Journal of Systems Engineering and Information Technology (JOSEIT)最新文献

An Optimal Solution to the Overfitting and Underfitting Problem of Healthcare Machine Learning Models 医疗机器学习模型过拟合和欠拟合问题的最优解

Journal of Systems Engineering and Information Technology (JOSEIT) Pub Date : 2023-10-03 DOI: 10.29207/joseit.v2i2.5460

Anil Kumar Prajapati Anil, Umesh Kumar Singh

{"title":"An Optimal Solution to the Overfitting and Underfitting Problem of Healthcare Machine Learning Models","authors":"Anil Kumar Prajapati Anil, Umesh Kumar Singh","doi":"10.29207/joseit.v2i2.5460","DOIUrl":"https://doi.org/10.29207/joseit.v2i2.5460","url":null,"abstract":"In the current technological era, artificial intelligence is becoming increasingly popular. Machine learning, as the branch of AI is taking charge in every field such as healthcare, the Stock market, Automation, Robotics, Image Processing, and so on. In the current scenario, machine learning and/or deep learning are becoming very popular in medical science for disease prediction. Much research is underway in the form of disease prediction models by machine learning. To ensure the performance and accuracy of the machine learning model, it is important to keep some basic things in mind during training. The machine learning model has several issues which must be rectified duration of the training of the model so that the learning model works efficiently such as model selection, parameter tuning, dataset splitting, cross-validation, bias-variance tradeoff, overfitting, underfitting, and so on. Under- and over-fitting are the two main issues that affect machine learning models. This research paper mainly focuses on minimizing and/or preventing the problem of overfitting and underfitting machine learning models.","PeriodicalId":496970,"journal":{"name":"Journal of Systems Engineering and Information Technology (JOSEIT)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135689650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Performance Analysis of Mobile Ad-Hoc Networks Based on TCP and UDP Traffic on AODV Protocol for Warship Communication 舰船通信AODV协议下基于TCP和UDP流量的移动自组网性能分析

Journal of Systems Engineering and Information Technology (JOSEIT) Pub Date : 2023-09-17 DOI: 10.29207/joseit.v2i2.5343

None Alon Jala Tirta Segara, Afifah Dwi Ramadhani

{"title":"Performance Analysis of Mobile Ad-Hoc Networks Based on TCP and UDP Traffic on AODV Protocol for Warship Communication","authors":"None Alon Jala Tirta Segara, Afifah Dwi Ramadhani","doi":"10.29207/joseit.v2i2.5343","DOIUrl":"https://doi.org/10.29207/joseit.v2i2.5343","url":null,"abstract":"This research focuses on evaluating two key parameters in Mobile Ad-Hoc Networks (MANETs) that use the AODV protocol for warship communication, namely the packet delivery ratio (PDR) and end-to-end delay. PDR describes the percentage of data packets that successfully reach their destination without loss or damage during transmission. The study will analyze and compare PDR in MANETs with TCP and UDP traffic to understand the reliability and efficiency of the AODV protocol in data delivery. Furthermore, the research will also assess end-to-end delay, which measures the time it takes data packets to reach their final destination. Evaluating this delay will provide insights into the network's responsiveness in transmitting data between source and destination. The results of this research will offer valuable information about the performance of MANETs using the AODV protocol with TCP and UDP traffic. These findings can be used to optimize warship communication systems by selecting the most suitable protocol and traffic to achieve high PDR and minimal end-to-end delay; this study has the potential to serve as a critical foundation for developing reliable and efficient mobile ad hoc networks for military communication in dynamic and challenging environments.","PeriodicalId":496970,"journal":{"name":"Journal of Systems Engineering and Information Technology (JOSEIT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135258412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Monitoring System for Temperature and Humidity Sensors in the Production Room Using Node-Red as the Backend and Grafana as the Frontend 以Node-Red为后端，Grafana为前端的生产机房温湿度传感器监控系统

Journal of Systems Engineering and Information Technology (JOSEIT) Pub Date : 2023-09-17 DOI: 10.29207/joseit.v2i2.5222

Khoirul Anam, Difa Nur Rofi, Ruci Meiyanti

{"title":"Monitoring System for Temperature and Humidity Sensors in the Production Room Using Node-Red as the Backend and Grafana as the Frontend","authors":"Khoirul Anam, Difa Nur Rofi, Ruci Meiyanti","doi":"10.29207/joseit.v2i2.5222","DOIUrl":"https://doi.org/10.29207/joseit.v2i2.5222","url":null,"abstract":"The client from the TRIAS project is facing issues with a decrease in production quality or defective products. They require a monitoring system for temperature and humidity in the production area, providing real-time notifications in case of any anomalies in temperature and humidity. However, the project has a limited budget, which poses a challenge for the contractor in developing a monitoring system that tracks temperature and humidity changes using temperature and humidity sensors as the data source. It should also provide alarms if the temperature and humidity values exceed the standard values for the room. Additionally, the pricing offer should be adjusted using information technology. The research methodology used in this study includes qualitative methods such as observation, literature review, and interviews to gather data on the mentioned issues. The SWOT method is used to analyze business process problems, while the Waterfall method is employed for system development. Based on the research findings, the researcher concludes that this project requires cost reduction in material usage and also needs a data visualization application for the mentioned sensors. The visualization application system utilizes Grafana as the frontend, chosen for its high flexibility in processing. The temperature and humidity data obtained from the sensors will be recorded by Node-Red as the backend and synchronized on the server. The data stored on the server will be saved in a MySQL database. The data from the database will be synchronized with Grafana for processing and visualization, presenting the data in easily understandable graphical forms.","PeriodicalId":496970,"journal":{"name":"Journal of Systems Engineering and Information Technology (JOSEIT)","volume":"37 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135258409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Methods For Development Mobile Stunting Application: A Systematic Literature Review 开发移动发育不良应用的方法:系统的文献综述

Journal of Systems Engineering and Information Technology (JOSEIT) Pub Date : 2023-09-17 DOI: 10.29207/joseit.v2i2.5288

Hildamayanti Hildamayanti, None Dhani Ariatmanto

引用次数: 0

Overview and Exploratory Analyses of CICIDS 2017 Intrusion Detection Dataset CICIDS 2017入侵检测数据集综述与探索性分析

Journal of Systems Engineering and Information Technology (JOSEIT) Pub Date : 2023-09-17 DOI: 10.29207/joseit.v2i2.5411

Akinyemi Oyelakin, None Ameen A.O, None Ogundele T.S, None Salau-Ibrahim T, None Abdulrauf U.T, None Olufadi H.I, None Ajiboye I.K, None Muhammad-Thani S, None Adeniji I. A

{"title":"Overview and Exploratory Analyses of CICIDS 2017 Intrusion Detection Dataset","authors":"Akinyemi Oyelakin, None Ameen A.O, None Ogundele T.S, None Salau-Ibrahim T, None Abdulrauf U.T, None Olufadi H.I, None Ajiboye I.K, None Muhammad-Thani S, None Adeniji I. A","doi":"10.29207/joseit.v2i2.5411","DOIUrl":"https://doi.org/10.29207/joseit.v2i2.5411","url":null,"abstract":"Intrusion detection systems are used to detect attacks on a network. Machine learning (ML) approaches have been widely used to build such intrusion detection systems (IDSs) because they are more accurate when built from a very large and representative dataset. Recently, one of the benchmark datasets that are used to build ML-based intrusion detection models is the CICIDS2017 dataset. The data set is contained in eight groups and was collected from the Data Set & Repository of the Canadian Institute of Cyber Security. The data set is available in both PCAP and net flow formats. This study used the net flow records in the CIDIDS2017 dataset, as they were found to contain newer attacks, very large, and useful for traffic analysis. Exploratory data analysis (EDA) techniques were used to reveal various characteristics of the dataset. The general objective is to provide more insight into the nature, structure, and issues of the data set so as to identify the best ways to use it to achieve improved ML-based IDS models. Furthermore, some of the open problems that can arise from the use of the dataset in any machine learning-based intrusion detection systems are highlighted and possible solutions are briefly discussed. The EDA techniques used revealed important relationships between the input variables and the target class. The study concluded that the EDA can better influence the decision about future IDS research using the dataset.","PeriodicalId":496970,"journal":{"name":"Journal of Systems Engineering and Information Technology (JOSEIT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135258411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Acceleration and Clustering of Liver Disorder Using K-Means Clustering Method with Mahout’s Library 基于Mahout库的K-Means聚类方法对肝脏疾病的加速和聚类

Journal of Systems Engineering and Information Technology (JOSEIT) Pub Date : 2023-09-08 DOI: 10.29207/joseit.v2i2.5334

Tariq Bin Samer, Cahyo Darujati

引用次数: 0