Jurnal Info Sains : Informatika dan Sains最新文献

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Pattern Recognition in Medical Images Through Innovative Edge Detection with Robert's Method 通过罗伯特方法的创新边缘检测实现医学图像的模式识别

Jurnal Info Sains : Informatika dan Sains Pub Date : 2024-02-14 DOI: 10.54209/infosains.v14i01.4080

P. Simangunsong, Paska Marto Hasugian

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引用次数: 0

Pattern Recognition in Medical Images Through Innovative Edge Detection with Robert's Method 通过罗伯特方法的创新边缘检测实现医学图像的模式识别

Jurnal Info Sains : Informatika dan Sains Pub Date : 2024-02-14 DOI: 10.54209/infosains.v14i01.4080

P. Simangunsong, Paska Marto Hasugian

{"title":"Pattern Recognition in Medical Images Through Innovative Edge Detection with Robert's Method","authors":"P. Simangunsong, Paska Marto Hasugian","doi":"10.54209/infosains.v14i01.4080","DOIUrl":"https://doi.org/10.54209/infosains.v14i01.4080","url":null,"abstract":"This research introduces an innovative approach for pattern recognition in medical images through the application of Robert's edge detection method. Pattern recognition in medical images has great significance in disease diagnosis and patient care management. Edge detection is an important stage in image processing which aims to determine the boundaries of objects in the image. Robert's edge detection method is one of the classic methods that has been used in image processing. However, improving edge detection performance is needed to improve accuracy in pattern recognition in medical images. In this study, we propose a modified variation of Robert's method to increase the accuracy in finding edges in medical images. The proposed innovative approach is tested using a large and diverse medical image dataset. Evaluation is carried out by comparing the edge detection results using the conventional Robert method with the results using the proposed modified method. Quantitative analysis is carried out to measure the performance improvements achieved. Experimental results show that the modified Robert edge detection method produces significant improvements in precision and accuracy in finding edges in medical images. These results indicate that the proposed innovative approach has the potential to improve pattern recognition in medical images and can make valuable contributions in the diagnosis and management of diseases.","PeriodicalId":508149,"journal":{"name":"Jurnal Info Sains : Informatika dan Sains","volume":"27 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139778125","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

Efficiency Analysis of Compression Software (WINRAR and 7-Zip) Across Diverse Data Types on Windows 11 and Ubuntu 23.10 Windows 11 和 Ubuntu 23.10 上不同数据类型压缩软件（WINRAR 和 7-Zip）的效率分析

Jurnal Info Sains : Informatika dan Sains Pub Date : 2023-12-11 DOI: 10.54209/infosains.v13i03.3505

Rakha Maulana, Bahteramon Bintang, Sanjaya Manurung, Nathanael Berliano, Novanka Putra, Aqwam Rosadi Kardian, Politeknik Siber dan Rekayasa Kriptografi, Sandi Negara

{"title":"Efficiency Analysis of Compression Software (WINRAR and 7-Zip) Across Diverse Data Types on Windows 11 and Ubuntu 23.10","authors":"Rakha Maulana, Bahteramon Bintang, Sanjaya Manurung, Nathanael Berliano, Novanka Putra, Aqwam Rosadi Kardian, Politeknik Siber dan Rekayasa Kriptografi, Sandi Negara","doi":"10.54209/infosains.v13i03.3505","DOIUrl":"https://doi.org/10.54209/infosains.v13i03.3505","url":null,"abstract":"This paper presents a comprehensive analysis of the performance and efficiency of two widely used compression software, WINRAR and 7-Zip, across various data types. The study focuses on evaluating their effectiveness on different operating systems, specifically Windows 11 and Ubuntu 23.10. The analysis encompasses considerations such as compression ratios, resource utilization, and processing times. WINRAR and 7-Zip are examined in diverse scenarios, including the compression of text files (.txt), image files (.png), audio files (.flac), and video files (.mp4). The study reveals notable variations in compression outcomes influenced by intrinsic complexities of each file format. Moreover, the investigation extends beyond the initially studied operating systems, suggesting potential applications on other platforms like Kali Linux. The findings contribute insights into the nuanced performance of compression software across varied data types and operating environments, facilitating informed decision-making for users seeking optimal compression solutions.","PeriodicalId":508149,"journal":{"name":"Jurnal Info Sains : Informatika dan Sains","volume":"21 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139184001","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