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All Journal Marine Research in Indonesia JIEB : Jurnal Ilmiah Ekonomi Bisnis Jurnal Syntax Imperatif : Jurnal Ilmu Sosial dan Pendidikan 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 Marketing and Business Strategy Indonesian Journal of Applied Accounting and Finance Journal of Sharia Economics, Banking and Accounting Indonesian Tourism Journal LinguaEducare: Journal of English and Linguistic Studies Inflasi : Jurnal Ekonomi, Manajemen dan Perbankan Expert Net: Exploration Journal of Technological Education Trends Alkasb: Journal of Islamic Economics Jurnal Ilmu-Ilmu Pertanian Silatene : Jurnal Sosial Humaniora Journal of Economics, Management and Accounting (JEMA) Journal of Economic and Business Jurnal Penelitian Ilmu Pariwisata JEIZA: Jurnal Ekonomi Islam Az-Zain JBIAM AGRONES: JOURNAL OF AGRICULTURE, AGRIBUSINESS WELFARE, TECHNOLOGI, HUMANITY, ENVIRONMENT, SOCIAL AND ECONOMY
Koswara, Asep
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Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences 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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Persaingan Dompet Digital di Indonesia: Analisis Tren Google dan Machine Learning pada GoPay, OVO, dan DANA Koswara, Asep
Journal of Economic and Business Vol 2 No 1 (2025): Maret
Publisher : Universitas Nazhatut Thullab Al-Muafa Sampang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52298/joebis.v2i1.89

Abstract

Penelitian ini menganalisis lanskap persaingan tiga platform dompet digital teratas di Indonesia—GoPay, OVO, dan DANA—dengan menggunakan data Google Trends dari Mei 2020 hingga Mei 2025. Melalui pendekatan kuantitatif dan analisis deskriptif berbasis machine learning, seperti klasterisasi K-Means, dekomposisi musiman, dan teknik peramalan (model ARIMA dan Prophet), penelitian ini menelusuri minat publik berdasarkan volume pencarian sebagai proksi perhatian pengguna. Hasil menunjukkan bahwa DANA unggul secara signifikan, mencapai puncaknya pada 100 poin pencarian pada Februari 2025, serta menunjukkan amplitudo musiman tertinggi (51,79) dan dominasi tren terbesar (77,49%). GoPay tetap stabil dengan variasi musiman yang rendah (amplitudo: 3,97; dominasi tren: 26,60%), sedangkan OVO mengalami penurunan konsisten, dengan minat pencarian yang stabil di kisaran 4–6 poin setelah tahun 2023 dan dominasi tren sebesar 60,94%. Hasil peramalan menunjukkan pertumbuhan berkelanjutan DANA, stagnasi GoPay, dan penurunan OVO. Model Prophet secara efektif menangkap tren naik nonlinier dan puncak musiman DANA.
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.
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 Growth of Digital Financial Services (DFS) in Indonesia Amid Tight Regulations: Drivers and Barriers Analysis Koswara, Asep
Inflasi : Jurnal Ekonomi, Manajemen dan Perbankan Vol. 1 No. 2 (2024): Inflasi - November
Publisher : PT. Faaslib Serambi Media

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

Abstract

This study explores the dynamics of digital financial services (DFS) growth in Indonesia amidst increasing regulatory challenges. Using a qualitative observational approach, the research investigates the key drivers and barriers to DFS expansion in the country. The findings reveal that the gross transaction value (GTV) of online payments in Indonesia reached $286 billion in 2022, with projections to grow by 19% annually to $404 billion by 2024. Similarly, the online lending sector saw an increase in loan balances, from $5 billion in 2022 to an expected $9 billion by 2024. The research identifies key drivers such as technological advancements, the increasing smartphone penetration, and a more supportive regulatory environment as factors contributing to the sector’s growth. However, challenges /barrier remain, particularly in terms of regulatory constraints, digital literacy gaps, and infrastructure limitations in rural areas. This paper also explores the potential implications of stricter regulations on fintech innovation and its effects on market competition. It concludes by offering recommendations for enhancing digital financial inclusion, including the need for targeted policy reforms, investment in digital literacy, and improved internet infrastructure.
INSTITUSIONALISASI LEMBAGA DISTRIBUSI PANGAN MASYARAKAT (LDPM) Koswara, Asep
Jurnal Ilmu-Ilmu Pertanian Vol. 24 No. 2 (2017): Desember
Publisher : Politeknik Pembangunan Pertanian Yogyakarta-Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55259/jiip.v24i2.124

Abstract

Food security is a trending topic and is a global problem that is interesting to continue to be discussed. The problem of food security cannot be separated from the three (3) main aspects, namely the aspect of production, distribution and consumption. One of the empowerment program of food security that is being done is the strengthening of the Public Food Distribution Institution Program or commonly abbreviated LDPM. The program provides grant assistance in the form of social capital (social assistance) to the combined group of farmer beneficiaries remedy used as venture capital to business units owned. The success of the program needs to be institutionalized norms or rules that exist in the program LDPM the combined members of farmer groups in order to target the norms or rules become part of the lifestyle people of Malang district. This study aims to determine how the institutionalization LDPM members of farmer groups at the transmitter and how farmers understand. The study was conducted using qualitative descriptive approach and conducting depth inter views and observations to the informants as many as 30 people. Based on their search conducted is known that the members of the Joint LDPM transmitter farmer groups have not been fully institutionalized because the norms that emphasized not fully accepted by members of the community because in line with the local wisdom that is in the region.
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

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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.
Co-Authors Aditya, Vishnu Arief Rachman Hikmah Thoha Lina Herlina Neni Kurniawati Nurul Fitriya Siti Marpuah, Siti Tumpak Sidabutar