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All Journal Journal of Islamic Civilization 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 Journal Hotspot (jh) 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 Ilmu Politik dan Studi Sosial Terapan Jurnal Ilmiah Multidisiplin Ilmu Indonesian Journal of Applied Accounting and Finance Jurnal Salingka Nagari Journal of Sharia Economics, Banking and Accounting 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 International Journal of Islamic Finance (IJIF) Journal of Economics, Management and Accounting (JEMA) Journal of Economic and Business Jurnal Penelitian Ilmu Pariwisata JEIZA: Jurnal Ekonomi Islam Az-Zain JBIAM LIER: Language Inquiry & Exploration Review AGRONES: JOURNAL OF AGRICULTURE, AGRIBUSINESS WELFARE, TECHNOLOGI, HUMANITY, ENVIRONMENT, SOCIAL AND ECONOMY J-Coop : Journal of Co-operative 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 Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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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.
Predicting Trends in Islamic Banking & Finance: A Big Data Analysis Using Google Trends and AI Koswara, Asep
Journal of Sharia Economics, Banking and Accounting Vol 2, No 2: 2025
Publisher : STAI Nurul Islam Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52620/jseba.v2i2.199

Abstract

This study employs big data analysis and AI forecasting to predict global public interest trends in Islamic Banking and Finance over the period 2020 to 2025, using Google Trends data and the artificial intelligence (NeuralProphet) model. Five key terms—Islamic finance, Islamic banking, sukuk, takaful, and halal investment—were analyzed to capture diverse sector dynamics. Forecasts reveal varying trends: takaful shows the highest predicted interest (85.6) with strong seasonal fluctuations, Islamic finance and halal investment exhibit steady growth with moderate seasonality, while sukuk and Islamic banking display irregular, event-driven patterns. Model evaluation via MAE (0.41–5.03), RMSE (0.49–6.95), and R² (0.16–0.67) reflects differing predictive accuracies, highlighting stable sectors versus more volatile markets. These findings underscore the potential of integrating big data and AI to enhance strategic planning and responsiveness in Islamic finance, supporting tailored, data-driven decision-making aligned with evolving market behavior.
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

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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

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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

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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.
Smart Farming and Consumer Awareness; Measuring the Uptake of Agri-Tech in the Digital Landscape Koswara, Asep
Journal of Agriculture, Agribusiness, Welfare, Technology, Humanity, Environment, Social, and Economy Vol. 1 No. 1 (2025): April 2025 Edition
Publisher : Fakultas Teknologi Pertanian Unsultra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64690/agrones.v1i1.50

Abstract

This research analyzes global search trends for "Smart Farming" and "Smart Agriculture" over the last five years, aiming to uncover how public interest in these digital agricultural terms has evolved. This research employed a quantitative research design by examining Google Trends data from last 5 years. The study identifies long-term growth, seasonal fluctuations, and surges in interest due to global events and technological advancements. The key findings reveal that "Smart Agriculture" has consistently outpaced "Smart Farming" in global popularity, with peak interest for Smart Agriculture reaching a score of 100 in March 2025, compared to 83 for Smart Farming in November 2024. From 2020 to 2025, the average interest for Smart Agriculture was 65, while Smart Farming averaged 50. Additionally, seasonal patterns indicated higher interest in Q1 (January–March), peaking in February 2025 for Smart Agriculture with a score of 96–100. The study also observed significant surges in interest in 2022, particularly around May, when interest in Smart Agriculture spiked to 91, likely driven by the Ukraine conflict and food security concerns. The research further highlights global geographical variations, with countries like Afghanistan, Armenia, and Belize showing strong interest in Smart Agriculture (scoring 100), while countries such as Haiti and Venezuela led the Smart Farming interest rankings. Overall, the study concludes that Smart Agriculture is becoming a global priority, significantly driven by technological and geopolitical factors, with broad implications for policy, research, and industry innovation.
Peran Teknologi Digital dalam Mewujudkan Pendidikan Gratis di Indonesia: Studi Kasus kampusgratis.id Asep Koswara
Inventor: Jurnal Inovasi dan Tren Pendidikan Teknologi Informasi Vol. 3 No. 3 (2025): Edisi Oktober
Publisher : STKIP Taman Siswa Bima

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37630/inventor.v3i3.2563

Abstract

Perkembangan teknologi digital yang pesat telah membuka peluang baru dalam penyediaan pendidikan tinggi gratis di Indonesia. Penelitian ini mengkaji peran teknologi digital dalam mewujudkan pendidikan tinggi gratis melalui studi kasus KampusGratis.id. Tujuan penelitian ini adalah menganalisis bagaimana platform digital meningkatkan aksesibilitas, mengoptimalkan pembelajaran daring, serta mengatasi tantangan finansial dan operasional. Dengan menggunakan pendekatan kualitatif dan metode studi kasus, data dikumpulkan melalui analisis dokumen serta observasi terhadap implementasi platform. Hasil penelitian menunjukkan bahwa platform digital secara signifikan meningkatkan akses pendidikan, namun masih menghadapi tantangan keberlanjutan akibat keterbatasan pendanaan. Rekomendasi strategis yang diberikan mencakup penguatan kemitraan dengan industri dan pemerintah, pengembangan model pendanaan berbasis donasi, serta pemanfaatan kecerdasan buatan untuk meningkatkan kualitas pembelajaran. Penelitian ini berkontribusi dalam memahami bagaimana teknologi digital dapat mendukung pendidikan tinggi yang inklusif dan berkelanjutan, serta memastikan pertumbuhan jangka panjang untuk memperluas akses pendidikan di Indonesia.
EDUCATIONAL MARKETING IN SCHOOL MANAGEMENT: AN ONTOLOGICAL, EPISTEMOLOGICAL, AND AXIOLOGICAL ANALYSIS FROM THE PHILOSOPHY OF SCIENCE PERSPECTIVE Tarso Tarso; Asep Koswara; Deny Hadi Siswanto
Jurnal Ilmiah Multidisiplin Ilmu Vol. 3 No. 1 (2026): Februari : Jurnal Ilmiah Multidisiplin Ilmu (JIMI)
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/rv353w94

Abstract

This study aims to examine educational marketing in school management through the perspective of the philosophy of science, encompassing the dimensions of ontology, epistemology, and axiology. The study employed a qualitative approach with a library research design combined with philosophical-conceptual analysis. The research data were sourced from primary and secondary literature in the form of classic and recent books, articles from accredited and internationally reputable national journals, and policy documents relevant to educational marketing and school management. Data analysis was conducted through the stages of concept reduction, thematic categorization, philosophical interpretation, and argumentative synthesis. The results of the study indicate that ontologically, educational marketing is an integral part of the nature of school management as a public service institution oriented towards social and humanitarian missions. Epistemologically, educational marketing is built on the integration of theory, empirical data, and practical experience in school management, explained scientifically and reflectively. Meanwhile, axiologically, educational marketing demands the application of ethical values, honesty, social responsibility, and an orientation towards mutual education. The integration of these three dimensions emphasizes the importance of developing meaningful, ethical, and sustainable educational marketing.
Reorientasi Koperasi Syariah: Transformasi dari Formalitas Akad menuju Esensi Keadilan Ekonomi Koswara, Asep
J-Coop : Journal of Co-operative Vol. 2 No. 1 (2026): J-Coop : Journal of Co-operative
Publisher : LPPM Universitas Koperasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32670/jc.v2i1.44

Abstract

Penelitian ini mengkaji reorientasi koperasi syariah di Indonesia dari kepatuhan formalistik terhadap akad syariah menuju perwujudan substantif keadilan ekonomi. Meskipun jumlah koperasi syariah terus meningkat, banyak di antaranya masih beroperasi dengan pola yang menyerupai lembaga keuangan konvensional, dengan penekanan pada imbal hasil tetap dan penghindaran risiko, alih-alih kemitraan usaha, pemberdayaan anggota, dan redistribusi kekayaan. Kondisi ini melemahkan peran transformatif koperasi syariah sebagai instrumen keadilan sosial-ekonomi. Penelitian ini menggunakan desain kualitatif dan konseptual melalui analisis berbasis literatur serta sintesis analitis atas teori ekonomi Islam dan koperasi kontemporer untuk membangun kerangka normatif dan kelembagaan. Pendekatan ini mengintegrasikan maqasid al-shariah, prinsip koperasi, dan perspektif keuangan mikro Islam guna mengidentifikasi ketidaksesuaian struktural antara praktik yang berjalan dan landasan etika ekonomi Islam. Hasil utama penelitian ini adalah perumusan Model Koperasi Syariah Berbasis Keadilan Ekonomi (KS-KKE) yang terdiri dari empat pilar: orientasi maqasid, pembiayaan partisipatif, distribusi nilai yang adil, dan pemberdayaan anggota. Model ini menggeser paradigma dari tata kelola berbasis kontrak menuju desain kelembagaan yang berorientasi pada keadilan. Penelitian ini menyimpulkan bahwa keberlanjutan dan legitimasi koperasi syariah tidak ditentukan oleh formalitas akad semata, melainkan oleh kemampuannya dalam mendorong pertumbuhan inklusif, pemerataan distribusi kekayaan, dan pemberdayaan ekonomi anggota.
Persaingan PayLater di Indonesia: Analisis Pasar dan Peramalan Minat Konsumen Berbasis Data Science Koswara, Asep; Tarso, Tarso; Soegoto, Eddy Soeryanto; Wahdiniwaty, Rahma; Bachtiar, Adam Mukharil; Sumitra, Irfan Dwiguna
Jurnal Salingka Nagari Vol. 4 No. 2 (2025): Jurnal Salingka Nagari
Publisher : Universitas Negeri Padang

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Abstract

This study examines the dynamics of consumer interest in PayLater services in Indonesia by leveraging big data from Google Trends for the 2023–2025 period. Using a qualitative approach that integrates spatial analysis and Python-based predictive modeling, this research aims to map temporal search patterns, the geographical distribution of adoption, and the socio-economic factors influencing consumer preference toward three major platforms: Kredivo, Akulaku, and Shopee PayLater. The methodology includes time-series analysis, provincial-level geospatial mapping, and forecasting using the Facebook Prophet algorithm. The findings reveal that PayLater search interest is cyclical, with significant spikes during e-commerce campaigns, public holidays, and monthly payday cycles. Spatially, a sharp adoption disparity exists between urban areas and regions with limited digital infrastructure. Kredivo exhibits the most balanced regional distribution, while Akulaku is heavily concentrated in West Java, and Shopee PayLater shows strong penetration in non-Java regions. The forecasting results project sustained growth in interest through 2027, providing strategic implications for fintech companies in expanding digital financial inclusion across Indonesia.
Co-Authors Bachtiar, Adam Mukharil Bobi Kurniawan, Bobi Deny Hadi Siswanto Eddy Soeryanto Soegoto Lina Herlina Neni Kurniawati Nurbilla, Anisa Rahma Wahdiniwaty Siti Marpuah, Siti Sumitra, Irfan Dwiguna Tarso Tarso Tarso, Tarso Umi Narimawati