Pub Date : 2024-07-02DOI: 10.47709/cnahpc.v6i3.4003
Rifaldi Arridho Sahputra, Nasib Marbun
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.
{"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}
Pub Date : 2024-07-02DOI: 10.47709/cnahpc.v6i3.4035
Appril Cillia Pasaribu, Nasib Marbun
Libraries are important institutions in the world of education as a place to develop knowledge through various book references. In a library, there is generally a very large stock of books. In addition, the number of book loan and return transactions continues to increase over time. Library data processing that still uses conventional methods, namely with notebooks and pens often causes problems, such as the use of a lot of time, data redundancy, and data loss. This research aims to develop a library data management system from a conventional system to a computerized one. The system that the author offers in this study is a visual basic net-based library information system equipped with a MySQL database as the right data storage and Crystal Report as a medium for attaching to print data processing reports that have been done. The system development method used in this research is the Waterfall method. The results of this research are in the form of a library information system that can be used on computer devices with the windows operating system.
图书馆是教育界的一个重要机构，是通过各种图书参考资料发展知识的地方。图书馆一般都有大量的图书。此外，随着时间的推移，图书借还交易的数量也在不断增加。仍然使用传统方法，即用笔记本和笔进行图书馆数据处理，往往会造成问题，如耗费大量时间、数据冗余和数据丢失。本研究旨在将图书馆数据管理系统从传统系统发展为计算机化系统。作者在本研究中提供的系统是一个基于 visual basic net 的图书馆信息系统，配备了一个 MySQL 数据库作为正确的数据存储，并以 Crystal Report 作为媒介，用于附加打印已完成的数据处理报告。本研究采用的系统开发方法是瀑布法。研究成果将以图书馆信息系统的形式呈现，该系统可在装有 Windows 操作系统的计算机设备上使用。
{"title":"Visual Basic.Net Based Library Information System","authors":"Appril Cillia Pasaribu, Nasib Marbun","doi":"10.47709/cnahpc.v6i3.4035","DOIUrl":"https://doi.org/10.47709/cnahpc.v6i3.4035","url":null,"abstract":"Libraries are important institutions in the world of education as a place to develop knowledge through various book references. In a library, there is generally a very large stock of books. In addition, the number of book loan and return transactions continues to increase over time. Library data processing that still uses conventional methods, namely with notebooks and pens often causes problems, such as the use of a lot of time, data redundancy, and data loss. This research aims to develop a library data management system from a conventional system to a computerized one. The system that the author offers in this study is a visual basic net-based library information system equipped with a MySQL database as the right data storage and Crystal Report as a medium for attaching to print data processing reports that have been done. The system development method used in this research is the Waterfall method. The results of this research are in the form of a library information system that can be used on computer devices with the windows operating system.","PeriodicalId":15605,"journal":{"name":"Journal Of Computer Networks, Architecture and High Performance Computing","volume":"2 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141684336","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}
Pub Date : 2024-07-02DOI: 10.47709/cnahpc.v6i3.4021
Gilang Armawan Saka, Abdul Halim Hasugian
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.
{"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}
Pub Date : 2024-07-02DOI: 10.47709/cnahpc.v6i3.4022
Aditya Maulana Azanzi Girsang, Abdul Halim Hasugian
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.
健身是最受各年龄段人群欢迎的肌肉锻炼运动之一。满足人体对蛋白质的需求可以通过肉类、鱼类、坚果等真正的食物（日常食物）来实现。然而，仅通过日常食物来满足日常蛋白质需求并不容易，因此，乳清蛋白产品的出现让每个人都能满足日常蛋白质需求，而无需增加食物的份量。市场上乳清蛋白产品数量众多，导致用户在选择满足日常蛋白质需求的产品时感到困惑。笔者开展研究的目的是使用奈伊夫贝叶斯方法对乳清蛋白产品的类型进行分类，并使用简单加权法（SAW）根据乳清蛋白产品的类型推荐最佳乳清蛋白产品。结果表明，在使用奈伊夫贝叶斯方法对乳清蛋白产品类型进行分类时，奈伊夫贝叶斯方法的分类效果良好。在本研究中，奈伊夫贝叶斯方法获得的准确率为 66.67%。获得这一数值的原因是有两个产品的分类与预定标签不符。这种情况是很自然的，因为产品之间使用的概率范围并不遥远。简单添加剂加权法成功地根据简单添加剂加权法对最佳乳清蛋白产品进行了排名，其中排名第一的是Optimum Nutrition公司的黄金标准乳清蛋白（WGS），数值为82.5，数值最低的产品是BSN Syntha 6 Ultra Premium Protein Matrix，数值为22.5。
{"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}
Pub Date : 2024-07-02DOI: 10.47709/cnahpc.v6i3.4101
T. Alawiyah, T. Wibisono, Y. Mulyani
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.
{"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}
Pub Date : 2024-07-02DOI: 10.47709/cnahpc.v6i3.4009
Ilda Aprisya Pardede, Nasib Marbun
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.
CV Barokah Medan 是一家从事饮料粉销售的公司。该公司成立于 2019 年。目前，CV Barokah Medan 公司的库存流程仍采用传统方式，即使用分类账记录和 Microsoft Excel 工具。使用现有系统时，由于物品数量庞大，需要花费大量时间搜索货物，然后出现的问题是数据冗余、笔记本和库存数据文件损坏或丢失，因此核对过程需要很长时间，并在数据记录过程中出现错误。为了克服这些问题，作者有兴趣在本研究中使用 Visual Basic .net 编程语言在 CV.巴罗卡棉兰。Visual basic .net 是为在 .NET 平台上使用而重新设计的 Visual basic，因此使用 Visual basic .NET 创建的应用程序可以在 Windows 操作系统支持的计算机系统上运行。研究结果表明，CV.该系统可用于存储和处理仓库中的数据，即每日、每月和每年的物品数据报告、供应商数据报告和库存报告。这样，它就能支持 CV.Barokah Medan 实现更高的目标。在收集、检索和管理库存数据以及快速、准确地显示信息数据方面，它可以支持 CV.Barokah Medan 提高生产率，节约成本、能源和时间。
{"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}
Pub Date : 2024-07-02DOI: 10.47709/cnahpc.v6i3.4039
Hylenarti Hertyana, Syahrozi Lomotu, Eva Rahmawati
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.
在这个数字化时代，IT 咨询公司大量涌现，这就要求这些公司必须不断改进。从服务到产品，一切都必须不断更新。网站已成为接触互联网客户的重要平台。客户满意度对于建立对 IT 咨询公司的信任同样重要。这使得公司更加意识到客户满意度的必要性。Webqual 4.0 方法可以从可用性、信息质量和服务互动等方面衡量网站质量，帮助 IT 咨询公司从最终用户的角度了解满意度。使用 Webqual 4.0 方法还要求 IT 咨询公司向现有客户提出一系列问题，以衡量网站在访问时的吸引力、信息量、实用性和安全性。如果所提问题准确且与客户或最终用户的观点一致，那么这种方法就会非常有效。通过对 PT Diksta Cipta Solusi 的研究发现，网站用户的主要特征是 35-39 岁的男性，使用频率约为每月两次。用户对网站的评价属于良好类型，大多数用户感到满意或非常满意，这一点从评价的高度有效性和可靠性中可见一斑。影响用户满意度的最重要因素是可用性，特别是网站的易操作性。研究发现，可用性、信息质量和服务互动这三个自变量共同影响着用户满意度。本研究证明了 Webqual 4.0 方法在衡量网站质量方面的有效性，并为 IT 咨询公司重点改进可用性、信息质量和服务互动以提高用户满意度提供了启示，从而做出了重要贡献。
{"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}
Pub Date : 2024-07-02DOI: 10.47709/cnahpc.v6i3.4053
Muhammad Iqbal, Lisnawanty L, Weiskhy Steven Dharmawan, Rendi Septian
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.
肥胖症是一个全球性的健康问题，发病率不断上升，其特点是脂肪堆积过多，对健康构成威胁。造成肥胖的因素包括不良饮食习惯、缺乏体育锻炼和遗传，这些因素都会增加罹患 2 型糖尿病、心脏病、中风和癌症等慢性疾病的风险。本研究对包含七个变量的肥胖数据集进行了研究：年龄、性别、身高、体重、体重指数、体育锻炼水平和肥胖类别。分析表明，体重、体重指数和肥胖类别之间存在很强的相关性，而身高则显示出中等程度的负相关。对各种机器学习算法进行了测试，包括 XGBoost、AdaBoost、梯度提升和 Extra Trees 分类。XGBoost 表现最出色，准确率最高（0.9961），AUC 几乎完美（0.9992），对肥胖预测非常有效。这项研究的意义在于它能够阐明导致肥胖的关键因素及其相互作用。通过认识体重、体重指数和肥胖类别之间的密切联系，医疗保健专业人员可以制定更有针对性的干预措施。此外，先进的机器学习算法的成功应用强调了技术在提高预测准确性和支持医疗决策方面的潜力。研究结果凸显了 XGBoost 的卓越性能，证明了其在预测肥胖症以及帮助早期诊断和预防策略方面的价值。这项研究强调了数据和技术在解决肥胖问题和改善公共卫生成果方面的关键作用。
{"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}
Pub Date : 2024-07-02DOI: 10.47709/cnahpc.v6i3.4000
Binaria Br Sembiring, Nasib Marbun
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.
{"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}
Pub Date : 2024-06-01DOI: 10.47709/cnahpc.v6i2.3927
Maulana Adhie Pratama, Elvin Leander Hadisaputro
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.
信息和通信技术的快速发展促进了电子媒体在教育中的应用，通过电子学习催生了一种新的学习模式。电子学习带来的好处包括获取各种学习资源和提高以学生为中心的学习质量。本研究采用UTAUT（技术接受和使用统一理论）模型，分析了影响学生使用电子学习满意度的因素，并评估了他们继续使用该技术的意向。研究在乌塔拉省槟榔屿第十中学（SMP Negeri 10 Penajam Paser Utara）进行，使用的是基于 Moodle 的学习管理系统（LMS）。数据是通过谷歌表单在线调查收集的，调查对象是2023年使用电子学习的活跃学生样本。分析结果表明，研究模型具有良好的有效性和可靠性。研究结果表明，习惯因素对使用意愿有显著影响，而使用意愿又会影响使用行为。成绩预期也会影响网络学习的使用意向。
{"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}
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