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All Journal JAIS (Journal of Applied Intelligent System) JOIN (Jurnal Online Informatika) Jurnal Nasional Komputasi dan Teknologi Informasi Jurnal Manajemen Informasi Kesehatan Indonesia (JMIKI) MULTINETICS Jurnal Teknologi Informasi dan Pendidikan JATI (Jurnal Mahasiswa Teknik Informatika) Journal of Innovation Information Technology and Application (JINITA) Jurnal Teknik Informatika (JUTIF) Informatics and Digital Expert (INDEX) Jurnal Puan Indonesia Tedc Journal of Informatics and Electronics Engineering Journal of New Trends in Sciences JPPkM: Jurnal Pengabdian dan Pemberdayaan kepada Masyarakat Journal of Applied Information Technology and Innovation
Dini Rohmayani
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Journal : JAIS (Journal of Applied Intelligent System)

 1 
Classification of X-Ray Images of Normal, Pneumonia, and Covid-19 Lungs Using the Fuzzy C-Means (FCM) Algorithm Dini Rohmayani; Ayu Hendrati Rahayu
Journal of Applied Intelligent System Vol 7, No 1 (2022): Journal of Applied Intelligent System
Publisher : Universitas Dian Nuswantoro and IndoCEISS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v7i1.5512

Abstract

Lung disease has a very serious impact on the respiratory system and can be dangerous if not treated immediately. At this time, lung diseases that are often encountered by the public include pneumonia and 2019 coronavirus. Many people mistake the disorder that occurs to him because the symptoms of Covid-19 and pneumonia are very similar. Thus, it is very important to know the difference between the two diseases so that early treatment can be carried out. Based on the problems that have been described, the author will propose a study entitled "Classification of X-ray Images of Normal Lungs, Pneumonia, and Covid-19 Using the Fuzzy C-Means (FCM) Algorithm". The aim of this study is to assist in classifying normal, pneumonia, and Covid-19 lungs. The reason for choosing this algorithm is that this algorithm has advantages in grouping cluster centers which are more optimal than other methods.
Fuzzy Logic for Determination of Community Assistance Using the Tsukamoto Method for Residents of Kasreman Village, Rembang Dahlan Dahlan; Dini Rohmayani; Rachmat Iskandar
Journal of Applied Intelligent System Vol 7, No 3 (2022): Journal of Applied Intelligent System
Publisher : Universitas Dian Nuswantoro and IndoCEISS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v7i3.7162

Abstract

The obstacle to regional progress and the main cause of social problems is due to the large number of poor people, so there must be a poverty management program by the government, one of which is citizen assistance. The selection process by the local village apparatus is very much needed in the process of determining the recipients of citizen assistance, because the quota for the recipients of citizen assistance is less than that of registrants for citizen assistance. The distribution of aid does not fall to the right party resulting in injustice to other underprivileged families so that it creates several problems, where the method that will be used is Tsukamoto's Fuzzy Logic. In this study, the data used are land area, income of residents, number of dependents of the family. The evaluation method carried out in this study is using a confusion matrix, for one test the level of accuracy produced is 92.74%. Based on the experiment, it can be concluded that the Tsukamoto algorithm is quite accurate in determining citizen assistance to the residents of Kasreman Village, Rembang.
Encryption of Information on Brain Tumor Images Using Vigenere Cipher Algorithm and Least Significant Bits Burjulius, Renol; Rohmayani, Dini; Lena, Sonty
(JAIS) Journal of Applied Intelligent System Vol. 8 No. 3 (2023): Journal of Applied Intelligent System
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v8i3.8973

Abstract

Cryptography is a branch of existing methods in mathematics which has the goal of being able to maintain the confidentiality of the information contained in the data so that the information is not known by parties who have no interest. Confidentiality of this information is important so that the information sent is not misused irresponsibly. Vigenere Cipher is a method used for cryptography. Vigenere Cipher works by using a tabula recta table where the table contains an alphabet arranged based on the Caesar Cipher shift. In this study, the Vigenere Chiper algorithm will be used to encrypt information into 25 brain tumor images. In the tests carried out on 25 images, the best MSE obtained was 1.541e-05, while the best PSNR was 48.1219, for the best SSIM it was 0.99995, then for the BER value, all images obtained a BER value of 0 and also for the entropy of the best steganography image, which was 6.8204.
Co-Authors Ade Yuliana Adiwijaya, Fariz Hasabi Akbar, Alvinda Alfadhlila, Rizky Alif Aqmal Mulqy Bagja Laksana Ari Sudrajat Aris Haris Rismayana Arsul . Arya Aditya Ayu Hendrati Rahayu Burjulius, Renol Castaka Agus Sugianto Dahlan Dahlan Dahlan Dahlan Fadhila, Reihan Salwa Fahrullah, Fahrullah Fahrurrozy, Muhammad Azmy Fathia Mawar Firdaus Firdhani Faujiyah Fredricka, Jhoanne Gerinata Ginting Heriyadi, Iqbal Idham Kholid Intan Puji Lestari Intan Pujilestari Iskandar, Rachmat Junia Rizqi, Kevin Kosasih, Heldi Akbar Lena, Sonty listiana, reni Lutfi Samsul Ma’arif Marlina, Lusi Maulana Yusuf, Farhan Maulana, Akbar Mohamed Doheir Muhammad Ridwan Mustopa, Muhamad Syamsul Nafea, Mohammed Mansoor Nia Ekawati, Nia Nova Agustina Novita Lestari Anggreini Nuhgraha, Yoddy Agung Perdana, Rangga Satria Prasetiyo, Agung Dwi Putra, Bima Laksana Rachmat Iskandar Ramdan, Faizal Ramlan . Renol Burjulius Reyhano, Sava Rizqy Dimas Monica Rizqy Dimas Monica Safrizal, Wahyu Sari Rahmawati, Sari Setiadi, Herdi Siti Maesaroh Sonty Lena Syams, Fawwaz Muhammad Syani, Mamay Tati Ernawati Taufik Fajar Mustafa Tresnawati, Shandy Yahya, Muhammad Alwi Yesti Suryati