Teknologi RFId (Radio-Frequency Identification) merupakan teknologi yang diharapkan dapat menggantikan barcode optik di masa yang akan datang. Kelebihan RFId dibandingkan dengan barcode konvensional antara lain RFId dapat melakukan many-to-many communication yang dapat diartikan banyak reader dapat membaca satu tag, maupun satu reader dapat membaca banyak tag, serta menggunakan transmisi data secara wireless dibandingkan dengan barcode konvensional yang menggunakan optic. Dengan kelebihan-kelebihannya, sistem RFId menjanjikan prospek untuk berbagai kebutuhan, sa-lah satunya untuk sistem perparkiran kendaraan bermotor. Dengan adanya penggunaan RFID untuk sistem parkir, diharapkan dapat membuat sistem parkir yang ada di Unikom saat ini dapat berjalan lebih baik, aman dan nyaman
Algoritma perencanaan jalur adalah untuk menemukan lintasan yang membawa robot dari keadaan awal (start) ke keadaan tujuan (goal) sambil menghindari tabrakan dengan rintangan. Dalam perencanaan jalur, berbagai aplikasi telah digunakan seperti animasi, kedokteran, pesawat, dll. Tujuan penelitian ini adalah merancang metode sampling baru dengan cara melakukan integrasi metode sampling berbasis goal biassing, Gaussian dan Boundary lalu mengimplementasikannya pada masalah perencanaan jalur menggunakan algoritma Rapidly Exploring Random Tree* (RRT*). Metode sampling tersebut kami namakan metode sampling integrasi. Algoritma perencanaan jalur menggunakan metode sampling integrasi ini diimplementasikan pada bahasa pemograman Labview. Parameter algoritma pada Labview dapat dimodifikasi untuk mengamati performansi output dari algoritma RRT*. Pengujian dilakukan pada lingkungan obstacle clutter, SquareField BW, dan trap, dimana pengujian dilakukan 20 kali percobaan pada masing-masing obstacle. Pengujian dilakukan untuk membandingan jarak jalur serta waktu komputasi dari algoritma RRT* yang menggunakan metode sampling integrasi, terhadap algoritma RRT* yang menggunakan metode sampling Gaussian, dan Boundary. Berdasarkan hasil pengujian, diperoleh bahwa algoritma RRT* yang menggunakan metode sampling integrasi dapat menghasilkan jalur yang lebih pendek dibandingkan dengan algoritma RRT* yang menggunakan metode Gaussian maupun algoritma RRT* yang menggunakan sampling Boundary. Perbandingan waktu komputasi yang dihasilkan lebih cepat metode integrasi dibandingkan dengan Gaussian. Akan tetapi, pada perbandingan dengan Boundary menunjukkan bahwa Boundary memerlukan lebih sedikit waktu dibandingkan dengan integrasi. Maka dari itu dapat disimpulkan bahwa algortima Rapidly Exploring Random Tree* metode integrasi lebih unggul dibandingkan dengan metode Gaussian maupun metode Boundary.
The factor of driver error in driving (human error) is one of the causes of the high number of traffic accidents in the present. To anticipate this, the discipline and concentration of the driver when driving is needed. However, when drivers have discipline and sufficient concentration of accidents can still occur. Therefore, the quality of the vehicle security system also greatly affects safety when driving. With the development of science and technology today it is very possible for humans to make security systems in vehicles. Accidents are often caused by the driver being unable to react quickly when there is a sudden blocking of objects. Especially when the driver is driving at high speed. This can be overcome by automating the braking system, so that the vehicle's speed will slow down even though the driver does not step on the brake lever. So that the possibility of an accident can be avoided. And automation is expected to be implemented in vehicles widely. In this study, designed a brake automation system using fuzzy logic by making a prototype. This prototype serves as a visual aid to evaluate the workings of the membership functions that will be used. From this evaluation it is known the value of each membership function. These values are used as the main parameters in determining the Rules that will affect the output value of the brake force. With these Rules, automation of the brake system can work optimally. And it is known that the distance of the prototype car can run between other obstacle with a width of 50cm and the braking of the prototype car stops completely when the prototype is ± 5-10 cm with the obstacle in front of it. Keywords: Automation of Brake Systems, Fuzzy Logic, Distance, Speed.
This study sought to measures the foreign language classroom anxiety of the English Department students of a university in Indonesia and to compare the anxiety across independent demographic variables of gender and length of study at the department. The literature shows that foreign language learning anxiety affects one’s achievements in learning a foreign language. Data were collected through administration of the adapted version of Foreign Language Classroom Anxiety Scale to 96 students selected through stratified random sampling technique. The anxiety was assessed through Rasch analysis while analyses for significant difference in the anxiety across the two independent variables were conducted using tests of inferential statistics. The findings show the existence significant number of students who tend to be highly anxious in learning English. The findings also indicate a significant difference in the students’ anxiety across the independent variable of semester where semester 4 students tend to be more anxious than those of other semesters. No significant difference in the students’ anxiety was found across the independent variable of gender. The implications of these findings were then discussed.
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