Matics: Jurnal Teknik Informatika最新文献

Performance Analysis of Devops Practice Implementation Of CI/CD Using Jenkins 使用Jenkins实现CI/CD的Devops实践性能分析

Matics: Jurnal Teknik Informatika Pub Date : 2023-10-24 DOI: 10.18860/mat.v15i2.17091

Rismanda Kusumadewi, Ronald Adrian

引用次数: 0

Development of Web-Based Teleoperation VOCAFE Service Robot 基于web的远程操作VOCAFE服务机器人的开发

Matics: Jurnal Teknik Informatika Pub Date : 2023-10-24 DOI: 10.18860/mat.v15i2.23754

Rachmad Andri Atmoko, Zikrie Pramudia Alfarhisi

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The Implementation of Semantic Annotation Recognizing Technique in the Scraper Engine on the E-Publishing Website of the National Research and Innovation Agency (BRIN) Indonesia 刮刀引擎中语义标注识别技术在印尼国家研究与创新署电子出版网站上的实现

Matics: Jurnal Teknik Informatika Pub Date : 2023-10-24 DOI: 10.18860/mat.v15i2.23755

Muhammad Izzun Ni'am, Muhammad Haris Frimansyah, Zikrie Pramudia Alfarhisi

{"title":"The Implementation of Semantic Annotation Recognizing Technique in the Scraper Engine on the E-Publishing Website of the National Research and Innovation Agency (BRIN) Indonesia","authors":"Muhammad Izzun Ni'am, Muhammad Haris Frimansyah, Zikrie Pramudia Alfarhisi","doi":"10.18860/mat.v15i2.23755","DOIUrl":"https://doi.org/10.18860/mat.v15i2.23755","url":null,"abstract":"The increasing need for swift information dissemination in line with modern technological advancements has emphasized the importance and significant impact of data analysis and processing as relevant academic disciplines. These processes encompass data acquisition from various sources, either through direct collection or extraction methods. Among the most crucial and widely utilized techniques for extracting data from the internet is web scraping, particularly when gathering data for research maintenance during the consolidation of multiple institutions into BRIN (National Research and Innovation Agency). Challenges emerge in effectively integrating existing research into a unified system without proper upkeep, as neglecting maintenance can lead to system degradation and hinder access to stored research. Successful maintenance necessitates centralized repositories for researchers' work data. The implementation of semantic annotation recognizing techniques within the web scraping feature of the E-Publishing website holds the potential to expedite this process. The use of web scraping promises to significantly simplify research data collection, while semantic annotation recognizing techniques are poised to streamline implementation, particularly due to the XML data foundation within the Open Archives Initiative (OAI) system. In the context of institution merging and research sustainability, technologies like web scraping and semantic annotation recognizing play pivotal roles in addressing these challenges.","PeriodicalId":497787,"journal":{"name":"Matics: Jurnal Teknik Informatika","volume":"2015 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135273296","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

DESIGNING E-BUKHARY SHOP APPLICATION USING THE BUSINESS TO-BUSINESS (B2B) MODEL BASED ON A WEBSITE 使用基于网站的企业对企业(b2b)模型设计电子书店应用程序

Matics: Jurnal Teknik Informatika Pub Date : 2023-10-23 DOI: 10.18860/mat.v15i2.23377

Rusman RM, Ihwana As’ad, Erick Irawadi Alwi

{"title":"DESIGNING E-BUKHARY SHOP APPLICATION USING THE BUSINESS TO-BUSINESS (B2B) MODEL BASED ON A WEBSITE","authors":"Rusman RM, Ihwana As’ad, Erick Irawadi Alwi","doi":"10.18860/mat.v15i2.23377","DOIUrl":"https://doi.org/10.18860/mat.v15i2.23377","url":null,"abstract":"Ongoing technological developments have brought progress in the form of online sales applications. This online sales technology is often also referred to as E-Commerce. Services at the Sinar Bukhari Store for resellers who want to buy goods are still manual and simple, the sales process still uses the WhatsApp group, making it difficult for resellers and also for the shop if there are purchases of goods simultaneously. Resellers also have trouble ordering if the admin they contact is inactive, if new items are sent via the WhatsApp group, the old items will be buried in the group, making it difficult for resellers to order items that have been stockpiled. Then the solution to the problem where the E-Bukhary shop application will be made with a website-based business to business (B2B) model uses the application of prototyping techniques which make plans quickly and gradually so that potential users tend to be quickly assessed. In the E-bukhary shop application, there is a shop feature that involves admins and resellers to simplify the sales process according to the items available. through trials using black box testing in terms of interface scale 1-5 the value is 88% with very good assessment criteria, in terms of application performance a score of 88.8% is included, including very good criteria. in terms of the application database, a score of 86.6% was generated which included very good assessment criteria, then on the missing or damaged application function aspect, a value of 90% was produced in very good criteria, the last on the termination aspect resulted in a value of 86.2% or in very good criteria","PeriodicalId":497787,"journal":{"name":"Matics: Jurnal Teknik Informatika","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135413960","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

Comparative Analysis of Kidney Disease Detection Using Machine Learning 利用机器学习进行肾脏疾病检测的比较分析

Matics: Jurnal Teknik Informatika Pub Date : 2023-10-23 DOI: 10.18860/mat.v15i2.21468

MOHAMMAD DIQI, I WAYAN ORDIYASA, MARSELINA ENDAH HISWATI

引用次数: 0

Utilizing the K-Means Algorithm for Breast Cancer Diagnosis: A Promising Approach for Improved Early Detection 利用k -均值算法进行乳腺癌诊断:一种改善早期检测的有希望的方法

Matics: Jurnal Teknik Informatika Pub Date : 2023-10-23 DOI: 10.18860/mat.v15i2.23644

Nur Fitriyah Ayu Tunjung Sari, Maharini Nabela, Muhammad Falah Abdurrohman

{"title":"Utilizing the K-Means Algorithm for Breast Cancer Diagnosis: A Promising Approach for Improved Early Detection","authors":"Nur Fitriyah Ayu Tunjung Sari, Maharini Nabela, Muhammad Falah Abdurrohman","doi":"10.18860/mat.v15i2.23644","DOIUrl":"https://doi.org/10.18860/mat.v15i2.23644","url":null,"abstract":"Breast cancer is a pressing non-communicable disease, especially affecting women, with its incidence on the rise. In 2020, it ranked among the most common cancers in Indonesia. Timely detection and precise diagnosis are pivotal for effective breast cancer management. To enhance diagnostic accuracy, the K-means clustering method is applied to group patients based on shared attributes. This research aims to contribute significantly to breast cancer diagnosis by leveraging the K-means method, potentially improving patient survival rates.The research process involves data collection, preprocessing, K-means application, evaluation, and visualization. A dataset of 569 breast cancer patient records with 32 attributes from Kaggle is utilized. The K-Means algorithm is assessed using accuracy, yielding a value of 0.8457, signifying good performance. Malignant cases (211) and benign cases (301) are visualized in a scatter plot, distinguishing between them.In conclusion, this study presents an initial step in utilizing the K-means algorithm for breast cancer diagnosis, offering promising results. Further research and the development of more advanced models are imperative to address the global health challenge posed by breast cancer among women.Index Terms—breast cancer; clustering; K-Means Algorithm","PeriodicalId":497787,"journal":{"name":"Matics: Jurnal Teknik Informatika","volume":"29 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135413841","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