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International Journal of Management Science and Information Technology (IJMSIT)
Published by Lembaga Komunitas Informasi Teknologi Aceh
ISSN : 27767388     EISSN : 27745694     DOI : https://doi.org/10.35870/ijmsit
Core Subject : Economy, Science,
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance
The development of science related to good technology, information, and communication, both theoretically and empirically has proven to have a positive impact on various aspects of people lives. The development of the science of Information and Communication Technology provides many benefits to increase the effectiveness and efficiency in various activities in various fields of science.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Menejemen Teknologi dan Inovasi
Articles 360 Documents
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The Impact of Work-Life Balance and Hybrid Work on Job Satisfaction: The Mediating Role of Music in the Workplace Nuriyanto, Agung Rachmad; Mardani, Ronny Malavia; Nurhidayah, Nurhidayah
International Journal of Management Science and Information Technology Vol. 6 No. 1 (2026): January - June 2026
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET) - Lembaga KITA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i1.6954

Abstract

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.
Analyzing the Determinants of Employee Performance in Public Healthcare: A Cross-Sectional Quantitative Study in a Community Health Center in Buleleng Regency Setiyawati, Dian; Suarmanayasa, I Nengah; Meitriana, Made Ary
International Journal of Management Science and Information Technology Vol. 6 No. 1 (2026): January - June 2026
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET) - Lembaga KITA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i1.6974

Abstract

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.
Guest Perception of Service Quality Decline Due to Employee Multitasking in the Era of Digital Transformation in Star-Rated Hotels Suyamto, Suyamto; Deliana, Dian; Purbosaputro, Erwin; Sujatmiko, Sujatmiko
International Journal of Management Science and Information Technology Vol. 6 No. 1 (2026): January - June 2026
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET) - Lembaga KITA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i1.6978

Abstract

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.
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 Kusumawardani, Yulia; Rahmawati, Putu Indah; Sayang Telagawathi, Ni Luh Wayan
International Journal of Management Science and Information Technology Vol. 6 No. 1 (2026): January - June 2026
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET) - Lembaga KITA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i1.6985

Abstract

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.
Optimizing the Human Resource Management Function in Improving Employee Performance in the Digital Era at PT Bahana Swara Asembagus Bahanan, Yasmin Naini; Sri Darmawati, Lusi Endang; Jannah, Raudatul
International Journal of Management Science and Information Technology Vol. 6 No. 1 (2026): January - June 2026
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET) - Lembaga KITA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i1.6987

Abstract

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.
Mediation of Purchase Interest: The Influence of Price, Product Quality and Social Media Promotion on The Purchase Decision of AMDK in Bondowoso Regency Wikarsono, Rolis; Santoso, Budi; Qomariah, Nurul
International Journal of Management Science and Information Technology Vol. 6 No. 1 (2026): January - June 2026
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET) - Lembaga KITA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i1.7051

Abstract

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.
Physical Humanlikeness as A Moderator of The Relationship Between AI Influencer Marketing and Purchase Intention Rahyono, Rahyono; Nursari, Ayu; Wuryanti, Lestari; Pratama, Reza Hardian
International Journal of Management Science and Information Technology Vol. 6 No. 1 (2026): January - June 2026
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET) - Lembaga KITA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i1.7072

Abstract

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.
Implementation of A Human Resource Development Model Based on Coaching in Small and Medium Pempek Businesses in Palembang City Trihandayani, Zaleha; Cahyani, Eni; Abdullahi, Usman Magaji; Hasabi Groniko, M. Naufal
International Journal of Management Science and Information Technology Vol. 6 No. 1 (2026): January - June 2026
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET) - Lembaga KITA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i1.6868

Abstract

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.
AI-Enhanced Remote Sensing for Forest Fire Mitigation: Integrating UAV and Satellite Imagery to Strengthen Indonesia's National Security Purna Dewi, Anggi Pradikti; Supriyadi, Asep Adang
International Journal of Management Science and Information Technology Vol. 6 No. 1 (2026): January - June 2026
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET) - Lembaga KITA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i1.6981

Abstract

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.
Continuous Regression Models for Mapping the Smartphone Addiction Spectrum Using Random Forest Regressor Aditya Saputra, Eka; Sunarya, I Made Gede; Suputra, Putu Hendra
International Journal of Management Science and Information Technology Vol. 6 No. 1 (2026): January - June 2026
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET) - Lembaga KITA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i1.7098

Abstract

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.

Page 36 of 36 | Total Record : 360

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