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All Journal JITK (Jurnal Ilmu Pengetahuan dan Komputer) JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal ULTIMATICS JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Teknik Informatika (JUTIF) Adjektiva: Educational Languages and Literature Studies Alinea: Jurnal Bahasa, Sastra, dan Pengajaran MAANA: Jurnal Pendidikan Islam Anak Usia Dini Qomaruna Journal of Advance in Language, Literature, and Education
Pariyasto, Sofyan
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Adagrad Optimizer with Compact Parameter Design for Endoscopy Image Classification Pariyasto, Sofyan; Suryani; Arfeni Warongan, Vicky; Vika Sari, Arini; Wijaya Widiyanto, Wahyu
ULTIMATICS Vol 17 No 2 (2025): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ti.v17i2.4225

Abstract

Research on CNN Model and Adagrad Optimizer is expected to help identify diseases in the medical world. Especially in the field of image classification in Gastrointestinal endoscopic procedures . The research is specifically for the process of classifying medical images of Diverticulosis, Neoplasm, Peritonitis and Ureters . Previously, there have been quite a lot of studies on CNN and its various optimizers. However, those who have studied the Adagrad optimizer are not too many, especially those discussing the use of minimum parameters. The use of minimum parameters is expected to be one of the contributions of researchers in the fields of computing and medicine. The research was conducted to determine the use of the best parameters and obtain the highest level of accuracy. The research was conducted using minimum epochs starting from epoch 1, epoch 5, and epoch 10. Then the combination process between epoch and the number of convolution layers between 1 and 5 was carried out, resulting in 15 combinations. The test was carried out using 4000 images with 1000 images in each class. From the results of the test, the highest accuracy value was obtained, namely 82.875%. Then the highest average accuracy value was 81.625%.
Comparative Analysis of RGB and Grayscale Pixel-Based Similarity Methods for Lung X-ray Image Retrieval in Clinical Decision Support Systems Widiyanto, Wahyu Wijaya; Nizam Husen, Mohd; Pariyasto, Sofyan; Susanto, Edy
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 6 (2025): JUTIF Volume 6, Number 6, Desember 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.6.5570

Abstract

Chest X-ray imaging is widely used to support the diagnosis of lung diseases, yet many automated similarity techniques still rely on RGB formats, which differ from the grayscale images commonly used in clinical systems. This discrepancy raises the question of whether color information is necessary for effective similarity assessment. This study aims to evaluate the performance of RGB and grayscale pixel-based similarity methods for lung X-ray analysis and determine whether grayscale images can provide comparable similarity performance with lower computational demands. A total of 300 chest X-ray images representing normal, pneumonia, and COVID-19 categories were processed in both formats. Pixel-level similarity was calculated across 30,000 image pairings, followed by statistical testing to assess differences between methods. The results show that grayscale similarity scores closely match those of RGB, with variations generally below 0.3%. A meaningful difference was observed only in the comparison between normal and COVID-19 images, indicating that RGB may capture subtle visual variations not present in grayscale. Overall, this study demonstrates that grayscale pixel-based similarity analysis provides a reliable and computationally efficient approach, contributing to the development of lightweight medical image retrieval and clinical decision support systems in the field of health informatics.
ANALISIS KEAMANAN LALU LINTAS WEB PADA PERANGKAT IOT ESP8266 MENGGUNAKAN TEKNIK SNIFFING PAKET Pariyasto, Sofyan; Agus, Raja Tama Andri; Priyulida, Fitria; Julita, Rina
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 4 (2025): November 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i4.5110

Abstract

Abstract: Technological developments in recent years have increased quite rapidly, especially in the field of IoT (Internet of Things). With the increasing development of IoT, of course, in line with the increasing use of IoT devices in everyday life. With the increasing number of IoT devices, the issue of data security in IoT devices is certainly one of the important things that must be considered. In this study, a security analysis of web data traffic was conducted on the IoT NodeMCU esp8266 device. The experiment was conducted using two IoT devices acting as senders and receivers of data and one computer device as an attacker. In the analysis process, three scenarios were carried out: sending data without encryption, sending data with base64 encryption without a key, and finally sending data with XOR encryption with a key inserted in the header of the sent data packet. The tapping process was carried out using Wireshark software. From the results of the trials carried out, the entire data transfer process between the two IoT devices can be fully intercepted by Wireshark. Plaintext data (without encoding) tends to be easier to obtain information, while data with encryption without a key on base64 must be analyzed for its pattern to be able to be decrypted. And for encryption that requires a key in XOR, further analysis is carried out by looking for the key inserted in the header so that decryption can be carried out. Keywords: Internet Of Things (IOT); Wireshark; NodeMCU; Base64 Encoding, XOR Encoding. Abstrak: Perkembangan teknologi dalam beberapa tahun terakhir meningkat dengan cukup pesat khususnya dalam bidang IOT (Internet Of Things). Dengan semakin meningkatnya perkembangan IOT tentu sejalan dengan meningkatnya penggunaan perangkat IOT dikehidupan sehari-hari. Dengan semakin banyaknya perangkat IOT yang ada tentu masalah keamanan data dalam perangkat IOT menjadi salah satu hal penting yang harus diperhatikan. Dalam penelitian ini dilakukan analisa keamanan lalu lintas data web pada perangkat IOT NodeMCU esp8266. Percobaan dilakukan dengan menggunakan 2 perangkt IOT yang bertindak sebagai pengirim dan penerima data dan satu perangkat komputer sebagai penyerang. Dalam proses analisa dilakukan tiga skenario yaitu pengiriman data tanpa enkripsi, pengiriman data dengan enkripsi base64 tanpa key, dan yang terakhir pengirimn data dengan enkripsi XOR dengan key disisipkan di header paket data yang dikirim. Proses penyadapan dilakukan dengan menggunakan perangkat lunak Wireshark. Dari hasil ujicoba yang dilakukan seluruh proses transfer data antara kedua perangkat IOT dapat disadap sepenuhnya oleh Wireshark. Data plaintext (tanpa encoding) cenderung lebih mudah didapatkan informasinya, sementara data dengan enkripsi tanpa key pada base64 harus dianalisa polanya untuk bisa dilakukan dekripsi. Dan untuk enkripsi yang membutuhkan key pada XOR dilakukan analisa lanjutan dengan mencari key yang disisipkan diheader agar bisa lakukan dekripsi. Kata kunci:  Internet Of Things (IOT); Wireshark; NodeMCU; Base64 Encoding, XOR Encoding.
Co-Authors Abrar Arief, Mhd. Agus, Raja Tama Andri Arfeni Warongan, Vicky Astuti, Ermayanti Azmi, Zulfian edy susanto Ellanda Purwawijaya Irawati, Novica Julita, Rina Marpaung, Muhammad Sahrijal Monteres, Arlestito Nizam Husen, Mohd Nurhayati Nurhayati Priyulida, Fitria Sari, Arini Vika Simamora, Winri Sinaga, Alesia Lorenzza SURYANI Suryani . Suryani Suryani SYAHPUTRA, RIDWAN vicky arfeni warongan, vicky arfeni Vika Sari, Arini Widiyanto, Wahyu Wijaya