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Journal : Luxury: Landscape of Business Administration

Building a Value-Oriented Digital Business Model for Traditional Anti-Migraine Herbal Tea Products Renaldo, Nicholas; Veronica, Kristy; Panjaitan, Harry Patuan; Junaedi, Achmad Tavip; Fadrul, Fadrul; Andi, Andi; Suhardjo, Suhardjo; Susanti, Wilda; Tendra, Gusrio; Jahrizal, Jahrizal
Luxury: Landscape of Business Administration Vol. 3 No. 1 (2025): Luxury: Landscape of Business Administration
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/luxury.v3i1.125

Abstract

The growing demand for natural health solutions and the integration of digital lifestyles presents new opportunities for innovation in traditional herbal products. This study aims to design a value-oriented digital business model for an anti-migraine herbal tea, combining traditional herbal knowledge with modern digital entrepreneurship and accounting systems. The research used a qualitative approach, integrating the Business Model Canvas (BMC), Value Proposition Canvas (VPC), and digital accounting to formulate a scalable and consumer-centric business framework. The herbal formulation, consisting of ginger, peppermint, turmeric, lemongrass, lavender, cinnamon, and stevia, was developed based on scientific literature and traditional practices. Through consumer insights, market segmentation, and prototype evaluation with stakeholders and experts, the model was validated for its market viability and alignment with health-conscious and digital native consumers. The findings indicate that the integration of digital accounting enhances transparency, financial control, and business credibility, while the overall model supports sustainability, traceability, and value creation. This research contributes to the fields of digital business, sustainable product innovation, and the commercialization of traditional medicines. Future research is recommended to combine quantitative validation and clinical testing to improve the robustness and impact of the model.
Economic Feasibility of Nutrient-Rich Fertilizer Derived from Solid and Empty Fruit Bunches of Oil Palm Setyawan, Onny; Renaldo, Nicholas; Suhardjo, Suhardjo; Tendra, Gusrio; Veronica, Kristy; Junaedi, Achmad Tavip; Tanjung, Amries Rusli
Luxury: Landscape of Business Administration Vol. 3 No. 2 (2025): Luxury: Landscape of Business Administration
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/luxury.v3i2.126

Abstract

This study aims to evaluate the economic feasibility of producing nutrient-rich fertilizers from solid fruit bunches (FBs) and empty fruit bunches of oil palm, taking into account nutrient composition, production process, cost structure, and potential market opportunities. This study bridges the gap between agricultural science and business economics by combining nutrient analysis of oil palm solids and empty fruit bunches with a cost-benefit evaluation and market potential assessment. This study used a mixed-methods design that combined: (1) experimental laboratory analysis (nutrient profiles and processing trials); (2) process mass balance and cost accounting to develop a production cost model; and (3) market and financial analysis (surveys, price benchmarking, and financial valuation). This study shows that solid palm oil waste, specifically solid decanter cake and empty fruit bunches (jangkos), contains significant macro and micronutrients that can be converted into high-value products such as organic fertilizer and soil conditioner. Provide palm oil mills with a science-based business model to convert waste into value-added products.
Stakeholders’ Perspectives on Banking Support and Digital Accounting Adoption in the Palm Oil Industry Panjaitan, Harry Patuan; Renaldo, Nicholas; Junaedi, Achmad Tavip; Nyoto, Nyoto; Jahrizal, Jahrizal; Dalil, M; Arief, Dodi Sofyan; Puspita, Fifi; Nyoto, Rebecca La Volla; Veronica, Kristy
Luxury: Landscape of Business Administration Vol. 3 No. 2 (2025): Luxury: Landscape of Business Administration
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/luxury.v3i2.135

Abstract

This study aims to investigate how stakeholders, including palm oil enterprises, smallholder cooperatives, banking institutions, and regulators, perceive the role of banking support in facilitating or hindering the adoption of digital accounting systems. This study employs a qualitative exploratory design to capture the diverse perspectives of stakeholders on the role of banking support in facilitating digital accounting adoption within the palm oil industry. A purposive sampling strategy will be employed to ensure participants possess direct experience with either banking support or digital accounting adoption. Data will be analyzed using thematic analysis. Interview transcripts, focus group notes, and documents will be coded inductively and deductively, guided by the research questions. The findings reveal that banks are not merely providers of financial capital but also act as institutional gatekeepers that shape reporting practices and encourage digital transformation. Larger enterprises view digital accounting as a strategic tool for efficiency and compliance, while smallholders often see it as a burdensome requirement.
Smart Processing Machines and Business Efficiency in Goat Milk Agro-Enterprises Junaedi, Achmad Tavip; Panjaitan, Harry Patuan; Renaldo, Nicholas; Nyoto, Nyoto; Jahrizal, Jahrizal; Dalil, M; Koto, Jaswar; Musa, Sulaiman; Wahid, Nabila; Veronica, Kristy; Faruq, Umar
Luxury: Landscape of Business Administration Vol. 3 No. 2 (2025): Luxury: Landscape of Business Administration
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/luxury.v3i2.137

Abstract

The increasing demand for functional and health-oriented dairy products has positioned goat milk agro-enterprises as a promising business sector, particularly in emerging economies. Despite this potential, many goat milk businesses face persistent challenges related to production inefficiency, high operational costs, and limited scalability. This study aims to examine the impact of smart processing machines on business efficiency in goat milk agro-enterprises. Using a quantitative approach, data were collected from small and medium-sized goat milk processing enterprises and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results reveal that smart processing machine adoption has a positive and significant effect on business efficiency, including cost efficiency, productivity, and operational effectiveness. The findings indicate that smart processing machines function not merely as technological tools but as strategic business resources that enhance operational performance and competitiveness. This study contributes to the business and agribusiness literature by providing empirical evidence at the production-machine level and highlighting the strategic value of smart manufacturing technologies in small-scale agro-enterprises. The findings offer practical insights for business owners, policymakers, and technology developers in promoting sustainable and efficient goat milk processing businesses.
Big Data Analytics for Demand Forecasting in the Mushroom Supply Chain Renaldo, Nicholas; Veronica, Kristy; Junaedi, Achmad Tavip; Suhardjo, Suhardjo; Tanjung, Amries Rusli; Indrastuti, Sri; Susanti, Wilda; Koto, Jaswar; Musa, Sulaiman; Wahid, Nabila
Luxury: Landscape of Business Administration Vol. 4 No. 1 (2026): Luxury: Landscape of Business Administration
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/luxury.v4i1.138

Abstract

The mushroom industry plays an increasingly important role in the agri-food sector due to rising demand for nutritious, functional, and sustainable food products. However, the mushroom supply chain faces significant challenges related to perishability, short shelf life, and demand uncertainty, which often result in inventory losses and inefficiencies. This study examines the role of big data analytics capability in enhancing demand forecasting accuracy and its impact on supply chain performance within the mushroom industry. Using a quantitative explanatory research design, data were collected through a structured questionnaire survey of mushroom supply chain actors, including producers, processors, distributors, and retailers. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results reveal that big data analytics capability has a significant positive effect on demand forecasting accuracy and supply chain performance. Furthermore, demand forecasting accuracy partially mediates the relationship between big data analytics capability and supply chain performance. These findings highlight the strategic importance of data-driven forecasting in managing demand uncertainty and improving operational efficiency in perishable agribusiness supply chains. This study contributes to the literature by extending big data analytics and demand forecasting research to the mushroom industry, providing both theoretical insights and practical implications for enhancing supply chain sustainability and competitiveness.