No abstract

In this study, we use Lora-based data communication for communication between boats and database management systems for vessel. The maximum distance from the Lora is 10 km, and in order to be able to monitor fishermen along the fisherman’s coast in fishing, it is necessary to have a multi-gateway Lora to increase fishermen’s tracking coverage. The system is built using multi gateway Lora installed on the coast. Devices built with a Lora client are installed on a boat with GPS input, the technique of sending data on the device to the gateway uses a time base with a 1-minute period. To minimize data on the gateway that intersects the range of other gateways, a time flag is made to determine the data at a certain time to determine the trajectory of the boat. The result this research is system-monitoring vessel, which is successfully built and can provide fishing boats along the coast with long-range coverage. Based on experiment, multi gateway can be implemented by creating an identical ID gateway, the Lora client will broadcast to the nearest gateway. The maximum distance obtained is 1.35Km NLOS and to cover 20 Km of beach length is needed 15 gateways.

Most arm robot has an inefficient operating time because it requires operator to input destination coordinates. Besides, main problem of arm robot is object’s vulnerability when it is manipulated by the robot. This research goals is to develop an arm robot control system which has ability to automatically detect object using image processing in order to reduce operating time. It is also able to control gripping force for eliminating damage to objects caused by robot gripper. This research is implemented in LabVIEW 2011 software to control arm robot model which can represent industrial scale robot. The software is designed with informative visualization to help user learn and understand robotic control concept deeply. The system can automatically detect object position based on pattern recognition method which has four steps: pre-processing process to initialize picture taken by camera, segmentation process for separating object from the background, classification process to determine characteristics of object, and position estimation process to estimate object position in the picture. The object’s position data are then calculated by using kinematic equation to control the robot’s motion. The results show that the system is able to detect object and move the robot automatically with accuracy rate in x-axis is 95.578 % and in y-axis is 92.878 %. The system also implements modified PI control method with FSR as input to control gripping force with maximum overshoot value 10 %. Arm robot model control system developed is successfully meet the expectation. The system control can be implemented to industrial scale arm robot with several modification because of kinematic similarity between model and industrial scale robot.

Pekerjaan Rancang Bangun Bahan Ajar Sistem Proses merupakan upaya untuk membuat bahan ajar dan bahan praktikum yang mendukung proses pelatihan untuk sebuah perusahaan rafinasi gula nasional. Bahan ajar sensor ini memiliki spesifikasi yang dapat digunakan untuk berdiri sendiri tiap sensor beserta plan mekaniknya atau dapat dihubungkan dengan sensor lain. Sistem Akuisisi Data ini mengambil data yang diberikan oleh beberapa sensor untuk kemudian diolah oleh software data akuisisi Labview dan Arduino Uno yang telah dikalibrasi untuk mengetahui respon sensor terhadap lingkungan model alat uji. Penelitian ini selain digunakan untuk bahan ajar kendali proses dan akuisisi data juga merupakan aplikasi dari sistem I2C menggunakan master-slave pada suatu sistem Arduino. Dari hasil penelitian kalibrasi sensor tekanan diperoleh persamaan regresi y=3,8x-2,1 untuk tekanan berbanding waktu. Untuk sensor aliran diperoleh persamaan aliran berbanding waktu y=(60x)/7,5 dengan x adalah frekuensi. Untuk sensor ultrasonik y=191x-47 sebagai sensor level ketinggian fluida. Sedangkan komunikasi I2C memiliki waktu pemrosesan 0,25 sekon atau 4 data perdetik.

Understanding basic concepts is an important thing in electronics, especially regarding the teaching aid of power electronic components. Given the need for students to study the model of electronic schematic with feedback controller, a media that can support this is needed. One of the developments in component technology and electronic circuits that can be studied is the DC voltage conversion, namely the DC to DC buck converter. This teaching aid model uses software, namely LabVIEW and the control and data acquisition hardware, namely NI ELVIS II. DC to DC buck converter schematic that can reduce the variable output voltage with a value range of 6 - 18VDC from an input voltage of 24VDC. PI feedback controller testing in the system experiment resulted in a difference of 0.1567% error using the PI controller parameter of Kp = 3.00 and Ti = 0.01. The test results with the PI controller show the expected response and can be applied to the buck converter circuit system. Testing the interface of the buck type DC to DC converter system is considered feasible as a learning aid with an overall interface quality value of 83.8% with student responds.