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All Journal JAM : Jurnal Aplikasi Manajemen Jurnal Pengabdian UntukMu NegeRI Asia-Pacific Management and Business Application International Journal of Social Science and Business International Journal of Supply Chain Management JIA (Jurnal Ilmiah Akuntansi) Procuratio : Jurnal Ilmiah Manajemen Kurs : Jurnal Akuntansi, Kewirausahaan dan Bisnis Bilancia : Jurnal Ilmiah Akuntansi Jurnal Proaksi Jurnal Pengabdian Masyarakat Multidisiplin 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 JUDIKAT: Jurnal Pengabdian Kepada Masyarakat
Achmad Tavip Junaedi
Institut Bisnis Dan Teknologi Pelita Indonesia
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Journal : Luxury: Landscape of Business Administration

 1 
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.
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.
Creating Business Value through IoT-Based Waste Management Web Dashboard Susanti, Wilda; Renaldo, Nicholas; Junaedi, Achmad Tavip; Mukhsin, Mukhsin; Johan, Johan; Marlim, Yulvia Nora; Tendra, Gusrio; Kurniawan, Wahyu Joni; Azim, Fauzan
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.v4i1.139

Abstract

The rapid growth of urbanization and industrial activities has increased the complexity of waste management operations within business organizations, leading to rising costs and managerial challenges. While the Internet of Things (IoT) has enabled real-time data collection in waste management, business value creation depends on how such data are integrated into managerial information systems. This study aims to develop and evaluate an IoT-based waste management web dashboard that supports operational monitoring and managerial decision-making to create business value. Using a Design Science Research (DSR) methodology, this study designs an integrated system that collects real-time waste volume data through IoT-enabled sensors and presents the information via a centralized web dashboard. The system is evaluated using a mixed approach combining operational performance indicators and user perceptions based on Information Systems Success Theory. The results indicate improvements in operational efficiency, resource allocation, and decision-making quality following system implementation. The findings demonstrate that the proposed web dashboard functions as a strategic managerial information system rather than a purely technical solution. By enhancing information quality and managerial control, the system contributes to business value creation through improved operational performance and supports digital transformation and sustainability-oriented business practices. This study contributes to the business and management literature by shifting the focus of IoT-based waste management research from technical performance to managerial relevance and value creation.
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 Agus Hocky Ahmad Rafa'i Aminuyati Amries Rusli Tanjung Amries Rusli Tanjung Andi Andi Andi Andi Anton Anton Anton Anton Aprilia, Bord Nandre Asmara Hendra Komara Astri Ayu Purwati Astri Ayu Purwati Astuti Dara Anjeli Augustine, Yvonne Aulia Ramadhani Bakhroini Benny Napitupulu Cecilia Cecilia, Cecilia Chandra, Stefani Dadi Komardi Dalil, M Dalil, M. Darmasari, Ria David David Davin, Michael Elian Dhea Anggelina Djumilah Hadiwijoyo Dodi Sofyan Arief, Dodi Sofyan Eddy, Pujiono Eka Afnan Troena Elvina, Vivi Emiliana Shania Meta Nahak Evelyn Wijaya evelyn wijaya Evita Anugrah S Fadrul Fadrul Fadrul Fadrul Fadrul, Fadrul Fauzan Azim Fazal Mohamed Mohamed Sultan Fifi Puspita Fitri Yani Fransisca, Luciana Fransiska Fransiska Geovanie, Geovanie Gusrio Tendra Habibi Hairudin Hairudin Haristan, Meiviana Harry Patuan Panjaitan Helen Helen Herma Safitri Hocky, Agus Horsiando, Eric Hutahuruk, Marice Br Ida Ayu Putu Sri Widnyani Indrastuti, Sri Indri Yovita Iwan Triyuwono Jahrizal Jennifer Chandra Jenny Angelica Jessen, Jessen Johan Johan Johan Johan Juniar Vina Komardi, Dadi Koto, Jaswar Kristy Veronica Kuswoyo Kuswoyo Layla Hafni Lindawati Sirait Luciana Fransisca Manullang, Megawati Marice Br Hutahuruk Marlim, Yulvia Nora Martha Ng Maydelyn Goh Mazzlida Mat Deli Megawati Pakpahan Mimelientesa Irman Monalisa Monalisa Muhammad Adrian Agusta Muhrodin, Muhrodin Mujtaba M. Momin Mujtaba M. Momin Mukhsin Mukhsin Musa, Sulaiman Nabila Hestia Napitupulu, Ryan Pardomuan Ngatno Nicholas Renaldo Nicholas, Eric Novita Yulia Putri Nuriman M. Nur Nyoto Nyoto Nyoto, Nyoto Nyoto, Rebecca La Volla Octafilia, Yusnita Octavellyn, Shierly Oka Atika Okalesa Okalesa Okalesa, Okalesa Olivia Dimaranty Onny Setyawan Onny Setywan Pamuji Hari Santoso Panggabean, Jessylane Prayetno, Muhammad Pringgo Prihastomo, Arih Dwi Priyono Priyono Purba, Jansaris Othniel Purnama, Intan Purwati, Astri Ayu Putri, Novita Yulia Rahman, Sarli Ramadani, Yulita Ramadhani Ramadhani Ramdani Ramdani Ricky Wijaya Rizaldi Putra Sabrina Sabnah Santhomas Pinso Santoso, Pamuji Hari Sarli Rahman Sarli Rahman Setiawan, Yayat Sevendy, Tandy Sofyanto, Sofyanto Stefani Chandra Sudarno Sudarno Sudarno Sudarno Sudarno Sugiyarti, Listya Suhardjo Suhardjo Suhardjo Suhardjo Suhardjo Suharti Suharti Suharti Suranto, Agung Surya Safari SD Sutandijo, Sutandijo Suyono Suyono Suyono Teddy Chandra Umar Faruq Veronica, Kristy Vivi Wulansari Wahid, Nabila Wahyu Joni Kurniawan, Wahyu Joni Wahyudi, Langgeng Wati, Yenny Wiariningsih, Oktaviani Widi, Rahma Wijaya, Boyke Wijaya, Evelyn Wijaya, Febriana Wendy Wilda Susanti Yarmanelis Yenni, Elfita Yenny Wati Yuliana Yuliana Yuliendi, Rangga Rahmadian Yusnidar Yusnidar Yusnidar Yusnidar Yusnita Octafilia Theresia A Yesu Infante Yusrizal Yusrizal Zainol Mustafa