Analysis K-Nearest Neighbor Method in Classification of Vegetable Quality Based on Color

Putra, Purwa Hasan; Novelan, Muhammad Syahputra; Rizki, Muhammad

doi:10.37385/jaets.v3i2.763

Cited by 5 publications

(5 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…and village race. Then there are also other studies that apply the k-NN algorithm, namely the analysis of the K-Nearest Neighbor methode in the classification of iris data [6], but the object under study is different from the object used by the author.…”

Section: Introductionmentioning

confidence: 99%

Implementation of the K-Nearst Neighbor (k-NN) Algorithm in Classification of Angora and Country Cats

Andriana,

Wisnumurti,

Lestari

et al. 2023

JAIS

View full text Add to dashboard Cite

There are so many types of mixed cats from various cat breeds, so many people find it difficult to identify and classify them. Therefore, we need a method that can classify the type of cat breeds. In this study the authors used the K-Nearest Neighbor (k-NN) algorithm to make it easier to recognize and classify cat breeds based on certain characteristics. The author took samples of 2 types of cat races, namely the Anggora race and the Kampung race. The implementation stage is to determine the euclidean distance and sort it and then determine the value of K to find the nearest neighbor. In testing, the authors used 50 training data and 50 test data with 6 attributes used, namely body shape, nose width, nose height, food type, hair type and hair length. The results of the classification of cat breeds using the k-NN method obtained an accuracy rate of 94% and an error rate of 6%.

show abstract

Section: Introductionmentioning

confidence: 99%

Implementation of the K-Nearst Neighbor (k-NN) Algorithm in Classification of Angora and Country Cats

Andriana,

Wisnumurti,

Lestari

et al. 2023

JAIS

View full text Add to dashboard Cite

show abstract

“…However, with the convenience of having a doctor or midwife, sometimes there are also weaknesses, such as limited working hours (practice) and the number of patients who have to wait in long queues at no small cost or because of long distances (Ramadhanti & Eviyanti, 2021) (Gozzal & Indarti, 2017). In this case, parents need an expert who can make it easier to diagnose the disease early so that they can take early prevention (Yanto et al, 2017;Irawan et al, 2022;Putra et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Expert System For Diagnosing Diseases in Toddlers Using The Certainty Factor Method

Saputra

Utami

Edriyansyah

et al. 2022

JAETS

View full text Add to dashboard Cite

Disease is an abnormal condition in the body that causes body misalignment. There are various types of diseases that threaten humans, both parents and children. This disease can be caused by germs, bacteria, viruses, toxins, organ failure to function, and also by inherited/hereditary diseases. The difficulty of parents to find out the disease suffered by their children is one of the problems of parents today. So, we need a system to help with this predicament. The purpose of making this application is to provide information quickly and accurately in solving problems to help consult about diseases in toddlers aged 0-5 years. In addition, to find out ways to make programs that are expert systems using programming languages for artificial intelligence applications, namely PHP and Mysql, the certainty factor method is applied in web form. Using the certainty factor method is a decision-making strategy that starts from the section premise to conclusion. The result of system implementation is that the user chooses from the symptoms that already exist in the system based on the existing symptoms then processed, from the process the system provides information on diseases in children suffered by toddlers. From the results of testing this expert system has been able to diagnose diseases in children. After the diagnosis, the types of diseases and solutions will appear. Diagnosing disease in children by using this certainty factor is expected to make it easier to diagnose disease in children

show abstract

“…Machine Learning (ML) or machine learning is an approach in the Science of Science (Artificial Intelligence) which is widely used to replace or imitate the role of humans in resolving a problem or work by doing an automatization (Vinuesa & Brunton, 2022;Putra et al, 2022). The use of the microcontroller and the circuit is as a media base for taking input, data processing and displaying the results on the web as output viewers in the form of body fat percentages (Iswanto et al, 2022;Chandra & Putro, 2022;Schölkopf, 2022;Henry et al, 2022;Rahayu, 2020).…”

Section: Introductionmentioning

confidence: 99%

Application of Pregnant Mom's Diet Based on Raspberry PI Using Telegram Chatbot

Wahyuni

Ammar

Anggraeni

2022

JAETS

View full text Add to dashboard Cite

A healthy and regular diet is needed to maintain the body's immunity, the benefits that can be used for mothers and fetuses to help in the growth and development of the fetus in the mother's womb so that the eating patterns that are consumed must have good quality and nutrition, because good diet can be increase the development of the fetus while in the womb, so it is necessary to make an application with the aim of providing information on a dietary pattern of raspberry-based pregnant women using the telegram chatbot. In this study using the Software Development Life Cycle (SDLC) method where this method has a plan in the form of planning, analysis (analysis), design (design), implementation (implements) and management (maintenance). The results of this study use the telegram chatbot as a medium of information that can be delivered easily because the working principle of the chatbot on the telegram has a button feature that makes it easier for user friendly-based use so as to reduce the system error. Users will get results in the form of a PDF document (information on diet, nutritional content, and examples of foods that can be consumed) or images of good solutions and nutrition so that they can be downloaded easily through mobile phones with a minimum specification in the form of Android and Notebook and Personal Computer (PC).

show abstract

Analysis K-Nearest Neighbor Method in Classification of Vegetable Quality Based on Color

Cited by 5 publications

References 17 publications

Implementation of the K-Nearst Neighbor (k-NN) Algorithm in Classification of Angora and Country Cats

Implementation of the K-Nearst Neighbor (k-NN) Algorithm in Classification of Angora and Country Cats

Expert System For Diagnosing Diseases in Toddlers Using The Certainty Factor Method

Application of Pregnant Mom's Diet Based on Raspberry PI Using Telegram Chatbot

Contact Info

Product

Resources

About