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Sabriansyah Rizqika Akbar
Fakultas Ilmu Komputer , Universitas Brawijaya
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

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Sistem Kontrol Manajemen Pakan Ikan Lele Sangkuriang berdasarkan Usia Benih Ikan dan Jumlah Takaran Pakan Muhammad Fikri; Mochammad Hannats Hanafi Ichsan; Sabriansyah Rizqika Akbar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 9 (2022): September 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Errors in catfish feed control can result in food residue in the pond. Leftover food in the pond can cause disease in catfish which results in the death of the fish. To anticipate errors in catfish feed control, a system that is able to regulate catfish feed is needed to prevent food residue in catfish ponds. Fish feed regulation requires differentiating or classifying feed doses based on the age of catfish fry, to minimize wasted food residue. Based on the background that has been described, this research focuses on the design and implementation of a catfish feed control system based on seed age and feed dosage. This research was carried out in a pond with sangkuriang catfish species. This study applies an Arduino microcontroller and an ESP8266 Wif Module which are connected to each other via a serial communication line using an internet connection as the MQTT protocol. Arduino functions as the main control system for the fish feed system to process the input signal from the load cell sensor as a feedback component on the internet of things that can be accessed connected to the system via token input access, then on the blynk interface. the initialization program and configuration of various variations of fish feed doses were applied as input commands aimed at the feed opening and closing actuators until the feed was given to the fish pond. The results of this study indicate that this fish feed control system is able to be a solution to overcome time efficiency and the selection of feed dosage according to the size of sangkuriang catfish.
Sistem Tracking Bola dengan Pembagian 3 Area menggunakan Metode Hough Circle Tranform berbasis Raspberry Pi Yoga Sugma Pradana; Eko Setiawan; Sabriansyah Rizqika Akbar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 9 (2022): September 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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This study tries to do an in-depth video analysis using the hough circle transform method which will be applied to a camera slider so that it can detect and move automatically following an object in the form of an orange ball. The case study in this research is to replace the role of the football cameraman on the side of the field in taking close-up shots of the ball. This camera slider is controlled by a raspberry pi 3, a mini computer that is used to detect the ball and control the movement of the camera slider automatically. Image input comes from video input in the form of an orange ball with the help of the opencv library. The output of the results detected by the system is the coordinates of the center of the ball along with the distance of the ball. On the other hand, to facilitate the movement of the ball, the image frame is divided into 3 based on the x-axis. With the division value, area A starts from 0 - 120 pixels, area B starts from 121 - 160 pixels, area C starts from 161 - 320 pixels. To move the camera slider, it is driven by a dc motor at the end of the slider. The main function of the dc motor is to be able to follow the movement of the ball based on the position of the ball in the area A, B or C. While the camera slider position is placed on the side with the camera position facing the field. The size of the field in the study was reduced from its actual size to 1 meter x 2 meters. The camera slider can successfully detect the orange ball with a maximum detectable distance of 90 cm and the camera slider can move following the ball to the right, left and stops.
Sistem Kendali Parameter Suhu dan Nutrisi pada Aeroponik menggunakan Metode Regresi Linier Andi Dwi Angga Prastya; Hurriyatul Fitriyah; Sabriansyah Rizqika Akbar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 10 (2022): Oktober 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Aeroponics is a method of growing without using soil but using nutrient water that is sprayed into the air for 24 hours.. To make plants thrive by reducing water use, there are 2 important factors that need to be considered, namely temperature and ppm. To control using Arduino Uno, for temperature reading system using DS18B20 and for reading ppm levels using a TDS sensor using linear regression method to obtain a prediction of the duration of the output on. The outputs used are 12v fans, 12v and 5v water pumps, and misting nozzles. The results for the temperature with a setpoint in the 300C planting room, get the regression equation y = 9259.9x - 161904 with R Square or r2 = 0.9162, for the RMSE value of 11.413 and the MAPE value of 7.8%. And for the PPM level with a set point of 1170 PPM, the regression equation is y = -1.3298x + 1608 with R Square or r2 = 0.9792, for the RMSE value of 54 and the MAPE value of 8.9%.. Then for the computational value of the simple linear regression equation, the result is 1159ms or about 1.156 seconds.
Sistem Kendali Robot Beroda Wall-Follower pada Tembok Lurus dan Berbelok menggunakan Metode PID Haryanto Sihombing; Eko Setiawan; Sabriansyah Rizqika Akbar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 11 (2022): November 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Wall following navigation is one of the navigation systems used in competitions, for example, in the Indonesian Intelligent Robot Contest (KRCI), where the robot's task is to follow the contours of the walls that form hallways and rooms or is called a wall follower robot. The method used in this wall follower robot is PID method, can make system movement more stable and capable to do an effective error correction. PID controller can hold motor speed at required fixed value and navigate the wall follower. Arduino Uno R3 microcontroller, ultrasonic sensor, and L298N motor driver are used in making this robot system. The determination of the PID controller parameters was obtained using the Ziegler-Nichols second method. This method was chosen to anticipate changes in distance that cause oscillations in the ultrasonic sensor. The combination of PID and Ziegler-Nichols second method will speed up the process of determining PID controller parameters without having to go through a trial-and-error tuning process. The results of the tests showed that with the help of the PID controller, the wall follower robot has been able to make decisions about the movements that must be carried out to follow the side of the wall. The results of the PID parameters achieved from this final project research obtained values of Kp = 6, Ki = 17.1, and Kd = 0.525.
Perancangan Sistem Deteksi Koefisien Kopling Magnetik pada Wireless Power Transfer menggunakan Perbandingan Respon Frekuensi dengan Metrik Euclidean Distance Inayah Wulandari; Sabriansyah Rizqika Akbar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 11 (2022): November 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Wireless Power Transfer (WPT) is a wireless electrical power delivery technology consisting of two circuits, namely the sender and receiver circuits. One of the methods of sending power on WPT is to utilize magnetic induction. This method utilizes a magnetic field or inductance created between coils between two coil windings. In this type of WPT, several parameters that can be optimized to optimize power delivery are frequency, capacitor, and coupling coefficient (K). One of the obstacles encountered in WPT optimization precisely in the parameters of the coupling coefficient is the difficulty of knowing the exact value of the coefficient. This is because the coupling coefficient is a value between 0-1 that describes the degree of proximity between the sender and receiver coils. Therefore, an algorithm was designed to detect the coupling coefficient on WPT by comparing frequency responses using the Euclidean Distance method. This algorithm detects the coupling coefficient by calculating the distance between the input data and the dataset using the Euclidean Distance method. From the calculation of the distance, a dataset with the closest distance will be selected to take the value of the coupling coefficient as the output of this algorithm. The algorithm designed in this study managed to provide accuracy of 96.22% and an average computing time of 0.38 seconds.
Perancangan Sistem Deteksi Koefisien Koupling Magnetik pada Wireless Power Transfer menggunakan Perbandingan Respon Frekuensi dengan Metrik Manhattan Distance Ricko Anggoro Putra Yustono; Sabriansyah Rizqika Akbar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 11 (2022): November 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The development of highly advanced technology allows for the transmission of data without media or what is commonly called wireless (wireless) including sending power commonly called Wireless Power Transfer (WPT). Many factors are known in power delivery at WPT, one of which is the coupling coefficient (k) value. So far, the k-value approach has been carried out by entering values between 0 and 1, making this WPT research inefficient. Therefore, the solution that researchers can provide is to design a coupling coefficient detection algorithm based on frequency response with the Manhattan distance metric. This algorithm will detect the coupling coefficient value based on the frequency and power values at the input. The output result of this algorithm is the corresponding coupling coefficient value. The dataset used in this study consisted of 19 classes with each class totaling 1000 data so that the total dataset was 19000 data. The test results of this study are based on test data, namely getting an accuracy of 95% for coupling coefficient detection, the average computational time required for testing is 0.0274 seconds, and the percentage of error rate from the comparison of the algorithm with the simulation results is 0%..
Perancangan dan Implementasi Programmable Function Generator menggunakan H-Bridge L298N untuk Rangkaian Wireless Power Transfer Arya Rizky Imansyah Harahap; Sabriansyah Rizqika Akbar; Eko Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 11 (2022): November 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

One of the factors that affect the level of power transfer efficiency in Wireless Power Transfer (WPT) technology is the frequency of the voltage used on the coil. Not just any voltage frequency can be used, but there are frequency peaks that can maximize the efficiency of WPT power transmission. To overcome this problem, this study designed a programmable function generator that can produce AC waves in the form of square waves which can be programmed using a microcontroller in the output frequency range of 100 Hz to 25 kHz to be tested in the Wireless Power Transfer circuit. This system utilizes the Arduino UNO PWM phase change period with a 50% duty cycle so that a square wave output with a certain frequency is produced on the H-Bridge L298N. This method obtains an accuracy of the output square wave frequency of 99,46% with the highest error value of 1,992%. Implementation of the system in the WPT circuit by analyzing frequency changes in the range 1 kHz to 25 kHz and a distance of 1 cm to 3 cm, the maximum received power value is obtained in the receiver circuit of 79,72 mW at a distance of 1 cm; 73,68 mW at a distance 2 cm; and 53,24 mW at a distance of 3 cm. The maximum power transmission efficiency values obtained in the test were 7,76% at a distance of 1 cm; 7,558% at a distance of 2 cm; and 3,71% at a distance of 3 cm.
Rancang Bangun Programmable Frequency Generator untuk Wireless Power Transfer berbasis H-bridge MOSFET IRF3205 Revelino Adli; Sabriansyah Rizqika Akbar; Agung Setia Budi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 11 (2022): November 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Wireless energy transfer technology has enormous potential, in the field of transportation, for example, to charge a running vehicle. Many variables can affect the efficiency of energy transfer that occurs, one of the discussions in previous research by Akbar, S., et. al. (2021) regarding wireless power transfer, namely the effect of entering the frequency value on the value of the power transferred through a particular wireless power transfer circuit. In this study a frequency generator is made to output a signal that can be used in a wireless power transfer circuit. This research discusses the engineering of the generator frequency using a microcontroller, to produce a PWM signal with a certain frequency, and an IRF3205 Dual Motor MOSFET H-bridge to convert it into an AC signal. The engineered system also uses button and screen interaction with the user as well as monitoring the power drawn by the WPT circuit with the sensor. Based on testing, the system has succeeded in delivering energy and the effects can also be seen at different frequencies. For the output of the system itself, there is an average frequency error value of 0.27% and a maximum error value of 1.01% at a frequency of 121kHz.
Sistem Prediksi Sisa Waktu Nyala Baterai Uninterruptible Power Supply Lampu Kandang Ayam menggunakan Regresi Linier Muhammad Taufiq Azra Haromain; Eko Setiawan; Sabriansyah Rizqika Akbar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 11 (2022): November 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

One of the problems when chickens breeding is that many chickens become stress or even die due to the condition of the chicken coop, which suddenly becomes dark due to a sudden power outage. Of course, this will be detrimental to chicken farmers. One solution to keep the lights from going out suddenly is to use a UPS. UPS usage is temporary and the light will remain off when the battery runs out. Therefore, the author wants to create a system that can back up power using an Uninterruptible Power Supply (UPS) and can predict the remaining UPS on time using the linear regression method based on the results of the UPS battery voltage readings made by the voltage sensor. This system is connected to the lamp power and system output, namely the UPS battery voltage. The prediction of the remaining UPS time can be accessed at the website address which will be sent to the user's telegram when the system detects a power outage. Based on testing, the voltage sensor has an average offset value of 0.27V with an error rate of 2.1%. The linear regression equation obtained from the initial dataset is Y = -81.33 + 7.85X. The results of testing the prediction accuracy of the remaining UPS on using the linear regression method on this system obtained an MAPE value of 6.64%.
Deteksi Penyakit pada Daun Jagung berdasarkan Hue menggunakan Metode K­Nearest Neighbor berbasis Raspberry Pi Handy Yusuf; Hurriyatul Fitriyah; Sabriansyah Rizqika Akbar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 12 (2022): Desember 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Indonesia is an agricultural country where the majority of the population works in the agricultural sector. Corn (Zea mays) as one of its commodities, is widely used as food, animal feed, industry, oil, and beverages. However, the increase in demand for corn was not supported by an increase in production. This was initiated by several factors, one of which was pests and diseases in corn, such as downy mildew and leaf blight. This study aims to detect corn leaf disease based on Hue using the Raspberry Pi-based KNN method, implement the KNN method for classifying diseases on corn leaves, and determine the accuracy of the system in the classification process. The process of detecting diseases on corn leaves based on Hue uses the Raspberry Pi-based KNN method supported by hardware including the Raspberry Pi 4 model B, webcam camera, laptop, 10 I2C, 16x2 LCD, and power bank. While software includes Jupyter Notebook, Open CV, NumPy, and Scikit-learn. The hardware implementation of the system uses a webcam camera as input, the image results obtained will be processed with the Raspberry Pi 4 model B, after which the results of the classification are displayed in the form of output on the 16x2 LCD. Based on the test, it can be seen that the implementation process from input to output is going well. System accuracy testing produces an accuracy value of 90% with an average computation time of 0.4984 for one test process.
Co-Authors Abirafdi Sukma Nazhifan Achmad Basuki Adhitya Bhawiyuga Adi Pratama Adi Setiyawan Aditya Geraldo Agung Prasetio Agung Setia Budi Agung Widya Gumelar Ahmad Faris Adhnaufal Ahmad Fatchi Machzar Ahmad Fikri Marzuqi Ahmad Mustafidul Ibad Akbar Pandu Segara Aldi Jayadi Andi Dwi Angga Prastya Andi Mohammad Rizki Andreas Widyatmoko Anggi Fajar Andana ari kusyanti Aria Tanzila Harfad Arie Prayogo Pangestu Arief Indra Rivaldy Permana Ariyan Jazmi Arnandha Hadi Pranata Arya Rizky Imansyah Harahap Bagaskara Oki Duwi Saputra Bagus Prasetyo Barlian Henryranu Prasetio Bramantyo Ardi Bunga Boru Hasian Siahaan Dading Firwandhi Sukma Dahnial Syauqy Dea Asmara Gita Dwi Aris Suprayogi Edo Bayu Cahyono Eko Setiawan Elsandio Bramudya Putra Fathoni Era Imanningtyas Faisal Akhmadi Fatwatul Miftahuddin Rizki Fitriyah, Hurriyatul Florensius Tri Putra Simamora Gembong Edhi Setyawan Handy Yusuf Harry Mulya Haryanto Sihombing Hery Julianto Situmorang I Wayan Boby Astagina Naghi Idang Wahyuddin Septiawan Ikhwan Zulfy Imam Syafi'i Al Ghozaly Inayah Wulandari Issa Arwani Jonathan Rovelano Huwae Kasyful Amron Kurnia Ade Prasetia Lulus Bagos Hermawan M. Sandy Anshori M. Sifa'un Ni'am Mahendra Data Maulita Intan Kripsita Moch Rizki Cahyadi Moch. Febryandana Nurfahri Mochamad Hannats Hanafi Ichsan Mochammad Hannats Hanafi Ichsan Mohammad Fauzin Amin Mohammad Kholili Adi Putra Much Rizki Pradana Muhamad Irfanul Hadi Muhamad Nur Arifin Muhammad Aji Guna Darmawan Muhammad Akbar Farisi Muhammad Daffa Firmansyah Muhammad Fatham Mubina Akbar Muhammad Fikri Muhammad Iqbal Muhammad Irfan Reza Muhammad Misbahul Munir Muhammad Rifqi Muzaki Muhammad Rosyid Khulafa Muhammad Rouvan Amiruddin Muhammad Sabilillah Muhammad Taufiq Azra Haromain Muhammad Wingga Woggiasworo Muhammad Zidni Mukmin Mukmin Nicho Ferdiansyah Kusna Pamungkas, Hedy Pinandhita Yudhaprakosa Pramukantoro, Eko Sakti Prasetyo Rizqi Santoso Prastise Titahningsih Primantara Hari Trisnawan Priyambadha, Bayu Puguh Bahtiar Rachmat Eko Prasetyo Rafi Fajar Hidayat Rakhmadhany Primananda Renal Prahardis Revelino Adli Reynald Novaldi Reza Ridlo Nugraha Ricko Anggoro Putra Yustono Ridzhal Hachim Wahyunanto Rifki Karim Ramadhan Riski Julianto Rivaldi Wibowo Rizal Maulana Rizki Septiansyah Rizky Putra Pratama Rizky Septian Damanik Romario Siregar Sofi Hanifah Sultan Achmad Chidir Fajar Syarif Hidayatullah Syifaul Hud'riyah Tugar Aris Andika Prastiyo Raharjo Vatikan Aulia Makkah Wawan Darmawan Widasari, Edita Rosana Widhi Yahya Wifki Ato'ur Rochim Wijaya Kurniawan Wisnu Fajar Dewantara Yandra Charlos Hasugian Yasin Rizqi Afandi Yoga Sugma Pradana Yohana Kristinawati Zakky Ramadhan Zhafran Wadiansyah Zonnete Bryllian Dheo