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Analysis of Air Pollution Levels in DKI Jakarta Province Using the Mamdani Fuzzy Inference System Method 利用Mamdani模糊推理系统方法分析雅加达省DKI空气污染水平
IF 1.2 Q3 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2020-07-20 DOI: 10.31289/jite.v4i1.3804
Akmal Dirgantara, A. Fauzi, Ginabila Ginabila
This study aims to measure the level of air pollution determined by pollutant gases contained in the air. Pollutants that measure air pollution are PM10 (Special Material), SO2 (Sulfur), NO2 (Nitrogen Oxide), CO (Carbon Monoxide, O3 (Ozone), and NO2 (Nitrogen Oxide), which are related to vehicle use and, according to the choice this pollutant threshold, we will discuss the level of air pollution with the fuzzy mamdani inference method. The results of the pollutant threshold study will then be applied to the rules / rules that are applied using the if-then rules and then the input variables are arranged using weighted averages, variable averages weighted will be determined higher into three levels: low, medium and high. Keywords Decision Tree, Feature Selection, Optimization of Lecturer Assistant Performance, Particle Swarm Optimization.
这项研究的目的是测量空气中含有的污染气体所决定的空气污染水平。测量空气污染的污染物是PM10(特殊材料)、SO2(硫)、NO2(氮氧化物)、CO(一氧化碳)、O3(臭氧)和NO2(氮氧化物),这些污染物与车辆使用有关,根据污染物阈值的选择,我们将用模糊mamdani推理方法讨论空气污染水平。然后将污染物阈值研究的结果应用于使用if-then规则的规则/规则,然后使用加权平均值安排输入变量,加权后的变量平均值将被确定为低、中、高三个级别。关键词决策树,特征选择,讲师助理性能优化,粒子群优化。
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引用次数: 0
Attribute Selection in Naive Bayes Algorithm Using Genetic Algorithms and Bagging for Prediction of Liver Disease 基于遗传算法和Bagging的朴素贝叶斯算法属性选择用于肝脏疾病预测
IF 1.2 Q3 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2020-07-20 DOI: 10.31289/jite.v4i1.3793
Dwi Yuni Utami, Elah Nurlelah, Noer Hikmah
Liver disease is an inflammatory disease of the liver and can cause the liver to be unable to function as usual and even cause death. According to WHO (World Health Organization) data, almost 1.2 million people per year, especially in Southeast Asia and Africa, have died from liver disease. The problem that usually occurs is the difficulty of recognizing liver disease early on, even when the disease has spread. This study aims to compare and evaluate Naive Bayes algorithm as a selected algorithm and Naive Bayes algorithm based on Genetic Algorithm (GA) and Bagging to find out which algorithm has a higher accuracy in predicting liver disease by processing a dataset taken from the UCI Machine Learning Repository database (GA). University of California Invene). From the results of testing by evaluating both the confusion matrix and the ROC curve, it was proven that the testing carried out by the Naive Bayes Optimization algorithm using Algortima Genetics and Bagging has a higher accuracy value than only using the Naive Bayes algorithm. The accuracy value for the Naive Bayes algorithm model is 66.66% and the accuracy value for the Naive Bayes model with attribute selection using Genetic Algorithms and Bagging is 72.02%. Based on this value, the difference in accuracy is 5.36%. Keywords: Liver Disease, Naive Bayes, Genetic Agorithms, Bagging.
肝病是肝脏的炎症性疾病,可导致肝脏不能正常工作,甚至导致死亡。根据世界卫生组织的数据,每年有近120万人,特别是在东南亚和非洲,死于肝病。通常出现的问题是很难在早期识别肝脏疾病,即使疾病已经扩散。本研究旨在通过对UCI Machine Learning Repository数据库(GA)的数据集进行处理,比较和评价作为选择算法的朴素贝叶斯算法与基于遗传算法(GA)和Bagging的朴素贝叶斯算法,找出哪一种算法在预测肝脏疾病方面具有更高的准确性。加州大学发明分校)。从评估混淆矩阵和ROC曲线的测试结果可以看出,使用Algortima Genetics和Bagging进行的朴素贝叶斯优化算法比只使用朴素贝叶斯算法进行的测试具有更高的精度值。朴素贝叶斯算法模型的准确率值为66.66%,使用遗传算法和Bagging进行属性选择的朴素贝叶斯模型的准确率值为72.02%。基于此值,准确率差为5.36%。关键词:肝病,朴素贝叶斯,遗传算法,Bagging
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引用次数: 2
Android-based GO-COURSE Application with Location Based Services Method 基于android的GO-COURSE应用程序与基于位置的服务方法
IF 1.2 Q3 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2020-07-20 DOI: 10.31289/jite.v4i1.3765
Taufik Rahman, M. U. Nuha, H. Kuswanto, Felix Wuryo Handono
Advances in technology in the field of Android-based applications are expected to bring changes in the world of education intended for English language education. At present the method of searching institute courses that are present in a variety of applications offered, but the existing applications are not yet complete on this matter related to the applications offered do not meet the specific needs of the course institution search applications that are provided in the English village pare. LBS and algotima dijkstra can be used in the analysis and design of android-based applications, it is required an application to search for locations such as applications needed by user in addition to places of study can also find a place to spend the night while studying, where traveling provides the facilities that have been provided. The results of the Go-Course application can conclude that it must meet the needs of users to carry out the process of finding a chair, boarding house, boarding house and travel package from a smartphone by providing a fairly accurate position. By applying the Djikstra algorithm to the Go-Course Application, you can set the shortest route to the boarding house and boarding house with the user's position and current distance in the form of a map. All functions in the Go-Cource application for finding seats, boarding, boarding and tour packages can run correctly through Blackbox Testing and in accordance with manufacturing recommendations. Keywords: LBS, Dijkstra, Android, GPS, Go-Course.
基于android的应用程序领域的技术进步有望给英语教育带来变化。目前机构课程的检索方法存在于各种各样的应用程序中,但是现有的应用程序还不完整,这与所提供的应用程序不符合课程机构检索应用程序所提供的具体需求有关。LBS和algotima dijkstra可以用于基于android的应用程序的分析和设计,它需要一个应用程序搜索位置,如用户需要的应用程序除了学习的地方,还可以找到一个地方过夜,而学习,在那里旅行提供了已经提供的设施。Go-Course应用程序的结果可以得出结论,它必须满足用户的需求,通过提供一个相当准确的位置,从智能手机进行找椅子、找公寓、找公寓和找旅行套餐的过程。通过将Djikstra算法应用到Go-Course Application中,您可以设置到寄宿公寓的最短路线,并以地图的形式显示用户的位置和当前距离。Go-Cource应用程序中查找座位、登机、登机和旅游套餐的所有功能都可以通过黑匣子测试并根据制造建议正确运行。关键词:LBS, Dijkstra, Android, GPS, Go-Course
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引用次数: 1
Design of Simulation Definite Integral Application learning Using Trapezoid Method based on VB.Net 基于VB的梯形法模拟定积分应用学习设计。网
IF 1.2 Q3 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2020-07-20 DOI: 10.31289/jite.v4i1.3880
N. Dharshinni, A. Saleh, F. Azmi, I. Fawwaz
The definite integral is one of the subjects that is difficult for students to understand because the process of calculating definite integral of functions is quite complicated and long because it requires mastery of some integrating rules so an interactive learning simulation application is needed to make it easier for students to calculate definite integral of functions and the depiction of the area the curve. One method for calculating definite integrals is the trapezoid method. The trapezoid method works by dividing the boundary into 2 intervals namely x = x0 to x = x1. Simulation media application learning will be designed with the VB.Net programming language. This simulation media learning starts with reading and checking data input. The process is continued by displaying the depiction of the input curve and ending with calculating the area of the curve. Simulation media learning provides a facility to store the input data, the results of the calculation of the area and the image of the curve function in the image format of * .bmp. In this media, the media and material expert’s the results of the average are produced by 88.68% included into media category is very valid media and the results of pre-test and post-test trials showed an increase with an average value of 48.3 for pre-test and 87 for the post-test of the passing grade requirement of 70. Keywords: Definite Integral, Trapezoid Method,VB.Net, Media Validation.
定积分是学生比较难理解的学科之一,因为计算函数定积分的过程比较复杂,时间长,需要掌握一些积分规则,因此需要一个交互式学习模拟应用程序,使学生更容易计算函数定积分和曲线面积的描绘。计算定积分的一种方法是梯形法。梯形法的工作原理是将边界划分为两个区间,即x = x0到x = x1。仿真媒体学习应用程序将用VB进行设计。Net编程语言。这种模拟媒体学习从阅读和检查数据输入开始。该过程继续显示输入曲线的描述,并以计算曲线的面积结束。模拟媒体学习提供了一个存储输入数据、面积计算结果和曲线函数图像的工具,图像格式为* .bmp。在该媒体中,媒体和材料专家的结果平均值为88.68%,被纳入媒体类别的是非常有效的媒体,前测和后测试验的结果均有所增加,前测平均值为48.3,后测平均值为87,合格等级要求为70。关键词:定积分,梯形法,VB。Net,媒体验证。
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引用次数: 0
Sentiment Analysis on Corona Virus Pandemic Using Machine Learning Algorithm 基于机器学习算法的冠状病毒大流行情绪分析
IF 1.2 Q3 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2020-07-20 DOI: 10.31289/jite.v4i1.3798
Ricky Risnantoyo, A. Nugroho, Kresna Mandara
Corona virus outbreaks that occur in almost all countries in the world have an impact not only in the health sector, but also in other sectors such as tourism, finance, transportation, etc. This raises a variety of sentiments from the public with the emergence of corona virus as a trending topic on Twitter social media. Twitter was chosen by the public because it can disseminate information in real time and can see market reactions quickly. This research uses "tweet" data or public tweet related to "Corona Virus" to see how the sentiment polarity arises. Text mining techniques and three machine learning classification algorithms are used, including Naive Bayes, Support Vector Machine (SVM), K-Nearest Neighbor (K-NN) to build a tweet classification model of sentiments whether they have positive, negative, or neutral polarity. The highest test results are generated by the Support Vector Machine (SVM) algorithm with an accuracy value of 76.21%, a precision value of 78.04%, and a recall value of 71.42%. Keywords: Machine Learning, Corona Virus, Twitter, Sentiment Analysis.
在世界上几乎所有国家都发生的冠状病毒疫情不仅对卫生部门产生影响,而且对旅游、金融、交通等其他部门也产生影响。随着冠状病毒在推特(Twitter)上成为热门话题,引发了国民的各种情绪。公众之所以选择Twitter,是因为它可以实时传播信息,并且可以快速看到市场的反应。该研究利用“推特”数据或与“冠状病毒”相关的公开推文,观察情绪极性是如何产生的。使用文本挖掘技术和三种机器学习分类算法,包括朴素贝叶斯,支持向量机(SVM), k -近邻(K-NN),构建tweet情绪分类模型,无论它们是积极的,消极的还是中性的极性。支持向量机(SVM)算法生成的测试结果最高,准确率为76.21%,精密度为78.04%,召回率为71.42%。关键词:机器学习,冠状病毒,Twitter,情感分析。
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引用次数: 10
Security Design And Testing of Lan and Wlan Network in Mikrotik Router Using Penetration Testing Method FROM Mitm Attack 基于Mitm攻击渗透测试方法的micro - tik路由器Lan和Wlan网络安全设计与测试
IF 1.2 Q3 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2020-07-20 DOI: 10.31289/jite.v4i1.3832
H. .
The growth of device user is always increasing and the costs are not expensive. Users already have several sophisticated end user networking tools for daily use, including laptops, smartphones and tablets. For internet access users use LAN and WLAN network services in several public areas such as restaurants, schools / campuses, hotels and offices. Activities done by the users are data and banking transactions. These activities relate to crucial data such as user data including usernames, passwords, accounts, emails and other sensitive data. Mikrotik Router is a router with an affordable price and complete features for both LAN and WLAN networks so that many administrators use this device. The most common attack used on the network is Man in the Middle Attack, which is actively tapping on the user's network connection, where traffic from the user before reaching the destination or when going through a Mikrotik router will be diverted through the attacker's network without the user's knowledge so that user communication can be read. Therefore a network security system on a Mikrotik router is needed to avoid such attacks. In testing the security system that has been made, it needs the right method, one of which is penetration testing. From the results of testing using the penetration testing method, results and solutions will be obtained to maintain network security. Keywords: Penetration Testing, Man in The Middle Attack, Wireless Security, Router dan Wireless Mikrotik.
设备用户的增长一直在增加,成本并不昂贵。用户已经拥有了几种复杂的终端用户日常使用的网络工具,包括笔记本电脑、智能手机和平板电脑。对于互联网接入用户使用局域网和无线局域网网络服务在几个公共区域,如餐馆,学校/校园,酒店和办公室。用户完成的活动是数据和银行事务。这些活动涉及关键数据,如用户数据,包括用户名、密码、帐户、电子邮件和其他敏感数据。Mikrotik Router是一款价格合理、功能齐全的路由器,适用于LAN和WLAN网络,因此许多管理员都使用该设备。在网络上使用的最常见的攻击是中间人攻击(Man in The Middle attack),它是主动利用用户的网络连接,在用户到达目的地之前或经过microtik路由器时,流量将在用户不知情的情况下通过攻击者的网络被转移,从而可以读取用户的通信。因此,需要在microtik路由器上安装网络安全系统来避免此类攻击。在对已制成的安全系统进行测试时,需要采用正确的方法,其中一种方法就是渗透测试。通过使用渗透测试方法进行测试,得到维护网络安全的结果和解决方案。关键词:渗透测试;中间人攻击;无线安全;
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引用次数: 1
Analysis Role of Digital Marketing and Self Image Improving Student Self Presentation in Batam Using Instagram 运用Instagram提升巴淡岛学生自我呈现的数字营销与自我形象分析
IF 1.2 Q3 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2020-07-20 DOI: 10.31289/jite.v4i1.3849
M. Ardiansyah
Nowadays Students often use social media as a tool to communicate and search for a lot of information, social media can also influence changes in the self-image of students shared on social media. This study aims to determine the large social media users of Instagram among students, to analyze Instagram social media as a tool used by students in self-development and self-image, to know the importance of digital marketing in shaping student self-image, analyzing the development of students' Self Presentations, knowing how large students in showing self-image using Instagram social media, knowing the importance of Self Presentation within the university. This study uses variables namely digital marketing, and Self Image as independent variables, Self Presentation as the dependent variable. The target respondents of this study were all university students in the city of Batam by using a sample of 392 students. This research concluded that self image plays a role in shaping student self-appearance because students try to look neat and attractive when uploading videos on Instagram Stories about themselves, wanting to look good in photos or videos, so users can display a good image and other Instagram users who see can give good comments as well. Keywords: Social Media, Instagram, Digital Marketing, Self Image, Self Presentation.
现在的学生经常使用社交媒体作为交流和搜索大量信息的工具,社交媒体也可以影响学生在社交媒体上分享的自我形象的变化。本研究旨在确定学生中Instagram的大型社交媒体用户,分析Instagram社交媒体作为学生自我发展和自我形象的工具,了解数字营销在塑造学生自我形象方面的重要性,分析学生自我展示的发展情况,了解学生使用Instagram社交媒体展示自我形象的程度,了解自我展示在大学中的重要性。本研究以数字营销为变量,以自我形象为自变量,自我呈现为因变量。本研究的目标调查对象为巴淡市的所有大学生,样本为392名学生。这项研究的结论是,自我形象在塑造学生的自我形象方面发挥着作用,因为学生在Instagram上上传关于自己的视频时,会尽量让自己看起来整洁有吸引力,想要在照片或视频中看起来很好,这样用户就可以展示一个好的形象,其他看到的Instagram用户也可以给出好的评论。关键词:社交媒体,Instagram,数字营销,自我形象,自我呈现
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引用次数: 0
Calculation Application for Subnetting IPv4 Address on Android 基于Android的IPv4地址子网划分计算应用
IF 1.2 Q3 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2020-07-20 DOI: 10.31289/jite.v4i1.3827
S. Hidayatulloh, Prawira Maulana Ilham, M. Lase
Calculation of subnetting IP Address manually is quite time consuming and difficult for people who are just learning. With current smartphone technology, especially those using the Android operating system. There are many things that can be done with smartphones nowadays, including studying subnetting IP address calculations. The purpose of this study is to design and build a mobile application to facilitate the study of subnetting IP Address calculations with the Android operating system. The research method used is a waterfall with stages of requirements, design, implementation, and testing. This research resulted in a mobile application for calculating IP Address subnetting that will facilitate studying and accelerating the calculation of IP Address subnetting. This application is able to search for subnet masks, number of subnets, number of hosts per subnet, IP broadcast, IP range, network ID, and there is a theoretical explanation of the IP Address, prefix, and range of each class of IP Address. The results of the study are indicated by the level of eligibility of this application based on a questionnaire from users with results, 41% strongly agree, 44% agree, 13% neutral, and 2% disagree. Keywords: IP Address, Subneting, Application, Android.
手工计算子网IP地址对于刚开始学习的人来说是非常耗时和困难的。以目前的智能手机技术,尤其是使用安卓操作系统的智能手机。如今,智能手机可以做很多事情,包括研究子网IP地址的计算。本研究的目的是设计并构建一个移动应用程序,以方便研究在Android操作系统下的子网IP地址计算。所使用的研究方法是具有需求、设计、实现和测试阶段的瀑布。本研究产生了一个计算IP地址子网划分的移动应用程序,这将有助于研究和加快IP地址子网划分的计算。该应用程序可以搜索子网掩码、子网数量、每个子网的主机数量、IP广播、IP范围、网络ID,并对IP地址、前缀和每一类IP地址的范围进行理论解释。研究的结果是根据用户的问卷调查结果表明该应用程序的资格水平,41%非常同意,44%同意,13%中立,2%不同意。关键词:IP地址,子网划分,应用,Android
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引用次数: 1
Analysis of the classification of terrorist attacks in Indonesia 印尼恐怖袭击的分类分析
IF 1.2 Q3 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2020-07-20 DOI: 10.31289/jite.v4i1.3788
Mufid Junaedi, Ahmad Fachrurozi, Mochammad Rizky Kusumayudha, W. Gata
Terrorist attacks are now being global issue both in developing and developed countries. There are more than 180,000 terrorist attacks in 1970-2017. Indonesia is one of the countries attacked by terorist. Bombings and firearms cause fatalities. Classification of terorist attacks can be performed based on either the attack succed or not. Succed attack is defined as an unavoided action that caused fatalities. There are seven attributes studied in this paper: year, month, attack type, terorist name, target attack, city, and weapon type uses to attack. Evaluations shows that k-NN classiefier exerts the highest accuracy of 90.79%, followed by naive bayes 80.45%, and C4.5 of 88.825%. Keywords: Indonesia Terrorist, Classification Algorithm, Terorist Algorithm Classification.
恐怖袭击在发展中国家和发达国家都是全球性问题。1970年至2017年期间,发生了超过18万起恐怖袭击事件。印度尼西亚是遭受恐怖袭击的国家之一。爆炸和火器造成死亡。恐怖袭击可以根据袭击成功与否进行分类。成功的攻击被定义为造成死亡的不可避免的行为。本文研究了7个属性:年、月、攻击类型、恐怖分子姓名、攻击目标、城市、攻击武器类型。评价结果表明,k-NN分类器的准确率最高,达到90.79%,其次是朴素贝叶斯,准确率为80.45%,C4.5为88.825%。关键词:印尼恐怖分子,分类算法,恐怖分子分类算法。
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引用次数: 0
Analysis Naïve Bayes In Classifying Fruit by Utilizing Hog Feature Extraction 利用Hog特征提取对水果进行分类Naïve贝叶斯分析
IF 1.2 Q3 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2020-07-20 DOI: 10.31289/jite.v4i1.3860
Muhathir Muhathir, M. H. Santoso
Indonesia has abundant natural resources, especially the results of its plantations. Lots of local fruit that can be used starting from the root to the skin of the fruit. Local fruit can be consumed as fresh fruit and can also be processed into drinks and food. This is reflected in the diversity of tropical fruits found in Indonesia. Fruits that are rich in benefits and can be used as medicines such as Apples, Avocados, Apricots, and Bananas. These fruits are often found around us. In Indonesia these fruits are produced and also exported abroad. However, the limited methods and technology used to classify this fruit are interesting things to discuss and become the main focus in this research. This study analyzed using the Naive Bayes algorithm and feature extraction of HOG (Oriented Gradient Histogram) to obtain more effective classification results. The results showed that the collection of fruit using the Naive Bayes method and HOG feature extraction had not yet obtained maximum classification results, only with an accuracy of 56.52%. Keywords – Apple, Avocado, Apricot, Banana, Naive Bayes, HOG.
印度尼西亚拥有丰富的自然资源,特别是种植园的成果。很多当地的水果,从根部到果皮都可以使用。当地的水果既可以作为新鲜水果食用,也可以加工成饮料和食品。这反映在印度尼西亚热带水果的多样性上。益处丰富,可以用作药物的水果,如苹果、牛油果、杏子和香蕉。这些水果在我们身边随处可见。这些水果在印度尼西亚生产,也出口到国外。然而,用于对这种水果进行分类的有限方法和技术是值得讨论的有趣事情,并成为本研究的主要焦点。本研究利用朴素贝叶斯算法和HOG (Oriented Gradient Histogram)特征提取进行分析,获得更有效的分类结果。结果表明,使用朴素贝叶斯方法和HOG特征提取的水果采集尚未获得最大的分类结果,准确率仅为56.52%。关键词:苹果,鳄梨,杏,香蕉,朴素贝叶斯,HOG。
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引用次数: 11
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Journal of Information Technology Education-Innovations in Practice
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