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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 754 Documents
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The Influence of Tiktok Social Media Marketing on Repurchase Interest with Brand Image as A Mediation for N’Pure Products in Cimahi City Asti Anindia Sundari; Wala Erpurini
International Journal of Management Science and Information Technology Vol. 6 No. 2 (2026): July - December 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i2.8241

Abstract

The rise of TikTok as a digital marketing platform provides opportunities for local skincare brands to engage Generation Z consumers. However, high social media engagement does not necessarily lead to repurchase intention. This study examines the effects of TikTok social media marketing on brand image and repurchase intention, the effect of brand image on repurchase intention, and the mediating role of brand image in the relationship between TikTok social media marketing and repurchase intention for N’PURE products in Cimahi City.This study employed a quantitative approach with a descriptive-verificative design. Data were collected through questionnaires from Generation Z consumers of N’PURE products in Cimahi City. The data were analyzed using simple regression to examine the effect of one independent variable on one dependent variable, multiple regression to assess the effects of multiple variables, and the Sobel test to determine whether brand image significantly mediates the relationship between TikTok social media marketing and repurchase intention. The findings indicate that TikTok social media marketing has a positive and significant effect on brand image and repurchase intention. Brand image also has a positive and significant effect on repurchase intention. Furthermore, brand image partially mediates the relationship between TikTok social media marketing and repurchase intention. These findings suggest that N’PURE can strengthen TikTok marketing strategies to build a positive brand image and encourage repeat purchases among Generation Z consumers.
The Role of Online Reputation-Based Trust (Google Review) In the Purchase Decision for Air Conditioner Products at Toko AC Bali Makmur Saelus Galih Permana Ciputra; Akmil Asril
International Journal of Management Science and Information Technology Vol. 6 No. 2 (2026): July - December 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i2.8257

Abstract

This study aims to analyze the role of online reputation based on Google Review in building digital trust (digital trust) and its influence on consumer purchase decisions at Toko AC Bali Makmur Saelus. The study uses a qualitative approach with a case study method. Data were collected through in-depth interviews with consumers who had made a purchase after reading Google Reviews, digital observation (netnography) on the Google Business Profile, and documentation. Data analysis was carried out using the interactive model of Miles, Huberman, and Saldaña, which includes data condensation, data display, and conclusion drawing. The results show that Google Review acts as the main source of information shaping consumers' initial perceptions of business credibility. The elements most influential in building online reputation include review volume and valence, review recency (review recency), testimonial depth (testimonial depth), and business owners' responses to customer reviews. This online reputation builds digital trust through the dimensions of competence (ability), integrity (integrity), and benevolence (benevolence) thereby reducing consumers' perceived risk before making a purchase. The findings also show that Google Review functions as an ultimate filter (ultimate filter) in the alternative evaluation process, encouraging consumers to finalize their purchase decision. This study contributes to the development of studies on electronic word of mouth (e-WOM), online reputation, and digital trust for high-involvement products, and provides practical implications for MSME actors in managing their Google Business Profile as a strategy for building trust and improving purchase decisions.
Human Resource Management Strategy in Improving Employee Performance at PT Kino Indonesia Tbk Riezky Army Riesha
International Journal of Management Science and Information Technology Vol. 6 No. 2 (2026): July - December 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i2.8262

Abstract

Employee performance remains a central determinant of organizational competitiveness within the fast-moving consumer goods (FMCG) industry, particularly for companies such as PT Kino Indonesia Tbk operating amid intensifying market competition and accelerating human resource digitalization. This article aims to describe and analyze, through the lens of the Ability-Motivation-Opportunity (AMO) framework, the human resource management strategies disclosed by PT Kino Indonesia Tbk and to examine how these strategies collectively relate to employee performance improvement. This study employs a qualitative descriptive research design through library research, drawing secondary data from the company's 2022 and 2023 Annual Reports and 2024 Sustainability Report, analyzed using a structured thematic analysis procedure. The findings indicate that PT Kino Indonesia Tbk implements three interrelated strategies corresponding respectively to the ability, opportunity, and motivation dimensions: tiered competency-based development, evidenced by an increase in training hours per employee from 4.57 in 2022 to 9.18 in 2023; a digital learning platform enabling self-directed employee development; and welfare-oriented sustainability practices under the Thriving People pillar, reflected in full health-insurance coverage and complete maternity-leave reinstatement, alongside an 11 percent turnover rate in 2024. These findings demonstrate that the three strategies function as a mutually reinforcing system rather than isolated initiatives, contributing theoretically to sustainable human resource management literature by illustrating the applicability of the AMO framework to publicly disclosed corporate HR strategy, while offering practical implications for other Indonesian FMCG firms pursuing integrated HR strategy design.
The Role of Customer Satisfaction in Mediating the Effects of Product Quality and Perceived Price Fairness on Switching Intention: A Study of iPhone Users in Denpasar Ni Wayan Lia Kusumaningrum; Gede Bayu Rahanatha
International Journal of Management Science and Information Technology Vol. 6 No. 2 (2026): July - December 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i2.8266

Abstract

The premium smartphone market has become increasingly competitive, encouraging consumers to evaluate alternative brands based on the value they receive from product performance and pricing. Although the iPhone is widely recognised for its premium positioning, users may still develop intentions to switch when they perceive that the product quality or price no longer provides satisfactory value. This study examines the direct effects of product quality and perceived price fairness on switching intention, while also investigating the mediating role of customer satisfaction among iPhone users in Denpasar. A quantitative approach was adopted by collecting data from 144 respondents selected through purposive sampling. The proposed research model was analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM). The empirical findings indicate that both product quality and perceived price fairness significantly decrease switching intention while simultaneously exerting positive effects on customer satisfaction. In addition, customer satisfaction partially mediates the relationships between product quality and switching intention and between perceived price fairness and switching intention. These findings suggest that consumers are less likely to consider alternative smartphone brands when they perceive superior product quality and fair pricing, as these perceptions strengthen overall satisfaction. From a managerial perspective, the results highlight the importance of continuously enhancing product quality and implementing pricing strategies that consumers perceive as equitable in order to reinforce customer satisfaction and minimise switching intention.
Development of Intelligent Decision Support System Based on Quadrant Analysis, Time Series Trend Analysis, and Automatic Planogram Generation for Vending Machine Product Optimization Rizaldi Putra; Syaban Maulana; Tessalonika Audry Polnaya; Muhammad Zaky Fahriansyah
International Journal of Management Science and Information Technology Vol. 6 No. 2 (2026): July - December 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i2.8277

Abstract

Product management in a vending machine business requires fast and data-driven decision-making to increase sales effectiveness and profitability. However, decision-making related to price adjustments, product bundling, product replacements, and product arrangement on vending racks is still mostly done manually based on the manager's experience, so it has the potential to produce less than optimal decisions. This research aims to develop an Intelligent Decision Support System that is able to produce business strategy recommendations through the integration of Quadrant Analysis, Time Series Trend Analysis, and Automatic Planogram Generation. The research data was obtained from the results of exporting the vending machine transaction database imported into the application in CSV or Excel format, so that the system does not depend on direct integration with the Application Programming Interface (API). Quadrant Analysis is used to group products based on sales performance and profit contribution, while Time Series Trend Analysis is used to evaluate historical sales trends as a support for decision validation, rather than as a sales prediction method. The results of the second analysis were processed using a rule-based decision engine mechanism to produce recommendations in the form of price adjustments, product bundling, maintaining or replacing products, and compiling an automatic planogram based on product performance priorities. The resulting planogram can still be adjusted manually by the user so that it still provides flexibility in operational decision-making. In addition, the system presents profit analysis based on product, machine, and location as the basis for business evaluation. The resulting artifacts are in the form of a decision support system application that not only presents data visualization, but also automatically generates strategic recommendations to help managers improve the effectiveness of product management in the vending machine business.
How Modified BCG Matrix-Based Product Portfolio Optimization Changes Consumer Purchase Behavior: Evidence from Vending Machine Transactions Chowal Jundy Kumoro; Lambok Rommy Sulaeman; Gredinov Sumanta Malsad; Mochamad Arya Maulana
International Journal of Management Science and Information Technology Vol. 6 No. 2 (2026): July - December 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i2.8278

Abstract

Product portfolio optimization is essential in automated retail because vending machines operate under severe storage constraints, requiring every Stock Keeping Unit (SKU) to contribute effectively to overall sales performance. However, conventional portfolio management approaches, including the Boston Consulting Group (BCG) Matrix, rely on market-level indicators that are difficult to apply in vending machine environments where external market share data are unavailable. This study proposes a Modified BCG Matrix by replacing Relative Market Share with Relative Sales Performance (RSP) and Market Growth Rate with Sales Growth Trend (SGT) to enable SKU-level portfolio optimization using internal transaction data. A quantitative longitudinal design with an Interrupted Time Series (ITS) approach was employed using 167,018 valid transactions collected from 11 smart vending machines operating in Cikarang, Indonesia, between September 2025 and June 2026. The Modified BCG Matrix guided operational decisions, including facing allocation, replenishment priority, product rotation, replacement, and product delisting. The implementation reduced the active product portfolio from 253 to 146 SKUs (42.3%), increased average daily transaction volume by 28.53%, increased average daily sales revenue by 22.19%, and produced statistically significant immediate intervention effects based on segmented regression analysis. These findings demonstrate that data-driven product portfolio optimization not only improves operational efficiency and sales performance but also reshapes consumer purchase behavior. This study extends the application of the traditional BCG Matrix from the Strategic Business Unit (SBU) level to the SKU level and provides an evidence-based decision-support framework for automated retail portfolio management.
Financial Literacy, Investment Motivation, Information Technology, And Minimum Capital Affecting Generation Z Investment Interest in Purworejo Regency Reyna Putri Gustyarni; Intan Puspitasari; Ishak Ishak
International Journal of Management Science and Information Technology Vol. 6 No. 2 (2026): July - December 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i2.8279

Abstract

The purpose of this study is to ascertain how financial literacy, investment motivation, information technology, and minimum capital affect Generation Z's inclination to invest in Purworejo Regency. Understanding the elements that influence Generation Z's intention to invest has become more important as their involvement in investment activities has grown. Information technology, minimum capital, financial literacy, and investing motivation are all thought to be significant factors that could affect investors' investment choices. This study used a structured questionnaire delivered using Google Forms as part of a quantitative research methodology. Purposive sampling was used to get data from 102 valid responses. Multiple linear regression was used to examine the collected data with the aid of SPSS software. The findings show that Generation Z's intention to invest is positively and significantly impacted by financial literacy, investment motivation, and minimal capital. In the meantime, investment intention is not significantly impacted by information technology. These results suggest that promoting investment intention among Generation Z requires enhancing financial awareness, boosting investment motivation, and expanding access to reasonably priced first investment money. Additionally, policymakers, financial institutions, and educational institutions can use the study's practical implications to develop initiatives that encourage youth investment engagement.
Maintenance Management Analysis to Improve the Effectiveness of Single Needle Sewing Machines at PT Alendros Global Production Tita Puspita; Rini Mulyani Sari
International Journal of Management Science and Information Technology Vol. 6 No. 2 (2026): July - December 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i2.8280

Abstract

The operational efficiency of production machinery is essential for improving productivity and competitiveness in garment manufacturing. PT Alendros Global Production faces operational challenges in Single Needle sewing machines, including high downtime, declining production targets, and increasing defect rates. This study evaluates maintenance management, measures machine efficiency using Overall Equipment Effectiveness (OEE)—an indicator combining equipment availability, operating performance, and product quality—identifies major production losses using the Six Big Losses framework, and develops improvement strategies based on Total Productive Maintenance (TPM) principles. A qualitative case study supported by quantitative operational data was conducted using observations, structured interviews, company documents, and operational records from July to December 2025. The findings indicate that maintenance activities remain predominantly reactive, characterized by delayed preventive maintenance, fragmented records, and ineffective spare parts inventory control. These weaknesses resulted in average downtime of 22.80% and an OEE score of 57.63%, below the 85% World Class benchmark. The Six Big Losses analysis identified sudden mechanical breakdowns and spare parts delays as the main sources of equipment losses. Recommended improvements include strengthening preventive maintenance, implementing autonomous maintenance training for operators, establishing safety stock levels, digitizing maintenance records, and improving production–maintenance communication. These measures provide a practical framework for reducing downtime, stabilizing machine performance, minimizing defects, and improving production efficiency.
How Social Media Marketing and Online Reviews Influence the Likelihood of Customers Buying Again: The Role of Brand Trust Among Tokopedia Users in Bandung City Zulfikar Nurharis; Wala Erpurini
International Journal of Management Science and Information Technology Vol. 6 No. 2 (2026): July - December 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i2.8292

Abstract

The rapid growth of the e-commerce sector in Indonesia has intensified competition among online shopping platforms, making customer loyalty and repurchase intention increasingly important for businesses. The decline in Tokopedia’s Top Brand Index indicates challenges in maintaining consumer loyalty and encouraging repeat purchases. This study aims to examine the effect of Social Media Marketing (SMM) and Electronic Word of Mouth (E-WOM) on Repurchase Intention through Brand Trust as a mediating variable among Tokopedia users in Bandung City. This study adopts the Stimulus–Organism–Response (SOR) framework, in which SMM and E-WOM represent external stimuli, Brand Trust represents the consumer’s internal psychological state, and Repurchase Intention represents the behavioral response. A quantitative approach was employed through a survey of 165 Tokopedia users in Bandung City selected using purposive sampling. The data were analyzed using multiple linear regression and the Sobel test with IBM SPSS version 26. The results indicate that both Social Media Marketing and Electronic Word of Mouth have a positive and significant effect on Brand Trust. Furthermore, Brand Trust has a positive and significant effect on Repurchase Intention. The mediation results also demonstrate that Brand Trust mediates the relationship between Social Media Marketing and Electronic Word of Mouth and Repurchase Intention. These findings indicate that effective digital marketing activities and consumer-generated information can strengthen brand trust, which subsequently encourages consumers to repurchase. This study contributes to the application of the SOR framework in the Indonesian e-commerce context and provides practical implications for Tokopedia in developing effective digital marketing strategies and strengthening consumer trust to encourage repeat purchases.
The Influence of Service Quality, Satisfaction, and Trust on Banking Customer Switching Behavior Hanuna Shafariah; Yanti Mayasari Ginting; Muhammad Nugraha
International Journal of Management Science and Information Technology Vol. 6 No. 2 (2026): July - December 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i2.8300

Abstract

The competition within the banking industry is intensifying, particularly due to advancements in digital services that prompt customers to consider alternative banks for their transactions. This study investigates the influence of service quality, satisfaction, and trust on customer switching behavior. A purposive sampling method was employed to select respondents aged at least 17 years, who have been customers for a minimum of six months, and have experience using either branch services or digital channels, as well as having contemplated or executed a transaction transfer. Data were collected through a five-point Likert scale questionnaire and analyzed using multiple linear regression after undergoing a series of validity, reliability, normality, multicollinearity, and heteroscedasticity tests. The analysis yielded an F value of 39.430 with a significance level below 0.001. Individually, service quality had a significant negative impact on switching behavior, with a coefficient of −0.178 and a significance of 0.011. Satisfaction showed a coefficient of −0.307 with a significance level below 0.001, while trust had a coefficient of −0.226 with a significance of 0.002. Standardized beta values confirmed that satisfaction is the strongest predictor, followed by trust and service quality. These findings emphasize that reducing customer switching requires banks to provide accurate, responsive, and secure services that meet customer expectations. Furthermore, transparency in information and the bank's accountability in resolving issues are essential factors. Monitoring transaction frequency, balance transfers, the use of alternative banks, and customer complaints is a strategic approach to detect potential switching before the service relationship begins to weaken.

Page 72 of 76 | Total Record : 754

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