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All Journal Kurs : Jurnal Akuntansi, Kewirausahaan dan Bisnis Bilancia : Jurnal Ilmiah Akuntansi 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
Hutahuruk, Marice Br
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Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Social Sciences Other

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Journal : Luxury: Landscape of Business Administration

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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.
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 Alkhairi, M. Habib Amries Rusli Tanjung Andi Andi Angelina, Dian Aprilia, Bord Nandre Cecilia, Cecilia Fitri Yani Fransisca, Luciana Hairudin, Hairudin Handoyo, Leonardus Teguh Haristan, Meiviana Harrison, Edward Harry Patuan Panjaitan Indri Yovita Jahrizal Koto, Jaswar Muhammad Ridwan Musa, Sulaiman Nicholas Renaldo Nicholas, Eric Nyoto Nyoto Nyoto, Nyoto Prayetno, Muhammad Pringgo Prihastomo, Arih Dwi Priyono Priyono Putri, Novita Yulia Raden Mohamad Herdian Bhakti Sofyanto, Sofyanto Sriadmitum, Ike Sudarno Sudarno Sudarno Suhardjo Suhardjo Suhardjo Suharti Surya Safari SD Suyono Suyono Taylor, John Alexander Umar Faruq Valencia, Erica Veronica, Kristy Wahid, Nabila Wati, Yenny Widi, Rahma Yusrizal Yusrizal