtyas Permatasari, Deddy Kurniawan Halim, Dinar Sukma Pramesti, Vivi https://creativecommons.org/licenses/by/4.0
The Impact of Work-Life Balance and Hybrid Work on Job Satisfaction: The Mediating Role of Music in the Workplace
The modern workplace is currently undergoing a significant transformation driven by digitalization, where work is no longer confined to a fixed location or rigid schedule. The emergence of hybrid work systems has become an adaptive response by organizations, providing employees with greater opportunities to balance professional responsibilities and personal life (work-life balance). However, this flexibility also presents challenges, as the boundaries between professional and personal roles often become blurred, which may ultimately affect job satisfaction. In this context, music in the workplace emerges as a relevant supporting element, not only as background sound but also as a means to create a comfortable work atmosphere, enhance concentration, and maintain a positive mood. This study aims to examine the impact of work-life balance and hybrid work on job satisfaction, with music in the workplace positioned as a mediating variable. A quantitative approach was employed using survey data collected from hybrid workers, which were then analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS) to explore the relationships among variables. The findings indicate that well-maintained work-life balance and the effective implementation of hybrid work significantly improve job satisfaction. Furthermore, music in the workplace plays a mediating role that strengthens these relationships. Theoretically, this study contributes to the human resource management literature by highlighting the importance of psychological aspects in flexible work environments, while practically, it suggests that organizations should not only focus on flexibility but also consider employees’ emotional well-being to sustain job satisfaction.
Copyright (c) 2026 Agung Rachmad Nuriyanto, Ronny Malavia Mardani, Nurhidayah https://creativecommons.org/licenses/by/4.0
Service Promotion Strategies in the Digital Economy Era: Leveraging Technology and Electronic Communications to Face Challenges and Seize Opportunities
This research will analyze the service sector that distributes services through technology and electronic communication in the digital economy era. This research was conducted using descriptive qualitative methods, supplemented by basic quantitative data. Data collection was carried out through a literature review and interviews with service business actors who place orders through digital media (social networks, websites, mobile applications, and related online stores). The results of the study indicate that digital technology has marketing diversification, consumer engagement, and promotional efficiency. Social media is developing as the strongest source of consumer attention, leading to needs triggered by purchases and therefore the need for applications such as e-commerce and mobile applications for transaction/service access. Higher technology adoption leads to increased sales, customer loyalty, and better business growth. The successful implementation of promotional activities is also hampered by human resources (availability, digital literacy), and the speed of adaptation to technological developments. Improved competence and appropriate technology management are needed to increase the competitiveness of service businesses.
Copyright (c) 2026 Sinarwaty, Rachmiani https://creativecommons.org/licenses/by/4.0
The Effect of Perceived ROI on Perceived Value and Adoption Intention
This study aims to examine the role of perceived return on investment (ROI) in shaping perceived value and its impact on adoption intention toward digital branding among small and medium-sized enterprises (SMEs). A quantitative approach with an explanatory research design was employed, involving 100 SME owners in the Special Region of Yogyakarta, Indonesia. Data were collected through structured questionnaires and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that perceived ROI has a positive and significant effect on perceived value with a t-statistic of 4.562 and a p-value of 0.000 (<0.05) and the path coefficient is 0.513, suggesting that SMEs evaluate digital branding based on the economic benefits gained relative to the costs incurred. Furthermore, perceived value has a positive and significant effect on adoption intention with a t-statistic of 8.781 and a p-value of 0.000 (<0.05) and the path coefficient is 0.625, indicating that perceived value is a determinant in technology adoption decisions. Theoretically, this study provides insights into the importance of value-based evaluation in the context of digital branding adoption among SMEs. Practically, the results suggest that improving SMEs’ understanding of digital branding performance, particularly in terms of ROI, can enhance perceived value and encourage broader adoption of digital branding strategies.
Copyright (c) 2026 Rizki Pratama Johanis Paransa, Rr. Chusnu Syarifa Diah Kusuma, Fajar Wahyu Nugroho, Kurnia Wulandari https://creativecommons.org/licenses/by/4.0
Human Capital Efficiency and Firm Value: Empirical Evidence on Companies Listed on the Indonesia Stock Exchange
The development of a knowledge-based economy positions human capital as a strategic asset capable of creating sustainable competitive advantage and increasing firm value. In public companies, efficient human capital management is increasingly important because it influences not only operational performance but also investor perceptions in the capital market. This study aims to analyze the effect of Human Capital Efficiency (HCE) on firm value in manufacturing companies listed on the Indonesia Stock Exchange (IDX). This study employs a quantitative approach with a causal research design using panel data obtained from annual financial reports of manufacturing firms listed on the IDX during the 2020–2024 period. The sample was selected using purposive sampling criteria, resulting in 60 companies with 300 observations. Human Capital Efficiency is measured using the Value-Added Intellectual Coefficient (VAIC™) approach, while firm value is measured using Tobin’s Q. Panel data regression analysis is conducted with control variables including firm size, leverage, and profitability. The results reveal that Human Capital Efficiency has a positive and significant effect on firm value, indicating that companies capable of efficiently managing human resources tend to achieve higher market valuation. In addition, firm size and profitability positively influence firm value, whereas leverage has a negative effect. These findings suggest that efficient human capital management enhances investor confidence, organizational productivity, and long-term corporate competitiveness. Theoretically, this study strengthens Human Capital Theory and the Resource-Based View by providing empirical evidence from the Indonesian manufacturing sector. Practically, the findings imply that manufacturing firms should prioritize strategic human resource investments, employee capability development, training programs, and talent retention strategies to improve firm value and sustain competitive advantage.
Copyright (c) 2026 Leni Hartati, RR. Ella Evrita H https://creativecommons.org/licenses/by/4.0
The Use of the K-Means Algorithm as a Method for Grouping Major Interests of Class X Students of SMK Satrya Budi 1 Commerce
In the modern era like today, education is one of the most important aspects in supporting the development of quality human resources. In addition, through the main discussion carried out in this study aims to be able to apply the K-Means algorithm as a method for grouping the interests of class X students of SMK Satrya Budi 1 Perdagangan systematically and based on data. In addition, to be able to determine the level of compatibility between student interests and available majors based on the results of the grouping using the K-Means algorithm. And in addition, for the Research Method section used in this study, namely a quantitative approach with the support of data analysis techniques using the K-Means Algorithm Method. The selection of this method is based on the need for research to be able to produce objective grouping of class 10 student majors based on numerical data and certain relevant attributes. So based on this, this study shows the results that the application of the k-means clustering algorithm is able to provide a more objective and systematic approach in the process of determining majors. Grouping is done by processing several assessment criteria such as academic grades, aptitude tests, interest tests, entrance exams and basic skills. Based on the final results of the grouping of 30 students, the system divides students into four main major groups, namely Motorcycle Engineering and Business (8 students), Automotive Light Vehicle Engineering (2 students), Heavy Equipment Engineering (11 students) and Industrial Chemistry (10 students).
Copyright (c) 2026 Handina Ananda Putri, Herman Saputra, Yori Apridonal M https://creativecommons.org/licenses/by/4.0
The Impact of Safeguard Import Duty (BMTP) Policies and Macroeconomic Factors on Textile Import Volumes in Indonesia
This study aims to analyse the effectiveness of the Safeguard Import Duty or Bea Masuk Tindakan Pengamanan (BMTP) in controlling textile import volumes in Indonesia. It is also examining the influence of macroeconomic variables, exchange rates and inflation. This study is motivated by the increasing pressure from imports on the domestic textile industry and the need to evaluate trade defence policies in the context of developing countries. In this regard, the analysis integrates trade defence policies with exchange rate and inflation dynamics in order to better illustrate how macroeconomic conditions influence the outcomes of trade policies. A quantitative approach is employed using panel data regression, combining cross-sectional data from 14 countries and times series data from January 2019 to December 2025. The data are analyzed using a Fixed Effect Model (FEM) with robust standard errors to ensure reliable estimation. The results show that the countries subjected to safeguard policy (BMTP) is associated with lower import volumes, even though the effect is not statistically significant. Meanwhile, exchange rates and inflation have a positive and significant impact on import volume, indicating that macroeconomic conditions play a crucial role in shaping import dynamics. Simultaneously, all variables significantly affect import volume, highlighting the interaction between safeguard policy and macroeconomic factors. These results indicate that the effectiveness of trade policy cannot be separated from macroeconomic context. These findings contribute to the literature by providing empirical evidence on the limited effectiveness of trade protection policies when not supported by stable macroeconomic stability and industrial development. Practically, the study suggests that policymakers should complement protectionist measures with macroeconomic strategies and industrial capacity building.
I Gusti Ayu Agung Istri Dinda Larasshanti Jelantik
Copyright (c) 2026 I Gusti Ayu Agung Istri Dinda Larasshanti Jelantik, Komang Widhya Sedana Putra P https://creativecommons.org/licenses/by/4.0
Digital Transformation and Adaptive Risk Management in Industry 4.0: A Conceptual Review of the Expanding Spectrum of Organizational Risk
The acceleration of digital transformation in the industry 4.0 era has fundamentally changed the way organizations conduct business processes, make decisions, and build competitive advantage. These changes have also broadened the spectrum of organizational risks, making them increasingly complex, interconnected, and difficult to predict. This phenomenon has created an urgent need for risk management strategies that are no longer reactive, but rather adaptive, proactive, and data-driven. The purpose of this study is to analyze the relationship between digital transformation and adaptive risk management strategies, focusing on how digitalization expands organizational risk from the operational level to the strategic, socio-technical, and systemic levels. This research uses a structured conceptual literature review that examines academic books, scientific journal articles, industry reports, and relevant policy documents, particularly those published in the last five years. Source collection was carried out through the stages of identification, selection, relevance evaluation, final document determination, and analysis using an interpretive qualitative approach and thematic analysis techniques. The results of the study indicate that digital transformation reconfigures organizational strategies, business processes, and decision-making patterns, while increasing vulnerability to risks in cybersecurity, data privacy, reputation, governance, and human resource readiness. This study confirms that organizations need adaptive risk management supported by digital leadership, data and security governance, organizational readiness, and continuous learning. The article's primary contribution lies in the formulation of an integrative conceptual framework linking digital transformation, the expansion of the organizational risk spectrum, adaptive risk management, and organizational resilience.
Copyright (c) 2026 Selvy Afrioza, Irvan Bernandita Primandanu https://creativecommons.org/licenses/by/4.0
Implementation of A Human Resource Development Model Based on Coaching in Small and Medium Pempek Businesses in Palembang City
This study aims to analysis the implementation of a coaching-based human resource development model in small and medium enterprises (SMEs) producing pempek in Palembang City and to examine its effect on employee competence and performance. This research is important because human resources play a strategic role in improving the competitiveness and sustainability of SMEs, especially in traditional culinary industries. The study employed a quantitative research approach using Structural Equation Modeling (SEM) with the Partial Least Squares (PLS) method for data analysis. The sampling technique used was purposive sampling, involving 200 employees from pempek SMEs who had participated in coaching or mentoring activities for at least one year. The research instrument was developed based on indicators of coaching, employee competence, empowerment, and employee performance using a Likert scale questionnaire. The results indicate that the coaching-based human resource development model has a positive and significant effect on improving employees’ skills, motivation, responsibility, communication, and collaboration within the workplace. Coaching activities also contribute to strengthening employee empowerment and improving operational performance in SMEs. Furthermore, the findings support previous studies emphasizing that coaching is an effective approach to developing human resources in small business environments characterized by informal management systems and limited organizational resources. This study provides practical implications for SME owners and government institutions in designing sustainable human resource development programs through coaching-based approaches to strengthen SME competitiveness.
Copyright (c) 2026 Zaleha Trihandayani, Eni Cahyani, Usman Magaji Abdullahi, M. Naufal Hasabi Groniko https://creativecommons.org/licenses/by/4.0
Capital Structure in the Context of Taxation and Financial Access: A Theoretical Synthesis
This study examines the evolution and integration of capital structure theories and their implications for firm value, with emphasis on taxation and financial access in emerging markets. It applies a systematic literature review supported by bibliometric analysis and narrative synthesis. The article selection process followed PRISMA guidelines, covering identification, screening, eligibility assessment, and final inclusion. Articles were collected from Scopus and ScienceDirect using keywords related to capital structure, taxation, tax shield, financial access, financing constraints, firm value, and emerging markets. The final corpus was analyzed through keyword co-occurrence, thematic mapping, thematic evolution, co-citation analysis, bibliographic coupling, and qualitative narrative synthesis. The findings show that capital structure research has shifted from a static optimality perspective toward a more contextual and institutionally grounded framework. Although debt financing may enhance firm value through tax shields, these benefits are often constrained by information asymmetry, limited external finance, and institutional pressures. The results indicate that taxation and financial access should not be treated as separate determinants, but as interrelated mechanisms shaping corporate financing decisions. The study contributes by developing an integrative theoretical synthesis linking classical capital structure theories with taxation, financial access, agency conflicts, and institutional context in emerging markets, particularly Indonesia.
Copyright (c) 2026 Mujiyati, Imronuddin, Anton Agus Setyawan https://creativecommons.org/licenses/by/4.0
Application of the KNN Algorithm to Assess Customer Satisfaction at A2 Collection Sei Silau Timur
The development of information technology and data mining in recent years has changed the way retail businesses, including small and medium-scale fashion businesses, collect, analyze, and utilize customer data to improve services and marketing strategies. In addition, through the main discussion carried out in this study, it aims to be able to analyze the factors that influence the level of customer satisfaction at Amel Fashion Prapat Janji based on the attributes of product quality, price, comfort of use, and service. In addition, this study develops and applies the K-Nearest Neighbor (K-NN) algorithm to classify the level of customer satisfaction more objectively, measurably and data-based. And in addition, for the Research Method section used in this study, a qualitative approach was chosen because the focus of this study is to explore the meaning, perception, and direct experience of business actors in the marketing and distribution process. So based on that, this study shows the results that the application of the K-Nearest Neighbor (KNN) algorithm in the customer satisfaction classification system at A2 Collection Sei Silau Timur is able to provide an effective solution in managing and analyzing customer evaluation data. This website-based system has succeeded in changing the assessment process that was previously carried out manually to be more structured, systematic, and easily accessible. Based on the system's calculations, the resulting distance values, such as 2.354, categorized as "Satisfied" and 2.325, categorized as "Dissatisfied," indicate that the proximity of attribute values significantly influences the classification results. Although the difference in distance values is relatively small, the system is still able to determine the class based on the dominance of the nearest neighbor data.
Utilization of the K-Nearest Neighbor (KNN) Algorithm
Copyright (c) 2026 Lutfi Anniswa Sitorus, Jeperson Hutahaean, Cecep Maulana https://creativecommons.org/licenses/by/4.0
Intelligent Systems for Sustainable Digital Ecosystems in Fast-Food Services: Shaping Generation Z Consumption Behaviors and Environmental Outcomes
Digital transformation in the fast-food industry has fostered the development of sustainable and adaptive digital ecosystems, particularly among Generation Z consumers. This systematic literature review synthesizes 30 rigorously selected peer-reviewed articles from six major academic databases to examine how intelligent systems—artificial intelligence, machine learning, and advanced analytics—support sustainable growth in quick-service restaurants. The thematic analysis identified measurable impacts: intelligent systems increased average order values by 15–25%, reduced customer service response times by 40–60%, and decreased food waste by 15–25% through supply chain optimization. Generation Z consumers also demonstrated 30–40% higher repeat purchase frequencies when exposed to personalized recommendations and sustainability transparency features. The findings indicate that AI-driven personalization, automation, and supply chain optimization can simultaneously enhance operational efficiency, enable hyper-personalized customer experiences, and promote sustainable consumption behaviors. However, implementation challenges—including data privacy concerns, algorithmic bias risks, and greenwashing vulnerabilities—require robust governance frameworks. This review advances understanding of how emerging technologies align profit objectives with environmental responsibility, while offering practical implications for restaurant operators, technology providers, and policymakers.
Copyright (c) 2026 Andreas Aji Purbokusumo, M. Farid Wajdi, Muhammad Sholahuddin, Fadloli https://creativecommons.org/licenses/by/4.0
Exploring the Influence of Gamification on Financial Behavior in Digital Financial Applications: A Systematic Literature Review
This study aims to examine the role of gamification elements in influencing user behavior within digital financial applications and to identify which elements are most associated with the development of financial habits. This research adopts a Systematic Literature Review (SLR) approach guided by the PRISMA framework. Literature was collected from three academic databases, namely Scopus, ScienceDirect, and IEEE Xplore, covering publications between 2019 and 2025. After applying predefined inclusion and exclusion criteria, 17 empirical studies were selected and analyzed using thematic analysis. The findings indicate that gamification significantly enhances user engagement and financial behavior by making financial management activities more interactive and motivating. The most frequently implemented elements include points, rewards, badges, leaderboards, and progress tracking. Cash-based rewards show stronger effects in encouraging short-term transactional behaviors, while progress visualization and real-time feedback contribute to sustained financial management practices. This study contributes theoretically by synthesizing behavioral and technology adoption perspectives to explain how gamification mechanisms influence financial behavior in digital contexts. Practically, the findings offer insights for developers and financial institutions to design more effective and user-centered financial applications. However, this review has several limitations. Most included studies rely on self-reported survey data, which limits causal inference. In addition, the majority were conducted in emerging market contexts, which may constrain the generalizability of the findings. Furthermore, most studies focus on short-term behavioral outcomes, leaving long-term habit formation insufficiently explored. Future research is therefore needed to examine long-term effects and to investigate how cultural and socioeconomic factors influence the effectiveness of gamification.
Copyright (c) 2026 Aisyah Shabira Yavie, Intan Rizky Mutiaz https://creativecommons.org/licenses/by/4.0
Determinants of Electric Motorcycle Purchase Intention in Surabaya: An Analysis of Environmental Awareness, Green Price, Attitude, and Financial Well-being
Environmental issues such as soil pollution, forest fires, and increasing air pollution have become significant concerns for both the government and the public. Rising awareness of environmental preservation encourages society and industry to seek sustainable solutions, including the use of eco-friendly vehicles. This study aims to analyze the influence of environmental awareness, green price, attitude, and financial well-being on the purchase intention of electric motorcycles in Surabaya. The research employs a quantitative approach with data collected via Google Form questionnaires. The population consists of Surabaya residents interested in purchasing electric motorcycles in the future. The sampling technique used is non-probability sampling with a purposive sampling method, resulting in 138 respondents. Data analysis was conducted using multiple regression. The results indicate that environmental awareness, attitude, and financial well-being significantly influence purchase intention, while green price does not have a significant effect. The coefficient of determination (R² = 0.843) indicates that the model is capable of explaining 84.3% of the variance in purchase intention, which can be classified as very strong. The multicollinearity test results show that all variables have tolerance values greater than 0.10 and VIF values below 10, indicating that no multicollinearity issues are present in the model. These findings emphasize the importance of psychological and economic factors in shaping the intention to buy eco-friendly vehicles. This research contributes to the literature on green consumer behavior by integrating the dimension of financial well-being into the purchase intention model and serves as a reference for the government in formulating policies related to the development of electric vehicles.
Copyright (c) 2026 Maqbula Arochman, Titik Inayati, Surenggono https://creativecommons.org/licenses/by/4.0
The Role of Job Satisfaction in Mediating the Influence of Training, Work Environment, and Work Culture on the Performance of Domestic Cargo Companies
This study explores the mediating role of job satisfaction in the relationship between training, work environment, and organizational culture on the performance of domestic cargo companies. The cargo logistics sector is increasingly challenged by rising competition, rapid technological changes, and shifting service demands. This research employs a qualitative approach using a systematic literature review. Secondary data were collected from reputable international journals indexed in databases such as Scopus, Springer, Elsevier, Emerald, and Web of Science. The data were analyzed using content analysis to examine the conceptual relationships among the key variables. The findings reveal that training, work environment, and organizational culture significantly affect company performance, both directly and indirectly through job satisfaction as a mediating variable. From a managerial perspective, the study highlights the need for cargo companies to implement continuous training programs, create supportive work environments, and foster positive organizational cultures to enhance employee satisfaction and achieve sustainable performance outcomes.
Copyright (c) 2026 Primadi Candra Susanto, Aswanti Setyawati, Aisyah Rahmawati, Reza Fauzi Jaya Sakti, Esti Liana, Euis Saribanon, Irwan Chairuddin https://creativecommons.org/licenses/by/4.0
Push, Pull, And Mooring Effects on Gen Z’s Switching Intention in TikTok Shop
This study investigates the influence of Push, Pull, and Mooring (PPM) effects on the switching intention of Generation Z users of TikTok Shop in Indonesia. The rapid growth of social commerce, combined with regulatory changes that temporarily halted TikTok Shop operations in October 2023, triggered behavioral shifts among users. Applying the PPM framework, this study analyzes the extent to which push factors (e.g., dissatisfaction, high perceived price), pull factors (e.g., attractiveness of alternatives), and mooring factors (e.g., switching costs, subjective norms) influence users’ intention to switch platforms. Data were collected via a survey of 146 TikTok Shop users aged 17–27 who had used the platform prior to its closure. The data were analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS) via SmartPLS 4.0. The results show that both push and pull effects significantly and positively influence switching intention, with the pull effect emerging as the dominant factor. However, mooring effects do not have a significant influence on switching intention and do not moderate the relationship between push/pull effects and switching intention. These findings offer insights into consumer behavior in social commerce and provide strategic implications for e-commerce platforms seeking to retain users in a competitive market.
Copyright (c) 2026 Putri Shandy Nur Cahyani, Ralina Transistari https://creativecommons.org/licenses/by/4.0
Analysis of the Strategy for the Implementation of Klik Indomaret E-Commerce Application in Improving the Quality of Consumer Service
The development of digital technology has driven significant changes in the modern trading system, including in the retail sector. Klik Indomaret, which is one of the e-commerce platforms owned by PT Indomarco Prismatama, is trying hard to maximize its digital services. The goal is because they can meet the demand of fast-paced consumers in today's era. This research was conducted to see the extent to which the strategy of using the Klik Indomaret application is successful in improving the quality of service to customers. The method used in the study is a qualitative descriptive approach by conducting in-depth interviews directly who are considered to have knowledge and experience in the implementation of the Klik Indomaret E-commerce application which is relevant to the quality of service. The results of this study show that the quality of electronic services (e-service quality) is considered quite good, especially for ease of application, but there are still obstacles faced by customers regarding customer service responses which are sometimes not fast. To overcome this problem, Klik Indomaret innovates by providing a real-time order tracking feature.
Copyright (c) 2026 Asrawan, Cholifatul Sholikah https://creativecommons.org/licenses/by/4.0
Decision Support System for Teacher Competency Evaluation Using Profile Matching and Rule-Based Coaching
Teacher competency evaluation plays a crucial role in improving educational quality; however, assessment practices at MTSS MPI Bagan Asahan are still conducted manually, leading to limited documentation, potential subjectivity, and the absence of systematic analysis. This study aims to develop a Decision Support System (DSS) based on the Modified Profile Matching method to measure teacher competency alignment with predefined ideal standards and generate proportional coaching recommendations. A quantitative case study was conducted involving 22 active teachers selected through total sampling. Data were collected from supervision documents, observations, interviews, and literature review. Competency evaluation was performed using GAP analysis between actual and target profiles, applying a 60% weighting for Core Factors and 40% for Secondary Factors to compute final ranking scores. The results show that competency scores ranged from 3.80 to 4.70, with a mean of 4.25 and a standard deviation of 0.24, indicating relatively homogeneous performance levels. Beyond ranking, the system generates adaptive coaching recommendations based on the number of negative GAP indicators. Black Box testing confirms functional reliability. The integration of proportional rule-based recommendations transforms the DSS from a static ranking tool into a structured competency diagnostic and professional development planning system. The proposed system also has the potential to be implemented in other educational institutions to support objective and data-driven teacher competency evaluation.
Copyright (c) 2026 Siti Nuraida Mangunsong, Rizaldi, Nurul Rahmadani https://creativecommons.org/licenses/by/4.0
Analysis of Decision Support System to Determine Toddlers Eligible for Additional Food at Posyandu in Perkebunan Tanah Datar Village Using Profile Matching Method
The determination of toddlers eligible for the Supplementary Feeding Program (PMT) at the Integrated Health Post in Perkebunan Tanah Datar Village is still conducted manually, which can lead to subjectivity and inaccurate targeting of assistance. This study aims to develop a Decision Support System using the Profile Matching method to determine priority PMT recipients in a more objective and systematic manner. The assessment compares the actual condition of toddlers with an ideal profile by calculating GAP values across several criteria, including stunting status, nutritional status, parents’ income, and mother’s education level. These criteria are processed using Core Factor (60%) and Secondary Factor (40%) weighting to generate priority rankings. The system evaluation was conducted using seven toddler data samples, producing ranking results in which toddler B6 obtained the highest priority score of 4.5. The results indicate that the proposed method is able to generate consistent eligibility rankings and support a more transparent and measurable decision-making process compared to manual selection. By automating the calculation of GAP values and weighting factors, the system reduces subjectivity and improves the efficiency and accuracy of PMT recipient determination. However, this study is limited by the relatively small dataset and its implementation in a single Posyandu location. Future research may involve larger datasets and additional evaluation criteria to improve the robustness and applicability of the model in broader community health service settings.
Copyright (c) 2026 Revina Salsabila, Nurul Rahmadani, Muhammad Iqbal https://creativecommons.org/licenses/by/4.0
The Influence of Financial Aspects, Human Resource (HR) Competence, and Product Innovation on the Performance of Micro, Small, and Medium Enterprises (MSMEs) in Menteng District
MSMEs play a strategic role in Indonesia and are crucial for the economy, employment, job creation, and poverty reduction. In 2023, MSMEs contributed 61.07 percent to the national GDP and employed 97 percent of the Indonesian workforce. As competition increases, it is crucial to understand the factors that can help MSMEs perform more effectively. Good financial health combined with strong human resource capabilities supports better innovation capabilities, which in turn improves the level and quality of not only competitiveness but also overall business performance. The research conducted in this paper aims to investigate the influence of financial aspects, human resource competencies, and product innovation on business performance, both partially and jointly. The research method used is quantitative, employing a survey method. Data were collected through a questionnaire using a Likert Scale, which was distributed to 100 registered MSME owners in the Menteng area. The sampling method used a purposive sampling method. The data analysis method utilized SPSS to examine the relationship and influence between the variables of financial aspects, human resource competencies, and product innovation on business performance. The results of the study indicate that the financial aspect variable has a significant positive influence on business performance (0.000 at a 5% significance level). The HR competency variable also has a significant positive influence (0.000 at a 5% significance level), as does the product variable (0.023 at a 5% significance level). The simultaneous test also shows that the financial aspect variable, HR competency, and product innovation all have a significant positive influence (0.000 at a 5% significance level). Therefore, by improving these three elements simultaneously, integrated financial management, HR competency development, and product innovation can provide business actors with an effective means to increase performance competitiveness.
Copyright (c) 2026 Melisa Riswania https://creativecommons.org/licenses/by/4.0