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All Journal International Journal of Electrical and Computer Engineering IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Journal of ICT Research and Applications Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Jurnal Sistem Komputer & Kecerdasan Buatan Jurnal Abdi Masyarakat Indonesia
Fitriyah, Hurriyatul
Universitas Brawijaya
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Public Health

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Alat Pemadam Api Terarah Dalam Ruangan Berdasarkan Warna HSV Berbasis Raspberry Pi Wahyu Hari Suwito; Hurriyatul Fitriyah; Gembong Edhi Setyawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 3 (2019): Maret 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

A fire disaster is a catastrophic event that causes a fire, which can cause harm both from property, and casualties. Therefore, a system is needed to minimize the occurrence of fires in the house, in this study will provide a more effective solution in detecting and extinguishing fires to prevent fires. By utilizing image processing on the camera, then pump dc water as a water sprayer. The system uses the Raspberry Pi computer as a data processing center, Logitech c170 camera as the input data provider that processes the image, then there is a Servo mg995 as a water hose guide, and a DC 5v Mini Water Pump as a water pump. Taking Logitech c170 camera images will later be converted into HSV Color Space, selecting Upper & Lower HSV levels. Then mark the fire with a red dot and give a circle using MinEnclosingCircle. Then the system classifies hotspots in several categories of fire position positions. Next the system will send data on the Servo mg995 which will move towards the location of the hotspot, turning on the DC 5v Mini Water Pump as a water sprayer. The level of accuracy of the system in recognizing fire points is 88.9%. While testing in determining the location of fire was 92.3%. And the last is a complete fire extinguishing test of 100%.
Sistem Pendeteksi Kecelakaan Pada Sepeda Motor Berdasarkan Kemiringan Menggunakan Sensor Gyroscope Berbasis Arduino Aries Suprayogi; Hurriyatul Fitriyah; Tibyani Tibyani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 3 (2019): Maret 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Motorbikes are transportation that are generally in great demand by citizens of developed countries, especially Indonesia. With the increasing population and enthusiasts of motorbikes, the number of accidents in traffic will increase every year. The lack of handling of motorcycle accident sufferers at the time of the incident resulted in a high mortality rate. By knowing the slope of the motorcycle can be stated as an accident. Namely the slope of 10 ° - 50 ° for the left and the slope of 130 ° - 170 ° for the right. Therefore an accident detection system was built on a motorcycle based on the slope using a sensor gyroscope which was used to read the slope of the motorcycle, then sent a notification in the form of an SMS to the victim's family's cellphone via the GSM SIM900A Module. The MPU6050 sensor which is the reader of the slope value on the system installed on the motorbike will be processed on the Arduino Uno microcontroller. If the slope reading is stated as an accident, the GSM SIM900A Module will send a notification in the form of a help message to the relatives or families of the victims with the number that already exists on the GSM SIM900A module. By doing the slope alternately between left and right is selected with the roll value in the MPU6050 Sensor ranging ± -80.00- ± 50.00 expressed with an angle of 10 ° -50 ° and the slope value ± -20.00- ± 74.00 then expressed at an angle of 130 ° ¬ -170 ° the angles are expressed as the angle of the accident on the system and the boundary conditions are 60 ° -120 ° where the roll value is ± -21.00 - ± 1.00 which is declared as a normal system or does not send messages. The system will read the slope if it does not meet the boundary conditions of the roll angle, the system will immediately send a notification in the form of a message of assistance to relatives or victims' families with 80% accuracy if not constrained by the network / signal on the GSM SIM900A Module.
Sistem Pemantauan Menggunakan Blynk dan Pengendalian Penyiraman Tanaman Jamur Dengan Metode Logika Fuzzy Handi Handi; Hurriyatul Fitriyah; Gembong Edhi Setyawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Monitoring and watering have an important role in managing mushroom plants. However, the measurement used is the use of a thermometer as a manual and watering device. Through these fundamentals, it is conducting monitoring and automation of the fungal watering system with fuzzy logic method. The first process is to get information from the DHT11 sensor to send sensor data to the microcontroller for the process of output and humidity, the results of the data can be seen on the LCD screen. Blynk application is done as a remote monitoring. Fuzzy logic method was chosen to category the problem of input data to output data in conducting clean watering. From the sensor test the results obtained compared to the DHT11 reading sensor had an average error of 4.07%. In the process of watering the control system carried out as many as 10 times with a percentage error of 16.66%. Comparison of test duration has a difference of 45 seconds and the difference in water released by 500 ml. Although there are many more manual resections and long durations, the accuracy of the sensors and controllers with fuzzy logic method is more in line with the conditions needed in the mushroom place.
Sistem Peringatan Kondisi Jalan Berdasarkan Kecepatan dan Guncangan Sepeda Motor Menggunakan Naive Bayes Berbasis Embedded System Herwin Yurianda; Dahnial Syauqy; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In developing countries especially Indonesia traffic accidents can result in serious health problems.. Indonesia is a country which ranks fifth in the world in terms of traffic accidents, the data obtained at World Health Organization (WHO). Some of the factors that caused the accident was the road condition, vehicle and rider. However, the riders are often the vehicle outside the limit speed of the spur and the streets are less good is the most dominant factor is the cause of the accident. Based on the issue, it needs to be made to road condition warning system security drive vehicle motorcycle Embedde based System using Naive Bayes method. The sensor used in these systems is the hall effect sensor as the speedometer, and vibration sensors that serve to measure the level of shock two-wheeled vehicle. Will then be classified using Naive Bayes method, with a warning sound output with the use of the buzzer, and the screen display uses LCD, all processed system on an Arduino. Testing conducted include functional testing, system performance and accuracy. From functional testing that has been done, the system has a value of 100% truth, so it can be concluded that this test successfully. For performance testing, the system has a speed of processing time on average by 789.441 p. Whereas on testing Accuracy, the system was tested with test data as much as 43 data and the amount of training data by as much as 86 data and to have the accuracy of 97.76%.
Implementasi Decision Tree pada Penentuan Kondisi Ruang Berasap Menggunakan Multi-Sensor Berbasis Arduino Uno Mimi Hamidah; Hurriyatul Fitriyah; Issa Arwani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In this day and age many facilities are designed automatically to help human activities in regulating the level of comfort and safety in the room, one of the technologies that has been widely used, namely fire alarms that are used to provide automatic warnings about fires that occur. However, due to several reasons and certain factors, often the fire alarm does not work properly and actually sends a false alarm. In this study there are 3 sensors, namely MQ-2 sensor, DHT22 sensor, and flame sensor that is connected to the Arduino Uno microcontroller. Arduino Uno microcontroller implements the decision tree method as the output decision maker based on the calculation of C4.5. There are 3 processes, namely the process of determining datasets, decision tree formation and rule formation. In this system, there are 3 attributes that are used to detect the status of smoky space conditions, namely temperature, fire intensity and smoke content. From the results of several tests conducted, it is known that the error percentage reading of the DHT22 temperature sensor is 1.58% and the MQ22 gas sensor can read the gas content in the room well, where the sensor reading value is directly proportional to the output voltage which is the higher the smoke level detected the higher the value of the sensor output voltage. From the results of testing the fire sensor YG1006 can perform ADC readings detected by the sensor against the fire source based on the distance of the sensor with the fire source. Furthermore, in testing the system using the Decision Tree method with the amount of training data as many as 800 data and test data as many as 40 data, obtained an accuracy of 97%. The average system execution time is ± 1389.9 ms
Perancangan Bot Pada Discord Untuk Pengendali Aktuator di Raspberry Pi Tatit Kisyaprakasa; Rizal Maulana; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Internet of things (IoT) is a relationship between machines, one of the well-known IoT is bot. In this research, a bot is designed that can be used with Raspberry Pi. Discord application is used and user can give a number of commands to the chat column so that the bot can run. In its implementation, 3 actuators used on bot and has performed all technical functions and every case thats can be done properly and successfully. In time measurement test using Stepper Motor 28BYJ-48, resulted average tambah command execution time is 334,14ms, the gerak command is 0,35ms and the hapus command is 1,04ms. When migrating using the Servo SG-90, it has an average tambah command execution time of 385,55ms, 0,33ms of gerak command, and 1,28ms in hapus command. In testing time using DC Motor the average execution time of the tambah command is 344,49ms, the gerak command is 0,33ms, and the hapus command is 1,22ms. The results of the average movement percentage error using the Stepper Motor 28BYJ-48 are 0,154%, the SG-90 Servo movement has a percentage of 0,991%, and the DC Motor rotation has a percentage of 28,02%.
Sistem Pengukuran Tinggi dan Berat Badan Berdasarkan Perhitungan Body Surface Area (BSA) Menggunakan Boundingbox Berbasis Raspberry Pi Mohammad Isya Alfian; Hurriyatul Fitriyah; Fitri Utaminingrum
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 6 (2019): Juni 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

BSA (Body Surface Area) is used as a way to get information on a person's body condition. Paramedics use these calculations in patient data collection and require a long time. In previous studies using image processing techniques to speed up data retrieval. Data retrieval is carried out front and side view then processed using pixels by cropping the image. From these studies, researchers have the idea of using a mini pc to further speed up data retrieval and be efficient. BSA calculations are included in the mini pc Raspberry Pi and assisted by webcam cameras as image takers. This tool is useful to help paramedics to collect data on body weight and height, faster and more efficiently. The object of the research that was sampled was 20 people, male and female, consisting of children and adults. Data collection was carried out 22 times each in children and adults. The data obtained is calculated by the Bounding Box accuracy value. The results of height accuracy in boys were 91.4%, girls were 87.8%, male adults were 98.34%, and female adults were 98.2%. While the results of accuracy for weight are based on the k value of each object. The k value for boys is 1.34 with an accuracy of 75.32%, girls 1.34 with an accuracy of 79.76%, male adults 1.26 with an accuracy of 95.6%, and adult women 1 , 22 with an accuracy of 92.38%.
Sistem Deteksi Marka Membujur Garis Utuh dan Putus Menggunakan Metode Thresholding dan Hough Transform Berbasis Raspbery Pi Putra Wijaya; Hurriyatul Fitriyah; Gembong Edhi Setyawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 6 (2019): Juni 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Road lines with longitudinal line types are road lines that we often encounter on highways, all highways always have this type of marker. Although this marker has the function of dividing the road into two directions and helping motorists drive in place, in fact there are still many traffic accidents caused by not concentrating and are not aware that the driver is in the wrong position. On this basis as an effort to improve driving safety in combination with current computer technology, this study was made a tool that can detect the type of longitudinal road lines with the addition of features to measure the position of the vehicle with markers and provide a warning to driving if the position is in a position danger or violating line markings. Enter from the system in the form of video obtained from the use of a camera mounted on the body of a motorcycle that is parallel to the front wheels of the vehicle. The method used to recognize objects uses a Thereshold blend with Hough Transform so that an image will be produced where longitudinal line can be detected and can be calculated in length with the help of Raspberry Pi 3, then the results of the process will be displayed on the LED lights and sounds from buzzer as output media. From the results of functional testing the tool can detect markers objects and can provide information to users about the distance of vehicles with line markers, as well as sound signals if the driver is in a dangerous condition. In accuracy testing obtained an accuracy of 85% of the video sample with four distance conditions and two type longitudinal road lines conditions. From testing computation time starting from object recognition to processing data takes an average of 1,265 seconds.
Sistem Tracking Objek Menggunakan Metode Edge Detection pada Quadcopter Dimas Bagus Jatmiko; Gembong Edhi Setyawan; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 8 (2019): Agustus 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Tracking objects are usually used to determine the position of objects and environmental conditions around the object. Objects that require supervision to be able to run properly require a system to monitor the object. Quadcopter is a type of UAV (Unmanned Aerial Vehicle) that can do several movements (pitch, yaw, roll and gaz). With a camera on a quadcopter, every movement of the object will be known directly through the camera image. So that in this study a system was created to detect and track objects. Applying an image processing system based on image processing using the shape detection method. Then displays the detection results in the frame image which is divided into 9 grids and tracks the object in the form of forward, backward, upward, downward, turn right and turn left. System will be tested based on tracking accuracy of objects. From the testing of object tracking accuracy obtained an average success of 76,6%, failure of 23,4% caused by uncertain lighting in the room and objects with shapes resembling objects that are tracking.
Alat Pengklasifikasi Status Burung Puyuh Berdasarkan Berat Badan Menggunakan Metode K-NN Pada Embeded Sistem Boris Wiyan Pradana; Hurriyatul Fitriyah; Rizal Maulana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 8 (2019): Agustus 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Every year,Quail can producing eggs from 240 until 300 grain each head. With their small body, the result of their egg's production are high enough. For breeder raising quail is a good opportunity to make a profit with the many demands nowadays. The method that used by breeder to improve the quality of quails is to separate the cage according to the age of the quails. Separating cages is also useful for distinguishing feed, and quail's nutrition that needed. In this study, we will use body weight as a parameter to classify the status of quail growth, which in general farmers use age as a parameter to separate cages. Loadcell weight sensors will be used as a medium to measure bird weight. Then Arduino will be used as a microcontroller and LCD to display the results. In classifying quail based in body weight, it requires a method to calculate them. Method that used in this study is the K-nearest neighbor(KNN) method. This system will test several asppects of the system including sensor accuracy, comparison between age and weight classification, and system computation time. For the accuracy of the sensor we got the result of accuracy 96.67%. Then in testing using KNN based on body weight compared to age, get the result of an error of 2.23%. And for testing computation time, obtained an average time of 612ms.
Co-Authors Abdurrahman Diewa Prakarsa Abimanyu Sri Setyo Achmad Baichuni Zain Aditia Reza Nugraha Aditya Rafly Syahdana Afflatuslloh Adi Salung Agi Putra Kharisma Agif Sasmito Agung Setia Budi Ahmad Fahmi AdamSyah Ahmad Fatchi Machzar Ahmad Haris Wahyudi Ahmad Wildan Farras Mumtaz Alfatehan Arsya Baharin Ali Ilham Ainur Rahman Allif Maulana Ananda Ribelta Andhika Rizky Fariz Andi Dwi Angga Prastya Andy Hartono Aprilo Paskalis Polii Aries Suprayogi Bagus Sawung Timur Barlian Henryranu Prasetio Belsazar Elgiborado Giovani Djoedir Bilawal Haesri Bimo Dimas Nugraraga Boris Wiyan Pradana Chandra Gusti Nanda Putra Cut Fahrani Dhania Dahnial Syauqy David Isura Dede Satriawan Denis Andi Setiawan Dewi Pusparini Dian Bagus Setyo Budi Diego Yanda Setiawan Dimas Bagus Jatmiko Dimas Dwi Saputra Dimas Firmanda Al Riza Dimas Guntoro Dipatya Sakasana Dody Kristian Manalu Dwi Fitriani Edhi Setyaw, Gembong Eko Ardiansyah Eko Setiawan Erdano Sedya Dwiprasajawara Esa Prakasa Fadhilatur Rahmah Faizal Andy Susilo Fajra Rizky Falachudin Akbar Fatchullah Wahid Afifi Faza Gustaf Marrera Fikriza Ilham Prasetyo Gembong Edhi Setiawan Gembong Edhi Setyaw Gembong Edhi Setyawan Gunawan Wahyu Andreanto Habib Muhammad Al-Jabbar Hafizh Hamzah Wicaksono Hamdan Zuhdi Dewanul Arifin Hamzah Attamimi Handi Handi Handy Yusuf Herwin Yurianda Ichwanul Muchlis Imam Pratama Setiady Indera Ulung Mahendra Iqbal Koza Irham Manthiqo Noor Issa Arwani Ivana Agustina Julisya Thana Khriswanti Khairul Anwar Komang Candra Brata Lashot Ria Ingrid Melanika Lintang Cahyaning Ratri Luqmanul Halim Zain M Ilham Fadilah Akbar M Nuzulul Marofi M. Fiqhi Hidayatulah Marrisaeka Mawarni Mimi Hamidah Moch Zamroni Mochammad Hannats Hanafi Mochammad Hannats Hanafi Ichsan Mohamad Abyan Naufal Fachly Mohamad Misfaul May Dana Mohammad Isya Alfian Mohammad Lutfi Zulfikri Muh. Syifau Mubarok Muhamad Delta Rudi Priyanto Muhamad Ichwan Sudibyo Muhammad Ammar Hassan Muhammad Daffa Bintang Nugroho Muhammad Fatham Mubina Akbar Muhammad Irfan Reza Muhammad Junifadhil Caesariano Muhammad Raihan Al Hakim Muhammad Rifqi Radifan Masruri Muhammad Riyyan Royhan Muhammad Rizki Chairurrafi Muhammad Rizky Rais Muhammad Rizqi Zamzami Muhlis Agung Saputro Musada Teguh Andi Afandi Nafisa Nafisa Nashir Umam Hasbi Nico Dian Nugraha Nur Aini Afifah Isbindra Nur Syifa Syafaat Okky Nizka Pratama Oktaviany Setyowati Olivia Rumiris Sitanggang Pandy Aldrige Simanungkalit Pramandha Saputra Putra Wijaya Putri Harviana Raden Galih Paramananda Rakhmadhany Primananda Rando Rando Refsi Ilham Cahya Rejeki Puspa Dinasty Rekyan Regasari Mardi Putri, Rekyan Regasari Mardi Retno Damayanti Rian Ari Hardianyah Ricky Zefani Aria Zurendra Rifqi Alvaro Rifqi Imam Ramadhan Rizal Maulana Rizka Ayudya Pratiwi Rizqy Maulana Rosa Mulyanis Chan Sabriansyah Rizqika Akbar Salsabiil Hasanah Samuel Lamhot Ladd Palmer Simarmata Satyaki Kusumayudha Septian Mukti Pratama Shafa Sabilla Zuain Sulthan Ghiffari Awdihansyah Syarief Taufik Hidayatullah Tatit Kisyaprakasa Thomas Oddy Chrisdwianto Tibyani Tibyani Tri Oktavia Mayasari Tunggal Manda Ary Triyono Utaminingrum, Fitri Wahyu Hari Suwito Widasari, Edita Rosana Wijaya Kurniawan Wildo Satrio Wisnumurti Wisnumurti Xavierro Lawrenza Yusuf Hendrawan Zultoni Febriansyah