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All Journal IT JOURNAL RESEARCH AND DEVELOPMENT JSiI (Jurnal Sistem Informasi) Bulletin of Computer Science Research The Indonesian Journal of Computer Science
Ilham Firman Ashari
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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Journal : The Indonesian Journal of Computer Science

 1 
Sentiment Analysis of Tweets About Allowing Outdoor Mask Wear Using Naïve Bayes and TextBlob Ilham Firman Ashari; A, Fadhillah; M. Daffa; Sekar A
The Indonesian Journal of Computer Science Vol. 12 No. 3 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i3.3238

Abstract

Covid-19, a virus that attacks the respiratory tract and has a fairly high mortality rate, has spread throughout the country. On March 11, 2020, WHO declared Covid-19 a global pandemic. The government is trying various efforts to reduce the number of sufferers of this virus. Starting from the implementation of the lockdown, PPKM, to making Government Regulations related to the use of masks and so on for personal protection. In June 2021, there was a spike in Covid-19 cases in Indonesia and Covid-19 patients increased drastically. Conditions at that time were very chaotic, and left trauma for some people. On May 17, 2022, the government made concessions in the use of masks in open spaces while maintaining social distance. Even though masks play an important role in preventing the spread of the virus. With this, a research related to "Analysis of Sentiment on Tweets regarding Allowance for the Use of Masks in Outdoors using Naive Bayes was carried out" to find out public opinion. The research was conducted using Text Mining through Twitter sentiment and Naive Bayes for classification. Based on research, the majority of twitter users give a neutral response. This is indicated by the number of neutral sentiments of 75.76% or about 757 tweets. The data used in this study, namely 1000 Indonesian tweets with the keyword 'jokowi mask'. Testing data of 20% resulted in a more accurate model, which resulted in an accuracy of about 85%, while the model using testing data of 30% only produced an accuracy of about 83%.
The Evaluation of Audio Steganography To Embed Image Files Using Encryption and Snappy Compression Ilham Firman Ashari
The Indonesian Journal of Computer Science Vol. 11 No. 2 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i2.3050

Abstract

Images are messages that can be kept secret, so security measures are needed. Techniques that can be used are cryptography and steganography. Steganography can be combined with cryptography to increase security. Images have a relatively large size; Therefore, a compression algorithm is needed. The compression algorithm used is lossless compression. MP3 audio is used as the cover media because it is the most popular audio file. In this study, aspects of imperceptibility, fidelity, recovery, payload, and robustness will be evaluated. The imperceptibility aspect is carried out by observing the RGB Histogram of the image and the audio frequency spectrum, the test results show that there is no significant difference between the audio before and after the image message is inserted. In the fidelity aspect, the PSNR result is above 30 dB. In the payload aspect, the file size after being encrypted with AES and RC4 is larger than just encoded using the base64 encoder. From the recovery aspect, the test results show a BER value of 0. Testing the robustness aspect by manipulating the bitrate, channel mode, and sample frequency, the test results show that the message cannot be extracted.
Co-Authors A, Fadhillah Andika Setiawan Ayu Soleha Idri, Mohamad M. Daffa Nasrulah, M. Anas Prasetyawan, Purwono Prastita, Dila Ayu Rahmat Rizky Muharram Raizummi Fil’aini Sekar A