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All Journal Journal of Applied Business and Technology Reflection: Education and Pedagogical Insights Luxury: Landscape of Business Administration
Amries Rusli Tanjung
Institut Bisnis dan Teknologi Pelita Indonesia, Indonesia
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Social Sciences Other

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Design and Evaluation of a Mudharabah-Based Dairy Goat Investment Model Nicholas Renaldo; Achmad Tavip Junaedi; Suhardjo Suhardjo; Amries Rusli Tanjung; Sri Indrastuti; Umar Faruq; Sulaiman Musa; Nabila Wahid
Journal of Applied Business and Technology Vol. 6 No. 3 (2025): Journal 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/jabt.v6i3.302

Abstract

The livestock sector plays a strategic role in strengthening food security, rural income generation, and sustainable agribusiness development in emerging economies. However, access to capital remains a critical constraint for small-scale livestock farmers, particularly under conventional interest-based financing systems that impose rigid repayment obligations amid biological and market uncertainties. This study aims to design and evaluate a mudharabah-based dairy goat investment model by integrating Islamic contract principles with livestock production economics. Using a quantitative financial feasibility modeling approach, the study simulates a one-year partnership contract incorporating milk revenue sharing, offspring profit allocation, biological production cycles, risk mitigation mechanisms, and monthly return distribution. Financial performance is assessed using Return on Investment (ROI), Net Present Value (NPV), and Payback Period, complemented by sensitivity analysis under optimistic, moderate, and pessimistic scenarios. The results indicate that the dual-revenue mudharabah model generates positive returns, maintains financial feasibility under moderate production variability, and enhances liquidity through periodic income distribution. From a theoretical perspective, the study extends Agency Theory by demonstrating that profit-sharing mechanisms improve incentive alignment and reduce agency costs, while operationalizing Islamic Contract Theory into a measurable agribusiness investment framework. The findings suggest that mudharabah-based livestock investment offers an economically viable, sharia-compliant, and socially inclusive financing alternative for sustainable rural development.
Big Data Analytics for Demand Forecasting in the Mushroom Supply Chain Nicholas Renaldo; Kristy Veronica; Achmad Tavip Junaedi; Suhardjo Suhardjo; Amries Rusli Tanjung; Sri Indrastuti; Wilda Susanti; Jaswar Koto; Sulaiman Musa; Nabila Wahid
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.
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 Gusrio Tendra Indrastuti, Sri Jahrizal Jaswar Koto Kristy Veronica M Dalil Nabila Wahid Nabila Wahid Nicholas Renaldo Nyoto Suhardjo Sulaiman Musa Sulaiman Musa Umar Faruq Wilda Susanti