International Journal of Management Science and Information Technology
International Journal of Management Science and Information Technology (IJMSIT) 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. You can access the manuscript format from the author guidelines. Download Manuscript Template: Template (English)
Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia
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Determination of Website-Based Educational Assistance Recipients Using the Profile Matching Method at State Elementary School 9 Benteng
The development of information technology has brought about a major transformation in the field of education, particularly in the management of academic data and school administration. The process of determining educational assistance recipients at State Elementary School 09 Benteng is still done manually, thus potentially causing subjectivity. The absence of a website-based decision support system results in a less efficient selection process, suboptimal assessment results, and unstructured recipient criteria management. In addition, through the main discussion in this study aims to be able to design a website-based decision support system using the Profile Matching method to determine educational assistance recipients at State Elementary School 09 Benteng. This system is expected to support a more objective, structured and targeted selection process based on predetermined criteria. And in addition, the Research Method section used in this study is a descriptive quantitative approach. This method was chosen because the main objective of the study is not only to analyze a phenomenon, but also to design, develop, implement and test a website-based decision support system with the profile matching method. Based on the overall description in this study, the author can conclude that the website-based Decision Support System (DSS) for determining educational assistance recipients at State Elementary School 09 Benteng was successfully developed using the Profile Matching method to produce a more objective, structured and transparent selection process. This system replaces the previous, subjective manual method with a systematic assessment process, starting from determining criteria, weighting, calculating gap scores, and finally ranking. The results of data processing on 20 students showed that Maulana Malikul Ashori Putra obtained the highest score of 4,598 (rank 1), followed by Raka Dwi Kapo with the same score of 4,598 (rank 2) and Alfatin Rahma with a score of 4,540 (rank 3).
Copyright (c) 2026 Wawa Salsabilla, Neni Mulyani, Elly Rahayu https://creativecommons.org/licenses/by/4.0
The Mediating Role of Perceived Value in the Relationship Between Service Quality and Customer Satisfaction: Evidence from a Tourism Souvenir Store in Garut Regency
In tourism-related retail, customer satisfaction is a critical determinant of business competitiveness and sustainability. Souvenir stores are particularly vulnerable to fluctuations in tourist arrivals, which may affect service quality during peak demand periods. This study examines the effect of service quality on customer satisfaction and investigates the mediating role of perceived value. The research was conducted at “S” Souvenir Store in Garut Regency, Indonesia, a tourist destination characterized by seasonal visitor fluctuations. An explanatory quantitative approach was employed, with data collected from 110 customers through a structured questionnaire. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4. The results indicate that service quality has a significant positive effect on both perceived value and customer satisfaction. In addition, perceived value has a significant positive effect on customer satisfaction and partially mediates the relationship between service quality and customer satisfaction. These findings suggest that customer satisfaction is influenced not only by service performance but also by the perceived value derived from the exchange. Theoretically, this study contributes to tourism retail literature by positioning perceived value as a mediating mechanism in the relationship between service quality and customer satisfaction. Practically, souvenir retailers should focus not only on improving service delivery but also on enhancing customers’ perceived value to strengthen satisfaction outcomes.
Copyright (c) 2026 Sani Vira Febriani, Dini Turipanam Alamanda, Wufron https://creativecommons.org/licenses/by/4.0
The Effect of Employer Branding and Career Development on Employee Retention with Job Satisfaction as A Mediation Variable on Generation Z in Special Region of Yogyakarta
This study aims to examine the effect of employer branding and career development on employee retention with job satisfaction as a mediating variable among Generation Z employees in the Daerah Istimewa Yogyakarta. The high turnover rate among Generation Z has become a significant challenge for organizations, making it important to identify factors that influence their retention. A quantitative research design was employed using a survey method involving 100 Generation Z employees with a working tenure of 3 months to 1 year, selected through purposive sampling. Data were analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS) with SmartPLS 4.1.1.8. The findings reveal that employer branding and career development have a positive and significant effect on both job satisfaction and employee retention. Career development is identified as the most dominant predictor of employee retention. In addition, job satisfaction has a significant positive effect on employee retention and partially mediates the relationship between employer branding and career development on employee retention. The model demonstrates strong explanatory power with an R² value of 0.755, indicating substantial predictive relevance. These findings highlight that effective retention strategies for Generation Z require the integration of strong employer branding, structured career development systems, and sustained improvement in job satisfaction. This study contributes to Human Resource Management literature by providing empirical evidence on the importance of combining organizational attractiveness and career growth opportunities to retain young employees in a competitive labor market.
Copyright (c) 2026 Ayu Idawati, Ratri Nurina Widyanti https://creativecommons.org/licenses/by/4.0
Prophet Based Forecasting of Daily Tiktok Affiliate Revenue Using Operational Variables: The Cutetastic Case
This study evaluates the ability of the Prophet model to forecast daily TikTok affiliate revenue for the Cutetastic_ account and examines the contribution of operational variables to forecast accuracy. The dataset comprises 120 days of daily performance records from November 1, 2025, to February 28, 2026, including date, total revenue, number of video posts, video views, product clicks, and products sold. Three modeling scenarios were evaluated: univariate Prophet, Prophet with extra regressors, and Prophet with extra regressors combined with log transformation and parameter adjustment. The data were split chronologically into 106 training observations and 14 testing observations, and model performance was evaluated using MAE, RMSE, and MAPE. The results show that the univariate Prophet model produced a MAPE of 53.86%, whereas Prophet with extra regressors reduced the MAPE to 21.55%. The best performance was achieved by Prophet with extra regressors, log transformation, and parameter adjustment, with an MAE of 8,977,172.95, an RMSE of 11,549,223.21, and a MAPE of 19.31%. These findings indicate that historical revenue patterns alone are insufficient to capture the volatility of TikTok affiliate revenue. Operational variables improved forecast accuracy in this case study, particularly when treated as inputs for conditional forecasting or simulation-based forecasting. Therefore, the results from the regressor-based models should not be interpreted as assumption-free forecasts, but as short-term projections that depend on the availability or simulation of operational inputs.
Copyright (c) 2026 Sri Meri Kurniawati, Fikri Fahru Roji, Diqy Fakhrun Shiddiq https://creativecommons.org/licenses/by/4.0
Analysis of Technostress and Its Impact on Lecturer Performance in Technology-Based Learning
This study investigates technostress among lecturers in private universities under LLDIKTI Region III Jakarta and examines its impact on lecturer performance in technology-based learning environments. Employing a qualitative case study approach, data were collected through semi-structured in-depth interviews with 15 lecturers from various academic ranks, supported by observation and document analysis. Data were analyzed using the interactive model of Miles, Huberman, and Saldaña, involving data condensation, data display, and conclusion drawing. The findings reveal that lecturers experience multiple dimensions of technostress, including techno-overload, techno-invasion, techno-complexity, and psychological strain. Techno-overload emerges as the most dominant form, characterized by increased workload and continuous digital demands. Techno-invasion reflects the erosion of work–life boundaries due to constant digital connectivity, while techno-complexity highlights adaptation challenges to rapidly evolving technologies. These conditions collectively contribute to psychological outcomes such as stress, fatigue, and emotional exhaustion. Although technology enhances instructional flexibility and learning innovation, it simultaneously generates a paradox of increased cognitive and emotional burden. The study further finds that technostress influences lecturer performance in both enabling and constraining ways, depending on individual digital competence and institutional support. Lecturers adopt various adaptive strategies, including peer collaboration, self-directed learning, and participation in training programs, to mitigate technostress. The study concludes that technostress is not merely an individual issue but an organizational phenomenon embedded within digital transformation in higher education. The findings provide implications for developing sustainable digital policies and strengthening institutional support systems to enhance lecturer well-being and performance.
Copyright (c) 2026 Sundari Soekotjo, Dwi Novita Sari, Hardianawati, Indria Sukma Sektiyaningsih, Mintarsih, Pingkan Luciawati Sompi, Rochayati Febriarhamadini, Dina Agnesia Sihombing, Prasastiara Eka Marsella https://creativecommons.org/licenses/by/4.0
The Impact of Discipline and Work Environment of ASN Employees on the Secretariat of DPRD Banggai Regency
This study aims to examine the influence of discipline and work environment on the performance of ASN in the Secretariat of the Banggai Regency DPRD. The data used was quantitative by involving 45 State Civil Apparatus employees as samples. Data was collected through questionnaires and analysis with the help of SPSS. The results of the regression analysis show similarities Y = 7,155 + 0,250X1 + 0,354X2. The value of the correlation coefficient is 0.438 which has a fairly strong relationship between variables. The value of the Determination coefficient means that the contribution of the influence of independent variables on the bound variable is 19.2% and the rest is influenced by other factors outside of this study. The t-test showed that the work discipline variable had an effect but was not significant on employee performance with thitung1,941 < ttabel 2,018 sedangkan variabel lingkungan kerja berpengaruh signifikan terhadap kinerja karyawan dengan nilai thitung 2,605 > ttabel 2,018. The f test shows that the variables of work discipline and work environment simultaneously have a significant influence on the employee performance variables with significance values 4,975 > ttabel 3,22.
Copyright (c) 2026 Adrian Polim, Sri Mulyaningsih Kamaru, Suharman https://creativecommons.org/licenses/by/4.0
Competence as a Mediator of Technical Training and Human Resource Development on the Commitment of Palembang MSME Entrepreneurs
MSMEs are essential for boosting the economy, creating jobs, and enhancing community welfare. Enhancing the commitment of MSME operators is still hampered by issues with human resources (HR) quality, training access, and business legality. This study uses competence as a mediating variable to examine how technical training and HR development affect MSME operators' commitment. The study uses a cross-sectional survey method with an explanatory quantitative approach. 200 SME operators from Palembang City's Ilir Timur II Subdistrict make up the sample, which was chosen by chance. A questionnaire was used to gather the data, and Structural Equation Modeling–Partial Least Squares (SEM-PLS) was used for analysis. The results indicate that technical training and HRD have a positive and significant effect on the commitment of MSME entrepreneurs, with competence acting as a significant mediator. Technical training and human resource development were found to enhance competence, while competence significantly influences commitment. Additionally, competence has a major role in mediating the impact of technical training and human resource development on commitment, making it the main mechanism for enhancing sustainability and corporate loyalty. These findings support the Human Capital Theory, which states that investments in training and human resource development may improve capabilities as human capital and build commitment. Therefore, SME development programs should focus on fostering practical and sustainable competencies to enhance competitiveness and business sustainability. This study suggests that policymakers should prioritize competency-based training and mentoring to strengthen MSME commitment, competitiveness, and sustainability.
Copyright (c) 2026 Devi Aprilia Karisma, Afriyadi Cahyadi, Zunaidah https://creativecommons.org/licenses/by/4.0
Optimizing Digital Marketing and Service Quality to Strengthen Customer Loyalty in Rural Banks’ Digital Transformation Era
This study examines the effects of digital marketing and service quality on customer loyalty, with customer satisfaction serving as a mediating variable, at Perumda Bank Perekonomian Rakyat (BPR) Bank Kota Bogor, Indonesia. The study is motivated by the increasing digital transformation in the banking industry and the growing competition from fintech companies and digital banks, which require rural banks to strengthen customer relationships and maintain competitiveness. A quantitative explanatory approach was employed using survey data collected from 100 active customers selected through purposive sampling to ensure respondents had experience using the bank’s digital services. Data were analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS), which was considered suitable for examining complex relationships among variables with a relatively small sample size. The findings reveal that service quality has a positive and significant effect on customer satisfaction and customer loyalty, while customer satisfaction significantly influences customer loyalty and mediates the relationship between service quality and loyalty. In contrast, digital marketing does not significantly affect customer satisfaction, although it directly influences customer loyalty. Furthermore, customer satisfaction does not mediate the relationship between digital marketing and customer loyalty. These findings indicate that customer loyalty in rural banking is driven more by service quality and customer satisfaction than by digital marketing activities alone. This study contributes to the limited literature on customer loyalty in rural banking and provides practical insights for bank management in strengthening service quality and optimizing digital marketing strategies to enhance long-term customer relationships.
Copyright (c) 2026 Nursamawi, Lucky Hikmat Maulana, Bramastyo Bontas Prastowo https://creativecommons.org/licenses/by/4.0
Can Readable Sustainability Reports Mitigate Greenwashing's Market Consequences?
The growing importance of sustainability issues has increased investors’ attention toward the credibility and quality of corporate sustainability disclosures. This study aims to examine the effects of greenwashing, foreign ownership, and profitability on market valuation and to investigate whether sustainability report readability moderates these relationships. The study contributes to the sustainability and capital market literature by exploring the role of readability in mitigating the market consequences of greenwashing within the energy sector. Using a quantitative approach, this research analyzes panel data from 43 energy companies listed on the Indonesia Stock Exchange during 2021–2024, resulting in 172 firm-year observations. Data was obtained from annual reports, sustainability reports, and audited financial statements. Panel data regression and Moderated Regression Analysis (MRA) were employed to test the proposed hypotheses. The findings reveal that greenwashing, foreign ownership, and profitability significantly affect market valuation. Sustainability report readability is found to weaken the relationship between greenwashing and market valuation, indicating that more readable sustainability disclosures help investors evaluate environmental claims more critically. However, readability does not moderate the relationships between foreign ownership and market valuation or between profitability and market valuation, although it directly contributes to market valuation as a predictor variable. These findings extend Signaling Theory by highlighting the importance of disclosure readability in reducing information asymmetry and improving the credibility of sustainability communication. The study suggests that firms should improve the clarity of sustainability disclosures to enhance transparency and support informed investment decisions.
Copyright (c) 2026 Dewi Ratnawati, Linda Ayu Wulandari, Prima Tri Puspita, Nur Aisyah Ramadhani, Deden Tarmidi https://creativecommons.org/licenses/by/4.0
The Effects of Profitability and Environmental Performance on Firm Value: The Mediating Role of Green Accounting Disclosure in Energy Sector Companies Listed on the Indonesia Stock Exchange
This study is motivated by inconsistent findings regarding the effects of profitability, environmental performance, and green accounting disclosure on firm value, particularly in the energy sector, which faces substantial environmental risks. The study examines the direct effects of profitability and environmental performance on firm value and the mediating role of green accounting disclosure. Using a quantitative causal research design, this study analyzes 34 energy sector companies listed on the Indonesia Stock Exchange during 2020–2024, selected through purposive sampling. Secondary data were collected from annual reports, sustainability reports, and PROPER reports. Profitability was measured by Return on Equity (ROE), environmental performance by PROPER ratings, firm value by Tobin’s Q, and green accounting disclosure by the GRI 300 Index. Data were analyzed using panel data regression and Sobel mediation tests. The results indicate that profitability has no significant effect on firm value or green accounting disclosure. In contrast, environmental performance positively affects both firm value and green accounting disclosure. Green accounting disclosure negatively affects firm value and mediates the relationship between environmental performance and firm value, but not the relationship between profitability and firm value. These findings highlight the importance of environmental performance and sustainability disclosure in shaping firm value within the energy sector.
Copyright (c) 2026 Salis Ragil Wilujeng, Dyarini https://creativecommons.org/licenses/by/4.0
Determinants of LMS Continuance Intention: An Extended UTAUT Approach
This study aims to analyze the factors influencing user satisfaction and continuance intention of Learning Management Systems (LMS) among international students in a mandatory academic ecosystem. This study has significant significance in bridging the theoretical gap between the cognitive adoption model (UTAUT) and the affective post-adoption evaluation (ECM) in a tech-savvy cross-cultural user segment. Using a causal-associative quantitative design, data were collected through a structured online questionnaire from 71 International Undergraduate Program (IUP) student respondents selected through a purposive sampling method. Data analysis was conducted using the Partial Least Squares–Structural Equation Modeling (PLS-SEM) method with the assistance of SmartPLS software version 4.0. The results of the path analysis showed that effort expectancy and social influence had a positive and significant effect on satisfaction, while performance expectancy and facilitating conditions did not show a significant effect. Furthermore, satisfaction was proven to exclusively mediate the effect of effort expectancy on continuance intention of LMS. The implications of this research confirm that in institutionally mandated systems, user motivation shifts to academic compliance. Therefore, higher education institutions are advised to prioritize eliminating everyday technical barriers through intuitive interface design to foster genuine international student satisfaction.
Copyright (c) 2026 Ngakan Nyoman Kutha Krisnawijaya, Ni Made Dhian Rani Yulianti, Ni Putu Dhanan Kumaradewi M, Anak Agung Adi Wiryya Putra https://creativecommons.org/licenses/by/4.0
From Personal Values to Economic Support: A Mediation Model of Attitude Toward a Low‑Carbon Tourism Economy
This study aims to examine the impact of individual values and perceived economic benefits on tourists’ intention to support Low-Carbon Tourism Economy (LCTE) by combining the Value-Belief-Norm Theory (VBN) and Theory of Planned Behavior (TPB). This research used a quantitative method by distributing survey data to 159 respondents of Generation Z who had traveled in the past year. The data were evaluated by testing the measurement model and the structural model using Structural Equation Modeling (SEM) using SmartPLS. The results reveal that biospheric and altruistic values have a significant impact on tourists’ perspective towards a low-carbon tourism sector, meanwhile egoistic values have no significant impact. Furthermore, perceived economic benefits had a direct positive and significant impact towards attitudes to support LCTE. Attitude toward LCTE was also found to strongly influence the behavioral intention and mediate correlations between biospheric and altruistic values and intention to support LCTE. However, attitude failed to mediate the relationship between egoistic ideals and intention to support. The results show that the support for the transition to low-carbon tourism is mostly driven by moral ideals and collective concern, rather than personal self-interest. Therefore, governments and tourist industry stakeholders should establish communication strategies to emphasise the ecological, social and economic benefits of transitioning towards low-carbon tourism in order to attract public support, especially among Generation Z.
Copyright (c) 2026 I Gusti Ayu Agung Pradnya Dewi, Budi Shantika, Caren Angellina Mimaki https://creativecommons.org/licenses/by/4.0
The Influence of Human Resources Information System (HRIS) Implementation on Work Efficiency in the Human Resources Department and Employee Satisfaction at PT Pos Indonesia Main Branch Balikpapan
This study investigates the impact of implementing the Human Resources Information System (HRIS) on the operational efficiency of the human resources department and the satisfaction levels of employees at PT Pos Indonesia Main Branch Balikpapan. The HRIS serves essential functions such as tracking attendance, processing leave requests, updating employee information, conducting performance evaluations, and facilitating internal communication. Utilizing a quantitative methodology, the research surveyed 120 employees who actively engage with HRIS services. Data analysis was performed through descriptive statistics and multiple linear regression techniques. Findings reveal a positive correlation between HRIS utilization and both work efficiency and employee satisfaction. Specifically, the R² value of 0.428 indicates that HRIS accounts for a significant portion of the variability in work efficiency, while the R² value of 0.396 reflects its influence on employee satisfaction. These results underscore the role of HRIS in streamlining administrative processes, minimizing errors, and enhancing information accessibility. Despite these favorable outcomes, it remains crucial for the organization to invest in user training, ongoing support, and system maintenance to maximize the advantages of HRIS across the board.
Copyright (c) 2026 Ahmad Ahmad, Rian Ubaidillah https://creativecommons.org/licenses/by/4.0
Utilization of Agentic AI in Financial Decision-Making: Optimizing Risk Profiles, Predicting Loan Approvals, and Automating Treasury Management in Digital Banking
This research investigates the role of agentic AI in enhancing financial decision-making within digital banking, concentrating on customer risk profiling, loan approval predictions, and the automation of treasury management. Utilizing a literature review approach, the study examines relevant sources on artificial intelligence, machine learning, credit risk, loan analysis, and banking risk management. The results reveal that agentic AI enables banks to identify transaction patterns, evaluate repayment capabilities, and estimate credit risks while offering initial recommendations for loan approvals. Furthermore, in treasury operations, agentic AI facilitates cash flow monitoring, liquidity forecasting, and agile funding management. However, the integration of this technology brings forth challenges, including data bias, information security concerns, accountability in decision-making, and the necessity for human oversight. It is crucial to view agentic AI as a tool that complements rather than replaces human analysts and management. To align its use with prudent banking practices, it is vital to enhance data governance, conduct thorough model audits, safeguard customer information, and clearly define system authority limits.
Copyright (c) 2026 Made Susilawati https://creativecommons.org/licenses/by/4.0
Implementation of SCM System in Distribution and Stock at Ozan Glass Store
The increasingly rapid development of the business world requires business actors to be able to manage their operational activities more effectively and efficiently. In this study, problems that often occur at the Ozan Glass Shop, such as the process of managing product and inventory data, which is still carried out simply, so that there is often a discrepancy between stock data and actual conditions. The unintegrated inventory monitoring process also makes it difficult to control stock levels and has the potential to cause shortages or stockpiles of goods. These conditions cause the available information to be less than optimal as a basis for decision making, so that the implementation of a Supply Chain Management (SCM) system is needed to improve the effectiveness of inventory management and product distribution. In addition, through the main discussion carried out in this study aims to be able to understand the process of product distribution from suppliers to the Ozan Glass Shop and its obstacles, determine the implemented stock management and monitoring system and analyze distribution and inventory to improve operational efficiency and reduce problems that occur in the store's business activities. Based on the overall description in this study, the author can conclude that the implementation of the Supply Chain Management (SCM) system at the Ozan Glass Shop has succeeded in improving the effectiveness of inventory management and product distribution. Before the system was implemented, operational processes were still carried out manually, resulting in frequent stock data discrepancies, delays in information, recording errors and difficulties in monitoring order status and distribution. This research resulted in a web-based SCM system capable of integrating stock management, orders, procurement, and distribution within a single platform. Implementation results show that the system can provide real-time inventory information, improve data accuracy, accelerate administrative processes, and facilitate product distribution monitoring. Furthermore, the system is capable of generating more structured and informative reports, supporting faster and more accurate decision-making. The system's implementation also resulted in increased operational efficiency, reduced recording errors, and improved customer service quality.
Product Distribution Process Improvement
Copyright (c) 2026 Mufti Hafiz, Nurwati, Abdul Karim Syahputra https://creativecommons.org/licenses/by/4.0
SCM Prototype Design Using Economic Order Quantity (EOQ) Method to Improve Decor Material Inventory Performance
The decoration industry is experiencing rapid growth along with the increasing public demand for decoration services for homes, cafes, commercial spaces, and various other aesthetic needs. This growth requires companies to have an effective inventory management system to ensure the availability of decorative materials and ensure optimal operational processes. However, actual conditions at Rahani Homedecor show that inventory management is still carried out manually, resulting in various problems, such as delays in stock recording, difficulties in monitoring stock availability, suboptimal procurement processes, and a high risk of excess or shortage of inventory. This study aims to design a Supply Chain Management (SCM) prototype using the Economic Order Quantity (EOQ) method to improve the performance of decorative material inventory management. The research method used is a descriptive qualitative approach through observation, interviews, and analysis of ongoing business processes. The EOQ method is applied to determine the optimal order quantity so that the procurement process can be carried out in a more planned and economical manner, while the SCM concept is used to integrate the flow of information between inventory, suppliers, and the purchasing process. The results show that the EOQ-based SCM prototype can help inventory management become more structured, organized, and easily controlled. The system developed facilitates user management of product data, supplier data, and purchasing transactions in a computerized manner, resulting in faster and more efficient work. Furthermore, the application of the EOQ method helps companies determine optimal order quantities based on inventory needs. Based on these results, it can be concluded that the application of SCM with the EOQ method can improve the effectiveness and efficiency of decorative material inventory management and support the smooth operation of the company.
Optimization of Decor Material Inventory
Copyright (c) 2026 Dina Triana, Muhammad Iqbal, Rohminatin https://creativecommons.org/licenses/by/4.0
The Influence of Government Policies and the Berani Cerdas Program of Central Sulawesi Province on the Competence of Scholarship Recipients at Tadulako University
This study aims to examine the influence of government policies and the Central Sulawesi Smart Brave Scholarship Program on student competence at Tadulako University. A quantitative survey approach was employed involving 370 scholarship recipients from the 2025/2026 academic year. Data were collected through a Likert-scale questionnaire and analyzed using descriptive statistics and multiple linear regression. The findings indicate that the implementation of government policies was perceived at a moderate level (mean = 74.07), while the Smart Brave Program was categorized as fairly effective (mean = 37.39). Student competence was found to be in the good category (mean = 46.46). Regression analysis revealed that government policies and the Smart Brave Program have a significant positive effect on student competence (p < 0.05). Furthermore, the coefficient of determination (R² = 0.576) shows that 57.6% of the variation in student competence can be explained by these two factors. These findings suggest that effective policy implementation and scholarship support play an important role in enhancing students’ competencies and academic development in higher education.
Copyright (c) 2026 Fahmi Surya Abdi, Isbon Pageno, M. Nuralamsyah https://creativecommons.org/licenses/by/4.0
The Role of Training and Development with Employee Involvement in Improving Employee Performance at PT Torabika Eka Semesta
Background: In the current era of intensified global competition and digital transformation, the manufacturing sector faces mounting pressure to sustain productivity through effective human resource practices. PT Torabika Eka Semesta, a subsidiary of the Mayora Group operating in Indonesia's food and beverage industry, has recently experienced a decline in production-target achievement, indicating potential weaknesses in employee competency development and engagement. Objective: This study analyzes the effect of training and development and employee engagement on employee performance, both partially and simultaneously. Method: A quantitative associative research design was applied, using primary data collected through a structured questionnaire measured on a five-point Likert scale. Sample: A saturated sampling technique was used, yielding 80 respondents from the production department of PT Torabika Eka Semesta. Statistical analysis: Data were processed using SPSS version 27, including validity, reliability, classical assumption tests (normality, linearity, multicollinearity, heteroscedasticity), multiple linear regression, coefficient of determination, t-test, and F-test. Main findings: Training and development had a positive and significant effect on employee performance (t = 2.805; p = 0.006), employee engagement had a positive and significant effect (t = 4.866; p = 0.000), and both variables simultaneously influenced employee performance (F = 11.919; p = 0.000), with an adjusted R² of 0.236. Employee engagement emerged as the dominant predictor. Practical implications: These findings provide practical implications for managers at PT Torabika Eka Semesta and other manufacturing companies by emphasizing that continuous competency development programs combined with strategies to strengthen employee engagement can improve productivity, work quality, and organizational competitiveness. Originality/value: The study contributes to human resource management literature by empirically integrating training and development with employee engagement within the underexplored context of Indonesia's food and beverage manufacturing industry.
Copyright (c) 2026 Nike Talitha Imtyaz Naila, Enawar, Yanthi Meitry Gunawan https://creativecommons.org/licenses/by/4.0
Application of Design Thinking and User Experience Questionnaire (UEQ) in a WooCommerce Based E-Commerce Platform
The rapid growth of e-commerce has placed increasing pressure on small and medium-sized enterprises (MSMEs) to adopt user-centered digital platforms that meet evolving consumer expectations. This study aims to design and evaluate the user interface (UI) and user experience (UX) of a WooCommerce-based e-commerce platform using the Design Thinking methodology and the User Experience Questionnaire (UEQ). The research employed a quantitative-descriptive approach, involving 88 respondents drawn from the School of Business and Management at Logistik dan Bisnis Internasional University using the Slovin formula. The Design Thinking process was applied across five iterative stages Empathize, Define, Ideate, Prototype, and Test to generate a High-Fidelity (Hi-Fi) prototype responsive to user needs. UEQ evaluation results indicate that the redesigned platform achieved Excellent ratings for Attractiveness (mean = 1.778) and Dependability (mean = 1.710), Good ratings for Efficiency (mean = 1.776), Stimulation (mean = 1.599), and Novelty (mean = 1.122), and an Above Average rating for Perspicuity (mean = 1.696). These findings confirm that the Design Thinking approach effectively improves UI/UX quality for WooCommerce-based platforms, contributing to enhanced digital adoption among MSMEs. Future research is recommended to extend the evaluation to a broader and more diverse user population.
Copyright (c) 2026 Ulya Yumna Salsabila, Nava Gia Ginasta, Dita Helmalia Suri https://creativecommons.org/licenses/by/4.0
The Rise of E-Commerce: Manus AI Powered Product Generation Before Sales Execution
Manus AI, an autonomous AI agent introduced in 2025, enables fashion businesses to generate product visualizations before physical production, supporting the sell-it-before-you-make-it approach. This study evaluates the implementation of Manus AI in pre-production fashion product development for e-commerce. A quantitative descriptive-explanatory approach was employed using two datasets: a survey of 70 fashion MSME owners to assess AI awareness and an evaluation of Manus AI-generated visualizations by 88 respondents using a five-point Likert scale. The results show that 58.6% of MSME owners had no prior knowledge of AI, indicating limited AI readiness. However, the visualizations generated by Manus AI were positively evaluated, with all indicators rated Good to Very Good (mean = 3.80–4.30). Respondents perceived that Manus AI produced realistic and market-oriented visualizations that support product validation before production while reducing prototype costs, development time, and material waste. These findings demonstrate that Manus AI can support more efficient and sustainable product development while emphasizing the importance of improving AI literacy among fashion MSMEs.
Copyright (c) 2026 Dita Helmalia Suri, Nava Gia Ginasta, Rahma Hanum https://creativecommons.org/licenses/by/4.0
Performance Analysis of the Subak Soka Management Based on Competence, Work Motivation, and Transformational Leadership
The purpose of this study is to empirically prove the influence of competence, work motivation, and transformational leadership on the performance of Subak Soka Tabanan administrators. The novelty of this study lies in the use of modern variables of transformational leadership; competencies applied to traditional Subak organizations. Previous studies generally focus on modern organizations, while empirical research examining this organizational behavior variable in the context of traditional community-based institutions such as Subak is still very limited. In this study, a saturated sample was used, namely all 41 Subak Soka Tabanan administrators. This study employed a quantitative research approach, with data collected through a questionnaire utilizing a five-point Likert scale. To investigate the interrelationships among the variables included in the study, multiple linear regression analysis was conducted with the support of IBM SPSS version 22. The results of the study indicate that partially competence, work motivation, and transformational leadership have a positive and significant influence on the performance of Subak administrators. Simultaneously, the three independent variables have a significant influence on the performance of Subak Soka Tabanan administrators.
Copyright (c) 2026 I Wayan Wahyu Indra Sari, I Nengah Suarmanayasa, Trianasari https://creativecommons.org/licenses/by/4.0
The Effect of Sales Promotion on Impulse Buying: The Role of Fear of Missing Out (FoMO) as a Moderating Variable in Tokopedia Consumers
The fast increase in online shopping in Indonesia has made it harder for e-commerce platforms to stand out from each other. Despite Tokopedia actively holding mega sale campaigns to boost sales, its conversion rate remains low at only 1–1.5%, and its Gross Merchandise Value (GMV) continues to decline while Shopee's visitor numbers and GMV show an upward trend. This condition suggests that impulse buying behavior among Tokopedia users has not been optimally stimulated despite large scale promotions being held. This study looks into haw sales promotion influence impulse buying and checks how fear of missing out (FoMO) affects this relationship among Tokopedia users during big sale events. Through the use of questionnaires given to 104 individuals, data was collected and then analysed using Moderated Regression Analysis (MRA) as a quantitative method. The findings indicate that sales promotions lead to more impulse buying, and feeling anxious about missing out makes this effect even stronger. This means people who experiemce higher levels of FoMO are more likely to make impulse buying when they see promotional offers. These findings imply that promotional strategies designed to generate urgency will be more effective when consumers have high levels of FoMO.
Copyright (c) 2026 Lusi Susilawati, Wala Erpurini https://creativecommons.org/licenses/by/4.0
Implementation of the Apriori Algorithm for Product Recommendation Analysis at Asyifa Serba 35.000 Retail Store in Kisaran
This study aims to implement the Apriori algorithm to analyze sales transaction data and generate product recommendations at Toko Asyifa Serba 35.000. The research addresses the problem of underutilized transaction data, where sales records are only used for administrative purposes without further analysis to support marketing strategies and decision-making. The significance of this study lies in its contribution to enhancing data-driven decision-making in retail businesses, particularly in improving product promotion strategies, inventory management, and customer satisfaction. The research adopts an applied quantitative approach with an experimental design. Data were collected through observations, interviews, and documentation of sales transactions, and analyzed using data mining techniques, specifically the Apriori algorithm, to identify frequent itemsets and association rules based on support and confidence values. The results indicate that the implementation of the Apriori algorithm successfully uncovers patterns of consumer purchasing behavior, revealing combinations of products frequently bought together. The generated recommendations provide practical benefits for retail management, including more effective product bundling strategies, optimized shelf arrangement, targeted promotional campaigns, and improved inventory planning. These improvements can contribute to increased sales opportunities and better customer shopping experiences. These findings enable the development of a recommendation system that provides accurate and relevant product suggestions. The study concludes that the application of Apriori-based recommendation systems improves sales effectiveness, optimizes product placement, and enhances customer satisfaction. It is recommended that retail businesses adopt data mining techniques to maximize the value of transaction data and further develop integrated recommendation systems for better decision support.
Copyright (c) 2026 Ardiansyah Putra Tambunan, Adi Prijuna Lubis, Parini https://creativecommons.org/licenses/by/4.0
The Effect of Social Commerce Platforms and Perceived Product Quality on Product Sales Growth, Moderated by Digital Promotional Strategies: A Case Study at Zahra Store in Tebo Regency, Jambi Province
This study aims to analyze the influence of social commerce platforms and product quality perception on the increase in cosmetics sales, with digital promotion strategies serving as a moderating variable among Zahra Store customers in Tebo Regency, Jambi Province. Amidst intense competition in the cosmetics industry, local MSMEs face challenges in market reach, making the integration of social commerce and product excellence critical to explore. Employing a quantitative approach with an explanatory research design, data were collected from February to May 2026 via questionnaires based on a 5-point Likert scale administered to 150 purposively sampled respondents. The data were analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS) via SmartPLS 4. The structural model evaluation shows an R-square value of 0.586, indicating that platform social commerce and product quality perception simultaneously explain 58.6% of the variance in sales growth. Individually, product quality perception (β = 0.566, t = 12.813, p = 0.000) and platform social commerce (β = 0.458, t = 9.271, p = 0.000) exert positive and significant direct effects on product sales increase. Conversely, digital promotion strategy shows neither a significant direct effect (β = 0.119, p = 0.096) nor a significant moderating role in the model (p > 0.05). These findings imply that regional retail sales are primarily driven by direct platform utility and core product quality, rather than external promotional gimmicks. Practically, local MSMEs in non-urban sectors should focus their limited resources on maintaining high product reliability and optimizing native interactive features such as direct chat responsiveness and seamless catalog access instead of investing heavily in high-cost digital advertisement campaigns.
Copyright (c) 2026 Chairunnisa Azzahra, Vivi Yosefri Yanti, Rita Zunarti https://creativecommons.org/licenses/by/4.0
Pro-Human Rights Leadership on Human Rights-Based Digitalization: Moderating Role of Organizational Culture in University
This research aims to examine the effect of pro-human rights leadership on human rights-based digitalization with organizational culture as a moderating variable in universities. This study uses a quantitative approach with an explanatory design. Data were collected from lecturers and students at Universitas Peradaban using purposive sampling. A total of 455 respondents participated in this research. Data analysis employed Structural Equation Modeling (SEM) to examine the direct and moderating relationships among variables. The findings indicate that pro-human rights leadership positively and significantly affects human rights-based digitalization. Leaders who prioritize fairness, inclusiveness, transparency, and human rights protection are more capable of encouraging ethical and human-centered digital transformation in universities. Furthermore, organizational culture significantly strengthens the relationship between pro-human rights leadership and human rights-based digitalization. Universities with organizational cultures that support human rights values and digital ethics tend to enhance the effectiveness of leadership in implementing inclusive and responsible digital systems. The novelty of this research lies in integrating human rights perspectives into digital transformation studies in higher education and introducing organizational culture as a moderating factor in the relationship between pro-human rights leadership and human rights-based digitalization.
Copyright (c) 2026 Sri Wartulas, Surahmadi, Agung Prayogi https://creativecommons.org/licenses/by/4.0
Purchase Intention on Instagram: The Roles of Digital Pricing Strategy, Social Media Engagement, and Perceived Value
The widespread growth of social media has fundamentally reshaped how consumers make purchasing decisions and opened new avenues for businesses to shape buying behavior through digitally-driven marketing approaches. This study investigates how Digital Pricing Strategy, Social Media Engagement, and Perceived Value affect Purchase Intention among Health Administration students who use Instagram as a marketing platform. An explanatory quantitative approach was adopted using survey-based data collection. Structured questionnaires were distributed to 137 students selected through purposive sampling. The data were subsequently analyzed using PLS-SEM with the aid of SmartPLS 4 software. Findings reveal that Digital Pricing Strategy positively and significantly predicts Purchase Intention (β = 0.287, p < 0.001). Social Media Engagement emerged as the strongest predictor among the variables examined (β = 0.409, p < 0.001). Perceived Value, however, failed to reach statistical significance (β = 0.194, p = 0.058), suggesting that students' intention to buy on Instagram tends to be shaped more by social interaction dynamics, engagement features, and exposure to promotions than by rational assessments of product worth. The structural model accounted for 27.4% of the variance in Purchase Intention (R² = 0.274), indicating that the variables under study contribute meaningfully, though a considerable portion of unexplained variance points to the influence of factors beyond the scope of this model. These results underline the strategic value of fostering interactive engagement and implementing well-designed digital pricing approaches to drive purchase intention on social media. This study enriches the existing body of knowledge on digital marketing and consumer behavior while offering actionable guidance for businesses aiming to strengthen their Instagram marketing performance through deeper consumer engagement and more competitive pricing mechanisms.
Copyright (c) 2026 Syahdan Muhada Assyaf, Ahmad Risman, Rita Zunarti https://creativecommons.org/licenses/by/4.0
The Effect of Financial Literacy and Financial Socialization on Financial Management Behavior of Investors in Greater Bekasi
Financial intelligence refers to an individual's ability to effectively manage and utilize financial resources, which is considered an important indicator of success in personal financial management. Proper financial management enables individuals to maximize the value of their financial resources and protect themselves from potential financial difficulties. This study aims to examine the effects of financial literacy and financial socialization on the financial management behavior of investors in the Greater Bekasi area following the COVID-19 pandemic. A quantitative research approach was employed, with data collected through questionnaires distributed to 100 investors residing in the Greater Bekasi area. The data were analyzed using the Partial Least Squares Structural Equation Modeling (PLS-SEM) approach with SmartPLS software. The analysis involved the assessment of the measurement model (outer model) and the structural model (inner model) to evaluate the validity, reliability, and hypothesized relationships among variables. The results indicate that financial literacy has a positive and significant effect on financial management behavior (p-value = 0.000), suggesting that higher levels of financial knowledge contribute to better financial decision-making and management practices. Financial socialization also demonstrates a positive influence on financial management behavior; however, the effect is not statistically significant at the 5% significance level (p-value = 0.093). These findings highlight the important role of financial literacy in shaping investors’ financial management behavior in the post-pandemic period.
Copyright (c) 2026 Muhamad Syahwildan, Nugraha, Nono Supriatna, Toni Heryana https://creativecommons.org/licenses/by/4.0
Performance Analysis of the SimInvest Application Programming Interface Using Load Testing
This study evaluates the performance capacity of the SimInvest application programming interface (API), with emphasis on stock transaction and portfolio services that are frequently accessed during peak market activity. The study used an applied performance-testing design through Apache JMeter by simulating concurrent user loads of 100, 500, 1,000, 2,000, and 4,000 users. The observed indicators were response time, transactions per second, and error rate. The findings show that the application remained usable under 100 and 500 concurrent users, with low aggregate error rates of 4.80% and 4.48%, although several history-related endpoints already showed failed requests. When the load reached 1,000 users, the total error rate increased to 53.17%, indicating a clear decline in service reliability. Under 2,000 and 4,000 users, the system recorded error rates of 49.04% and 65.32%, with repeated failures in Account Cash, Cash Withdrawal, Order List, Portfolio, RDN History, RDN Info, and Trade List services. These findings indicate that the present infrastructure requires API optimization, query tuning, server-capacity improvement, load balancing, and real-time monitoring to maintain reliable fintech services during traffic spikes.
Copyright (c) 2026 Cut Dahri Fajrina El Qahar, Dewi Agushinta Rahayu, Lana Sularto https://creativecommons.org/licenses/by/4.0
Consumer Segmentation With K-Means at Lucky Shop Tanjungbalai
Consumer segmentation is an important strategy for improving marketing effectiveness and inventory management in retail businesses. Lucky Shop Tanjungbalai faces challenges in understanding diverse customer purchasing patterns, making it difficult to develop targeted marketing strategies. This study aims to apply the K-Means Clustering method to classify consumers based on purchasing behavior patterns. The data used consisted of 15 customer transaction records collected from Lucky Shop Tanjungbalai, with attributes including purchase frequency, quantity of purchased products, and product categories. This research adopted a qualitative approach combined with data mining techniques using the CRISP-DM framework, which consists of business understanding, data understanding, data preparation, modeling, evaluation, and deployment. The system was developed using PHP and MySQL. The results indicate that K-Means Clustering successfully segmented customers into Loyal Customers and Occasional Customers based on their purchasing characteristics. These segmentation results provide practical benefits for Lucky Shop by enabling more targeted promotional programs, improving customer relationship strategies, optimizing inventory planning, and supporting data-driven business decision-making. Therefore, the implementation of K-Means Clustering can serve as an effective solution for customer segmentation in local retail businesses.
Copyright (c) 2026 Reza Ahmad Fauzi, Masitah Handayani, Parini https://creativecommons.org/licenses/by/4.0
Beyond Administrative Duties: The Role of Conflict, Competence, and Work Motivation in Enhancing Archivists’ Performance at Universitas Pendidikan Ganesha
This study aims to analyze the influence of role conflict, competence, and work motivation on archivists’ performance at Universitas Pendidikan Ganesha. The research was conducted to understand how organizational and individual factors affect the effectiveness of archival management in higher education institutions. A quantitative research approach was employed using a survey method. Data were collected through questionnaires distributed to 76 archivists and archival staff working in various administrative units within the university. The collected data were analyzed using multiple linear regression with the assistance of SPSS software. Prior to hypothesis testing, the research instrument was tested for validity and reliability, and classical assumption tests including normality, multicollinearity, and heteroscedasticity were conducted to ensure the suitability of the regression model. The results reveal that role conflict does not have a significant effect on archivists’ performance. In contrast, competence and work motivation have positive and significant effects on archivists’ performance. Simultaneously, role conflict, competence, and motivation significantly influence archivists’ performance, with the regression model explaining 44.4% of the variance in performance. Competence emerged as the most dominant variable affecting performance. These findings imply that improving archivists’ competence and strengthening work motivation are essential strategies for enhancing archival performance in higher education institutions. Future studies are recommended to include additional organizational and technological factors to obtain a more comprehensive understanding of archivists’ performance.
Copyright (c) 2026 Putu Suadharma, Komang Krisna Heryanda, M. Rudi Irwansyah https://creativecommons.org/licenses/by/4.0