[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-128753-en":3,"doc-seo-128753-105":30,"detail-sidebar-cat-0-en-105":92},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},128753,1099523885074,"Ivy","https://ap-avatar.wpscdn.com/davatar_9964176cb1d06d4a9deccf72a44ae3dc",8,"Research & Report","Decision Model of Interest in Buying East Asian Food Products based on Halal Awareness and Religiosity Values - Method","Indonesia still lacks a strongly developed halal food industry despite its market potential, and it remains more of a target market. Under rapid digital transformation and strong cultural/social media influence, halal awareness among Indonesians requires strengthening. This study investigates the most influential factors affecting purchase interest in East Asian food products using halal awareness and religiosity values, builds a decision model, and evaluates it. A descriptive quantitative design with 302 Muslim respondents (15–60+) in Jabodetabek was analyzed via five classification algorithms.","DOI: [https://doi.org/10.36722/exc.v2i1.2341](https://doi.org/10.36722/exc.v2i1.2341)  \nDecision Model of Interest in Buying East Asian Food Products based on Halal Awareness and Religiosity Values using the Classification Machine Learning Algorithm  \nMethod  \nSalsa Fairuz 1*, Budi Aribowo2  \n1,2Industrial Engineering, Faculty of Science and Technology, University Al-Azhar of Indonesia, Al Azhar Grand Mosque Complex, Jalan Sisingamangaraja, Kebayoran Baru, South Jakarta 12110  \n[Corresponding author /E-mail: salsafairuzz@gmail.com](Corresponding author /E-mail: salsafairuzz@gmail.com)  \nAbstract –Indonesia has not yet developed a strong halal food industry despite its potential and remains more of a target market. With rapid digital transformation, cultural influences, and social media trends, halal awareness among Indonesians needs to be strengthened. This study aims to explore the most influential factors on buying interest in East Asian food products based on halal awareness andreligiosity values, to model purchase decisions, and stimulate the model. A descriptive quantitative method was used with 302 Muslim respondents aged 15-60+ in Jabodetabek who are active social media users. Data were analyzed using five machine learning classification algorithms: Naïve Bayes, Decision Tree, Support Vector Machine (SVM), K-Nearest Neighbors (KNN), and Logistic Regression. Validity and reliability test were conducted to ensure the quality of the instruments. Results show that the key factors influencing buying interest are halal certification, certification institutions, and brand image. Among the models tested, the K-Nearest Neighbors algorithm delivered the performance with 97% accuracy and an AUC of 0,91. This model effectively classifies consumer interest in East Asian food products. The findings highlight the importance of halal assurance and brand trust in shaping consumen behavior in Indonesia’s growing halal market.  \nKeywords– East Asian food products, Halal awareness, Machine learning classification, Purchase intention, Religious values.  \nINTRODUCTION  \nAcording  \nIslamic  \nto the 2022 State of The Global Economy Report (GIER) released by  \nthe Dinar Standard, March 31, 2022. Indonesia is ranked fourth in the halal food and beverage category. However, even though Indonesia is a country with the highest level of consumption of halal food in the world, the development of the halal food industry in Indonesia is still not advanced.  \nIn addition, digital transformation is currently growing rapidly due to COVID-19. According to research conducted [1] when the AFTA (Asean Free Trade Agreement) was enacted in 2015 as a  \nform of globalization trend in this century, the flow of export-import trade between countries in the region is getting higher and without limits. Long before that, very intensive global trade had taken effect which also made the boundaries between countries in the world almost nonexistent. According to Robertson. [2] . Globalization refers to the incentive narrowing of the world and the increase in our awareness of the world, namely by increasing global connectionsand our understanding of these connections. The emergence of culinary tourism trends in Indonesia is due to the diversity of local and international specialties. The development of the food and drink services sector along with the growth of the tourism sector has resulted in an increase in  \nculinary tourism activities. Culinary tourism is not only for learning about other cultures, but also forgoing on food tasting adventures [2] .  \nFree markets and globalization certainly have positive and negative impacts on the development of the food market in Indonesia. One of them is East Asia. The influence of East Asia in Indonesian culinary trends can be found in various corners of the city as if East Asian food has become the stigma of typical Indonesian food. For example Korea, not only music and drama series are able to hypnotize fans from Indonesia, Korean","cbCaitiz1suV33Hv","https://ap.wps.com/l/cbCaitiz1suV33Hv","pdf",761755,1,13,"English","en",105,"# Method\n## Participants and Data Collection\n## Machine Learning Classification Algorithms\n## Validity and Reliability Tests\n# Results\n## Key Influencing Factors\n## Model Performance (Accuracy and AUC)\n# Introduction\n## Indonesia’s Halal Market Context\n## Digital Transformation and Globalization\n## Culinary Tourism and East Asian Food Trends","[{\"question\":\"What is the purpose of this study about East Asian food products?\",\"answer\":\"The study explores influential factors behind consumers’ purchase interest in East Asian food products by using halal awareness and religiosity values, then models and evaluates the decisions.\"},{\"question\":\"Who participated in the data collection and how many respondents were used?\",\"answer\":\"The study uses 302 Muslim respondents aged 15 to 60+ in the Jabodetabek area who are active social media users.\"},{\"question\":\"Which machine learning algorithms were compared, and which performed best?\",\"answer\":\"Five algorithms were tested: Naïve Bayes, Decision Tree, SVM, KNN, and Logistic Regression. K-Nearest Neighbors achieved the best performance with 97% accuracy and an AUC of 0.91.\"}]","Decision Model of Interest in Buying East Asian Food Products based on Halal Awareness and Religiosity Values - Method | PDF",1786003102,33,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":87,"head_meta":89,"extra_data":91,"updated_unix":28},"decision-model-of-interest-in-buying-east-asian-food-products-based-on-halal-awareness-and-religiosity-values-method","",{"@graph":36,"@context":86},[37,54,69],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/decision-model-of-interest-in-buying-east-asian-food-products-based-on-halal-awareness-and-religiosity-values-method/128753/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":63,"encodingFormat":61,"isAccessibleForFree":64,"interactionStatistic":65},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-22","2026-08-06",true,{"@type":66,"interactionType":67,"userInteractionCount":20},"InteractionCounter",{"@type":68},"ViewAction",{"@type":70,"mainEntity":71},"FAQPage",[72,78,82],{"name":73,"@type":74,"acceptedAnswer":75},"What is the purpose of this study about East Asian food products?","Question",{"text":76,"@type":77},"The study explores influential factors behind consumers’ purchase interest in East Asian food products by using halal awareness and religiosity values, then models and evaluates the decisions.","Answer",{"name":79,"@type":74,"acceptedAnswer":80},"Who participated in the data collection and how many respondents were used?",{"text":81,"@type":77},"The study uses 302 Muslim respondents aged 15 to 60+ in the Jabodetabek area who are active social media users.",{"name":83,"@type":74,"acceptedAnswer":84},"Which machine learning algorithms were compared, and which performed best?",{"text":85,"@type":77},"Five algorithms were tested: Naïve Bayes, Decision Tree, SVM, KNN, and Logistic Regression. 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