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Deteksi Jumlah Penghuni Pada Ruangan Berpintu Untuk Smart Home Berbasis Arduino dan Sensor PIR Lintang Cahyaning Ratri; Hurriyatul Fitriyah; Wijaya Kurniawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 1 (2018): Januari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Counting people coming in and out of the desired region automatically is very important in business, management and security. This research introduces Detection system of people in the room that has doors for smart home based arduino and PIR sensors. The benefits of the system are for management and security. In this research, the purpose is focused on counting the number of people in the room that has the doors automatically, so, the owner can see the number of people in each room in his house periodically. The use of PIR sensors aims for detects human presence without disturbing the privacy of the householders. So the sensor is very suitable for home / office automation. This system uses arduino nano type and NRF24L01 type microcontroller as a wireless device. The result shows that the system has 100% accuracy in calculating people automatically by 6 times entering-exiting of the room testing. This system can overcome if the object that goes into the room is a non-human object (cat). This system can count 2 people as 2 people that can be detected from the distance between people about 3,5 meters. In data transmission test, system can send data at a distance of about 35 meters in open space (without wall barrier) and about 4 meters in room with wall barrier
Rancang Bangun Sistem Pengkalibrasi Nada Dan Pengkonversi Nada Menjadi Akor Pada Instrumen Gitar Dengan LabVIEW Raga Jiwanda; Dahnial Syauqy; Wijaya Kurniawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 1 (2018): Januari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In music, there are many various problems. One of them in the guitar instrument. If the sound quality of the strings in the guitar instrument is not calibrated properly, then the sound produced will not sound beautiful. There are 423 chords in the music. There is no practical way to understand a chord other than reading a chord book. When writing a song, naming a chord is necessary, so that when the song will be played by others musician, the musician can understand the existing chord. From these needs arise problems such as how to design a system that can calibrate the tone and detection a chord on a musical instrument. In this study, the system of calibrating the tone and detection a chord was made for the guitar instrument. System design process and user interface is done by using Labview programming. Because inputs are received in the form of acoustic signal, it is necessary to apply fast fourier transform algorithms in signal acoustic filtering. System testing is performed to determine the system's functionality in detecting tones, the time required to acquire data until the tone appears, the accuracy of the tone calibration and the chord detector. Performance generated by the system in the detection tone detection test, tone calibration test, chord detection test, the percentage of success is 100%. In the data acquisition process until the average tone appears the time required is 0.622933 seconds.
Pengembangan Sistem Haptic untuk Memegang Objek (Gripper) Dengan Komunikasi Wifi pada Mobile Robot Muhammad Eraz Zarkasih; Dahnial Syauqy; Wijaya Kurniawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 6 (2018): Juni 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Mobile robot with a gripper can help its user to take the remote objects or hold a harmful object. In this case the human perception will be very helpful because humans do not directly interact with the object, hence Haptic can be implemented to simulate the sense of touch. Because mobile robot can be operated remotely by its users then the transmission of the value from the force sensor (Force Sensitive Resistor) and controlling the robot is done wirelessly using WiFi and Android Devices. Based on the implementation, FSR (Force Sensitive Resistor) is used as a sensor to acquire pressure data obtained between the object and gripper. The system use vibration on the Android Device as an indicator of the tightness of the gripper. This system also implements a gripper termination system which automatically terminates gripper on a certain threshold value. From the test results with different objects (Banana, Tomato, Lime) for 10 experiments each for threshold value 50, 100, 150, and 200. To hold the banana, the highest system success is 60% at threshold 100. For Tomato, the highest system success is 100% at 100 and 150 thresholds. For Lime, the highest percentage of system success is 100% at 100, 150 and 200 thresholds. This difference is occurred due to the texture and density in different types of objects.
Sistem Pengelolaan Parkir dengan NFC Bayu Widyo Harimurti; Wijaya Kurniawan; Heru Nurwasito
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 6 (2018): Juni 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Parking is the process of every vehicle that stops at certain places whether expressed by signs or not, and not solely for the benefit of raising or lowering people or goods. Research this discusses how to accelerate the parking process using client server method where. Users only match the data that is embedded in the system with the user id. Connected system capable of displaying real time information that updates quickly for users of both the student and admin users. Which involves human and machine relationships to support the running of the system in order to manage well within the organization. NFC is a series of wireless technology at close range, which requires a distance less than 10 cm or less. Website there is maping the parking area and the capacity that updates in real time. With the speed of registration system (check in, check out) faster. Because the RFID reader reads the NFC Tag in seconds. While the NFC Tag is owned only 1 unit for 1 student, which is given by the Admin. NFC Tags are not easy to forge. Because each Tag has a different ID, and if it is falsified. Fake Tags can not be synchronized with the data on the server, because the fake id is indeed not listed.
Rancang Bangun Pengendali Pintu, Kipas, Dan Lampu Pada Smarthome Menggunakan Fuzzy Logic dan Data Dashboard Pierl Kritzenger Sinaga; Wijaya Kurniawan; Barlian Henryranu Prasetio
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 8 (2018): Agustus 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

House is an inseparable part of human life, the existence of a house to be a means of human activity. Human needs to get easy access to the device on Smarthome using smartphones and light control in order to improve the effectiveness and comfort of activities in the house. From these problems, in this study, house modeling and application of access to devices at home is required. The light adjustment made in the light feature is based on the intensity value using the Light Dependent Resistor and feature control via the NI Data Dashboard application on the smartphone, as well as using the DC motor as a fan and servo to move the door. As the main controller used NI MyRIO. This research uses Fuzzy logic method to determine the value of light to determine the value of light intensity issued by the lamp. Testing done with several different scenarios, system calculations compared with manual calculations, overall Fuzzy logic calculations on the lamp error percentage of 0% and 4 times sensor readout failure. While communication between systems with dashboard data has an average delay of 0.96 seconds, as well as interface display on dashboard data with a good 71% predicate.
Perancangan Smart Surveillance System Pada Smarthome Menggunakan NI MyRIO Novaria Elsari Ryzkiansyah; Wijaya Kurniawan; Barlian Henryranu Prasetio
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 8 (2018): Agustus 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Smarthome is an innovation in providing quality comfort in everyday activities. The presence of thieves and stranger into the house gives a fear to the home owner in doing activities inside or outside the home. From these problems, in this study, home modeling and implementation of security systems that can prevent the theft act is required. The process of monitoring the thief and stranger in the house is done using the camera and accelerometer sensor, and use the alarm and email to obtain information of the thief and stranger. As the main controller used NI MyRIO. This study uses template matching method to determine comparing and detect home conditions when the system is run with changing conditions. Testing is done with several different scenarios, from 5 times the testing of shooting templates having the difference of error time of 0.06%. the comparative image used on the system has an average error time difference of 0.33%. From the accelerometer sensor and buzzer experiments as much as 12 times the results obtained eleven successes and one failed. For an email server that can be used into the system is smtp.gmail.com with port 587.
Rancang Bangun Dapur Pada Smart Home Dengan Fitur Speech Recognition Menggunakan Aplikasi Labview Berbasis NI myRIO 1900 Hafizh Hamzah Wicaksono; Wijaya Kurniawan; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 8 (2018): Agustus 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Smart home technology is absolutely necessary because it can improve the quality of life of a human being. In Indonesia, the smart home technology is currently still slow if compared to neighboring countries such as Singapore, Australia, and Malaysia. In addition, many of users do not understand the procedures and cooking recipes. Based on these problems, development smart home technology especially in the kitchen is necessary. Researchers use NI myRIO 1900 as mikrokontroler, labview and microsoft visual studio as a software development program. In this research there are 5 features that is (1) Turns on and off lamp automatically using PIR(Passive Infared Reciver) sensors. (2) Turn on and off the water faucet automatically using IR(Infared Reciver) obstacle sensor. (3) Detection when there is fire in the kitchen using flame sensors. (4) Closes the refrigerator door automatically by using a Motor DC. (5) Search recipe that uses speech recognition technology. After the researchers, there are several conclusions. the first, measuring accuracy of the PIR sensor to reach 83% by movement of hands on a prototype kitchen as much as 6 times the experiment. Second, that measure the level of accuracy of the sensor IR obstacle to reach 86% by way of doing the hands on approach to tap water as much as 6 times the experiment. Third, that measures the level of accuracy of the flame sensor reaches 86% by the way put a candle flame as much as 6 times the experiment. Fourth, measuring the level of accuracy of speech recognition to reach 83% by way of pronouncing the words that have been registered as many as 15 times.
Rancang Bangun Sistem Deteksi Titik Kebakaran Dengan Metode Naive Bayes Menggunakan Sensor Suhu dan Sensor Api Berbasis Arduino Mohamad Misfaul May Dana; Wijaya Kurniawan; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Fire be a problem that could happen anywhere, in office buildings, housing or in public facilities. The process of the fire did not predictable. The current system which detection of is a fire or not , if there was a fire notice will send a message to the owner of the through smartphone. the system can't detect in which the location of fire, because know the location of fire will ease the evacuation process. Based on these problems , there must be a fire detection system might give warning spot location fire incident that human were inside the building immediately evacuation and fire sprinkler can inject water directly to the fire. The process of the determination of recipient point fire use the room temperature obtained from the results of reading sensors lm35 connected with arduino mega as mikrokontroler to be implemented with the methods naive bayes. Sensor LM35 read the value of room temperature in a recurrent manner , if there is a trigger on a system . then system warning there was a fire on a certain location. Trigger obtained from sensors flame to detect there was a fire or not, when there was a fire. sensor flame will send triger to arduino mega and value lm35 will be processed in to the methods naive bayes.Researchers used a method of bayes naive to determine the classification fire. This method chosen because it is one of a good the classification methods, the categorization of point class fire has been set since the beginning. After the research was done , there are several conclusions .First conclusion a detection system locations fire point when tested in training room air-conditioning with the data testing as many as 36 points obtained value 94% accuracy. Conclusions second, when fire detection system used in the air conditioning of 36 points testing get some 86 % accuracy. Third conclusion, the system takes time 0.48 seconds to determines any decision in which the location of the occurrence of fire incident.
Implementasi Algoritme Naive Bayes Menggunakan Arduino Uno untuk Otomatisasi Lampu Ruangan Berdasarkan Kebiasaan dari Penghuni Rumah Septian Mukti Pratama; Wijaya Kurniawan; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Lamps are the equipment that must be owned in every home because the lights has an important role in everyday life. The lamp are very helpful to the home owner to do the activities in the house by lighting up the entire room inside the house, especially as the sun began to sink. This study aims to help residents at home in controlling the lights by doing automation of lights that can learn the behavior of the residents in turning on and turning off the lights. This study uses Naive Bayes algorithm to classify the time turn on or off light based on the user's habits in turning on and off the lights. The result of the classification process will result in the time of automation the lamp. The Naive Bayes method was chosen as one of the techniques for classification, because this method requires only a small amount of training data to estimate the parameters required for classification. In addition, in this study using Arduino Uno microcontroller to apply the process of automation of lamps and RTC to adjust in Real Time. From the results of several tests performed known the percentage of accuracy on the system using Naive Bayes method with the amount of data train as much as 40 data and test data of 13 data, obtained accuracy of 84.61% for the first person and 92.30% in the second. Average processing time for 0.25 seconds from 13 test.
Implementasi Komputasi Paralel dalam Pergerakan Lengan Robot Menggunakan Inverse Kinematic Tezza Rangga Putra; Rizal Maulana; Wijaya Kurniawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The method of conventional robotic arm motion is by forward kinematic, which moves by determining the time of deviation of each joint to reach a point. Unlike the forward kinematic, inverse kinematics move by determining the angle required to perform a motion. Forward kinematics is considered as method that utilizes trial and error, this method become less effective because it takes a long time. Meanwhile, inverse kinematic offers more practical solution with more complex computing calculations. With the development of microcontroller complexity on calculation inverse kinematic can be done more quickly by using parallel computing that can take advantage of all the existing cores on the microcontroller. openMP is a C ++ program directory that describes the use of application program interfaces to perform parallel computations in multiple memory environments. openMP becomes one of the programs that can be utilized to perform parallel computing. The result is, openMP able to divide the program so that the Squential program imposes its process on core 1 (30.74%). But in the parallel program the process load fairly even distributed, although it looks more burdensome to core 2 (30,7%) and 3 (20,38%). Accuracy calculation results from both methods are same, both have same nois and error that is equal to 0.4 cm from x axis, 1.5 cm from y axis and 1.06 cm from z axis. In addition, the error also occurs at the servo angle, where the average error in 1st servo is 1o, at the 2nd servo is 1.24o, and at the 3rd servo is 4.1o. When compared to speed, the parallel method performs all tasks faster than squential by 20 seconds (36.4% of the sequential time) for 4 servos and 10 seconds (22.2% of the squared time) for 3 servos.
Co-Authors Abdul Khafid Abdul Rahman Halim Achmad Rizal Zakaria Afredy Carlo Sembiring Agi Putra Kharisma Agung Prasetyo Agung Setia Budi Ahmad Khalid Azzam Amroy Casro Lumban Gaol Anggi Diatma Styandi Aras Nizamul Aryo Anwar ari kusyanti Arif Nur Agung Laksana Arycca Septian Mulyana Ayu Samura Barlian Henryranu Prasetio Bayu Widyo Harimurti Cindy Lilian Cipto Bagus Jati Kusumo Da'imul Royan Dahnial Syauqy Deddy Aditya Kurniawan Dedy Eka Prasetya Denis Andi Setiawan Devo Harwan Pradiansyah Doni Hadiyansyah Ega Dewa Iswantoro Eka Nanda Sugianto Eko Setiawan Enno Roscitra Oktaria Farid Aziz Shafari Fariz Andri Bachtiar Fauzi Awal Ramadhan Fitriyah, Hurriyatul Galang Eiga Prambudi Ganda Wibawa Putra Gembong Edhi Setyawan Gusti Arief Gilang Hafizh Hamzah Wicaksono Hafizhuddin Zul Fahmi Hanif Yudha Prayoga Haqqi Rizqi Hendra Hendra Hernanda Agung Saputra Heru Nurwasito Indra Dwi Cahyo Intan Fatmawati Iqbal Yuan Avisena Ira Oktavianti Irfan Pratomo Putra Irfani Fadlan Istiqlal Farozi Jodie Putra Kahir Joniar Dimas Wicaksono Khurinika Cahyaning Susanty Kiki M. Rizki Lamidi Lamidi Lintang Cahyaning Ratri Lita Nur Fitriani Loki Sudiarta Mongin M Adinura Julian Habibie Mario Kitsda M Rumlawang Mesra Diana Tamsar Miftahul Huda Mochamad Hannats Hanafi Ichsan Mochammad Hannats Hanafi Ichsan Mohamad Misfaul May Dana Mohammad Lutfi Zulfikri Muhammad Adi Wijaya Muhammad Eraz Zarkasih Muhammad Faza Ramadhana Muhammad Kevin Pratama Muhammad Naufal Muhammad Rasyid Perdana Muhammad Wafi Muhammad Yusuf Hidayat Muliyahati Sutejo Muzammilatul Jamiilah Novaria Elsari Ryzkiansyah Octavian Metta Wisnu Wardhana Oggy Setiawan Pierl Kritzenger Sinaga Prayoga Febriandika Puguh Bahtiar Rafif Nurmanda Ghafurutama Raga Jiwanda Rakhmadhany Primananda Rando Rando Reza Akhmad Najikh Reza Tanjung Ahmad Fauzi Ricky Prasetya Santoso Riski Kurniawan Rizal Maulana Rizal Setya Perdana Sabriansyah Rizqika Akbar Salman Farizy Nur Samkhya Aparigraha Septian Mukti Pratama Shandi Sonna Mahardika Sigit Priyo Jatmiko Syahrul Yoga Pradana Tantri Isworo T. R. P. Tezza Rangga Putra Utaminingrum, Fitri Widhi Yahya Wifki Ato'ur Rochim Yongki Pratama