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Enhancing Rural Economic Potential through Ecosystem Profitability Analysis: A Strategic Approach for Ultra-Micro Enterprises. Salat, Roy; Rinela, Yuniar Yesa; Chandramitasari, Widyaning; Wibawa, Tio Anta; Dewi, Nurma Gupita
Jurnal Akuntansi dan Bisnis Vol 10, No 02 (2024): Edisi Desember 2024
Publisher : Universitas YPPI Rembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47686/jab.v10i02.734

Abstract

Rural economies play a critical role in national development, yet their potential often remains underutilized due to structural and operational challenges faced by ultra-micro enterprises (UMEs). This study explores a strategic framework for enhancing rural economic potential through Ecosystem Profitability Analysis (EPA). EPA provides a holistic evaluation of interconnected economic activities within rural ecosystems, identifying synergies and gaps in resource allocation, market access, and value chain integration. By applying this approach, the study examines case studies of UMEs in rural regions, highlighting key success factors and barriers to scalability. Findings suggest that adopting EPA enables UMEs to optimize resource utilization, improve profitability, and strengthen their contribution to local economies. Recommendations are made for policymakers and development practitioners to incorporate EPA as a tool for fostering sustainable growth in rural enterprises. This research underscores the importance of ecosystem-based strategies in addressing systemic inefficiencies and empowering rural economic resilience.Keywords: Rural economics, ultra-micro enterprises, ecosystem profitability analysis, economic potential, strategic framework.
Analisis Layanan Kurban Berbasis Teknologi Digital Menggunakan Analytical Network Process dan New Product Development pada Platform Sebisaku (Semua Bisa Kurban) Salat, Roy; Pratiwi, Emmy
Ranah Research : Journal of Multidisciplinary Research and Development Vol. 7 No. 5 (2025): Ranah Research : Journal Of Multidisciplinary Research and Development
Publisher : Dinasti Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/rrj.v7i5.1681

Abstract

This study aims to analyze digital-based qurban services provided by the SEBISAKU (Semua Bisa Kurban) platform using the Analytical Network Process (ANP) method and the New Product Development (NPD) framework. This study involved 99 respondents who were a combination of active users, less active users and inactive users of the SEBISAKU platform. This study explores the parameters that affect SEBISAKU services based on respondents' perceptions and expectations using SERVQUAL, then elaborates these interrelated parameters using ANP to determine the priorities of all existing parameters. Furthermore, the priority parameters generated from ANP will be elaborated using Quality Function Deployment (QFD) to determine the functional and technical requirements needed for these interrelated parameters. Furthermore, this study analyzes all the results of the methods used in this study using NPD. The results of the study indicate that the services available on the SEBISAKU platform are currently still not in accordance with respondents' expectations (with a SERVQUAL value of -2.12). The combination of ANP, QFD and NPD used in this study shows that the SEBISAKU platform can be optimized by elaborating all parameters resulting from a series of methods used, customer-focused strategies, utilizing digital marketing techniques such as Guerilla Marketing that emphasizes low-cost marketing but can reach many people efficiently. The business model analysis shows that the operational approach of this platform is economically viable, with a positive Benefit-to-Cost (B/C) ratio in different logistics scenarios. The study also highlights that the introduction of new features and strategic marketing initiatives can significantly increase revenue, as well as improve user experience and business profitability, thus ensuring the success and sustainability of the platform in the long term.
Exploring The Potential Of Artificial Intelligenge And Personalized Services In Transforming The Golf Industry Supari, Supari; Salat, Roy; Wibawa, Tio Anta; Dewi, Nurma Gupita
Citizen : Jurnal Ilmiah Multidisiplin Indonesia Vol. 5 No. 4 (2025): CITIZEN: Jurnal Ilmiah Multidisiplin Indonesia
Publisher : DAS Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53866/jimi.v5i4.938

Abstract

The golf industry, steeped in tradition and characterized by its unique culture, is currently at a crossroads, facing both unprecedented opportunities and significant challenges as it navigates the integration of Artificial Intelligence (AI) and personalized services. As technology advances, AI is becoming increasingly pivotal in transforming various aspects of golf, from enhancing equipment and training methodologies to optimizing golf course management through data-driven insights and automation. This integration not only improves operational efficiency but also enriches the overall golfing experience for players by tailoring services to meet their individual needs. Meanwhile, personalized services, which range from customized coaching programs to bespoke membership experiences, are gaining traction as a means to boost customer satisfaction and loyalty within the industry. However, the potential of these innovations is tempered by various barriers, including resistance to technological change, privacy concerns, and the need for significant investment in infrastructure. This paper aims to explore the multifaceted role of AI and personalized services in the golf industry, highlighting the opportunities they present for revenue generation and market expansion, while also addressing the challenges that must be overcome to fully realize their benefits. By examining the current landscape, this research provides insights into how the golf industry can adapt and thrive in a rapidly evolving technological environment, ensuring its relevance and sustainability amid changing consumer expectations and competitive pressures.