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All Journal MATEMATIKA JURNAL SISTEM INFORMASI BISNIS
Surarso Bayu
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Computer Science & IT Economics, Econometrics & Finance Mathematics

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PROGRAM APLIKASI KEAMANAN CITRA DENGAN ALGORITMA DES DAN TRANSFORMASI WAVELET DISKRIT Solichin, Zaki; Bayu, Surarso; Sarwoko, Eko Adi
MATEMATIKA Vol 15, No 1 (2012): JURNAL MATEMATIKA
Publisher : MATEMATIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (344.998 KB)

Abstract

Application program security image using DES cryptographic algorithm and discrete wavelet transform is an application program that is used to secure image transmission through the Internet. Manufacturing processes are as follows, first is to make the program application for image encryption ciphertext is a program that is used to transform the initial image into the form of a compressed image using advanced discrete wavelet transform (DWT) and the Haar filter, then encrypt image transformation results with using the DES encryption algorithm specified by the encryption key, the encrypted form of information in the form of ciphertext. The second process is the process for making an application program to restore the initial image into the form ciphertext, the ciphertext decrypt the encrypted image and the particular key (the key with encryption) using DES decryption algorithm, the decrypted image, then decrypted form of the image is brought back into form initial image using inverse discrete wavelet transformation (IDWT) and reconstruction program.
Graf Fuzzy Produk Firmansyah, Fery; Bayu, Surarso
MATEMATIKA Vol 14, No 3 (2011): Jurnal Matematika
Publisher : MATEMATIKA

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Abstract

Fuzzy graph is a graph which is consists of a pairs of vertex and edge that have degree contained on closed interval of real number [0,1] on each edge and vertex. Product fuzzy graph was defined by Dr. V. Ramaswamy and Poornima B by replacing “infimum” in definition of fuzzy graph by “product”. In this paper we study product fuzzy graph complete, in connection  complement of produk fuzzy graph, join of produk fuzzy graph and multiplication of produk fuzzy graph. We show that complement of the multiplication of two product fuzzy graphs complete is a multiplication of its complement, in which this disposition produces nil graph.  
Kombinasi Modified K-Nearest Neighbor dan Certainty Factor untuk Peningkatan Akurasi Diagnosis Malnutrisi Zati, Hulwani; Eko, Sediyono; Bayu, Surarso
Jurnal Sistem Informasi Bisnis Vol 14, No 3 (2024): Volume 14 Nomor 3 Tahun 2024
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol14iss3pp289-301

Abstract

Malnutrition remains a major public health challenge in low and middle-income countries. This research proposes a method for diagnosing malnutrition diseases by combining Certainty Factor (CF) and Modified K-Nearest Neighbor (MKNN). CF is used to obtain certainty values from the symptoms experienced by patients, while MKNN classifies patient symptom data into specific disease classes based on proximity to the training data. The symptom CF values are combined with the rule CFs to obtain the final CF for each disease. The patient's CF data becomes the testing data, while the disease dataset is the training data. The MKNN technique involves calculating the Euclidean distance, validity, and applying weight voting to identify the class to which the testing data belongs based on the majority class of the k nearest training data. In the test case, CF indicated a tendency towards Kwashiorkor, reinforced by MKNN with the majority of the nearest training data classified as Kwashiorkor. Cross-validation testing with 20 testing data resulted in an accuracy of 95% for the combined CF-MKNN method. The combination of the two methods mutually reinforces and increases the confidence in the diagnosis.
Co-Authors Eko Adi Sarwoko Eko Sediyono Fery Firmansyah Zaki Solichin Zati, Hulwani