[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-123185-en":3,"doc-seo-123185-105":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},123185,13056703019404,"Miles","https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0",8,"Research & Report","Machine learning classification analysis model community satisfaction with traditional market facilities as public service - Research Overview","Traditional markets function as public service facilities that support community buying and selling transactions, making satisfaction measurement essential for management and evaluation. This study builds a machine learning classification analysis model to assess community satisfaction with traditional market facilities using fuzzy logic, multiple linear regression (MRL), artificial neural networks (ANN), and decision trees (DT). Results show high accuracy (99.99%), with fuzzy logic generating 32 classification rule patterns and MRL indicating significant correlation (81.1%).","Machine learning classification analysis model community satisfaction with traditional market facilities as public service  \nHadi Syahputra1. Musli Yanto1. Muhammad Reza Putra1. Aulia Fitrul Hadi1. Selvi Zola Fenia2  \n1Faculty of Computer Science, Universitas Putra Indonesia YPTK, Padang, Sumatera Barat, Indonesia 2Faculty of Economics and Business, Universitas Putra Indonesia YPTK, Padang, Sumatera Barat, Indonesia  \nArticle history:  \nReceived Sep 7. 2022 Revised Jan 11. 2023 Accepted Mar 10. 2023  \nKeywords:  \nClassification analysis models  \nCommunity satisfaction Machine learning Public services Traditional markets  \nCorresponding Author:  \nTraditional markets are public service facilities that can be utilized by the community. The market function is used place where sellers and buyers meet in conducting transactions. This study aims to build a machine learning classification analysis model in measuring community satisfaction with traditional market facilities. The analytical methods used include Fuzzy. multiple linear regression (MRL), artificial neural network (ANN), and decision tree (DT) . Fuzzy is used to generate a pattern of rules in determining the level of satisfaction. MRL serves to measure and test the correlation of rules that have been formed. The ANN method is used to carry out the classification analysis process based on learning. In the final stage. DT is used to describe the decision tree of the analysis process. This study presents the results of machine learning analysis which is very good in determining satisfaction with an accuracy rate of 99 .99% . This result is influenced by fuzzy logic which can develop a classification rule pattern of 32 patterns. MRL also shows a significant correlation level of 81 . 1% based on the indicator variables. Overall, the machine learning classification analysis model can provide knowledge to be considered in the management of traditional markets as public service facilities.  \nThis is an open access article under the CC BY-SA license.  \nHadi Syahputra  \nDepartment of Computer Systems, Universitas Putra Indonesia YPTK Padang, Indonesia  \n[Email: hadisyahputra@upiyptk.ac.id](Email: hadisyahputra@upiyptk.ac.id)  \nArticle Info ABSTRACT  \n1. INTRODUCTION  \nA public service is a form of activity carried out by individuals and government organizations in meeting needs [1] . These public services involve the provision of public service facilities such as goods and services [2] . The provision of these service facilities basically must meet the standards that have been set by the applicable rules [3] . With the standards that have been determined. all elements of society can use these facilities together to meet needs [4] . One form of public service that provides services in accessing buying and selling transactions is the traditional market [5] . The market concept is a facility built for the sale and purchase of goods and services [6] .  \nTo be able to measure the level of satisfaction with public services in traditional markets, an analytical process is needed [7] . The analysis process in measuring the level of satisfaction is used as input in management and evaluation [8] . This satisfaction analysis is also used as a process of identifying the quality assessment of a service that has an impact on sustainability [9] . The assessments include security, cleanliness, and access to public services [10] . The market service analysis orientation can provide the achievement of targets for satisfaction with public services [11] . The need for analysis is carried out to see the gaps that occur such as service, friendliness, and security in transactions [12] . These results can be used as an assessment of the  \nsustainability of a market so that people do not move to the modern market that is developing at this time [13] . The form of the analysis process that has been carried out in measuring the level of community satisfaction using the concept of machine learning [14] . This c","cbCaivXRdRfv8Zqt","https://ap.wps.com/l/cbCaivXRdRfv8Zqt","pdf",895280,1,11,"English","en",105,"# Introduction\n## Public services and traditional markets\n## Satisfaction measurement and analysis needs\n## Role of machine learning and fuzzy logic\n## Research motivation and supporting methods","[{\"question\":\"What is the main goal of this study?\",\"answer\":\"To build a machine learning classification analysis model that measures community satisfaction with traditional market facilities as public service facilities.\"},{\"question\":\"Which machine learning methods are used and what roles do they play?\",\"answer\":\"Fuzzy logic generates satisfaction rules, MRL measures and tests correlation of formed rules, ANN performs classification based on learning, and DT describes the resulting decision tree.\"},{\"question\":\"How effective is the proposed model?\",\"answer\":\"The model achieves very high accuracy of 99.99%, supported by fuzzy logic rule patterns (32 patterns) and an MRL significant correlation level of 81.1%.\"}]","Machine learning classification analysis model community satisfaction with traditional market facilities as public service - Research Overview | PDF",1785815095,28,{"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},"machine-learning-classification-analysis-model-community-satisfaction-with-traditional-market-facilities-as-public-service-research-overview","",{"@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/machine-learning-classification-analysis-model-community-satisfaction-with-traditional-market-facilities-as-public-service-research-overview/123185/",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},"What is the main goal of this study?","Question",{"text":75,"@type":76},"To build a machine learning classification analysis model that measures community satisfaction with traditional market facilities as public service facilities.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"Which machine learning methods are used and what roles do they play?",{"text":80,"@type":76},"Fuzzy logic generates satisfaction rules, MRL measures and tests correlation of formed rules, ANN performs classification based on learning, and DT describes the resulting decision tree.",{"name":82,"@type":73,"acceptedAnswer":83},"How effective is the proposed model?",{"text":84,"@type":76},"The model achieves very high accuracy of 99.99%, supported by fuzzy logic rule patterns (32 patterns) and an MRL significant correlation level of 81.1%.","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},[93,97,101,105,110,115,120,123,128,131,135],{"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":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":46,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":46,"category_name":137,"show_sort_weight":106,"slug":138},19,"General","general"]