Journal Of Computer Networks, Architecture and High Performance Computing最新文献_第2页

Implementation of 3D Animation Video-Based Learning Media in the Introduction of Silat Martial Arts in the Brotherhood of Setia Hati Terate (PSHT) 在 Setia Hati Terate 兄弟会（PSHT）介绍西拉特武术时采用基于三维动画视频的学习媒体

Journal Of Computer Networks, Architecture and High Performance Computing Pub Date : 2024-07-02 DOI: 10.47709/cnahpc.v6i3.4003

Rifaldi Arridho Sahputra, Nasib Marbun

{"title":"Implementation of 3D Animation Video-Based Learning Media in the Introduction of Silat Martial Arts in the Brotherhood of Setia Hati Terate (PSHT)","authors":"Rifaldi Arridho Sahputra, Nasib Marbun","doi":"10.47709/cnahpc.v6i3.4003","DOIUrl":"https://doi.org/10.47709/cnahpc.v6i3.4003","url":null,"abstract":"Persaudaraan Setia Hati Terate (PSHT) is one of the organizations that has an important role in the development and preservation of martial arts in Indonesia. Saifullah An-Nahdliyah Islamic Boarding School is one of the educational institutions that organizes the teaching of martial arts of the Persaudaraan Setia Hati Terate (PSHT). However, in the learning process applied to the introduction of martial arts Silat Persaudaraan Setia Hati Terate at Saifullah An-Nahdliyah Islamic Boarding School, there are still problems that can affect the effectiveness of Silat martial arts learning for students, namely the unavailability of learning media that supports other than direct training at Saifullah An-Nahdliyah Islamic Boarding School. This study aims to implement 3D animation video-based learning media in the introduction of martial arts of the Setia Hati Terate Brotherhood at Saifullah An-Nahdliyah Islamic Boarding School. The data collection techniques used to obtain the research data needed in this study are observation techniques, interviews, documentation, and literature studies. 3D animation video for learning media introduction to martial arts Pencak Silat Persaudaraan Setia Hati Terate at Saifullah An-Nahdliyah Islamic Boarding School is made using Blender application. The concept of 3D animation video made in this research is to present the introduction of martial arts by making moving characters, which can be accessed offline.","PeriodicalId":15605,"journal":{"name":"Journal Of Computer Networks, Architecture and High Performance Computing","volume":"29 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141684615","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

Visual Basic.Net Based Library Information System 基于 Visual Basic.Net 的图书馆信息系统

Journal Of Computer Networks, Architecture and High Performance Computing Pub Date : 2024-07-02 DOI: 10.47709/cnahpc.v6i3.4035

Appril Cillia Pasaribu, Nasib Marbun

引用次数: 0

The Prediction of Thyroid Cancer Recurrence with the XGBoost Method: The Clinicopathological Feature-Based Approach 用XGBoost方法预测甲状腺癌复发：基于临床病理特征的方法

Journal Of Computer Networks, Architecture and High Performance Computing Pub Date : 2024-07-02 DOI: 10.47709/cnahpc.v6i3.4101

T. Alawiyah, T. Wibisono, Y. Mulyani

{"title":"The Prediction of Thyroid Cancer Recurrence with the XGBoost Method: The Clinicopathological Feature-Based Approach","authors":"T. Alawiyah, T. Wibisono, Y. Mulyani","doi":"10.47709/cnahpc.v6i3.4101","DOIUrl":"https://doi.org/10.47709/cnahpc.v6i3.4101","url":null,"abstract":"This research aims to develop a thyroid cancer recurrence prediction model using the XGBoost method with a clinicopathological feature-based approach. Thyroid cancer is one of the cancers that have a significant recurrence rate after initial treatment. Therefore, thyroid cancer recurrence prediction is important in determining treatment plans and patient management. In this study, we used a dataset containing 383 records of clinicopathological information on thyroid cancer patients who had undergone treatment. The features include various clinical and pathological parameters that are considered important in recurrence prediction. We used the XGBoost algorithm, which has proven effective in various classification tasks, to build a prediction model. The model evaluation results show good consistency in predicting the thyroid cancer recurrence with an average accuracy value of around 97.74% and an average F1-score value of around 95.94%. The results show that the XGBoost model can provide thyroid cancer recurrence prediction with good accuracy, with the ability to effectively detect both classes (recurrence and non-recurrence). The model is expected to be a valuable tool in supporting clinical decision-making related to the management of thyroid cancer patients.","PeriodicalId":15605,"journal":{"name":"Journal Of Computer Networks, Architecture and High Performance Computing","volume":"10 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141688598","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

Naive Bayes and Simple Additive Weighting (SAW) Method for Whey Protein Product Selection in Fitness 用于健身乳清蛋白产品选择的 Naive Bayes 和简单加权法 (SAW)

Journal Of Computer Networks, Architecture and High Performance Computing Pub Date : 2024-07-02 DOI: 10.47709/cnahpc.v6i3.4022

Aditya Maulana Azanzi Girsang, Abdul Halim Hasugian

{"title":"Naive Bayes and Simple Additive Weighting (SAW) Method for Whey Protein Product Selection in Fitness","authors":"Aditya Maulana Azanzi Girsang, Abdul Halim Hasugian","doi":"10.47709/cnahpc.v6i3.4022","DOIUrl":"https://doi.org/10.47709/cnahpc.v6i3.4022","url":null,"abstract":"Fitness is one of the most popular muscle-building sports for people of all ages. Meeting the body's protein needs can be through real food (daily food) such as meat, fish, nuts. However, it is not easy to meet daily protein through daily food alone, so with the existence of whey protein products everyone can meet their daily protein needs without having to add more food portions. The number of whey protein products on the market causes confusion among users in choosing the right product for their daily protein needs. The purpose of the research conducted by the author is to classify the types of whey protein products using the Naïve Bayes method and make recommendations for the best whey protein products based on their type using the Simple Additive Weighting (SAW) method. The results showed that in the classification of whey protein product types using the Naïve Bayes method, the Naïve Bayes method can classify well. The accuracy value obtained by the Naïve Bayes method in this study is 66.67%. This value is obtained because there are two products whose classification does not match the predetermined label. Things like this are natural because the probabilities used between products have a range that is not far away. The Simple Additive Weighting method succeeded in ranking the best whey protein products based on the Simple Additive Weighting method where the first rank was occupied by Optimum Nutrition Whey Gold Standard (WGS) with a value of 82.5 and the product with the lowest value was BSN Syntha 6 Ultra Premium Protein Matrix with a value of 22.5.","PeriodicalId":15605,"journal":{"name":"Journal Of Computer Networks, Architecture and High Performance Computing","volume":"30 1‐2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141686830","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

Analytical Hierarchy Process Method to Determine Student Satisfaction Level with Academic Services 用层次分析法确定学生对学术服务的满意程度

Journal Of Computer Networks, Architecture and High Performance Computing Pub Date : 2024-07-02 DOI: 10.47709/cnahpc.v6i3.4021

Gilang Armawan Saka, Abdul Halim Hasugian

{"title":"Analytical Hierarchy Process Method to Determine Student Satisfaction Level with Academic Services","authors":"Gilang Armawan Saka, Abdul Halim Hasugian","doi":"10.47709/cnahpc.v6i3.4021","DOIUrl":"https://doi.org/10.47709/cnahpc.v6i3.4021","url":null,"abstract":"Student satisfaction is an important aspect in the world of higher education that must be taken seriously. This is because students are the main stakeholders in the learning process and the development of educational institutions. The purpose of this research is to identify factors that affect student satisfaction with academic services and to apply the AHP method in determining the relative weight of each assessment factor that affects student satisfaction with academic services. The results showed that the AHP method helped weight alternatives and criteria with a weight scale of 1 - 9 according to the Saaty table, after weighting the alternatives, then ranking using the AHP method to get the final score, ranking 1 was obtained by Conducive Lecture Room with a final score of 0.084 and ranking 21 was obtained by Regulation with a final score of 0.037, therefore the level of student satisfaction with Conducive Lecture Room was the highest. The design of the application is carried out by conducting research in the academic science of UINSU by collecting student assessment data on academic services, after the data is collected, the weighting of each academic service is carried out and then entered into the application that has been built using the AHP method, influencing factors based on the weight of criteria and sub-criteria.","PeriodicalId":15605,"journal":{"name":"Journal Of Computer Networks, Architecture and High Performance Computing","volume":"15 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141685691","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

Design of Goods Inventory Information System Using Visual Basic .Net (Case Study: CV. Barokah Medan) 使用 Visual Basic .Net 设计货物库存信息系统（案例研究：CV.）

Journal Of Computer Networks, Architecture and High Performance Computing Pub Date : 2024-07-02 DOI: 10.47709/cnahpc.v6i3.4009

Ilda Aprisya Pardede, Nasib Marbun

{"title":"Design of Goods Inventory Information System Using Visual Basic .Net (Case Study: CV. Barokah Medan)","authors":"Ilda Aprisya Pardede, Nasib Marbun","doi":"10.47709/cnahpc.v6i3.4009","DOIUrl":"https://doi.org/10.47709/cnahpc.v6i3.4009","url":null,"abstract":"CV Barokah Medan is a company engaged in the distributor of beverage powder. This company was founded in 2019. Currently, the inventory process at CV Barokah Medan is still carried out conventionally, namely by using ledger records and Microsoft Excel tools. By using the current system, it takes a lot of time to search for goods because of the large number of items, then the problem that occurs is that there is data redundancy and notebooks and inventory data files are damaged or lost so that the checking process takes a long time and is mistaken in the data recording process. Efforts to overcome these problems in this study the authors are interested in creating an inventory information system using the visual basic .net programming language at CV. Barokah Medan. Visual basic .net is visual basic that is re-engineered for use on the .NET platform so that applications created using visual basic .NET can run on computer systems supported by the windows operating system. The results of this study indicate that the proposed inventory information system at CV. Barokah Medan can be used to store and process data in the warehouse, namely item data reports, supplier data reports, and inventory reports per day, per month and per year. So that it can support the CV. Barokah Medan to achieve higher productivity, and save costs, energy, and time in collecting, retrieving and managing inventory data, as well as displaying information data quickly and accurately.","PeriodicalId":15605,"journal":{"name":"Journal Of Computer Networks, Architecture and High Performance Computing","volume":"2 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141688258","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

User Satisfaction Analysis of the PT Dikstra Cipta Solusi Website Using the Webqual 4.0 Method 使用 Webqual 4.0 方法对 PT Dikstra Cipta Solusi 网站进行用户满意度分析

Journal Of Computer Networks, Architecture and High Performance Computing Pub Date : 2024-07-02 DOI: 10.47709/cnahpc.v6i3.4039

Hylenarti Hertyana, Syahrozi Lomotu, Eva Rahmawati

{"title":"User Satisfaction Analysis of the PT Dikstra Cipta Solusi Website Using the Webqual 4.0 Method","authors":"Hylenarti Hertyana, Syahrozi Lomotu, Eva Rahmawati","doi":"10.47709/cnahpc.v6i3.4039","DOIUrl":"https://doi.org/10.47709/cnahpc.v6i3.4039","url":null,"abstract":"The abundance of IT consulting firms in this digital era necessitates continuous improvement for these companies. From services to products, everything must be constantly updated. Websites have become a crucial platform for reaching customers connected to the internet. Customer satisfaction is equally important in building trust with IT consulting firms. This makes companies more aware of the need for customer satisfaction. The Webqual 4.0 method can be a solution to help IT consulting firms understand satisfaction from the end user's perspective by measuring website quality in terms of usability, information quality, and service interaction. The use of the Webqual 4.0 method also requires IT consulting firms to pose a series of questions to existing customers to gauge how attractive, informative, useful, and secure a website is when accessed. This makes the method highly effective if the questions asked are accurate and align with the views of the customers or end users. From the research conducted on PT Diksta Cipta Solusi, it was found that the dominant characteristics of the website users are males aged 35-39 years, with a usage frequency of about twice a month. User evaluations of the website fall into the good category, with the majority of users feeling satisfied or very satisfied, as evidenced by the high validity and reliability of the assessments. The most significant factor influencing user satisfaction is usability, particularly in terms of the ease of operating the website. It was discovered that the three independent variables—usability, information quality, and service interaction—collectively influence user satisfaction. This study makes an important contribution by demonstrating the effectiveness of the Webqual 4.0 method in measuring website quality and providing insights for IT consulting firms to focus on improving usability, information quality, and service interaction to enhance user satisfaction.","PeriodicalId":15605,"journal":{"name":"Journal Of Computer Networks, Architecture and High Performance Computing","volume":"34 11‐12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141688052","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

Prediction of Obesity Categories Based on Physical Activity Using Machine Learning Algorithms 利用机器学习算法根据体育活动预测肥胖类别

Journal Of Computer Networks, Architecture and High Performance Computing Pub Date : 2024-07-02 DOI: 10.47709/cnahpc.v6i3.4053

Muhammad Iqbal, Lisnawanty L, Weiskhy Steven Dharmawan, Rendi Septian

{"title":"Prediction of Obesity Categories Based on Physical Activity Using Machine Learning Algorithms","authors":"Muhammad Iqbal, Lisnawanty L, Weiskhy Steven Dharmawan, Rendi Septian","doi":"10.47709/cnahpc.v6i3.4053","DOIUrl":"https://doi.org/10.47709/cnahpc.v6i3.4053","url":null,"abstract":"Obesity is a global health issue with rising prevalence, marked by excessive fat accumulation that poses health risks. Contributing factors include poor eating habits, lack of physical activity, and genetics, which elevate the risk of chronic diseases like type 2 diabetes, heart disease, stroke, and cancer. This study examines an obesity dataset with seven variables: Age, Gender, Height, Weight, BMI, Physical Activity Level, and Obesity Category. The analysis reveals strong correlations between Body Weight, BMI, and the Obesity Category, while Body Height shows a moderate negative correlation. Various machine learning algorithms were tested, including XGBoost, AdaBoost, Gradient Boosting, and Extra Trees Classification. XGBoost emerged as the top performer, achieving the highest accuracy (0.9961) and an almost perfect AUC (0.9992), making it highly effective for obesity prediction. The study's significance lies in its ability to elucidate the key factors contributing to obesity and their interactions. By recognizing the strong links between Body Weight, BMI, and Obesity Category, healthcare professionals can craft more targeted interventions. Furthermore, the successful application of advanced machine learning algorithms underscores the potential for technology to enhance predictive accuracy and support healthcare decision-making. The findings highlight XGBoost's superior performance, demonstrating its value in predicting obesity and aiding in early diagnosis and prevention strategies. This research emphasizes the critical role of data and technology in tackling obesity and improving public health outcomes.","PeriodicalId":15605,"journal":{"name":"Journal Of Computer Networks, Architecture and High Performance Computing","volume":"26 31","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141684403","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

Desktop Based Furniture Sales Information System (Case Study: Faiza Houseware & Furniture Store) 基于桌面的家具销售信息系统（案例研究：Faiza 家庭用品和家具店）

Journal Of Computer Networks, Architecture and High Performance Computing Pub Date : 2024-07-02 DOI: 10.47709/cnahpc.v6i3.4000

Binaria Br Sembiring, Nasib Marbun

{"title":"Desktop Based Furniture Sales Information System (Case Study: Faiza Houseware & Furniture Store)","authors":"Binaria Br Sembiring, Nasib Marbun","doi":"10.47709/cnahpc.v6i3.4000","DOIUrl":"https://doi.org/10.47709/cnahpc.v6i3.4000","url":null,"abstract":"This study aims to build a desktop-based furniture sales information system at Faiza Houseware & Furniture Store. Toko Faiza Houseware & Furniture is one of the stores engaged in the sale of furniture products such as tables, benches, beds, and kitchen sets. Until now, Faiza Houseware & Furniture Store has not utilized information system technology to support its sales data processing. Toko Faiza Houseware & Furniture still utilizes ledgers to record furniture sales data reports that are made every day. So that data corruption and even data loss often occurs. The data collection techniques used are observation, interviews, and literature studies. The programming language that the author uses to build a desktop-based furniture sales information system that will be implemented at Toko Faiza Houseware & Furniture is Visual Basic .Net. Visual Basic Net is an object-oriented programming language that allows users to create applications with visual techniques. The tool used by the author as a data storage in the desktop-based furniture sales information system built is Microsoft Access. Data reports processed in the desktop-based furniture sales information system can be displayed and printed through Crystal Report. The results showed that the desktop-based furniture sales information system built in this study can improve operational performance and customer service by speeding up and simplifying the furniture sales process at Toko Faiza Houseware & Furniture.","PeriodicalId":15605,"journal":{"name":"Journal Of Computer Networks, Architecture and High Performance Computing","volume":"80 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141687176","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

Analysis of User Acceptance of E-Learning at SMP NEGERI 10 PENAJAM PASER UTARA Using the UTAUT 2 Model 利用UTAUT 2模型分析尼日尔国家妇女培训中心（SMP NEGERI 10 PENAJAM PASER UTARA）用户对电子学习的接受程度

Journal Of Computer Networks, Architecture and High Performance Computing Pub Date : 2024-06-01 DOI: 10.47709/cnahpc.v6i2.3927

Maulana Adhie Pratama, Elvin Leander Hadisaputro

{"title":"Analysis of User Acceptance of E-Learning at SMP NEGERI 10 PENAJAM PASER UTARA Using the UTAUT 2 Model","authors":"Maulana Adhie Pratama, Elvin Leander Hadisaputro","doi":"10.47709/cnahpc.v6i2.3927","DOIUrl":"https://doi.org/10.47709/cnahpc.v6i2.3927","url":null,"abstract":"The rapid development of information and communication technology has encouraged the use of electronic media in education, giving rise to a new paradigm in learning through e-learning. E-learning provides benefits such as access to various learning resources and improving the quality of student-centered learning. This research analyzes the factors that influence student satisfaction in using e-learning by adopting the UTAUT (Unified Theory of Acceptance and Use of Technology) model and evaluates their intention to continue using this technology. The research was conducted at SMP Negeri 10 Penajam Paser Utara using a Moodle-based Learning Management System (LMS). Data was collected through an online survey with Google Forms from a sample of active students using e-learning in 2023. The results of the analysis show that the research model has good validity and reliability. Research findings indicate that habitual factors have a significant influence on usage intentions, which in turn influence usage behavior. Performance expectations also influence the intention to use e-learning.","PeriodicalId":15605,"journal":{"name":"Journal Of Computer Networks, Architecture and High Performance Computing","volume":"61 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141277051","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