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ECOBIZTECH: Journal of Economics, Business, and Technology
Published by CV. Syahira Creative Media
ISSN : -     EISSN : 31244742     DOI : https://www.doi.org/10.65881/ecobiztech
Core Subject :
ECOBIZTECH: Journal of Economics, Business, and Technology, with registration number ISSN 3124-4742 (online), is a scientific journal of economics, business, and technology published by SCM Publishing. This journal discusses issues related to economics and business with a technology base. The purpose of publishing this journal is to disseminate conceptual thoughts or ideas and research results achieved in the field of economics, business, and technology in the form of scientific papers.
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Articles 34 Documents
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Determinants of understanding of old age security claim calculations in the employment social security system Dita Nurfatila; Decky Hendarsyah; Dariana Dariana
ECOBIZTECH: Journal of Economics, Business, and Technology Vol. 1 No. 1 (2026): ECOBIZTECH: Journal of Economics, Business, and Technology - March
Publisher : SCM PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65881/ecobiztech.v1i1.27

Abstract

Purpose: to analyze the influence of the quality of the Jamsostek Mobile (JMO) application, socialization, education level, and participant motivation on the level of understanding of old age security (OAS) claim calculations. Method: this study used a quantitative approach with a survey design, involving 287 OAS participants as respondents. Data were analyzed using multiple regression to test the relationship between independent variables and participant understanding levels. Findings: the quality of the JMO application, education level, and participant motivation had a positive effect on the level of understanding of OAS claim calculations, whereas socialization did not affect the level of understanding of OAS claim calculations. These findings emphasize the importance of a combination of quality facilities, participant motivation, and individual abilities in improving understanding, while providing information alone is not enough. Implications: this study strengthens key theoretical frameworks and provides practical guidance for developing effective applications and educational strategies to enhance participants’ understanding of OAS claims and independence. Originality: lies in its multidimensional approach, which combines internal and external factors, utilizes digital applications as an educational tool, and integrates theories to provide a comprehensive understanding of OAS claim participants.
Advancing macroeconomic forecasting by integrating big data and machine learning Anhari Utomo; Darmawan Munthe; Daniel Handoko
ECOBIZTECH: Journal of Economics, Business, and Technology Vol. 1 No. 1 (2026): ECOBIZTECH: Journal of Economics, Business, and Technology - March
Publisher : SCM PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65881/ecobiztech.v1i1.28

Abstract

Purpose: to assess the role of integrating big data and machine learning (ML) in improving the accuracy of macroeconomic forecasting and to develop an adaptive multi-indicator forecasting framework. Method: a quantitative data-driven forecasting approach is employed by integrating historical macroeconomic data, real-time data, and unstructured data. Forecasts are generated using random forests, support vector regression (SVR), neural networks, and macroeconomic random forests (MRF), and model performance is evaluated using MAE, RMSE, and MAPE via rolling-window cross-validation. Findings: ML-based models consistently outperform traditional econometric approaches. MRF achieves the highest accuracy in forecasting GDP and unemployment, while random forests and SVRs perform better at capturing inflation dynamics and short-term fluctuations. The inclusion of real-time, unstructured data enhances the model’s responsiveness to economic volatility and shocks. Implications: these findings highlight the potential of ML-based macroeconomic forecasting systems as effective decision-support tools for evidence-based policymaking. Originality: lies in the development of a multi-indicator ML-based forecasting framework that integrates heterogeneous big data in a single integrated system.
Human-AI collaboration for strategic decision-making in global organizations Heru Kurniawan; Deni Hidayat
ECOBIZTECH: Journal of Economics, Business, and Technology Vol. 1 No. 1 (2026): ECOBIZTECH: Journal of Economics, Business, and Technology - March
Publisher : SCM PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65881/ecobiztech.v1i1.29

Abstract

Purpose: to explore the role of artificial intelligence (AI) in supporting strategic decision-making within global organizations in order to enhance the quality and sustainability of decisions. Method: this study adopts a qualitative approach through a systematic literature review. Data are collected from relevant journal articles, books, corporate reports, and academic publications. The analysis is conducted thematically to identify the roles of AI, success factors, challenges, and research gaps, and to synthesize findings that can inform the development of a conceptual framework for AI implementation at the global level. Findings: AI enhances decision quality, operational efficiency, and organizational agility; however, final decisions still require human judgment. The successful integration of AI is influenced by data quality, organizational readiness, managerial support, and human competencies. Key challenges include algorithmic bias, ethical concerns, and differences in cultural and regulatory contexts. Implications: integrating AI enables global organizations to enhance the quality of strategic decision-making and improve their responsiveness to market dynamics. A hybrid human–AI approach helps minimize bias risk and strengthen sustainable competitive advantage. Originality: lies in a holistic approach that integrates the role of AI, managerial context, and cross-cultural dynamics in strategic decision-making within global organizations, while also highlighting hybrid human–AI mechanisms and risk management aspects that have been rarely addressed in previous literature.
Store layout dimensions and customer satisfaction: empirical evidence from an Indonesian retail minimarket Rema Rema; Apriya Santi; Rina Rina
ECOBIZTECH: Journal of Economics, Business, and Technology Vol. 1 No. 1 (2026): ECOBIZTECH: Journal of Economics, Business, and Technology - March
Publisher : SCM PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65881/ecobiztech.v1i1.30

Abstract

Purpose: to analyze the effects of product arrangement, customer movement pathways, and lighting and store atmosphere on customer satisfaction in a local Indonesian minimarket. Method: using a quantitative approach to examine the effect of store layout dimensions on customer satisfaction. Data were collected via a 5-point Likert questionnaire from 75 randomly selected customers at Alfamart Cempaka Raya, Banjarmasin, and analyzed using multiple linear regression in SPSS. Findings: All three store layout dimensions, product arrangement, customer flow, and lighting/atmosphere have a positive and significant impact on customer satisfaction, with lighting and atmosphere being the most influential. These findings highlight the critical role of store environment in enhancing customers’ overall shopping experience. Implications: the findings suggest that retail managers should strategically manage store layout, including product arrangement, customer flow, and lighting/atmosphere, to enhance customer satisfaction. Prioritizing a well-designed and comfortable shopping environment can strengthen customer loyalty and improve overall shopping experience. Originality: lies in its multidimensional approach to store layout, simultaneously examining product arrangement, customer movement flow, and lighting/ambience, within the context of local Indonesian minimarkets.
Innovation in public administration amid social and global turbulence: strategic adaptation and key challenges Abdul Hasan
ECOBIZTECH: Journal of Economics, Business, and Technology Vol. 1 No. 1 (2026): ECOBIZTECH: Journal of Economics, Business, and Technology - March
Publisher : SCM PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65881/ecobiztech.v1i1.34

Abstract

Purpose: to analyze the role of institutional innovation in public administration as a strategic response to social and global turbulence, and to identify key strategies and their implementation challenges in building flexibility, accountability, and public value. Method: this study uses a systematic literature review to analyze academic studies on public administration innovation, adaptive strategies, and cross-sector collaboration. The analysis focuses on identifying innovation patterns, strategies, and challenges amid social and global turbulence. Findings: this study shows that public administration innovation is carried out through adaptive, collaborative strategies and the strengthening of institutional capacity, with the main challenges being structural barriers, bureaucratic culture, and political dynamics, while an orientation towards public values is the key to the success and sustainability of innovation. Implications: this study emphasizes the importance of strategic, adaptive, and public-value-oriented innovation to improve the effectiveness and sustainability of public administration amid social and global turbulence. Originality: this study integrates perspectives on strategy, adaptation, and collaboration in public administration innovation, particularly in the context of social and global turbulence, a topic rarely studied comprehensively.
Design and evaluation of educational animation to enhance professional ethics and employee performance in the workplace Levi Cornelia; Cosmas Eko Suharyanto
ECOBIZTECH: Journal of Economics, Business, and Technology Vol. 1 No. 2 (2026): ECOBIZTECH: Journal of Economics, Business, and Technology - September
Publisher : SCM PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65881/ecobiztech.v1i2.60

Abstract

Purpose: to develop and evaluate an educational motion graphic animation as a learning medium for professional ethics in the workplace, as well as to analyze its potential in improving audience understanding of professional ethics and supporting work readiness and employee performance. Method: this study employs a qualitative approach using the Multimedia Development Life Cycle (MDLC), which consists of six stages: concept, design, material collection, assembly, testing, and distribution. Data were collected through observation to identify learning needs. The media was designed and produced using simple digital tools, including IbisPaint for illustration, Microsoft PowerPoint for animation, and Clipchamp for audio-visual integration. Findings: the developed motion graphic animation effectively presents professional ethics through simple workplace scenarios, making the material easier to understand and more engaging. Observations indicate improved audience comprehension and engagement, suggesting its potential as an effective learning medium to support work readiness and employee performance. Implications: motion graphic animation is an effective and accessible medium for improving understanding of professional ethics and supporting work readiness and employee performance. Originality: integrating motion graphic animation design with an evaluation of its impact on professional ethics understanding and its potential contribution to work readiness and employee performance.
MSME competitiveness and development strategies in Gorontalo, Indonesia: an integrated SWOT–IE matrix study Abdul Latif; Adelin Thayeb; Hasana Rahim; Viona Makalalag
ECOBIZTECH: Journal of Economics, Business, and Technology Vol. 1 No. 2 (2026): ECOBIZTECH: Journal of Economics, Business, and Technology - September
Publisher : SCM PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65881/ecobiztech.v1i2.65

Abstract

Purpose: to analyze the competitiveness of MSMEs in Gorontalo province based on internal and external factors using SWOT and IE Matrix analysis, as well as to formulate appropriate development strategies to improve business sustainability and regional economic growth. Method: this study employed a quantitative descriptive approach conducted in several districts and cities in Gorontalo province. Data were collected from 120 MSME owners through questionnaires, interviews, and documentation. The data were analyzed using SWOT analysis and the Internal–External (IE) Matrix to identify internal and external strategic factors and determine appropriate MSME development strategies. Findings: MSMEs in Gorontalo province have strong internal potential but still face challenges in capital access, digital adoption, and managerial capability. The IE Matrix placed MSMEs in the “grow and build” position, indicating the need for growth-oriented strategies to enhance competitiveness and sustainability. Implications: strengthening digitalization, managerial capacity, and market expansion is essential to improve the competitiveness and sustainability of MSMEs in Gorontalo province. Originality: lies in integrating SWOT and IE Matrix analyses to comprehensively examine the competitiveness and strategic position of MSMEs in Gorontalo province.
Capital structure, profitability, and firm value: an empirical study of PT. Indocement Tunggal Prakarsa Tbk. Falentina Titin; Sri Mardiana
ECOBIZTECH: Journal of Economics, Business, and Technology Vol. 1 No. 2 (2026): ECOBIZTECH: Journal of Economics, Business, and Technology - September
Publisher : SCM PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65881/ecobiztech.v1i2.70

Abstract

Purpose: to examine the effect of capital structure, measured by debt to equity ratio (DER), and profitability, measured by return on equity (ROE), on firm value, measured by price to book value (PBV). Method: this study uses a quantitative, associative research design. The data used are secondary data obtained from the annual financial statements of PT. Indocement Tunggal Prakarsa Tbk. for the period 2015–2024. The data are analyzed using multiple linear regressions in EViews. Findings: capital structure has a negative and significant effect on firm value, while profitability has no significant effect on firm value. However, capital structure and profitability simultaneously have a significant effect on the firm's value. Implications: capital structure plays a more dominant role than profitability in determining firm value. Therefore, PT. Indocement Tunggal Prakarsa Tbk. should carefully manage its debt levels to avoid excessive financial risk and ensure optimal capital structure in order to enhance firm value. Originality: lies in its specific focus on PT. Indocement Tunggal Prakarsa Tbk. uses recent financial data from 2015–2024, providing updated empirical evidence on the relationship between capital structure, profitability, and firm value in the Indonesian cement industry.
Qurban as an instrument of Islamic social finance for sustainable social development in Indonesia Sugeng Riyadi
ECOBIZTECH: Journal of Economics, Business, and Technology Vol. 1 No. 2 (2026): ECOBIZTECH: Journal of Economics, Business, and Technology - September
Publisher : SCM PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65881/ecobiztech.v1i2.74

Abstract

Purpose: to analyze qurban as an Islamic social finance instrument in socio-economic redistribution, assess its contribution to SDGs, and evaluate the effectiveness of its governance and digital management in Indonesia. Method: this study uses a qualitative descriptive method based on secondary data from reports and literature on Islamic social finance and qurban in Indonesia, analyzed using content analysis. Findings: qurban in Indonesia has developed into a structured Islamic Social Finance instrument supported by digital governance through SIMBA, improving transparency, accountability, and distribution efficiency. Despite a decline in collection value, distribution remains effective and contributes to poverty alleviation, food security, and social equity in line with SDGs. However, challenges persist in data integration, equitable distribution, and public literacy on productive qurban. Implications: strengthening digital governance, institutional capacity, and public literacy is essential to optimize qurban as a sustainable Islamic social finance instrument that supports inclusive development and the achievement of the SDGs. Originality: lies in its integration of qurban within the Islamic social finance and SDGs framework, while critically examining its digital governance transformation through SIMBA as a modern development instrument rather than solely a ritual practice.
Information system implementation and educational level as determinants of employee performance Amanda Prayogi Saputra; Decky Hendarsyah
ECOBIZTECH: Journal of Economics, Business, and Technology Vol. 1 No. 2 (2026): ECOBIZTECH: Journal of Economics, Business, and Technology - September
Publisher : SCM PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65881/ecobiztech.v1i2.75

Abstract

Purpose: to analyze the influence of the civil registration and population administration information system (CRPAIS), payroll accounting information system (PAIS), and education level on employee performance at the population and civil registration service of Bengkalis district. Method: the research used a quantitative approach with primary data obtained through questionnaires from 36 respondents, then analyzed using multiple linear regressions with the help of SPSS version 25, as well as through validity, reliability, and classical assumption tests. Findings: CRPAIS, PAIS, and education level have a positive and significant effect, both partially and simultaneously, on employee performance, with a contribution of 69.2% in explaining variations in employee performance. Implications: improving employee performance, which is greatly influenced by the effectiveness of information systems and the quality of human resources, so organizations need to optimize the use of information technology and improve employee competency through continuous education and training. Originality: lies in the integration of two types of information systems, namely CRPAIS and PAIS, which are analyzed simultaneously with the variable of education level in influencing employee performance in the context of local government agencies, which is still relatively rarely studied simultaneously in previous research.

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