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Sistem Klasifikasi Kualitas Ikan Tongkol Beku Berdasarkan Fitur Nilai Warna HSV Menggunakan Metode Naive Bayes Faizal Andy Susilo; Hurriyatul Fitriyah; Gembong Edhi Setyawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The factor of fish quality can be affected by storage procedure and processing treatment is still done manually. Of course, it can make the fish quality will decrease and the sorting process will be wrong. From this problem, it is needed some research and system that can reduce errors to classify fish quality. On this research, we are using image processing and Bayesian method to classify fish quality. Fish will be placed on a styrofoam box that has been equipped with a webcam camera and lamp as lighting. Image processing is used to convert an image from RGB space to HSV space, and we crop the image to get the head section. And after that, we use the hue histogram colour information for the parameter to classify. so the value of bin1, bin 2, and bin 3 and also the standard deviation from histogram value are using as input for classification using Naive Bayes and will process in Raspberry Pi 3 and finally, we can get the fish quality. We are doing some testing. From testing how to implement image processing for this system we get some conclusion that the image which uses the lighting from 5 Watt lamp with white fabric clothes has a good image result, and the result for hue value information from images has to be added. And from testing Naive Bayes methods accuracy was 72.727% and the computation time was 468.864 ms.
Sistem Monitoring Kadar Gas Berbahaya Di Lingkungan Industri Menggunakan Protokol MQTT Sunu Dias Widhi Kurniadi; Mochammad Hannats Hanafi Ichsan; Gembong Edhi Setyawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Air is an important factor in life, but with the increasing physical development of cities and industrial centers, air quality has changed. With today's rapid development, particularly in the industrial and technological sectors, it increases the disruption to air quality due to emissions from the fuel combustion process. Based on these problems, a system of monitoring of hazardous gas content present in the industrial environment uses MQTT protocol and uses ESP8266. In this system the MQ-7 and MQ-135 sensors aim to detect the intensity of changes of carbon monoxide and nitrogen oxide gas levels and then processed by the Arduino microcontroller until the results of the data will be sent to the Thingsboard to be displayed. The execution time required by the system for data processing is 1.3 seconds and the delivery time to the web averages 1,879 seconds.
Perbandingan Sistem Kendali Ar-Drone Menggunakan Leap Motion Pada Node Js dan Labview Hendra Hendra; Gembong Edhi Setyawan; Wijaya Kurniawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Quadcopter is one of Unmanned Aerial Vehicle which is used such a field of defense, agriculture and other fields. Quadcopter is a flying machine that works with the remote control that controled by the pilot using the law of aerodynamics to lift himself or other object. The majority of quadcopter controls still using a remote controller in the form of a joystick or using android based applications. Whereas a simple movement in quadcopter control can help the pilot to control the quadcopter properly.The innovations from Natural User Interfaces (NUI) is to use natural human language such as voice, movement, or view to communicate with quadcopter. In this research will created a control that using innovation from NUI to control quadcopter in the form of simple hand movement of the user. User's hand movement will be detected using leap motion. Leap motion is a device where optical sensor and infrared light detecting the movements of a hand. Leap motion and quadcopter are programmed using javascript and Labview. After testing the performance of its precision the movement and speed, the result percentage of motion accuracy is 100%. At the resulst speed that generated by quadcopter to Pitch, Roll, yaw, gaz moves are directly proportional with value obtained from user movement, When the input from the user gets larger, the quadcopter speed will getting faster and otherwise. The result of delay response test that obtained from the user moving his hands using node.js is 0.258 seconds while the result of delay response system that performed using Labview is 0.131 seconds. Based on its resulst that using Labview programming to control the quadcopter is more responsive than using programming languages javascript.
Analisis Kinerja XBee Seri 2C Berdasarkan Jarak dan Besar Paket Data Ayu Dewi Khumairoh; Mochammad Hannats Hanafi Ichsan; Gembong Edhi Setyawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The choice of transmission devices in the technology of the Wireless Sensor Network (WSN) is very important. At present one of the problems that is still being examined in WSN technology research is the speed of data transmission. Because the energy requirements used by the system are getting smaller, it will result in more data transmission. To overcome this problem, a low-power RF XBee S2C device is chosen but data transmission performance is better. By analyzing the throughput value and Range-test analysis to find RSSI values ​​and the percentage of data sent, XBee S2C was tested with a variety of test distance traveled scenarios, namely 10 meters to 400 meters, and variations in the number of load-throughput testing packages, namely 1 byte to 255 bytes, and the number of packages in the range-test is 1 byte to 84 bytes. Loss packages are detected at a distance of 400 meters. The results of the analysis of throughput, distance and size of the package do not really affect the performance of XBee S2C data transmission. Pearson test results on throughput produce the highest value of 0.961231 (delivery with a distance of 10 meters), and the lowest yield is -0.96648 (delivery with a distance of 150 meters Pearson field test results on maximum Range-test were valued at 0.863349 at 300 meters test and a minimum value of -0.87328 at a distance of 300 meters. The range of the test range greatly affects the RSSI produced. However, the data sent remains stable from a distance of 10 meters to 300 meters with an average of 80-90% of data successfully sent, and new connections will be lost at a distance of 400 meters.
Implementasi Otomasi Kandang dalam Rangka Meminimalisir Heat Stress pada Ayam Broiler dengan Metode Fuzzy Sugeno Abdurrahman Arif Kasim; Rizal Maulana; Gembong Edhi Setyawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

A temperature rise that exceeds the comfort zone leads to heat stress to broiler chickens, where the chicken will experience a decrease in growth, decreased feed, anxiety, increased water consumption and lead to death. The comfortable zone temperature of broiler chickens ranges from 20-25 °C, humidity ranges from 50-70%, and ammonia levels from 0-5 PPM whereas the current temperature problem in Indonesia fluctuates between 29-36 °C. Based on the problem is made automation system to minimize heat stress with Fuzzy Sugeno method. This study using 3 parameters of temperature, humidity, and ammonia from the readings of DHT11 sensors and MQ 135 sensors as input and output of fan speed and water pump dewy scale on the system. To determine the output using Fuzzy Sugeno method. It can be concluded that this system is able to minimize heat stress with the test conducted for 15 days by using 2250 broiler chickens where the death of chickens in cages that do not use this system the number of deaths as many as 93 chickens, and in cages using this system the number of fewer deaths as many as 42 chickens.
Implementasi Wireless Sensor Network Mengunakan Babel Routing Protokol Muhammad Rosyid Khulafa; Sabriansyah Rizqika Akbar; Gembong Edhi Setyawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

One of the technological development of wireless communication is Wireless. Currently developed into Wireless Sensor Network (WSN). A technology consisting of nodes as scattered within the scope of the system using a wireless network. One of the utilization of WSN technology is for application implementation to know temperature, weather, distance in the surrounding environment, then can exchange data through network node node that has been connected. One of them is if there is damage to fixed communication, WSN can be applied as secondary communication or other planning, as communication network infrastructure which is expected to be used when main telecommunication infrastructure have problem that is using Mobile ad hoc network (Manet) technology applied to Wireless Sensor Network (WSN). Manet in other ways can be interpreted as collected nodes, then move random (dynamic), then generate a temporary network by not relying on the existing structure. By utilizing Beagleboneblack as a Manet node, WSN can be applied as a communication between nodes. Beagleboneblack is a mini-computer open source-hardware product with linux Angstrom ARM support, plus many pin headers, digital pins, analogs, pwm and others will be very powerful. In addition to using the default OS, we can also use Linux Beaglebone board OS like Debian 8.6. Sensors are installed on each node, so the Manet can be built as a mobile network.
Implementasi Fault Tolerant System dengan N-modular Hardware Redundancy Khurinika Cahyaning Susanty; Wijaya Kurniawan; Gembong Edhi Setyawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Fault tolerant is needed because many systems are in conditions such critical systems, prone to damage environment, complex designs, and systems with variety users. The survey results of IT company said 99% of 400 respondents had experienced system failure caused by hardware damage resulting in data loss. To overcome this problem, a fault tolerant system was implemented on the hardware part (hardware redundancy) using N-Modular Redundancy (NMR) method that was applied on intensity and temperature reader system. NMR work by duplicate hardware as N that works together and get the same input and then the output results are determined by voting logic using majority vote. The object of implementation is intensity sensor BH1750 and temperature sensor LM35 as input, Arduino Uno as a sensor reader and voter, and the output will be displayed in the Arduino IDE serial monitor. The redundant hardware is sensor reader, Arduino Uno. The test results showed that the system more reliable because even though one of the redundant modules was damaged, the system still operate properly from the other redundant modules that running normally. The analysis before and after the application of the TMR method, reliability system increased by 9.2% from 83.51% to 92.7%.
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 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 Klasifikasi Kualitas Kondisi Toilet Berdasarkan Gas Serta Suhu Berbasis Sensor MQ135 dan DHT11 Menggunakan Metode Naive Bayes Didik Wahyu Saputra; Rizal Maulana; 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

Environmental health is one of the important components that are very influential for human life and health. A clean and healthy environment will make every individual around him comfortable and improve the quality of his life. Toilets are part of an environment that is very important. The poor quality of the toilet facilitates the transmission of bacteria and the development of germs. Based on these problems a system was created that could be used to classify the quality of toilets based on several parameters. In this study the parameters used in comparing the quality of the toilet are odor and temperature on the toilet. Where for odor parameters consists of ammonia gas, carbon dioxide, and carbon monoxide. These gases are gases that are often produced in human activities when on the toilet. The process of determining toilet quality through ammonia, carbon monoxide, carbon dioxide, and temperature is obtained from reading two MQ135 sensors and DHT11 sensors by the Arduino Uno microcontroller using the Naive Bayes method. The use of the Naive Bayes method was chosen as a decision making technique for toilet conditions because it has very good accuracy where the class of toilet type classification has been known from the beginning. From the results of several tests the reading of two MQ135 sensors has a very high correlation with the output voltage. Where for ammonia reading has a correlation of 99.13%, carbon monoxide has a correlation of 99.66%, and carbon dioxide 99.22%. Whereas for the temperature reading of the DHT11 sensor it has a presentation error of 0.502%. Furthermore, in testing the Naive Bayes method system with a total of 55 training data and test data as many as 25 data, obtained an accuracy of 96% with an average computing time of 4.59 seconds.
Co-Authors Abdurrahman Arif Kasim Achfas Zacoeb Achmad Baichuni Zain Adharul Muttaqin Aditya Rachmadi, Aditya Adnan Mahfuzhon Agastya Bramanta Sanjaya Agung Setiabudi, Agung Alexandria, Syarifah ALFATH, ANASHRULLAH FAIZAL Amrin Rosada Amroy Casro Lumban Gaol Anata Tumonglo Andi Mohammad Rizki Andyan Bina Ardhana Anindito Purnowidodo Ardandi, Haekal Fadhilah Ariadi, Yudhi Arista Budi Setyawan Arycca Septian Mulyana Aryo Pinandito Ayang Setiyo Putri Ayu Dewi Khumairoh Ayu Samura Bagus Priyo Pangestu Barlian Henryranu Prasetio Benny Adiwijaya Cindy Lilian Dahnial Syauqy Didik Wahyu Saputra Dimas Angger Pribadi Dimas Bagus Jatmiko Eko Setiawan Enno Roscitra Oktaria Eriq M. Adams Jonemaro Fachrur Febriansyah Manangkalangi Fahmi Farizal Faisal Natanael Lubis Faizal Andy Susilo Faizal Ardiansyah Fajar Miftakhul Ula Fajar Pradana Fajar, Sanhnai Fathirul Faviansyah Arianda Pallas Fikri, Aqil Dzakwanul Fitriyah, Hurriyatul Frans Herbert Nainggolan Fungki Pandu Fantara Handi Handi Hanifa Nur Halimah Haqqi Rizqi Hendra Hendra Hurriyatul Fitriyah, Hurriyatul Irma Asri Kartika Sandy Irma Asri Kartika Sandy Issa Arwani Khurinika Cahyaning Susanty Kurnianingtyas, Diva M. Khanif Ashar Mahendra, I Gusti Putu Krisna Suaba Megananda, Muhammad Rifqi Mesra Diana Tamsar Moch. Agus Choiron Mochammad Hannats Hanafi Ichsan Mochammad Hannats Hanafi Ichsan Moh. Zainur Rodhi Mohammad Kholili Adi Putra Mohammad Riski Aprilianto Muchamad Rafi Dharmawan Muhammad Alif Alfajra, Andi Muhammad Fajaruddin Akbar Muhammad Hanif Haikal Muhammad Rosyid Khulafa Muhammad Tri Buwana Zulfikar Ardi Muliyahati Sutejo Musada Teguh Andi Afandi Nengah Affan Riadi Okke Rizki Kurniawan Purnama, Charrisma Dwi Mahardika Trisna Putra Wijaya Raharja, Kahfi May Rahmat Naharu Yanuar Rakhmadhany Primananda, Rakhmadhany Randy Maulana Rekyan Regasari Mardi Putri, Rekyan Regasari Mardi Rennie, Allan E.W. Reza Ridlo Nugraha Reza Tanjung Ahmad Fauzi Ricky Prasetya Santoso Riko Andianto Rimas Oktama Rinaldi Albert Soritua Riza Irfan, Muhammad Rizal Maulana Sabitha Wildani Hadi Sabriansyah Rizqika Akbar Simanjuntak, Eldon Parasian Solly Aryza Sunu Dias Widhi Kurniadi Syarif Hidayatullah Tadya Adi Prana Tibyani Tibyani Utaminingrum, Fitri Wahyu Hari Suwito Wijaya Kurniawan Wijaya Kurniawan Wijaya Kurniawan Wirawan, Willy Artha Yusril Dewantara Zakky Ramadhan