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All Journal Journal of Applied Business and Technology Reflection: Education and Pedagogical Insights Luxury: Landscape of Business Administration
Sulaiman Musa
Bayero University, Nigeria
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Social Sciences Other

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AI-Based Digital Twin Development for Optimizing Hydrogen Production, Distribution, and Business Profitability Nicholas Renaldo; Jaswar Koto; M. Dalil; Dodi Sofyan Arief; Sulaiman Musa; Nindy Daviny; Cecilia Cecilia; Kristy Veronica
Journal of Applied Business and Technology Vol. 7 No. 1 (2026): Jounal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/s04p2v22

Abstract

The transition toward a low-carbon energy system has increased interest in green hydrogen as an energy carrier for renewable energy integration, industrial applications, and sustainable transportation. However, the economic competitiveness of hydrogen remains constrained by the complexity of coordinating renewable-energy availability, electrolyzer operation, hydrogen storage, distribution, market demand, and profitability. This study proposes an AI-Based Hydrogen Business Digital Twin (HBDT) to optimize hydrogen production, distribution, and business profitability through an integrated digital decision-making framework. The research employs a simulation-based development approach that combines Digital Twin technology, Artificial Intelligence, predictive analytics, multi-objective optimization, and techno-economic analysis. Several machine-learning models, including Random Forest, Support Vector Regression, XGBoost, Artificial Neural Network, and Long Short-Term Memory (LSTM), are evaluated for predictive performance. The simulation results indicate that LSTM provides the strongest performance, achieving an MAE of 0.041, RMSE of 0.068, and R2 of 0.981. Scenario analysis demonstrates that profitability increases from 12.5% under fixed production and distribution to 32.4% under the integrated AI, Digital Twin, and optimization scenario. The techno-economic simulation further indicates reductions in hydrogen production cost, levelized cost of hydrogen, and distribution costs, accompanied by improvements in renewable-energy utilization, revenue, ROI, and payback period. These findings demonstrate that the proposed HBDT can transform hydrogen management from a static and reactive process into a predictive, prescriptive, and potentially autonomous business ecosystem. The study contributes to the emerging concept of Hydrogen Business 4.0, in which technical operations and economic decisions are continuously optimized through AI and Digital Twin technologies.
Digital Transformation of Goat Milk Supply Chains through an Integrated Smart Cold-Chain Logistics System Nyoto Nyoto; Nicholas Renaldo; Jahrizal Jahrizal; Azridjal Aziz; M. Dalil; Achmad Tavip Junaedi; Yusrizal Yusrizal; Alyauma Hajjah; Sulaiman Musa; Cecilia Cecilia
Journal of Applied Business and Technology Vol. 7 No. 2 (2026): Jounal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/re8a7652

Abstract

The rapid digital transformation of agribusiness has created significant opportunities to improve supply chain efficiency, product quality, and operational sustainability through the integration of smart technologies. However, goat milk supply chains continue to face challenges associated with short product shelf life, inadequate cold-chain infrastructure, limited distribution visibility, and high logistics costs, particularly among small and medium-sized enterprises (SMEs). This study aims to develop and evaluate an Integrated Smart Cold-Chain Goat Milk Logistics System (SCGLMS) as a digital transformation model for goat milk supply chains. A Design Science Research (DSR) methodology was employed, consisting of problem identification, system design, prototype development, pilot implementation, and system evaluation. The proposed SCGLMS integrates four interconnected layers: smart milk processing, intelligent packaging, IoT-enabled cold-chain logistics, and a cloud-based digital management platform that provides real-time monitoring, digital traceability, and logistics analytics. The findings demonstrate that the integrated system significantly improves supply chain visibility, operational coordination, and decision-making by enabling continuous monitoring of temperature, humidity, shipment status, and product quality throughout distribution. The system also enhances logistics efficiency, minimizes product spoilage, extends market accessibility, and strengthens customer confidence through improved transparency and traceability. This study contributes to the literature on digital supply chain management by proposing a comprehensive technological framework specifically designed for goat milk logistics. Furthermore, it provides practical guidance for SMEs, agribusiness practitioners, and policymakers seeking to accelerate digital transformation and sustainable supply chain development within the dairy industry.
From Waste to Assets through Value Creation Strategies in Goat Farming Nicholas Renaldo; Achmad Tavip Junaedi; Wilda Susanti; Jahrizal Jahrizal; M. Dalil; Kristy Veronica; Marice Br Hutahuruk; Sulaiman Musa; Jaswar Koto; Cecilia Cecilia
Luxury: Landscape of Business Administration Vol. 4 No. 2 (2026): Luxury: Landscape of Business Administration
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/luxury.v4i2.159

Abstract

This study examines the transformation of livestock waste into economic and environmental value through innovation in goat farming. The study applies a qualitative case study approach using observation, interviews, and documentation of a Smart Composting System. The system utilizes leftover fermented corn-stalk and leaf silage, goat manure, horse manure, EM4, and brown sugar, supported by Internet of Things (IoT)-based monitoring of temperature, moisture, and NPK. The findings indicate that the innovation enables organic waste to be transformed into compost while generating operational data that can support more effective management decisions. The integration of environmental accounting further enables the identification of processing costs, potential economic value, and environmental benefits. The study demonstrates that waste management can be repositioned from a cost-oriented activity into a value creation strategy through the integration of resource recovery, digital technology, and environmental-economic measurement. The proposed approach provides a practical foundation for developing circular and sustainable business practices in goat farming.
The Unpredictable Crater of Mount Bromo and Its Implications for Environmental Change and Educational Transformation Nicholas Renaldo; Achmad Tavip Junaedi; Wilda Susanti; Sulaiman Musa; Muhammad Pringgo Prayetno; Arih Dwi Prihastomo; Luciana Fransisca; Andi Andi; Novita Yulia Putri; Nindy Daviny
Reflection: Education and Pedagogical Insights Vol. 4 No. 2 (2026): Reflection: Education and Pedagogical Insights
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/reflection.v4i2.165

Abstract

This study examines the volcanic activity of Mount Bromo and its implications for environmental change and educational transformation. Using a qualitative descriptive design and a case study approach, the study analyzes secondary information from volcanic monitoring reports, scientific publications, environmental literature, and tourism-related sources. The analysis focuses on three interconnected dimensions: volcanic activity, environmental implications, and educational development. The findings indicate that Mount Bromo represents a dynamic geological environment in which changes in volcanic emissions, eruptive behavior, and monitoring observations require continuous scientific interpretation. Volcanic activity may influence air quality, ash deposition, ecosystems, tourism activities, and community interaction with the volcanic landscape. However, the available secondary data do not establish the magnitude or direct causal relationship of specific environmental changes. From an educational perspective, Mount Bromo offers an important contextual learning environment for integrating earth science, environmental education, disaster risk reduction, and sustainability. Volcanic monitoring data and historical eruption records can be used to strengthen scientific literacy, critical thinking, environmental awareness, and disaster preparedness. The study concludes that Mount Bromo should be understood not only as a tourism destination and geological phenomenon but also as a potential educational resource for transformative learning and community resilience. Further research is needed to combine environmental measurements with empirical assessments of educational outcomes.
Developing Future Biomedical Innovators Through Challenge-Based Learning Using Breast Milk-Derived Bioactive Peptides in Cancer Research Education Nicholas Renaldo; Achmad Tavip Junaedi; Nyoto Nyoto; Suhardjo Suhardjo; Amries Rusli Tanjung; Gusrio Tendra; Jahrizal Jahrizal; M. Dalil; Jaswar Koto; Sulaiman Musa
Reflection: Education and Pedagogical Insights Vol. 4 No. 3 (2026): Reflection: Education and Pedagogical Insights
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/reflection.v4i3.168

Abstract

The integration of emerging biomedical research into higher education offers opportunities to develop scientific reasoning, biotechnology literacy, and innovation-oriented competencies. This study explores the potential of Challenge-Based Learning (CBL) through breast-milk-derived bioactive peptides and cancer research as an authentic context for biotechnology education. A qualitative descriptive research design is employed, involving students from biotechnology, biology, biomedical science, or related higher education programs. Data are collected through students’ written reflections, group discussions, and proposed solutions developed during structured learning activities. The data are analyzed thematically to examine three dimensions: biotechnology literacy and understanding of scientific evidence, scientific reasoning and critical thinking, and biomedical innovation and responsible problem-solving. The study positions breast-milk-derived bioactive compounds as a context for examining molecular biology, evaluating experimental and clinical evidence, and understanding the translation of scientific discoveries into potential therapeutic applications. Rather than treating emerging biomedical research as established clinical practice, the learning framework emphasizes scientific accuracy, recognition of uncertainty, and ethical responsibility. This study is expected to contribute to biotechnology education by providing insights into the use of authentic biomedical challenges to support interdisciplinary learning and responsible innovation. The findings may inform the design of educational activities that connect scientific knowledge with contemporary biomedical research without requiring specialized laboratory facilities.
Co-Authors Achmad Tavip Junaedi Alyauma Hajjah Amries Rusli Tanjung Andi Andi Arih Dwi Prihastomo Azridjal Aziz Cecilia Cecilia Dodi Sofyan Arief Gusrio Tendra Jahrizal Jaswar Koto Kristy Veronica Luciana Fransisca M Dalil Marice Br Hutahuruk Muhammad Pringgo Prayetno Nicholas Renaldo Nindy Daviny Nindy Daviny Novita Yulia Putri Nyoto Suhardjo Wilda Susanti Yusrizal Yusrizal