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Hybrid Encryption Based on Fernet and Rivest Shamir Adleman (RSA)

Hybrid Encryption Based on Fernet and Rivest Shamir Adleman ...

引用

2023 International Seminar on Application for Technology of Information and Communication, iSemantic 2023

作者： Hisbullah, Muhammad Dafi Sari, Christy Atika Rachmawanto, Eko Hari Handoko, Lekso Budi Umam, Chaerul Isinkaye, Folasade University of Dian Nuswantoro Study Program in Informatics Engineering Semarang Indonesia Ekiti State University Department of Computer Science Ekiti Nigeria

ISBN: (纸本)9798350339215

RSA is an asymmetric encryption algorithm that uses two different keys, a public key to encrypt the plain text and a private key to decrypt the cipher text. Fernet is a symmetric encryption algorithm that uses a single key to encrypt and decrypt information. This study uses Fernet and RSA which is the combination of symmetric and asymmetric encryption called hybrid encryption. In addition, the cipher text will be hidden inside an image using Stepic. Hybrid Encryption uses asymmetric encryption to encrypt the symmetric encryption secret key, it will secure the symmetric encryption. The result of this study is the lowest error that we got as the MSE is 0.00% and is inversely proportional with the Peak Signal to Noise Ratio (PSNR) and Avalanche (AVA) with 79.00% and 42.34% in order. Inversely proportional to the length of the text that is hidden in the image, the longest text that is hidden, the more changes that we get in the image with the highest Unified Average Changing Intensity (UACI) and Number of Pixels Change Rate (NPCR) with the biggest image size with 46.48% for UACI and 99.86% for the NPCR. © 2023 IEEE.

关键词： Signal to noise ratio

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Radiation Pattern Characteristics of 1x5 and 1x6 Planar Microstrip Antennas with Edge Weighting at A Frequency of 2.6 Ghz

Radiation Pattern Characteristics of 1x5 and 1x6 Planar Micr...

引用

2023 International Conference on Computer Science, Information Technology and Engineering, ICCoSITE 2023

作者： Vistalina Simanjuntak, Imelda Uli Yunita, Trasma Chairunnisa, Chairunnisa Kurniawan, Adit Bandung Institute of Technology School of Electrical Engineering and Informatics Bandung Indonesia Mercu Buana University Electrical Engineering Study Program Jakarta Indonesia

ISBN: (纸本)9798350320954

One of the methods used to increase channel capacity is the Non-Orthogonal Multiple Access (NOMA) methods. The increase in channel capacity in PD-NOMA multiple access means that the maximum power used by each user in each narrow band achieves increased power efficiency. Therefore, this research focuses on facilitating the increase in channel capacity by designing an antenna that produces a radiation pattern with many sharp main lobes and high gain. The multi-beam radiation pattern is obtained by using edge weighting. Therefore the antenna is designed with odd and even numbers represented by 1x5 and 1x6 antennas on the microstrip patch rectangular antenna at a frequency of 2.6 GHz. The effect of parasitic and non-parasite effects on the radiation pattern of a planar antenna with edge modeling is manageable in the main lobe, only in the side level lobe, which is not too significant. However, the number of main lobes on the 1x6 antenna has seven beam patterns, and the 1x5 antenna has five. The highest gain value obtains in the 1x6 design with a parasitic of 6.01 dB. This value meets the Gain requirements for 5G cellular systems. © 2023 IEEE.

关键词： Microstrip antennas

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Javanese Script Single Letters Classification using GoogLeNet Architecture and Adam Optimizer Based on Convolutional Neural Networks (CNN)

Javanese Script Single Letters Classification using GoogLeNe...

引用

2023 International Seminar on Application for Technology of Information and Communication, iSemantic 2023

作者： Susanto, Ajib Sari, Christy Atika Mulyono, Ibnu Utomo Wahyu Rachmawanto, Eko Hari Setiadi, De Rosal Ignatius Moses Ali, Rabei Raad University of Dian Nuswantoro Study Program in Informatics Engineering Semarang Indonesia Northern Technical University Department of Computer Engineering Technology Mosul Iraq

ISBN: (纸本)9798350339215

This study examines the decline in the usage of the Javanese language, which has experienced a decrease in the number of speakers from approximately 82 million in 2007 to 68.2 million in 2015. The convergence of the Javanese script and Optical Character Recognition (OCR) technology is proposed as a solution, allowing for the preservation and accessibility of the Javanese script in the digital age. The integration of Convolutional Neural Networks (CNNs) in Javanese script classification achieved a high accuracy rate of 92.95% in identifying positive and negative cases. The dataset used for training consisted of 8440 sample images, which were divided into 20 subfolders for training and testing. The results presented in Table IV demonstrate the successful implementation of the classification model, achieving a 98.87% sensitivity, 100% precision, and 98.88% specificity. This research contributes to the preservation and understanding of the culturally significant Javanese script while addressing the decline in its usage. © 2023 IEEE.

关键词： Convolutional neural networks

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The Investigation of Student Engagement as Mediator in ICT Readiness and Experience on E-Learning Effectiveness in Post-Pandemic Recovery 9

The Investigation of Student Engagement as Mediator in ICT R...

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9th International Conference on ICT for Smart Society, ICISS 2022

作者： Sofia Amriza, Rona Nisa Saintika, Yudha Firmansyah, Aruga Yudish Information System Study Program Faculty of Informatics Institut Teknonogi Telkom Purwokerto Purwokerto Indonesia

ISBN: (数字)9781665471350

ISBN: (纸本)9781665471350

E-learning is an asynchronous or synchronous communication mode to confirm knowledge through electronic media. The implementation of e-learning in Indonesia has many challenges, including the low independent learning culture, which creates the perception that the absence of direct interaction between lecturers and students and e -learning does not always enhance students' abilities to study independently. The effectiveness of e-learning needs to assess to assist e-learning providers with product customization so that e-learning matches the needs and expectations of users. This study analyzes the effect of information and communication technology (ICT) readiness and experience on the effectiveness of e-learning with student engagement as a mediator. This research used Structural Equation Modeling Partial Least Square (SEM-PLS) to test the hypothesis. The results of this study are the mediation of emotional engagement on readiness, cognitive engagement on information seeking, cognitive engagement on socialization and behavior engagement on readiness and socialization have a significant effect on e-learning effectivity. © 2022 IEEE.

关键词： E-learning

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Emotion Classification Through Speech Recognition Using LSTM Model and MFCC Feature Extraction

Emotion Classification Through Speech Recognition Using LSTM...

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International Conference on informatics and Computing (ICIC)

作者： Ivana Lucia Kharisma Somantri Dila Aura Futri Muhammad Ilham Nurdiansyah Alfajar Tirawati Ika Informatics Engineering Study Program Nusa Putra University Sukabumi Indonesia

ISBN: (数字)9798331517601

ISBN: (纸本)9798331517618

In an era where human-machine interaction is becoming increasingly important, the ability to understand emotions can enhance user experience across various applications, such as customer service and monitoring systems. This study aims to develop an emotion recognition system through voice using the Long Short-Term Memory (LSTM) model and Mel-Frequency Cepstral Coefficients (MFCC) feature extraction. The dataset used in this research includes seven emotion classes: happy, sad, angry, surprised, neutral, fearful, and disgusted, with a total of 2.800 samples obtained from the open-source Kaggle platform. The LSTM model is implemented to capture temporal patterns in voice data, while MFCC features are employed to represent the characteristics of the voice. The evaluation results show a classification accuracy of 98.80%, with the LSTM model proving effective in addressing the challenges of time series data with long-term dependencies. This research not only contributes to the understanding of emotions through voice but also opens opportunities for further development of real-time emotion recognition systems. The implementation of this technology can enrich human-machine interaction, creating more responsive and emotionally aware systems, and contribute to innovations in artificial intelligence.

关键词： Human computer interaction Emotion recognition Technological innovation Time series analysis Speech recognition Feature extraction Real-time systems Mel frequency cepstral coefficient Artificial intelligence Long short term memory

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Secure E-Voting System for Student Associations in Private University Using Paillier Algorithm

Secure E-Voting System for Student Associations in Private U...

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Student Conference on Research and Development (SCOReD)

作者： Ivan Tenusa Eunike Endariahna Surbakti Fenina Adline Twince Tobing Adhi Kusnadi Informatics Study Program Informatics and Engineering Faculty Universitas Multimedia Nusantara

ISBN: (数字)9798350318821

ISBN: (纸本)9798350318838

The representatives of student associations at Private University are entrusted with the responsibility of empowering, facilitating, and nurturing the growth of the students, lecturers, and alumni within their respective programs. If the elected representatives do not align with the general consensus, problems are bound to arise. Therefore, student participation during the annual voting period is of utmost importance. When voting participation is low, the risk of the majority voice not being heard increases. Data from the General Election Commission in the private university reveals that among the four student associations in the Tech and IT Faculty, three of them have a participation rate lower than 50%.This research aims to develop an E-Voting system for Student Associations within the university, with the intention of replacing the currently utilized Google Form system and enhancing student participation in future voting periods. While constructing an electronic voting system, the security and confidentiality of participants are vital. The Paillier homomorphic encryption algorithm is employed in the system to encrypt and decrypt voting messages sent by voters, ensuring their confidentiality. This algorithm was chosen due to its relative recency, speed, and relevance to this research in comparison to other algorithms. A user acceptance test conducted using the Technology Acceptance Model (TAM) has demonstrated that the application has been successfully developed, with user assessments of 87.50% for perceived ease of use, 72.27% for perceived usefulness, 74.74% for behavioral intention, and 86.46% for actual usage.

关键词： Technology acceptance model Electronic voting systems Internet Cryptography Electronic voting Homomorphic encryption Research and development

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White Bread Mold Detection using K-Means Clustering Based on Grey Level Co-Occurrence Matrix and Region of Interest

White Bread Mold Detection using K-Means Clustering Based on...

引用

2023 International Seminar on Application for Technology of Information and Communication, iSemantic 2023

作者： Putra, Qori Alfatah Sari, Christy Atika Rachmawanto, Eko Hari Cahyo, Nur Ryan Dwi Mulyanto, Edy Alkhafaji, Mohamed Ayad University of Dian Nuswantoro Study Program in Informatics Engineering Semarang Indonesia University of Dian Nuswantoro Department of Informatics Engineering Semarang Indonesia National University of Science and Technology Department of Computer Science DhiQar Iraq

ISBN: (纸本)9798350339215

This research paper presents a bread mold identification system that utilizes digital image processing techniques, specifically K-means clustering and thresholding, to accurately detect and classify mold-infected areas on bread. The system aims to provide valuable information regarding the safety of consuming mold-contaminated bread, enabling consumers to make informed decisions and reduce the risk of health issues associated with consuming mold-infested bread. the K-means clustering algorithm for mold classification, considering factors such as the number of iterations and the distance metric within the feature space to determine its accuracy. The GLCM feature extraction technique is employed to extract texture information from bread images, encompassing features such as standard deviation (110.62), contrast (1.46), energy, and homogeneity (0.96 and 0.77, respectively). Experimental results demonstrate that the Euclidean Distance yielded the highest result of 72.73, the Cosine Distance obtained the highest result of 8.25, and the City Block Distance obtained the highest result of 92.11. These findings showcase the effectiveness of the system in accurately detecting and classifying mold-infected areas on bread, thereby aiding in ensuring food safety and reducing health risks for consumers. © 2023 IEEE.

关键词： Image segmentation

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Challenges on Cloud Computing Migration Strategy for Music Industry: A Systematic Literature Review

Challenges on Cloud Computing Migration Strategy for Music I...

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2023 International Conference on informatics, Multimedia, Cyber and Information Systems, ICIMCIS 2023

作者： Wirasti, Hijir Della Seta, Henki Witarsyah, Deden Prabu, Hamonagan K Azzahro, Ayu Hananto, Bayu Telkom University Faculty of Engineering Industry Bandung Indonesia Universitas Pembangunan Nasional Veteran Informatics Study Program Computer Science Faculty Jakarta Indonesia

ISBN: (纸本)9798350307306

Cloud computing has emerged as a transformative technology that offers numerous benefits to various industries, including the music industry. Cloud computing has revolutionized the way businesses operate and has had a significant impact on various industries, including the music industry Cloud computing, with its scalability, flexibility, and cost-effectiveness, presents an opportunity for the music industry to leverage technology to enhance its operations and meet the evolving demands of the digital era. This paper presents a systematic literature review on cloud computing migration strategies specifically tailored for the music industry. The review aims to identify existing research, frameworks, and best practices related to cloud migration in the music industry, as well as highlight the challenges and opportunities associated with such migrations. Through an analysis of relevant literature, this study provides valuable insights to assist music industry stakeholders in developing effective cloud migration strategies. © 2023 IEEE.

关键词： Cloud computing architecture

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YoBagi's User Experience Evaluation using User Experience Questionnaire 7

YoBagi's User Experience Evaluation using User Experience Qu...

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7th International Conference on informatics and Computing, ICIC 2022

作者： Juniawan, Fransiskus Panca Sylfania, Dwi Yuny Putra, Rendy Rian Chrisna Henderi Program Study of Technology Information University of Bangka Belitung Pangkalpinang Indonesia Program Study of Informatics Engineering Institut Sains Dan Bisnis Atma Luhur Pangkalpinang Indonesia University of Raharja Informatics Engineering Faculty of Science and Technology Tangerang Indonesia

ISBN: (纸本)9798350345711

The pandemic has brought many negative impacts on human life. One of the negative impacts is economic downturn of Micro, Small, and Medium Enterprise (MSME) actors in Bangka Belitung Province. To solve this problem, a website-based marketplace platform called Yobagi was created. As we know, a new software product must have a good user experience. By having a good user experience means that the product has met the needs of its users. For this reason, an evaluation of the user experience is necessary. This study aims to measure the user experience of using Yobagi. The evaluation uses the User Experience Questionnaire (UEQ) tool, which consists of six scales: Attractiveness, Efficiency, Perspicuity, Dependability, Stimulation, and Novelty. There were 40 respondents who were taken from the top of MSME actors. As the UX evaluation results, it is known that the final score of the six scales is above 0.8 and at the excellent level. This means that Yobagi users have a very good user experience in using Yobagi. In addition, Yobagi has met the criteria for good software by having an excellent user experience value. © 2022 IEEE.

关键词： User experience

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Detection and Enhancement of Bahasa Standardized Word in Online News Draft using Levenshtein Algorithm :U-Tapis

Detection and Enhancement of Bahasa Standardized Word in Onl...

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International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)

作者： Jezreel Kosasih Marlinda Vasty Overbeek Niknik Mediyawati Rudi Sutomo Samiaji Bintang Nusantara Informatics Study Program Universitas Multimedia Indonesia Tangerang Indonesia Digital Journalism Study Program Universitas Multimedia Nusantara Tangerang Information System Study Program Universitas Multimedia Nusantara Tangerang

ISBN: (数字)9798331519643

ISBN: (纸本)9798331519650

The research on standardized word error detection and correction is based on technological advances and artificial intelligence as well as the problem of errors that are common in writing journalistic articles due to time constraints and work demands. The research on standardized word error detection and correction is also based on previous research, namely U-Tapis research. The research is a development of U-Tapis research to create a text-based application machine learning to detect and correct word or sentence errors in Indonesian. The research uses the Levenshtein Distance algorithm as the main algorithm for processing input articles. This algorithm will match each character in a word and produce a ratio or similarity value. The research shows success with the accuracy of nonstandard word detection up to 99% and F1 score reaching 92.5%. The research proved to be effective in detecting nonstandard words in Bahasa news articles and was able to replace the word with a standard word.

关键词： Seminars Machine learning algorithms Accuracy Machine learning Writing Natural language processing Time factors Intelligent systems Standards Testing

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