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Sistem Monitoring Gas Chloro Fluro Carbon (CFC) Pada Air Conditioner (AC) Dengan Menggunakan Arduino Dan Sensor MPX5700AP Hernawan Rofi Kurnianto; Wahyu Sapto Aji
Just TI (Jurnal Sains Terapan Teknologi Informasi) Vol 13, No 1 (2021): Januari 2021
Publisher : Politeknik Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46964/justti.v13i1.619

Permasalahan yang muncul pada sistem Air Conditioner (AC) adalah pengguna tidak mengetahui kondisi gas Chloro Fluro Carbon (CFC). Oleh karena itu penelitian ini mengusulkan tentang sistem monitoring gas CFC pada sistem Air Conditioner. Sistem monitoring sangat penting karena membantu mengetahui kinerja alat. Sistem monitoring ini menggunakan sensor MPX5700AP untuk membaca tekanan gas CFC dan Arduino sebagai sistem pengolahan data. Sistem monitoring juga dilengkapi dengan sistem alarm untuk memberi peringatan ke pengguna. Hasil olah data Arduino akan dimunculkan menjadi notifikasi pada LCD 16x2 sehingga pengguna dapat mengetahui kondisi gas CFC. Pengukuran tekanan gas CFC menggunakan perbandingan pengukuran antara sensor MPX5700AP dengan standar alat ukur gauge manifold. Berdasarkan pengujian sistem yang diusulkan mampu bekerja dengan baik. Sensor dapat mengukur perubahan tekanan, Arduino dapat mengolah data dan sistem ini mampu memunculkan angka pada layar LCD 16x2 sebagai notifikasi dan alarm akan berbunyi pada tekanan 49,95Psi. Prototipe hardware ini memiliki keakuratan pengukuran sebesar 99,12% dibandingkan dengan alat kalibrasi. Berdasarkan pengujian sistem dapat diterapkan untuk membantu pengguna memantau kondisi gas CFC pada AC.

Wall Following Control System with PID Control and Ultrasonic Sensor for KRAI 2018 Robot Muhamad Hamam Iqbal; Wahyu Sapto Aji
International Journal of Robotics and Control Systems Vol 1, No 1 (2021)
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijrcs.v1i1.206

Indonesian Abu Robot Contest (KRAI) in 2018 with the theme "Throwing a Blessing Ball". The main purpose of this robot is to be able to navigate automatically in an area that is bordered by walls to complete the mission. The main problem with the robot is the navigation system. The application of PID control in the wall following system has been able to make robot movements smooth, responsive, and fast. In this study, PID control aims to smooth the movement of the robot while walking along the wall in the race arena. The PID parameter is obtained from the results of tuning with the trial and error method, the values of KP = 3, KI = 0, and KD = 5. At the PWM 150 set point the value of the ultrasonic sensor distance reading to the object in the form of a wall with an average error of 4.4. cm. At the PWM 200 set point the value of the ultrasonic sensor distance reading to the object in the form of a wall with an average error of 0.4 cm. At the PWM 250 set point the value of the ultrasonic sensor distance reading to the object in the form of a wall with an average error of 0.8 cm. This error does not have an effect on the performance of the wall following system, because the system only uses the distance value reading data with a decimal value in front of the comma. So it can be concluded that the wall following system which is designed using ultrasonic sensors with measurement error that occurs is zero.

Rapid bacterial colony classification using deep learning Son Ali Akbar; Kawarul Hawari Ghazali; Habsah Hasan; Zeehaida Mohamed; Wahyu Sapto Aji; Anton Yudhana
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 1: April 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i1.pp352-361

Bacterial colonies infection is one of the causes of bloodstream disease, and it can be a fatality. Therefore, medical diagnoses require fast identification and classification of organisms. Artificial Intelligence with deep learning (DL) can now be developed as a rapid bacterial classification. The research aims to combine deep learning and support vector machines (SVM). The ResNet-101 model of the DL algorithm extracted the image’s features using transfer learning then classified by the SVM classifier. According to the experimental results, this model had 99.61% accuracy, 99.58% recall, 99.58% precision, and 99.97% specificity. The technique presented might enhance clinical decision-making.

Sistem Monitoring Kolesterol Melalui Iris Mata dengan Metode Pengolahan Citra Abdul Fadlil; Wahyu Sapto Aji; Arief Setyo Nugroho
Jurnal Rekayasa Elektrika Vol 16, No 1 (2020)
Publisher : Universitas Syiah Kuala

Early detection to determine the presence or absence of cholesterol in the body is a necessity for everyone who wants to live healthy. Many diseases can be caused by the presence of cholesterol such as heart disease, stroke, nerve disorders, kidney problems, hypertension, and etc. Therefore, cholesterol detection must be done regularly. This study discusses about the cholesterol detection system through the iris eyes using image processing and monitoring progress in continously. Detection of cholesterol can be observed with Arcus Senilis or a gray ring in the iris eyes. Tests carried using 15 samples which cholesterol identifed. The process of image processing consists of image acquisition, sharpening, segmentation, convert grayscale and binary images. Cholesterol can be identify with difference between pixel values 0 (black) and pixel values 1 (white) in binary images. Research data will be stored in an Excel format database with adding some user data. From the test, results analysis carried the try and error threshold method using values of 80, 100, 150, and getting an accuracy of 87%, 73%, and 33%. Besides, monitoring cholesterol can be carried using a system interface and database with adding the required data and can display it on excel.

OMRON CP1E-NA20DR-A PLC Based Fish Scales and Manure Cleaner Prototype Teguh Priyono; Wahyu Sapto Aji
Buletin Ilmiah Sarjana Teknik Elektro Vol. 5 No. 2 (2023): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar

In fish removal, most of them still use manual cleaning tools whose main crust is human labor so that it can take a not fast time, especially if it is large-scale in cleaning fish and in terms of safety, it is very risky for injured hands due to manual cleaning tools. Aka it is necessary to have a fish cleaning device and clean the dirt automatically, Design and build a prototype of a fish scales and dirt cleaner based on PLC OMRON CP1E-NA20DR-A is a solution in cleaning fish scales and large-scale fish excrement. The way the tool works is that the operator will put the fish into the machine, after the fish is inserted, the sensors at the entrance of the fish will respond to the fish by sending a signal to the PLC so that the PLC will turn on the induction motor as the main crust of the machine, after the engine starts the fish will start to clean the scales and dirt using a knife that has been designed to be used on the machine. Researchers used three fish samples in machine performance experiments to find out how efficient the process of combing and cleaning the dirt was compared to using manual cleaning. The results show that the tool has worked as a whole in scouring and cleaning the dirt as desired by the researcher.

Sistem Monitoring Kolesterol Melalui Iris Mata dengan Metode Pengolahan Citra Abdul Fadlil; Wahyu Sapto Aji; Arief Setyo Nugroho
Jurnal Rekayasa Elektrika Vol 16, No 1 (2020)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v16i1.15657

Early detection to determine the presence or absence of cholesterol in the body is a necessity for everyone who wants to live healthy. Many diseases can be caused by the presence of cholesterol such as heart disease, stroke, nerve disorders, kidney problems, hypertension, and etc. Therefore, cholesterol detection must be done regularly. This study discusses about the cholesterol detection system through the iris eyes using image processing and monitoring progress in continously. Detection of cholesterol can be observed with Arcus Senilis or a gray ring in the iris eyes. Tests carried using 15 samples which cholesterol identifed. The process of image processing consists of image acquisition, sharpening, segmentation, convert grayscale and binary images. Cholesterol can be identify with difference between pixel values 0 (black) and pixel values 1 (white) in binary images. Research data will be stored in an Excel format database with adding some user data. From the test, results analysis carried the try and error threshold method using values of 80, 100, 150, and getting an accuracy of 87%, 73%, and 33%. Besides, monitoring cholesterol can be carried using a system interface and database with adding the required data and can display it on excel.

Oil Palm USB (Unstripped Bunch) Detector Trained on Synthetic Images Generated by PGGAN Aji, Wahyu Sapto; bin Ghazali, Kamarul Hawari; Akbar, Son Ali
Journal of Robotics and Control (JRC) Vol 4, No 5 (2023)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v4i5.19499

Identifying Unstriped Bunches (USB) is a pivotal challenge in palm oil production, contributing to reduced mill efficiency. Existing manual detection methods are proven time-consuming and prone to inaccuracies. Therefore, we propose an innovative solution harnessing computer vision technology. Specifically, we leverage the Faster R-CNN (Region-based Convolution Neural Network), a robust object detection algorithm, and complement it with Progressive Growing Generative Adversarial Networks (PGGAN) for synthetic image generation. Nevertheless, a scarcity of authentic USB images may hinder the application of Faster R-CNN. Herein, PGGAN is assumed to be pivotal in generating synthetic images of Empty Fruit Bunches (EFB) and USB. Our approach pairs synthetic images with authentic ones to train the Faster R-CNN. The VGG16 feature generator serves as the architectural backbone, fostering enhanced learning. According to our experimental results, USB detectors that were trained solely with authentic images resulted in an accuracy of 77.1%, which highlights the potential of this methodology. However, employing solely synthetic images leads to a slightly reduced accuracy of 75.3%. Strikingly, the fusion of authentic and synthetic images in a balanced ratio of 1:1 fuels a remarkable accuracy surge to 87.9%, signifying a 10.1% improvement. This innovative amalgamation underscores the potential of synthetic data augmentation in refining detection systems. By amalgamating authentic and synthetic data, we unlock a novel dimension of accuracy in USB detection, which was previously unattainable. This contribution holds significant implications for the industry, ensuring further exploration into advanced data synthesis techniques and refining detection models.

Designing a Pure Sine Wave Inverter 250 VA Based on EGS003 Pashadewa, Alannafi Husein Bayu; Aji, Wahyu Sapto
Signal and Image Processing Letters Vol 6, No 1 (2024)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v6i1.104

The design of a pure sine wave inverter based on the EGS003 aims to improve the efficiency of electrical energy conversion. This inverter development method integrates PWM (Pulse Width Modulation) control with a pure sine wave reference signal. The use of PWM control allows precise adjustment of the pulse width of the output signal, according to the desired sine wave characteristics. Consequently, this inverter is capable of producing pure sine waves without significant harmonic distortion, enhancing the quality of the generated power and reducing energy losses due to harmonic distortion. This research involves the implementation of EGS003 technology, which is a dedicated PWM controller designed for inverter applications. The use of this controller enables the optimization of resource utilization and enhances energy conversion efficiency. Furthermore, the development of the EGS003-based inverter involves the analysis and design of control circuits in line with modern power electronics principles. This includes adjusting PWM control parameters to various load characteristics, allowing the inverter to operate optimally under different usage conditions. The design results demonstrate that the pure sine wave inverter based on EGS003 provides satisfactory performance in delivering output compliant with power quality standards. With the capability to generate pure sine waves without significant harmonic distortion, this inverter has broad application potential in power systems requiring high-quality power. Additionally, the use of PWM control technology in this inverter facilitates ease of operation adjustment and monitoring, enhancing the overall reliability and efficiency of the system.

Motorized Vehicle Security System Using SMS with GPS Tracking Method Based on Arduino UNO Prasetio, Andhika Dwi; Aji, Wahyu Sapto
Signal and Image Processing Letters Vol 7, No 1 (2025)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v7i1.108

Cases of motorcycle loss are increasingly common in the community. This situation is caused by the lack of security systems installed on motorcycles, which are generally limited to the vehicle's ignition key. In fact, only a few medium-sized motorcycles are equipped with alarms as an additional form of security. A solution is needed to reduce theft or robbery on motorized vehicles, which is realized through a study entitled "Motorized vehicle security system using SMS with GPS Tracking method based on Arduino UNO A system that uses GPS and SMS that can be found on smartphones. This system is able to control the connection and disconnection of electric current in motorized vehicles using SMS, then it will be forwarded to the relay. The motorized vehicle security system using SMS with the Arduino UNO-based GPS Tracking method that has been made can function properly and can detect the position of the motorcycle accurately according to the motorcycle coordinate point. Tests to detect the position of the vehicle were carried out as many as 20 locations and the results were in accordance with the coordinate points of the vehicle. In testing to turn off the motorcycle engine, the results show that the motorcycle can be turned off remotely with an average delay of 6.97 seconds. In testing to turn on and turn off the alarm, the results show that the motorcycle alarm can be turned off remotely with an average delay of 7 seconds. this shows that the motorized vehicle security system using SMS with the Arduino UNO-based GPS Tracking method that has been made can function properly and as it should.

Mixer Control System for Brick Making Based on PLC Omron CP1E-NA20DR-A Setiawan, Eka Budi; Aji, Wahyu Sapto
Signal and Image Processing Letters Vol 4, No 3 (2022)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v4i3.69

Bricks play a very important role in the construction of houses. No matter how beautiful a house is, without bricks, it cannot be said to be a house. With the development of architecture, bricks are not limited to the protection of the house, the role of bricks is now shifting towards a broader architectural design or construction. This research was conducted by designing hardware and software design and research materials. This hardware consists of several parts and ways of working in producing bricks, ranging from the frame as a support, control panel from PLC, pneumatic system, soil milling place, and 3-phase induction motor as a drive for the milling process so as to produce soil that is ready for molding. In programming the OMRON CP1E NA20DR-A PLC, supporting software is needed, namely CX-ONE software. CX-ONE software is designed on the software arranged according to the working principle, the volume of the mixture between 2 liters of soil and 2 liters of water using a delta circuit then a brick dough is produced that can be used properly. The existence of this tool is expected to make it easier to produce bricks.

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