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Comparison of the Use of Blender and Sketchup Applications in 3d Animation (Case Study: PT Rico Putra Selatan 在3d动画中使用Blender和Sketchup应用程序的比较(案例研究:PT Rico Putra Selatan
Pub Date : 2022-12-16 DOI: 10.53697/jkomitek.v2i2.1011
Fitri Adinda, Agung Kharisma Hidayah, Dandi Sunardi, Muntahanah Muntahanah
This study discusses the comparative analysis of the use of Blender and Sketchup Applications in 3D Animation (Case Study: PT Rico Putra Selatan), the comparison analyzed is the process of how long the rendering process takes using the Blender and Sketchup applications and how the quality of the visuals/images produced by Blender and Sketchup applications. However, this requires intensive resources and strong hardware to run, then the 3D animated video created will be used as a medium for promotion.Comparative analysis of Blender and Sketchup will result in testing the rendering speed, and image quality of the results of making 3D animated videos. The results of this study are able to state that Blender outperforms Sketchup in the comparison of rendering speed, and the image quality of this 3D animation video that Blender is superior to Sketchup.
本研究讨论了在3D动画中使用Blender和Sketchup应用程序的比较分析(案例研究:PT Rico Putra Selatan),比较分析的是使用Blender和Sketchup应用程序的渲染过程需要多长时间,以及Blender和Sketchup应用程序产生的视觉/图像质量如何。但是,这需要密集的资源和强大的硬件来运行,然后创建的3D动画视频将作为推广的媒介。将Blender和Sketchup进行对比分析,测试制作3D动画视频的渲染速度和图像质量。本研究的结果可以说明Blender在渲染速度的比较上优于Sketchup,并且这个3D动画视频的图像质量也优于Sketchup。
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引用次数: 0
Comparison of the K-Nearest Neighbor Method and the Naive Bayes Method in Classification of Eligibility for Lending k近邻法与朴素贝叶斯法在贷款资格分类中的比较
Pub Date : 2022-12-16 DOI: 10.53697/jkomitek.v2i2.952
Perlius Septria, A. Asnawati, Jhoanne Fredricka
The Kemala Aman Finance Bengkulu Cooperative also provides loan facilities for consumers, but not all loan applications will be approved. So far, the determination of the feasibility of applying for a loan is seen from several aspects including marital status, number of dependents, age, last education, occupation, monthly income, home ownership, collateral, number of loan applications, length of loan application. These aspects are analyzed manually by the survey team by filling out the form provided, and then the survey results are given to superiors to be followed up on whether the loan application is accepted or rejected. The loan eligibility application at the Kemala Aman Finance Bengkulu Cooperative is used to make it easier to determine the eligibility of prospective borrowers to be given loans based on marital status, number of dependents, age, last education, occupation, income, home ownership, collateral, number of loan applications, length of loan application. This application is made using the Visual Basic .Net programming language which can be accessed by the Kemala Aman Finance Bengkulu Cooperative Admin. Comparative analysis of the K-Nearest Neighbor method and the Naive Bayes method was carried out by looking at the level of accuracy by comparing the classification results of the two methods with the real data from the classification results obtained from the Kemala Aman Finance Cooperative Bengkulu. Based on the processing time, the KNN method is faster than the Naive Bayes method. Based on the level of accuracy, the KNN method has the highest level of accuracy compared to the Naive Bayes method. Based on the tests that have been carried out, the functionality of the loan eligibility application at the Kemala Aman Finance Bengkulu Cooperative runs as expected, and the application is able to display the results of the classification of loan eligibility through the KNN Method and the Naive Bayes Method.
Kemala Aman Finance Bengkulu合作社也为消费者提供贷款便利,但并非所有贷款申请都将获得批准。到目前为止,申请贷款的可行性的确定是从几个方面来看的,包括婚姻状况、受抚养人数、年龄、最后的教育程度、职业、月收入、住房所有权、抵押品、贷款申请次数、贷款申请期限。这些方面由调查小组通过填写提供的表格进行人工分析,然后将调查结果交给上级,由上级跟踪贷款申请是被接受还是被拒绝。Kemala Aman金融Bengkulu合作社的贷款资格申请是为了更容易地根据婚姻状况、家属人数、年龄、上次教育程度、职业、收入、住房所有权、抵押品、贷款申请数量、贷款申请期限等因素确定潜在借款人获得贷款的资格。本应用程序是使用Visual Basic . net编程语言编写的,可由Kemala Aman Finance Bengkulu合作社管理员访问。对k近邻法和朴素贝叶斯法进行对比分析,将两种方法的分类结果与本库鲁Kemala Aman金融合作社分类结果的真实数据进行对比,从准确率水平上进行对比分析。从处理时间来看,KNN方法比朴素贝叶斯方法更快。基于准确率水平,与朴素贝叶斯方法相比,KNN方法具有最高的准确率水平。根据已进行的测试,Kemala Aman金融Bengkulu合作社的贷款资格申请功能运行正常,该应用程序能够显示通过KNN方法和朴素贝叶斯方法对贷款资格进行分类的结果。
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引用次数: 0
Application of the Multiple Linear Regression Method in Forecasting the Amount of Drug Supply at the Health Center 多元线性回归方法在卫生院药品供应量预测中的应用
Pub Date : 2022-12-16 DOI: 10.53697/jkomitek.v2i2.1043
Riki Ternando, Jusuf Wahyudi, Dewie Suranti
Sukamerindu Health Center is one of the health centers in the city of Bengkulu. Drug management at the puskesmas has utilized an office application package, namely excel, but this utilization has not been fully implemented, because there is still a manual process where drug data collection is filled in through the books that have been provided, then only recapitulated at the end of the month. This sometimes makes it difficult for the puskesmas to manage the availability of drugs at the puskesmas. The application for forecasting the amount of drug supply at the UPTD Sukamerindu Health Center in Bengkulu City was made using the Visual Basic .Net programming language by applying the Multiple Linear Regression Method for the forecasting process. In determining the results of the forecast for the following month and year, there are 3 supporting variables used, namely demand, use, and supply of drugs in the previous month and year. Based on data on the 500 mg Amoxicillin Capsule, where there were 36 data analyzed from January 2019 to December 2021, the prediction results for the number of drug supplies in January 2022 using the Multiple Linear Regression Method were 13066, with a prediction error rate of 7.10%. . Based on testing the application for forecasting the amount of drug inventory at the UPTD Puskesmas Sukamerindu, Bengkulu City, it was found that the functionality of the application ran according to expectations .
Sukamerindu健康中心是Bengkulu市的健康中心之一。puskesmas的药品管理已经使用了office应用程序包,即excel,但这种利用并没有完全实现,因为仍然存在人工流程,通过提供的书籍填写药品数据收集,然后在月底进行重述。这有时使药房难以管理药房的药品供应。应用Visual Basic . net编程语言,应用多元线性回归方法预测Bengkulu市UPTD Sukamerindu保健中心的药物供应量。在确定下一个月和下一年的预测结果时,使用了3个支持变量,即前一个月和前一年的药物需求、使用和供应。以500 mg阿莫西林胶囊为例,分析2019年1月- 2021年12月36个数据,采用多元线性回归方法预测2022年1月药品供应数为13066个,预测错误率为7.10%。通过对本库鲁市UPTD Puskesmas Sukamerindu药品库存预测应用程序的测试,发现该应用程序的功能符合预期。
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引用次数: 0
Student Satisfaction Information System on Administrative Services in Information Engineering Study Program Muhammadiyah University Bengkulu 本库鲁穆罕默德迪亚大学信息工程研究项目管理服务学生满意度信息系统
Pub Date : 2022-12-16 DOI: 10.53697/jkomitek.v2i2.974
Ujang Juhardi, Diana Diana, Marhalim Marhalim, Gunawan Saputra
The level of student satisfaction with the services of the Administrative Services section of the Faculty of Engineering, University of Muhammadiyah Bengkulu is not yet known. To determine the level of student satisfaction in receiving these services, it is necessary to create a system that can measure the level of student satisfaction with the services provided. In conducting this research, the development method of the System Development Life Cycle (SDLC) is a gradual approach to analyze and build a system design using a specific cycle for user activities and the approach method used in measuring the level of satisfaction using a licker scale. This system is built with the XAMPP tool that can test applications without requiring an internet connection, PHP programming language and MySQL database. The results of the system made can help and make it easier to find out the level of student satisfaction with the services provided and the faculty in particular can quickly improve and improve the performance of services that get bad ratings. From the overall assessment, the value of service satisfaction level is 89.26 with a very good predicate. It is hoped that this application is always up to date so that it follows the development of Android-based technology.
学生对本库鲁穆罕默德迪亚大学工程学院行政事务处服务的满意程度尚不清楚。为了确定学生在接受这些服务时的满意程度,有必要建立一个可以衡量学生对所提供服务的满意程度的系统。在进行本研究时,系统开发生命周期(SDLC)的开发方法是一种渐进的方法,使用特定的用户活动周期来分析和构建系统设计,并使用舔舐量表来测量满意度。本系统采用XAMPP工具构建,无需internet连接,无需PHP编程语言,无需MySQL数据库,即可对应用程序进行测试。该系统的结果可以帮助并更容易地发现学生对所提供的服务的满意程度,特别是教师可以快速改进和提高获得差评级的服务的性能。从整体评价来看,服务满意度值为89.26,谓词很好。希望这个应用程序始终是最新的,以便它遵循基于android的技术的发展。
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引用次数: 0
Implementation of the Naïve Bayes Algorithm for Divorce Prediction at the Tais Religious Court Naïve贝叶斯算法在台湾宗教法院离婚预测中的实现
Pub Date : 2022-12-13 DOI: 10.53697/jkomitek.v2i2.924
Windarman Windarman, Sapri Sapri, Eko Suryana
Divorce is the breaking up of a husband and wife relationship, because there is no match between the two. Divorce is basically the release of the bond between husband and wife. In Tais district, based on the Tais Religious Court Annual Report from 2017, 2018 and 2019 it was found that there was an increase in the divorce rate. Based on the divorce rate which continues to increase every year, it is necessary to have data in the form of data to determine the factors that influence divorce. The use of Naive Bayes is that this method only requires a small amount of training data (Training Data) to determine the parameter estimates needed in the prediction process. In this case, it is assumed that the presence or absence of a certain event from a group is not related to the presence or absence of other events. With a system to predict divorce, it can help users who want to know the prediction of divorce. Based on the tests that have been carried out using the Black Box Method, the results show that the functionality of the divorce data prediction application has run as expected and the application is able to display the prediction results of Divorce Lawsuit and Divorce Divorce
离婚是夫妻关系的破裂,因为两者之间没有匹配。离婚基本上是解除夫妻之间的联系。根据泰斯宗教法院2017年、2018年和2019年的年度报告,泰斯地区的离婚率有所上升。基于每年持续增长的离婚率,有必要以数据的形式来确定影响离婚的因素。朴素贝叶斯的使用在于,该方法只需要少量的训练数据(training data)来确定预测过程中所需的参数估计。在这种情况下,假设组中某个事件的存在或不存在与其他事件的存在或不存在无关。通过一个预测离婚的系统,它可以帮助那些想要知道离婚预测的用户。采用黑盒法进行了测试,结果表明,离婚数据预测应用程序的功能运行正常,能够显示离婚诉讼和离婚离婚的预测结果
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引用次数: 1
Implementation of the Apriori Method for Analysis of Hotel Guest Visit Patterns at the Rio Asri Hotel Bengkulu 酒店客人访问模式分析的Apriori方法在Rio Asri Hotel Bengkulu的实现
Pub Date : 2022-12-13 DOI: 10.53697/jkomitek.v2i2.922
Rodi Rodi, L. Yulianti, Juju Jumadi
Analysis of the pattern of guest visits at the Rio Asri Bengkulu Hotel with the a priori algorithm is carried out to obtain rules and predict the next guest visit and provide guests with marketing rewards to increase the interest of other visitors in utilizing and using hotel services regularly or periodically. A priori analysis is defined as a process to find all the rules that meet the minimum requirements for support and the minimum requirements for confidence. The implementation of the system uses the Visual Basic 2010 programming language and the method used in this study is the waterfall method. The results of the analysis carried out with the variables used are arrival time, number of guests, area of ​​origin and class of room chosen by guests, it is found that the itemset with the best pattern is influenced by the specified minimum support value.
利用先验算法对Rio Asri Bengkulu酒店的客人访问模式进行分析,得出规律并预测下一位客人的访问,为客人提供营销奖励,以提高其他客人定期或定期使用酒店服务的兴趣。先验分析被定义为找到满足最小支持度要求和最小置信度要求的所有规则的过程。系统的实现采用Visual Basic 2010编程语言,本研究采用的方法是瀑布法。以到达时间、客人数量、原产区域和客人选择的房间等级为变量进行分析,发现具有最佳模式的项目集受到指定的最小支持值的影响。
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引用次数: 0
Implementation of Blowfish Algorithm for Encryption and Decription on Android-Based QR Code 基于android的二维码加密与描述Blowfish算法的实现
Pub Date : 2022-12-13 DOI: 10.53697/jkomitek.v2i2.897
Z.A.W. Putra, Dedy Abdullah, Erwin Dwika Putra, Yulia Darmi
The development of technology is currently growing very rapidly which allows us to access various kinds of data and information, but there are lots of people who abuse this ability, for example phishing activities that often target data and information owned by individuals and companies. Loss of data and information is very detrimental to individuals and companies, where the data and information can be used as a tool for extortion, used as a fraud tool and even the information can be traded. The main reason for the importance of maintaining the security of information is to protect information from online crimes. One of the techniques designed to protect important and confidential information is a cryptographic technique using the Blowfish algorithm and also a QR Code which functions as second line security. where data and information that has been converted into a QR Code cannot be changed. The purpose of this study is to apply the Blowfish Algorithm for Encryption and Decryption of the QR Code into an android-based application system. The results of this study are: The blowfish algorithm can be implemented into an android-based application. Plaintext which is converted into ciphertext using the blowfish algorithm can be used as a QR Code using a QR Code generator. A QR code is up to 7089 numeric digits and 4296 alphanumeric characters. The amount of information will affect the QR Code module, so the symbols in the QR Code will become more complicated. This application has received an assessment from respondents from users with an average value (6.5) with the category of choice "agree".
目前,技术的发展非常迅速,使我们能够访问各种各样的数据和信息,但是有很多人滥用这种能力,例如网络钓鱼活动,经常针对个人和公司拥有的数据和信息。数据和信息的丢失对个人和公司都是非常不利的,这些数据和信息可以被用作敲诈勒索的工具,用作欺诈工具,甚至可以进行信息交易。维护信息安全的重要性的主要原因是保护信息免受网络犯罪。用于保护重要和机密信息的技术之一是使用Blowfish算法的加密技术,以及作为第二线安全功能的QR码。其中已转换为QR码的数据和信息不能更改。本研究的目的是将Blowfish二维码加解密算法应用到基于android的应用系统中。本研究的结果是:河豚算法可以在基于android的应用程序中实现。使用河豚算法转换为密文的明文可以使用QR码生成器用作QR码。一个QR码包含7089个数字和4296个字母数字字符。信息量会影响QR Code模块,因此QR Code中的符号会变得更加复杂。此应用程序已收到来自用户的受访者的评估,平均值(6.5),选择“同意”类别。
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引用次数: 0
Implementation of The Analytical Hierarchy (AHP) Process Method for The Selection of Decision Supports for The Selection of Your Lazismu Scholarship at Muhmmadiyah University Bengkulu 层次分析法(AHP)在本库鲁穆罕默德迪亚大学奖学金选择决策支持中的应用
Pub Date : 2022-12-13 DOI: 10.53697/jkomitek.v2i2.885
Harry Witriyono, Ardi Wijaya, Ujang Juhardi, Safitri Safitri
Proses seleksi dalam menentukan penerima beasiswa LazisMu di Universitas Muhammadiyah Bengkulu selama ini masih berpedoman pada kriteria penilaian serta persyaratan-persyaratan yang telah ditentukan. Berdasarkan observasi langsung di Universitas Muhammadiyah Bengkulu sistem penilaian dalam penentuan penerima beasiswa masih dilakukan secara konvensional atau manual. Maka dari itu, dengan tujuan membantu pihak LazisMu di Universitas Muhammadiyah Bengkulu diperlukan sistem pendukung keputusan dalam penentuan penerima beasiswa khususnya bagi mahasiswa yang berprestasi dan kurang mampu. sehingga dalam penyelesaiannya diperlukan sebuah sistem pendukung keputusan untuk multikriteria. Metode yang  diterapkan pada sistem pendukung keputusan  adalah AHP (analytical Hierarchy Process). Analitycal Hierarchy Process (AHP) merupakan metode yang banyak digunakan dalam kasus pembobotan kriteria dan penentuan prioritas setiap kriteria berdasarkan matriks perbandingan berpasangan. Hasil dari penelitian ini yaitu membantu memberikan rekomendasi pihak lazimu dalam menentukan penerima beasiswa.
决定你在Muhammadiyah Bengkulu大学获得lazse奖学金的选拔过程到目前为止还在规定的评估标准和要求方面提供指导。根据Muhammadiyah Bengkulu大学对受术者确定奖学金制度的直接观察,目前仍在进行传统或手工的评估。因此,为了帮助你在Muhammadiyah Bengkulu大学的教解员,需要一个支持决定奖学金的系统,特别是对于有成就和能力较低的学生。因此,在完成时,需要一种多标准的支持决策系统。用于支持决策系统的方法是AHP(分析过程)。分析过程(AHP)是一种广泛使用的方法,在破坏标准和确定基于对偶矩阵的每个标准的优先级。这项研究的结果是帮助为lazal推荐推荐奖学金。
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引用次数: 0
Cinema 21 Movie Trailer Catalog Application Android Based Cinema 21电影预告片目录应用程序基于Android
Pub Date : 2022-12-13 DOI: 10.53697/jkomitek.v2i2.898
Diana Diana, Irfan Ardianto
In this global era, the internet has penetrated various fields such as social, advertising, and business. With a large number of films, a film genre classification is made to assist users in finding and selecting the right films to watch. The genre in the film is the main element in a recommendation system, because with the classification of genres it can make it easier for the system to search for a film based on certain types. The string matching method, which is part of the string search process, plays an important role in getting documents that match your information needs more quickly. Simply by using a smartphone and internet access, people can enjoy various information on movie trailers. Then the problem is formulated how to make an android-based cinema 21 movie trailer catalog application with a string matching algorithm. Can improve better service to consumers, where consumers are expected to be able to access online so that consumers can find out information about movie trailers on the application.
在这个全球化的时代,互联网已经渗透到社会、广告、商业等各个领域。有了大量的电影,电影类型分类是为了帮助用户找到和选择合适的电影观看。电影的类型是推荐系统中的主要元素,因为有了类型的分类,系统可以更容易地根据特定类型搜索电影。字符串匹配方法是字符串搜索过程的一部分,它在更快地获得与您的信息需要匹配的文档方面起着重要作用。只要使用智能手机和互联网,人们就可以享受电影预告片的各种信息。然后阐述了如何使用字符串匹配算法制作基于android的cinema 21电影预告片目录应用程序的问题。可以提高对消费者的更好的服务,消费者在哪里都可以上网访问,这样消费者就可以在应用程序上找到关于电影预告片的信息。
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引用次数: 0
Web-Based Clothing Sales Information System at Target Factory Outlet 基于web的目标工厂直销服装销售信息系统
Pub Date : 2022-12-13 DOI: 10.53697/jkomitek.v2i2.910
Albert Albert, D. S. Naga, Ery Dewayani
Website “Sistem Informasi Penjualan Pakaian Berbasis Web Pada Target Factory Outlet” aimed at helping Target Factory Outlet to expand market share and increase the credibility of Target Factory Outlet itself. The results obtained are websites with the domain name ‘targetfo.store’ which have been hosted can be accessed by website visitors. The making of the website uses System Development Life Cycle (SDLC) method which is carried out in several phases namely analysis, design, implementation, installation, testing, and maintenance. This website uses several design tools, namely Flowchart, Data Flow Diagram, Entity Relationship Diagram, Context Diagram and Relationship Between Tables. Testing this website uses Black Box Testing and User Acceptance Test(UAT) method. This website is created using HTML and PHP programming languages and uses MySQL as a Database Management Software (DBMS). The website ‘targetfo.store’ has the advantage of having goods import reports, sales reports and financial reports that can be seen by Target Factory Outlet owner.
网站“system Informasi Penjualan Pakaian Berbasis Web Pada Target Factory Outlet”旨在帮助Target Factory Outlet扩大市场份额,提高Target Factory Outlet自身的信誉。所得结果为域名为“targetfo”的网站。已托管的Store '可由网站访问者访问。网站的制作采用系统开发生命周期(SDLC)方法,分分析、设计、实现、安装、测试和维护几个阶段进行。本网站使用了流程图、数据流程图、实体关系图、上下文图和表间关系图等设计工具。测试本网站使用黑盒测试和用户验收测试(UAT)方法。本网站使用HTML和PHP编程语言创建,并使用MySQL作为数据库管理软件(DBMS)。该网站的目标是。商店的优势是有货物进口报告,销售报告和财务报告,目标工厂直销店的老板可以看到。
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引用次数: 0
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