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All Journal Journal of Applied Business and Technology Reflection: Education and Pedagogical Insights Luxury: Landscape of Business Administration
Sulaiman Musa
Kano State Polytechnic, 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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Precision Multi-Forage Nutrition as a Driver of Sustainable Goat Agribusiness Performance Nicholas Renaldo; Jahrizal Jahrizal; Achmad Tavip Junaedi; Suhardjo Suhardjo; Onny Setyawan; Sulaiman Musa; Cecilia Cecilia
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/s2a28145

Abstract

Feed cost remains the largest expenditure in goat farming enterprises and significantly influences profitability, competitiveness, and long-term sustainability. Despite advances in precision livestock farming, limited studies have examined precision nutrition from an agribusiness perspective, particularly in tropical goat production systems. This study aims to analyze the role of Precision Multi-Forage Nutrition (PMFN) as a driver of sustainable goat agribusiness performance through the strategic integration of seven functional forage crops: Bonanza maize (Zea mays), Sweet Lady maize (Zea mays), Indigofera zollingeriana, Anaphalis javanica, Medicago sativa, Pakchong grass (Pennisetum purpureum × Pennisetum americanum), and Odot grass (Pennisetum purpureum cv. Mott). Using a descriptive case study approach combined with techno-economic and agribusiness feasibility analyses, the study evaluates the nutritional, operational, and economic contributions of diversified forage resources within integrated goat farming systems. The findings indicate that the PMFN framework enhances feed security, improves resource utilization efficiency, reduces dependence on external feed markets, and strengthens business resilience. The integration of seven complementary forage species creates a balanced nutritional ecosystem that supports productivity while simultaneously optimizing feed costs and improving profitability. Guided by the Resource-Based View (RBV), the study demonstrates that diversified forage resources can function as valuable, rare, inimitable, and non-substitutable strategic assets that contribute to sustainable competitive advantage. Furthermore, the study introduces the concept of Forage-Based Competitive Advantage (FBCA), which positions forage diversity and precision nutrition as strategic drivers of agribusiness performance rather than merely production inputs. The results suggest that Precision Multi-Forage Nutrition represents a transformative agribusiness innovation capable of enhancing economic sustainability, operational resilience, and long-term competitiveness in goat farming enterprises. These findings provide theoretical contributions to agribusiness strategy literature and practical implications for farmers, investors, and policymakers seeking sustainable livestock development models.
Designing Startup Application “LaKu” for MSME in Riau Based on Android Yulvia Nora Marlim; William William; Wilda Susanti; Fadrul Fadrul; Nicholas Renaldo; Sulaiman Musa; Nabila Wahid
Journal of Applied Business and Technology Vol. 6 No. 2 (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.v6i2.228

Abstract

Department of Industry, Trade, Cooperatives and SMEs (DITCS) of Riau has an important role in supporting 631,347 groups of Micro, Small and Medium Enterprises (MSMEs) engaged in various fields such as handicrafts, batik, songket, and food and beverages. Many MSME merchants still market their products traditionally through the neighborhood and word of mouth, while online marketing faces a big challenge because they have to compete with well-known brands, making them difficult to develop and grow their business. To overcome these problems, an Android-based application “LaKu” was developed that aims to help MSME merchants in expanding their marketing reach and increasing their competitiveness in Riau. The development of this application uses the Extreme Programming (XP) method which consists of four main steps: Planning, Design, Code, and Testing. The development results show that the “LaKu” application can be an effective digital marketing platform, helping MSMEs in promoting products more widely without having to compete directly with big brands. With this application, MSMEs are able to increase competitiveness and contribute to local economic growth in Riau Province.
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.
Smart Processing Machines and Business Efficiency in Goat Milk Agro-Enterprises Achmad Tavip Junaedi; Harry Patuan Panjaitan; Nicholas Renaldo; Nyoto Nyoto; Jahrizal Jahrizal; M Dalil; Jaswar Koto; Sulaiman Musa; Nabila Wahid; Kristy Veronica; Umar Faruq
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 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.
Educational Strategies for Fortified Goat Milk Development Supported by Digital Financial Ecosystems Marice Br Hutahuruk; Achmad Tavip Junaedi; Nicholas Renaldo; Muhammad Pringgo Prayetno; Arih Dwi Prihastomo; Andi Andi; Novita Yulia Putri; Luciana Fransisca; Umar Faruq; Sulaiman Musa
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.v3i1.143

Abstract

The development of fortified goat milk offers a promising approach to addressing nutritional deficiencies while creating value-added opportunities in the dairy sector, particularly in rural and peri-urban communities. Despite its potential, many fortified goats milk initiatives remain small-scale due to limited entrepreneurial capacity, weak market integration, and low adoption of digital financial systems. This study aims to examine educational strategies that integrate fortified goat milk development with digital financial ecosystems to enhance enterprise sustainability and scalability. Using a mixed-methods approach, the study combines qualitative interviews and focus group discussions with quantitative survey analysis involving educators, students, dairy producers, and digital finance practitioners. The findings reveal that conventional education emphasizes technical production skills while neglecting financial literacy and digital finance competencies. Integrated educational strategies significantly improve digital banking adoption, financial management practices, and access to microfinancing, which in turn mediate improvements in business performance. The study contributes a novel interdisciplinary framework that links nutrition innovation education with digital finance literacy, offering practical insights for educators, policymakers, and development agencies seeking to strengthen fortified dairy value chains and promote inclusive, digitally enabled agro-entrepreneurship.
Co-Authors Achmad Tavip Junaedi Amries Rusli Tanjung Andi Andi Arih Dwi Prihastomo Cecilia Cecilia Fadrul Fadrul Harry Patuan Panjaitan Jahrizal Jaswar Koto Kristy Veronica Luciana Fransisca M. Dalil Marice Br Hutahuruk Muhammad Pringgo Prayetno Nabila Wahid Nabila Wahid Nicholas Renaldo Novita Yulia Putri Nyoto Onny Setyawan Sri Indrastuti Suhardjo Suhardjo Umar Faruq Wilda Susanti William William Yulvia Nora Marlim