Journal of Information Technology Education-Innovations in Practice最新文献_第5页

Path Smoothing With Support Vector Regression 路径平滑与支持向量回归

IF 1.2

Journal of Information Technology Education-Innovations in Practice Pub Date : 2020-07-20 DOI: 10.31289/jite.v4i1.3856

Donni Richasdy, Saiful Akbar

引用次数: 1

Application of Apriori Algorithm Method in Sales Analysis of Mountain Bag Brands in Post Stores 1 Apriori算法在邮政商店山包品牌销售分析中的应用

IF 1.2

Journal of Information Technology Education-Innovations in Practice Pub Date : 2020-07-20 DOI: 10.31289/jite.v4i1.2980

A. Salim, Mochammad Nizar

{"title":"Application of Apriori Algorithm Method in Sales Analysis of Mountain Bag Brands in Post Stores 1","authors":"A. Salim, Mochammad Nizar","doi":"10.31289/jite.v4i1.2980","DOIUrl":"https://doi.org/10.31289/jite.v4i1.2980","url":null,"abstract":"Nowadays, climbing mountains has become a lifestyle for young people. Outdoor industries that produce clothing, bags and sports shoes participate in developing and following the desires of the market. Each company in producing its products has a special brand. Shop Pos 1 is one of the shops that sell various climbing equipment commonly used by climbers to climb mountains. In addition, Pos 1 stores also find it difficult to get updated information about the level of sales per period. Therefore, we need a decision support systems and methods that can be used to determine business strategies that can provide efficient and effective information, namely data mining using a priori technology association methods. The author chooses mountain bag products only as research material by selecting brands, completing Avtech, Consina, Co-tracks, Cozmed, Eiger, Forester, Rei, Loss. In analyzing the data, the writer uses a priori algorithm calculation by testing the hypothesis of two variables between the value of support and the value of trust. After that, a priori algorithm is calculated using Tanagra. Based on analysis conducted by the author, the operator most preferred by climbers is Avtech, Consina, Cozmed. From these results, it can be used by Pos 1 to prepare brand inventory of mountain bag products that are widely bought by buyers and increase brand inventory. Keywords: Bag Brand, Data Mining, apriori algorithm.","PeriodicalId":43632,"journal":{"name":"Journal of Information Technology Education-Innovations in Practice","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2020-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90679324","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}

引用次数: 2

Internet-Based Flood Detection System (Iot) and Telegram Messenger Using Mcu Node and Water Level Sensor 基于单片机节点和水位传感器的互联网洪水检测系统(Iot)和Telegram Messenger

IF 1.2

Journal of Information Technology Education-Innovations in Practice Pub Date : 2020-07-20 DOI: 10.31289/jite.v4i1.3892

N. Nanda, Rizalul Akram, Liza Fitria

{"title":"Internet-Based Flood Detection System (Iot) and Telegram Messenger Using Mcu Node and Water Level Sensor","authors":"N. Nanda, Rizalul Akram, Liza Fitria","doi":"10.31289/jite.v4i1.3892","DOIUrl":"https://doi.org/10.31289/jite.v4i1.3892","url":null,"abstract":"During the rainy season, several regions in Indonesia experienced floods even to the capital of Indonesia also flooded. Some of the causes are the high intensity of continuous rain, clogged or non-smooth drainage, high tides to accommodate the flow of water from rivers, other causes such as forest destruction, shallow and full of garbage and other causes. Every flood disaster comes, often harming the residents who experience it. The late anticipation from the community and the absence of an early warning system or information that indicates that there will be a flood so that the community is not prepared to face floods that cause a lot of losses. Therefore it is necessary to have a detection system to provide early warning if floods will occur, this is very important to prevent material losses from flooded residents. From this problem the researchers designed an internet-based flood detection System of Things (IoT). This tool can later be controlled via a smartphone remotely and can send messages Telegram messenger to citizens if the detector detects a flood will occur. Keywords: Flooding, Smartphone, Telegram messenger, Internet of Thing (IoT).","PeriodicalId":43632,"journal":{"name":"Journal of Information Technology Education-Innovations in Practice","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2020-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85900967","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}

引用次数: 3

Face Identification on Login Security Using Algorithm Combination of Viola-Jones and Cosine Similarity 基于维奥拉-琼斯和余弦相似度组合算法的登录安全人脸识别

IF 1.2

Journal of Information Technology Education-Innovations in Practice Pub Date : 2020-07-20 DOI: 10.31289/jite.v4i1.3885

F. Azmi, A. Saleh, N. Dharshinni

{"title":"Face Identification on Login Security Using Algorithm Combination of Viola-Jones and Cosine Similarity","authors":"F. Azmi, A. Saleh, N. Dharshinni","doi":"10.31289/jite.v4i1.3885","DOIUrl":"https://doi.org/10.31289/jite.v4i1.3885","url":null,"abstract":"Data security by using an alphanumeric combination password is no longer used, so it needs to be added security that is difficult to be manipulated by certain people. One type of security is the type of biometrics technology using face recognition which has different characteristics by combining the Viola-Jones algorithm to detect facial features, GLCM (Gray Level Co-occurrence Matrix) for extracting the texture characteristics of an image, and Cosine Similarity for the measurement of the proximity of the data (image matching). The image will be detected using the Viola-Jones algorithm to get face, eyes, nose, and mouth. The image detection results will be calculated the value of the texture characteristics with the GLCM (Gray Level Cooccurrence Matrix) algorithm. Image matching using cosine similarity will determine or match the data stored in the database with new image input until identification results are obtained. The results obtained in this study get the level of accuracy of the identification of the three algorithms by 77.20% with the amount of data that was correctly identified as many as 386 out of 500 images. Keywords: Security, face recognition, Viola-Jones, Cosine Similarity.","PeriodicalId":43632,"journal":{"name":"Journal of Information Technology Education-Innovations in Practice","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2020-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90329097","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}

引用次数: 1

Detection of Attacks on Apache2 Web Server Using Genetic Algorithm Based On Jaro Winkler Algorithm 基于Jaro Winkler算法的遗传算法检测Apache2 Web服务器攻击

IF 1.2

Journal of Information Technology Education-Innovations in Practice Pub Date : 2020-07-20 DOI: 10.31289/jite.v4i1.3873

M. Maulana

引用次数: 0

Analysis of Face Recognition Algorithm: Dlib and OpenCV 人脸识别算法分析:Dlib和OpenCV

IF 1.2

Journal of Information Technology Education-Innovations in Practice Pub Date : 2020-07-20 DOI: 10.31289/jite.v4i1.3865

S. Suwarno, Kevin Kevin

{"title":"Analysis of Face Recognition Algorithm: Dlib and OpenCV","authors":"S. Suwarno, Kevin Kevin","doi":"10.31289/jite.v4i1.3865","DOIUrl":"https://doi.org/10.31289/jite.v4i1.3865","url":null,"abstract":"In face recognition there are two commonly used open-source libraries namely Dlib and OpenCV. Analysis of facial recognition algorithms is needed as reference for software developers who want to implement facial recognition features into an application program. From Dlib algorithm to be analyzed is CNN and HoG, from OpenCV algorithm is DNN and HAAR Cascades. These four algorithms are analyzed in terms of speed and accuracy. The same image dataset will be used to test, along with some actual images to get a more general analysis of how algorithm will appear in real life scenarios. The programming language used for face recognition algorithms is Python. The image dataset will come from LFW (Labeled Faces in the Wild), and AT&T, both of which are available and ready to be downloaded from the internet. Pictures of people around the UIB (Batam International University) is used for actual images dataset. HoG algorithm is fastest in speed test (0.011 seconds / image), but the accuracy rate is lower (FRR = 27.27%, FAR = 0%). DNN algorithm is the highest in level of accuracy (FRR = 11.69%, FAR = 2.6%) but the lowest speed (0.119 seconds / picture). There is no best algorithm, each algorithm has advantages and disadvantages. Keywords: Python, Face Recognition, Analysis, Speed, Accuracy.","PeriodicalId":43632,"journal":{"name":"Journal of Information Technology Education-Innovations in Practice","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2020-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83003782","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}

引用次数: 13

The Application of Mamdani Method for Predicting The Best Portable Computer Based on Hardware and Price Mamdani方法在基于硬件和价格的最佳便携式计算机预测中的应用

IF 1.2

Journal of Information Technology Education-Innovations in Practice Pub Date : 2020-07-20 DOI: 10.31289/jite.v4i1.3770

Gelar Lailatul Qodar

{"title":"The Application of Mamdani Method for Predicting The Best Portable Computer Based on Hardware and Price","authors":"Gelar Lailatul Qodar","doi":"10.31289/jite.v4i1.3770","DOIUrl":"https://doi.org/10.31289/jite.v4i1.3770","url":null,"abstract":"A portable computer is a technology tool widely used among students and students. With a very helpful role as in typing needs, presentations, and math calculations. A variety of carry-on computers that many certainly make one difficult to determine a decent and good portable computer to use. In general, in the process of selecting a portable computer, there is no recognized standard to determine the recommended portable computer level. The purpose in this research is to produce predictive values that will be a reference in supporting decisions in determining a portable computer that complies with hardware component criteria and pricing. This study implemented FIS Mamdani models with the analysis stage of the formation of fuzzy sets, application of implications function, rule composition and defuzification. The result of this research is an output of predictive value based on hardware component inputs and prices that will assist the user in supporting decisions in determining the best carry-on computer and according to what they want. Keywords: Predictions, Fuzzy Inference System, Mamdani methods, portable computers, students.","PeriodicalId":43632,"journal":{"name":"Journal of Information Technology Education-Innovations in Practice","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2020-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88943004","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}

引用次数: 1

Algorithm Implementation Of Interest Buy Apriori Data On Consumer Retail Sales In Industry 工业零售消费者兴趣购买先验数据的算法实现

IF 1.2

Journal of Information Technology Education-Innovations in Practice Pub Date : 2020-07-20 DOI: 10.31289/jite.v4i1.3775

Ahmad Fachrurozi, Mufid Junaedi, Jordy Lasmana Putra, W. Gata

{"title":"Algorithm Implementation Of Interest Buy Apriori Data On Consumer Retail Sales In Industry","authors":"Ahmad Fachrurozi, Mufid Junaedi, Jordy Lasmana Putra, W. Gata","doi":"10.31289/jite.v4i1.3775","DOIUrl":"https://doi.org/10.31289/jite.v4i1.3775","url":null,"abstract":"This data processing has the aim to increase the company's turnover, because by being aware of how the interest in buying goods works, the company can buy products other than the main products that it buys. In increasing company revenue can be done using the Data Mining process, one of which uses a priori algorithm and association techniques. With this a priori algorithm found association technique which later can be used as a pattern of purchasing goods by consumers, this study uses a data repository of 958 data consisting of 45 transactions. From the results obtained goods with the name Paper Chain Kit 50's Christmas is a product that is often bought by consumers and it is known that the most frequent combination patterns are the Retro Spot Paper Chain Kit and the Paper Chain Kit 50's Christmas. So that with known buying patterns, the company manager can predict future market needs, and can calculate the stock of goods that must be reproduced, and goods whose stock must be reduced, and also with the results of the association the manager can manage the layout of the product to be better. Keywords: Apriori Algorithm, Sales Data, Retail.","PeriodicalId":43632,"journal":{"name":"Journal of Information Technology Education-Innovations in Practice","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2020-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85966711","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}

引用次数: 3

The e-Business Community Model is Used to Improve Communication Between Businesses by Utilizing Union Principles 电子商务社区模式是利用联合原则来改善企业间的沟通

IF 1.2

Journal of Information Technology Education-Innovations in Practice Pub Date : 2020-01-20 DOI: 10.31289/jite.v3i2.3260

Fauzi Fauzi, A. Al-Khowarizmi, Muhathir Muhathir

引用次数: 11

Model Classification Of Nominal Value And The Original Of IDR Money By Applying Evolutionary Neural Network 基于进化神经网络的IDR货币名义价值模型分类及初始化

IF 1.2

Journal of Information Technology Education-Innovations in Practice Pub Date : 2020-01-20 DOI: 10.31289/jite.v3i2.3284

A. Al-Khowarizmi

引用次数: 2