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Item Monitoring Pasang-Surut Air Laut Portable Berbasis Web(Politeknik Negeri Batam, 2018-09-03) Manullang, Christyanto; Pamungkas, Daniel SutopoItem Algoritma Menghindari Lawan pada Robot Barelang 7.1(Politeknik Negeri Batam, 2018-06-06) Tinambunan, Devi Gusnaensi; Sugandi, Budi; Prayoga, SenanjungKRI is an Indonesia robot contest which consists of 4 main categories and one of them is the Indonesia Soccer Robot Contest (KRSBI). On the rules during the game of Wheeled KRSBI, the robots are strictly forbidden to hit or push the opponent robot. If that is the case then the robot will get a yellow card. The robots also are at risk of getting a red card then ejected from the field if the robot hits an opponent with a bang. To prevent this, the author has designed an algorithm to avoid and reduce the intensity of a robot doing a physical contact with opponents. The algorithm was formed from the combination of vision cameras and sensors ping. The camera will detect the opponent robot based on the color of its identity. Color identity must be filter for separating it from the background so it can be identified. The filter used is the color filter HSV plus filter erosion, dilation, and controls the blob. The opponent's robot detection is also facilitated with the use of a Parallax Ping sensor. Sensors ultrasonic wave shooting into the opponent's robot and then receive back the reflections so that known distance between them. After testing done against this system, robot Barelang 7.1 can detect opponent robots with good result. The robot can detect his opponent from a distance of 50 cm to 5.5 meters. Once detected, the robot would avoid his opponent while approximately ≤ 40 cm.Item Rancang Bangun Pendeteksi Api Berbasis Vision untuk Pengendalian Kamera Pengawas(Politeknik Negeri Batam, 2018-01-03) Riyadi, Dedy Slamet; Aisyah, SitiFires is a disaster caused by flame or uncontrolled burning that can endanger human life, buildings and ecology. Fires are unpredictable when it will happens. For examples forest fire, Fires in housing or building can occur during the day or night. The use of CCTV/webcam which can monitor the location for 24 hours is very effective to prevent the occurrence of fire. Therefore, we built a system that can detect early fire based on image processing by using the method of HSV color segmentation . The system processes the data image which captured by the webcam in real time through the LabVIEW software. The fire detection process is done by using Image enhancement method and combined with result of HSV color segmentation to produce the segment object in the form of blob so that it can know the number of detected object and the center point of the fire object. Based on the results of testing and analysis, it is concluded that user control in terms of color sampling and color tolerance of fire objects have an important role in the segmentation process. The accuracy of the system that has been made is 98% with error of 0.25% for the detection conditions at night. The system is able to detect the presence of fire in real time around 30 fps at a resolution of 1024 x 768. Error detection is mainly caused by light reflections from lights or light sources on the surface of shiny objects.Item Pengendalian Robot Perintah Suara Dengan Metode Fuzzy(Politeknik Negeri Batam, 2018-07-03) Miswanto, Septian; Sumantri, Sumantri; Fatekha, Rifqy AmalyaThe voice command robot controller with fuzzy method is a system that the function is for controlling the direction of movement of robot based on command that given. Generally, a robot use remote or PC. Because of these problem, the researchers will create a tool that is a wheeled robot that can be governed by using voice input. The voice command is processed and sent by LabView, then it will be processed by the microcontroller so that the robot moves according to the instruction that given. The working system of this robot use the degree of change with HMC5883L sensor. This robot has some set point such as forward command voice (0o), turn right command voice (90o) and turn left command voice (-90o). The results of this experiment shows that the robot can move forward, turn right and turn left at the main building of Politeknik Negeri Batam that the average success rate is 67.22% and average error is 32%, at the teaching factory of the State Polytechnic of Batam with the average success rate is 60% and average error is 39.4%. The movement error in the robot is caused due to the height that affects the earth's magnetic field.Item Tester Resistansi Mesin Rasco – 1800 Berbasis Labview(Politeknik Negeri Batam, 2018-01-09) Nopri Andi, Putra Ananda; Rudiawan, EkoItem Pengendali Lampu Otomatis dengan Metode Fuzzy Menggunakan RFID Sebagai Identifikasi(Politeknik Negeri Batam, 2018-07-04) Muis, Muhamad Dahrul; Risandriya, Sumantri K.Lamps are a source of lighting used in homes during dark room conditions. To turn on and off the lights in homes today still use manual switches and manual operation of lights cause ineffective and efficient use. Making this research aims to create a tool for turning on and off the lights with RFID with the distance between RFID Reader and RFID Tags that can be read with an acrylic cover is 1 cm and create an automatic room lights that can adjust to the intensity of light required by the room. This tool is expected to help in the process of controlling the room lights. The method used in making this room light controller is fuzzy logic produce light intensity issued by the lamp in accordance with the desire of the customer is dim, rather dim, or bright. Based on the research that has been done, obtained results where the fastest time achieved to achieve setpoint dim for 8,1 seconds, setpoint rather dim is 28,8 seconds and setpoint bright for 4 seconds.Item Transformasi Sistem Koordinat Lokal dan Global Pada Robot Mecanum Wheels(Politeknik Negeri Batam, 2018-07-20) Sholeh, Muhammad Syaifudin; Soebhakti, HendawanMobile Robot consisting of four wheels Mecanum Wheel Drive can move by translating and rotating to the desired direction by using kinematic inverse equation. But the kinematic inverse equation is one of the things that still coordinate local as a reference for its movement. Robot movement still can not be used to achieve the goal because it coordinates the robot is always dynamic or follow where the direction of the robot moves. So in this research will be used method that can access local coordinate become global coordinate robot with coordinate transformation. The expected result of this research is the movement of robot and can move in the form of visualization. From the research that has been done the robot can move in accordance with the direction of the instructed when the output motor speed that has been described kinematik inverse does not exceed the maximum speed limit of the motor used. The maximum speed of motor used is 124 rpm. The error occurs because the system is still open loopItem Deteksi Benda Berdasarkan Warna dan Dimensi pada Mesin Pemisah Barang(Politeknik Negeri Batam, 2018-06-04) Ramli, Dwi Ayu Imardiyanti; Sugandi, BudiHuman and Machine has a different visual ability, machine can make a million color on their visual, so people are among capacity vision. A machine can be aware of color and different objects at using reading, while all have to recall color and object he has seen. On the visual system machine, an optical instrument hail recording could not immediately be interpreted, definition on the identified by computer. Therefor a computer system needed processing first image. In part used is a feature color and dimension, used first is segmentation at visual. This project uses the RGB method. By the presence of problems were obtained a method of detection color and the dimensions on a machine barrier goods. By which objects of objects when detected by a camera will read color and dimensions of the object was. An object had been already determined by user for being and purpose of inspect whether an object of that is read in accordance or not with reference. By using the method color and dimension, the level of success of the color of the sorting of object and dimension accurate in which the percentage of error reached 6.17 %. Error setected due to insufficient light.Item Pengaruh Iso 14001 Terhadap Nilai Perusahaan dengan Leverage dan Profitabilitas Sebagai Variabel Moderasi(Politeknik Negeri Batam, 2018-03-09) Apriana, Dewi Arjuna; Oktaria, HannyThis study aims to examine the effect of ISO 14001 on firm value with leverage and profitability as the moderating variables. ISO 14001 is measured using the dummy variables as independent variable, long term debt to equity ratios and return on assets as the moderating variables, market value equity as dependent variable as well as earning per shares and book value per shares for the control variables. This study examines a sample is manufacturing company listed in Indonesia Stock Exchange (IDX) period 2014-2016. Sampling method using purposive sampling technique. The analysis tools used are dummy multiple regression analysis and testing of Moderated Regression Analysis (MRA). The result of this study shows that ISO 14001 has effect to the value of the firm. Profitability has a strong effect on the relationship between ISO 14001 and the value of the firm. Whereas, leverage statistically has no affect on the relationship between ISO 14001 and the value of the firm.Item Pengenalan Suara Terhadap Pergerakan Robot Beroda dengan Metode FFT(Politeknik Negeri Batam, 2018-06-04) Bayu, Krisina; Risandriya, Sumantri K.; Fatekha, Rifqi AmalyaSpeech Recognition to Mobile Robot Movement With FFT Method is a system that serves to move the robot direction based on the given sound. Usually to move a wheeled robot someone is still using the PC or remote control. With these problems researchers create a software system and hardware designed to recognize human voice commands. The voice signal will be processed on PC using FFT (Fast Fourier Transform) method in LabVIEW to find out the amplitude and frequency. Then to know the features of advanced sound, turn right and turn left using MFCC (Mel Frequency Cepstrum Coefficients) method then the result of these characteristics is converted into time domain then stored into reference template by DTW (Dynamic Time Warping) method. The experimental results show that the system can recognize forward sound, turn right, and turn left has an average success rate of 81.1% and has an average error of 18.8%. Sound recognition errors are caused because when the speech sounds forward, turn right, and turn left the environment is not always quiet.