[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-121229-en":3,"doc-seo-121229-105":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},121229,7971461740909,"Levi","https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d",8,"Research & Report","Machine Learning-based Characteristic Identification of MSG Content in Gravy Foods","Monosodium Glutamate (MSG) is a sodium salt related to glutamic acid and is widely used as a cooking flavoring additive. This research builds a machine-learning approach to detect MSG levels in soupy/gravy foods. Naive Bayes classifier modeling in Python is combined with a photodiode sensor circuit using Arduino Nano, an RGB LED, push button, and resistor. Light-source color changes the sensor readings, while higher MSG amounts increase photodiode values. Reported accuracy reaches 83.6%.","Machine learning-based characteristic  \nidentification of MSG content in gravy foods  \nPhisca Aditya Rosyady1*, Nurina Umy Habibah2, Masita 1, Anton Yudhana 1  \n1Department of Electrical Engineering, Universitas Ahmad Dahlan, Bantul, Daerah Istimewa Yogyakarta, Indonesia  \n2Department of Health Nutrition, Universitas Gadjah Mada, Yogyakarta, Daerah Istimewa Yogyakarta, Indonesia  \nAbstract. Monosodium Glutamate (MSG) is a sodium salt that binds to amino acids in the form of glutamic acid, widely used as an additive in cooking as a flavoring. Therefore, this research aims to detect the level of MSG content in soupy foods using Machine Learning. This research determines the identification of MSG using the Machine Learning method Naive Bayes classifier algorithm in Python software. This tool determines the identification of MSG dissolved in water using a Photodioda sensor, push button, RGB LED, Arduino Nano and Resistor. From the research obtained the results that the color of the light source affects the sensor reading value. Sensor value readings based on different light sources have the same pattern, but different values. The difference in sensor value is caused by the effect of LED color on specimen color. The more MSG used, the greater the photodiode sensor reading value. Based on this research, the  \naccuracy value is 83.6% .  \n1 Introduction  \nIn the development of science and technology with an impact in various changes in lifestyle and community needs. One of them is the change in consumption patterns in the community tends to want delicious food in a practical way. Therefore, for the use of food additives that are very widely used L-acid glutamate compounds in the form of its salt, namely Monosodium Glutamate (MSG) . On average, many people in Indonesia consume around 30 grams of MSG [1] . Monosodium Glutamate (MSG) is widely used to add flavor to food, consuming MSG in the long term can have adverse effects on the health of the human body such as damaging the brain, damaging reproductive function, liver, kidneys [2] .  \nAccording to this study Monosodium Glutamate (MSG) has many characteristics when using fast food ingredients not from natural ingredients, it will be fatal to the health of the body, especially the nerves of the brain. If most use MSG can be dangerous. The content of glutamic acid has the highest portion in food, so in the process of cooking food there is no need to add MSG cooking flavoring. Many housewives state that if the dish does not use artificial flavoring or MSG, the taste of the dish will be less delicious and are accustomed to  \n* [Corresponding author: phisca.aditya@te.uad.ac.id](Corresponding author: phisca.aditya@te.uad.ac.id)  \n© The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 ([https://creativecommons.org/licenses/by/4.0/](https://creativecommons.org/licenses/by/4.0/)).  \nBIO Web of Conferences 148, 04019 (2024) ICoBEAF 2024  \n[https://doi.org/10.1051/bioconf/202414804019](https://doi.org/10.1051/bioconf/202414804019)  \nadding MSG to the dish [3] . So, in order to avoid problems with health it is better to reduce the use of MSG [4] . Naive Bayes is a method that can be used to predict based on certain samples and is efficient in the data classification process, so as to reduce errors in data collection [5] . Bayesian is used to generate data retrieval estimates on soupy dishes by combining estimates from samples and other existing information. This data retrieval method has a learning process based on training data, using conditional probability as its basis [6] . The success rate of this method is highly dependent on the initial knowledge provided. The naive bayes classifier (NBC) method is a method used for text classification. Where NBC uses probability theory as a basic part of the theory. In his book, Han, J. And Kamber, M. Which states: \"Bayesian classifiers have a high level of speed","cbCaidbTQjOwudgJ","https://ap.wps.com/l/cbCaidbTQjOwudgJ","pdf",1722733,1,10,"English","en",105,"# Abstract\n# Introduction\n# Material and Methods\n## Object","[{\"question\":\"What is the goal of this research on MSG?\",\"answer\":\"To detect and identify the level of Monosodium Glutamate (MSG) in gravy/soupy foods using a machine learning approach.\"},{\"question\":\"Which machine learning method is used for MSG identification?\",\"answer\":\"The Naive Bayes classifier algorithm is used for the MSG recognition stage.\"},{\"question\":\"How do the photodiode sensor readings relate to MSG content?\",\"answer\":\"The sensor readings change with the light-source color, follow the same overall pattern across sources, and increase as more MSG is used, producing higher photodiode sensor values.\"}]","Machine Learning-based Characteristic Identification of MSG Content in Gravy Foods | PDF",1785734451,25,{"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-based-characteristic-identification-of-msg-content-in-gravy-foods","",{"@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-based-characteristic-identification-of-msg-content-in-gravy-foods/121229/",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","2026-08-03",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 goal of this research on MSG?","Question",{"text":75,"@type":76},"To detect and identify the level of Monosodium Glutamate (MSG) in gravy/soupy foods using a machine learning approach.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"Which machine learning method is used for MSG identification?",{"text":80,"@type":76},"The Naive Bayes classifier algorithm is used for the MSG recognition stage.",{"name":82,"@type":73,"acceptedAnswer":83},"How do the photodiode sensor readings relate to MSG content?",{"text":84,"@type":76},"The sensor readings change with the light-source color, follow the same overall pattern across sources, and increase as more MSG is used, producing higher photodiode sensor values.","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},[93,97,101,105,110,115,120,123,128,131,134],{"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":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":21,"doc_module":4,"doc_module_name":46,"category_name":132,"show_sort_weight":21,"slug":133},"Lifestyle","lifestyle",{"id":135,"doc_module":4,"doc_module_name":46,"category_name":136,"show_sort_weight":106,"slug":137},19,"General","general"]