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All Journal Jurnal Neutrino : jurnal fisika dan aplikasinya TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Teknologi Informasi dan Ilmu Komputer Journal of Information Technology and Computer Science Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Tri Dharma Mandiri: Diseminasi dan Hilirisasi Riset Kepada Masyarakat (Jurnal Pengabdian Kepada Masyarakat)
Barlian Henryranu Prasetio
Fakultas Ilmu Komputer, Universitas Brawijaya
Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Health Professions Physics Public Health Social Sciences

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Rancang Bangun Pengendali Pintu Air Sungai Dengan Menggunakan Logika Fuzzy dan Simple Additive Weighting Adven Edo Prasetya; Mochammad Hannats Hanafi; Barlian Henryranu Prasetio
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

Flooding becomes a problem that still can not be solved. Flood problems almost always occur in some areas in Indonesia, especially during the rainy season. If rain falls with high rainfall, and the river can not accommodate the rainfall, there will be flooding. To regulate and maintain the river water flow so as not to overflow and cause flooding, the river flow used water gates. In this study the authors will do the design of the water gate controller system using Fuzzy logic and Simple Additive Weighting. Fuzzy logic in this research will be used to determine the size of water gate opening based on surface water level data obtained from the acquisition of water level sensors, and rainfall data, obtained from the acquisition of rain module sensor. As the actuator to drive the gate is used servo motor. Data from the acquisition of the sensor will be sent to Arduino Mega 2650, then on the microcontroller, Fuzzy Logic calculation is done and Simple Additive Weighting method. Overall Fuzzy logic calculation on the Main River and the entire Anak River has a percentage error of 0.09875%, while the calculation of SAW method used to determine the tributaries that become the best alternative, there is no difference between manual calculations and calculations performed by the system.
Pelumasan Rantai Otomatis Pada Roller Chain Conveyor Menggunakan Metode Regresi Linear Irwanda Adhi Firmantara; M. Hannats Hanafi Ichsan; 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

At this time the chain lubrication which is conducted by operator on conveyor machine spent a lot of time because of the number of conveyor machine. The operator must lubricate a lot of conveyor chain so that the working hours become inefficient. To solve the problem then made an automatic lubrication system. The purpose of this research so that operators can manage the lubrication time on conveyor chain and then the operator can do their job. This automatic lubrication system works based on current level obtained by using ACS712 current sensor which is then calculated using linear regression method in arduino UNO to get the prediction value of lubrication duration. This value is used to activate wind solenoid relay, oil pump relay and oil solenoid relay. After the prediction of lubrication time has been fulfilled by all relays, the system re-measure the current for further lubrication. Proximity sensor is useful when the system is active, the oil pump relay is also active to deliver oil from the oil pump to the oil solenoid. This research uses linear regression method. The solution of this method is to use the current parameter as the independent variable (X) and the time of manual lubrication as the dependent variable (Y) so that the predicted value of the dependent variable (Ŷ) can be calculated as the duration of the automatic lubrication time. By using this method when the current reached the value of 3.88 A obtained the prediction value of the duration of automatic lubrication for 210 seconds. With 2.21% value of error between manual lubrication and automatic lubrication, the predicted value is not much different from manual lubrication time. The the difference predicted value is not too much between manual lubrication time and automatic lubrication system.
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.
Perhitungan Kapasitas Baterai dan Arus Komponen pada Ar.Drone Quadcopter untuk Estimasi Waktu dan Jarak Terbang Yusril Dewantara; Gembong Edhi Setyawan; Barlian Henryranu Prasetio
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

AR.Drone quadcopter 2.0 is one type of unmanned aircraft that is small. Quadcopter is often used by technology practitioners in the field of aerodynamics, used by RC(remote control) hobbyists, used for facilities in the field of search and rescue, or used in military fields. But not infrequently unexpected things like quadcopter that suddenly fell. One of the causes of this is the lack of features that support the user to monitor battery capacity to find out the rest of the flight time the quadcopter can do and how far the quadcopter can fly. To solve that problem, a system that can make the quadcopter operate using a laptop keyboard as a controller can monitor the energy of the battery and used to estimate the time and estimate the displacement when the quadcopter operates have been built. Flight time estimation uses parameters of battery capacity, and current from components on quadcopter board that summed with current on a brushless motor which converted from PWM (Pulse Width Modulation). And to get the value that shows the remaining time of flying quadcopter is used coloumb's law. For estimation of displacement is done based on quadcopter flight test experiments that perform flying operations within a minute. The results of this study informed that the error of movement accuracy using the keyboard is 0%, the error of time fly estimation accuracy is 1.14%, and the error of displacement estimation accuracy is 29.75%
Implementasi Raspberry Pi Embedded System Pada Kamar Mandi Pintar Untuk Monitoring Dan Otomatisasi Valensiyah Rozika; Tibyani Tibyani; Barlian Henryranu Prasetio
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

Provision of bathroom facilities are important at this time, especially with the rapid growth of tecnology in population. The bathroom is the place most often visited by everyone no exception elderly and circles disabillity. Any case fall in bathroom is high enought. Someone will awlays risk of falling at bathroom related with his condition. The impact of the fall incident in someone's at bathroom, minor injuries to death. Therefore in this reasech the reseacher made a smart bathroom system, where the system can be applied in many bathroom facilities in order to monitor and automation the bathroom. This system, gave an illustration of prototype to monitor and automation the bathroom by using rasberrypi as the microprocessor. This system gave adventages such as by the system people will know someone who might be fell in the bathroom and by the system people can save electrical energy. Testing method focused on different user. From testing result, this system has 100% value at functional testing. In testing the detection process by Raspi-camera, user 1, user 2, user 3 were detected from different angles due to differences in standing distance from each user. In testing people passing Raspi-camera, the system accuracy reached 73.3%.
Sistem Kendali Level dan Suhu Air pada Hidroponik menggunakan Sensor Ultrasonik, Sensor Suhu, dan Arduino dengan Metode Regresi Linier Muhammad Rizki Chairurrafi; Hurriyatul Fitriyah; Barlian Henryranu Prasetio
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 1 (2022): Januari 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Hydroponics is a method of farming in which the growing media does not use soil but uses nutrient water needed by plants. There are several factors for the quality of the plants grown hydroponically are fresh and healthy. By controlling the height and temperature of the nutrient water in the hydroponic tub. The control process uses Arduino Uno ATMega328, the for the water level reading system using ultrasonic sensor HC-SR04 and reading the water temperature using a water temperature sensor DS18B20. The output for the water level is a water pump and for the water temperature is a cooling system using Peltier TEC1-12706 as the water cooling component. This research uses a simple linear regression method that functions to predict the duration of the system. The result of this study for the water level feature have a set point of 2,8 cm and the linear regression equation y = 9.71756x - 56.0144 then for the MAPE value is 6.097%. For the water temperature feature have a set point of 28°C and the linear regression equation y - 712.56386 - 19746.65866 then for the MAPE value is 6.3134%. And the computational value to get the duration or y value for the two features obtained from each simple linear regression equation is 1081 mx or 1.081 seconds.
Simulasi Metode Dueling Double Deep Q-Learning pada Unmanned Aerial Vehicle untuk Menghindari Halangan Riyad Febrian; Eko Setiawan; Barlian Henryranu Prasetio
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 3 (2022): Mei 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The ability to avoid obstacles is a subsystem of the navigation system that must be owned by an autonomous robot such as the Unmanned Aerial Vehicle (UAV). This ability governs the process of observing environmental data, making decisions and commands to control movement. Implementation of the avoiding obstacles with conventional methods tends to be static and unable to adapt. Therefore, Implementing this with an artificial intelligence (AI)-based systems will enhance the adaptivity. Reinforcement Learning (RL) is one of the AI or Machine Learning methods that has a characteristic in terms of direct learning in the environment. This study proposes an RL simulation analysis using the Dueling Double Deep Q-Learning (D3QN) method on the UAV to avoid obstacles. The simulation is run on the Airsim simulator and the UAV is a quadcopter. The perceptual configuration of the quadcopter is using a monocular camera, ultrasonic sensor and collision sensor. This study examines the comparative analysis of thresholds of 1 meter and 2 meters, batch sizes 32 and 128. The test results show that the thresholds of 2 meters and batch size 128 provide a more stable visualization plot and converge in less than 70 episode.
Sistem Pengendali Suhu dan Kelembaban Udara Prototipe Greenhouse pada Tanaman Hidroponik menggunakan Metode Regresi Linier Berganda berbasis Arduino Julisya Thana Khriswanti; Hurriyatul Fitriyah; Barlian Henryranu Prasetio
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 4 (2022): April 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Greenhouses can protect plants from erratic weather and plant pests. One of the optimal planting methods to grow in a greenhouse is wick hydroponics. Hydroponic wick is static because it relies on the principle of capillarity which causes high temperatures and poor dissolved oxygen due to the transfer of oxygen from the solution to the air. However, not necessarily hydroponic wick plants are perfectly protected in a greenhouse. The greenhouse effect is an event where some of the heat that penetrates into the greenhouse is then trapped inside so that the greenhouse air temperature becomes warmer. Warm temperatures affect plant growth because the temperature rises and humidity drops. To create optimal temperature and humidity, this research aims to create a temperature and humidity control system. Multiple linear regression is used to control the system, so that the system can run and adjust according to the time predicted by the multiple linear regression model. The temperature and humidity sensor used is a DHT22 sensor with an error during detecting temperature of 5.47% and humidity of 4.85%. In the system, the mean time of multiple linear regression computation is 111 milliseconds. The multiple linear regression model that used to control the system is very good with an error of 7.34%. The system works well and can lower the temperature and increase the humidity.
Pengembangan Sistem Deteksi Diabetes Mellitus Tipe 2 berbasis Photoplethysmography menggunakan K-Nearest Neighbor Nobel Edgar; Rizal Maulana; Barlian Henryranu Prasetio
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 4 (2022): April 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Diabetes Mellitus is an incurable disease related to the metabolism of insulin This disease has the potential to lead one to complication such as cardiovascular diseases or kidney diseases without early precaution. There are two type of Diabetes Mellitus, with type two considered to have higher potential to lead to danger due to the often mild or even non-existent symptoms until one reaches chronic point. Currently, the golden standard to detect Diabetes Mellitus is done through HbA1C tests, which calculates the average blood sugar level among the lifecycle of a red blood cell. Beside HbA1C test, home sugar level test system are also used to monitor blood sugar level during the testing time. Both approach requires the subject to harm themselves in order to obtain the data, hence making this an invasive approach. This research is done in order to develop an alternative system capable of detecting type two Diabetes Mellitus with non-invasive approach, using Photoplethysmography sensor GY-MAX30100, Arduino Nano v3, and K-Nearest Neighbor Algorithm. It is shown that using 10 data for testing, result shows an accuracy of 80% using K=9, Augmentation Index, and Ratio of Amplitude Systolic toward Pulse Interval features. It is also shown that system returns precision of 71%, sensitivity 100%, and F1 score of 83% for healthy class, while system returns precision of 100%, sensitivity 60%, and F1 score of 75% for type two Diabetes Mellitus class.
Co-Authors Achmad Ridok Adharul Muttaqin Adi Setiawan Adven Edo Prasetya Adven Edo Prasetya, Adven Edo Agra Firmansyah Ahmad Afif Supianto Aldi Jayadi Ali, Zidane Allaam, Fakhrul Arief Kurniawan Aryo Pinandito Ash-Shadiq, Aqsath Muhammad Aswin Suharsono, Aswin Atmojo Pamungkas, Handoko Bagus Ayu Astina Sari, Ni Made Baariu, Rahagi Abdu Bagus Priyo Pangestu Brylliano Maza Putra Budi Darma Setiawan Budy Prakoso, Khrisna Shane Chatarina Umbul Wahyuni Dahnial Syauqy Dayat, Fauzi Syarifulloh Defri Alif Raihan Denny Sagita Rusdianto Dhimas Arfian Lazzuardhy Dini Eka Ristanti Dini Ismawati Dwiki Ilham Bagaskara Dwinanda Romolo Edita Rosana Widasari Edita Rosana Widasari, Edita Rosana Eko Setiawan Eko Setiawan Eko Setiawan Fabiana, Ryzaldi Ananda Fachry Ananta Fadhilah, Khairian Fadhillah, Muhammad Galih Faisal Natanael Lubis Faviansyah Arianda Pallas Faza Gustaf Marrera Fitra Abdurrachman Bachtiar Fitriyah, Hurriyatul Gembong Edhi Setiawan Gembong Edhi Setyawan Ghifari, Ahmad Hafidz Abdillah Masruri Hanifa Maulani Ramadhan Haqyah, Saprina Hani Heru Nurwarsito Hilal Imtiyaz I Wayan Boby Astagina Naghi Imam Cholissodin Iqbal Maulana Susanto Irfan Muzakky Nurrizqy Irwanda Adhi Firmantara Isnandar, Muhammad Fawwaz Dynoeputra Iwasawa, Takeru Jevandika Joan Chandra Kustijono Julisya Thana Khriswanti Kamal, Attar Syifa Kusuma, Lindhu Parang La Ode Adriyan Hazmar Lavanna Indanus Ramadhan M. Hannats Hanafi Ichsan M. Ihsan An-Nashir Mahardika, Aryanta Seta Mochammad Hannats Hanafi Mochammad Hannats Hanafi Ichsan Muchlas Mughniy Muflih, Aufada Muhammad Fatikh Hidayat Muhammad Ghifari, Muhammad Muhammad Habib Jufah Alhamdani Muhammad Nabil Aljufri Muhammad Rizki Chairurrafi Nadi Rahmat Endrawan Nashrullah, Ega Rasendriya Naviaddin, Arsal Wildan Ngulandoro, Mochammad Giri Wiwaha Nobel Edgar Novaria Elsari Ryzkiansyah Novea, Leisha Nur, Farhan Marwandi Nurrizqy, Irfan Muzakky Nurul Hidayat Ovriawan Aldo Pribadi Putra Paleva, Haidar Rheza Panggabean, Riki Boy Parja, Mujianto Anda Perkasa, Septiyo Budi Permana, Galih Pierl Kritzenger Sinaga Prawironegoro, Abdul Harris Putera, Thariq Andhita Putra Pamungkas, Dimas Resha Putra, Brylliano Maza Putra, Ravelino Adhianto Surya Raden Galih Paramananda Rahmawan, Muhammad Fuad Rajasa, Mohammad Fariq Rakhmadhany Primananda, Rakhmadhany Ramadhan, Dimas Ramadhan, Muhammad Fitrah Randy Cahya Wihandika Rekyan Regasari Mardi Putri, Rekyan Regasari Mardi Reza Hastuti Riyad Febrian Rizal Maulana Rizal Maulana, Rizal Rosyana Lencie Mampioper Ryan Anggito Priono Sabriansyah Rizkiqa Akbar Sabriansyah Rizqika Akbar Sabriansyah Rizqika Akbar Septiyo Budi Perkasa Sifaunnufus Ms, Fi Imanur Sigit Priyo Jatmiko Subianto, Aflah Fadhlurrahman Syahrul Chilmi, Syahrul Tampubolon, Jeremya Tiara Mahardika Tibyani Tibyani Utaminingrum, Fitri Valensiyah Rozika Widasari, Edita Rosana Wijaya Kurniawan Wijaya Kurniawan Yosia Nindra Kristiantya Yudhistira, Gevan Putra Yunan Alamsyah Nasution Yusril Dewantara Yusuf, Delfi Olivia