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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Edukasi: Jurnal Pendidikan INVOTEK: Jurnal Inovasi Vokasional dan Teknologi IJIE (Indonesian Journal of Informatics Education) Seminar Nasional Teknologi Informasi Komunikasi dan Industri Dinamisia: Jurnal Pengabdian Kepada Masyarakat GERVASI: Jurnal Pengabdian kepada Masyarakat JOISIE (Journal Of Information Systems And Informatics Engineering) EDUMATIC: Jurnal Pendidikan Informatika Seminar Nasional Teknologi Informasi Komunikasi dan Administrasi [SEMINASTIKA] 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 The Indonesian Journal of Computer Science INOVTEK Polbeng - Seri Informatika
Wilda Susanti
Unknown Affiliation
Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Transportation Other

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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.
Learning Smart Farming through IoT Prototypes, Educational Impacts of Smart Goat Housing Systems in Vocational Education Junaedi, Achmad Tavip; Renaldo, Nicholas; Susanti, Wilda; Yuliendi, Rangga Rahmadian; Kurniawan, Wahyu Joni; Marlim, Yulvia Nora; Veronica, Kristy; Panjaitan, Harry Patuan; Faruq, Umar; Jahrizal, Jahrizal
Reflection: Education and Pedagogical Insights Vol. 3 No. 1 (2026): Reflection: Education and Pedagogical Insights
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/reflection.v3i1.141

Abstract

This study investigates the educational impacts of learning smart farming through Internet of Things (IoT)-based smart goat housing systems in vocational education. The rapid digital transformation of agriculture has created a growing demand for graduates with strong technological and applied competencies; however, the integration of real smart farming technologies into vocational curricula remains limited. To address this gap, this research employed a quasi-experimental design with a pretest–posttest non-equivalent control group to compare IoT prototype-based learning with conventional instructional approaches. The study involved vocational students enrolled in agriculture-related programs, where the experimental group engaged in project-based learning using an operational IoT-enabled smart goat housing system, while the control group received traditional instruction. The findings indicate that students exposed to IoT prototype-based learning demonstrated significantly higher improvements in digital competence, applied learning outcomes, and learning engagement compared to those in the control group. Qualitative insights further revealed that authentic interaction with real-time data and automated systems enhanced students’ understanding, motivation, and confidence in using digital technologies. These results highlight the pedagogical value of integrating real IoT prototypes into vocational education and confirm the effectiveness of experiential and technology-enhanced learning approaches in developing workforce-relevant competencies. This study contributes to vocational education literature by positioning livestock-based smart farming systems as effective learning media for digital agriculture education.
Developing Social Accounting Competencies through IoT-Based Goat Farming Learning Systems Suhardjo, Suhardjo; Renaldo, Nicholas; Junaedi, Achmad Tavip; Veronica, Kristy; Panjaitan, Harry Patuan; Setyawan, Onny; Susanti, Wilda; Widi, Rahma; Faruq, Umar; Jahrizal, Jahrizal
Reflection: Education and Pedagogical Insights Vol. 3 No. 1 (2026): Reflection: Education and Pedagogical Insights
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/reflection.v3i1.142

Abstract

The digital transformation of agriculture has created new opportunities and challenges for accounting education, particularly in developing social accounting competencies related to sustainability and social responsibility. This study aims to examine the effect of an IoT-based goat farming learning system on the development of social accounting competencies in vocational and applied accounting education. Using a quantitative explanatory research design, this study integrates a technology-enhanced learning approach supported by real-time data generated from IoT-enabled goat farming systems. Data were collected from students participating in IoT-based learning activities and analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM). The results indicate that the IoT-based goat farming learning system has a positive and significant effect on social accounting competencies, including the ability to identify, measure, interpret, and report social and environmental impacts. The findings demonstrate that real-time livestock data provide an effective experiential learning environment that bridges the gap between abstract social accounting concepts and practical applications. This study contributes to accounting education literature by repositioning IoT-based livestock systems as pedagogical platforms rather than purely operational tools. The study also offers practical implications for educators, curriculum designers, and policymakers seeking to strengthen sustainability-oriented accounting education in digitally transformed agribusiness contexts.
Co-Authors Achmad Tavip Junaedi Adiya, M. Hasmil Alyauma Hajjah Ambiya Ambiya Ambiyar, Ambiyar Amries Rusli Tanjung Andi Andi Arden Simeru Cecilia, Cecilia Dalil, M Dalil, M. Darmanta Sukrianto Daulay, Suandi David David Deny Jollyta Desnelita, Yenny Dewi Nasien Dochi Ramadhani Dodi Sofyan Arief, Dodi Sofyan Dwi Oktarina Dwi Oktarina Erlin Fadrul Fadrul Fadrul, Fadrul Fauzan Azim Gusrianty Gusrianty Gusrio Tendra Gustientiedina Harry Patuan Panjaitan Hendra Ibaraki Herman Herman Ida Ayu Putu Sri Widnyani Indrastuti, Sri Irwan Irwan Jahrizal Jean Riko Kurniawan Putra Johan Johan Johan Johan Koto, Jaswar Leonardo Yang Marlim, Yulvia Nora Monang Adi Candra Musa, Sulaiman Nicholas Renaldo Nizwardi Jalinus Onny Setyawan Purnama, Intan Rahman, Sarli Ramadhani Ramadhani Ramalia Noratama Putri Ramdani Ramdani Rangga Rahmadian Yuliendi Rangga Rahmadian Yuliendi Rangga Rahmadian Yuliendi Rinaldy Rinaldy Rivaldo Famren Silaen Ronny Addenan Rudi Mulya Simeru, Arden ST, M.A.B, Okto Fenta Riandi Suhardjo Suhardjo Suhardjo Sunarti , ST, M. Kom Teddy Chandra Torkis Nasution Umar Faruq Unung Verawardina, Unung Veronica, Kristy Wahid, Nabila Wahyu Joni Kurniawan, Wahyu Joni Wakhinuddin Wakhinuddin Wakhinuddin Wakhinuddin, Wakhinuddin Widi, Rahma William William William, Peter Yandri Armi Yermias Duha Yuliendi, Rangga Rahmadian Yuliendi, Rangga Ramadian