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Iwan Setiawan Wibisono
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INDONESIA
Jurnal Ilmu Komputer
Published by Universitas Ngudi Waluyo
ISSN : -     EISSN : 26556316     DOI : -
Core Subject : Science,
Computer Science & IT
Jurnal Multimatrix ini sebagai media publikasi artikel penelitian, pengabdian masyarakat dalam bidang ilmu komputer
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 56 Documents
 1   2   3   4   5 
Analisa Algoritma Ciphers Transposition: Study Literature Juwita Artanti Kusumaningtyas
Multimatrix Vol. 1 No. 1 (2018)
Publisher : Universitas Ngudi Waluyo

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Abstract

Technological developments allow the sending and storage of data can be done quickly, easily, practically, and safely. One security used uses cryptographic techniques. Cryptography is a technique of converting original text (plaintext) into secret text (ciphertext) using cryptographic algorithms (ciphers) or what is called the encryption process. The decryption process is the process of converting data encoded into original data. One of the cryptographic algorithms is the Cipher Transposition Algorithm. The analysis aims to determine the characteristics and application of the Transposition Cipher. The method used in this study by means of Study Literature, analyzes previous research from journals related to the Transposition Cipher Algorithm. The results are in the form of a view using the study literature method and knowing the characteristics and application of the Cipher Transposition algorithm and analyzing trends in previous studies. Kata Kunci : Cryptography, Algorithms, Cipher Transposition, Study literature
Identifikasi Pola Tanda Tangan Berbasis Jaringan Syaraf Tiruan Dengan Metode Learning Vector Quantization Yoannes Romando Sipayung; Suamanda Ika Novichasari
Multimatrix Vol. 1 No. 1 (2018)
Publisher : Universitas Ngudi Waluyo

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Abstract

Abstrak - The introduction of signature patterns is one of the fields of pattern recognition that is currently developing. Each person's signature is generally identical but not the same. LVQ is a method of artificial neural networks to conduct learning in a supervised competitive layer. There are previous studies that use this method, but in these studies do not include the processing time needed to identify signature patterns. This research will test using this method. In this study, used image data with a size of 433 x 276 pixels as many as 300 pieces from 30 people, where each person was taken 10 signatures. For training data, the data is 180 signatures, while 120 test data are used for the test data. This study uses Canny edge detection to obtain an edge in the signature image. During the training process and LVQ testing, the process was carried out 3 times. The results of the training and testing with the LVQ metodel indicate that the method can identify the signature pattern well. Keywords:  Signature Patterns, Artificial Neural Network, Learning Vector Quantization 
PSO-SVM Untuk Klasifikasi Daun Cengkeh Berdasarkan Morfologi Bentuk Ciri, Warna dan Tekstur GLCM Permukaan Daun Suamanda Ika Novichasari; Yoannes Romando Sipayung
Multimatrix Vol. 1 No. 1 (2018)
Publisher : Universitas Ngudi Waluyo

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Abstract

Abstract— Of the two types of superior varieties cultivated cloves, clove types of zanzibar is the best kind. However, when not flowering of the three types of clove leaves indistinguishable from the image. This study uses 4 morphological features of shape, 3 color features and 10 most commonly used GLCM features and apply SVM for classification with Particle Swarm Optimization (PSO) optimization method to improve the accuracy of clove plant classification based on leaf surface image. Results of research on the top surface image classification leaf clovers, PSO-SVM method proposed is shown to have a higher accuracy compared with PSO-SVM method than previous research (Novichasari, S.I., 2015) with an accuracy of 90.5% and AUC 0.944. Keywords— Leaf image classification, cloves, shape, color, GLCM, PSO-SVM
Segmentasi Fuzzy C-Means Untuk Membantu Identifikasi Kualitas Beras Berdasarkan Nilai Threshold, Warna Dan Ukuran Iwan Setiawan Wibisono; Sri Mujiyono
Multimatrix Vol. 1 No. 1 (2018)
Publisher : Universitas Ngudi Waluyo

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Abstract

Abstrak— There are several types of rice circulating in Indonesian society, namely: fragrant pandan rice, rojolele, membramo, IR 64, IR 42, C4, etc. To get rice quality assurance, it is necessary to check the quality of rice which is usually done by experienced inspectors. This study aims to produce a tool for inspectors who can process the image of rice and classify the quality of rice and analyze the performance of the classification system. The steps that will be carried out include: preprocessing, feature extraction, and classification. The feature extraction method used is Statistical Feature Extraction in terms of its texture which is one of the physical characteristics of rice. While for classifying quality using the Fuzzy C-Means (FC-M) method. From the results of the study, it was found that the 3 final cluster centers were center cluster 1 (5.89333; 2.05), center cluster 2 (6.28199; 2.546), and center cluster 3 (6.96583; 2.999167) and validation was generated amounting to 92.82%.Keywords— Klasifikasi Beras. Image Processing, FC-M, Computer Vison
Pengaruh Media Sosial Sehat Terhadap Keberhasilan Ujian Sekolah Ditinjau dari Undang-Undang No. 19 Tahun 2016 tentang Perubahan Undang-Undang No. 11 Tahun 2008 tentang Informasi dan Transaksi Elektronik Arista Candra Irawati; Khifni Kafa Rufaida
Multimatrix Vol. 1 No. 1 (2018)
Publisher : Universitas Ngudi Waluyo

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Abstrak - Globalization has brought significant change toward social media communication as online media. Freedom and powerfull social media user participates, shares, and creates the content. Therefore, It is important to find a better content for students whose prepare final examination. Social media should become a motivation to for students to find educational content, nevertheless a negative aspect more popular. The paradox, then, emerges when the bad side finally meet internet regulation, UU ITE 2016, which restrict internet freedom. A regretful accident could be ignorance when the pupils of SMK Perintis 29 Ungaran have awareness and knowledge about the rules, compared with a breaking rule incident in SMK at Medan.Keywords: social media, final examination, success
Pembobotan Atribut PSO Untuk Klasifikasi Data Kinerja Akademik Mahasiswa Sri Mujiyono; Suamanda Ika Novichasari
Multimatrix Vol. 1 No. 1 (2018)
Publisher : Universitas Ngudi Waluyo

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Abstract

An educational database containing information about students is useful for predicting student academic performance. Mujiyono, Sri in 2017 has proven that PSO improves SVM performance for predicting student academic performance. This study aims to prove that PSO can improve the performance of the NBC, C4.5, SVM and NN classification methods for the classification of student academic performance. The results of this study prove that PSO can improve the performance of all the classification methods used. With PSO optimization, NN defeats the accuracy of SVM.
Kunci Motor Otomatis Menggunakan Recognize Sidik Jari Dengan Algoritma Neural Network Iwan Setiawan Wibisono; Sri Mujiyono
Multimatrix Vol. 1 No. 2 (2019)
Publisher : Universitas Ngudi Waluyo

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Abstract

Penggunaan kartu pengaman, password, dan verifikasi wajah telah banyak diketahui. Sehingga dengan adanya kunci otomatis ini dapat memudahkan dalam pengamanan. Saat ini sistem pengamanan menggunakan kartu sudah handal namun dalam system ini merupakan sebuah pilihan yang paling tepat. Seiring dengan perkembangan teknologi saat ini dituntut untuk dapat menciptakan suatu sistem yang lebih memudahkan pengguna (user) dengan menggunakan aplikasi neural network diharapkan dapat meningkatkan sistem pengamanan bagi para pemilik kendaraan.
PENERAPAN MODEL SIMULASI ORACLE VIRTUALBOX PADA KOMPETENSI SISTEM OPERASI DI SMK HIDAYAH SEMARANG Marsiska Ariesta Putri; Iwan Setiawan Wibisono
Multimatrix Vol. 1 No. 2 (2019)
Publisher : Universitas Ngudi Waluyo

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Abstract

Penelitian ini merupakan penelitian Quasi Experimen yaitu penelitian yang dimaksudkan untuk mengetahui atau mencoba meneliti ada tidaknya hubungan sebab akibat dengan membandingkan antara kelas eksperimen dan kelas kontrol. Penelitian ini bertujuan untuk mengetahui bagaimana proses penerapan model simulasi oracle virtulalbox, pengaruh penerapan model simulasi oracle virtulalbox terhadap peningkatan hasil belajar siswa dan untuk mengetahui respon atau pandangan siswa terhadap penerapan model simulasi oracle virtualbox pada kompentensi sistem operasi di SMK HIDAYAH Semarang. Jumlah populasi sebanyak 60 orang dan seluruh populasi digunakan sebagai sampel, data diperoleh melalui instrumen tes, dan angket. Adapun proses penerapan model simulasi oracle virtualbox pada penelitian ini ialah dengan mengajarkan terlebih dahulu kepada siswa kelas eksperimen tata cara menginstalasi aplikasi oracle virtualbox ke dalam sebuah komputer agar dapat digunakan sebagai simulasi dalam menginstal sistem operasi, berdasarkan hasil pretest kelas kontrol dan kelas eksperimen rata-rata hasil belajar siswa masih sangat rendah begitupun hasil posttest kelas kontrol masih banyak nilai siswa belum mencapai kriteria ketuntasan minimal sedangkan pada kelas eksperimen dengan penerapan model simulasi oracle virtualbox terjadi peningkatan hasil belajar, siswa telah mencapai kriteria ketuntasn minimal yang telah ditetapkan, ini menandakan bahwa penerapan model simulasi oracle virtualbox berpengaruh positif terhadap peningkatan hasil belajar siswa pada kompetensi sistem operasi di SMK HIDAYAH Semarang, dilihat dari rata-rata hasil belajar siswa dan hasil uji hipotesis yang telah dilakukan, selain itu pandangan atau respon siswa terhadap proses pembelajaran dengan penerapan model simulasi oracle virtualbox pada kompetensi sistem operasi direspon positif oleh siswa.
PENGEMBANGAN SISTEM INFORMASI PENERIMAAN MAHASISWA BARU BERBASIS WEB DI UNIVERSITAS NGUDI WALUYO Sri - Mujiyono; Yoannes Romando Sipayung
Multimatrix Vol. 1 No. 2 (2019)
Publisher : Universitas Ngudi Waluyo

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Abstract

Universitas Ngudi Waluyo saat ini telah berkembang dengan pesat hal ini dapat dilihat dari jumlah mahasiswa yang terus meningkat secara signifikan jumlah mahasiswa yang banyak, maka perlu pelayanan yang pesat pula. Pengembangan Sistem Informasi Transaksional Penerimaan Mahasiswa Baru berbasis Web adalah sebuah sistem yang dibangun untuk mempercepat dan mempermudah penerimaan mahasiswa baru. Sistem ini dibangun dengan menggunakan bahasa pemrograman PHP dan database MySQL. Dalam aplikasi ini terdapat dua user, admin dan Panitia PMBProgram aplikasi ini akan sangat membantu baik bagi pihak panitia penerimaan mahasiswa baru (PPMB) yang merupakan ajang promosi kampus ke dunia luas, juga membantu calon mahasiswa yang berasal dari luar kota ataupun luar pulau
OPTIMASI KLASIFIKASI DATA KINERJA AKADEMIK MAHASISWA MENGGUNAKAN SVM BERBASIS ALGORITMA GENETIKA Suamanda Ika Novichasari
Multimatrix Vol. 1 No. 2 (2019)
Publisher : Universitas Ngudi Waluyo

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Abstract

For a college, especially a private university, students are the main component that supports the survival of the college. An educational database containing information about students is useful for predicting student academic performance. Several studies on the classification of academic performance have been conducted, it is clear that classification problems generally exist in the number of attributes, too many unnecessary attributes will increase computational time and reduce accuracy. The combination of PSO + SVM has proven to be more effective than SVM in various types of datasets. Therefore, this study will try to compare SVM-GA for the classification of student academic performance so that students who have good and bad academic performance can be seen. The data used is the academic performance data of the midwifery students of Ngudi Waluyo University, 2012-2014. The highest accuracy of SVM-GA is the accuracy of 93.55% and AUC 0.977. The previous SVM method had an accuracy of 90.51% and AUC 0.963. Based on the AUC value, the performance of the proposed SVM-GA method is in the "Perfect" group. 

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