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All Journal Jurnal Aplikasi Bisnis dan Manajemen (JABM) E-Journal The Accounting Journal of Binaniaga Spatial : Wahana Komunikasi dan Informasi Geografi Procuratio : Jurnal Ilmiah Manajemen Kurs : Jurnal Akuntansi, Kewirausahaan dan Bisnis Bilancia : Jurnal Ilmiah Akuntansi Parameter Jurnal Akuntansi Keuangan dan Bisnis JAKPI Journal of Applied Business and Technology Reflection: Education and Pedagogical Insights PROCEEDING OF INTERNATIONAL CONFERENCE ON BUSINESS MANAGEMENT AND ACCOUNTING Luxury: Landscape of Business Administration Interconnection: An Economic Perspective Horizon Nexus Synergy: A Business Perspective Journal of Clinical Microbiology and Infectious Diseases JUDIKAT: Jurnal Pengabdian Kepada Masyarakat Purbawidya: Jurnal Penelitian dan Pengembangan Arkeologi
Suhardjo
Institut Bisnis Dan Teknologi Pelita Indonesia
Religion Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Environmental Science Immunology & microbiology Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Journal : luxury landscape of business administration

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Customer Satisfaction with Online Food Delivery Services Suhardjo, Suhardjo; Renaldo, Nicholas; Sevendy, Tandy; Wahid, Nabila; Cecilia, Cecilia
Luxury: Landscape of Business Administration Vol. 1 No. 2 (2023): Luxury: Landscape of Business Administration
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/luxury.v1i2.27

Abstract

The rapid growth of online food delivery services in Indonesia, especially in Pekanbaru, has led to changes in consumer behavior. As a result, companies need to focus on various factors that can enhance customer satisfaction. This study investigates how service quality, promotional activities, and the user-friendliness of the delivery app impact customer satisfaction within this context. Sampling was conducted using a non-probability technique due to the unequal opportunity for all individuals to be part of the sample. The Roscoe approach was used to determine the sample size, resulting in 150 respondents. Data was collected through a questionnaire using a 5-point Likert scale, and analysis was performed using multiple linear regression and the SPSS 21 software. The findings of the study demonstrate that service quality, promotions, and ease of using the app all have a significant influence on customer satisfaction.
Use of AI-based Banking Applications for Customer Service Junaedi, Achmad Tavip; Suhardjo, Suhardjo; Andi, Andi; Putri, Novita Yulia; Hutahuruk, Marice Br; Renaldo, Nicholas; Musa, Sulaiman; Cecilia, Cecilia
Luxury: Landscape of Business Administration Vol. 2 No. 2 (2024): Luxury: Landscape of Business Administration
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/luxury.v2i2.100

Abstract

This paper explores the state-of-the-art advancements in AI-based banking applications and their impact on customer service, focusing on their capabilities, benefits, and potential challenges. The descriptive qualitative method is used to examine real-world applications of AI in banking, focusing on their operational mechanisms and influence on customer experiences. The data analysis process involves the following steps: Thematic Analysis, Comparative Analysis, and Content Analysis. AI technologies such as chatbots, virtual assistants, and fraud detection systems enhance operational efficiency, provide personalized experiences, and improve security in banking. AI-based banking applications have significantly enhanced customer service by improving operational efficiency, personalization, and security, leading to higher customer satisfaction. Future research can investigate frameworks for ensuring fairness, transparency, and accountability in AI-driven customer service systems.
A Qualitative Study on the Role of Big Data Technology in Influencing Capital Structure, Profitability, Dividend Policy, Firm Performance, Firm Value, and Sustainability Renaldo, Nicholas; Junaedi, Achmad Tavip; Suhardjo, Suhardjo; Andi, Andi; Wahid, Nabila; Cecilia, Cecilia
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.v3i1.120

Abstract

This study seeks to explore how organizations perceive and utilize Big Data technology in shaping financial and sustainability strategies. This study also develops a new measurement for Big Data Technology variable. This study employs a qualitative research design using a multiple case study approach to gain in-depth insights into how firms adopt and interpret Big Data technology in relation to financial and sustainability outcomes. Data will be transcribed and coded using qualitative analysis software. Big Data Technology have a great effect on Capital Structure, Profitability, Dividend Policy, Firm Performance, Firm Value, and Sustainability. Big Data is not just a technological tool, but a strategic asset that supports integrated decision-making across both financial and non-financial performance areas. Future studies could use quantitative or mixed-method approaches to test hypotheses derived from this qualitative research, such as measuring the impact of Big Data maturity on profitability or ESG scores.
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.
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.
Material Flow Cost Accounting (MFCA)-Driven Smart Goat Livestock Management System Prayetno, Muhammad Pringgo; Renaldo, Nicholas; Faruq, Umar; Junaedi, Achmad Tavip; Hutahuruk, Marice Br; Suhardjo, Suhardjo; Prihastomo, Arih Dwi; Nyoto, Nyoto; Panjaitan, Harry Patuan; Fransisca, Luciana
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.v4i1.148

Abstract

The livestock sector plays a crucial role in food security and rural economic resilience; however, goat farming management in developing economies remains largely traditional and weakly integrated with structured environmental accounting systems. This study develops and validates a Material Flow Cost Accounting (MFCA)-Driven Smart Goat Livestock Management System, which integrates environmental management accounting, Internet of Things (IoT) monitoring, emission estimation, and artificial intelligence (AI)-based decision support within a unified digital platform. Using a design science research approach combined with field validation, the system was implemented in a medium-scale goat farm over a two-month period. The MFCA model quantified material inputs and outputs in both physical and monetary terms, including feed conversion, waste generation, and methane (CH₄) and nitrous oxide (N₂O) emissions based on IPCC Tier 1 guidelines. The results demonstrate improvements in feed efficiency (from 74% to 84%), mortality reduction (from 8% to 4%), increased data accuracy (from 60% to 92%), and a 22% improvement in eco-efficiency ratios. The AI module achieved 87% accuracy in estrus detection and 84% accuracy in early disease classification. The study extends MFCA application from manufacturing to biological production systems and introduces the concept of accounting-driven smart farming, where environmental accounting is embedded within digital infrastructure. The findings contribute to the advancement of Digital Environmental Management Accounting (Digital EMA) and provide a scalable model for sustainable livestock transformation in emerging economies.
Co-Authors Achmad Tavip Junaedi Aminuyati Amries Rusli Tanjung Amries Rusli Tanjung Andi Andi Andi Andi Andi Anton Anton Anton Anton Aprilia, Bord Nandre Aris Astuti Dara Anjeli Augustine, Yvonne Aulia Ramadhani Cecilia Cecilia, Cecilia Dadi Komardi Dalil, M Dalil, M. David David Davin, Michael Elian Dhea Anggelina Dilahk Yladbla Dodi Sofyan Arief, Dodi Sofyan Eddy, Pujiono Efi Rofianto Hia Emiliana Shania Meta Nahak Fadrul Fadrul Fadrul, Fadrul Fahmi Oscandar Fitri Yani Fransisca Hanita Rusgowanto Fransisca, Luciana Geovanie, Geovanie Gusrio Tendra Hadi, Syukri Haristan, Meiviana Harry Patuan Panjaitan Hinsatopa Simatupang Horsiando, Eric Hutahuruk, Marice Br I Gusti Ayu Asri Pramesti Ienne Yoseria Putri Ienne Yoseria Putri Indra Tri Mahayana Indrastuti, Sri Indri Yovita Intan Purnama Intan Purnama Jahrizal Jayawarsa, A.A. Ketut Jelia Juventia Jenny Angelica Jessen, Jessen Karina, Stefani Melisa Khomsiyah, Khomsiyah Komardi, Dadi Koto, Jaswar Kristy Veronica Kudri, Muhammad Wan Lutfi Yondri Mardhian, Deby Fajar Marice Br Hutahuruk Meyer, Kaspar Muhammad Adrian Agusta Mukhsin Mukhsin Murtanto Murtanto Musa, Sulaiman Nabila Hestia Namso Ukanahseil Napitupulu, Ryan Pardomuan Nicholas Renaldo Nicholas, Eric Novita Yulia Putri Nuriman M. Nur Nyoto Nyoto Nyoto, Nyoto Nyoto, Rebeccca La Volla Octavellyn, Shierly Onny Setyawan Pacquiao, Jose Rodrigo Panggabean, Jessylane Prayetno, Muhammad Pringgo Prihastomo, Arih Dwi Purnama, Intan Puspita Salfasari Putri, Novita Yulia Rahman, Sarli Ramadani, Yulita Remy, Adrian Rezenebe Ngameyga Udab Ricky Wijaya Rizaldi Putra Rizaldi Putra Rizki, Ludhang Pradipta Robert David Sabrina Sabnah Sari, Yunia Setyowati, Reny Sevendy, Tandy Siregar, Helly Aroza Siti Ngatikoh Sofyanto, Sofyanto Sri Susilawati Sucahyanto Suci Fitria Sari Sudarno Sudarno Sudarno Sugiyarti, Listya Suharti Suharti Suharti Sun, Lee Ho Suranto, Agung Surya Safari SD Sutandijo, Sutandijo Suyono Suyono SUYONO Suyono Suyono Tandy Sevendy Tandy Sevendy Teddy Chandra Tri Wijayanti, Firdha Umar Faruq Veronica, Kristy Wahid, Nabila Wati, Yenny Widi, Rahma Wijaya, Boyke Wilda Susanti Wiliani, Novi Wulandari, Felia Resha Yolanda Pitra Kusumadewi Yunia Sari Yusnidar Yusnidar