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All Journal International Journal of Electrical and Computer Engineering IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Lontar Komputer: Jurnal Ilmiah Teknologi Informasi Jurnal INKOM TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnal technoscientia Jurnal Mahasiswa TEUB Jurnal Teknologi Informasi dan Ilmu Komputer Register: Jurnal Ilmiah Teknologi Sistem Informasi Jurnal Teknologi dan Sistem Komputer JOIV : International Journal on Informatics Visualization Journal of Information Technology and Computer Science Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control IJID (International Journal on Informatics for Development) Indonesian Journal of Electrical Engineering and Computer Science JURNAL TEKNOLOGI TECHNOSCIENTIA Jurnal Teknik Informatika (JUTIF) Mechanical Engineering for Society and Industry
Utaminingrum, Fitri
Fakultas Ilmu Komputer, Universitas Brawijaya
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Transportation

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Penentuan Jumlah Karakter pada Plat Nomor Kendaraan dengan menggunakan Selective Ratio Bounding Box Juniman Arief; Fitri Utaminingrum; Yuita Arum Sari
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

The system of determining the number of characters on the vehicle number plate is one of the applications required in modern times today. The first step taken is image capture using the camera, then perform image processing and segmentation on the vehicle license plate image. Then do the determination of the number of characters on the vehicle number plate by using bounding box and selective ratio bounding box. Before the process of detection or the introduction of vehicle license plate required the validity to determine the number of characters on the license plate of the vehicle in order to know the number of characters on the license plate of the vehicle so as not to be wrong in recognizing the character on the license plate of the vehicle. It is expected that the application is able to determine the number of characters on the license plate of the vehicle. Application has been tested on 15 samples of data plate number of vehicles with standard specifications of the Police of the Republic of Indonesia. Tests of 15 data samples were performed 5 times using several variations of the ratio values ​​of the threshold. From the results of the overall testing that has been done, the average level of accuracy in the use of bounding box is 54% in the whole test. In the use of selective ratio bounding box, the highest average accuracy level in the second test was 92% and the lowest accuracy level in the 4th test was 68%. While on the other test obtained the same average accuracy that is equal to 88%.
Pengembangan Sistem Deteksi Gerakan Kepala Sebagai Kontrol Pergerakan Kursi Roda Berbasis Embedded System Virza Audy Ervanda; Dahnial Syauqy; Fitri Utaminingrum
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

Wheelchair was initially very helpful for users with leg defects, But there are problems for users who have more flaws to move their hands so some users are still difficult to use the wheelchair. Based on these problems, Researchers used head movement as an embedded system-based controller as wheelchair control. System will use an MPU6050 sensor which will be placed on the user's forehead and 2 pieces of NodeMCU where 1 NodeMCU on the controller is used as client and 1 NodeMCU in the wheelchair as server. Based on the implementation, by using the complementary the problem of reading angle values caused by noise can be solved so that the output becomes more stable and accurate. From the tests that have been done on 5 subjects, it is known that the initial determination of sensor readings is not 0° but has a range of X-axis angle values ​​of -11.61° to -20.70° with an average of -14.86°. Based on the head movement performed on the test, the average value on the X-axis is 30.24° when it is downward and -40.46 ° when upward. As for the Y-axis obtained and average value of -27.97° when tilt to the left and 26.83° when tilt to right. For data transmission, the system has 100% success rate with average response time about 52 ms.
Deteksi Objek Penghalang Secara Real-Time Berbasis Mobile Bagi Penyandang Tunanetra Menggunakan Analisis Blob Achmad Jafar Al Kadafi; Fitri Utaminingrum
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

Blind is a condition when the visual sense experiencing interference or obstacles, so requiring an aids like stick to walking. But, the using of stick does not help them much in walk especially to detect obstacles. In Computer Vision science so possible for people with the visual impairment can do an activity like normal people in general. In computer vision science is so possible for people with visual impairment can do walking activities like a normal people in general. Therefore, this research built a system based computer vision that is applied to a mobile device to detect obstacles on real-time when the visual impairment person walks indoors. Mobile devices will be conditioned at a height of 1 meter above the floor and angle between 52 o to 62 o to get a distance of about 2 meters in front of the user. In general, the obstruction detection process built by applying the Connected Component Labeling method to get a blob from the image. To support the detection process, segmentation process is done using threshold method by utilizing RGB normalization color model based on the dominant bright of floor color. The threshold value used is based on the minimum and maximum values ​​of each component of RGB normalization. Test results shows that the system is able to detect obstacles with an accuracy of 81.25%.
Pengenalan Plat Nomor Mobil Menggunakan Metode Learning Vector Quantization Beryl Labique Ahmadie; Agus Wahyu Widodo; Fitri Utaminingrum
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 3 (2018): Maret 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The amount of vehicles in Indonesia increases every year, this causing long queues at gates, mall, or tolls that require the process of recording license plates. This research will help simplify the process of recording license plate by creating a vehicle license plate recognition system. The system will try to recognize the license plate from a digital image. The first step in the license plate recognition system is to detect the location of the license plate by applying vertical edge detection because the area of license plate contains rich edge and texture information. The next step is character segmentation, this is a process to get characters from license plate image. this can be done by applying connected component algorithm. The last step is character recognition using learning vector quantization algorithm. Based on the result of this research, the highest accuracy is 94% in the license plate detection process, the highest f-measure value is 0,88 in the character segmentation process and the highest accuracy for character recognition using Learning Vector Quantization algorithm is 86,67%.
Intellegence Vehicle Counting Menggunakan Metode Combination Value Saturation Pada Video Lalu Lintas Guruh Adi Purnomo; Imam Cholissodin; Fitri Utaminingrum
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

Transportation needs have become almost the needs of every activity undertaken by humans, and it greatly affects the number of vehicle growth in Indonesia according to data Traffic Corps of the State Police of the Republic of Indonesia noted, the number of vehicles that operate increases every year, causing congestion and the need for a solution to Overcome it. One solution to overcome the congestion by diverting the flow of vehicles to other lanes, and to overcome this is required to calculate the vehicle so that no congestion occurs again. Because at this time the calculation of the car is still done manually, then required a system that can calculate the vehicle automatically as "intellegence vehicle counting menggungakan combination value method saturation on video traffic". Based on the test, this system has an average vehicle accuracy of 65.38%.
Deteksi Zebra Cross Pada Citra Digital Dengan Menggunakan Metode Hough Transform Fitria Indriani; Fitri Utaminingrum; Yuita Arum Sari
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

The high number of accidents that injure pedestrians while crossing is caused by motorists who are less cautious. Accidents of course undesirable can be prevented and minimized the culture of orderly traffic one by using facilities such as zebra cross. In this research, we propose the process of zebra cross detection on digital image using Hough Transform method, in order to be implemented in smart vehicle navigation system in identifying zebra cross in order to increase equality of both riders and zebra cross users. The zebra cross detection process starts from pre-processing, which consists of grayscaling process, mean filtering, dilation, and histogram equalization, for our edge detection using the next stage canny method is the image inversion which aims to change the pixels of white to black, and vice versa. Then for line detection on zebra cross using hough transform method. Based on the test, the highest accuracy value when the 100 threshold value on the first morning condition test data is 95.2%. The result of testing the variation of the structure element obtained the maximum results with the use of rectangle has the highest accuracy value of 95.2% compared with the use of other structure element form. In the result of testing edge detection sobel has the highest accuracy value of 92.8%.
Sistem Monitoring RPM Roda Smart Wheelchair Pada Halaman Web Berbasis Ajax Menggunakan Sensor Optocoupler Afdy Clinton; Dahnial Syauqy; Fitri Utaminingrum
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 difference in the speed of an electric motor can produce an unsuitable output. The use of two electric motors with different speeds to move the wheels of a smart wheelchair or a robot car causes the device to move in the direction that is not intended. Based on these problems, it needs a wireless RPM monitoring system in order to know the speed difference between the two motors or both wheels with ease. This study focuses on knowing the RPM of both wheels smart wheelchair by using incremental encoder. 2 Optocoupler Sensors and 2 encoder disks with 20holes is implemented in the smart wheelchair to know the RPM value of each wheel. The Optocoupler sensor is used to detect how many holes are detected in 1sec, so the RPM of the motor or wheel can be known. Based 50 tests ​​of the Optocoupler Sensor on the right side of the prototype obtained an average percent error of 0.92% and the left side obtained 0.87%. Based on 10 tests of Sensor Optocoupler on the right side on smart wheelchair obtained an average percent error of 2.00% and left side obtained 2.06%. The connection status of NodeMCU WiFi when connected to a laptop at a distance of 10-50meter is connected and the connection status at a distance of 60-70meter is disconnected.
Implementasi Metode Triangle Geometry Untuk Pengenalan Arah Pergerakan Kepala Irnayanti Dwi Kusuma; Fitri Utaminingrum; Randy Cahya Wihandika
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 11 (2018): November 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Nowadays, applications that detect head or face are popularly used as device securing, virtual and augmented reality, computer games, and device control. However, people with physical disabilities have constraints to control the system, on the other hand there are also constraints on normal users who use headpieces to control the system that is the cost allocation for headpiece purchases. Identification of head direction movement using Triangle Geometry Method could be implemented into a system that utilizes input as a control. Utilization of inputs as controls can make easier for people with disabilities to use a system and use it interactively. In addition, this topic can help reduce the cost of system requirements and does not complicate the user, such as using a special device that put on the user's head to control a system. Skin color detection, eyes, and nose are phases that used on this topic to build a system of face detection and head direction movement. This research focuses on the success of systems that can recognize the direction of head movement with the state of the head in real-time. The direction of the head is up, down, right and left. The system processes the value of yaw, pitch, roll with triangle geometry method so it can get a range values ​​for each direction of head movement. The accuracy value of each direction is 88% for the upward direction, 82.6% for the downward direction, 84.6% for the right direction and 73.5% for the left direction. So, this system can be implemented as control input.
Sistem Deteksi dan Pengenalan Jenis Rambu Lalu Lintas Menggunakan Metode Shape Detection Pada Raspberry Pi Olivia Rumiris Sitanggang; Hurriyatul Fitriyah; Fitri Utaminingrum
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The traffic sign recognition is the digital image processing technology that used to recognize the sign in real-time. This technology applied in the Driver Assistance System. The road sign recognition consist of 2 main phase, they are road detection and recognition. Detection is the phase to find the possibility of picture area where the sign is located. The output from the detection process is the result picture segmentation that contain region of interest that can recognize the potential area of where the road sign being located. Those potential area will be affected the input of recognition process. So built a system of detection and recognition of the type of signs. This system is implemented on raspberry pi and real-time when processing the image of road sign from webcacm. The detection of algorithm consist into three main part, they are color segmentation, shape detection, and road classification. The method that being applied in this research is shape recognition method. This method is supported by the amount of point from the object as a representation of the amount of side from every shape and the comparison of object area with the bounding rectangle. And the output of this system is a kind of the sign notification for drivers. It is expected with this method the detection process to find the accurate regional sign recognition. The level of success in detecting kind of command signs, prohibition, and warning sign are 80.7%, the result of color examination from the three signs reach the number of 85.45%, and the result of presentation in recognizing the shape of sign is 80.7%. the duration of detecting of traffic signals is 0.5 seconds (for each frame) or 2 frames per second with detection distance 2-5 meters.
Implementasi Sistem Otomatisasi Pintu Dengan Face Recognition Menggunakan Metode Haar-Cascade Dan Local Binary Pattern Pada Raspberry Pi Willy Andika Putra; Rizal Maulana; Fitri Utaminingrum
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Technological developments in the world are starting towards the IOT (Inthernet Of Things) era. Smarthome is one of IOT Technology whose the impact is felt by many people. Smarthome is an embedded dwelling of many integrated technologies and make almost aspects in the home run automatically. One aspect that needs to be considered in the smarthome is the security aspect, all the smarthome integrated residence should has a very adequate security system. The security system owned by smarthome is mostly implemented on the door, for example implanting a sensor on the door to keep the door locked automatically. However, there will be many obstacles when using sensor technology, one of them is most sensors can not identify someone who is near the door. From the problem will be made an open door automation system on smarthome that can identify someone. The identification technology that will be used in the system is Face Recognition using Haar-Cascade method which will be implemented on single-board circuit that is Raspberry Pi. The system will store the identity of the Smarthome inhabitants in a dataset and will open the door if the data matches with the previously created dataset. Face Recognition will use Library Open CV that is Haarcascade_Frontal_Face and cv2.createLBPHFaceRecognizer . The level of detection accuracy using haarcascade classifier method is 76.25% while for the level of accuracy of introduction used local binary pattern is equal to 65%. To Connect face recognition with open door closing system, the author uses 3 pieces of DC motor. Two DC motors as Door Wheels and 1 DC motor as a key. All process will be done by Self Process on Raspberry.
Co-Authors Abadi, Dendy Satria Abiyyu Herwanto Achmad Dinda Basofi Sudirman Achmad Jafar Al Kadafi Adam Ibrahim, Muhammad Adharul Muttaqin Adinugroho, Sigit Aditia Reza Nugraha Afdy Clinton Afrizal Rivaldi, Afrizal Agung Setia Budi Agung Setia Budi Agung Setia Budi, Agung Setia Agus Wahyu Widodo Ahmad Wali Satria Bahari Johan Ahmad Wildan Farras Mumtaz Ainandafiq Muhammad Alqadri Akbar Dicky Purwanto Akbar Wira Bramantya Akbar, Muhammad Danar Al Amin, Nisrina Fairuz Hafizhah Al Huda, Fais Alfan Rafi'uddin Ardhani Alfianto Palebangan Alhamdi, Achmad Fahri Aliffandi Purnama Putra Alrynto Alrynto Alvin Evaldo Darmawan Amalia Septi Mulyani Amaliah, Ichlasuning Diah Andika Bayhaki Al Rasyid Syah Andika Kalvin Simarmata Andrika Wahyu Wicaksono Anugrah Zeputra Arthur Ahmad Fauzi Asep Ranta Munajat Asfar Triyadi Audrey Athallah Asyam Fauzan Aufa Nizar Faiz Auliya Firdaus Awalina, Aisyah Bagas Nur Rahman Bagus Septian Aditya Wijayanto Barlian Henryranu Prasetio Beryl Labique Ahmadie Blessius Sheldo Putra Laksono Budi Atmoko Burhan, M.Shochibul Cahyo, Muhammad Pandu Dwi Candra, Alvin Choirul Huda Constantius Leonardo Pratama Dahnial Syauqy Danudoro, Kevin Daris Muhammad Yafi Desy Marinda Oktavia Sitinjak Dewi Amalia Dharmatirta, Brian Aditya Dimas Rizqi Firmansyah Dony Satrio Wibowo Duwi Purnama Sidik Dzakwan Daffa Ramdhana Eko Sakti Pramukantoro, Eko Sakti Eko Setiawan Eko Setiawan Enny Trisnawati, Enny Ervin Yohannes Ester Nadya Fiorentina Lumban Gaol Faris Chandra Febrianto Farrassy, Muhtady Fatwa Ramdani, Fatwa Fernando, Leo Luis Figo Ramadhan Hendri Fikri, Aqil Dzakwanul Fitra Abdurrachman Bachtiar Fitrahadi Surya Dharma Fitria Indriani Fitriyah, Hurriyatul Fitriyani, Rahma Nur Gabe Siringoringo Gagana Ghifary Ilham Gembong Edhi Setyawan Guruh Adi Purnomo Haikal, M. Fikri Hassadiqin, Hasbi Hendry Y. Nanlohy Herman Tolle Hernanda Agung Saputra Hilman Syihan Ghifari Hilmy Bahy Hakim Hisdianton, Oktavian Huda Ahmad Hidayatullah Hurmuzi, Abdan Idza Hurriyatul Fitriyah Ichsan Ali Rachimi Ida Yusnilawati Ikhsan Rahmad Ilham Imam Cholissodin Imam Faris Intan Fatmawati Irnayanti Dwi Kusuma Irsal, Riyandi Banovbi Putera Issa Arwani Jawahir, Asma Kamilah Nur Joan Chandra Kustijono Juniman Arief Kabisat, Aldiansyah Satrio Kelvin Himawan Eka Maulana Kezia Amelia Putri Kirana Sekar Ayu Kohichi Ogata, Kohichi Krisna Pinasthika Lailil Muflikhah Laksono Trisnantoro Laksono, Blessius Sheldo Putra Larasati, Anindya Zulva Leina Alimi Zain Lilo Nofrizal Akbar Linda Silvya Putri Lita Nur Fitriani LUTHFATUN NISA M. Ali Fauzi M. Fiqhi Hidayatulah M.Shochibul Burhan Marianingsih, susi Marsha Nur Shafira Masyita Lionirahmada Maulana Yusuf Meidiana Adinda Prasanty Mela Tri Audina Misran Misran Mochammad Bustanul Ilmi Mochammad Hannats Hanafi Ichsan Mohammad Andy Purwanto Mohammad Isya Alfian Mohammad Sezar Nusti Ilhami Muchlas Muchlas Mufita, Aulia Riza Muhadzdzib, Naufal Muhamad Fauzan Alfiandi Muhammad Amin Nurdin Muhammad Arga Farrel Arkaan Muhammad Fadhel Haidar Muhammad Hafid Khoirul Muhammad Ibrahim Kumail Muhammad Nazrenda Ramadhan Muhammad Rafi Zaman Muhammad Raihan Wardana Budiarto Muhammad Rizky Rais Muhammad Tri Buwana Zulfikar Ardi Muhammad Wafi Muzammilatul Jamiilah Nico Dian Nugraha Niko Aji Nugroho Noza Trisnasari Alqoria Nugraheny Wahyu Try Nyoman Kresna Aditya Wiraatmaja Olivia Rumiris Sitanggang Onky Soerya Nugroho Utomo Paulus Ojak Parasian Permana, Frihandhika Pratama, Aimar Abimayu Pratama, Wildan Bagus Priyanpadma, Sulthon Purboningrum, Fadhila Putera, Muhammad Reza Dahri Putra Pandu Adikara Putra, Firnanda Al Islama Achyunda Putra, Reza Qonita Luthfiyani Qurrotul A'yun Rachmad Jibril Al Kautsar Rahma Tiara Puteri Rahmatul Bijak Nur Kholis Rahmawati, Athirah Naura Rakhmadina Noviyanti, Rakhmadina Ramadhani, Roihaan Randy Cahya Wihandika Randy Cahya Wihandika Rekyan Regasari Mardi Putri, Rekyan Regasari Mardi Renaldi Primaswara Praetya Renita Leluxy Sofiana Rhaka Gemilang Sentosa Ringga Aulia Primahayu Riyandi Banovbi Putera Irsal Rizal Maulana Rizal Maulana, Rizal Rizdania, Rizdania Rizka Husnun Zakiyyah Rizky Haris Risaldi Rizky Teguh Nursetyawan Rizky Yuztiawan, Fachrie Robbani, Ihwanudien Hasan Rochmawanti, Ovy Samuel Andika Sasongko, Listyawan Dwi Shaleh, Achmad Rizqi Ilham Shih, Timothy K. Sigit Adinugroho Simangunsong, Bryan Nicholas Josephin Hotlando Siswanti Slamet Arifmawan Sri Mayena Surga, Itsar Irsyada Syahrul Yoga Pradana Syaifuddin, Tio Tiara Sri Mulati Tibyani Tibyani Tibyani Tobias Sion Julian Tsani, Farid Nafis Versa Christian Wijaya Vikorian, Eldad Virza Audy Ervanda Wahyu Adi Prijono Wayan Firdaus Mahmudy Widasari, Edita Rosana Wijaya Kurniawan Wijaya, Waskitha William Hutamaputra Willy Andika Putra Wisik Dewa Maulana Yazid Basthomi Yoke Kusuma Arbawa Yongki Pratama Yuita Arum Sari Yuita Arum Sari Yuita Arum Sari Zamaliq Zamaliq Zhuliand Rachman Zulfina Kharisma Frimananda