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International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET)
Published by CV. RADJA PUBLIKA
ISSN : -     EISSN : 2827766X     DOI : https://doi.org/10.54443/ijset
Core Subject : Economy, Humanities, Science, Education, Agriculture,
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Economics, Econometrics & Finance Education
International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET) is an international journal that publishes popular articles in the fields of Social Science, Education, Economics, Agricultural Research, and Technology. IJSET is published every month in order to help researchers publish their research results quickly. The advantages of IJSET include: international indexing, fast review and publication processes, and affordable costs.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 1,318 Documents
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NEUROETHICAL CONSIDERATIONS IN NEUROMARKETING: A FRAMEWORK FOR RESPONSIBLE RESEARCH AND APPLICATION Khairul Putra; Lukmanul Hakim; Dahrul Aman Harahap
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 5 No. 5 (2026): APRIL
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.20094277

Abstract

This article examines the neuroethical considerations associated with the growing use of neuromarketing in contemporary marketing practice. Advances in neuroscience and technologies such as functional magnetic resonance imaging (fMRI), electroencephalography (EEG), and eye-tracking have enabled marketers to gain deeper insights into consumers’ subconscious responses. While these developments offer significant opportunities for improving marketing effectiveness, they also raise important ethical concerns related to consumer autonomy, privacy, and potential manipulation. Using a narrative literature review, this study synthesizes insights from marketing, neuroscience, and ethics to identify key ethical themes, including the protection of autonomy, risks of exploitation, data privacy, and the need for transparency and accountability. The article further explores neuroethical risks in practice, such as misuse of neural data and ethical issues involving vulnerable populations. Based on these findings, a neuroethical framework is proposed, grounded in the principles of autonomy, beneficence, non-maleficence, and justice. This framework provides guidance for responsible research and application in neuromarketing. The study contributes by integrating ethical theory with marketing practice and offers practical implications for organizations seeking to adopt neuromarketing responsibly. Future research should focus on empirical validation and cross-cultural applications of the framework.
GREEN INVESTMENT, DIGITAL TECHNOLOGY AND DIGITAL FINANCE CAPABILITY ON FINANCIAL SUSTAINABILITY Debbi Chyntia Ovami; Sari Wulandari; Junita Putri Rajana Harahap; Noor Marini Haji Abdullah; Noreen Azella Nawi; Suci Agsani
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 5 No. 5 (2026): APRIL
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.20065188

Abstract

This study aims to examine the role of Digital Finance Capability (DFC) in moderating the influence of green investment and digital technology on the financial sustainability of MSMEs. MSMEs, which play an important role in the Indonesian economy, often face obstacles in accessing technology and financing that can support financial sustainability. The method used in this study is a quantitative approach with a survey of MSMEs that have utilized digital technology and green investment. Primary data will be collected through a questionnaire distributed to MSME actors. The analysis technique used is Structural Equation Modeling (SEM) to test the relationship between the variables studied. The results of the study show that green investment does not have a significant effect on financial sustainability, while digital technology and digital finance capabilities have an effect on financial sustainability. Digital finance capabilities cannot moderate the influence of green investment and digital technology on financial sustainability.
STRATEGY OF TARU JURUG SURAKARTA ZATAN REGIONAL PARK IN INCREASING REGIONAL ORIGINAL REVENUE THROUGH IMPLEMENTATION OF GOOD CORPORATE GOVERNANCE Achmad Syukri Prihanto; Adji Suradji Muhammad
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 5 No. 5 (2026): APRIL
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.20093337

Abstract

Good Corporate Governance ( GCG ) principles in the Taru Jurug Zoo Regional Public Company Surakarta (Perumda TSTJ) in order to increase Regional Original Income (PAD). Perumda TSTJ is a Regionally-Owned Enterprise (BUMD) owned by the Surakarta City Government that manages the Taman Jurug tourist area. In 2023, Taman Jurug was revitalized and renamed Solo Safari. This study uses a qualitative descriptive approach. Primary data was obtained through interviews with key informants from Perumda TSTJ determined by purposive techniques and secondary data from a number of regulatory documents, financial reports, and other official publications. The results of the study indicate that after revitalization, the implementation of GCG principles , including transparency, accountability, responsibility, independence, and fairness, was carried out well and had positive implications for the company's performance and profits. The principle of transparency is evident in the revitalization process, which is carried out openly, thus increasing public trust. The principle of accountability is evident in the internal and external monitoring mechanisms implemented . The principle of responsibility is seen in how the management is responsible for the company's business sustainability by carrying out revitalization and operational cooperation with Taman Safari Indonesia. The principle of independence is evident in the company's management which is free from interference from unauthorized parties. Decisions are based solely on objective and professional business decisions. The principle of fairness ensures fair treatment for stakeholders related to Perumda TSTJ. In addition, this study found an increase in company revenue and profits as well as PAD deposits which increased 100% higher after the implementation of GCG . Supporting factors for the implementation of GCG are the strong commitment of the regional head and his regional apparatus along with supporting regulations that guide the implementation of GCG principles within the Surakarta City Government. In addition, the existence of competent human resources is also a major factor supporting GCG, such as the existence of an internal supervisory unit (SPI) and professional and competent management in zoo management, plus the use of information technology through management information systems, digital reporting systems, and internal supervisory applications that enable the monitoring process to run more efficiently and transparently to support the smooth implementation of GCG.
THE PRINCIPAL'S MANAGEMENT MODEL IN IMPLEMENTING A DEEP LEARNING–BASED CURRICULUM TO STRENGTHEN STUDENTS' CHARACTER AT SDN 004 TELUK BAYUR Anggunan Tunggal; Widyatmike Gede Mulawarman; Akhmad; Nurlaili; Haeruddin; Usfandi Haryaka
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 5 No. 4 (2026): MARCH
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.20039835

Abstract

This study was motivated by the importance of strengthening character education at the elementary school level as a foundation for developing students' personality, morality, and social responsibility amid the challenges of globalization, the influence of digital media, and the decline of moral values. The study aimed to analyze the principal's management model in implementing a deep learning–based curriculum to strengthen students' character, including aspects of planning, organizing, implementation, supervision and evaluation, as well as supporting and inhibiting factors. This research employed a qualitative approach with a case study method. Data were collected through in-depth interviews, observations, and documentation involving the school principal, teachers, and parents as research informants. Data analysis was conducted through data reduction, data display, and conclusion drawing using triangulation techniques. The results of the study indicate that the principal's management model is implemented through integrated management functions. In the planning stage, the principal builds a shared understanding of deep learning–based learning and aligns curriculum documents with character development goals. In the organizing stage, the principal optimizes school resources through the establishment of a curriculum team, the distribution of teachers' roles, and the involvement of parents as educational partners. The implementation of learning is carried out through project-based activities, reflection, and collaboration that encourage the development of values such as responsibility, empathy, discipline, cooperation, and independence among students. Supervision and evaluation are conducted continuously through classroom observations, review of teaching documents, student portfolios, and feedback from parents. The success of the implementation is supported by adaptive leadership of the principal, teacher commitment, and collaboration among school members, while the obstacles include variations in teachers' readiness, limited facilities and infrastructure, limited instructional time, and the geographical conditions of the school.
CONSPICUOUS CONSERVATION: THE ROLE OF SUSTAINABLE BRAND CHOICES IN SIGNALING IDENTITY AND SOCIAL STATUS Suharti; Lukmanul Hakim; Dahrul Aman Harahap
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 5 No. 5 (2026): APRIL
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.20062801

Abstract

This article examines the concept of conspicuous conservation, focusing on how sustainable brand choices function as signals of identity and social status in contemporary consumer behavior. As sustainability becomes increasingly visible in the marketplace, consumers are not only motivated by environmental concerns but also by the desire to express values and gain social recognition. Using a narrative literature review, this study integrates insights from marketing, sociology, and consumer psychology to explore the dual role of sustainable consumption as both ethical behavior and symbolic signaling. The findings highlight key themes, including sustainability as identity expression, status signaling through ethical consumption, the role of visibility, and the tension between intrinsic and extrinsic motivations. The study further explains the mechanisms of conspicuous conservation, emphasizing the importance of social comparison, cultural context, and public visibility in shaping consumer behavior. In addition, several moderating factors are identified, such as income, cultural norms, brand credibility, and consumer awareness. A conceptual framework is proposed to illustrate how sustainable choices translate into social recognition and consumer outcomes. The article contributes by linking sustainability with signaling theory and offers practical implications for designing authentic and effective sustainable branding strategies.
NAVIGATING ALGORITHMIC AVERSION: CONSUMER TRUST AND ADOPTION OF AI-GENERATED RECOMMENDATIONS IN HIGH-INVOLVEMENT CATEGORIES Ririn Laila Ulfah; Lukmanul Hakim; Dahrul Aman Harahap
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 5 No. 5 (2026): APRIL
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.20093138

Abstract

This article examines the phenomenon of algorithmic aversion and the factors influencing consumer trust and adoption of AI-generated recommendations, particularly in high-involvement categories such as finance, healthcare, and education. As artificial intelligence becomes increasingly embedded in decision-making processes, consumers are often faced with the challenge of relying on algorithmic systems for complex and high-stakes decisions. Using a narrative literature review, this study synthesizes insights from marketing, information systems, and consumer psychology to explore the dual nature of consumer responses, characterized by both algorithmic aversion and appreciation. The findings identify key themes, including the role of trust, perceived competence, transparency, and explainability in shaping acceptance of AI recommendations. The study also highlights the mechanisms underlying algorithmic aversion, such as perceived lack of empathy, sensitivity to errors, and threats to autonomy. In addition, several moderating factors are identified, including involvement level, consumer expertise, trust in technology, and cultural context. A conceptual framework is proposed to illustrate how these factors interact to influence adoption, reliance, or rejection of AI-generated recommendations. The article contributes by integrating trust theory with algorithmic decision-making and offers practical implications for designing human-centered AI systems.
THE TEMPORAL DYNAMICS OF CUSTOMER JOURNEY EMOTIONS: A CONTINUOUS-TIME MODELING APPROACH Tara Hasbelita; Lukmanul Hakim; Dahrul Aman Harahap
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 5 No. 5 (2026): APRIL
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.20124796

Abstract

This article examines the temporal dynamics of customer journey emotions and proposes a continuous-time modeling approach to better understand how emotions evolve throughout the customer experience. Traditional customer journey models often rely on static, stage-based representations that fail to capture the continuous and interconnected nature of emotional responses. Drawing on a narrative literature review across marketing, psychology, and data science, this study highlights the importance of viewing emotions as dynamic trajectories shaped by ongoing interactions. Key findings emphasize the role of emotional peaks, troughs, critical moments, and lag effects in influencing overall customer perceptions and behavioral outcomes. The study introduces a continuous-time modeling framework that integrates customer interactions as inputs, emotional state changes as processes, contextual and psychological factors as mediators, and outcomes such as satisfaction and loyalty. Additionally, moderating factors including customer characteristics, interaction channels, timing, and external context are identified as crucial in shaping emotional dynamics. The article contributes theoretically by integrating temporal perspectives with customer experience research and offers practical insights for real-time monitoring and adaptive experience design. Future research should focus on empirical validation and the application of advanced analytics to capture real-time emotional changes in customer journeys.
METAVERSE MARKETING: CONCEPTUAL FOUNDATIONS AND A RESEARCH AGENDA FOR BRAND PRESENCE, COMMUNITY, AND COMMERCE Subekti; Lukmanul Hakim; Tibrani
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 5 No. 5 (2026): APRIL
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.20092681

Abstract

This article examines the conceptual foundations of metaverse marketing and proposes a research agenda centered on three core dimensions: brand presence, community, and commerce. As immersive technologies such as virtual reality, augmented reality, blockchain, and artificial intelligence converge, the metaverse is emerging as a transformative environment for marketing practice. Drawing on a narrative literature review across marketing, technology, and consumer behavior, this study highlights the shift from traditional digital marketing toward interactive, experiential, and participatory engagement. The findings emphasize that effective brand presence in the metaverse requires immersive experiences and virtual storytelling, while community plays a critical role in fostering social interaction, co-creation, and brand advocacy. Commerce introduces new opportunities for value creation through virtual goods, digital assets, and decentralized transactions enabled by blockchain technologies. The article proposes a conceptual framework that integrates these three pillars and identifies key interaction mechanisms, including co-creation, engagement, and transactions, which drive outcomes such as brand equity, loyalty, and economic value. Additionally, moderating factors such as technology adoption, consumer motivations, and platform trust are discussed. The study contributes by offering a holistic framework and outlining future research directions for understanding and leveraging metaverse marketing.
THE INFLUENCE OF TRANSFORMATIONAL LEADERSHIP AND WORK ENVIRONMENT ON NURSES’ PERFORMANCE M Ahmed; Kosasih
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 5 No. 4 (2026): MARCH
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.20033217

Abstract

This study aims to analyze the influence of transformational leadership and work environment on nurses’ performance at Hospital X. The research employs a quantitative approach with a cross-sectional design and involves 30 nurses as respondents. Data were collected using structured questionnaires and analyzed using multiple linear regression, after conducting validity, reliability, normality, multicollinearity, and heteroskedasticity tests to ensure the quality of the data. The results show that transformational leadership and work environment both have a positive and significant effect on nurses’ performance, both partially and simultaneously. The regression analysis indicates that transformational leadership has a stronger effect compared to the work environment, while the coefficient of determination (R²) shows that 57.9% of the variation in nurses’ performance is explained by these two variables. The study concludes that effective transformational leadership and a supportive work environment are critical factors in enhancing nurses’ performance, which in turn contributes to improved healthcare service quality.
ENHANCING JOB FIT PREDICTION IN CORPORATIONS – A COMPARATIVE MACHINE LEARNING STUDY UTILIZING GRADIENT BOOSTING Bondan Ari Wijaya; Imam Yuadi
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 5 No. 4 (2026): MARCH
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.20035466

Abstract

The test results demonstrated how well the Gradient Boosting model could predict outcomes, with the model achieving the best performance metrics, such as an overall accuracy of 98% with 10-fold cross-validation. using group learning techniques to evaluate job fit. This remarkable performance was attained despite the organizational dataset's inherent class imbalance. Crucially, the model showed constant effectiveness in every aspect of job fit. The majority class, Perfect Match (98.8%), is divided into groups based on the difference between PeG and PoG. The minor groups, Overqualified (96.2%) and Underqualified (96.5%), are also divided into groups with strong accuracy and memory. "Jenjang - Main Grp "Text" and "PeG" are the two most important things that can tell you work fit," according to the feature importance analysis. These data give us a solid, objective basis for future talent management and placement decisions by clearly demonstrating that there are distinct, data-driven patterns in placing people in jobs at a company. Machine Learning, Job Fit, Human Resources, Gradient Boosting and Personnel Analytics.

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