Article Per Year (5 Year)
p-Index From 2021 - 2026
3.142
P-Index
This Author published in this journals
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

Published : 24 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 24 Documents
Search

 1   2   3 
Leveraging TikTok virtual gifts for rural infrastructure funding: A case study from Sampang Village, East Java, Indonesia Koswara, Asep
Social Sciences Insights Journal Vol. 3 No. 1 (2025): Social Sciences Insights Journal
Publisher : MID Publisher International

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60036/jj6hx682

Abstract

This study explores the use of TikTok virtual gifts as a novel approach to funding rural infrastructure projects in East Java, Indonesia, focusing on the village of Sampang. The initiative, driven by local residents, utilized funds gathered from viral TikTok donations to repair damaged roads in the region. Through qualitative observation and thematic analysis of secondary data from news sources like Detik.com, this research examines the dynamics of community-led funding, social media influence, and the limitations of traditional government support. The findings highlight the significant role of digital platforms in empowering rural communities, overcoming bureaucratic delays, and fostering collective action. Despite the success of this initiative, questions remain regarding sustainability, transparency, and the future role of digital fundraising in rural development. This paper contributes to the understanding of how digital media can support grassroots development efforts and the challenges involved.
The Intersection of Generative AI and Applied Linguistics in Modern Marketing & Advertising Practices Koswara, Asep
LinguaEducare: Journal of English and Linguistic Studies Vol. 2 No. 1 (2025): LinguaEducare: Journal of English and Linguistic Studies
Publisher : Cipta Pustaka Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63324/3vbkft90

Abstract

This study explores the intersection of generative AI and applied linguistics in modern marketing and advertising. Generative AI has revolutionized content creation by enabling hyper-personalization, optimizing audience engagement, and improving linguistic adaptability. Using a qualitative research methodology, this study employs content analysis and case studies to examine AI-driven marketing strategies, their implications on consumer behavior, and the ethical considerations surrounding automated content generation. While AI offers efficiency and innovation, challenges such as linguistic biases and ethical transparency persist. The study highlights advancements in natural language processing, the role of AI in shaping persuasive messaging, and the necessity for responsible AI implementation. Through an in-depth analysis, the research underscores the need for continued development in AI-human linguistic collaboration, ensuring inclusivity and authenticity in AI-generated marketing. Future prospects include the integration of multimodal AI, creating more immersive and interactive marketing experiences. The findings contribute to a deeper understanding of AI’s role in marketing, offering insights into its evolving impact on advertising communication and consumer interaction.
A Collaborative Model for Funding Indonesia’s MBG Program Through Government and Philanthropy Partnerships Koswara, Asep; Herlina, Lina
Journal of Islamic Economics and Philanthropy Vol. 7 No. 4 (2025): May
Publisher : Universitas Darussalam Gontor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21111/jiep.v7i4.13960

Abstract

Indonesia’s Makan Bergizi Gratis (MBG) program faces significant funding constraints, making its long-term sustainability uncertain. Given the limitations of government financing, this study explores a collaborative funding model that integrates public, philanthropic, and private sector contributions. Using a literature review and case study analysis, the research examines funding mechanisms from successful international programs and assesses their applicability to Indonesia. Findings highlight effective public-philanthropy partnerships in countries such as Brazil, India, and the UK. Brazil’s Fome Zero program successfully reduced hunger through strong government commitment and private sector engagement. India’s Akshaya Patra Foundation scaled its school meal initiative by leveraging corporate social responsibility (CSR) funding, while the UK’s Magic Breakfast demonstrated how philanthropy can complement government efforts in ensuring food security for students. These cases illustrate how multi-sectoral collaboration enhances financial stability, operational efficiency, and program reach. This study provides practical recommendations for policymakers and philanthropic organizations to optimize financial contributions and governance structures. By fostering strong multi-sectoral collaboration, this model can serve as a replicable framework for other large-scale social programs.
Geospatial analysis of Islamic business trends: Mapping global interest via google search query clustering Koswara, Asep
Alkasb: Journal of Islamic Economics Vol. 4 No. 1 (2025)
Publisher : Islamic Economics Study Program, Faculty of Sharia and Islamic Economics, Universitas Annuqayah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59005/alkasb.v4i1.632

Abstract

The Islamic economy, encompassing sectors such as finance, halal food, tourism, and fintech,  has expanded rapidly worldwide in recent years. Yet, global public interest trends in these sectors remain underexplored, particularly from a digital behavior standpoint. This study investigates Islamic business trends by analyzing and clustering Google search data (2020–2025) to uncover geographic and thematic interest patterns. Using geospatial mapping and unsupervised machine learning, it evaluates Google Trends data to reveal temporal and spatial shifts in engagement. Findings show Islamic finance interest is concentrated in regions with mature Shariah-compliant systems, while halal food attracts global attention beyond Muslim-majority demographics. Halal tourism and Sharia fintech, though niche, exhibit untapped growth potential. The study demonstrates how digital trace data can enhance real-time economic trend analysis, with regional variations reflecting cultural and institutional influences. By combining digital analytics, economic geography, and Islamic business research, this work provides actionable insights for policymakers and investors to identify market opportunities. Additionally, it introduces a pioneering framework integrating geospatial and machine learning methods to track global business trends, advocating for broader use of digital data in economic studies.
Identifying high-value keywords for Bali tourism: A machine learning approach Koswara, Asep
Journal of Commerce, Management, and Tourism Studies Vol. 4 No. 2 (2025): Aug 2025
Publisher : YAYASAN MITRA PERSADA NUSANTARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58881/jcmts.v4i2.334

Abstract

This study explores how machine learning techniques, specifically K-Means Clustering, can be applied to identify high-value tourism-related keywords for Bali using Google Keyword Planner data. By analyzing normalized search volume, cost-per-click (CPC), and competition scores, the keywords were grouped into three meaningful clusters: (1) high-volume, high-CPC keywords such as Bali luxury resorts and honeymoon in Bali, (2) low-volume, high-CPC keywords like eco-retreat Bali and private villa Ubud, and (3) high-volume, low-CPC keywords including Bali itinerary and Bali beach names. The Elbow Method confirmed that three clusters offered the optimal segmentation. Findings show that luxury and culturally immersive travel themes yield the highest marketing value, while niche keywords offer untapped advertising potential. Seasonal analysis revealed peaks in keyword interest during mid-year and year-end holiday seasons, aligning with international travel patterns. The machine learning approach enhanced keyword structuring and revealed strategic timing opportunities for content deployment. The study concludes that data-driven keyword targeting can significantly improve the effectiveness and sustainability of digital marketing in Bali’s tourism sector. Recommendations include focusing on premium and niche clusters, while future research may integrate social media trends and geospatial analysis to deepen keyword relevance and behavioral insights.
Digital Interest in Nature-Based Accommodation: A Google Search Study of Glamping Popularity in Indonesia Koswara, Asep; Kurniawati, Neni
Journal of Hospitality Accommodation Management (JHAM) Vol. 4 No. 2 (2025): Journal of Hospitality Accommodation Management (JHAM)
Publisher : Program Studi Manajemen Divisi Kamar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52352/jham.v4i2.1941

Abstract

This study investigated digital interest in nature-based accommodation, particularly glamping, by analyzing Google Search data in Indonesia from 2019 to 2025. Glamping, a fusion of “glamorous” and “camping,” has emerged as a growing trend among urban travelers seeking comfort in natural environments. Using a descriptive observational approach, the research utilized Google Trends to assess search volume dynamics, popular queries, regional patterns, and seasonal spikes. The results revealed a steady increase in glamping-related searches, with notable peaks during holidays and weekends, indicating a strong connection between digital interest and domestic travel behavior. Popular destinations such as Bogor, Bandung, and Ciwidey dominated the search queries, while new keywords like “Bobocabin” and “Heha Ocean Glamping” indicated rising consumer preferences. Regional data showed that areas like Bali and Jakarta contributed most to glamping-related search activity. The findings highlight the value of Google Trends as a real-time tool for understanding tourism demand and consumer intent. This research provides valuable insights for tourism stakeholders to anticipate market shifts, optimize promotional strategies, and develop nature-based tourism offerings.
AI and Big Data in Tourism: Mapping Geographic Keywords for Indonesian Destinationsraphic Keywords for Indonesian Destinations Koswara, Asep
Jurnal Penelitian Ilmu Pariwisata Vol. 1 No. 1 (2025): Jurnal Penelitian Ilmu Pariwisata
Publisher : Institut Citra Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33862/jpip.v1i1.564

Abstract

This study explores the integration of Artificial Intelligence (AI) and Big Data in mapping geographical keywords related to tourism destinations in Indonesia. Using an exploratory qualitative approach, the study aims to understand how tourism-related keyword search behavior can reveal regional tourism trends, thematic interests of travelers, and seasonal dynamics of tourism demand. Data were collected from tourism keyword searches throughout 2023–2024 and analyzed using Natural Language Processing (NLP) techniques, including thematic classification, semantic mapping, and keyword association analysis. The findings reveal four key insights: (1) the frequency of geographical keywords highlights both popular and emerging tourism areas; (2) thematic classification identifies traveler interests in cultural, natural, and culinary tourism; (3) temporal analysis shows consistent seasonal patterns in search intensity; and (4) semantic mapping displays relationships among keywords, reflecting traveler perceptions and preferences. The study emphasizes that AI and Big Data can enhance destination branding, policy planning, and personalized tourism marketing strategies. In addition to contributing theoretically to the smart tourism literature, it also offers practical guidance for stakeholders to align promotional strategies with actual search trends and regional tourism needs.
The Anatomy of Viral TikTok Ads: Sentiment and Semantic Analysis of Top-Performing Keywords Koswara, Asep
Journal of Economics, Management and Accounting (JEMA) Vol. 2 No. 01 (2024): Journal of Economics, Management and Accounting (JEMA)
Publisher : Devitara Innovations

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

Abstract

This study analyzed the anatomy of viral TikTok advertisements by examining the sentiment and semantic characteristics of top-performing keywords in the Indonesian market. The research utilized data from TikTok’s Keyword Insights platform, focusing on metrics such as popularity, click-through rate, conversion rate, and cost per acquisition. The analysis revealed that viral keywords predominantly exhibited neutral sentiment and were closely linked to culturally relevant terms reflecting local consumer interests. The dataset included over 700 million impressions and revealed that keywords such as pria (man), diskon 50% (50% discount), and sepatu (shoes) dominated virality with popularity scores reaching up to 40,000 and engagement rates exceeding 25%. Sentiment analysis showed that all top viral keywords carried a neutral sentiment. Correlation analysis indicated a strong positive relationship (r = 0.94) between engagement metrics and virality, while click-through rates negatively correlated with virality (r = -0.54). Cultural factors, including keywords related to modest fashion like hijab (headscarf) and gamis (muslim dress), were significant in shaping consumer behavior. The study demonstrates that viral success on TikTok in Indonesia relies on a combination of semantic relevance, cultural context, and interactive engagement, providing strategic insights for data-driven and culturally tailored marketing campaigns.  
PDF Mapping Consumer Awareness of Halal Food Across Countries: A Python-Based Google Trends Study: Pemetaan Minat Konsumen terhadap Makanan Halal di Berbagai Negara: Studi Google Trends Berbasis Python Koswara, Asep
JEIZA : Jurnal Ekonomi Islam Az-Zain Vol. 1 No. 2 (2025): JEIZA: Jurnal Ekonomi Islam Az-Zain
Publisher : Program Studi Ekonomi Syariah & LP2M STAI Az-Zain Sampang

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

Abstract

This study aims to map global consumer awareness of halal food through the analysis of search trends using the keyword “halal food” on Google Trends from July 2020 to July 2025. Employing a Python-based data collection and visualization method, this research explores the intensity, geographic distribution, related rising queries, and seasonal patterns of online interest. The findings show that awareness is highest in Southeast Asian countries, particularly Singapore, Brunei, and Malaysia, while Western countries like the United Kingdom, Canada, and Australia demonstrate growing interest. Related search terms highlight the rise of halal-branded fast food and localized food festivals, suggesting a shift in consumer engagement. Seasonal trends correlate strongly with Islamic religious events such as Ramadan and Eid. The study offers a novel perspective by integrating behavioral data and digital tools to uncover dynamic awareness patterns, contributing to the halal consumer behavior literature. The implications suggest new marketing strategies for halal food providers, especially in emerging multicultural markets, by aligning offerings with search behavior and cultural timing.
Hyperlocal Business Patterns in Indonesia: A Hashtag-Based Machine Learning Study of Top Metropolitan Areas Koswara, Asep
Journal Business Inovation, Accounting and Management Vol 1 No 1 (2025): April 2025
Publisher : Lembaga Riset Penelitian dan PKM Aliansi Manajemen Indonesia

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

Abstract

This study explores how hyperlocal businesses in Indonesia's metropolitan areas construct their digital identities through hashtags on social media, specifically Instagram. The research aims to identify spatial and sectoral variations of digitally expressed business activity by analyzing the top 30 hashtags from five major cities: Jakarta, Bandung, Surabaya, Yogyakarta, and Medan. Data was collected via Tagsfinder.com and classified using a supervised machine learning model based on the frequency-inverse document frequency (TF-IDF) to distinguish business-related hashtags from non-business ones. The results show that out of 150 total hashtags, 42.7% were classified as business-related, with Bandung showing the highest proportion (56.6%) and Yogyakarta the lowest (20%). Sectorally, Bandung stands out in fashion and apparel, while Medan shows strong presence in the jewellery sector (e.g., #cincinnikah, #cincinmedan) and Surabaya with culinary sector. These findings affirm previous literature on hashtags as proxies for economic activity and address a significant research gap in the Global South context. In conclusion, social media hashtags serve not only as tools for promotion but also as spatial and cultural markers of urban business identity, providing new insights for digitally mapping hyperlocal urban economies in Indonesia.
Co-Authors Deny Hadi Siswanto Lina Herlina Neni Kurniawati Siti Marpuah, Siti Tarso Tarso