Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
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This Author published in this journals
All Journal Harmony Management: International Journal of Management Science and Business Management Dynamics: International Journal of Management and Digital Sciences Global Management: International Journal of Management Science and Entrepreneurship
Andri Muhamad Nuroni
Unknown Affiliation
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Integrated Operational Management for Smart & Green Village: A Novel Model Based on Operational Efficiency, Technology, and Community Participation Mia Kusmiati; Andri Muhamad Nuroni; Hari Mulia; Hadi Sunyata
Harmony Management: International Journal of Management Science and Business Vol. 1 No. 3 (2024): September: International Journal of Management Science and Business
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/harmonymanagement.v1i3.435

Abstract

Purpose– The objective of this research is to develop an integrated operational management model for Smart & Green Villages (SGVs), combining the principles of smart villages and green villages to promote sustainable, inclusive, and adaptive rural development. This research emphasizes operational efficiency, environmental sustainability, digital technology utilization, and community participation as key pillars. Design/Methodology/Approach – A mixed-methods approach was adopted, involving surveys of villages in Indonesia that have begun adopting SGV principles, in-depth interviews with village officials and key stakeholders, and case studies of villages that have successfully implemented smart technologies and environmentally friendly practices. Data triangulation was applied to strengthen the validity of the findings. Findings – The study shows that integrating functional organizational structures, optimizing digital technologies such as the Internet of Things (IoT) and village information systems, and building participatory community mechanisms significantly improve public service delivery, reduce operational costs, enhance environmental management, and strengthen socio-economic well-being. The study also identified new operational variables, including cost-effective innovation, digital local governance, inter-village shared resources, and socio-environmental audits as a multidimensional evaluation tool. Practical implications – These findings provide a practical framework for policymakers, local governments, and community leaders to implement and evaluate SGV. The multidimensional indicators proposed in this study enable continuous monitoring and adaptation of village operations to local conditions and resource constraints. Originality/Value – This study is one of the first to propose a concrete and replicable SGV operational management model by introducing new variables and multidimensional evaluation indicators. It enriches the theoretical discourse on smart and green village integration while offering actionable strategies for sustainable rural governance.
Integrated Operational Management for Smart & Green Village: A Novel Model Based on Operational Efficiency, Technology, and Community Participation Mia Kusmiati; Andri Muhamad Nuroni; Hadi Sunyata
Management Dynamics: International Journal of Management and Digital Sciences Vol. 2 No. 4 (2025): International Journal of Management and Digital Sciences
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/managementdynamics.v2i4.420

Abstract

Purpose– The objective of this research is to develop an integrated operational management model for Smart & Green Villages (SGVs), combining the principles of smart villages and green villages to promote sustainable, inclusive, and adaptive rural development. This research emphasizes operational efficiency, environmental sustainability, digital technology utilization, and community participation as key pillars. Design/Methodology/Approach – A mixed-methods approach was adopted, involving surveys of villages in Indonesia that have begun adopting SGV principles, in-depth interviews with village officials and key stakeholders, and case studies of villages that have successfully implemented smart technologies and environmentally friendly practices. Data triangulation was applied to strengthen the validity of the findings. Findings – The study shows that integrating functional organizational structures, optimizing digital technologies such as the Internet of Things (IoT) and village information systems, and building participatory community mechanisms significantly improve public service delivery, reduce operational costs, enhance environmental management, and strengthen socio-economic well-being. The study also identified new operational variables, including cost-effective innovation, digital local governance, inter-village shared resources, and socio-environmental audits as a multidimensional evaluation tool. Practical implications – These findings provide a practical framework for policymakers, local governments, and community leaders to implement and evaluate SGV. The multidimensional indicators proposed in this study enable continuous monitoring and adaptation of village operations to local conditions and resource constraints. Originality/Value – This study is one of the first to propose a concrete and replicable SGV operational management model by introducing new variables and multidimensional evaluation indicators. It enriches the theoretical discourse on smart and green village integration while offering actionable strategies for sustainable rural governance.
Quality Management–Based Marketing Strategy for Kombucha ‘Rumah SCOBY DBA’: A Study at Yayasan Dharma Bintang Akademia Hari Mulia; Suca Rusdian; Junaedi Junaedi; Andri Muhamad Nuroni; Mia Kusmiati; Yeti Rosita; Dini Nurhayati; Sovian Aritonang; Avinash Pawar
Global Management: International Journal of Management Science and Entrepreneurship Vol. 1 No. 3 (2024): August : International Journal of Management Science and Entrepreneurship
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/globalmanagement.v1i3.440

Abstract

This study analyzes the strategic role of quality-based marketing models in enhancing the competitiveness of kombucha products, with a specific focus on Rumah SCOBY DBA, produced by the Yayasan Dharma Bintang Akademia. By integrating Total Quality Management (TQM), Quality Assurance (QA), and Quality Control (QC), the research explores how quality-driven frameworks contribute to marketing effectiveness, consumer trust, brand positioning, and sustainable performance in the functional beverage industry. Employing a Systematic Literature Review (SLR) combined with conceptual analysis, the study systematically examined publications from 2015 to 2025 across leading academic databases, focusing on themes of quality management, functional beverage marketing, kombucha production, consumer behavior, and digital strategies. The findings reveal that product quality—characterized by fermentation stability, microbiological safety, and nutritional consistency—serves as the primary driver of consumer purchase intention. Process quality, through standardized SOPs, hygiene protocols, and traceability systems, reinforces credibility, while service quality, including transparent labeling, health education, and digital engagement, strengthens brand trust. Integrating TQM principles into marketing fosters consumer loyalty, differentiates brands in competitive markets, and supports long-term sustainability. This study provides practical guidance for producers, community-based enterprises, and policymakers to adopt quality-driven marketing models, offering a novel conceptual framework tailored to kombucha products and mapping future research directions in functional beverage innovation.
Co-Authors Avinash Pawar Dini Nurhayati Hadi Sunyata Hari Mulia Junaedi Junaedi Mia Kusmiati Sovian Aritonang Suca Rusdian Yeti Rosita