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Mapping the Financial Technology Industry in Indonesia Renaldo, Nicholas; Junaedi, Achmad Tavip; Musa, Sulaiman; Wahid, Nabila; Cecilia, Cecilia
Journal of Applied Business and Technology Vol. 5 No. 1 (2024): 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.v5i1.162

Abstract

This study aims to deepen the fintech landscape in Indonesia with focus on types of fintech, companies popular, and the role of fintech market aggregators. With internet penetration reached 67%, Indonesia became lush backdrop for fintech innovation, supported by regulation and proactive government to support the growth sector This. Methodology study combine study literature, studies cases, interviews with holder interests, research field, analysis statistics, SWOT analysis, surveys users, and analysis continuity. The literature review provides a base for understanding global fintech trends, interim studies case detail development leading fintech companies like My Capital, Friends Money, and Kredivo. Research result covers identification four main types of fintech in Indonesia: P2P Lending and Crowdfunding, Management Risk Investment, Payment-Clearing-Settlement, and Market Aggregator. Fintech market aggregators such as Cekaja.com, Cermati.com, and DuitPintar.com play role important in give information and comparison product finance to consumer. With results study This is expected can give understanding deep about the evolution of fintech in Indonesia, as well give base for policy public, developers business, and internal investors optimizing growth and inclusion finance in the digital era.
Smart Processing Machines and Business Efficiency in Goat Milk Agro-Enterprises Junaedi, Achmad Tavip; Panjaitan, Harry Patuan; Renaldo, Nicholas; Nyoto, Nyoto; Jahrizal, Jahrizal; Dalil, M; Koto, Jaswar; Musa, Sulaiman; Wahid, Nabila; Veronica, Kristy; Faruq, Umar
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 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.
Design and Evaluation of a Mudharabah-Based Dairy Goat Investment Model Renaldo, Nicholas; Junaedi, Achmad Tavip; Suhardjo, Suhardjo; Tanjung, Amries Rusli; Indrastuti, Sri; Faruq, Umar; Musa, Sulaiman; Wahid, Nabila
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.
Educational Strategies for Fortified Goat Milk Development Supported by Digital Financial Ecosystems Hutahuruk, Marice Br; Junaedi, Achmad Tavip; Renaldo, Nicholas; Prayetno, Muhammad Pringgo; Prihastomo, Arih Dwi; Andi, Andi; Putri, Novita Yulia; Fransisca, Luciana; Faruq, Umar; Musa, Sulaiman
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.
Analysis of Capital Structure, Liquidity and Firm Size on Financial Performance and Firm Value in Technological Sector Wijaya, Evelyn; Wijaya, Fuma; Chandra, Stefani; Musa, Sulaiman
Research in Accounting Journal (RAJ) Vol. 6 No. 2 (2025): RAJ (Research in Accounting Journal)
Publisher : Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/raj.v6i2.10526

Abstract

Indonesia’s technology industry is experiencing strong growth prospects, supported by solid fundamentals and the rapid expansion of fintech infrastructure. The digital economy’s Gross Merchandise Value (GMV) is projected to grow at a compound annual growth rate (CAGR) of 14% during 2024–2030, driven by continuous innovation in e-commerce, increasing digital adoption through QRIS, and the strengthening of technology-based financial ecosystems. This study aims to examine the effect of capital structure, liquidity, and firm size on financial performance and firm value in the technology sector. The research employs secondary data collected through a purposive sampling technique, resulting in a sample of 15 companies. Data were analyzed using descriptive statistics and structural equation modeling (SEM) with SmartPLS. The results indicate that (1) capital structure, liquidity, and firm size have a negative and insignificant effect on financial performance, and (2) capital structure, liquidity, firm size, and financial performance have a positive but insignificant effect on firm value. These findings suggest that internal financial characteristics have not yet demonstrated a statistically significant role in determining financial performance and firm value within Indonesia’s technology sector.