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"Penelitian ini merupakan evaluasi performa LoRa dengan menggunakan arsitektur Simple Lora Protocol dengan frekuensi 433 MHz dan 915 MHz yang merupakan frekuensi ISM Band. Saat ini belum terlalu banyak yang mengadopsi teknologi LoRa di Indonesia. Namun dimasa depan nantinya akan banyak yang menggunakan teknologi LoRa dalam Internet of Things, seperti halnya smart city. Transmisi termodulasi LoRa kuat terhadap gangguan dan dapat diterima melintasi jarak yang jauh. LoRa sangat ideal untuk aplikasi yang mengirimkan ukuran data yang kecil, seperti data sensor yang memiliki bit rate rendah. Dalam hal ini, penulis melakukan evaluasi kinerja teknologi LoRa pada frekuensi 433 MHz dan 915 MHz dengan kondisi Line of Sight (LoS) dan Non-Line of Sight (Non-LoS) di lingkungan Universitas Indonesia. Parameter yang dievalusi, yaitu kekuatan sinyal (RSSI), Signal Noise Ratio (SNR), dan Delay. Perangkat prototipe ini disusun oleh sensor suhu dan kelembaban, modul LoRa sebagai transmitter dan receiver data yang dikirimkan, Arduino sebagai pengontrol rangkaian elektronika, dan Thingsboard yang merupakan cloud server untuk visualisasi data. Hasilnya menunjukan bahwa prototipe dapat berjalan dengan baik pada kedua kondisi. Pada frekuensi LoRa 433 MHz memiliki jangkauan sinyal hingga 350 meter pada kondisi LoS dan 150 meter pada kondisi Non-LoS. Sedangkan pada LoRa frekuensi 915 MHz memiliki jangkauan sinyal hingga 200 meter pada kondisi LoS dan 150 meter pada kondisi Non-LoS. Dengan demikian LoRa dengan frekuensi 433 MHz memiliki jangkauan sinyal yang lebih luas dibandingkan frekuensi 915 MHz. Selain itu terbukti Arsitektur Simple LoRa protocol dapat digunakan secara efisien untuk aplikasi IoT.

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This research is an evaluation of LoRa performance using the Simple Lora Protocol architecture with frequencies of 433 MHz and 915 MHz which are the ISM Band frequencies. Currently, not many people have adopted LoRa technology in Indonesia. However, in the future, many will use LoRa technology in the Internet of Things, such as smart cities. LoRa modulated transmission is strong against interference and can be received over long distances. LoRa is ideal for applications that transmit small data sizes, such as sensor data at low bit rates. In this case, the authors evaluate the performance of LoRa technology at 433 MHz and 915 MHz frequencies with Line of Sight (LoS) and Non-Line of Sight (Non-LoS) conditions at the University of Indonesia. Parameters evaluated are signal strength (RSSI), Signal Noise Ratio (SNR), and delay. This prototype device consists of a temperature and humidity sensor, a LoRa module as a transmitter and receiver of transmitted data, Arduino as an electronic circuit controller, and Thingsboard which is a cloud server for visualizing data. The results show that the prototype can run well in the second condition. At 433 MHz LoRa frequency has a range of up to 350 meters in LoS conditions and 150 meters in Non-LoS conditions. While the LoRa frequency of 915 MHz has a range of up to 200 meters in LoS conditions and 150 meters in Non-LoS conditions. Thus LoRa with a frequency of 433 MHz has a wider range than the frequency of 915 MHz. In addition, it is proven that the Simple LoRa protocol architecture can be used efficiently for IoT applications."

"MATLAB has become the standard software tool for solving scientific and engineering problems due to its powerful built-in functions and its ability to program. Assuming no knowledge of programming, this book guides the reader through both programming and built-in functions to easily exploit MATLAB's extensive capabilities for tackling engineering problems.The book starts with programming concepts, such as variables, assignments, and selection statements, moves on to loops, and then solves problems using both the programming concept and the power of MATLAB. In-depth coverage is given to input/output, a topic fundamental to many engineering applications.The third edition of MATLAB: A Practical Introduction to Programming and Problem Solving has been updated to reflect the functionality of the current version of MATLAB. It features new and revised end-of-chapter exercises, stronger coverage of loops and vectorizing, and more engineering applications to help the reader learn this software tool in context."

"The book presents eight well-known and often used algorithms besides nine newly developed algorithms by the first author and his students in a practical implementation framework.Matlab codes and some benchmark structural optimization problems are provided. The aim is to provide an efficient context for experienced researchers or readers not familiar with theory, applications and computational developments of the considered metaheuristics.The information will also be of interest to readers interested in application of metaheuristics for hard optimization, comparing conceptually different metaheuristics and designing new metaheuristics."

"Beyond simulation and algorithm development, many developers increasingly use MATLAB even for product deployment in computationally heavy fields. This often demands that MATLAB codes run faster by leveraging the distributed parallelism of Graphics Processing Units (GPUs). While MATLAB successfully provides high-level functions as a simulation tool for rapid prototyping, the underlying details and knowledge needed for utilizing GPUs make MATLAB users hesitate to step into it. Accelerating MATLAB with GPUs offers a primer on bridging this gap.Starting with the basics, setting up MATLAB for CUDA (in Windows, Linux and Mac OS X) and profiling, it then guides users through advanced topics such as CUDA libraries. The authors share their experience developing algorithms using MATLAB, C++ and GPUs for huge datasets, modifying MATLAB codes to better utilize the computational power of GPUs, and integrating them into commercial software products. Throughout the book, they demonstrate many example codes that can be used as templates of C-MEX and CUDA codes for readers? projects. Download example codes from the publisher's website: http://booksite.elsevier.com/9780124080805/"

"ABSTRAKAnalsis Isogeometrik adalah pengembangan dari Metode Elemen Hingga MEH . Analisis Isogeometrik, tidak menggunakan fungsi polinomial seperti dalam MEH, namun menggunakan fungsi Non-Uniform Rational B-Splines NURBS yang dipakai pada program Computer Aided Design CAD . Diharapkan, gambar model dari CAD langsung dilakukan analisis struktur tanpa perlu dimodelkan ulang dalam program Computer Aided Engineering CAE . Dalam karya tulis ini, bahasan difokuskan dalam Analisis Isogeometrik menggunakan metode Galerkin pada balok dan pelat lentur dengan deformasi geser berdasarkan pendekatan UI. Pemrograman MATLAB dibuat agar dapat melakukan tes numerik dengan jumlah polinomial dan elemen yang cukup banyak, untuk mengetahui performa dari Analisis Isogeometrik.

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ABSTRACTIsogeometric Analysis is a development of Finite Element Method FEM . It doesn 39 t use classical polynomial function like FEM but using Non Uniform Rational B Splines NURBS function that used in Computer Aided Design CAD program. In the future, after drawing model with CAD, structural analysis can be done directly, without remodelling in Computer Aided Engineering CAE program. In this paper, we focus in Isogeometric Analysis using Galerkin Method for beam and bending plate with shear deformation based on UI approach. MATLAB programming is developed, so numerical test can be done with more number of polynomial and element to know performance of Isogeometric Analysis."