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Permanent URI for this communityhttps://repository.polibatam.ac.id/handle/123456789/17

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    Smart Monitoring Temperatur & Kelembaban Ruang Server Berbasis Web Menggunakan Raspberry PI
    (Politeknik Negeri Batam, 2017-07-07) Rinaldi, Rio; Kushardianto, Nur Cahyono
    This Research introduces wireless sensor of wemos dht shield where can read the condition of temperature and humidity. Build a system and network that will be functionally as monitoring condition of server room temperature and humidity. System visualize the temperature and humidity data on a web based program with real time graph of highcharts. The Log data of temperature and humidity will be recorded in MySQL DBMS. Recorded log data displayed in datatables structure. The purpose of this system is to avoid a computer server from overheat were caused by high temperature in server room and also caused by a failed air conditioner. Raspberry Pi is a micro controller device were functionally as a web server and processing the data received from wireless sensor. System can provide a notification into smart phone with whatsapp application. Registered user in whatsapp application can do some command and raspberry will processing the command with youwsup service. This system can provide fast response when it happened the temperature rise to the limit of the standard server room health.
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    Monitoring Pasang-Surut Air Laut Portable Berbasis Web
    (Politeknik Negeri Batam, 2018-09-03) Manullang, Christyanto; Pamungkas, Daniel Sutopo
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    Algoritma Menghindari Lawan pada Robot Barelang 7.1
    (Politeknik Negeri Batam, 2018-06-06) Tinambunan, Devi Gusnaensi; Sugandi, Budi; Prayoga, Senanjung
    KRI 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.
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    Rancang Bangun Pendeteksi Api Berbasis Vision untuk Pengendalian Kamera Pengawas
    (Politeknik Negeri Batam, 2018-01-03) Riyadi, Dedy Slamet; Aisyah, Siti
    Fires 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.
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    Pembuatan Heating Unit untuk Trainer Kit ED-6830 dengan Metode Fuzzy Logic
    (Politeknik Negeri Batam, 2017-05-15) Yazid, Muhammad Hafiz; Kurniawan, Sumantri; Ridwan
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    Pengendalian Robot Perintah Suara Dengan Metode Fuzzy
    (Politeknik Negeri Batam, 2018-07-03) Miswanto, Septian; Sumantri, Sumantri; Fatekha, Rifqy Amalya
    The 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.
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    Tester Resistansi Mesin Rasco – 1800 Berbasis Labview
    (Politeknik Negeri Batam, 2018-01-09) Nopri Andi, Putra Ananda; Rudiawan, Eko
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    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.
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    Transformasi Sistem Koordinat Lokal dan Global Pada Robot Mecanum Wheels
    (Politeknik Negeri Batam, 2018-07-20) Sholeh, Muhammad Syaifudin; Soebhakti, Hendawan
    Mobile 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 loop
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    Deteksi Benda Berdasarkan Warna dan Dimensi pada Mesin Pemisah Barang
    (Politeknik Negeri Batam, 2018-06-04) Ramli, Dwi Ayu Imardiyanti; Sugandi, Budi
    Human 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.