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All Journal JIEB : Jurnal Ilmiah Ekonomi Bisnis Jurnal Al Azhar Indonesia Seri Ilmu Sosial Journal of Islamic Economics and Philanthropy International Journal Law and Legal Ethics (IJLLE) Journal of Hospitality Accommodation Management Jurnal Pengabdian Masyarakat STIE Surakarta (DIMASETA) Journal of Society Bridge Journal of Commerce Management and Tourism Studies Jurnal of Information Technology and Society (JITS) Social Sciences Insights Journal Research of Islamic Economics (RIE) Jurnal Ilmiah Multidisiplin Ilmu Indonesian Tourism Journal LinguaEducare: Journal of English and Linguistic Studies Expert Net: Exploration Journal of Technological Education Trends Alkasb: Journal of Islamic Economics Inventor: Jurnal Inovasi dan Tren Pendidikan Teknologi Informasi Silatene : Jurnal Sosial Humaniora Journal of Economics, Management and Accounting (JEMA) Jurnal Penelitian Ilmu Pariwisata JEIZA: Jurnal Ekonomi Islam Az-Zain JBIAM AGRONES: JOURNAL OF AGRICULTURE, AGRIBUSINESS WELFARE, TECHNOLOGI, HUMANITY, ENVIRONMENT, SOCIAL AND ECONOMY Journal of Digital Business & Banking
Asep Koswara
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Digitalisasi Ekonomi di Pedesaan: Mengkaji Kesenjangan Infrastruktur Digital di Indonesia Koswara, Asep
Jurnal Al Azhar Indonesia Seri Ilmu Sosial Vol 5, No 3 (2024): Oktober 2024
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/jaiss.v5i3.3407

Abstract

Penelitian ini bertujuan untuk mengkaji kesenjangan infrastruktur digital di wilayah pedesaan Indonesia dan dampaknya terhadap digitalisasi ekonomi. Berdasarkan data Indeks Masyarakat Digital Indonesia (IMDI) 2023 yang diambil dari Badan Pengembangan SDM Kominfo, ditemukan bahwa meskipun ada kemajuan di pilar infrastruktur (skor 57,09) dan keterampilan digital (skor 56,59), pilar pemberdayaan (skor 26,19) dan pekerjaan (skor 32,14) masih jauh tertinggal. Hal ini menunjukkan rendahnya pemanfaatan teknologi digital oleh masyarakat pedesaan, terutama dalam sektor ekonomi dan ketenagakerjaan. Tantangan utama yang dihadapi mencakup terbatasnya akses telekomunikasi, literasi digital yang rendah, serta minimnya program pemberdayaan dan adopsi teknologi dalam kegiatan ekonomi. Penelitian ini menggunakan metode kualitatif deskriptif dengan pendekatan observasi dan analisis data sekunder. Hasilnya mengindikasikan bahwa investasi infrastruktur, pelatihan keterampilan digital, serta kolaborasi antara pemerintah dan sektor swasta sangat diperlukan untuk mengatasi kesenjangan digital. Kesimpulannya, upaya pemberdayaan masyarakat melalui pengembangan keterampilan digital dan peningkatan akses infrastruktur akan mempercepat digitalisasi ekonomi pedesaan. Penelitian selanjutnya disarankan untuk lebih dalam meneliti dampak sosial digitalisasi dan cara efektif mengurangi kesenjangan antarwilayah. Kata kunci: Digitalisasi Ekonomi, Infrastruktur Digital, Pedesaan, Kesenjangan Digital
ANALISIS KINERJA AI MARKETING PLAN GENERATOR (EASYPEASY.AI) DALAM MERANCANG STRATEGI PEMASARAN DIGITAL Koswara, Asep
Jurnal Ilmiah Ekonomi Bisnis Vol 10 No 3 (2024): JURNAL ILMIAH EKONOMI BISNIS - ON PROGRESS
Publisher : Jurnal Ilmu Ekonomi dan Bisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35972/jieb.v10i3.1692

Abstract

Saat ini, ada banyak sekali alat/tool Artificial Intelligence (AI) yang bisa dimanfaatkan dalam dunia bisnis. Salah satunya AI Marketing Plan Generator yang bisa digunakan dalam menyusun strategi digital marketing. Penelitian ini menganalisis kinerja AI Marketing Plan Generator (EasyPeasy.AI) dalam merancang strategi pemasaran digital untuk bisnis pelatihan security. Penelitian ini menggunakan metode kualitatif dengan observasi dan percobaan. Fokus utama penelitian adalah mengevaluasi kualitas, kejelasan, dan kecocokan rekomendasi yang dihasilkan dengan praktik terbaik pemasaran digital. Hasil analisis menunjukkan bahwa AI dapat menghasilkan strategi pemasaran yang relevan dan efektif, seperti pemanfaatan media sosial, iklan berbayar, dan konten yang menarik, yang sangat sesuai dengan target audiens bisnis pelatihan security. Selain itu, rencana pemasaran yang dihasilkan mudah dipahami berkat struktur yang jelas dan bahasa yang sederhana. Meskipun demikian, beberapa kekurangan ditemukan, seperti kurangnya personalisasi dan rincian mendalam dalam rekomendasi, serta kebutuhan untuk penyesuaian manual. Tantangan lainnya adalah biaya tambahan dan kompleksitas dalam implementasi strategi. Penelitian ini menyarankan agar bisnis mengintegrasikan alat ini dengan data yang lebih spesifik dan melibatkan tim pemasaran dalam penyesuaian strategi. Kata kunci: Kecerdasan Buatan, Rencana Pemasaran, Pemasaran Digital, AI Marketing Plan Generator
Pembuatan dan Pengelolaan Metode Pembayaran QRIS pada UMKM Ayam Goreng Teh Iwin di Cileunyi – Bandung Koswara, Asep
Jurnal Pengabdian Masyarakat STIE Surakarta Vol 3 No 2 (2024): Desember 2024
Publisher : Sekolah Tinggi Ilmu Ekonomi Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Program pengabdian masyarakat ini bertujuan untuk meningkatkan efisiensi transaksi di UMKM Ayam Goreng Teh Iwin di Cileunyi, Bandung, melalui penerapan sistem pembayaran QRIS menggunakan aplikasi DANA. Proses pengabdian meliputi pelatihan pembuatan QRIS bagi pemilik usaha dan pendampingan dalam pengelolaan transaksi digital. Hasil yang dicapai menunjukkan bahwa penggunaan QRIS berhasil mempercepat proses pembayaran, mengurangi ketergantungan pada uang tunai, dan meningkatkan transparansi keuangan usaha. Selain itu, pendampingan yang diberikan juga membantu pemilik usaha memahami pentingnya literasi digital dalam pengelolaan keuangan. Meskipun tantangan dalam adaptasi teknologi masih ada, implementasi QRIS memberikan dampak positif dalam pengelolaan UMKM dan membuka peluang bagi usaha mikro untuk berkembang lebih baik di era digital. Program ini diharapkan dapat mendorong lebih banyak UMKM untuk mengadopsi sistem pembayaran di masa depan.
Designing an innovative SEO marketing plan to promote Indonesian tourism using AI-driven tool Koswara, Asep; Marpuah, Siti
Indonesian Tourism Journal Vol. 1 No. 3 (2024): November, 2024
Publisher : CV. Austronesia Akademika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69812/itj.v1i3.71

Abstract

This study adopts the descriptive research method to design an innovative SEO marketing plan aimed at promoting Indonesian tourism using AI-driven tools, specifically SEO.AI. The objective is to explore how artificial intelligence can be leveraged for enhancing keyword generation, content creation, and overall SEO optimization to boost the visibility of Indonesian destinations on global search engines. The research identifies high-volume tourism-related keywords like Bali, Komodo Island, and Raja Ampat and develops a step-by-step SEO strategy, including AI-powered content generation, website optimization, and link-building techniques. Through this process, the study demonstrates the effectiveness of AI-driven tools in streamlining SEO tasks and improving search engine rankings, providing practical implications for the tourism industry. The findings suggest that using AI for SEO can significantly enhance the digital presence of Indonesian tourism. However, the research also acknowledges certain limitations, such as dynamic search trends and external influences on tourism. Future studies are recommended to explore additional digital marketing strategies and assess the long-term impact of AI-driven SEO methods on tourism marketing.
The Ethical Deviations of AI in Marketing Practices: A Critical Review from Halal Perspectives Koswara, Asep; Herlina, Lina
Research of Islamic Economics Vol. 2 No. 2 (2025): JANUARY 2025
Publisher : SAN Scientific

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58777/rie.v2i2.393

Abstract

This paper critically examines the ethical deviations in Artificial Intelligence (AI) tools used for marketing practices from a halal perspective, focusing on Islamic ethical principles. The research highlights risks associated with AI technologies like generative AI (e.g., ChatGPT), image generators, face-swapping tools, and voice cloning, which can lead to misinformation, manipulation, and exploitation. These issues contradict Islamic values of justice (‘adl), integrity (amanah), and harm avoidance (mafsadah). Using a qualitative, exploratory approach, this study identifies key ethical violations while introducing the novel concept of integrating halal principles into AI governance frameworks for marketing. The managerial implications of this research include the necessity for businesses to adopt ethical guidelines, conduct regular AI audits, and prioritize consumer trust through transparent and accountable practices. Companies can enhance competitive advantage by aligning their AI-driven marketing strategies with halal standards, fostering trust among diverse consumer bases. This study not only addresses immediate ethical concerns but also lays the foundation for developing AI tools aligned with Islamic values, contributing to responsible innovation and long-term societal impact.
Filantropi Digital: Pemanfaatan Platform Media Sosial TikTok untuk Menghimpun Donasi di Dunia Maya Koswara, Asep
Journal of Society Bridge Vol. 3 No. 1 (2025): Society Bridge
Publisher : Badan Koordinasi Kegiatan Kesejahteraan Sosial

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59012/jsb.v3i1.66

Abstract

This study explores the effectiveness of TikTok as a digital philanthropy platform, analyzing its impact on fundraising campaigns, factors contributing to campaign success, and strategies for optimization. Using a qualitative descriptive method, this research is based on literature reviews, case studies, and relevant statistical data. The findings reveal that TikTok’s algorithm significantly boosts engagement, with over 55% of users donating after seeing charity-related content. Successful campaigns, such as a community-driven road construction project in Sampang funded through TikTok coins, covering 4.47 km, demonstrate the platform’s potential in mobilizing donations. Features like live streaming, donation stickers, and viral challenges play a crucial role in increasing visibility and participation. However, concerns such as fraud risks and lack of financial transparency remain key challenges. The study concludes that TikTok serves as an effective tool for digital philanthropy, provided that enhanced verification systems and collaborations with trusted organizations are implemented. Future research should explore donor behavior trends and the psychological drivers behind donation decisions to further refine philanthropic strategies on social media.
Empowering Educators with AI: A Review of Google's 'Generative AI for Educators' Free Online Course Koswara, Asep
Expert Net: Exploration Journal of Technological Education Trends Vol. 2 No. 1 (2025): Edisi Juni
Publisher : Yayasan Insan Mulia Bima

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59923/expertnet.v2i1.390

Abstract

The Generative AI for Educators training program by Google provides teachers with essential AI tools to enhance instruction, automate administrative tasks, and personalize student learning experiences. This study evaluates the program’s effectiveness by analyzing its content, strengths, and areas for improvement. Findings indicate that the course significantly boosts educators' efficiency, with most participants reporting time savings and increased confidence in using AI. The program’s accessibility ensures that teachers across disciplines can integrate AI without prior technical expertise. However, the study also highlights areas needing enhancement, such as deeper content exploration, interactive elements, and long-term support for participants. Addressing these gaps would maximize the program’s impact and sustainability in educational settings. The study underscores the importance of AI in modern teaching and suggests further research on AI-driven pedagogical strategies. Ultimately, refining AI training programs will empower educators to leverage technology effectively, fostering innovative and student-centered learning environments.
Forecasting and Predicting Indonesia’s Digital Loan Trends via Google Search and Machine Learning Koswara, Asep
Jurnal Teknologi Informasi dan Masyarakat Vol 3 No 1 (2025): Journal of Information Technology and Society (JITS)
Publisher : Universitas Muhammadiyah Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35438/jits.v3i1.1417

Abstract

Public interest in financial technology, especially in digital loans, has grown rapidly in Indonesia over the past five years. This study analyzes weekly Google Trends data from June 2020 to June 2025, focusing on the keywords “pinjaman online” and “pinjol.” The research aims to understand usage patterns, identify interest spikes, and build predictive models for public attention using ARIMA and various machine learning methods. The ARIMA model, used as a baseline, produced a Mean Absolute Error (MAE) of 2.88 and Root Mean Square Error (RMSE) of 3.61. In contrast, the XGBoost model yielded superior accuracy, with an MAE of 1.39 and RMSE of 2.03. Among all models tested, XGBoost most accurately captured the volatility of online interest, especially during peak periods like October 2021 and January 2023. Findings confirm that “pinjol” outperforms “pinjaman online” in search frequency, driven by informal usage and media coverage. These insights have implications for financial regulators, fintech marketers, and social scientists studying digital behavior, suggesting machine learning models provide a more reliable approach to forecasting online public interest.
The Evolution of Advertising Language in the Age of Generative AI: A Sociolinguistic Approach Koswara, Asep
Jurnal Silatene Sosial Humaniora Vol. 3 No. 1 (2025): Maret
Publisher : Suwaib Amiruddin Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53611/jrj5g534

Abstract

The rapid advancement of generative AI has significantly transformed advertising language, reshaping communication strategies and consumer engagement. This study examines the linguistic shifts introduced by AI-generated advertisements through a sociolinguistic perspective. The research highlights how AI-driven advertising optimizes personalization and efficiency while often lacking the emotional depth and rhetorical nuance of human-crafted content. By comparing traditional and AI-generated advertising discourse, this study identifies emerging linguistic trends and their implications for audience reception and brand authenticity. Additionally, ethical concerns surrounding privacy and manipulation in AI-generated content are explored. The findings suggest that while AI enhances advertising scalability, balancing automation with human creativity remains crucial for maintaining consumer trust and engagement. This research contributes to the broader discourse on digital communication, providing insights into the evolving role of AI in shaping persuasive language.
The New Cooperative Program ‘KMP’ And The Indonesian Pancasila Economy: A Legal And Philosophical Approach Koswara, Asep
International Journal of Law and Legal Ethics Vol 6 No 1 (2025): Vol 6 Issue 1 April 2025
Publisher : Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/ijlle.v6i1.4858

Abstract

The new emergence of Koperasi Merah Putih (KMP) reflects Indonesia’s renewed effort to realign its economic development with the foundational values of Pancasila. Despite the country’s rich history of cooperative movements, legal fragmentation and philosophical detachment have hindered their transformative potential. This paper aims to analyze KMP as both a legal and philosophical manifestation of Indonesia’s economic identity. Using a descriptive qualitative approach, the study examines existing legal frameworks, the integration of Pancasila values into cooperative practice, and the institutional dynamics surrounding KMP implementation. Key findings show that while KMP has a strong normative foundation rooted in Law No. 25/1992 and the 1945 Constitution, its practical application faces challenges in regulatory adaptation, institutional synergy, and philosophical consistency. The research highlights the importance of reconstructing legal instruments to support village-based economic democracy and advocates for embedding justice, solidarity, and identity within the cooperative structure. This study concludes that KMP can serve as a strategic model for reimagining Indonesia’s future economy—one that is community-centered, ethically grounded, and constitutionally aligned.
Co-Authors Deny Hadi Siswanto Lina Herlina Neni Kurniawati Siti Marpuah, Siti Tarso Tarso