International Journal of Artificial Intelligence & Robotics (IJAIR)最新文献

Emotion Detection in Twitter Social Media Using Long Short-Term Memory (LSTM) and Fast Text 基于长短期记忆和快速文本的Twitter社交媒体情感检测

International Journal of Artificial Intelligence & Robotics (IJAIR) Pub Date : 2021-05-31 DOI: 10.25139/IJAIR.V3I1.3827

M. Riza, N. Charibaldi

{"title":"Emotion Detection in Twitter Social Media Using Long Short-Term Memory (LSTM) and Fast Text","authors":"M. Riza, N. Charibaldi","doi":"10.25139/IJAIR.V3I1.3827","DOIUrl":"https://doi.org/10.25139/IJAIR.V3I1.3827","url":null,"abstract":"Emotion detection is important in various fields such as education, business, employee recruitment. In this study, emotions will be detected with text that comes from Twitter because social media makes users tend to express emotions through text posts. One of the social media that has the highest user growth rate in Indonesia is Twitter. This study will use the LSTM method because this method is proven to be better than previous studies. Word embedding fast text will also be used in this study to improve Word2Vec and GloVe that cannot handle the problem of out of vocabulary (OOV). This research produces the best accuracy for each word embedding as follows, Word2Vec produces an accuracy of 73,15%, GloVe produces an accuracy of 60,10%, fast text produces an accuracy of 73,15%. The conclusion in this study is the best accuracy was obtained by Word2Vec and fast text. The fast text has the advantage of handling the problem of out of vocabulary (OOV), but in this study, it cannot improve the accuracy of word 2vec. This study has not been able to produce very good accuracy. This is because of the data used. In future works, to get even better results, it is expected to apply other deep learning methods, such as CNN, BiLSTM, etc. It is hoped that more data will be used in future studies.","PeriodicalId":365842,"journal":{"name":"International Journal of Artificial Intelligence & Robotics (IJAIR)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132566307","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: 9

Traffic Light Automation with Camera Tracker and Microphone to Recognize Ambulance Using the HAAR Cascade Classifier Method 基于HAAR级联分类器的交通信号灯自动识别救护车

International Journal of Artificial Intelligence & Robotics (IJAIR) Pub Date : 2020-12-01 DOI: 10.25139/ijair.v2i2.3194

Eldha Nur Ramadhana Putra, Edi Prihartono, Budi Santoso

引用次数: 0

Message Security Using Rivest-Shamir-Adleman Cryptography and Least Significant Bit Steganography with Video Platform 利用 Rivest-Shamir-Adleman 密码学和视频平台的最小显著位隐写术实现信息安全

International Journal of Artificial Intelligence & Robotics (IJAIR) Pub Date : 2020-12-01 DOI: 10.25139/ijair.v2i2.3150

Widad Muhammad, D. H. Sulaksono, S. Agustini

{"title":"Message Security Using Rivest-Shamir-Adleman Cryptography and Least Significant Bit Steganography with Video Platform","authors":"Widad Muhammad, D. H. Sulaksono, S. Agustini","doi":"10.25139/ijair.v2i2.3150","DOIUrl":"https://doi.org/10.25139/ijair.v2i2.3150","url":null,"abstract":"All over the world, information technology has developed into a critical communication medium. One of them is digital messaging. We can connect and share information in real-time using digital messages. Without us knowing it, advances in message delivery are not only followed by kindness. Message security threats are also growing. Many unauthorized parties try to intercept critical information sent for the benefit of certain parties. As a countermeasure, various message security techniques exist to protect the messages we send. One of them is cryptography and steganography. Cryptography is useful for converting our messages into coded text so that unauthorized parties cannot read them. Meanwhile, steganography is useful for hiding our encrypted messages into several media, such as videos. This research will convert messages into ciphertext using the Rivest-Shamir-Adleman method and then insert them into video media using the Least Significant Bit method. There are four types of messages tested with different sizes. All messages will be encrypted and embedding using the Python programming language. Then the video will be tested using the MSE, PSNR, and Histogram methods. So we get a value that shows which message gets the best results. So that the message sent is more guaranteed authenticity and reduces the possibility of message leakage.","PeriodicalId":365842,"journal":{"name":"International Journal of Artificial Intelligence & Robotics (IJAIR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130060140","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: 0

An Automatic Sliding Doors Using RFID and Arduino 基于RFID和Arduino的自动滑动门

International Journal of Artificial Intelligence & Robotics (IJAIR) Pub Date : 2020-07-01 DOI: 10.25139/ijair.v2i1.2706

Yudi Kristyawan, Achmad Dicky Rizhaldi

{"title":"An Automatic Sliding Doors Using RFID and Arduino","authors":"Yudi Kristyawan, Achmad Dicky Rizhaldi","doi":"10.25139/ijair.v2i1.2706","DOIUrl":"https://doi.org/10.25139/ijair.v2i1.2706","url":null,"abstract":" The door is an important component in a building as security. It is used as access in and out of a room. People in the modern era now want everyday life that is completely automated, so that the work can be done easily without wasting energy and can shorten the time. Along with the rapid development, the need for effectiveness and efficiency is prioritized in various fields. The purpose of this paper is to design an automatic sliding door that only detects one Radio Frequency Identification (RFID) card to open and close. The use of RFID systems can strengthen the security level of building access. This study uses a data processing method in the form of an ID number generated from a tag. Specifications in the discussion of the results in this study include a motor that uses a 12-volt DC motor, a maximum door weight of 5 kg, can only detect one RFID to open and close the door, and the sliding door used is one door. The results of system testing are obtained to open a door that is without load, and the door can move 14 cm from the distance of the door hole so that it opens. Doors with a load of 1-1.5 kg also move 14 cm from the distance of the door opening when open. Doors with a load of 2-3 kg only move 12.5-9.5 cm from the distance of the door so that it opens. When the door gets heavier 3.5-4 kg, the door moves only 7.5-3 cm from the distance the door hole remains closed.","PeriodicalId":365842,"journal":{"name":"International Journal of Artificial Intelligence & Robotics (IJAIR)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116825253","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: 5

An Implementation of MMS Steganography With The LSB Method 用LSB方法实现彩信隐写

International Journal of Artificial Intelligence & Robotics (IJAIR) Pub Date : 2020-06-03 DOI: 10.25139/ijair.v2i1.2653

Dian Ahkam Sani, Mohammad Zoqi Sarwani, Muhamad Agus Setiawan

引用次数: 0

Genetic Algorithm for Optimizing Traveling Salesman Problems with Time Windows (TSP-TW) 带时间窗旅行商问题的遗传算法优化

International Journal of Artificial Intelligence & Robotics (IJAIR) Pub Date : 2019-10-31 DOI: 10.25139/ijair.v1i1.2024

Juwairiah Juwairiah, Dicky Pratama, H. Rustamaji, Herry Sofyan, Dessyanto Boedi Prasetyo

{"title":"Genetic Algorithm for Optimizing Traveling Salesman Problems with Time Windows (TSP-TW)","authors":"Juwairiah Juwairiah, Dicky Pratama, H. Rustamaji, Herry Sofyan, Dessyanto Boedi Prasetyo","doi":"10.25139/ijair.v1i1.2024","DOIUrl":"https://doi.org/10.25139/ijair.v1i1.2024","url":null,"abstract":"The concept of Traveling Salesman Problem (TSP) used in the discussion of this paper is the Traveling Salesman Problem with Time Windows (TSP-TW), where the time variable considered is the time of availability of attractions for tourists to visit. The algorithm used for optimizing the solution of Traveling Salesman Problem with Time Windows (TSP-TW) is a genetic algorithm. The search for a solution for determining the best route begins with the formation of an initial population that contains a collection of individuals. Each individual has a combination of different tourist sequence. Then it is processed by genetic operators, namely crossover with Partially Mapped Crossover (PMX) method, mutation using reciprocal exchange method, and selection using ranked-based fitness method. The research method used is GRAPPLE. Based on tests conducted, the optimal generation size results obtained in solving the TSP-TW problem on the tourist route in the Province of DIY using genetic algorithms is 700, population size is 40, and the combination of crossover rate and mutation rate is 0.70 and 0.30 There is a tolerance time of 5 seconds between the process of requesting distance and travel time and the process of forming a tourist route for the genetic algorithm process.","PeriodicalId":365842,"journal":{"name":"International Journal of Artificial Intelligence & Robotics (IJAIR)","volume":"224 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121100605","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: 5

Indonesian Sign Language API (OpenSIBI API) as The Gateway Services for Myo Armband 印尼手语API (OpenSIBI API)作为Myo Armband的网关服务

International Journal of Artificial Intelligence & Robotics (IJAIR) Pub Date : 2019-10-31 DOI: 10.25139/ijair.v1i1.2026

M. Zikky, R. Hakkun, Buchori Rafsanjani

{"title":"Indonesian Sign Language API (OpenSIBI API) as The Gateway Services for Myo Armband","authors":"M. Zikky, R. Hakkun, Buchori Rafsanjani","doi":"10.25139/ijair.v1i1.2026","DOIUrl":"https://doi.org/10.25139/ijair.v1i1.2026","url":null,"abstract":"We create an API (Application Programming Interface) for Indonesian Sign Language (Sistem Isyarat Bahasa Indonesia/SIBI) which is called OpenSIBI. In this case study, we use the Myo Armband device to capture hand gesture data movement. It uses five sensors: Accelerometer, Gyroscope, Orientation, Orientation-Euler, and EMG. First, we record, convert and save those data into JSON dataset in the server as data learning. Then, every data request (trial data) from the client will compare them using k-NN Normalization process. OpenSIBI API works as the middleware which integrated to RabbitMQ as the queue request arranger. Every service request from the client will automatically spread to the server with the queue process. As the media observation, we create a client data request by SIBI Words and Alphabeth Game, which allows the user to answer several stages of puzzle-game with Indonesian Sign Language hand gesture. Game-player must use the Myo armband as an interactive device that reads the hand movement and its fingers for answering the questions given. Thus, the data will be classified and normalized by the k-NN algorithm, which will be processed on the server. In this process, data will pass OpenAPI SIBI (which connected to RabbitMQ) to queue every incoming data-request. So, the obtained data will be processed one by one and sent it back to the client as the answer.","PeriodicalId":365842,"journal":{"name":"International Journal of Artificial Intelligence & Robotics (IJAIR)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133607587","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: 0

Modified Vegenere Cipher to Enhance Data Security Using Monoalphabetic Cipher 使用单字母密码改进Vegenere密码以提高数据安全性

International Journal of Artificial Intelligence & Robotics (IJAIR) Pub Date : 2019-10-31 DOI: 10.25139/ijair.v1i1.2029

S. Agustini, W. M. Rahmawati, M. Kurniawan

{"title":"Modified Vegenere Cipher to Enhance Data Security Using Monoalphabetic Cipher","authors":"S. Agustini, W. M. Rahmawati, M. Kurniawan","doi":"10.25139/ijair.v1i1.2029","DOIUrl":"https://doi.org/10.25139/ijair.v1i1.2029","url":null,"abstract":"The rapid progression of exchange data by public networks is important, especially in information security. We need to keep our information safe from attackers or intruders. Furthermore, information security becomes needed for us. Many kind cipher methods of cryptography are improved to secure information such as monoalphabetic cipher and polyalphabetic cipher. Cryptography makes readable messages becoming non-readable messages. One of the popular algorithms of a polyalphabetic cipher is Vigenere cipher. Vigenere cipher has been used for a long time, but this algorithm has weaknesses. The calculation of the encryption process is only involving additive cipher, it makes this algorithm vulnerability to attacker based on frequency analysis of the letter. The proposed method of this research is making Vigenere cipher more complex by combining monoalphabetic cipher and Vigenere cipher. One of the monoalphabetic ciphers is Affine cipher. Affine cipher has two steps in the encryption process that are an additive cipher and a multiplicative cipher. Our proposed method has been simulated with Matlab. We also tested the vulnerability of the result of encryption by Vigenere Analyzer and Analysis Monoalphabetic Substitution. It shows that our method overcomes the weakness of Vigenere Cipher. Vigenere cipher and Affine cipher are classical cryptography that has a simple algorithm of cryptography. By combining Vigenere cipher and Affine cipher will make a new method that more complex algorithm.","PeriodicalId":365842,"journal":{"name":"International Journal of Artificial Intelligence & Robotics (IJAIR)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130093363","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

Speech to Text Processing for Interactive Agent of Virtual Tour Navigation 虚拟导航交互式Agent的语音到文本处理

International Journal of Artificial Intelligence & Robotics (IJAIR) Pub Date : 2019-10-31 DOI: 10.25139/ijair.v1i1.2030

Dian Ahkam Sani, Muchammad Saifulloh

{"title":"Speech to Text Processing for Interactive Agent of Virtual Tour Navigation","authors":"Dian Ahkam Sani, Muchammad Saifulloh","doi":"10.25139/ijair.v1i1.2030","DOIUrl":"https://doi.org/10.25139/ijair.v1i1.2030","url":null,"abstract":"The development of science and technology is one way to replace the method of human interaction with computers, one of which is to provide voice input. Conversion of sound into text form with the Backpropagation method can be understood and realized through feature extraction, including the use of Linear Predictive Coding (LPC). Linear Predictive Coding is one way to represent the signal in obtaining the features of each sound pattern. In brief, the way this speech recognition system worked was by inputting human voice through a microphone (analog signal) which then sampled with a sampling speed of 8000 Hz so that it became a digital signal with the assistance of sound card on the computer. The digital signal from the sample then entered the initial process using LPC, so that several LPC coefficients were obtained. The LPC outputs were then trained using the Backpropagation learning method. The results of the learning were classified with a word and stored in a database afterwards. The results of the test were in the form of an introduction program that able display the voice plots. the results of speech recognition with voice recognition percentage of respondents in the database iss 80% of the 100 data in the test in Real Time","PeriodicalId":365842,"journal":{"name":"International Journal of Artificial Intelligence & Robotics (IJAIR)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116302592","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

Personality Classification through Social Media Using Probabilistic Neural Network Algorithms 基于概率神经网络算法的社交媒体人格分类

International Journal of Artificial Intelligence & Robotics (IJAIR) Pub Date : 2019-10-31 DOI: 10.25139/ijair.v1i1.2025

Mohammad Zoqi Sarwani, Dian Ahkam Sani, Fitria Chabsah Fakhrini

{"title":"Personality Classification through Social Media Using Probabilistic Neural Network Algorithms","authors":"Mohammad Zoqi Sarwani, Dian Ahkam Sani, Fitria Chabsah Fakhrini","doi":"10.25139/ijair.v1i1.2025","DOIUrl":"https://doi.org/10.25139/ijair.v1i1.2025","url":null,"abstract":"Today the internet creates a new generation with modern culture that uses digital media. Social media is one of the popular digital media. Facebook is one of the social media that is quite liked by young people. They are accustomed to conveying their thoughts and expression through social media. Text mining analysis can be used to classify one's personality through social media with the probabilistic neural network algorithm. The text can be taken from the status that is on Facebook. In this study, there are three stages, namely text processing, weighting, and probabilistic neural networks for determining classification. Text processing consists of several processes, namely: tokenization, stopword, and steaming. The results of the text processing in the form of text are given a weight value to each word by using the Term Inverse Document Frequent (TF / IDF) method. In the final stage, the Probabilistic Neural Network Algorithm is used to classify personalities. This study uses 25 respondents, with 10 data as training data, and 15 data as testing data. The results of this study reached an accuracy of 60%.","PeriodicalId":365842,"journal":{"name":"International Journal of Artificial Intelligence & Robotics (IJAIR)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132551089","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: 6