Abstrak-Antena mikrostrip saat ini merupakan salah satu antenna yang sangat pesat perkembangannya dalam sistem telekomunikasi. Antena mikrostrip telah banyak digunakan karena memiliki banyak keuntungan seperti bentuknya yang ringkas, praktis dan mudah untuk mengatur polarisasinya, sehingga banyak diaplikasikan pada peralatan-peralatan telekomunikasi modern saat ini. Pada tulisan ini, dirancang sebuah antena mikrostrip patch segiempat yang bekerja pada frekuensi 2,4 GHz untuk aplikasi Wireless Fidelity (Wi-Fi). Dalam teknik pencatuannya digunakan pencatuan proximity coupled yang bertujuan untuk meningkatkan bandwidth dan menghasilkan return loss ≤ -10 dB dan VSWR ≤ 2 . Pada perancangan antena ini digunakan beberapa perangkat lunak sebagai bantuan dalam pembuatan antena, diantaranya PCAAD dan AWR Design Environment 2009. Hasil yang diperoleh dari rancang bangun antena ini adalah antena bekerja pada frekuensi 2,244 GHz -2,537 GHz dengan VSWR pada nilai 1,013 dan Gain pada nilai 5,532 dB dan Return Loss pada nilai -43,85 dB.Abstract-Microstrip antenna is one of the fastest growing antennas in telecommunication system. Microstrip antenna has been widely used because it has many advantages such as a compact, practical and easy to adjusting polarize, commonly applied to modern telecommunications equipment today. This paper aims to create a rectangular microstrip patch antenna that works at a 2.4 GHz frequency for Wireless Fidelity (Wi-Fi) applications. In the technique of feeder is used the proximity feeders to increase bandwidth and maintain a small return loss. In this antenna design is used some software as aid in making antenna, that is PCAAD and AWR Design Environment 2009. The result obtained from design of this antenna is antenna work at frequency 2,244 GHz -2,537 GHz with VSWR at value 1.013 and gain at value 5.532 dB and Return Loss at -43.85 dB.
In the field of transportation, telematics is used to obtain vehicle information using Global Positioning System (GPS) technology which is integrated with sensors so that vehicle information can be monitored. One of them is fuel monitoring. The fuel sensor has good accuracy in stationary conditions, but the tability of the data is disturbed when the vehicle is running on an uneven road and causes the tank to shake. This study discusses a fuel sensor noise reduction system using a Kalman filter to overcome the problem of data instability due to shocks. This research aims to reduce noise so that the filter results are closer to the actual result. Filtering is done by changing the process error covariance (Q) and measurement error (R) in the Kalman filter. The fuel sensor noise is simulated using a simulator tank driven by an actuator that can tilt towards the x-axis and the y-axis to resemble the behavior of a vehicle. The fuel level data from the sensor readings are sent by GPS via the cellular network to a server which is then filtered using a web application. From the test results obtained the best filter with (Q) equals 0.1^3 and (R) equals 0.1^3. The average error of the best filter results is 4.73% where this value is 1.92% smaller than the average error of sensor data before filtering, which is 6.65%. Therefore, this proves that the system can reduce noise that occurs in the fuel sensor with the Kalman filter.
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