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Journal : Multidisciplinary Indonesian Center Journal

THE ROLE OF VIRTUAL LEADERSHIP AND COLLABORATION TOOLS IN ENHANCING REMOTE TEAM PRODUCTIVITY IN SOFTWARE HOUSE INDUSTRY Aghnia Wulandari; Yonghwa Han; Edi Sugiono
Multidisciplinary Indonesian Center Journal (MICJO) Vol. 2 No. 2 (2025): Vol. 2 No. 2 Edisi April 2025
Publisher : PT. Jurnal Center Indonesia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62567/micjo.v2i2.517

Abstract

This study explores the critical role of virtual leadership and collaboration tools in enhancing remote team productivity within the software house industry. As organizations increasingly adopt remote work models, effective virtual leadership and the use of digital collaboration platforms have become essential for maintaining team cohesion and productivity. Through a comprehensive analysis of current practices and emerging technologies, this research aims to identify key strategies for optimizing remote team performance. The study employs a mixed-methods approach, combining quantitative surveys with qualitative interviews of software industry professionals. Findings reveal that successful virtual leadership relies on a combination of clear communication, trust-building, and the strategic use of digital tools. Furthermore, the research highlights the importance of selecting appropriate collaboration platforms that align with team needs and workflow processes. This study contributes to the growing body of literature on remote work management and provides practical insights for software house leaders seeking to enhance their virtual team's productivity.
CUSTOMER-DRIVEN EXCELLENCE STRATEGY: LEVERAGING SERVICE QUALITY, BRAND CREDIBILITY, AND PERCEIVED VALUE IN THE UMRAH TRAVEL INDUSTRY IN DEPOK CITY Wulandari, Aghnia; Efendi, Suryono; Hasanudin
Multidisciplinary Indonesian Center Journal (MICJO) Vol. 2 No. 4 (2025): Vol. 2 No. 4 Edisi Oktober 2025
Publisher : PT. Jurnal Center Indonesia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62567/micjo.v2i4.1146

Abstract

This study examines the implementation of customer-driven excellence strategy in the Umrah travel industry in Depok City by investigating the relationships between service quality, brand credibility, perceived value, and customer-driven excellence outcomes. Using a quantitative research approach with Partial Least Squares Structural Equation Modeling (PLS-SEM), data were collected from 105 customers who have utilized Umrah travel services within the past two years. The measurement model demonstrated excellent reliability and validity, with all constructs meeting stringent psychometric criteria for convergent and discriminant validity. The structural model reveals that all three hypotheses are strongly supported, with brand credibility emerging as the most influential factor (β = 0.398, p < 0.001), followed by perceived value (β = 0.356, p < 0.001) and service quality (β = 0.285, p < 0.001). The integrated model explains 74.2% of variance in customer-driven excellence, demonstrating strong explanatory power and large predictive relevance (Q² = 0.486). These findings provide empirical evidence that successful customer-driven excellence strategy requires integrated approaches prioritizing brand credibility development while simultaneously enhancing perceived value and service quality. The study offers valuable insights for Umrah travel operators seeking to optimize competitive advantage through comprehensive customer excellence strategies that address both functional and emotional dimensions of religious tourism services.
DAMPAK PRODUK UMKM YANG BERLABEL HALAL TERHADAP KEPUTUSAN PEMBELIAN KONSUMEN MUSLIM Wulandari, Aghnia; Octavia, Santi; Plasnajaya, Rizki
Multidisciplinary Indonesian Center Journal (MICJO) Vol. 1 No. 3 (2024): Vol. 1 No. 3 Edisi Juli 2024
Publisher : PT. Jurnal Center Indonesia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62567/micjo.v1i3.136

Abstract

Sejalan dengan program pemerintah dan adanya peraturan undang-undang mengenai jaminan dan kewajiban dari kepemilikan sertifikasi halal pada produk, maka ini menjadi daya tarik sendiri bagi pelaku usaha untuk membangun nama produk yang baik di mata konsumen . Urgensi label halal pada produk yang ditawarkan oleh UMKM sangat tinggi, khususnya bagi produk makanan. Artinya tidak hanya legalitas usaha yang dilirik oleh konsumen, tetapi label halal bagi sebagian konsumen telah menjadi pertimbangan tersendiri dalam memilih produk makanan yang hendak dikonsumsi.Tujuan dari penelitian ini adalah untuk mengetahui dan menganalisis Dampak Sertifikasi halal terhadap minat beli konsumen pada produk UMKM . Usaha Kecil Menengah (UKM) memiliki peran yang cukup kuat dalam pembangunan ekonomi Indonesia dan dianggap sebagai motor penggerak perekonomian suatu daerah. Metode penelitian yang digunakan pada penelitian ini adalah kausalitas murni atau sebab akibat, oleh karena itu dijudul diawali kata dampak. Bentuk data yang diperoleh baik yang bersifat kuantitatif maupun yang bersifat kualitatif diteliti dengan menggunakan jenis penelitian deskriptif verifikatif.
SUSTAINABLE AGILITY-DRIVEN CULTURE IN HUMAN RESOURCE MANAGEMENT: A PRIDE FRAMEWORK FOR FUTURE-READY ORGANIZATIONS Wulandari, Aghnia; Efendi, Suryono; Hasanudin; Han, Yonghwa
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 Han, Yonghwa; Nurwulandari, Andini; Hasanudin; Wulandari, Aghnia
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.