1,720,961 research outputs found
PERBANDINGAN ALGORITMA DSATUR DAN ALGORITMA VERTEX MERGE UNTUK MENENTUKAN CHANNEL WLAN
No full textSeiring dengan perkembangan teknologi maka kebutuhan akan ketersedian akses internet melalui wireless lokal area network (WLAN) akan ikut meningkat. Semakin bertambahnya jumlah WLAN maka akan mempengaruhi kualitas dari WLAN itu sendiri, untuk itu diperlukan cara mengatasi masalah tersebut. Algoritma Dsatur dan algoritma Vertex Merge adalah dua buah algoritma yang dapat digunakan untuk membantu masalah diatas. Kedua algoritma ini bekerja berdasarkan konsep pewarnaan graf, setiap vertex dalam graf dianalogikan sebagai akses point dalam WLAN. Hasil penelitian ini menunjukkan bahwa Algoritma Vertex Merge bekerja lebih baik dibandingkan dengan algoritma Dsatur dengan menghasilkan lebih sedikit jumlah channel yang diperlukan.</jats:p
Analisis Perbandingan Toolkit Puran File Recovery, Glary Undelete Dan Recuva Data Recovery Untuk Digital Forensik
No full textThis paper presents a comparative analysis of three digital forensics toolkit for data recovery scenario that has been deleted. Toolkit used is Puran File Recovery, Glary Undelete and Recuva Data Recovery. Their ability to restore deleted data has been tested and analyzed in a USB flash drive. The results of the comparison show that this third toolkit can work well in terms of finding the data that has been deleted or in recovering the deleted data.</jats:p
Analysis of Network Quality of Service Performance on Software-Defined Network With Ryu Controller and Floodlight Controller
No full textThe use of internet network services by internet users to carry out various online activities is currently increasing. This causes a decrease in speed due to decreased performance due to the density of data packets on network traffic. To prevent this problem, a system is needed that allows users or network engineers to choose the best method. The methods used and compared are the use of Ryu and Floodlight controllers implemented in Software-Defined Network (SDN) technology. Testing is carried out by taking a Quality of Service (QoS) approach in SDN technology. Testing is carried out using one client as a server that responds to requests from several other clients. From the test results, the average bandwidth and throughput on the Ryu controller are 50.56 Mbps and 48.233 Mbps and the Floodlight controller is 48.13 Mbps and 45.971 Mbps. The percentage of packet loss and delay time produced is 4.62% and 165 ms for the Ryu controller, and 4.49% and 174 ms for the Floodlight controller. The comparison of bandwidth produced by both controllers is 50.56 Mbps > 48.13 Mbps. The test results prove that the Ryu and Floodlight controllers can be used to overcome congestion problems on internet networks according to the TIPHON standard category.61 PagesSkripsi Sarjan
Signcryption with RSA Algorithm and Digital Signature Scheme Inam-Kanwal-Zahid-Abid
No full textIn today's digital age, the need for secure communication is increasingly critical given the ever-increasing threats to privacy and data integrity. The fundamental need for a comprehensive security mechanism prompted the research to design a system that can protect data confidentiality, guarantee message integrity, and provide strong authentication. This research implements a signcryption system that combines RSA algorithm encryption with Inam-Kanwal-Zahid-Abid (IKZA) digital signature scheme to provide secure digital communication. The signcryption system in this study uses the encrypt-then-sign method, where the RSA algorithm is used for the encryption and decryption process, while the IKZA digital signature scheme is implemented for the signing and verification process. The signcryption process shows efficiency even for long messages (500 characters), with an average time of 0.017964 seconds for encrypt- then-sign and 0.03491 seconds for verify-then-decrypt. Performance testing shows strong resistance to brute-force attacks, with 30-bit numbers taking an average of 148.4 seconds to factorize, while 35-bit numbers cannot be factored within the 3600-second time limit. The proposed signcryption system successfully proved its effectiveness on a stand alone computer in providing digital communication security.66Skripsi Sarjan
Signcryption with RSA Algorithm and Digital Signature Scheme Inam-Kanwal-Zahid-Abid
No full textIn today's digital age, the need for secure communication is increasingly critical given the ever-increasing threats to privacy and data integrity. The fundamental need for a comprehensive security mechanism prompted the research to design a system that can protect data confidentiality, guarantee message integrity, and provide strong authentication. This research implements a signcryption system that combines RSA algorithm encryption with Inam-Kanwal-Zahid-Abid (IKZA) digital signature scheme to provide secure digital communication. The signcryption system in this study uses the encrypt-then-sign method, where the RSA algorithm is used for the encryption and decryption process, while the IKZA digital signature scheme is implemented for the signing and verification process. The signcryption process shows efficiency even for long messages (500 characters), with an average time of 0.017964 seconds for encrypt- then-sign and 0.03491 seconds for verify-then-decrypt. Performance testing shows strong resistance to brute-force attacks, with 30-bit numbers taking an average of 148.4 seconds to factorize, while 35-bit numbers cannot be factored within the 3600-second time limit. The proposed signcryption system successfully proved its effectiveness on a stand alone computer in providing digital communication security.66Skripsi Sarjan
Analisis Algoritma Rabin-Karp Pada Kamus Umum Berbasis Android
No full textDevelopment of the era had a considerable impact on the existence of a language. To overcome this there are some efforts to be made, one of which is to create a dictionary, a dictionary that was made to be practical and quick in use. Dictionary in question is a dictionary based on Android. To create a dictionary-based android can use string matching algorithm, one of the string matching algorithm is the Rabin-Karp algorithm, Rabin-Karp algorithm perform string matching hash value based on the text and the pattern hash value. The study produced an android based dictionary application which the base number is used to generate a hash value greatly affects the speed of search words. Average running time of 10 attempts to search for words is 14.9 ms.</jats:p
Implementation and Analysis Zhu-Takaoka Algorithm and Knuth-Morris-Pratt Algorithm for Dictionary of Computer Application Based on Android
No full textThe string matching algorithm is the one of the most important parts in the various processes related to data and text types, which is the word search on computer dictionary. Computers have a basic role in the field of education, especially in teaching and learning activities. So that the classical learning model, that is by using the book as learning resource can be boring. To make it easier for users who searching words, we made an offline dictionary application based on Android by applying Zhu-Takaoka algorithm and Knuth-Morris-Pratt algorithm. The performance of Zhu-Takaoka is doing a search starts from the end of pattern that is tailored to the text, but in Knuth-Morris-Pratt algorithm starts from the beginning of pattern till match which the pattern used is word searched. The result of this research indicates that the Zhu-Takaoka algorithm is faster than the Knuth-Morris-Pratt algorithm which showed the running time of each algorithm.</jats:p
JARINGAN SARAF TIRUAN DALAM MEMPREDIKSI SUKUK NEGARA RITEL BERDASARKAN KELOMPOK PROFESI DENGAN BACKPROPOGATION DALAM MENDORONG LAJU PERTUMBUHAN EKONOMI
Full text link<p><em>State Retail Sukuk is a Sharia Securities issued and its sale is regulated by the State, namely the Ministry of Finance (Depkeu). Where the government will choose the seller agent and consulting retail sukuk law. Selling agents must be obliged to have a commitment to the government in the development of the sukuk market and experience in selling Islamic financial products. The publication of this instrument is likened to a "mutualist symbiosis" between the Government and Society, both of which benefit equally. The government as the publisher benefits from the use of funds from the community, while the community benefits from investments made. This research contributes to the government and the Bank to be able to promote maximally for the next sukuk issuer. The data used is data from kemenkeu through website www.djppr.kemenkeu.go.id. The data are sukuk sales data with series 001 - 007 which are grouped into several categories namely geography, profession and age category. Algorithm used in this research is Artificial Neural Network with Backpropogation method. The input variables used are PNS (X1), Private Officer (X2), IRT (X3), Entrepreneur (X4), TNI / Polri (X5) and Others (X6) with architectural model of training and testing of 6 architectures 6-2-1, 6-5-1, 6-2-5-1 and 6-5-2-1. The output (output) generated is the best pattern of the ANN architecture. The best architectural model is 6-5-2-1 with epoch 37535, MSE 0.0009997295 and 100% accuracy rate. From this model will be conducted sensitivity analysis to see the variable that has the best performance and obtained variable Private Employees (X2) with a score of 0.3268. So obtained the results of the most investors predicted on the purchase of sukuk for the next 008 series based on the profession category is Private Employees.<br /> <br /> <strong>Keywords</strong>: Sukuk, JST, Backpropogation, Sensitivity Analysis and Prediction</em><em></em></p><p><em>Sukuk Ritel Negara</em><em> adalah </em><em>Surat berharga</em><em> </em><em>Syariah</em><em> yang diterbitkan dan penjualannya diatur oleh </em><em>Negara</em><em>, yaitu </em><em>Departemen Keuangan</em><em> (depkeu). Dimana </em><em>pemerintah</em><em> akan memilih </em><em>agen penjual</em><em> dan konsultasi hukum sukuk ritel. </em><em>Agen penjual</em><em> haruslah wajib memiliki komitmen terhadap </em><em>pemerintah</em><em> dalam pengembangan pasar </em><em>sukuk</em><em> dan berpengalaman dalam menjual </em><em>produk keuangan syariah</em><em>.</em><em> </em><em>Penerbitan instrumen ini diibaratkan sebuah “simbiosis mutualis” antara Pemerintah dan Masyarakat, dimana keduanya sama-sama memperoleh keuntungan. Pemerintah selaku penerbit memperoleh keuntungan berupa penggunaan dana dari masyarakat, sedangkan masyarakat memperoleh keuntungan dari investasi yang dilakukan. Penelitian ini memberikan kontribusi bagi pemerintah dan Bank untuk dapat melakukan promosi secara maksimal untuk penerbitat sukuk berikutnya. Data yang digunakan adalah data dari kemenkeu melalui website </em><em>www.djppr.kemenkeu.go.id</em><em>. Data tersebut adalah data penjualan sukuk dengan seri 001 – 007 yang dikelompokkan dalam beberapa kategori yakni geografis, profesi dan kategori umur. Algoritma yang digunakan pada penelitian ini adalah Jaringan Saraf Tiruan dengan metode Backpropogation. Variabel masukan (input) yang digunakan adalah PNS (X1), Pegawai Swasta (X2), IRT (X3), Wiraswasta (X4), TNI/Polri (X5) dan Lainnya (X6) dengan model arsitektur pelatihan dan pengujian sebanyak 6 arsitektur yakni 6-2-1, 6-5-1, 6-2-5-1 dan 6-5-2-1. Keluaran (output) yang dihasilkan adalah pola terbaik dari arsitektur JST. Model arsitektur terbaik adalah </em><em>6-5-2-1 dengan epoch 37535, MSE </em><em>0,0009997295 dan tingkat akurasi 100%</em><em>. Dari model ini akan dilakukan analisis sensivitas untuk melihat variabel yang memiliki performa terbaik dan diperoleh variabel Pegawai Swasta (X2) </em><em>dengan skor 0,3268</em><em>. Sehingga didapat hasil prediksi investor terbanyak pada pembelian sukuk untuk seri 008 berikutnya berdasarkan kategori profesi adalah </em><em>Pegawai Swasta</em><em>.</em></p><p><strong><em>Kata Kunci</em></strong><em>: </em><em>Sukuk</em><em>, </em><em>JST</em><em>, </em><em>Backpropogation</em><em>,</em><em> </em><em>Analisis Sensivitas dan Prediksi</em><em></em></p></jats:p
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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