1,721,031 research outputs found
Perancangan Website Kelurahan Titi Rantai Medan Menggunakan PHP dan MYSQL
Perkembangan teknologi seperti sekarang ini, baik di instansi pemerintah maupun swasta
dituntut untuk dapat mengikuti serta mengetahui derasnya arus informasi dalam segala
bidang khususnya dalam bidang komputer. Dengan pemakaian komputer tersebut akan
semakin mempermudah dalam melakukan pengolahan data dan sangat berpengaruh dalam
efisiensi dan efektifitas kerja. Komputer adalah salah satu kemajuan teknologi yang dalam
perkembangannya sangat membantu dalam instansi pemerintah khususnya untuk
meningkatkan pelayanan masyarakat.159 HalamanKertas Karya Diplom
Analisis Konsep Virtualisasi pada Controller dalam Jaringan LAN berbasis Openflow
Software defined networking (SDN) is a concept in networking technology to simplify
the management and control of the network. One of the implementation of the SDN
concept is Openflow protocol, which the main idea is to separate the function of control
plane from the switching ASIC, by moving it to other device named controller. By doing
the separation, the switch only has the data plane function. The separation of control
plane and data plane doesn’t mean that the devices work individually as the switch still
need instructions from the controller to operate. Controller could control one or many
switches and they communicate between a dedicated control network. Besides the
appearance of security vulnerables, that controller’s characteristic makes network
management more difficult to handle, especially if single controller used to handle all
the network. Using emulation method, the author will analyze the virtualization concept
in the controller. The result of this research to to find an approach in controller
configuration to optimize network management and security in a Openflow based LAN.
The result of this emulated research could also be a reference in a real world network
scenario.Software defined networking (SDN) merupakan pendekatan pada teknologi jaringan
yang melakukan penyederhanaan terhadap kontrol dan manajemen jaringan. Salah satu
realisasi dari SDN adalah pengembangan protokol Openflow, dimana prinsip utamanya
adalah pemisahan fungsi control plane dari switching ASIC dengan memindahkannya
ke perangkat controller, sehingga switching ASIC hanya menjalankan fungsi dari data
plane. Pemisahan control plane dari data plane tidak berarti perangkat tersebut terpisah
secara operasional, karena switch tetap membutuhkan perintah dari controller dalam
menjalankan fungsinya. Controller dapat membawahi banyak switch, dan komunikasi
antara controller dan switch melalui control network. Selain munculnya celah
keamanan, sifat dari controller tersebut membuat manajemen jaringan akan semakin
sulit apabila sebuah switch berperan sebagi controller terhadap seluruh jaringan.
Melalui metode emulasi, dalam penelitian ini penulis melakukan analisis terhadap
konsep virtualisasi yang diterapkan pada sebuah controller, dimana hasil yang diperoleh
yaitu rancangan desain controller yang tepat untuk optimasi keamanan maupun
manajemen jaringan LAN berbasis Openflow. Hasil yang diperoleh melalui penelitian
dengan emulasi tersebut dapat dijadikan rujukan dalam penerapan jaringan Openflow
pada skenario jaringan di dunia nyata.68 HalamanTesis Magiste
Metode Eksak Untuk Persoalan Dua Eselon Satu Sumber dari Lokasi Fasilitas Berkapasitas
Facility location problem is an important part of integer programming problems, with application in the field of telecommunications, and transportation industry. This thesis discussed the facility location problem with two echelon. Each second echelon facilities have limited capacity and can only be supplied by a facility on second echelon. Each customer is served only by a single facility in echelon dua. The number and location of the second echelon of customers to facilities determined echelon two simultan.38 HalamanTesis Magiste
Linierisasi Persoalan Kuadratik Biner
Optimization problem is a part of everyday life problems. Most of them are things related to integer programming, particularly in Binary Quadratic Problem (BQP), where the formula is not linear either in the target function or the function using nonlinear optimization method or using specific method to do linear optimization, but the formula needs to be simplified to get a linear optimization. At the beginning, the linearization technique is designed for quadratic tasks, but then, since linearization is part of a large class the linearization technique can be applied to Binary Quadratic matters with problems in tasking. Thus, it is possible to figure out a specific linearization that can solve the problems in a simple way.42 HalamanTesis Magiste
Reduksi dan Bentuk Normal Matriks Pensil
Matrix Pencils A - ),J3 is a generalized eigenvalue,· where ,,\ is a eigenvafoe that
corresponding with det (A - >.B) = 0, A and B is a. matrix square non singular,
such that matrix pencils divide into two type, regular pencils and singular pencils.
All matrix pencils A - B can be reduced to a canonical form (with equivalence
transformation) and all matrix pencils A->.B can be find the canonical form such
as then we call the normal form of matrix pencils, and furthermore, the canonical
form of matrix pencils represented in kronecker canonical form.46 HalamanTesis Magiste
Analisis Pengaruh Inisialisasi Bobot Nguyen Widrow dan Learning Rate pada Algoritma Learning Vector Quantization
The artificial neural netwrork is a field of science that is growing at the present time.
Many research using artificial neural networks as a research object. Artificial neural
networks are often used in daily life to perform face recognition, classification, decision
making, data compression, up to the field of robotics. One of the algorithms used to
classify the class of data is Learning Vector Quantization (LVQ). Learning process on
LVQ normally use representative vector weights initialization to obtain final weights to
be used as the basis for recognizing a class that included the testing process. The purpose
of this study was to determine the accuracy of LVQ algorithm using representative
vector weights initialization, Nguyen Widrow weight initialization, and the
combination of representative vector weights initialization with Nguyen Widrow
weight initialization are applied to the two datasets are datasets balance scale and
banknote authentication. Results from this research indicate that the use of Nguyen
Widrow weights initialization on testing dataset balance scale produces the highest level
of accuracy that is equal to 88.71% and showed the same degree of accuracy in all tests
for banknote authentication dataset that is equal to 92.23%.96 HalamanTesis Magiste
Analisis Metode Analytical Hierarcy Process (AHP) adn Technique for Others Preference by Similarity to Ideal Solution (TOPSIS)
The problems on a company or institution is often contrained on decision makers.
Computer science concept come with supporting computer - based decision making
(Computer Based Decision Support System). In many decision making criteria and
methods used. Decision Making done experts are currently doing by using several
methods to get the value and raking are approaching a decision makers. Analysis of
combination of Analytical Hierarcy Process (AHP) and Technique For Others
Preferenceby Similarity to Ideal Solution (TOPIS) expect can help generate search
results ranking approaching a decision makers. It will be made the decision making
supporting based computer (Computer Based Decision Support System) as suppport in
generating the expected value, the combination method of Analytical Hierarcy Process
(AHP) and Technique For Others Preference by Similarity to Ideal Solution (TOPSIS)
in determining admissions scholarship Bidik Misi. The weakness of the TOPSIS
method in determining the weighting of the criteria manually, can be overcome by
using the method of AHP. In the case, AHP assessment criteria paired up to get the
value weights. The weighting value is then used by TOPSIS method in the process of
ranking.53 HalamanTesis Magiste
Analisis Error dan Epoch dengan Pengembangan Adaptive Learning Rate dan Parameter Momentum pada Metode Backpropagation
Backpropagation algorithm is partofan Artificial Neural Netrvort (ANN), which has
some hidden screen. Backpropagation algorithm is also a multi-layer linish that is
widely used for large problerns, however, the backpropagation algorithm also has
weaknesses in the leaming process is quiteslow. In this study the authors analyze how
to develop a backpropagation algorithm using leaming rate and momentum
parameters to minimize the error and acourate epoch as the process of calculating the
weight change. The result showed that the development is carried out to obtain best
value on the momontum value of 0.9 and 1.0 and the value of leaming rde is > 0.7. It
is proved that the value of leaming by using the parameter values of momentum and
learning rate values above are best used as convergence rate acceleration.Algoritma backpropagation merupakan bagian dari Jaringan Syaraf Tiruan (JST) yang memiliki beberapa layar tersembunyi, Algoritma backpropagation juga merupakan multi layer yang banyak digunakan untuk menyelesaikan persoalan yang luas, akan tetapi, algoritma backpropagation juga memiliki kelamahan pada proses pembelajaran yang cukup lambat. Pada penelitian ini penulis menganalisis bagaimana mengembangkan algoritma backpropagation dengan menggunakan learning rate dan parameter momentum untuk meminimalisir error dan epoch yang akurat sebagai proses menghitung perubahan bobot. Dari hasil penelitian diperoleh bahwa pengembangan yang dilakukan memperoleh nilai paling baik pada nilai momentum yaitu 0,9 dan 1.0 dan nilai learning rate yaitu > 0,7.Hal ini membuktikan bahwa nilai pembelajaran dengan menggunakan nilai parameter momentum dan nilai learning rate diatas sangat baik digunakan sebagai percepatan laju konvergensi.77 HalamanTesis Magiste
Model Optimisasi Pengendalian Persediaan dengan Memperhatikan Keandalan
This article investigates an instantaneous production plan to obtain an optimal ordering
Policy wherein demand exceeds supply all items are subjected to inspections and defective items are discarded. The unit cost of production is inversely related to both process reliability and demand rate. Under reasonable conditions, maximum positive cost savings are generated when the process reliability increases42 HalamanTesis Magiste
Pendekatan Model Stokastik Untuk Pasar Saham
The problem of building real options into physical systems has three features : real
options are not easily defined as financial options, path dependency and interde-
pendencies among projects mean that the standard tools of options analysis tools
‘are insufficient and the focus is on identifying thebest way to build flexibility in-
to the design not to value individual options.tn this thesis suggests a framework
for exploring real options in physical systems that especially addresses these two
difficulties. This framework has two stage : options identification stage consists
of sceening and simulation models that focus attention on a small subset of the
possible combination of projects. The options analysis stage uses stochastic mized
integer programming to manage the path dependency and interdependency features.
This stochastic formulation enables the analyst to include more technical details
‘and develop explicit plans for the execution of projects according to the contingen-
cies the arise. Finally, a solution algorithm based on Langrangean relacation of
anticipativity is proposed.36 HalamanTesis Magiste
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