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Quantitative Economics and Management Studies
Published by PT. Mattawang Mediatama Solution
ISSN : -     EISSN : 27226247     DOI : https://doi.org/10.35877/qems
Core Subject : Economy, Science, Education,
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Mathematics
Journal of Quantitative Economics and Management Studies (QEMS) is an international peer-reviewed open-access journal dedicated to interchange for the results of high-quality research in all aspects of economics, management, business, finance, marketing, accounting. The journal publishes state-of-art papers in fundamental theory, experiments, and simulation, as well as applications, with a systematic proposed method, sufficient review on previous works, expanded discussion, and concise conclusion. As our commitment to the advancement of science and technology, the QEMS follows the open access policy that allows the published articles freely available online without any subscription.
Arjuna Subject : Ilmu Ekonomi, Ekonometrika dan Keuangan (semua kategori) - Ilmu Ekomomi dan Ekonometrika
Articles 15 Documents
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Search results for , issue "Vol. 6 No. 2 (2025)" : 15 Documents clear
Implementation K-Medoids Algorithm for Clustering Indonesian Provinces by Poverty and Economic Indicators Hafid, Hardianti; Meliyana, Sitti Masyitah; Muthahharah, Isma; Mar’ah, Zakiyah
Quantitative Economics and Management Studies Vol. 6 No. 2 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.qems3940

Abstract

Regional development disparities in Indonesia remain one of the main challenges in formulating national development policies. This study aims to classify the 38 provinces in Indonesia based on four key indicators: the percentage of the population living in poverty, Gross Regional Domestic Product (GRDP) per capita, the open unemployment rate, and the Human Development Index (HDI), using the K-Medoids algorithm. This method was chosen due to its robustness to outliers and its ability to produce representative clusters. The data used are secondary data obtained from the Central Bureau of Statistics (BPS). The analysis process began with data standardization, determination of the optimal number of clusters using the Elbow and Silhouette methods, followed by clustering implementation and result interpretation. The analysis results identified four main clusters with distinct socioeconomic characteristics. Cluster 1 reflects provinces with moderate conditions, Cluster 2 represents more developed provinces, Cluster 3 highlights regions facing significant development challenges, and Cluster 4 consists of provinces with the most underdeveloped socioeconomic conditions. These findings indicate that the K-Medoids algorithm is effective in identifying inter-provincial disparity patterns and can serve as a foundation for formulating more targeted and inclusive development policies.
The Influence of Financial Capital and Financial Management on the Performance of MSMEs at the Mentaya Shooping Center in Sampit Glorianismus, Filoshopia Yasni; Sambung, Roby; Ani Mahrita; Pratiwi Hamzah
Quantitative Economics and Management Studies Vol. 6 No. 2 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.qems3946

Abstract

This study aims to analyze the influence of financial capital and financial management on the performance of Micro, Small, and Medium Enterprises (MSMEs) at the Mentaya Shopping Center in Sampit, Central Kalimantan. Using a quantitative approach with a survey method, data were collected from 82 MSME respondents and analyzed through Structural Equation Modeling using SmartPLS 4.0. The research reveals that both financial capital and financial management have a positive and significant effect on MSME performance, both individually and simultaneously. The coefficient of determination (R²) value of 0.612 indicates that 61.2% of the variation in MSME performance is explained by the two independent variables. The findings show that most MSMEs rely on internal capital and face challenges accessing external financing. At the same time, financial management practices—especially in recording, reporting, and controlling—are still not fully optimized. The research supports the Resource-Based View (RBV) and Financial Capability Theory, which emphasize that a combination of financial resources and managerial competence is critical to enhancing business performance. Strategic implications highlight the importance of integrated interventions from stakeholders to improve access to capital and financial literacy among MSME actors. Programs combining digital finance access with structured financial training can significantly enhance MSME competitiveness, especially in traditional market settings. The study contributes both theoretically and practically to the development of inclusive economic models for MSME sustainability in regional markets.
Supporting Factors of Digital Marketing and Customer Relationship Management and Their Role in Developing the Champion UMKM Model in West Java: Literature Review Wulandari, Rosanna; Nugroho, Arissetyanto; Derriawan, Derriawan
Quantitative Economics and Management Studies Vol. 6 No. 2 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.qems3951

Abstract

This study aims to identify the supporting factors in implementing Digital Marketing(DM) and Customer Relationship Management(CRM) and to examine their role in developing the Champion MSME model in West Java. Amidst tight digital competition, many MSMEs have not fully leveraged the use of digital technology, particularly in building strong customer relationships and expanding their market share. The method employed is a Systematic Literature Review(SLR) using the PRISMA 2020 guidelines, which involves articles published between 2015 and 2025 and indexed in Scopus, Web of Science, Copernicus, Sinta, and Garuda. The results of the study show that the success of digital marketing (DM) and CRM depends on the level of digital literacy, technological infrastructure support, personal interaction, and efficient customer data management. Both strategies play a role in increasing Customer Satisfaction(CS), Customer Engagement(CE), and Customer Loyalty(CL), which then contribute positively to MSME performance. In addition, the Soft System Methodology (SSM) approach is used to design a contextual Champion MSME development model that involves the participation of stakeholders. These findings are expected to be the basis for an effective strategy for developing sustainable MSME digitalization.
Backpropagation Neural Network Method For The Classification of Districts/Cities Based On Macro Socio-Economic Indicators In The Province Of South Sulawesi Rais, Zulkifli; Sudarmin; Syahputra, Akbar
Quantitative Economics and Management Studies Vol. 6 No. 2 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.qems3982

Abstract

Classification is a way of grouping objects based on the characteristics possessed by the objects of classified. One of the developing classification methods is the backpropagation neural network. This study aims to look at the descriptive and classification results of the District/City Macro Socioeconomic Indicators in South Sulawesi Province. The data set comprises 24 observations with 9 variables, namely population density, poverty line, Gini ratio, open unemployment rate, life expectancy, average length of schooling, labor force participation rate, life growth rate, and GRDP at current prices. A model with a total of 9 hidden layers and a learning rate of 0.002 is obtained with an accuracy of 70%, precision of 70%, recall of 100%, and F1 score of 87%.
Motivation as a Bridge between Creativity, Environment, and Capital in Shaping Entrepreneurial Interest among Students Bado, Basri; Isma, Andika; Dewantara, Hajar; Raharimalala, Soussou; Adio, Matthew Olufemi
Quantitative Economics and Management Studies Vol. 6 No. 2 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.qems3992

Abstract

This study aims to examine the influence of creativity, environment, and capital on entrepreneurial interest, with motivation acting as a mediating variable among students of the Faculty of Economics and Business at a university. The sampling technique used was proportional random sampling, and data were collected through questionnaires distributed directly to respondents. The population consisted of active students in the faculty, with a total sample of 109 respondents. Data analysis was conducted using simple linear regression with the assistance of SPSS version 26. The results show that motivation has a significant direct effect on entrepreneurial interest and serves as the primary mediating factor in this study. Creativity was found to have a positive and significant influence on motivation and indirectly contributed substantially to entrepreneurial interest through motivation. The environment emerged as the strongest factor affecting both motivation and entrepreneurial interest. In contrast, capital had the weakest influence on entrepreneurial interest compared to the other variables. Overall, the research model explains 99.7% of the variability in students’ entrepreneurial interest, emphasizing motivation as the key mediating variable linking creativity, environment, and capital to entrepreneurial aspirations.

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