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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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Optimizing Natural Resource Products through Sustainable Branding, Human Capital Strengthening, and Financial Resilience in the Age of Millennial and Gen Z Consumers Ni Luh Laksmi Rahmantari; Agus Putra Mardika; I Gusti Ayu Lia Yasmita; I Putu Dharmawan Suryagita Susila Putra; Ni Komang Mela Tri Utari
International Journal of Management Science and Information Technology Vol. 5 No. 2 (2025): July - December 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v5i2.5961

Abstract

This paper explores sustainable branding, human resource capability, and financial sustainability on anesthetic competitiveness of nursery product in Millennial and Gen Z era consumers. Despite young consumers’ strong environmental concern, an attitude–behavior gap is observed between their attitudes and actual purchasing behavior. From interviews with 20 informants including young consumers, producers and fintech developers we conclude that sustainability matters, but only if authenticity and transparency are there to back it up. The challenges for producers are often reduced digital skills, weak financial literacy, and difficult access to capital. These constraints inhibit their ability to market sustainably, generate innovations, and manage financial risks. The research recommends that natural resource enterprises should include sustainable brand credence, robust human resources capability, and better financial resilience in order to thrive and grow in the era of digitalization and environmental awareness in Indonesia.
Tableau-Based Business Intelligence Analysis For the 4P Strategy and Product Sales KPIs in Vending Machines at Minori Group Lambok Rommy Sulaeman; Chowal Jundy Kumoro; Syaban Maulana; Davina Clarissa Rabbani
International Journal of Management Science and Information Technology Vol. 5 No. 2 (2025): July - December 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v5i2.5979

Abstract

This study aims to analyze the application of Business Intelligence (BI) using Tableau in supporting data-driven decision making in the marketing mix strategy (4Ps) and Key Performance Indicators (KPIs) for vending machine product sales at Minori Group. With the increasing need for efficiency and competition in the South Cikarang industrial area, Minori Group faces challenges in integrating marketing and sales data scattered across various sources. The research method used is a descriptive quantitative approach with the following stages: data collection from vending machine applications, data cleaning using Excel, integration into Tableau for visual analysis, interpretation of visualization results, and preparation of strategic recommendations. The results show that visualization with Tableau is able to provide a comprehensive picture of product performance based on the aspects of Product, Price, Place, and Promotion. The main findings show that inconsistent product placement per slot (BIN) causes sales analysis to be less accurate, while KPI calculations reveal significant variations in performance between products. Tableau has proven to be effective in helping management identify sales patterns, high-performing products, and areas that need to be optimized through promotional strategies and slot rearrangement. The integration of Marketing Mix theory, Business Intelligence, and Technology Acceptance Model (TAM) confirms that Tableau not only serves as a visualization tool, but also as a strategic platform in building a data-driven organizational culture. The implementation of BI through Tableau is expected to increase marketing effectiveness, operational efficiency, and company profitability.
The Effect of Environmental Disclosure and Green Innovation on Firm Value Ahmad Rifqi Hidayat
International Journal of Management Science and Information Technology Vol. 5 No. 2 (2025): July - December 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v5i2.6017

Abstract

This study aims to analyze the effect of environmental disclosure and green innovation on firm value. The research employs a quantitative approach using correlation analysis and panel data regression, assisted by EViews 12 software. The data consist of secondary data obtained from the annual financial reports of 20 companies listed on the Indonesia Stock Exchange during the 2020–2024 period, resulting in 100 observations. The empirical results indicate that environmental disclosure has a significant positive effect on firm value, while green innovation does not show a significant influence. These findings suggest that transparent environmental disclosure plays a crucial role in enhancing firm value by strengthening investor confidence. Practically, this study provides insights for investors in evaluating corporate sustainability performance and encourages companies to improve the quality of their environmental disclosures and green innovation strategies to support long-term sustainability and value creation.
Customer Satisfaction Based on Marketing Mix Strategy (7P) at PT Tirta Perkasa Sejahtera Bondowoso Inge Cellianada Cahyono; Dani Kurniawan; Indri Agustin; Arik Muji Winarni; Setiyo Budi Tripriyono; Maghfur El Muhammady; Nurul Qomariah; Nursaid Nursaid; Mu’ah Mu’ah
International Journal of Management Science and Information Technology Vol. 5 No. 2 (2025): July - December 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v5i2.6087

Abstract

This study aims to describe customer satisfaction based on the marketing mix strategy (7Ps) which includes product, price, place, promotion, people, process, and physical evidence at PT Tirta Perkasa Sejahtera Bondowoso. This study uses a qualitative approach with a descriptive research type. Data were obtained through in-depth interviews, direct observation, and documentation related to the company's service and marketing activities. Data analysis was carried out through the stages of data reduction, data presentation, and conclusion drawing. The results show that the marketing mix strategy (7Ps) has been consistently implemented by the company and contributes to the level of customer satisfaction. Customers consider product quality, ease of service access (place), and fast and responsive service processes to be the aspects that most influence their satisfaction. Meanwhile, the promotion strategy and physical evidence elements are considered to still have room for improvement to strengthen the overall customer experience. This study provides an in-depth overview of how the implementation of the 7Ps can increase customer satisfaction and serve as a reference for improvement for companies in designing more effective marketing strategies.
The Purple Squirrel Paradox: Leveraging Technology and Inclusive Strategies for Attracting and Retaining Exceptional Talent in Tech Startups Parul Choudhary; Dr Anand Shankar Raja M; Dr Manish Kothari
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.v6i1.6268

Abstract

The systemic problem within the tech industry startup surrounds the disparity of talent expectation with reasonable and sustainable employment practices, which is visible through the lens of the Purple Squirrel Paradox - the relentless ideal of the all-in-one, dwarfed. This paper addresses the social impact of paradox-technology and inclusive management in resolving the contradiction of social impact tech paradox. Use of AI-enabled recruitment tools, skills-first assessment of candidates, and proactive outreach campaigns has been shown to reduce bias and improve access to and appreciation of talent that has been previously ignored and underutilized. We also examine retention strategies anchored in psychological safety, equity-centered leadership development, inclusive onboarding, and their long-term social value. This work in empirical research provides evidence-based, action-oriented tools to startup founders and HR leaders to posture their organizations toward pro-societal and pro-innovation social value through diverse high-performance teams. The work demonstrates recruitment and retention with the purpose of social impact as inclusive systemic paradox and effect of impact within the startup ecosystem.
The Impact of Artificial Intelligence and Big Data Integration on Decision-Making and Supply Chain Efficiency in Modern Logistics Jeni Karay; Reni Koibur
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.v6i1.6344

Abstract

This study examines the impact of the integration of Artificial Intelligence (AI) and Big Data on decision-making and operational efficiency in the logistics sector. AI accelerates data processing, while Big Data enables large-scale analysis to make more informed decisions. Both technologies can improve planning, distribution, and equipment monitoring, as well as enhance supply chain operability by reducing human error. The study included case studies of 50 logistics companies that have adopted AI and Big Data. Using this quantitative method, the research team developed survey questions based on the four parameters listed above and answered them by interviewing representatives from each company's management department. The results show that 70% of companies have implemented AI across various operational aspects. Sixty percent of companies are fully utilizing Big Data. AI improves demand forecast accuracy by 30% and reduces inventory waste by 25%. AI implementation saves 15-20% on delivery time in route management, while reducing operational costs. However, there are several drawbacks: it is expensive to build systems using all these technologies, there is a shortage of skilled labor, and companies struggle to integrate new systems with existing legacy systems. This study also shows that organizational readiness plays a critical role in leveraging the technical potential of these two technologies to improve supply chain operational efficiency.
Comparative Analysis of SAW and WP Methods for Employee Selection in MSMEs Ni Made Yeni Dwi Rahayu; Ni Putu Dewi Eka Yanti
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.v6i1.6511

Abstract

The process of selecting new employees in Micro, Small, and Medium Enterprises (MSMEs) is often still carried out subjectively, which can lead to less optimal decision-making. This study aims to apply and compare the Simple Additive Weighting (SAW) and Weighted Product (WP) methods as decision support systems for new employee selection in MSMEs. The evaluation is conducted based on four criteria: education level, work experience, skill competency, and interview results. The dataset consists of ten job candidates that are processed through weight normalization, preference value calculation, and ranking stages. The results show that both methods are capable of providing objective and measurable recommendations for selecting the best employees, although differences appear in the final ranking of candidates because the SAW method calculates scores by summing weighted normalized values for each criterion, while the WP method multiplies each criterion value raised to its weight, making the influence of high or low scores more pronounced. The SAW method is simpler and easier to understand, while the WP method is more sensitive to criterion weights and better distinguishes candidates with varied performance levels. The best alternative tends to consistently rank at the top in both methods. Therefore, the implementation of the SAW and WP methods can assist MSMEs in making systematic and accurate employee selection decisions based on a dataset of ten candidates evaluated across four assessment criteria.
The Influence of Digital Marketing Capability on the Marketing Performance of MSMEs in the Digital Transformation Era: The Moderating Role of Customer Satisfaction Sri Mulyono; Ika Ramadani
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.v6i1.6520

Abstract

Digital transformation has reshaped marketing practices, requiring MSMEs to strengthen their digital marketing capability to remain competitive. Variations in marketing performance among digitally active MSMEs suggest the presence of additional influencing factors beyond technological competence. This study aims to examine the influence of digital marketing capability on the marketing performance of MSMEs and to analyze the moderating role of customer satisfaction in this relationship. A quantitative explanatory survey was conducted involving 120 MSME actors implementing digital marketing strategies. Data were collected using a Likert-scale questionnaire and analyzed through multiple linear regression and Moderated Regression Analysis (MRA) to test direct and interaction effects. Findings reveal that digital marketing capability significantly enhances marketing performance. Customer satisfaction also has a direct positive effect and significantly strengthens the relationship between digital marketing capability and marketing performance. The interaction effect indicates that higher customer satisfaction amplifies the positive impact of digital capability on business outcomes. The study concludes that optimal MSME marketing performance in the digital era depends on the integration of digital capability and customer satisfaction management. The novelty lies in positioning customer satisfaction as a moderating variable rather than solely as an outcome, providing both conceptual and methodological contributions to digital marketing research in the MSME context.
Identification of Factors of Small Enterprise Coffee Development: A Case Study in UUT Agro Semesta, Bali I Gusti Ayu Widari Upadani; Ni Luh Putri Srinadi; Gusti Ngurah Aditya Krisnawan
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.v6i1.6528

Abstract

This research aims to identify the critical internal and external factors influencing the development of coffee MSMEs and to formulate strategic recommendations for UUT Agro Semesta in Pajahan Village, Tabanan, Bali. Addressing the slow growth and conventional management practices in the region's coffee sector, this study contributes to the field of management science by providing a strategic framework for small enterprise sustainability. The study employed a quantitative case study design, collecting primary data through structured questionnaires, interviews, and observations from 30 respondents selected via purposive sampling. Data analysis was conducted using SPSS Version 25 for descriptive statistics and the SWOT framework, involving Internal Factor Analysis Summary (IFAS) and External Factor Analysis Summary (EFAS) matrices. The results reveal that the enterprise possesses strong internal foundations (IFAS score: 2.93), primarily driven by specialized farmer skills and high family involvement (90%). However, external analysis (EFAS score: 3.10) highlights significant opportunities in government subsidies and cooperative networks, contrasted by threats from market access barriers (90% reported obstacles) and climate dependency. The findings suggest that the business is in a growth-oriented position, recommending an S-O (Strengths-Opportunities) strategy that prioritizes the utilization of government-led technical training to enhance production and leveraging cooperatives for market expansion. Practically, this study recommends that policymakers facilitate micro-financing and climate-adaptive irrigation technologies to mitigate technical weaknesses. These results offer a roadmap for coffee MSMEs to improve competitive advantage through integrated management and strategic institutional collaboration.
The Board's Commitment as a Factor Strengthening the Influence of Board Characteristics on Company Financial Performance Dwi Mas Sukma Agung; Kristian Chandra; Farah Margaretha; Febria Nalurita; Yosephina E Purba
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.v6i1.6529

Abstract

This study examines the effect of board characteristics on financial performance of manufacturing firms listed on the Indonesia Stock Exchange during 2019–2023. Specifically, it investigates the influence of board size, board independence, board expertise, and female board representation on firm performance, while incorporating board commitment as a moderating variable and firm size, firm age, and leverage as control variables. Financial performance is measured using Return on Assets (ROA) and Return on Equity (ROE). The study employs a quantitative research design using secondary data derived from annual reports of 55 manufacturing companies selected through purposive sampling. Panel data regression analysis is conducted using EViews 9. The findings reveal that firm size and firm age positively affect ROA, whereas leverage negatively affects ROA. For ROE, board size, board commitment, and leverage show positive effects, while female board representation, firm size, and firm age demonstrate negative effects. Furthermore, board commitment negatively moderates the relationship between board size and ROE. The results suggest that larger boards may enhance performance through diverse expertise and experience; however, higher female board representation is associated with lower performance within the observed context. This study contributes to corporate governance literature by highlighting the contingent role of board commitment and provides practical implications for corporate governance design and investment decision-making.

Page 57 of 61 | Total Record : 608

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