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All Journal Techno.Com: Jurnal Teknologi Informasi International Journal of Advances in Intelligent Informatics JAIS (Journal of Applied Intelligent System)
Prajanto Wahyu Adi
Universitas Diponegoro
Computer Science & IT Engineering

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Pengembangan Sistem Manajemen Naskah Soal dengan Keamanan Pre-Hash Coding Prajanto Wahyu Adi; Retno Kusumaningrum
Techno.Com Vol 20, No 4 (2021): November 2021
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/tc.v20i4.5271

Abstract

Sistem pengelolahan dokumen secara elektronik sudah menjadi salah satu kebutuhan penting dalam institusi pendidikan khususnya dalam pengelolaan naskah soal. Masalah utama dalam pengelolaan naskah elektronik adalah adanya berbagai format yang digunakan serta kekhawatiran terhadap tingkat keamanan akun. Sistem keamanan akun dengan menggunakan password yang sederhana akan mudah diretas sedangkan penggunaan sistem yang kompleks akan mempersulit pengguna. Departemen Informatika Universitas Diponegoro mengembangkan sistem manajemen naskah soal yang mampu menghasilkan format naskah soal sesuai dengan standar tunggal serta memiliki sistem keamanan yang sederhana namun kuat melalui sistem pre-hash coding dengan nilai unik pengguna melalui dua skema. Pengujian pertama yang dilakukan berhasil membuktikan kemampuan sistem dalam menghasilkan naskah soal sesuai dengan standar tunggal. Percobaan kedua dilakukan untuk menguji tingkat keamanan terhadap nilai hash dari sampel password melalui uji brute-force menggunakan sistem Hashcat. Sistem yang diusulkan mampu menggagalkan peretasan sebesar 40% pada karakter alfanumerik pada skema pertama dengan operator bitwise xor sedangkan pada skema kedua dengan operator penjumlahan mampu menggagalkan seluruh peretasan yang dilakukan. Sistem yang diusulkan mampu memenuhi kebutuhan pengguna terhadap password yang sederhana namun kuat.
New Image Texture Feature for Chest X-Ray Classification Prajanto Wahyu Adi; Fajar Agung Nugroho; Yani Parti Astuti
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.v7i1.5340

Abstract

This study proposes a new feature extraction model to identify CXR images of covid-19 and pneumonia has a high visual resemblance. The feature extraction model starts by using histogram equalization and average filters as lowpass features and high pass features obtained through Laplacian and LoG filters. In the next step, covariance matrix of image along with the entire features are used to produce an eigen vector that will be used as a feature vector in the classification process. The final stage is the process of testing features on the classification algorithms KNN, SVM, LDA, Naïve Bayes, and Decision Tree through a 10-foldcross validation scheme with 0.9 training data and 0.1 test data. The first experiment for the Covid-19 and normal classes shows that the proposed model is able to produce an accuracy of 96% as the comparison model with GLCM texture extraction have an accuracy value of 91%. The second test is conducted for the class Covid-19 and pneumonia and obtained an accuracy value of 89% for the proposed model and 73% for the GLCM texture extraction. Experiments proved that the proposed model successfully outperformed the GLCM texture extraction model in all of classification algorithms used.
Fragile watermarking for image authentication using dyadic walsh ordering Prajanto Wahyu Adi; Adi Wibowo; Guruh Aryotejo; Ferda Ernawan
International Journal of Advances in Intelligent Informatics Vol 9, No 3 (2023): November 2023
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v9i3.1017

Abstract

A digital image is subjected to the most manipulation. This is driven by the easy manipulating process through image editing software which is growing rapidly. These problems can be solved through the watermarking model as an active authentication system for the image. One of the most popular methods is Singular Value Decomposition (SVD) which has good imperceptibility and detection capabilities. Nevertheless, SVD has high complexity and can only utilize one singular matrix S, and ignore two orthogonal matrices. This paper proposes the use of the Walsh matrix with dyadic ordering to generate a new S matrix without the orthogonal matrices. The experimental results showed that the proposed method was able to reduce computational time by 22% and 13% compared to the SVD-based method and similar methods based on the Hadamard matrix respectively. This research can be used as a reference to speed up the computing time of the watermarking methods without compromising the level of imperceptibility and authentication.
Co-Authors Adi Wibowo Fajar Agung Nugroho Ferda Ernawan Guruh Aryotejo Retno Kusumaningrum Yani Parti Astuti