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All Journal International Journal of Electrical and Computer Engineering IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Teknologi Informasi dan Ilmu Komputer 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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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.
Pengendalian Kelembaban dan PH pada Alat Semai Otomatis berdasarkan Sensor Kelembaban, PH, dan Arduino menggunakan Regresi Linier Dody Kristian Manalu; Hurriyatul Fitriyah; Edita Rosana Widasari
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

Humidity and acidity (PH) are essential factors because if rockwool is too acidic not moist or dry the plant growth rate will be slower. A pH that is too acidic or alkaline can result in the deposition of nutrients and inorganic substances in hydroponics so that plant growth is less than optimal. Temperature also plays an important role in plant growth. With this the author will create a system using a Soil Moisture sensor a PH-4502C sensor and a Linear Regression method that is connected to the Arduino Uno and will issue an output that is flowing water through a water pump with the condition that the humidity in the rockwool has not met the set point as well as for the pH will flow PHUP water if the pH conditions on Pakcoy plants are low and will flow PHDOWN if the pH conditions on Pakcoy plants are high. For this system there are 25 training data including 20 data as training data and 5 data as test data. The results obtained from the Linear Regression test are MAPE and RMSE for humidity 5,1% and 0.12 while for PH are 5,2% and 0.17 and the results of Pakcoy seed plants can grow perfectly as expected.
Purwarupa Sistem Monitoring dan Otomatisasi Air Limbah Industri Tekstil dengan Metode Fuzzy Logic Mamdani Imam Pratama Setiady; Mochammad Hannats Hanafi Ichsan; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 6 (2022): Juni 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Textile industry is one of national mainstay sectors that contribute significantly to economic progress. High production in textile industry causes damage to environmental because production process produces wastewater which is dumped into river areas. Report from Badan Pusat Statistik (BPS) that quality of river water in Indonesia is in not-good category. To overcome these problems, required systems can carry out monitoring of classification status of wastewater and automation actions. This research implements DS18B20 sensor, pH sensor and turbidity sensor as an input monitoring process controlled by Arduino Mega 2560. Classification and automation process is applied to fuzzy logic Mamdani method for making wastewater status and automation of speed on DC motor R385. Fuzzy logic Mamdani method is applied using fuzzy system designer LabVIEW toolkit to implementation of the fuzzification, inference and defuzzification. All of processes displayed real-time in LabVIEW with form of numbers, indicators and graphs from both the monitoring and fuzzy logic Mamdani results. Accuracy fuzzy logic Mamdani method in system was comparing with system in MATLAB. Results MAPE for water status is 0.49%, disposal is 0.49% and water reservoir is 0.50%. It very good results.
Prediksi Bobot Segar pada Tanaman Hidroponik berdasarkan Kondisi Daun menggunakan Metode Pengolahan Citra Digital dan Jaringan Syaraf Tiruan Mohamad Abyan Naufal Fachly; Hurriyatul Fitriyah; Rizal Maulana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 6 (2022): Juni 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Based on data from the Central Statistics Agency, the production of mustard plants in Indonesia, especially in East Java Province in 2020 reached 77,176 tons. Where this production increased compared to the production in 2019 which reached 74,395 tons . Mustard plants in Indonesia are cultivated using several techniques, one of the techniques is hydroponics. Hydroponics is a system of cultivating plants using water that contains nutrients and minerals without soil. Plants produced from hydroponics have better quality than conventionally grown plants and also hydroponic plants can prevent plants from pests. Besides having advantages, hydroponic cultivation of mustard plants also has disadvantages such as the amount of electricity used, water discharge, solution concentration, and moss which can affect plant conditions like fresh weight. Fresh weight is one indicator of plant growth, where if the plant growth is good, the fresh weight produced will be high. Therefore, researchers want to predict the condition of hydroponic plants based on their fresh weight using digital image processing methods and artificial neural networks. This system works using a RaspberryPi as hardware that is connected to a webcam. Later the camera will capture the image of the leaves from the hydroponic mustard plant, then provide output in the form of fresh weight information on a 16x2 LCD. Based on the tests carried out on the system using 10 mustard plants to predict the fresh weight of the plant, it resulted in an an average MAPE of 0.67%. In addition , two computational time tests were also carried out , which consisted of the computation time on the system and the computation time for the Artificial Neural Network method . Where the computational time on the system produces an average time of 4.884 seconds and the computation time of the artificial neural network method with an average time of 0.192 seconds.
Pendaratan Micro-Drone berdasarkan Quick Response Code menggunakan DJI Tello dan Raspberry Pi Satyaki Kusumayudha; Hurriyatul Fitriyah; Rizal Maulana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 6 (2022): Juni 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Unmanned Aerial Vehicle (UAV) or commonly called drone is an unmanned aircraft that is used for various needs. UAVs or Drones have a wide range of constructive applications such as remote inspection, agricultural monitoring, photography or filmmaking, Search and Rescue and package delivery. The Indonesian Flying Robot Contest (KRTI) is one of the national level robot contests held by the Directorate General of Higher Education (DIKTI) regularly every year. The Indonesian Flying Robot Contest has several divisions, one of which is Vertical Take Off Landing (VTOL). In 2021, the Vertical Takeoff landing competition division carries the theme of Delivery of Goods to the multi-storey apartment model using a VTOL vehicle based on QR code address recognition (Quick Response) and precision COLOR markings to support life in the post-pandemic New Order Era). By using the DJI Tello as a vehicle to be flown and the raspberry pi as a tool to program and using the pyzbar library to translate QR codes, we can find the computational time needed by DJI Tello to translate QR codes and also its accuracy in reading QR codes, as well as researchers. would like to find the percentage of DJI Tello's success in carrying out the mission to be given. The results of the DJI Tello accuracy test for reading the QR code are 86.67% and the time it takes for DJI Tello to read the QR code is 0.5959533 seconds. is 0.5959533 seconds.
Implementasi KNN untuk Sistem Klasifikasi Ukuran Baju Pria berdasarkan Pengukuran Badan menggunakan Metode Pengolahan Citra Digital berbasis Raspberry Pi Fajra Rizky; Hurriyatul Fitriyah; Rakhmadhany Primananda
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 7 (2022): Juli 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The thing that is usually done in determining a dress size is to try out several available sizes in order to get the size of the clothes that you want and fit your body. To try on various sizes of clothes, a fitting room is provided which is used to try on the clothes. This system is made to make it easier for users to choose the size of the clothes without trying each size of each shirt and this system can replace the function of the fitting room. This system is made using the KNN with digital image processing methods. KNN or K-Nearest Neighbor is an algorithm that compares the value you are looking for with the value of those that have the same characteristics or are closest to the value you are looking for. In this system the input is the form of an image captured using a webcam camera which will later be processed digitally using a Raspberry Pi which is the place for data processing. This system works with a webcam camera to detect the user's body size, namely the height and width of the user's shoulders, this data is obtained using a function from image processing, namely the bounding box, which functions as a determinant of the height and width of the user's shoulders taken from the height and width of the bounding the box . The output of the system is that the user can see the size of the shirt that best matches the size used on the 16x2 LCD. Based on the testing, the system gets 92% accuracy and the computation time is 3,07641s.
Klasifikasi Jumlah Daun pada Semai Hidroponik menggunakan Pengolahan Citra dan Jaringan Syaraf Tiruan berbasis Raspberry Pi Ahmad Wildan Farras Mumtaz; Hurriyatul Fitriyah; Fitri Utaminingrum
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 7 (2022): Juli 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Hydroponics is a technique of growing crops without using soil as a growth medium. A plant that is often cultivated and applied to hydroponic practices and has a relatively fast harvest period is mustard pakcoy(Brassica rapa subsp. chinensis). To produce healthy and quality mustard pakcoy, monitoring is needed, especially during the seeding period for ±21 days. When the seedling period is over, the plant must be removed immediately so that it does not quickly age and inhibit vegetative growth. In this study, an automatic monitoring system for the number of mustard pakcoy leaves was designed. This system utilizes image processing and uses a raspberry pi-based Artificial Neural Network method in its manufacture. The mustard leaf image will be captured using a webcam camera which will then be processed into a raspberry pi and the detection results will be displayed on a 16x2 i2C LCD. The training data used in this study were 300 data. The results of 40 tests carried out by this monitoring system get an accuracy of 92.5% with a system computing time of 4.6445 seconds and a computation time of the ANN method 1.2185 seconds.
Kinematika Robot dengan Sistem Kendali Proportional Integral dan Derivative menggunakan Sensor IMU pada Robot Hexapod Ali Ilham Ainur Rahman; Rizal Maulana; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 7 (2022): Juli 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The Indonesian Robot Contest (KRI) 2021 with one of its divisions, the Indonesian Robot Search and Rescue Contest (KRSRI), raised the background on the disaster environment with robots as a solution. There are obstacles on the path of the robot labyrinth as a manifestation of the irregularity of the disaster environment, using the obstacle board. A hexapod robot is a legged robot that can move if a certain movement pattern is applied with mathematical calculations such as inverse and body kinematic. The addition of a body kinematic, instead of inverse kinematics only, allows the robot to not only move sideways, forward and backward, but the addition of rotating motion is also possible. The hexapod robot is very possible to apply gait so that the robot can walk, three of which are tripod, wave, and ripple gait. Even though the robot is designed in such a way, there is still the possibility that there will be an error value during movement due to the imperfection of the system. The solution to reducing this value can be the application of a Proportional, Integral, and Derivative (PID) control system on the system. While the PID gain value can be found using the Zeigler-Nichols method which looks for the sustained oscillation signal from the system. On the yaw axis of the robot, the PID sustain oscillation values ​​are 1,23s, 2,1, for the pitch and roll axes of the robot to maintain balance, the sustain oscillation values ​​are 0,51s, 1,1, while the roll 1,72Hz, 1,2. The results of the robot's walking accuracy after using PID have increased, the tripod step pattern has an MAE (Mean Absolute Error) of 0,62, different from before the PID was implemented at 9,35. Wave and Ripple were previously unable to reach the finish line, with PID robots being able to reach the finish line. The Indonesian Robot Contest (KRI) 2021 with one of its divisions, the Indonesian Robot Search and Rescue Contest (KRSRI), raised the background on the disaster environment with robots as a solution. There are obstacles on the path of the robot labyrinth as a manifestation of the irregularity of the disaster environment, using the obstacle board. A hexapod robot is a legged robot that can move if a certain movement pattern is applied with mathematical calculations such as inverse and body kinematic. The addition of a body kinematic, instead of inverse kinematics only, allows the robot to not only move sideways, forward and backward, but the addition of rotating motion is also possible. The hexapod robot is very possible to apply gait so that the robot can walk, three of which are tripod, wave, and ripple gait. Even though the robot is designed in such a way, there is still the possibility that there will be an error value during movement due to the imperfection of the system. The solution to reducing this value can be the application of a Proportional, Integral, and Derivative (PID) control system on the system. While the PID gain value can be found using the Zeigler-Nichols method which looks for the sustained oscillation signal from the system. On the yaw axis of the robot, the PID sustain oscillation values ​​are 1,23s, 2,1, for the pitch and roll axes of the robot to maintain balance, the sustain oscillation values ​​are 0,51s, 1,1, while the roll 1,72Hz, 1,2. The results of the robot's walking accuracy after using PID have increased, the tripod step pattern has an MAE (Mean Absolute Error) of 0,62, different from before the PID was implemented at 9,35. Wave and Ripple were previously unable to reach the finish line, with PID robots being able to reach the finish line.
Implementasi Sistem Robot Otonom dengan Sensor Kinect menggunakan Algoritme Gmapping dan Timed Elastic Band Hamdan Zuhdi Dewanul Arifin; Rizal Maulana; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 8 (2022): Agustus 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The isolation room in the hospital has very strict safety and health procedures to maintain the sterility of the area. This requires health workers to use personal protective equipment (PPE) during their activities in the isolation room. The virus outbreak in 2020 made hospitals need more isolation rooms, resulting in higher demand for PPE supplies and a higher risk of health workers being exposed to the virus. For this, an autonomous mobile robot system is needed at the hospital to help the workforce, especially in terms of logistics. The system consists of several components including Kinect sensor, encoder, IMU, and with Robot Operating System (ROS) middleware. The advantage of this research is the shape of the robot prototype which has a large size. To create autonomous navigation, a path planning method is needed, therefore the Timed Elastic Band (TEB) algorithm is used. Before navigating, a precise map is needed, therefore a map-making method using the GMapping algorithm is needed. The test results on navigation show an accuracy of 50% from 10 trials that have been successful 5 times. Navigation is carried out using the TEB algorithm computation time of 2.77 seconds and the average time of successful robot movement to the destination coordinates is 129.98 seconds. For mapping, the accuracy is 50% with map size accuracy of 98.84%.
Pembangunan Aplikasi Pengenalan Kanker Melanoma berbasis Android Abdurrahman Diewa Prakarsa; Komang Candra Brata; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 8 (2022): Agustus 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Cancer is a disease caused by the uncontrolled growth of abnormal cells in the human body. Melanoma cancer or also known as mole cancer which is included in skin cancer is one of the rare cancers and is one of the most virulent cancers because it can easily spread to organs. Of course the ideal thing that is expected is not to fall sick, but it is better if we have knowledge about melanoma cancer in order to avoid melanoma cancer. The author sees an opportunity to make an application about melanoma cancer based on Android that can introduce and provide general knowledge in a general form so that it encourages users to come to the doctor for a checkup when their mole is not properly shaped. The author will build an application that has features that will be adapted to the needs and will be implemented using the Java programming language. Tests on the application are carried out using functional testing, detection testing, and usability testing methods. In functional testing using blackbox and getting 100% valid results because it has fulfilled all the needs. The accuracy test got 56% accuracy and usability test using SUS (System Usability Scale) got a SUS score of 78 with good information..
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 Benny Adiwijaya 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 Eko Setiawan Erdano Sedya Dwiprasajawara Esa Prakasa Fadhilatur Rahmah Fahmi Erza 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