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Abstrak :
Telah dibuat sistem pengiriman data melalui SMS yang dapat mengontrol pembelian minyak tanah. Sistem pengontrolan ini terdiri dari RFID tag, RFID reader, mikrokontroller, handphone, dan PC server. Dengan kemampuan handphone yang dapat berkomunikasi secara serial, fasilitas SMS ( Short Message Service ) dapat digunakan untuk transmisi data RFID dari mikrokontroler. Data RFID ini kemudian diterima oleh PC server melalui handphone penerima sehingga berguna untuk mengontrol pemakaian minyak tanah bersubsidi. ii

Abstrak :
Radio Frequency Identification (RFID) merupakan sebuah teknologi otomatis dibantu dengan mesin atau komputer yang mampu mengidentifikasi sebuah barang. Menggunakan salah satu modul transreceiver RFID yaitu NRF24L01 menyambungkan sebuah NRF24L01 receiver kesebuah mikrokontroller dan meneruskannya kedalam modul GPRS sehingga dapat meneruskan data dari NRF24L01 transmitter yang dibaca oleh receiver ke internet. Konsumsi daya RFID yang begitu kecil serta aplikasinya yang luas memungkinkan untuk dijelajahi lebih dalam. Skripsi ini membahas penggunaan teknologi RFID yang diaplikasikan untuk melacak sebuah transportasi masal pada lingkungan Universitas Indonesia yaitu bikun. Data jarak transmisi, konsumsi daya, serta konektivitas antar modul diambil berdasarkan hasil pengukuran langsung pada lapangan. Hasil penelitian menyarankan bahwa teknologi RFID dengan modul NRF24L01 mampu menjadi alat pelacak kendaraan secara pasif dengan konsumsi daya yang lebih kecil yaitu sebesar 28.2mW dibanding dengan alat pelacak bikun sebelumnya dengan menggunakan GPS pada smartphone dengan cara meletakkan receiver pada tiap tiang listrik yang dilalui rute bikun dan transmitter yang diletakkan pada dashboard bikun sehingga memungkinkan untuk diaplikasikan pada rute bikun UI.

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Radio Frequency Identification (RFID) is an automatic technology that assissted by a machine or computer to identify object. Using transreceiver RFID modul called NRF24L01 to connect NRF24L01 receiver by microcontoller and forward the data from NRF24L01 transmitter that read by NRF24L01 receiver to GPRS modul and connect it to the internet. With low power consumption and huge aplication on RFID is possible to be explored more. The purpose of this study is to implementing RFID to track a mass transportation vehicle in University of Indonesia called bikun. Transmission range, power consumption and connectivity intermodul data were collected by measuring the parameter directly on field. The study suggest that RFID technology using NRF24L01 modul is capable to passive tracking a vehicle with smaller energy consumption that 28.2mW compared to the latest bikun tracking using GPS on smartphone by placing receiver to every street light pole in bikun route and transmitter placed on bikun dashboard making it possible to be applied to the bikun UI route.​

Abstrak :
This book provides a comprehensive treatment of the theoretical foundation and algorithmic tools necessary in the design of efficient tag counting and monitoring algorithms in emerging RFID systems. The book delivers an in-depth analysis on the following problems ranging from theoretical modeling and analysis, to practical algorithm design and optimization: Stability analysis of the frame slotted Aloha protocol, the de facto standard in RFID tag counting and identification; Tag population estimation in dynamic RFID systems; Missing tag event detection in the presence of unexpected tags; Missing tag event detection in multi-group multi-region RFID systems. The target readers are researchers and advanced-level engineering students interested in acquiring in-depth knowledge on the topic and on RFID systems and their applications.

Abstrak :
This book is to presents and evaluates a way of modelling and optimizing nonlinear RFID Network Planning (RNP) problems using artificial intelligence techniques. It uses Artificial Neural Network models (ANN) to bind together the computational artificial intelligence algorithm with knowledge representation an efficient artificial intelligence paradigm to model and optimize RFID networks. This effort leads to proposing a novel artificial intelligence algorithm which has been named hybrid artificial intelligence optimization technique to perform optimization of RNP as a hard learning problem. This hybrid optimization technique consists of two different optimization phases. First phase is optimizing RNP by Redundant Antenna Elimination (RAE) algorithm and the second phase which completes RNP optimization process is Ring Probabilistic Logic Neural Networks (RPLNN). The hybrid paradigm is explored using a flexible manufacturing system (FMS) and the results are compared with well-known evolutionary optimization technique namely Genetic Algorithm (GA) to demonstrate the feasibility of the proposed architecture successfully.