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Analisis SWOT Potensi Desa dan BUMDes Kedarpan Joval Ifghaniyafi Farras; Raden Rifqi Dwi Santo
Jurnal Pustaka Cendekia Hukum dan Ilmu Sosial Vol. 2 No. 1 (2024): February - May 2024
Publisher : PT PUSTAKA CENDEKIA GROUP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70292/pchukumsosial.v2i1.33

Abstract

SWOT analysis (Strengths, Weaknesses, Opportunities, and Threats) is a critical strategic planning tool for evaluating the potential of villages and Village-Owned Enterprises (BUMDes) in Indonesia. BUMDes is a government initiative in empowering the economy of village communities, utilizing local resources to encourage rural entrepreneurship. This article highlights the results of a SWOT analysis of BUMDes in Kedarpan Village, showing that development prospects have not been optimal in various time periods. SWOT is used to formulate BUMDes management strategies, accelerate development, and improve performance during the COVID-19 pandemic. Kedarpan Village has agricultural and MSME potential which includes superior products such as white pepper and snacks made from cassava. BUMDes, such as Village Internet and chicken farms, play an important role in managing natural resources and empowering communities. This article concludes the need for BUMDes management training and further activities from the village government in building communication networks with external parties. Recommendations involve developing human resource competencies, marketing management, and collaboration with other parties to support sustainable management of Kedarpan Village and BUMDes.
ANALISIS KANVAS MODEL BISNIS THRIFT TOKO LEO COLLECTION DI PASAR CIMOL GEDEBAGE, BANDUNG JAWA BARAT Irsyad Kamal; Cattleya Rejito; Adhadian Akbar; Joval Ifghaniyafi Farras; Latifa Mischa Saqina
Jurnal Intelek Dan Cendikiawan Nusantara Vol. 1 No. 3 (2024): JUNI - JULI 2024
Publisher : PT. Intelek Cendikiawan Nusantara

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Abstract

Perkembangan tren fashion saat ini sangat pesat, dan banyak orang mencari model fashion mereka sendiri melalui thrifting, yaitu kegiatan berbelanja barang bekas seperti pakaian, sepatu, dan produk lainnya. Penelitian ini bertujuan untuk menganalisis model bisnis toko thrift Leo Collection di Pasar Cimol Gedebage, Bandung, Jawa Barat, dengan menggunakan Kanvas Model Bisnis. Thrifting dipilih sebagai fokus karena dianggap lebih ekonomis dan ramah lingkungan dibandingkan dengan fast fashion. Fast fashion sering kali menawarkan produk dengan harga tinggi namun kualitas rendah, sedangkan barang thrift berkualitas baik bisa didapatkan dengan harga yang lebih terjangkau.Leo Collection memperoleh pakaian bekas dalam jumlah besar yang berisi sekitar 100 potong pakaian, seperti rok, jas, dan pakaian kantor yang kasual namun bergaya vintage. Selain itu, toko ini juga menyediakan berbagai aksesoris seperti syal. Dengan menjualnya kembali, mereka dapat menghasilkan potensi pendapatan yang signifikan.Analisis ini diharapkan dapat memberikan wawasan bagi pengusaha thrift dan masyarakat umum mengenai potensi bisnis thrift sebagai alternatif yang lebih baik dan berkelanjutan dibandingkan fast fashion.
Peran Baznas Kota Padang Panjang Terhadap Pengurangan Peminjaman Pedagang Kepada Rentenir Cupian Cupian; Mardiyah Hanif; Joval Ifghaniyafi Farras
Jurnal Ilmiah Ekonomi Islam Vol. 9 No. 2 (2023): JIEI : Vol.9, No.2, 2023
Publisher : ITB AAS INDONESIA Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/jiei.v9i2.8189

Abstract

Many traders prefer to borrow from loan sharks rather than safer banking institutions for reasons of convenience and speed. The loan sharks apply high interest which includes riba. One of the efforts to avoid the practice of loan sharks is with productive zakat funds from BAZNAS as business funds. This research aims to to see the influence of the role of BAZNAS in Padang Panjang City including service quality, distribution of zakat, empowerment of mustahik and socialization - education on reducing merchant lending to loan sharks.This research uses a descriptive method with a quantitative approach. The sample is 70 respondents who are traders who receive BAZNAS zakat funds and have also borrowed from loan sharks. The analytical method used is binary logistic regression analysis. From the results of the logistic regression, it was found that the quality of service was significant in reducing the lending of traders to loan sharks, while the distribution of zakat, empowerment of mustahik and socialization - education were not significant in reducing the lending of traders to loan sharks
Risk and Resilience in the Halal Supply Chain: A Bibliometric Review of Themes, Technologies, and Governance Farras, Joval Ifghaniyafi; Kaltum, Umi
CBJIS: Cross-Border Journal of Islamic Studies Vol. 7 No. 2 (2025): Desember
Publisher : Fakultas Tarbiyah dan Ilmu Keguruan, IAI Sultan Muhammad Syafiuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37567/cbjis.v7i2.5055

Abstract

Ensuring halal integrity from source to shelf introduces distinctive risk exposures, including contamination, fraud, and certification gaps, and requires resilience capabilities that safeguard both religious compliance and operational continuity. This bibliometric review maps the intellectual structure of halal supply chain research on risk and resilience using science mapping outputs, including keyword co occurrence network, overlay, and density visualizations.Three major knowledge domains emerge. The first centers on technology enabled integrity, including blockchain, traceability systems, RFID, and smart contracts. The second focuses on assurance and governance, encompassing halal certification, Shariah compliance, institutional mechanisms, and trust formation. The third domain addresses logistics and operations, particularly halal logistics and food safety management. Overlay visualization reveals a temporal shift toward digitally mediated transparency, especially blockchain and artificial intelligence applications, alongside sustainability as more recent research priorities. Density mapping identifies “halal,” “blockchain,” “traceability,” “halal supply chain,” and “food safety” as enduring conceptual anchors within the field.
Ethics and Regulations in Data-Driven and AI-Based Marketing: A Systematic Literature Review (2014-2025) Joval Ifghaniyafi Farras
Jurnal Intelek Dan Cendikiawan Nusantara Vol. 3 No. 01 (2026): Februari - Maret 2026
Publisher : PT. Intelek Cendikiawan Nusantara

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Abstract

The rapid integration of artificial intelligence (AI) and data-driven technologies in marketing has transformed consumer engagement, enabling unprecedented levels of personalization and targeting. However, these advancements have raised critical ethical and regulatory concerns regarding consumer privacy, algorithmic bias, fairness in targeting, and compliance with evolving data protection frameworks. This systematic literature review examines 173 peer-reviewed publications from 2014 to 2025, focusing on three core areas: (1) consumer privacy and data protection, (2) algorithmic bias and fairness in targeting, and (3) regulatory frameworks including GDPR, CCPA, and emerging compliance mechanisms. Our analysis reveals four primary ethical tensions: the personalization-privacy paradox, algorithmic discrimination in consumer segmentation, transparency deficits in automated decision-making, and accountability gaps in AI-driven marketing systems. Key findings indicate that while regulations like GDPR and CCPA have established foundational data protection standards, significant implementation challenges persist, including the difficulty of translating high-level ethical principles into practice, the opacity of "black box" AI systems, and the disconnect between regulatory compliance and consumer expectations. The review identifies critical research gaps in cross-border regulatory harmonization, bias mitigation in real-time targeting systems, and the development of practical ethical frameworks for generative AI in marketing. We propose a multi-stakeholder approach integrating technical solutions (bias detection tools, privacy-enhancing technologies), organizational practices (ethical leadership, algorithmic accountability), and policy interventions (dynamic governance frameworks, industry standards) to foster responsible AI-enabled marketing that balances innovation with consumer protection and societal values
Influencer Marketing and Marketplace Platforms: Driving Online Fashion Purchase Intention through Consumer Motivation Muhammad Aqshel Revinzky; Andreas Recki Prasetyo; Camelia Rizki Agrina; Rd. Rifqi Dwisanto; Joval Ifghaniyafi Farras
Journal of Economics, Entrepreneurship, Management Business and Accounting Vol 3 No 1 (2025): Volume 3, Issue 1, January 2025
Publisher : CV. Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/jeemba.v3i1.563

Abstract

Fashion is a form of self-expression that reflects a person's identity, lifestyle, and social status. In addition to being a basic need, fashion is also a means of visual communication that allows individuals to express their personality, aesthetic preferences, and cultural affiliations. Along with the development of technology, especially through online platforms and social media, fashion is also increasingly accessible to various groups, including the younger generation (generation z), who are heavily influenced by influencers and digital trends. Therefore, fashion is now not only related to the style aspect, but also to the ever-evolving social, cultural, and economic dynamics. One way to understand the dynamics of the behavior of the younger generation in the fashion industry is to look at the role of digital marketing, especially through influencer marketing and marketplace platforms. This study aims to determine the direct and indirect effects of influencer marketing, marketplace platforms, consumer motivation on online fashion purchase interest. This study uses a quantitative approach of the Descriptive Explanatory type that describes the relationship between variables with a population of 114 Generation Z. The sampling technique used Proportional Random Sampling totaling 80 generation z students. The results of the study show that directly and indirectly influencer marketing, marketplace platforms, consumer motivation have a significant effect on online fashion purchase interest. Based on the research that has been conducted, it is expected to enrich the understanding of Generation Z digital consumer behavior and contribute to the development of more relevant and impactful marketing strategies for the online fashion industry and provide practical benefits for marketers and brands in developing the right marketing strategies.