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Rancang Bangun Robot Tank Automatik Pendeteksi Halangan dengan Kendali Fuzzy Logic Julianto Rebbi Badidi; Ervan Asri; Ratna Aisuwarya
JITCE (Journal of Information Technology and Computer Engineering) Vol 2 No 01 (2018): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

Robotics is a field of science that is developing rapidly, One of Robotic field is a wheeled robot whose sample application allows robots to explore automatically. But today, more research on the application of artificial intelligence in robot control is aimed at obtaining sophisticated kinematic control. In this final project, a wheeled robot will be designed with the ability to detect obstacles. As a control object is a robot tank that both wheels use a belt wheel and have a separate DC motor. A fuzzy logic controller functions to regulate the speed and direction of the robot's motion based on the input of the ultrasonic sensor. The design of robots based on the embedded microcontroller is designed using the C language. From the test results, that fuzzy logic can be embedded in the ATmega328 microcontroller control unit on Arduino Uno, so that a robotic motion can be avoided that can avoid obstacles properly. The closer the obstacle distance results in the sharpening direction of the robot and the more rigorous robot movement.

Rancang Bangun Instrumentasi Elektrokardiograf (EKG) dan Klasifikasi Kenormalan Jantung Pada Pola Sinyal EKG Menggunakan Learning Vector Quantization (LVQ) Maulana Maulana; Hendrick Hendrick; Ratna Aisuwarya
JITCE (Journal of Information Technology and Computer Engineering) Vol 2 No 01 (2018): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

Electrocardiograph (ECG) is a recorder of human heart signals with signal output on a monitor or graph paper. The ECG records the measurement of the electrical activity of the heart from the surface of the body by a set of electrodes that are installed in such a way that reflects the tapping point activity. The pattern of ECG output signals in one heartbeat produces a pattern with a peak point P, Q, R, S and T or QRS complex. ECG signal waveform results were analyzed using Learning Vector Quantization (LVQ) Artificial Neural Networks, and grouped into two classes, namely normal and abnormal heart patterns. The normal heart condition that is trained is a medically normal heart categorized as healthy as 10 data, while an abnormal heart (Heart, Coronary Heart, and Aortic Regurgutation) is 20 data. The LVQ method recognizes the input pattern based on the proximity of the two vectors, namely the vector of the input unit or neuron with the weight vector produced by each class. Online LVQ identification (using ECG) recorded from 25 direct trials resulted in 80% accuracy.

Rancang Bangun Sistem Pencampur Minuman Jamu Otomatis Berbasis Mikrokontroler Ratna Aisuwarya; Nurul Fatimah
JITCE (Journal of Information Technology and Computer Engineering) Vol 3 No 01 (2019): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

People in general have a desire to live a healthy life. One way to keep health is by consuming herbal drinks, one of them is known as jamu. Jamu which is commonly found is "jamu gendong" which is a home-based herbal product that is marketed in the form of liquid in the bottle. When buying jamu, the seller will mix various types of jamu by pouring jamu from each bottle into a glass according to the buyer's request. However, mixing several types of jamu is carried out using the seller estimate, so the dosage of several types of jamu to the glass will vary according to the pouring. The purpose of this research is to make a arduino Mega based automatic jamu beverage mixing system. This system uses an LDR sensor to detect the presence of a glass with a resistance value read by an LDR sensor is > 500 ohm and a DC motor can move by the stirrer. The selection of the jamu menu's is done by pressing the keypad button from the code '1' to the code '8'. After the menu is selected, the jamu will flow to the glass and the volume of jamu will be calculated using a water flow sensor that uses multiplier values. For the volume of 150 mL is used to multiplie factor 3.7 , for the volume of 100 mL is used to multiplie factor 2.9 , and for the volume of 50 mL is used to multiplie factor 1.2.

Sistem Kendali Jarak Jauh dan Monitoring Penggunaan Listrik pada Pompa Air melalui Smartphone Ahmad Fauzi; Ratna Aisuwarya
JITCE (Journal of Information Technology and Computer Engineering) Vol 4 No 01 (2020): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

This study aims to create a control system that can turn on / turn off the water pump by simply pressing a button on the smartphone and monitoring how much electricity was used which will later be converted into cost value in rupiahs. This system is able to further regulate the use of water pumps, such as restrictions on daily use, restrictions on use at certain hours, and pumps can be set to automatically shut down after a few moments of use. This system consists of three main components, namely an embedded system, a website-based mobile application, and a web server. The embedded system consists of Wemos D1, ACS712 current sensor, and relay. From the tests conducted the system can turn on the water pump with an average response time of 2 seconds and the results of monitoring conducted have an average error value of 13.63%.

Sistem Pendeteksi Gejala Awal Tantrum Pada Anak Autisme Melalui Ekspresi Wajah Dengan Convolutional Neural Network Nefy Puteri Novani; Dini Ramadhani Salsabila; Ratna Aisuwarya; Lathifah Arief; Nelia Afriyeni
JITCE (Journal of Information Technology and Computer Engineering) Vol 5 No 02 (2021): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.5.02.93-106.2021

Tantrums are outbursts of anger and they can occur at any age. An attitude tantrum or what is commonly referred to as a temper tantrum is a child's outburst of anger that often occurs when a child shows negative behavior. Emotional outbursts of tantrums that occur in children with autism are not only to seek the attention of adults, but also as an outlet for a child's feelings for parents and those around him on a whim or feeling he is feeling, but the child cannot convey it. For this reason, researchers propose a system for detecting early symptoms of tantrums in children with autism through facial expressions with CNN. The CNN method is one of the deep learning methods that can be used to recognize and classify an object in a digital image. Then the preprocessing process is carried out using labeling on the data. Then the CNN architecture is designed with input containing 48x48x1 neurons. The data was then trained using 357 epochs with an accuracy rate of 72.67%%. Then tested using test data for children with autism to get an average accuracy value of 72.67%%.

Sistem Monitoring Debit dan Tingkat Kekeruhan Air Pada Kolam KOI Berbasis Mikrokontroler Wahyu Budiman; Ratna Aisuwarya
JITCE (Journal of Information Technology and Computer Engineering) Vol 6 No 02 (2022): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.6.02.56-63.2022

This system aims to make it easier for owners to monitor the condition of the koi pond, and minimize the death of koi fish, and can maintain water quality and maximize koi growth and development. Therefore, a system was created that can monitor the discharge and the level of turbidity of water in the koi pond. This system consists of Arduino Uno, NodeMCu, Waterflow Sensor, Turbidity Sensor and buzzer. This system can determine the condition of the pump, whether the pump is running maximally, the signal is not optimal or the pump off based on the water flow produced by the pump, which is then read by the waterflow sensor. When the water discharge > 40 L/hour then the pump turns on maximum, when 40 L/hour > discharge > 0, then the pump flame is not maximal, and when there is no water discharge produced by the pump then the pump is off, if the water turbidity value > 400 NTU, then the water is in a cloudy state and the buzzer as an alarm so that the owner checks the filter and the pool drain will sound, and later the data read by the sensor will be saved to the firebase and will be displayed on the mobile application, and tegram will send a notification in the form of a short message , when the pump is not running optimally, the pump is off, and when the water is cloudy.

Rancang Bangun Robot Tank Automatik Pendeteksi Halangan dengan Kendali Fuzzy Logic Badidi, Julianto Rebbi; Asri, Ervan; Aisuwarya, Ratna
JITCE (Journal of Information Technology and Computer Engineering) Vol. 2 No. 01 (2018)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.2.01.7-18.2018

Robotics is a field of science that is developing rapidly, One of Robotic field is a wheeled robot whose sample application allows robots to explore automatically. But today, more research on the application of artificial intelligence in robot control is aimed at obtaining sophisticated kinematic control. In this final project, a wheeled robot will be designed with the ability to detect obstacles. As a control object is a robot tank that both wheels use a belt wheel and have a separate DC motor. A fuzzy logic controller functions to regulate the speed and direction of the robot's motion based on the input of the ultrasonic sensor. The design of robots based on the embedded microcontroller is designed using the C language. From the test results, that fuzzy logic can be embedded in the ATmega328 microcontroller control unit on Arduino Uno, so that a robotic motion can be avoided that can avoid obstacles properly. The closer the obstacle distance results in the sharpening direction of the robot and the more rigorous robot movement.

Rancang Bangun Instrumentasi Elektrokardiograf (EKG) dan Klasifikasi Kenormalan Jantung Pada Pola Sinyal EKG Menggunakan Learning Vector Quantization (LVQ) Maulana, Maulana; Hendrick, Hendrick; Aisuwarya, Ratna
JITCE (Journal of Information Technology and Computer Engineering) Vol. 2 No. 01 (2018)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.2.01.19-26.2018

Electrocardiograph (ECG) is a recorder of human heart signals with signal output on a monitor or graph paper. The ECG records the measurement of the electrical activity of the heart from the surface of the body by a set of electrodes that are installed in such a way that reflects the tapping point activity. The pattern of ECG output signals in one heartbeat produces a pattern with a peak point P, Q, R, S and T or QRS complex. ECG signal waveform results were analyzed using Learning Vector Quantization (LVQ) Artificial Neural Networks, and grouped into two classes, namely normal and abnormal heart patterns. The normal heart condition that is trained is a medically normal heart categorized as healthy as 10 data, while an abnormal heart (Heart, Coronary Heart, and Aortic Regurgutation) is 20 data. The LVQ method recognizes the input pattern based on the proximity of the two vectors, namely the vector of the input unit or neuron with the weight vector produced by each class. Online LVQ identification (using ECG) recorded from 25 direct trials resulted in 80% accuracy.

Rancang Bangun Sistem Pencampur Minuman Jamu Otomatis Berbasis Mikrokontroler Aisuwarya, Ratna; Fatimah, Nurul
JITCE (Journal of Information Technology and Computer Engineering) Vol. 3 No. 01 (2019)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.3.01.8-17.2019

People in general have a desire to live a healthy life. One way to keep health is by consuming herbal drinks, one of them is known as jamu. Jamu which is commonly found is "jamu gendong" which is a home-based herbal product that is marketed in the form of liquid in the bottle. When buying jamu, the seller will mix various types of jamu by pouring jamu from each bottle into a glass according to the buyer's request. However, mixing several types of jamu is carried out using the seller estimate, so the dosage of several types of jamu to the glass will vary according to the pouring. The purpose of this research is to make a arduino Mega based automatic jamu beverage mixing system. This system uses an LDR sensor to detect the presence of a glass with a resistance value read by an LDR sensor is > 500 ohm and a DC motor can move by the stirrer. The selection of the jamu menu's is done by pressing the keypad button from the code '1' to the code '8'. After the menu is selected, the jamu will flow to the glass and the volume of jamu will be calculated using a water flow sensor that uses multiplier values. For the volume of 150 mL is used to multiplie factor 3.7 , for the volume of 100 mL is used to multiplie factor 2.9 , and for the volume of 50 mL is used to multiplie factor 1.2.

Sistem Kendali Jarak Jauh dan Monitoring Penggunaan Listrik pada Pompa Air melalui Smartphone: Studi Kasus: Kos XYZ Kota Padang Fauzi, Ahmad; Aisuwarya, Ratna
JITCE (Journal of Information Technology and Computer Engineering) Vol. 4 No. 01 (2020)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.4.01.32-39.2020

This study aims to create a control system that can turn on / turn off the water pump by simply pressing a button on the smartphone and monitoring how much electricity was used which will later be converted into cost value in rupiahs. This system is able to further regulate the use of water pumps, such as restrictions on daily use, restrictions on use at certain hours, and pumps can be set to automatically shut down after a few moments of use. This system consists of three main components, namely an embedded system, a website-based mobile application, and a web server. The embedded system consists of Wemos D1, ACS712 current sensor, and relay. From the tests conducted the system can turn on the water pump with an average response time of 2 seconds and the results of monitoring conducted have an average error value of 13.63%.

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