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Abstrak :
[ABSTRAK
Meningkatnya interaksi manusia dengan komputer, perangkat teknologi dan jaringan, telah membawa pada kebutuhan akan adanya sistem lokalisasi multi divais pada sebuah area tertentu. Akan tetapi, saat ini belum ada sistem yang cukup tangguh, yang mampu melakukan lokalisasi divais dengan akurasi yang baik, dengan toleransi kurang dari 10 cm. Dalam konteks ini, kami meneliti sebuah teknik yang inovatif dalam usaha lokalisasi dalam ruangan yang berbasis komunikasi nirkabel, WiFi. Tantangannya adalah bagaimana cara melakukan lokalisasi divais tanpa melakukan modifikasi pada perangkat divais, baik itu perangkat keras dan lunak, juga pada perangkat jaringannya. Dan dalam rangkan menjawab tantangan itu, kami mengembangkan sistem lokalisasi dalam ruangan ini. Proyek yang saya kerjakan ini khusus melakukan capture MAC address dari setiap divais yang berada pada lingkup area tertentu. Proyek ini menggunakan LabView sebagai bahasa pemrograman, dan NI-USRP dari National Instrument sebagai perangkat kerasnya.

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ABSTRACT
The increase of human interaction to gadgets, computers and networks, has needed an ability to localize multi devices or gadgets in a certain area. But nowadays, no robust technology can estimate a position and localization with sufficient accuracy (<10cm). In this context, we wish to study the technique of indoor localization system based on innovative approach of communication media wireless (WiFi). The challenge is how to define multi devices localization without any modification in hardware, software and wireless device. To answer this challenge, we need to develop a system of internal localization. The potential impact of this solution is significant to the general public, to extent that these networks are very common. And the concern of this project is how to recovery and capture the MAC Address from devices inside the area of WiFi localization, using LabView as the programming language and NI-USRP from National Instrument as the hardware. ;The increase of human interaction to gadgets, computers and networks, has needed an ability to localize multi devices or gadgets in a certain area. But nowadays, no robust technology can estimate a position and localization with sufficient accuracy (<10cm). In this context, we wish to study the technique of indoor localization system based on innovative approach of communication media wireless (WiFi). The challenge is how to define multi devices localization without any modification in hardware, software and wireless device. To answer this challenge, we need to develop a system of internal localization. The potential impact of this solution is significant to the general public, to extent that these networks are very common. And the concern of this project is how to recovery and capture the MAC Address from devices inside the area of WiFi localization, using LabView as the programming language and NI-USRP from National Instrument as the hardware. ;The increase of human interaction to gadgets, computers and networks, has needed an ability to localize multi devices or gadgets in a certain area. But nowadays, no robust technology can estimate a position and localization with sufficient accuracy (<10cm). In this context, we wish to study the technique of indoor localization system based on innovative approach of communication media wireless (WiFi). The challenge is how to define multi devices localization without any modification in hardware, software and wireless device. To answer this challenge, we need to develop a system of internal localization. The potential impact of this solution is significant to the general public, to extent that these networks are very common. And the concern of this project is how to recovery and capture the MAC Address from devices inside the area of WiFi localization, using LabView as the programming language and NI-USRP from National Instrument as the hardware. , The increase of human interaction to gadgets, computers and networks, has needed an ability to localize multi devices or gadgets in a certain area. But nowadays, no robust technology can estimate a position and localization with sufficient accuracy (<10cm). In this context, we wish to study the technique of indoor localization system based on innovative approach of communication media wireless (WiFi). The challenge is how to define multi devices localization without any modification in hardware, software and wireless device. To answer this challenge, we need to develop a system of internal localization. The potential impact of this solution is significant to the general public, to extent that these networks are very common. And the concern of this project is how to recovery and capture the MAC Address from devices inside the area of WiFi localization, using LabView as the programming language and NI-USRP from National Instrument as the hardware. ]

Abstrak :
Sistem Telekomunikasi radar sampai saat ini terus mengalami perkembangan yang sangat cepat, hal ini dapat dilihat dari semakin banyaknya aplikasi yang diterapkan pada berbagai bidang kehidupan. Salah satu contoh sistem komunikasi radar yang paling berkembang adalah sistem radar yang memanfaatkan konsep dari micro-doppler radar. Aplikasi radar yang menggunakan konsep micro-doppler radar sudah sangat banyak dikembangkan, diantaranya untuk mendeteksi korban bencana yang tertimbun material, deteksi dengan sistem drone, pengklasifikasian manusia dan hewan, dan berbagai aplikasi lainnya. Komunikasi radar saat ini juga banyak dikembangkan untuk keperluan medis, salah satunya ialah mendeteksi laju pernafasan manusia. Hal ini sangatlah penting dilakukan karena dengan menggunakan teknik ini seorang dokter memungkinkan memonitor pasien dari jarak jauh dan pemantauan pasien secara real time dan terus-menerus. Penelitian ini mengusulkan perancangan radar yang dapat mendeteksi pernafasan manusia, dengan arsitektur quadrature radar, menggunakan modul USRP B200mini sebagia komponen utama radar dan antena Vivaldi yang bekerja pada frekuensi 5,8 GHz. Sistem radar terintegrasi langsung dengan software GNU Radio Companion sebagai pengatur parameter komponen USRP dan Matlab sebagai software untuk mengolah sinyal. Penelitian ini telah melakukan simulasi Persamaan model matematika dari pernafasan manusia yang bertujuan untuk lebih memahami proses sinyal yang terjadi pada radar. Penelitian ini juga telah melakukan pembuatan breath vibrator yang digerakan oleh actuator servo yang dapat menggerakan plat logam yang bertujuan untuk menghasilkan vibrasi yang mirip dengan pernafasan manusia. Pembuatan alat ini digunakan untuk memvalidasi sistem radar dapat bekerja dengan baik dan mendeteksi adanya pergerakan target. Sistem radar pada penelitian ini berhasil mendeteksi laju pernafasan manusia dengan jarak antara antena dan objek hingga 2 m dengan daya sinyal yang lemah yakni sekitar 0.33 mW pada frekuensi 5,8 GHz. Sistem radar juga dapat membedakan laju frekuensi yang berbeda-beda pada setiap target yang berbeda yang artinya sistem radar memiliki laju sensitivitas yang tinggi. Sistem radar yang simpel dan fleksibel ini dapat dijadikan radar portable yang dapat digunakan disegala situasi dan tempat.

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Nowadays, the radar telecommunications system continues to experience rapid development. It can be seen from the increasing number of applications that are applied to various fields of life. One example of the most developed radar communication system is a radar system that utilizes the concept of a micro-doppler radar. Radar application with micro-doppler radar concept has been very widely developed, including to detect disaster victims buried in material, detection with a drone system, classification of humans and animals, etc. Currently, radar communication being developed for medical purposes, one of which is to detect the level of human breathing. It is crucial because using this technique, a doctor allows monitoring patients remotely and monitoring patients in real-time and continuously. This study proposes radar that can detect human respiration, with the quadrature radar architecture, using the USRP B200mini module as the main component of radar and Vivaldi antennas that work at a frequency of 5.8 GHz. The radar system is integrated directly with the GNU Radio Companion software as a regulator of the USRP component and MATLAB as software for processing the signals. This research has carried out simulations of mathematical models of human breathing, which aim to understand better the signal processes that occur on the radar. This research has also made the manufacture of breath vibrators that are actuated by a servo that can move metal plates to produce vibrations that are similar to human breathing. Creating this tool is used to validate the radar system can work well and detect the movement of targets. The radar system in this study succeeded in identifying the level of human breathing with a distance between the antenna and the target up to 2 m with low power of around 0.33 mW at a frequency of 5.8 GHz. The radar system can also distinguish the different frequency rates for each different target, which means the radar system has a high level of sensitivity. This flexible and straightforward radar system can be used as a portable radar that can be used in all situations and anyplace.

Abstrak :
Open Air Interface (OAI) adalah suatu open source platform yang dirancang untuk memungkinkan kita membuat layanan jaringan seluler menggunakan peralatan yang lebih sederhana, yaitu menggunakan komputer sebagai Core Network dan menggunakan Universal Software Radio Peripheral (USRP) sebagai pemancar sinyal radio yang menggantikan fungsi dari Base Station operator seluler komersial. Solusi penghematan biaya penelitian dengan menggunakan OAI dapat lebih signifikan lagi apabila digabungkan dengan penggunaan the Platform for Open Wireless Data-driven Experimental Research (POWDER) yaitu proyek yang dijalankan oleh University of Utah yang bermitra dengan beberapa kolaborator lain. POWDER menyediakan akses kepada jaringan sumber daya komputer pribadi dan USRP sebagai alat pengujian secara gratis yang dapat kita kontrol dari jarak jauh. Pada skripsi ini, POWDER digunakan untuk melakukan instalasi dan menjalankan OAI 5G, serta menguji performa, keandalan, serta efisiensi menggunakan program penguji kualitas jaringan dan performa prosesor. Eksperimen jarak jauh dengan Sistem Open Air Interface 5G yang diimplementasikan pada platform POWDER menunjukkan hasil yang sangat optimal. Kecepatan tertinggi OAI 5G pada platform POWDER mencapai 930,86 Mbps. Kemudian performa sistem OAI 5G yang dijalankan pada platform POWDER menghasilkan efisiensi yang 49,03% lebih unggul dibandingkan dengan OAI 5G yang dijalankan pada mesin fisik. Di sisi lain, kami juga menemukan beberapa keterbatasan pada POWDER, yaitu masalah jumlah perangkat yang tersedia, antarmuka pengguna yang kurang ramah pengguna, sering terjadi pembaharuan sistem dan maintenance, dokumentasi yang kurang diperbaharui. ......Open Air Interface (OAI) is an open source platform designed to let us deploy cellular network services using simpler equipment, specifically using personal computers as a Core Network and using Universal Radio Peripheral Software (USRP) as radio signal transmitters that substitute the functions of the Base Station commercial cellular operator. Research cost-saving solutions using OAI can be even more significant when combined with the use of the Platform for Open Wireless Data-driven Experimental Research (POWDER) which is a project run by the University of Utah in partnership with some collaborators. POWDER provides access to network resources of personal computers and USRP as free testing tools that can be controlled remotely. In this work, POWDER is used to install and run OAI 5G and test the performance, reliability, and efficiency of using network quality testing and processor workloads. Our remote experiments with Open Air Interface 5G system that is implemented on the POWDER platform shows that it runs optimally. The average speed of OAI 5G on the POWDER platform reaches 930.86 Mbps. Subsequently the performance of the OAI 5G system that runs on the POWDER platform is 49.03% more efficient than the OAI 5G which runs on physical machines. On the other hand, we found that POWDER also has some limitations, i.e. the problem of the number of available devices, the user interface that is less user-friendly, frequent system updates and maintenance request, and less updated documentation.