Jurnal Online Informatika
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276 research outputs found
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Application of VGG Architecture to Detect Korean Syllables Based on Image Text
Get PDFKorean culture began to spread widely throughout the world, ranging from lifestyle, music, food, and drinks, and there are still many exciting things from this Korean culture. One of the interesting things to learn is to know Korean letters (Hangul), which are non-Latin characters. If the Hangul letters have been learned, the next thing that lay people must learn is the Korean syllables, which are different from the Indonesian syllables. Because of the difficulty of learning Korean syllables, understanding a sentence needed a system to recognize Korean syllables. Therefore, in this study designing a system to acknowledge Korean syllables, the method used is Convolutional Neural Network with VGG architecture. The system performs the process of detecting Korean syllables based on models that have been trained using 72 syllable classes. The tests on 72 Korean syllable classes obtain an average accuracy of 96%, an average precision value of 96%, an average recall value of 100%, and an average F1 score of 98%
Chatbot for Signaling Quranic Verses Science Using Support Vector Machine Algorithm
Get PDFThe many verses in the Qur\u27an encourage finding the right way how to understand it thematically. The purpose of the research is to develop a chatbot application that can be used to explore and elaborate the content of verses in the Qur’an that hint at science. The support vector machine (SVM) algorithm classifies question and answers datasets in chatbot applications. The number of data sets used is 76, with test data as much as 10%. The test results show that the SVM algorithm is quite good in classifying, with an accuracy value of 87.5%. While the user test results obtained an average MOS of 8.4, which means the chatbot application developed is very effective in understanding the Qur\u27an, which implies science. This research is expected to provide an overview of the explanation of the Qur\u27an about science and technology
Discovering Computer Science Research Topic Trends using Latent Dirichlet Allocation
Get PDFBefore conducting a research project, researchers must find the trends and state of the art in their research field. However, that is not necessarily an easy job for researchers, partly due to the lack of specific tools to filter the required information by time range. This study aims to provide a solution to that problem by performing a topic modeling approach to the scraped data from Google Scholar between 2010 and 2019. We utilized Latent Dirichlet Allocation (LDA) combined with Term Frequency-Indexed Document Frequency (TF-IDF) to build topic models and employed the coherence score method to determine how many different topics there are for each year’s data. We also provided a visualization of the topic interpretation and word distribution for each topic as well as its relevance using word cloud and PyLDAvis. In the future, we expect to add more features to show the relevance and interconnections between each topic to make it even easier for researchers to use this tool in their research projects
Computer Networks Optimization using Load Balancing Algorithms on the Citrix ADC Virtual Server
Get PDFIn the digital era and the outbreak of the COVID-19 pandemic, all activities are online. If the number of users accessing the server exceeds IT infrastructure, server down occurs. A load balancer device is required to share the traffic request load. This study compares four algorithms on Citrix ADC VPX load balancer: round-robin, least connection, least response time and least packet using GNS3. The results of testing response time and throughput parameters show that the least connection algorithm is superior. There were a 33% reduction in response time and a 53% increase in throughput. In the service hits parameter, the round-robin algorithm has the evenest traffic distribution. While least packet superior in CPU utilization with 76% reduction. So algorithm with the best response time and throughput is the least connection. The algorithm with the best service hits is round-robin. Large scale implementation is recommended using the least connection algorithm regarding response time and throughput. When emphasizing evenest distribution, use a round-robin algorithm
Organization Cybernetics for Railway Supplier Selection
Get PDFThe comprehensive stimulation for this research arises from the necessity to continually understand and investigate the Information System (IS) discipline body of knowledge from organizational practice. Specifically, in this study, we focus on comparing a few available excellence frameworks, data analytics, and cybernetics approaches. Such knowledge and skill practice in the IS field is predominant for both IS research and teaching. On the other hand, to propose a relevant performance reporting model using data analytics and cybernetics that entail a body of knowledge and skill is crucial for the development and transformation of organizational excellence. Yet, it helps to design an online real-time organizational dashboard that produces knowledge for its application and decision-making within an organizational practice. IS discipline in an organization is comparatively young and its specification in academia as well as in practice is rapidly changing, we focus on the practical design, and IS structure for organizational excellence through employing information technologies
Spanning Tree Protocol (STP) Based Computer Network Performance Analysis on BPDU Config Attacks and Take Over Root Bridge Using the Linear Regression Method
Get PDFSpanning Tree Protocol (STP) is used in manageable switch devices that apply more than one path to the connection between switches. This study aims to assist engineer staff in improving STP network security. Furthermore, the benefit is to improve the STP network security system by using the Spanning Tree Protocol and Virtual Local Area Network (VLAN) trunking mitigation techniques. The results of testing data before STP is attacked, after STP attacked, and anticipatory data. Then a simple linear regression analysis is carried out by the result of that there is not a significant relationship between time and size in the DoS attack, which  48.6% of the time variable is influenced by the size of  variable, while  the remaining 51.4% by other variables. Root attack is 43.8%-time variable is influenced by size variable, the remaining 56.2% by other variables. Correlation between Karl Pearson DoS and root, there is a significant relationship between time and size, with the DoS correlation coefficient (-0.697) in contrast root (-0.662), and paired sample t-test (paired sample t-test) can be concluded the anticipation which is done by using BPDU guard and root guard mitigation
Comparison of C4.5 Algorithm and Support Vector Machine in Predicting the Student Graduation Timeliness
Get PDFIn higher educational institutions, graduation rates are one of the many aspects to assess the quality of the learning process. Al-Hidayah Islamic University in Bogor is one of the established private Islamic universities to create skilled human resources with moral values required by many companies nowadays. Having another institution in Bogor as a competitor with the same direction and objective is a challenge for Al-Hidayah Islamic University. Thus a solution is required to face the competition. One solution is to predict the student graduation timeliness of the students using data mining method with classification function. The implemented methodology in the data mining is Discovery Knowledge of Database (KDD), starting from selecting, preprocessing, transformation, data mining, and evaluation/ interpretation. There were two Algorithm models used in this paper, namely C4.5 and Support Vector Machine (SVM). The classification procedure consists of predictor variables and one of the target variables. Predictor variables are gender, Grade Point Average, marital status, and job status. Rapid Miner software was used to process the data. The final results of both Algorithms show an 81% precision rate and 80% accuracy level for the C4.5 Algorithm, while SVM has an 88% precision rate and 85% accuracy level
The Hybrid of Jaro-Winkler and Rabin-Karp Algorithm in Detecting Indonesian Text Similarity
Get PDFThe String-matching technique is part of the similarity technique. This technique can detect the similarity level of the text. The Rabin-Karp is an algorithm of string-matching type. The Rabin-Karp is capable of multiple patterns searching but does not match a single pattern. The Jaro-Winkler Distance algorithm can find strings within approximate string matching. This algorithm is very suitable and gives the best results on the matching of two short strings. This study aims to overcome the shortcomings of the Rabin-Karp algorithm in the single pattern search process by combining the Jaro-Winkler and Rabin-Karp algorithm methods. The merging process started from pre-processing and forming the K-Gram data. Then, it was followed by the calculation of the hash value for each K-Gram by the Rabin-Karp algorithm. The process of finding the same hash score and calculating the percentage level of data similarity used the Jaro-Winkler algorithm. The test was done by comparing words, sentences, and journal abstracts that have been rearranged. The average percentage of the test results for the similarity level of words in the combination algorithm has increased. In contrast, the results of the percentage test for the level of similarity of sentences and journal abstracts have decreased. The experimental results showed that the combination of the Jaro-Winkler algorithm on the Rabin-Karp algorithm can improve the similarity of text accuracy
The Comparison of Audio Analysis Using Audio Forensic Technique and Mel Frequency Cepstral Coefficient Method (MFCC) as the Requirement of Digital Evidence
Get PDFAudio forensics is the application of science and scientific methods in handling digital evidence in the form of audio. In this regard, the audio supports the disclosure of various criminal cases and reveals the necessary information needed in the trial process. So far, research related to audio forensics is more on human voices that are recorded directly, either by using a voice recorder or voice recordings on smartphones, which are available on Google Play services or iOS Store. This study compares the analysis of live voices (human voices) with artificial voices on Google Voice and other artificial voices. This study implements the audio forensic analysis, which involves pitch, formant, and spectrogram as the parameters. Besides, it also analyses the data by using feature extraction using the Mel Frequency Cepstral Coefficient (MFCC) method, the Dynamic Time Warping (DTW) method, and applying the K-Nearest Neighbor (KNN) algorithm. The previously made live voice recording and artificial voice are then cut into words. Then, it tests the chunk from the voice recording. The testing of audio forensic techniques with the Praat application obtained similar words between live and artificial voices and provided 40,74% accuracy of information. While the testing by using the MFCC, DTW, KNN methods with the built systems by using Matlab, obtained similar word information between live voice and artificial voice with an accuracy of 33.33%.Audio forensics is the application of science and scientific methods in handling evidence in the form of audio to support the disclosure of various criminal cases and to reveal information needed in the trial process. In this regard, a sound recording that has been made is then cut into words. Then, pieces of it were analyzed by using audio forensic techniques through parameters of pitch, formant and spectogram using Forensic Audio Technique Analysis on artificial voice recordings and live voice recordings. The analysis was also carried out using the extraction of the Mel Frequency Cepstral Coefficient (MFCC) feature, the Dynamic Time Warping (DTW) Method, and applying the K-Nearest Neighbor (KNN) algorithm. The testing results by using audio forensic techniques obtained an accuracy of 76.3%, meanwhile the accuracy of testing results by using a system that has been built (self-made system) is 66.7%
Application of Augmented Reality to Replicate Couples Sit in Wedding Ceremony
Get PDFIn Indonesia, the bride and groom do pre-wedding photos like a tradition before marriage with couple sit in wedding ceremony. The splendor of the wedding ceremony made many vendors interested in running a wedding party business. These vendors provide services and goods related to wedding parties, such as wedding organizers, bridal, party decorations (couples sit in of wedding ceremony), as well as photo and video documentation. To give more virtual wedding nuance experience to customer, augmented reality was applied. This research develop application of augmented applying to replicate couples sit in of wedding ceremony. Augmented reality (AR) technology adopted to promote couples sit in of wedding ceremony. Moreover, combines wedding ceremony nuance and augmented reality make consumers who want to find 3D wedding background desired