Buana Information Technology and Computer Sciences (BIT and CS)最新文献_第2页

Liver Disease Prediction Model Based on Oversampling Dataset with RFE Feature Selection using ANN and AdaBoost algorithms 基于ANN和AdaBoost算法的RFE特征选择的过采样数据集肝病预测模型

Buana Information Technology and Computer Sciences (BIT and CS) Pub Date : 2023-07-27 DOI: 10.36805/bit-cs.v4i2.5565

Ahmed sami Jaddoa, Samah J. Saba, Elaf A.Abd Al-Kareem

{"title":"Liver Disease Prediction Model Based on Oversampling Dataset with RFE Feature Selection using ANN and AdaBoost algorithms","authors":"Ahmed sami Jaddoa, Samah J. Saba, Elaf A.Abd Al-Kareem","doi":"10.36805/bit-cs.v4i2.5565","DOIUrl":"https://doi.org/10.36805/bit-cs.v4i2.5565","url":null,"abstract":"Liver disease counts are one of the most prevalent diseases all over the world and they are becoming very common these days and can be dangerous. Liver diseases are increasing all over the world due to different factors such as excess alcohol consumption, drinking contaminated water, eating contaminated food, and exposure to polluted air. The liver is involved in many functions related to the human body and if not functioned properly can affect the other parts too. Predication of the disease at an earlier stage can help reduce the risk of severity. This paper implemented oversampling dataset, feature selecting attributes, and performance analysis for the improvement of the accuracy of classification of liver patients in 3 phases. In the first phase, the z-score normalization algorithm has been implemented to the original liver patient data-sets that has been collected from the UCI repository and then works on oversampling the balanced dataset. In the second phase, feature selection of attributes is more important by using RFE feature selection. In the third phase, classification algorithms are applied to the data-set. Finally, evaluation has been performed based upon the values of accuracy. Thus, outputs shown from proposed classification implementations indicate that ANN algorithm performs better than AdaBoost algorithm with the help of feature selection with a 92.77% accuracy","PeriodicalId":389042,"journal":{"name":"Buana Information Technology and Computer Sciences (BIT and CS)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126640906","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

A Philosophical Study of Agricultural Image Processing Techniques 农业图像处理技术的哲学研究

Buana Information Technology and Computer Sciences (BIT and CS) Pub Date : 2023-07-27 DOI: 10.36805/bit-cs.v4i2.3712

Valarmathi J, Kruthika V T

引用次数: 0

The Cardiovascular Disease Prediction Using Machine Learning 利用机器学习进行心血管疾病预测

Buana Information Technology and Computer Sciences (BIT and CS) Pub Date : 2023-01-31 DOI: 10.36805/bit-cs.v4i1.3060

S. Pandey

{"title":"The Cardiovascular Disease Prediction Using Machine Learning","authors":"S. Pandey","doi":"10.36805/bit-cs.v4i1.3060","DOIUrl":"https://doi.org/10.36805/bit-cs.v4i1.3060","url":null,"abstract":"Because of technology developments, the ECG yields improved outcomes in the realm of biomedical science and research. The Electrocardiogram reveals basic the heart's electrical activity. Early detection of aberrant heart disorders is crucial for diagnosing cardiac problems and averting sudden cardiac deaths. Measurements on an electrocardiogram (ECG) among people with comparable cardiac issues are essentially equal. Analyzing the Electrocardiogram characteristics can help predict abnormalities. Medical professionals presently base the preponderance of their Electrocardiogram diagnosis on their unique particular areas of expertise, which places a substantial load on their shoulders and reduces their performance. The use of technology that automatically analyses ECGs as hospital personnel performs their duties will be advantageous. A suitable algorithm must be able to categories Input signal with uncertain awesome feature on just how much they approximate Input signal having known characteristics in order to speed up the identification of heart illnesses. A possibility of identifying a tachycardia is raised if this predictor can reliably recognize connections, and this technique may be helpful in lab settings. To accurately diagnose myocardial illness, a powerful machine learning technique should be used. Through using recommended method, the effectiveness of cardiovascular disease identification using ECG dataset was evaluated. The reliability, sensitivities, and validity obtained using the Svm algorithm were 99.314%, 97.60%, and 97.60% respectively.","PeriodicalId":389042,"journal":{"name":"Buana Information Technology and Computer Sciences (BIT and CS)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123199958","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

Detecting Harmful Activity in Pilgrimage Using Deep Learning 利用深度学习检测朝圣中的有害活动

Buana Information Technology and Computer Sciences (BIT and CS) Pub Date : 2023-01-31 DOI: 10.36805/bit-cs.v4i1.2929

M. Genemo

引用次数: 0

The Critical Path Method In Management Information System of Contractor Service Company Using Incremnetal Model 基于增量模型的承包商服务公司管理信息系统关键路径方法

Buana Information Technology and Computer Sciences (BIT and CS) Pub Date : 2023-01-14 DOI: 10.36805/bit-cs.v4i1.2770

Hamim Tohari, A. Kudhori, H. Pandowo

引用次数: 0

An Enhanced Bio-Inspired Aco Model For Fault-Tolerant Networks 容错网络的增强仿生蚁群模型

Buana Information Technology and Computer Sciences (BIT and CS) Pub Date : 2023-01-14 DOI: 10.36805/bit-cs.v4i1.3040

Samuel Lusweti, C. Odoyo, Dorothy A. Rambim

{"title":"An Enhanced Bio-Inspired Aco Model For Fault-Tolerant Networks","authors":"Samuel Lusweti, C. Odoyo, Dorothy A. Rambim","doi":"10.36805/bit-cs.v4i1.3040","DOIUrl":"https://doi.org/10.36805/bit-cs.v4i1.3040","url":null,"abstract":"This research mainly aimed at establishing the current functionality of computer network systems, evaluating the causes of network faults, and developing an enhanced model based on the existing ACO model to help solve these network issues. The new model developed suggests ways of solving packet looping and traffic problems in common networks that use standard switches. The researcher used simulation as a method of carrying out this research whereby an enhanced algorithm was developed and used to monitor and control the flow of packets over the computer network. The researcher used an experimental research design that involved the development of a computer model and collecting data from the model. The traffic of packets was monitored by the Cisco Packet Tracer tool in which a network of four computers was created and used to simulate a real network system. Data collected from the simulated network was analyzed using the ping tool, observation of the movement of packets in the network and message delivery status displayed by the Cisco Packet Tracer. In the experiment, a control was used to show the behavior of the network in ideal conditions without varying any parameters. Here, all the packets sent were completely and correctly received. Secondly, when a loop was introduced in the network it was found that the network was adversely affected because for all packets sent by the computers on the network, none of them was delivered due to stagnation of packets. In the third experiment, still, with the loops on, a new ACO model was introduced in the cisco packet tracer used to simulate the network. In this experiment, all the packets sent were completely and correctly delivered just like in the control experiment.","PeriodicalId":389042,"journal":{"name":"Buana Information Technology and Computer Sciences (BIT and CS)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133862147","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

Coastal Batik Motifs Identification Using K-Nearest Neighbor Based on The Grey Level Co-occurrence Method 基于k近邻灰色共生法的海岸蜡染图案识别

Buana Information Technology and Computer Sciences (BIT and CS) Pub Date : 2023-01-03 DOI: 10.36805/bit-cs.v4i1.3342

Wresti Andriani, Gunawan, Sawaviyya Anandianskha

引用次数: 0

Village Government Readiness Toward the Adoption of E-Government 乡村政府对电子政务采用的准备程度

Buana Information Technology and Computer Sciences (BIT and CS) Pub Date : 2023-01-03 DOI: 10.36805/bit-cs.v4i1.3241

Rini Mayasari, Nono Heryana, Agustia Hananto

引用次数: 0

Retraction: Time Series Based Gene Expression Profiling Algorithm for Stomach Cancer Diagnosis 撤回:基于时间序列的胃癌基因表达谱分析算法

Buana Information Technology and Computer Sciences (BIT and CS) Pub Date : 2022-09-01 DOI: 10.36805/bit-cs.v3i2.2426

T. Abuya, B. Priyatna

引用次数: 0

Systematic Literature Review Implementation of the Internet of Things (IoT) in Smart City Development 系统文献综述物联网在智慧城市发展中的应用

Buana Information Technology and Computer Sciences (BIT and CS) Pub Date : 2022-08-31 DOI: 10.36805/bit-cs.v3i2.2762

Gunawan, Wilda Shabrina, Wresti Andriani

{"title":"Systematic Literature Review Implementation of the Internet of Things (IoT) in Smart City Development","authors":"Gunawan, Wilda Shabrina, Wresti Andriani","doi":"10.36805/bit-cs.v3i2.2762","DOIUrl":"https://doi.org/10.36805/bit-cs.v3i2.2762","url":null,"abstract":"Internet of Things (IoT) \"The smart city concept has become a dream that big cities in Indonesia want to achieve, basically the smart city concept focuses on developing the human element using technology. IoT opens up many opportunities for new services by connecting the physical world and the virtual world to various electronic devices. IoT aims to leverage cutting-edge technology to support sustainable services for governments and their citizens. Systematic Literature Review (SLR) is one method in conducting an overview of previous interrelated researchers. The purpose of the literature study in this research is to understand trending research topics, methods, and architecture in the development of smart cities with IoT. In this study, various interesting information was found in various research journals regarding the role of IoT in building a smart city that has a role to serve smart city infrastructure, identify and analyze trends, develop smart cities and become innovations for IoT. Based on the research, there are things that need to be done to improve the study to focus more on the role of IoT that can be more utilized. IoT is also one of the technologies that are widely used in several countries in the development of IoT in the future. IoT in smart cities will become an inseparable technology because humans will increasingly depend on IoT in their daily lives","PeriodicalId":389042,"journal":{"name":"Buana Information Technology and Computer Sciences (BIT and CS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126081956","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