Article Per Year (5 Year)
p-Index From 2021 - 2026
0.817
P-Index
This Author published in this journals
All Journal Jurnal Ekonomi Best Journal of Administration and Management Multidisciplinary Indonesian Center Journal
Hasanudin
National University
Religion Humanities Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Social Sciences Other

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
THE INFLUENCE OF PRICE, LOCATION, AND PROMOTION ON BUYING INTEREST: COFFEE NAKO CIBUBUR Hasanudin; Delia Maretha Puspitasari
Jurnal Ekonomi Vol. 11 No. 03 (2022): Jurnal Ekonomi, 2022 Periode Desember
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The purpose of this research is to examine how selling aspects like price, place, and promotion influence consumer demand for Nako Cibubur Coffee. This study includes primary and secondary data via questionnaires mailed to 100 participants. Multiple linear regression is the analytical method used. Multiple linear regression analysis demonstrates that pricing has a statistically and practically big positive influence, that location has an effect, and that advertising has an effect on consumers' intentions to make a purchase. Results from this research suggest that Nako Coffee Cibubur's Price, Location, and Promotion may pique the curiosity of customers who already like Nako Coffee because of its quality and taste.
SUSTAINABLE AGILITY-DRIVEN CULTURE IN HUMAN RESOURCE MANAGEMENT: A PRIDE FRAMEWORK FOR FUTURE-READY ORGANIZATIONS Aghnia Wulandari; Suryono Efendi; Hasanudin; Yonghwa Han
Multidisciplinary Indonesian Center Journal (MICJO) Vol. 3 No. 1 (2026): Vol. 3 No. 1 Edisi Januari 2026
Publisher : PT. Jurnal Center Indonesia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62567/micjo.v3i1.1571

Abstract

This research develops the PRIDE Framework to integrate five interdependent dimensions, People (People-Centric Excellence), Resilience, Innovation, Development, and Empowerment, into a unified model explaining how HRM practices drive both sustainability and agility. A systematic literature review guided by PRISMA principles was conducted, selecting peer-reviewed empirical and conceptual studies that examine HRM, organizational agility, and sustainability. Thematic synthesis and reflexive analysis produced a circular puzzle architecture representing these dimensions and their interconnections. Findings reveal that integrated people-centric policies, robust knowledge management, embedded innovation practices, continuous learning, and distributed decision-making create synergistic capabilities that enable rapid adaptation while maintaining long-term viability. Critical enablers include psychological safety, holistic wellness initiatives, adaptive learning programs, and outcome-based empowerment. The framework addresses gaps by showing sustainability and agility as complementary imperatives rather than competing priorities. Future research should validate the framework through multi-level and longitudinal studies, incorporate diverse language sources for broader context, and explore the impacts of AI-enabled HRM on each dimension. Limitations involve temporal and linguistic scope.
ARTIFICIAL INTELLIGENCE IN FINANCIAL RISK MANAGEMENT: A SYSTEMATIC LITERATURE REVIEW ON ENHANCING ORGANIZATIONAL RESILIENCE FOR FUTURE GLOBAL FINANCIAL CRISES Yonghwa Han; Andini Nurwulandari; Hasanudin; Aghnia Wulandari
Multidisciplinary Indonesian Center Journal (MICJO) Vol. 3 No. 1 (2026): Vol. 3 No. 1 Edisi Januari 2026
Publisher : PT. Jurnal Center Indonesia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62567/micjo.v3i1.1572

Abstract

This study explores how incorporating artificial intelligence improves institutional resilience and overcomes the rigidity of conventional, data-based methods to alter financial risk management. To find patterns in AI applications, resilience theory, and integration pathways, a qualitative systematic literature review was carried out utilizing theme synthesis in accordance with PRISMA peer-reviewed protocols. Findings show that AI techniques, machine learning for tail-risk detection, deep learning for high-frequency forecasting, and explainable AI for transparent decisions, yield up to 28% reductions in forecasting errors and halve recovery times during crises. The hybrid CNN Transformer architectures and transformer-based NLP models significantly enhance predictive accuracy and forward-looking insights. The study suggests financial institutions adopt integrated AI frameworks, invest in data quality and human–AI collaboration, and implement principle-based governance to balance innovation with fairness and stability. Limitations include reliance on published literature and limited representation of emerging AI models, warranting future longitudinal and context-specific empirical research.
The Effect Of Investment Knowledge, Motivation, Minimum Capital And Risk Perception On Student Investment Interest In The Faculty Of Economics And Business National University In Capital Markets Hasanudin
Best Journal of Administration and Management Vol 1 No 4 (2023): Best Journal of Administration and Management
Publisher : International Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56403/bejam.v1i4.94

Abstract

The goal of this study is to disentangle the effects of investing-related knowledge, investment motivation, required starting capital, and perceived risk. In 2019, 453 full-time students and employees enrolled in the Management Study Program participated in this study. This study used a non-probabilistic sampling method called purposive sampling, in which a predetermined set of criteria had to be met in order for the sample of 212 students to be selected. The data in this study was gathered by distributing questionnaires to students using data collection tools. Data analysis techniques such as the use of the Statistical Product and Service Solution (SPSS) software, version 23.0, for descriptive and inferential statistics based on multiple linear regression. Statistically significant positive effects of motivation, minimum capital, and perception of risk on investment interest were found in this study. This study also found a positive effect of investing knowledge on investment interest, although the effect was not statistically significant.
Co-Authors Aghnia Wulandari Andini Nurwulandari Delia Maretha Puspitasari Suryono Efendi Yonghwa Han