Predicting the status of COVID-19 active cases using a neural network time series

Fuel is one of the needs that is used by the community as a material to be used on motorcycles or cars. Fuel has become an important need for society, because when there is no fuel, a motorbike or car that is owned by someone cannot be used. Each vehicle has its own fuel, for motorbikes the fuel is pertalite, Pertamax, Pertamax Turbo and for cars the fuel is diesel and dexlite. For the fuel used in motorbikes, there are some people who are interested in Pertalite fuel and there are not many people who are interested in Pertamax fuel. So researchers will make a study of public interest in Pertamax fuel. This research will be made using the neural network method by classifying community data in data mining. This study aims to see the public's interest in purchasing Pertamax fuel. The research process was carried out with the initial stages of collecting and selecting data to be used, then preprocessing, then designing the neural network method and finally the testing process to obtain classification results using the neural network method. The results obtained from data classification using the neural network method state that there are 23 people who are interested in Pertamax fuel and 18 people who are not interested in Pertamax fuel. It turns out that many people are interested in Pertamax fuel.

Section: Methodsmentioning

confidence: 99%

Analysis of the Neural Network Method to Determine Interest in Buying Pertamax Fuel

Sari

Yanris

Hasibuan

2023

“…The Neural Network method is a method with a classification model found in data mining that contains a group of probabilities that are fully connected and arranged in two or more layers (Almasinejad et al, 2022) (Khrisat & Alqadi, 2022). The author uses the method neural network, because this method can be superior for use as accuracy in data classification (Chai, Wong, Goh, Wang, & Wang, 2019).…”

Section: Methodsmentioning

confidence: 99%

Analysis of Community Satisfaction Levels using the Neural Network Method in Data Mining

Hasibuan,

Sihombing,

Nasution

2023

Data mining is a process that is carried out to extract data into information. There are several models that can be done in data mining, such as classification, association, clustering, regression. But in this study will be carried out using a classification model. Research conducted on the level of public satisfaction for shopping on the Lazada application. This study aims to determine the level of public satisfaction on the Lazada application. This research was also conducted because the goods sold on the Lazada application are quite cheap and when compared to the original price there is a considerable difference. Therefore, research was conducted on the level of community satisfaction on the Lazada application. This research will be conducted on data mining with a classification model and using the neural network method. The results obtained from the data mining process using 100 community data, the results obtained are 81 community data (representation obtained by 81%) of people who are satisfied shopping on the lazada application and by 19 (representation obtained by 19%) people who are not satisfied shop on the Lazada app. From these results, many people are satisfied with shopping on the Lazada app. So from the results of this classification it can be concluded that the goods sold on the Lazada application are good goods.

“…Neural network models are computational mathematical structures that contain a series of connected probabilities in a multi-layer structure, offering a comprehensive approach to data processing (Khrisat & Alqadi, 2022) (Anggriandi, Utami, & Ariatmanto, 2023). We use a neural network to predict purchasing interest, with the Orange application as the main tool in data processing (Almasinejad, Golabpour, Ahouz, Reza, & Meybodi, 2022) (Firdaus, Yunardi, Agustin, & Putri, 2020. In this research, the author uses a neural network model to analyze interview questions with the help of Chatbot on Google Collab.…”

Section: Literature Reviewmentioning

confidence: 99%

Chatbot Design for Interview Questions Using Neural Network Models on the CarTech Website

Sihotang,

Harahap,

Irmayanti

2024

This research focuses on analyzing interview questions using a neural network model, implemented on the CarTech website. With the main aim of optimizing the interaction between users and the system through the questions asked, this research takes an innovative step by utilizing Google Collab as a development platform. For this research, several paragraphs were carried out, namely problem scoping, data acquisition, data exploration, modeling, evaluation, and deployment. These stages were carried out so that this research could get good results, plus the integration between Google Collab and chatbot which made it possible for this research to get good results. Google Collab makes it easy to use neural network models and integrate with chatbots, enabling efficient and effective testing and deployment of models. The results of this study are quite impressive, with an accuracy of 92%, demonstrating the model's ability to process and understand interview questions with high precision. The aim of this research is not only to explore the potential of neural network models in automatically understanding questions and providing accurate responses, but also to show how this technology can be integrated into web applications to improve the quality of user interactions, making AI-based chatbots a viable solution and effective in improving user experience on the CarTech website. In conclusion, by utilizing AI you will also get good results. As in this research, AI can help analyze interview questions with neural network models.