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Student Attendance Information System Using QR Code (Quick Response) At ITSNU Kalimantan 加里曼丹资讯科技大学使用QR码(快速反应)的学生出勤资讯系统
Pub Date : 2022-09-30 DOI: 10.38101/sisfotek.v12i2.548
Liyando Hermawan Hasibuan, Achmad Arif Munaji, Agatha Deolika, Nadya Chitayae, E. Setiawan
In this increasingly advanced era, Information Technology (IT) is unavoidable. Everyone is competing to find innovations that can improve their performance. Private Universities (PTS) in Indonesia are no exception. An educational institution's attendance list is the primary reference in monitoring student activities. Although this sector is critical, traditional data collection is still taking place. As a result, many problems arise, such as data loss, long charging times, long queues, overcrowding, and even affects student concentration. ITS NU Kalimantan is one of several private universities in Central Kalimantan and is still relatively new. Student attendance applications are designed and developed for more mature data collection to avoid problems that arise later. This study offers the use of web android-based technology equipped with a QR code feature. Based on the questionnaire results conducted on 45 respondents who used the UAT model, the perceived usefulness aspect was 82%, the perceived ease of use aspect was 84%, the perceived user acceptance aspect was 82%, and the average rating produced was 83%. This percentage shows that users respond positively to this attendance system.
在这个日益发达的时代,信息技术(IT)是不可避免的。每个人都在竞相寻找能够提高绩效的创新。印度尼西亚的私立大学(PTS)也不例外。教育机构的出勤名单是监督学生活动的主要参考。尽管这一部门至关重要,但传统的数据收集仍在进行。因此,出现了许多问题,如数据丢失,充电时间长,排队时间长,拥挤,甚至影响学生的注意力。它的NU Kalimantan是加里曼丹中部的几所私立大学之一,仍然相对较新。学生出勤应用程序的设计和开发是为了更成熟的数据收集,以避免以后出现的问题。这项研究提供了使用基于web的android技术配备了二维码功能。根据45名使用UAT模型的受访者的问卷调查结果,感知有用性方面为82%,感知易用性方面为84%,感知用户接受度方面为82%,产生的平均评分为83%。这个百分比表明用户对这个考勤系统的反应是积极的。
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引用次数: 0
Sentiment Analysis of Presidential Candidates Anies Baswedan and Ganjar Pranowo Using Naïve Bayes Method 基于Naïve贝叶斯方法的总统候选人Anies Baswedan和Ganjar Pranowo的情感分析
Pub Date : 2022-09-30 DOI: 10.38101/sisfotek.v12i2.552
Nurirwan Saputra, Karandi Nurbagja, Turiyan Turiyan
Presidential elections in Indonesia are carried out in a democratic manner in which the people choose the figures who will nominate themselves for president. With the presidential nomination, there will be many surveys of several figures who have electability to become presidential candidates. Based on a survey that has been issued by several figures who are running for president, namely Anies Baswedan and Ganjar Pranowo, who are the benchmarks for the community to be able to express their opinions from existing social media, one of which is Facebook. This study takes data through a scraping process which is then cleaned or cleaned, then five labels are given, namely: 1 (very negative), 2 (negative), 3 (neutral), 4 (positive), and 5 (very positive). aims to see which sentiment is the highest given by warganet to the upcoming presidential election. This study concludes that netizens have negative sentiments towards figures in the upcoming presidential election. seen from the data randomly generated 49% negative comments, 35% positive comments and 16% neutral. In addition, from 510 data taken by classification using the Naïve Bayes method, as well as testing using the 10-fold cross validation method with Quadgram tokenization resulted in an accuracy of 42.75%, precision 42.10%, and recall 42.70%.
印度尼西亚的总统选举以民主的方式进行,由人民选出提名自己为总统候选人的人物。随着总统候选人的提名,将会对几位有可能成为总统候选人的人进行多次调查。根据几位竞选总统的人物发布的一项调查,即Anies Baswedan和Ganjar Pranowo,他们是社区能够通过现有社交媒体表达意见的基准,其中一个是Facebook。本研究将数据通过一个抓取过程,然后对数据进行清理或清理,然后给出五个标签,分别是:1(非常负面)、2(负面)、3(中性)、4(正面)和5(非常正面)。在即将到来的总统选举中,军警们给出的最高评价是什么?本研究的结论是,网民对即将到来的总统选举的人物有负面情绪。从数据中可以看出,随机产生的负面评论占49%,正面评论占35%,中性评论占16%。此外,使用Naïve贝叶斯方法对510个数据进行分类,并使用带有Quadgram标记化的10倍交叉验证方法进行测试,准确率为42.75%,精密度为42.10%,召回率为42.70%。
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引用次数: 1
Application of IoT for Filling and Monitoring Water Tanks Using NodeMCU ESP8266 and MQTT Protocol 基于NodeMCU ESP8266和MQTT协议的物联网在水箱灌装和监控中的应用
Pub Date : 2022-09-30 DOI: 10.38101/sisfotek.v12i2.554
M. Julianti, Detin Sofia, Aldian Ridho Kusuma
In this research, a system has been designed that aims to prevent water wastage every time you fill a water reservoir. The design of the system is in the form of filling and monitoring automatic water reservoirs that go through 5 stages, namely tool prototype design, prototype making, making a series of tools, measuring and analyzing data. This tool utilizes the HC-SR04 sensor which will detect the water level in the water reservoir if the water level is 1-23 cm then the water reservoir is filled automatically and when the sensor distance from the water is 20 cm then the water reservoir will not be refilled. In designing this system using a NodeMCU ESP8266 microcontroller and the MQTT protocol which will run the control process on the system and process input data from sensors. The output will be displayed on the LCD (Liquid Crystal Display), MQTT Dash and Node-Red Dashboard in the form of the water level in the reservoir. The added relay functions as an automatic switch when turning off and turning on the water flowing in the reservoir. This can reduce the use of water as a medium for ablution that is wasted so that it becomes more effective and efficient.
在这项研究中,设计了一个系统,旨在防止每次填满水库时水的浪费。该系统的设计以自动水库充注监测为形式,经过工具样机设计、样机制作、一系列工具制作、数据测量分析5个阶段。该工具采用HC-SR04传感器,该传感器将检测水库中的水位,如果水位为1-23厘米,则水库自动填充,当传感器距离水为20厘米时,水库将不会重新填充。本系统采用NodeMCU ESP8266微控制器和MQTT协议对系统进行控制,并对传感器输入的数据进行处理。输出将以水库水位的形式显示在LCD(液晶显示器)、MQTT Dash和Node-Red仪表盘上。增加的继电器在关闭和打开水库中的水流时起自动开关的作用。这可以减少作为沐浴介质的水的浪费,使其变得更有效和高效。
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引用次数: 0
The Utilization of Decision Tree Algorithm In Order to Predict Heart Disease 决策树算法在心脏病预测中的应用
Pub Date : 2022-09-30 DOI: 10.38101/sisfotek.v12i2.551
M. Mia, Anis Fitri Nur Masruriyah, Adi Rizky Pratama
The data on heart disease patients obtained from the Ministry of Health of the Republic of Indonesia in 2020 explains that heart disease has increased every year and ranks as the highest cause of death in Indonesia, especially at productive ages. If people with heart disease are not treated properly, then in their effective period a patient can experience death more quickly. Thus, a predictive model that is able to help medical personnel solve health problems is built. This study employed the Random Forest and Decision Tree algorithm classification process by processing cardiac patient data to create a predictive model and based on the data obtained, showing that the data on heart disease was not balanced. Thus, to overcome the imbalance, an oversampling technique was carried out using ADASYN and SMOTE. This study proved that the performance of the ADASYN and SMOTE oversampling techniques on the C45 algorithm and the Random Forest Classifier had a significant effect on the prediction results. The usage of oversampling techniques to analyze data aims to handle unbalanced datasets, and the confusion matrix is used for testing Precision, Recall, and F1-SCORE, as well as Accuracy. Based on the results of research that has been carried out with the K-Fold 10 testing technique and oversampling technique, SMOTE + RF is one of the best oversampling techniques which has a greater Accuracy of 93.58% compared to Random Forest without SMOTE of 90.51% and SMOTE + ADASYN of 93.55%. The application of the SMOTE technique was proven to be able to overcome the problem of data imbalance and get better classification results than the application of the ADASYN technique.
2020年从印度尼西亚共和国卫生部获得的关于心脏病患者的数据解释说,心脏病每年都在增加,是印度尼西亚的最高死亡原因,特别是在生产年龄。如果心脏病患者没有得到适当的治疗,那么在他们的有效期内,病人可能会更快地死亡。从而建立一个能够帮助医务人员解决健康问题的预测模型。本研究采用随机森林和决策树算法分类过程,通过对心脏病患者数据进行处理,建立预测模型,并基于所获得的数据,表明心脏病数据不均衡。因此,为了克服这种不平衡,采用ADASYN和SMOTE进行过采样技术。本研究证明了ADASYN和SMOTE过采样技术对C45算法和随机森林分类器的性能对预测结果有显著影响。使用过采样技术分析数据的目的是处理不平衡的数据集,混淆矩阵用于测试Precision, Recall, F1-SCORE以及Accuracy。基于K-Fold 10测试技术和过采样技术的研究结果,SMOTE + RF是最好的过采样技术之一,其准确率为93.58%,而没有SMOTE的Random Forest和SMOTE + ADASYN的准确率分别为90.51%和93.55%。应用SMOTE技术可以克服数据不平衡的问题,得到比应用ADASYN技术更好的分类结果。
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引用次数: 0
Development of Virtual Reality Applications as a Media for Digitizing Cultural Heritage in the Historic Building of the Banten Caringin Mosque 虚拟现实技术在万丹卡林清真寺历史建筑文化遗产数字化中的应用
Pub Date : 2022-09-30 DOI: 10.38101/sisfotek.v12i2.546
E. Junaedi, Fithri Wulandari, I. Icha
The Caringin Banten Mosque is a historic relic that must be preserved and introduced to the public, but the condition of the historic mosque in Banten is no longer visible, therefore digitalization is needed so that people can know the historical events of the mosque. The technology that can be used to digitize the mosque building is Virtual Reality, which is a technology that allows users to see and interact with an environment that is simulated by a computer, so that users feel they are in that environment. Virtual Reality can be applied to various devices, one of which is currently widely used, namely Android. The purpose of this research is to produce a Virtual Reality application for the Caringin Banten Mosque based on an Android smartphone, with the hope of making it easier for the public to know and learn about the historical heritage of the Caringin Banten Mosque. This research method uses the Waterfall model from the SDLC. The stages are divided into 6 namely: System modeling, Software requirements analysis, Design, Coding, Testing and Maintenance. The author uses Blender software to create three-dimensional objects, then uses Unity software to create virtual reality applications. Based on testing, the application
Caringin万丹清真寺是历史遗迹,必须保存并向公众介绍,但万丹历史清真寺的状况已不再可见,因此需要数字化,以便人们可以了解清真寺的历史事件。可用于将清真寺建筑数字化的技术是虚拟现实,这是一种允许用户看到计算机模拟的环境并与之互动的技术,因此用户感觉他们就在那个环境中。虚拟现实可以应用于各种设备,其中一个是目前使用广泛的,即Android。本研究的目的是制作一个基于Android智能手机的Caringin Banten清真寺的虚拟现实应用程序,希望能让公众更容易地了解和了解Caringin Banten清真寺的历史遗产。本研究方法采用SDLC中的瀑布模型。阶段分为6个,即:系统建模、软件需求分析、设计、编码、测试和维护。作者使用Blender软件创建三维物体,然后使用Unity软件创建虚拟现实应用程序。基于测试,应用程序
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引用次数: 0
Decision Support System for Determining Vaccination Priorities Using the AHP TOPSIS Method 利用AHP TOPSIS方法确定疫苗接种优先级的决策支持系统
Pub Date : 2022-09-30 DOI: 10.38101/sisfotek.v12i2.555
Rachmat Agusli, M. Julianti, Ardian Winata
Vaccination is the administration of vaccines to a living being to stimulate the formation of an immune system against a virus, while mass vaccination is the simultaneous administration of vaccines to a group in the form of organizations, companies, or the wider community to create herd immunity. However, with the limited number of vaccines available, it is not possible to carry out a thorough vaccination of a group with a very large number of members. It requires determining in advance who will be prioritized for the vaccine. The purpose of this study is to build a system that can automatically determine vaccination priorities to be more effective and efficient by implementing a decision support system using the Analytical Hierarchy Process (AHP) method and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The result of this study is the formation of a Web-based decision support system application that produces the output of alternative ranking sequences as objects that will be prioritized for vaccines based on calculations against predetermined criteria.
疫苗接种是指对生物注射疫苗,以刺激形成针对病毒的免疫系统,而大规模疫苗接种是指以组织、公司或更广泛的社区的形式同时对一个群体注射疫苗,以产生群体免疫力。然而,由于可用的疫苗数量有限,不可能对人数众多的群体进行彻底的疫苗接种。这需要事先确定谁将优先接种疫苗。本研究的目的是通过采用层次分析法(AHP)方法和TOPSIS (Order Preference by Similarity to Ideal Solution)方法实现决策支持系统,建立一个能够更有效和高效地自动确定疫苗接种优先级的系统。这项研究的结果是形成了一个基于web的决策支持系统应用程序,该应用程序根据预先确定的标准进行计算,产生可选择的排序序列作为优先接种疫苗的对象的输出。
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引用次数: 0
Web-Based Learning Design and its Implementation on TOEIC Reading Skills to Measure the Usability and Learning Outcome A Case Study at Global Institute 基于网络的托业阅读技能学习设计及其实施——以全球学院为例
Pub Date : 2022-09-23 DOI: 10.38101/sisfotek.v12i2.536
S. Maisaroh, Detin Sofia
Test of English for International Communication (TOEIC) is a compulsory subject taught to all students regardless their chosen concentration. The subject covering the consecutive two semesters at Institut Bisnis dan Teknologi Bina Sarana Global has been given for the past five years. Nevertheless, the students’ achievement is still considered low, where the average scores for both mid and final semester paper-test based haven’t met the expected target. TOEIC itself tests students’ ability to comprehend reading texts encompassing grammar, sentence structure and vocabulary. This becomes a challenge since the majority of students have below average English competence. In contrast, their access to technology is deemed adequate, thus, its implementation towards learning can be a contributing factor to a better learning outcome by providing engagement with the technology itself. In line with the development of technology and to accommodate students’ learning needs with various motivation and abilities, a scheme for developing learning materials through a web design was proposed. The researchers used SLDC for the design method, focusing on prototyping model through phases from generating users’ needs, designing prototype using figma application, putting into trials and practices to conducting evaluation. As for the application, a PHP programming language with Codeigniter 4, programming MySQL as a database system, Bootsrap for website outlook, Black Box Testing with Equivalence Partitions Technique and Beta Testing through questionnaire become the framework for the proposed design. After the implementation was completed, a good result with a percentage of 71% for the usability of the application was shown and that students achieved better scores in the given practice tests.
托业(TOEIC)是所有学生的必修科目,无论他们选择的专业是什么。在过去的五年里,比纳萨拉纳全球理工学院连续两个学期都开设了这门课程。然而,学生的成绩仍然很低,在中期和期末的纸考中,学生的平均成绩都没有达到预期目标。托业本身测试学生理解阅读文本的能力,包括语法、句子结构和词汇。这是一个挑战,因为大多数学生的英语水平低于平均水平。相比之下,他们获得技术的机会被认为是足够的,因此,通过提供与技术本身的接触,技术对学习的实施可以成为一个促进更好的学习结果的因素。为配合科技的发展,以及照顾不同动机和能力的学生的学习需要,我们提出了一个透过网页设计来发展学习资料的方案。研究人员将SLDC作为设计方法,从产生用户需求、使用figma应用程序设计原型、投入试验和实践到进行评估,重点关注模型原型。在应用方面,采用Codeigniter 4的PHP编程语言,MySQL作为数据库系统的编程,Bootsrap作为网站的outlook,采用等效分区技术进行黑盒测试,通过问卷进行Beta测试,成为本次设计的框架。实施完成后,应用程序的可用性显示出71%的良好结果,学生在给定的练习测试中取得了更好的成绩。
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引用次数: 1
Augmented Reality Technology for Learning Introduction Media of Various Vegetables Android Based using Unity 基于Unity Android的增强现实学习介绍技术
Pub Date : 2022-03-30 DOI: 10.38101/sisfotek.v12i1.479
Agustinus Sirumapea, Syaipul Ramdhan, F. Ferawati, Rio Nurrizkiyadi
Technological developments are getting faster over time in all fields and in various sectors, one of the fast developments is gadgets. This affects people at various ages who make gadgets as a medium of information and also learning media for children. Early childhood is the most important period in human life. This is because at an early age children are sensitive to receiving external stimuli, so that children must be given educational stimuli to help physical and spiritual growth and development so that children have readiness to enter education at a further level. The application of Augmented Reality for learning media for the introduction of various vegetables aims to make it easier for Kindergarten and PAUD teachers to deliver learning materials for the introduction of various vegetables to children and is also more interactive because there is additional media for Augmented Reality marker cards that can be scanned with a camera. smartphone and take out a 3D object from the shape of a real vegetable. In this application, there are also practice questions that can be done to train children's memory after getting to know 10 kinds of vegetables. This application can be used on smartphones with the Android operating system.
随着时间的推移,所有领域和各个部门的技术发展都越来越快,其中一个快速发展的是小工具。这影响了不同年龄的人,他们制造小工具作为信息媒介,也是孩子们学习的媒介。幼儿期是人一生中最重要的时期。这是因为儿童在很小的时候对接受外界刺激是敏感的,所以必须给予儿童教育刺激,以帮助儿童的身体和精神的成长和发展,使儿童为进入更深层次的教育做好准备。将扩增实境应用于各种蔬菜介绍的学习媒体,目的是让幼稚园及PAUD教师更容易向幼儿传授各种蔬菜介绍的学习资料,同时也增加了扩增实境标记卡的额外媒体,可以用相机扫描。用智能手机从真正的蔬菜形状中取出一个3D物体。在这个应用中,还可以做练习题,在了解了10种蔬菜之后,训练孩子的记忆。此应用程序可以在Android操作系统的智能手机上使用。
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引用次数: 1
Forecasting Information System with Single Exponential Smoothing Method in Pharmaceutical Companies PT. Priest Nirmala/Fahrenheit 医药企业单指数平滑法预测信息系统[j]
Pub Date : 2022-03-30 DOI: 10.38101/sisfotek.v12i1.480
Nunung Nurmaesah, R. Sirait, Anirotul Hikmah
Forecasting systems play an important role in business and economics. In the planning of drug production at PT. Pratapa Nirmala is still semi-computerized, which is limited to recording using the Microsoft Excel program and has not used definite methods or tools, thus allowing for human errors and significant differences between forecasting and actual sales which will affect stock out and over-stock drug supplies. Forecasting is a calculation analysis technique that is carried out with qualitative and quantitative approaches to predict future events using data from the past. The method used is observation, interview, and research, and the type of research used is quantitative and qualitative with descriptive analysis. This system uses an object-oriented design method with UML (Unified Modeling Language). The programming language used is the PHP programming language with MySQL database and the forecasting method used is Single Exponential Smoothing by considering the Mean Absolute Percentage Error (MAPE) value. After the calculation, obtained with an alpha value of 0.9, where the value of the Mean Absolute Percentage Error generated is 16%. and the form of the forecasting equation model is Ft = Ft-1 + a (At-1 – Ft-1). So this forecast is feasible and can be applied.
预测系统在商业和经济中发挥着重要作用。在PT. Pratapa Nirmala的药品生产计划中,仍然是半电脑化的,仅限于使用Microsoft Excel程序进行记录,并没有使用明确的方法或工具,从而允许人为错误和预测与实际销售之间的显着差异,从而影响缺货和库存过剩的药品供应。预测是一种计算分析技术,采用定性和定量方法,利用过去的数据预测未来事件。使用的方法是观察、访谈和研究,研究类型是定量和定性与描述性分析。本系统采用面向对象的设计方法,结合UML(统一建模语言)进行设计。采用PHP编程语言,MySQL数据库,采用单指数平滑法,考虑平均绝对百分比误差(MAPE)值。计算后,得到alpha值为0.9,其中生成的Mean Absolute Percentage Error的值为16%。预测方程模型的形式为Ft = Ft-1 + a (At-1 - Ft-1)。因此,该预测是可行的,具有一定的应用价值。
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引用次数: 0
Forecasting Model Number Production of Car Spare Parts at PT. Showa Katou Indonesia with Arima Method 用Arima方法预测印尼昭和卡托工厂汽车零配件产量模型
Pub Date : 2022-03-30 DOI: 10.38101/sisfotek.v12i1.478
Cici Emilia Sukmawati, Ayu Ratna Juwita
In the case of single part production planning at PT Showa Katou Indonesia The problem is the production plan is only a production schedule, the schedule is made only two times (morning and evening) in a day. The schedule is created after the Production Planning Inventory Control (PPIC) contacts the customer to ascertain what the customer needs. After knowing what the customer needs, a production schedule and planning are made. The impact of this erratic production schedule causes loss of production time because if there is no demand then nothing is done by workers and the machine stops production because they have to wait for an erratic production schedule. Another impact is the absence of stock in the warehouse and delays in delivery because they are only waiting for the production schedule from PPIC and waiting for finished goods to be produced. To reduce the bad impact, it is necessary to forecast production planning with data mining methods to help these problems. The method used is the ARIMA method with the model (p,d,q) (1,1,1). The results of testing using tools and manual testing showed significant values with MAD = 52.45, MSE = 3917.84, MAPE = 0.05.
在印度尼西亚PT昭和卡头的单零件生产计划的情况下,问题是生产计划只是一个生产计划,计划在一天中只做两次(早上和晚上)。计划是在生产计划库存控制(PPIC)联系客户以确定客户需求之后创建的。在了解客户需求后,制定生产计划和计划。这种不稳定的生产计划的影响导致了生产时间的损失,因为如果没有需求,工人就什么都不做,机器就会停止生产,因为他们必须等待不稳定的生产计划。另一个影响是仓库没有库存和交货延迟,因为他们只是在等待PPIC的生产计划,等待成品生产出来。为了减少不良影响,有必要利用数据挖掘方法预测生产计划来帮助解决这些问题。使用的方法是ARIMA方法,模型为(p,d,q)(1,1,1)。工具检测和手工检测结果均有统计学意义,MAD = 52.45, MSE = 3917.84, MAPE = 0.05。
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引用次数: 0
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