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Simulation and Modelling of Pre-emptive Priority CPU Scheduling Algorithm 抢占式优先 CPU 调度算法的仿真与建模
Pub Date : 2024-07-08 DOI: 10.33395/sinkron.v9i3.13352
Tri Dharma Putra, Rakhmat Purnomo
A model is a representation of an idea, thing or object in a simplified form. Model contains information about a system that is created with the aim of studying the actual system. Simulation is an imitation of system using a computer model. In this journal simulation is done by using OS-SIM, an operating system simulator. Process scheduling in an important part in operating systems. Several scheduling algorithms exist in the field. Shortest job first, round robin, first come first serve, priority and all of their variants. In this journal discussion about pre-emptive priority scheduling algorithm is presented thoroughly. Pre-emptive priority scheduling algorithm is an algorithm based on priority. The higher the number of the priority, the higher the priority. Five processes are available and given. Each with burst time, priority and different arrival times. Simulation and modelling with OS-SIM are discussed to understand this algorithm more easily. Some statistics numbers in the system are calculated automatically by the OS-SIM. Some screen shot pictures of the simulator are given to describe the model. It is concluded that for these processes the average turnaround time is 42/5 = 8.4 ms and for average waiting time is 28/5=5.6 ms and the total burst time is 14 ms.
模型是一个概念、事物或对象的简化表示。模型包含系统信息,创建模型的目的是研究实际系统。模拟是使用计算机模型对系统进行模仿。在本期刊中,模拟是通过操作系统模拟器 OS-SIM 来完成的。进程调度是操作系统的重要组成部分。该领域有多种调度算法。最短工作优先、循环、先到先得、优先及其所有变体。本期刊将对抢占式优先调度算法进行深入探讨。抢先优先调度算法是一种基于优先级的算法。优先级数字越大,优先级就越高。现有五个进程,每个进程都有突发时间、优先级和不同的优先级。每个进程都有突发时间、优先级和不同的到达时间。为了更容易理解这种算法,我们讨论了使用 OS-SIM 进行模拟和建模的问题。系统中的一些统计数据由 OS-SIM 自动计算。为描述模型,给出了一些模拟器的屏幕截图。得出的结论是,这些流程的平均周转时间为 42/5=8.4 毫秒,平均等待时间为 28/5=5.6 毫秒,总突发时间为 14 毫秒。
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引用次数: 0
Integration of AHP and Modified VIKOR Method to Select the Optimum Destination Route 整合 AHP 和改进的 VIKOR 方法选择最佳目的地路线
Pub Date : 2024-07-06 DOI: 10.33395/sinkron.v8i3.13784
Miranda Melania Nathasia Simbolon, Parapat Gultom, Elly Rosmaini
One common approach to rating options is group decision making using many criteria. Here, we use the same criteria to evaluate each option. Sometimes, decision makers are faced with some situations where they have to choose from a set of alternatives that have several different criteria. Thus, the decision maker cannot use a common method. Therefore, in this research, a modification to a method is carried out. To address the issue of developing alternate routes to Medan City's historical tourism attractions, the AHP and VIKOR approaches have been suggested. When considering options with both specific and broad requirements, this study adapts the VIKOR technique to find a workable solution. In order to demonstrate the suggested model's use and evaluate the efficacy of this approach change, this study offers numerical examples based on case studies. The findings demonstrate that the revised approach is both practical and efficient.
评定方案等级的一种常见方法是使用多种标准进行集体决策。在这里,我们使用相同的标准来评估每个备选方案。有时,决策者会遇到这样的情况,即他们必须从一组具有多个不同标准的备选方案中做出选择。因此,决策者无法使用一种通用的方法。因此,本研究对一种方法进行了修改。为了解决开发通往棉兰市历史旅游景点备用路线的问题,建议采用 AHP 和 VIKOR 方法。在考虑既有具体要求又有广泛要求的方案时,本研究采用了 VIKOR 技术,以找到可行的解决方案。为了证明所建议模型的用途并评估这种方法变化的有效性,本研究提供了基于案例研究的数字示例。研究结果表明,修改后的方法既实用又高效。
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引用次数: 0
Analysis of COVID-19 Virus Spread in Jakarta Using Multiple Linear Regression 利用多元线性回归分析 COVID-19 病毒在雅加达的传播情况
Pub Date : 2024-07-05 DOI: 10.33395/sinkron.v8i3.13796
Na'il Muta'aly Muhtar, Putu Harry Gunawan
COVID-19, first identified in Wuhan, China in December 2019, quickly spread worldwide and was declared a pandemic by WHO in March 2020. Indonesia reported its first case on March 2, 2020, and the pandemic has had a significant impact on the country's economic, social, and health sectors. This study aims to predict the death rate due to COVID-19 in Jakarta using multiple linear regression method. The dataset collected from Andra Farm - Go Green website includes COVID-19 cases recorded in all sub-districts in Jakarta on November 1, 2023. Pre-processing was performed to improve the quality and accuracy of the model. The method used was multiple linear regression. The analysis results show that variables such as total travel and discarded trip have a significant influence in predicting the number of positive cases. The study found that lowering the correlation threshold for selecting independent variables reduced the mean squared error (MSE) and improved model performance, highlighting the importance of variable selection in developing accurate predictive models. These findings provide important insights for the government in making informed decisions regarding post-pandemic healthcare. This research underscores the value of robust data processing and variable selection techniques in enhancing predictive accuracy for public health planning.
COVID-19 于 2019 年 12 月在中国武汉首次发现,并迅速在全球范围内传播,世卫组织于 2020 年 3 月宣布其为大流行病。印度尼西亚于2020年3月2日报告了首例病例,该流行病对该国的经济、社会和卫生部门产生了重大影响。本研究旨在使用多元线性回归法预测雅加达 COVID-19 的死亡率。从 Andra Farm - Go Green 网站收集的数据集包括 2023 年 11 月 1 日雅加达所有分区记录的 COVID-19 病例。为提高模型的质量和准确性,对数据进行了预处理。使用的方法是多元线性回归。分析结果表明,总行程和废弃行程等变量对预测阳性病例数量有显著影响。研究发现,降低选择自变量的相关性阈值可减少均方误差(MSE),提高模型性能,突出了变量选择在开发精确预测模型中的重要性。这些发现为政府在大流行后的医疗保健方面做出明智决策提供了重要启示。这项研究强调了稳健的数据处理和变量选择技术在提高公共卫生规划预测准确性方面的价值。
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引用次数: 0
UX Analysis on SpeedID Application Using Usability Testing Method and System Usability Scale 使用可用性测试方法和系统可用性量表对 SpeedID 应用程序进行用户体验分析
Pub Date : 2024-07-01 DOI: 10.33395/sinkron.v8i3.13678
Fiqhan Arslayandi, Gede Iwan Sudipa, Dewa Ayu, Kadek Pramita, G. Suryawan, Komang Kurniawan Widiartha
The SpeedID application is a smart city application developed by a subsidiary of PT Bamboomedia Cipta Persada, namely PT Inovasi Solusi Nusantara since 5 years ago. The SpeedID application wants to present a solution to the city's problems to become a new digital identity for the smart city community. Because it was only developed 5 years ago, the SpeedID application is classified as a new application and has never been analyzed for usability before. Usability analysis is carried out to improve user experience, so that the SpeedID application can be accepted and used more easily by users. This research uses Usability Testing method with Performance Measurement and Retrospective Think Aloud (RTA) techniques and System Usability Scale (SUS). The results obtained are the SpeedID application has a quality that cannot be said to be effective, efficient and meet user satisfaction. In addition, the average score of the System Usability Scale (SUS) Questionnaire is 70.33. The score is rated "C" with an adjective rating of "Good" with the acceptance range included in the "Marginal" category, and finally the net promotion score (NPS) is included in the "Passive" category, which explains that the use of the SpeedID application gets an assessment that is still marginalized by its users. This shows that the SpeedID application still urgently needs correction to improve quality to its users and design improvements also need to be made so that the SpeedID application is even better at meeting user expectations in the future.
SpeedID 应用程序是由 PT Bamboomedia Cipta Persada 的子公司 PT Inovasi Solusi Nusantara 于 5 年前开发的一款智慧城市应用程序。SpeedID 应用程序希望为城市问题提供解决方案,成为智慧城市社区的新数字身份。由于开发时间只有 5 年,SpeedID 应用程序被归类为新应用程序,以前从未进行过可用性分析。进行可用性分析是为了改善用户体验,使 SpeedID 应用程序更容易被用户接受和使用。本研究使用了可用性测试方法、性能测量和回顾性朗读(RTA)技术以及系统可用性量表(SUS)。结果表明,SpeedID 应用程序的质量不能说是有效、高效和满足用户满意度。此外,系统可用性量表 (SUS) 问卷的平均得分为 70.33。该分数被评为 "C",形容词评级为 "好",接受范围被列入 "边缘 "类别,最后净推广分数(NPS)被列入 "被动 "类别,这说明用户对 SpeedID 应用程序的使用评价仍然是边缘化的。这表明,SpeedID 应用程序仍然急需修正,以提高其用户质量,同时还需要改进设计,使 SpeedID 应用程序在未来能够更好地满足用户的期望。
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引用次数: 0
Determination of MSMEs Business Feasibility Decisions using the Profile Matching Method 利用概况匹配法确定中小微企业的商业可行性决策
Pub Date : 2024-07-01 DOI: 10.33395/sinkron.v8i3.13638
Salsa Bila Jihan Maulidah, I. G. I. Sudipa, Yuri Prima Fittryani, Komang Kurniawan Widiartha, K. Winatha
Micro and Medium Enterprises (MSMEs) in Bali contribute to the local economy. When operating a business, it is crucial to evaluate the viability of MSME enterprises to enhance the calibre of business offerings and services. Nevertheless, the lack of competence to establish the parameters or criteria for evaluating the viability of a firm poses challenges for MSMEs in decision-making. This study presents a business feasibility assessment model utilising the Profile Matching method to aid in resolving issues and supporting Micro, Small, and Medium Enterprises (MSMEs) in making informed decisions for the long-term viability of their businesses. This study examines the feasibility of MSME businesses using the Profile Matching method. The method involves assessing 13 criteria and selecting from 10 alternatives. The process includes determining initial and target values, weighting criteria, grouping core and secondary factors, calculating total values, and ranking. The final results indicate which MSMEs are feasible and which ones require further evaluation. According to the calculations using the Profile Matching method, MSME 5 has a value of 27.80, indicating its feasibility.
巴厘岛的中小微企业(MSMEs)为当地经济做出了贡献。在经营企业时,评估中小微企业的生存能力对提高企业产品和服务的质量至关重要。然而,由于缺乏制定企业可行性评估参数或标准的能力,中小微企业在决策时面临挑战。本研究利用 "概况匹配 "方法提出了一个商业可行性评估模型,以帮助解决问题,并支持中小微型企业(MSMEs)为其业务的长期可行性做出明智决策。本研究使用 "轮廓匹配法 "对中小微型企业的可行性进行了研究。该方法包括评估 13 项标准,并从 10 个备选方案中进行选择。这一过程包括确定初始值和目标值、标准加权、核心因素和次要因素分组、计算总值和排序。最终结果表明哪些中小微企业是可行的,哪些需要进一步评估。根据轮廓匹配法的计算结果,中小微企业 5 的值为 27.80,表明其具有可行性。
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引用次数: 0
Usability Testing of Industrial Engineering UPNVJT Website Using Eye Tracking and System Usability Scale 使用眼动跟踪和系统可用性量表测试工业工程 UPNVJT 网站的可用性
Pub Date : 2024-07-01 DOI: 10.33395/sinkron.v8i3.13765
Bintara Putra Dicya, T. Tranggono
Websites are essential for agencies and organizations to ensure their information is accessible to the public. The eye tracker method is effective for evaluating user usability. The Industrial Engineering Study Program at Universitas Pembangunan Nasional "Veteran" East Java has an official website, tekindustri.upnjatim.ac.id, which has not been tested for usability. Initial problem identification revealed issues such as inaccessible menus and hidden information. This study aims to assess and improve the user experience on the website using a combination of Eye Tracking and System Usability Scale (SUS) methods. The average effectiveness score for 39 respondents is 89.10%, with 8% rated as ineffective, 28% as effective enough, and 64% as very effective. The efficiency value, measured across 39 respondents and 4 tasks, is 0.0276 goals/second, indicating each respondent completes 2.76% of tasks per second, requiring about 36.23 seconds to reach 100% task completion. The initial SUS score was 69.49%. Five issues were identified in the Home, Facilities, Education, Thesis, and MBKM sections and one design issue. A prototype was developed and tested, resulting in a final SUS score of 80.06%, placing the website in the marginally high acceptability range, category B for grade scale, and excellent for adjective ratings. The SUS score improvement was 10.57%. This research shows that combining Eye Tracking and SUS is an effective method for increasing website usability. The implications of this research can help organizations improve the quality of their websites and provide a better user experience.
网站对于各机构和组织来说至关重要,可确保公众能够获取其信息。眼动仪方法是评估用户可用性的有效方法。东爪哇国立 "老兵 "大学的工业工程学习项目有一个官方网站tekindustri.upnjatim.ac.id,该网站尚未进行可用性测试。初步发现的问题包括无法访问菜单和隐藏信息等。本研究旨在通过眼动跟踪和系统可用性量表(SUS)相结合的方法,评估和改善网站的用户体验。39 位受访者的平均有效性得分为 89.10%,其中 8% 被评为无效,28% 被评为足够有效,64% 被评为非常有效。39 位受访者和 4 项任务的效率值为 0.0276 目标/秒,表明每位受访者每秒完成 2.76% 的任务,需要约 36.23 秒才能 100% 完成任务。初始 SUS 得分为 69.49%。在 "家庭"、"设施"、"教育"、"论文 "和 "MBKM "部分发现了五个问题和一个设计问题。开发并测试了一个原型,最终的 SUS 得分为 80.06%,网站的可接受性处于略高范围,等级标准为 B 类,形容词评级为优秀。SUS 分数提高了 10.57%。这项研究表明,结合眼动跟踪和 SUS 是提高网站可用性的有效方法。这项研究的意义可以帮助企业提高网站质量,提供更好的用户体验。
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引用次数: 0
Design E-Learning User Interface On Website-Based Edspert.Id With Kansei Engineering Methods 用 Kansei 工程方法设计基于 Edspert.Id 网站的电子学习用户界面
Pub Date : 2024-07-01 DOI: 10.33395/sinkron.v8i3.13630
Adhitya Rinda Wahyu Purnama, Perdana Suteja Putra, R. A. Zunaidi
The development of information technology has encouraged people to rely on information systems, especially through websites. Websites provide easy access to information and learning with various educational materials. Although e-learning has been implemented in many educational websites, Edspert. id, a company in the education sector, has not implemented it yet. User interface design development is one of the important processes in e-learning website development. A user interface that is easy to use will improve the learning experience of learners. This research proposes a solution to design the user interface of Edspert.id e-learning website by using the Kansei Engineering method. This approach has been done beforefor web-based e-learning based on users' emotions. Principal component analysis (PCA) is used to reduce Kansei Word variables that are relevant to users' emotions. The e-learning website element design was then designed based on the PCA results. The next step is to determine the design elements in the e-learning design. Then, partial Least Square (PLS) was used to analyze the relationship between Kansei Word and element design. The results show that there multiuser interface design has two concepts whose element designs are in accordance with user needs.
信息技术的发展促使人们依赖信息系统,尤其是通过网站。网站提供了获取信息和学习各种教育材料的便捷途径。尽管许多教育网站已经实施了电子学习,但教育领域的一家公司 Edspert.id 还没有实施电子学习。用户界面设计开发是电子学习网站开发的重要过程之一。易于使用的用户界面将改善学习者的学习体验。本研究提出了一种使用 Kansei 工程方法设计 Edspert.id 电子学习网站用户界面的解决方案。这种方法在基于用户情感的网络在线学习中已有应用。主成分分析(PCA)用于减少与用户情感相关的Kansei Word变量。然后根据 PCA 结果设计电子学习网站的元素设计。下一步是确定电子学习设计中的设计元素。然后,使用偏最小二乘法(PLS)分析康采恩词与元素设计之间的关系。结果表明,多用户界面设计有两个概念,其元素设计符合用户需求。
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引用次数: 0
Combination of Lexical Resources and Support Vector Machine for Film Sentiment Analysis 结合词法资源和支持向量机进行电影情感分析
Pub Date : 2024-07-01 DOI: 10.33395/sinkron.v8i3.13733
Putri Agustina, Raissa Amanda Putri
Text data generated by internet users holds potentially valuable information that can be researched for new insights. One strategy for obtaining information from a text data set is to classify text into predetermined categories based on existing data. Text classification is an aspect of Text Mining. One of the popular approaches in Text Mining uses the Support Vector Machine (SVM) classification algorithm, which aims to classify text and separate data into different classes. However, in some cases, SVM classification algorithms may face difficulties in understanding the context of the text properly due to unclear wording, varying sentence structures, or a lack of understanding of interpretation. To address this problem, applying SVM classification using lexical resources can be an effective solution. In this research framework, the first step is to obtain data, which in this case is a film review dataset taken from the kaggle.com site. After obtaining the data, the next step is preprocessing. The results of the preprocessing are then divided into 80:20 percentages. The 80% training data is used to search for the form of polarization, and this training data lexicon is used for training the SVM model. Based on the modeling results, the overall model accuracy is around 85%, calculated using the confusion matrix. The precision value, which shows the proportion of correct positive predictions, reached 88%. The precision for negative predictions reached 80%, and for neutral predictions, it reached 0%. These results show that the Lexicon+SVM model has good performance, with an accuracy of 85%.
互联网用户生成的文本数据蕴含着潜在的宝贵信息,可以通过研究获得新的见解。从文本数据集中获取信息的一种策略是根据现有数据将文本归入预定类别。文本分类是文本挖掘的一个方面。文本挖掘的流行方法之一是使用支持向量机(SVM)分类算法,其目的是对文本进行分类,并将数据分成不同的类别。然而,在某些情况下,由于用词不清、句子结构不同或缺乏对解释的理解,SVM 分类算法可能难以正确理解文本的上下文。为解决这一问题,利用词汇资源进行 SVM 分类不失为一种有效的解决方案。在本研究框架中,第一步是获取数据,本例中的数据是来自 kaggle.com 网站的电影评论数据集。获取数据后,下一步是预处理。然后将预处理的结果按 80:20 的比例进行分配。80% 的训练数据用于搜索极化的形式,这个训练数据词库用于训练 SVM 模型。根据建模结果,使用混淆矩阵计算出的整体模型准确率约为 85%。显示正向预测正确率的精度值达到了 88%。负面预测的精确度达到了 80%,中性预测的精确度为 0%。这些结果表明,Lexicon+SVM 模型性能良好,准确率达到 85%。
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引用次数: 0
Leveraging Enterprise Architecture to Empower KOMINFO's Business Core Operations: A PMO Perspective 利用企业架构增强 KOMINFO 的业务核心运营能力:项目管理办公室的视角
Pub Date : 2024-07-01 DOI: 10.33395/sinkron.v8i3.13656
Ratna Amalia Purawidjaja, Glenny Chudra, Eko Indrajit, Erick Dazki, Alfa Yohannis
The Sky Bridge (Tol Langit) Program is an Indonesian government’s strategic project aimed at digital transformation in the 3T regions (Tertinggal, Terdepan, Terluar - Underdeveloped, Frontline, Outermost). It requires thorough planning and integrated management for its implementation. A specialized unit with a helicopter view perspective is needed to ensure and oversee the alignment of processes. This important role is managed by the Project Management Office (PMO). One of the challenges PMO faces in ensuring an end-to-end process alignment is identifying the appropriate digital resources to support the process. This is where the Enterprise Architecture (EA) framework plays a crucial role as a blueprint for the organization's digital landscape. This reference helps map out existing data, applications, and business processes. Having this blueprint allows PMO to have a holistic view and make targeted decisions. EA also helps identify existing applications that can be integrated with new programs, avoiding unnecessary duplication. The use of ArchiMate, a language for enterprise architecture modeling, assists PMOs in planning digital transformations considering all aspects - business needs, applications, and technology. In short, a well-defined EA framework empowers PMOs to navigate the complexities of digital transformation in the telecommunications sector to ensure the successful implementation of the Sky Bridge Program.
天空之桥(Tol Langit)计划是印度尼西亚政府的一项战略项目,旨在实现 3T 地区(Tertinggal、Terdepan、Terluar - 欠发达地区、前沿地区、最外围地区)的数字化转型。项目的实施需要周密的规划和综合的管理。需要一个具有直升机视角的专门机构来确保和监督流程的协调。这一重要职责由项目管理办公室(PMO)负责。项目管理办公室在确保端到端流程协调方面面临的挑战之一是确定支持流程的适当数字资源。这就是企业架构(EA)框架作为组织数字化蓝图发挥关键作用的地方。这一参考有助于绘制现有数据、应用程序和业务流程。有了这一蓝图,项目管理办公室就能纵观全局,做出有针对性的决策。EA 还有助于确定可与新项目整合的现有应用程序,避免不必要的重复。使用 ArchiMate(一种企业架构建模语言)可以帮助项目管理办公室在规划数字化转型时考虑到业务需求、应用程序和技术等各个方面。总之,一个定义明确的企业架构框架能让项目管理办公室驾驭电信行业复杂的数字化转型,确保天空之桥计划的成功实施。
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引用次数: 0
Designing Claim Systems in Health Insurance Companies with Microservices and Event-Driven Architecture Approach 用微服务和事件驱动架构方法设计医疗保险公司的理赔系统
Pub Date : 2024-07-01 DOI: 10.33395/sinkron.v8i3.13677
Steve Sentosa, Amelia Makmur, Handri Santoso
Through digital transformation, insurance companies, especially in the health sector, are increasingly adopting modern technologies to enhance efficiency and service quality. Health insurance allows individuals or families to mitigate the financial risks associated with high and unexpected medical expenses. One crucial area is insurance claim, where a fast and accurate process is key to customer satisfaction. This study proposes the design and architecture of an insurance claim system using a microservices and event-driven approach. This approach enables insurance companies to break down applications into separate components, facilitating scalability, flexibility, and easier maintenance. Additionally, with an event-driven approach, the system can quickly respond to changes and events in the business environment. A comprehensive analysis shows that implementing microservices and event-driven architecture in the insurance claim system can enhance overall system performance, scalability, and resilience. For insurance companies, adopting microservices and event-driven architecture can lead to increased operational efficiency, reduced time to market for new products, and improved customer experiences through faster claim processing. Policyholders will benefit from quicker claim resolutions and a more transparent and responsive claim process. This study provides valuable insights for health insurance companies looking to upgrade their IT infrastructure to meet future challenges. The findings from this research will be documented to support the development of insurance business technology, specifically for health insurance claims in Indonesia.
通过数字化转型,保险公司,尤其是医疗行业的保险公司,越来越多地采用现代技术来提高效率和服务质量。医疗保险使个人或家庭能够降低与高额和意外医疗费用相关的财务风险。保险理赔是一个关键领域,快速准确的理赔流程是客户满意度的关键。本研究采用微服务和事件驱动方法,提出了保险索赔系统的设计和架构。这种方法使保险公司能够将应用程序分解成独立的组件,从而提高可扩展性、灵活性和维护的便捷性。此外,采用事件驱动方法,系统可以快速响应业务环境中的变化和事件。综合分析表明,在保险理赔系统中实施微服务和事件驱动架构可以提高系统的整体性能、可扩展性和弹性。对于保险公司来说,采用微服务和事件驱动架构可以提高运营效率,缩短新产品上市时间,并通过更快的理赔处理改善客户体验。投保人将受益于更快的理赔解决方案以及更透明、反应更迅速的理赔流程。这项研究为希望升级其 IT 基础架构以应对未来挑战的医疗保险公司提供了宝贵的见解。研究结果将被记录在案,以支持保险业务技术的发展,特别是印尼医疗保险理赔技术的发展。
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