[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-122399-en":3,"doc-seo-122399-105":30,"detail-sidebar-cat-0-en-105":91},{"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":4,"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},122399,962075114765,"Quinn","https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd",8,"Research & Report","Identification of Indonesian Traditional Foods Using Machine Learning and Supported by Segmentation Methods","Traditional food plays a key role in safeguarding cultural heritage and strengthening Indonesian culinary identity. This research presents a machine-learning based approach to identify 34 types of conventional Indonesian traditional foods from images across multiple provinces. Image preprocessing and food boundary emphasis are carried out using segmentation filters including Sobel, Prewitt, Robert, Scharr, and Canny, followed by feature extraction and classification via Random Forest, Decision Tree, and SVM derivatives. Random Forest combined with Robert segmentation achieves the best results on the test dataset, with 85.52% accuracy, 84.63% recall, 83.77% precision, and 82.49% F1, with execution time under one minute.","INTERNATIONAL JOURNAL ON INFORMATICS VISUALIZATION  \n[journal homepage : www.joiv.org/index.php/joiv](journal homepage : www.joiv.org/index.php/joiv)  \nIdentification of Indonesian Traditional Foods Using Machine Learning and Supported by Segmentation Methods  \nAbdul Haris Rangkutia,*, Johan Muliadi Kertaa, Roderik Yohanes Mogota, Varyl Hasbi Athalaaa Computer Science Department, School of Computer Science, Bina Nusantara University, Bandung Campus, Jakarta, Indonesia  \nCorresponding author:*[rangku2000@binus.ac.id](rangku2000@binus.ac.id)  \nAbstract—Traditional food is essential in preserving cultural heritage and is a vital part of Indonesian cuisine. In this research, we implement a methodology to identify the traditional Indonesian food using machine learning algorithms supported by various segmentation methods. This research aims to provide an efficient and accurate approach to classifying traditional foods, which can contribute to promoting and preserving Indonesia's culinary heritage. To conduct this research, we conducted experiments on 34 types of conventional Indonesian food originating from various provinces in Indonesia. The analysis of food images involved several segmentation algorithms, including Sobel, Prewitt, Robert, Scharr, and Canny filters. After the segmentation process, we proceeded with feature extraction and classification using traditional machine learning algorithms such as the Random Forest algorithm, Decision Tree, and derivatives of the SVM algorithm. These algorithms aimed to recognize the 34 types of traditional food. After conducting several experiments, we found that Random Forest with Robert's segmentation method was the highest-performance algorithm. It produced extraordinarily accurate results on the test dataset, with an accuracy performance of 85.52%, recall of 84.63%, precision of 83.77%, and an f1 score of 82.49%. Additionally, the best-performing algorithms with execution time averaged less than 1 minute. Another experimental result showed that the Random Forest algorithm with the Canny operator achieved an accuracy of 81.51%, recall of 84.97%, precision of 86.8%, and an f1 score of 85.61% on the test dataset. Furthermore, the Random Forest algorithm with the Sobel operator achieved accuracy results of 78.4%, recall of 65.3%, precision of 62.3%, and an f1 score of 63.71%. In the SVM algorithms derivative, the Sigmoid SVM combined with the Scharr operator achieved the highest performance in its category across all classification metrics. In conclusion, this research offers valuable insights into classifying traditional Indonesian dishes using traditional machine learning algorithms. Simultaneously, this research aims to promote the appropriate and effective preservation and recognition of traditional Indonesian food.  \nKeywords—Traditional food; SVM; decision tree; random forest; segmentation; machine learning.  \nManuscript received 9 Feb. 2024; revised 5 Apr. 2024; accepted 19 Jun. 2024. Date of publication 31 Dec. 2024.  \nInternational Journal on Informatics Visualization is licensed under a Creative Commons Attribution-Share Alike 4.0 International License.  \nI. INTRODUCTION  \nIndonesia is renowned for its diverse traditional foods, each with unique flavors, ingredients, and cooking techniques. However, identifying these foods can be challenging due to appearance, texture, and presentation variations. To overcome this problem, we carried out a new approach by utilizing machine learning algorithms and several segmentation methods to accurately identify traditional Indonesian foods. This Indonesian gastronomy transcends a mere collection of meals; it embodies a profound cultural inheritance passed down from generation to generation. It serves as a tangible connection to the copious natural resources, diverse ethnic groups, and unique local customs found throughout the expansive archipelago of Indonesia. The culinary customs  \nencompass ingredients and recipes and encapsulate the centur","cbCaipQOqZjO6avW","https://ap.wps.com/l/cbCaipQOqZjO6avW","pdf",4434837,1,12,"English","en",105,"# Abstract\n# Introduction\n# Materials and Method\n## Materials\n## Method","[{\"question\":\"How many traditional food types are used in the experiments, and what is their source?\",\"answer\":\"The experiments use 34 types of conventional Indonesian traditional foods originating from various provinces in Indonesia.\"},{\"question\":\"Which segmentation methods are applied before classification?\",\"answer\":\"Segmentation is performed using Sobel, Prewitt, Robert, Scharr, and Canny filters.\"},{\"question\":\"Which model and segmentation combination provides the highest performance?\",\"answer\":\"Random Forest with Robert’s segmentation method achieves the highest performance, reaching 85.52% accuracy with strong recall, precision, and F1 results.\"}]","Identification of Indonesian Traditional Foods Using Machine Learning and Supported by Segmentation Methods | PDF",1785810444,30,{"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":86,"head_meta":88,"extra_data":90,"updated_unix":28},"identification-of-indonesian-traditional-foods-using-machine-learning-and-supported-by-segmentation-methods","",{"@graph":36,"@context":85},[37,54,68],{"@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/identification-of-indonesian-traditional-foods-using-machine-learning-and-supported-by-segmentation-methods/122399/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-04",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"How many traditional food types are used in the experiments, and what is their source?","Question",{"text":75,"@type":76},"The experiments use 34 types of conventional Indonesian traditional foods originating from various provinces in Indonesia.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"Which segmentation methods are applied before classification?",{"text":80,"@type":76},"Segmentation is performed using Sobel, Prewitt, Robert, Scharr, and Canny filters.",{"name":82,"@type":73,"acceptedAnswer":83},"Which model and segmentation combination provides the highest performance?",{"text":84,"@type":76},"Random Forest with Robert’s segmentation method achieves the highest performance, reaching 85.52% accuracy with strong recall, precision, and F1 results.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,122,127,130,134],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":29,"slug":121},"research-report",{"id":123,"doc_module":4,"doc_module_name":46,"category_name":124,"show_sort_weight":125,"slug":126},9,"Religion & Spirituality",20,"religion-spirituality",{"id":125,"doc_module":4,"doc_module_name":46,"category_name":128,"show_sort_weight":125,"slug":129},"World Cup","world-cup",{"id":131,"doc_module":4,"doc_module_name":46,"category_name":132,"show_sort_weight":131,"slug":133},10,"Lifestyle","lifestyle",{"id":135,"doc_module":4,"doc_module_name":46,"category_name":136,"show_sort_weight":106,"slug":137},19,"General","general"]