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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 608 Documents
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Application of the KNN Algorithm to Assess Customer Satisfaction at A2 Collection Sei Silau Timur Lutfi Anniswa Sitorus; Jeperson Hutahaean; Cecep Maulana
International Journal of Management Science and Information Technology Vol. 6 No. 1 (2026): January - June 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i1.6813

Abstract

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.
The Impact of Safeguard Import Duty (BMTP) Policies and Macroeconomic Factors on Textile Import Volumes in Indonesia I Gusti Ayu Agung Istri Dinda Larasshanti Jelantik; Komang Widhya Sedana Putra P
International Journal of Management Science and Information Technology Vol. 6 No. 1 (2026): January - June 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i1.6900

Abstract

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.
The Use of the K-Means Algorithm as a Method for Grouping Major Interests of Class X Students of SMK Satrya Budi 1 Commerce Handina Ananda Putri; Herman Saputra; Yori Apridonal M
International Journal of Management Science and Information Technology Vol. 6 No. 1 (2026): January - June 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i1.6902

Abstract

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).
The Effect of Perceived ROI on Perceived Value and Adoption Intention Rizki Pratama Johanis Paransa; Rr. Chusnu Syarifa Diah Kusuma; Fajar Wahyu Nugroho; Kurnia Wulandari
International Journal of Management Science and Information Technology Vol. 6 No. 1 (2026): January - June 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i1.6926

Abstract

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.
Strategic Management and Market Feasibility of Tegal Tourism: A Digital Transformation Perspective Dwi Novita Cahyaningtyas Permatasari; Deddy Kurniawan Halim; Dinar Sukma Pramesti; Vivi Vivi
International Journal of Management Science and Information Technology Vol. 6 No. 1 (2026): January - June 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i1.6964

Abstract

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.
Evaluation of the Effectiveness of Using Yokke EDC in Supporting Payment Transactions at Alfamart in the Banda Aceh Region Kiki Putri Amelia; Melvi Havizatun; Nabil Aufar
International Journal of Management Science and Information Technology Vol. 6 No. 1 (2026): January - June 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i1.6585

Abstract

The development of digital payment technology is driving retail merchants like the development of digital payment technology encourages retail merchants like Alfamart to provide fast and efficient transaction services. Electronic Data Capture (EDC) has become a key tool in supporting cashless payments, including Yokke EDC, which has been widely implemented at various Alfamart outlets in Banda Aceh. This study aims to evaluate the effectiveness of using the Yokke EDC based on four indicators: transaction speed, device reliability, ease of use, and customer satisfaction. This research method uses a quantitative approach with a questionnaire distributed to 35 employes. The research results indicate that Yokke EDC is considered effective in supporting payment transactions, although there are limitations such as unstable network connectivity at certain times. Overall, the Yokke EDC plays an important role in improving the quality of payment services at Alfamart Banda Aceh.
Determinants of Electric Motorcycle Purchase Intention in Surabaya: An Analysis of Environmental Awareness, Green Price, Attitude, and Financial Well-being Maqbula Arochman; Titik Inayati; Surenggono Surenggono
International Journal of Management Science and Information Technology Vol. 6 No. 1 (2026): January - June 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i1.6786

Abstract

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.
Capital Structure in the Context of Taxation and Financial Access: A Theoretical Synthesis Mujiyati Mujiyati; Imronuddin Imronuddin; Anton Agus Setyawan
International Journal of Management Science and Information Technology Vol. 6 No. 1 (2026): January - June 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i1.6856

Abstract

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.
Human Capital Efficiency and Firm Value: Empirical Evidence on Companies Listed on the Indonesia Stock Exchange Leni Hartati; RR. Ella Evrita H
International Journal of Management Science and Information Technology Vol. 6 No. 1 (2026): January - June 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i1.6927

Abstract

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.
Service Promotion Strategies in the Digital Economy Era: Leveraging Technology and Electronic Communications to Face Challenges and Seize Opportunities Sinarwaty Sinarwaty; Rachmiani Rachmiani
International Journal of Management Science and Information Technology Vol. 6 No. 1 (2026): January - June 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i1.6952

Abstract

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.

Page 35 of 61 | Total Record : 608

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