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Optimization of triple-junction hydrogenated silicon solar cell nc-Si:H/a-Si:H/a-SiGe:H using step graded Si1‑xGex layer Nji Raden Poespawati; Rizqy Pratama Rahman; Junivan Sulistianto; Retno Wigajatri Purnamaningsih; Tomy Abuzairi
Bulletin of Electrical Engineering and Informatics Vol 10, No 2: April 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v10i2.2765

Abstract

This paper shows the attempt to increase the performance of triple-junction hydrogenated silicon solar cells with structure nc-Si:H/a-Si:H/a-SiGe:H. The wxAMPS software was used to simulate and optimize the design. In an attempt to increase the performance, an a-SiC:H layer on the p-layer was replaced with an a-Si:H layer and an a-SiGe layer was replaced with a step graded Si1-xGex layer. Then, to achieve the best performing device, we optimized the concentration of germanium and thickness of the step graded Si1-xGex layer. The result shows that the optimum concentration of germanium in the p-i upper layer and i-n lower layer are 0.86 and 0.90, respectively and the optimum thicknesses are 10 nm and 230 nm, respectively. The optimized device performed with an efficiency of 19.08%, adding 3 more percent of efficiency from the original design. Moreover, there is a significant possibility of increasing the efficiency of a triple-junction solar cell by modifying it into a step graded Si1-xGex layer.
Design of Real-Time Aquarium Monitoring System for Endemic Fish on the Smartphone Naufal Inas Fikri; Vito Louis Nathaniel; Muchamad Syahrul Gunawan; Tomy Abuzairi
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 7, No 2 (2021): August
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v7i2.21137

Abstract

The high rate of decreasing population of endemic fish species is becoming more severe over time. Therefore, it needed an effort to bring back the stability of the number. One of the reasons for the decreasing population is the changing environment due to climate change and the difficulty of treatment for this species. This research aims to design an aquarium monitoring system for endemic fish. The main components for this system are microcontroller ESP32 DOIT, Temperature Sensors DS18B20, DF Robot Analog pH Sensors, ESP32 Cam, UV Lamp, and Blynk server. The experiment was conducted by monitoring the aquarium environment using sensors and comparing it with the reference sensors. With a monitoring system, we can find out whether the current condition of the aquarium is in accordance with the fish's living environment or not. The monitoring results show that the average error for temperature is 0.14% and for pH is 0.67%. These results indicate that the prototype sensors are linear with reference sensors. Besides that, a real-time monitoring system is easy to use and more attractive because of smartphone utilization to monitor fish with a camera and lamp.
Pulse Oximeter Monitoring Bracelet for COVID-19 Patient using Seeeduino Rahmalisa Suhartina; Tomy Abuzairi
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 7, No 1 (2021): April
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v7i1.20529

Abstract

The increase in positive cases of COVID-19 makes it grave to monitor the level of oxygen saturation in the blood (SPO2) of COVID-19 patients. The purpose is to prevent silent hypoxia, which lowers oxygen levels in the blood without symptoms. In general, a conventional pulse oximeter is a clip that is clamped on a finger to measure SPO2 levels and heart rate per minute (HR). This research aims to design a compact pulse oximeter monitoring bracelet. The main components of the pulse oximeter monitoring bracelet are the Seeeduino XIAO microcontroller, MAX30100 sensor, and OLED display. The method of collecting data on ten people using a conventional pulse oximeter and prototype device to measure SPO2 and HR levels the interval 30 seconds were a taken measurement. The results show that the Pearson correlation value for SPO2 and HR are -0.73 and 0.98, respectively. These results demonstrated that there is a strong relationship between variables and sufficient linearity. In addition, a pulse oximeter monitoring bracelet is easy to use and low-costs, which makes it an attractive option for the successful implementation of such monitoring SPO2 and HR of COVID-19 patients.
Implementasi Convolutional Neural Network Untuk Deteksi Nyeri Bayi Melalui Citra Wajah Dengan YOLO Tomy Abuzairi; Nurdina Widanti; Arie Kusumaningrum; Yeni Rustina
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 5 No 4 (2021): Agustus 2021
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (537.602 KB) | DOI: 10.29207/resti.v5i4.3184

Abstract

Pain in a baby is difficult to detect is because the method for detecting pain is self-reporting even though babies themselves still cannot describe the pain verbally, then by observing changes in behavior in the form of facial expressions. Statistically, it is also recorded that about 80% of the world's population pays less attention to pain assessment, especially for children, even though this pain gives children a bad experience so that it can interfere with pain responses in the future or psychological trauma. Based on these problems, a prototype system was made using the NVIDIA Jetson Nano Developer kit to help detect pain, especially in infants 0-12 months by using the Convolutional Neural Network (CNN) model with the PyTorch framework and the You Only Look Once (YOLO) algorithm with three detection classification is sad, neutral and sick. From the results of the study, it was found that the YOLO algorithm was able to detect the three classifications with a sad mAP value of 77.8%, neutral 76.7%, in pain 68.9%. With a precision value of 71.4%, recall 62.5% and f1-score 66.6%. The average value of Confidence is 53.57%.
Effect of Cold Plasma Treatment on Physical Properties of Multilayer Plastics for Polymer Asphalt Applications Dimas Agung Setiaji; Mochamad Chalid; Tomy Abuzairi; Maurice Efroza; Adam Febriyanto Nugraha
Piston: Journal of Technical Engineering Vol 6, No 1 (2022)
Publisher : Prodi Teknik Mesin

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (161.847 KB) | DOI: 10.32493/pjte.v6i1.20771

Abstract

Multilayer plastic waste continues to increase due to the ever-growing consumption and needs of the global citizen and is one of the most challenging types of waste to recycling because of its nature. The accumulation and indiscriminate disposal of waste can pose a potential risk of environmental problems. A solution that can be implemented is to mix bitumen and waste polymer as asphalt manufacturing. Despite its advancement in research, many potential parameters are still to be discovered to achieve optimal results. Through cold plasma treatment, a surface treatment may occur at the multilayer polypropylene that causes the change from hydrophobic to hydrophilic properties. Treating the polymer with cold plasma will provide good hydrophilic properties without changing the overall chemical and thermal properties of the sample. This will result in an alternative aggregate for the bitumen for asphalt manufacturing. Bitumen coupled with the addition of plastic still provides an optimal hardness and ductility, meanwhile having a more economically viable manufacturing process than other processes.
Synthesis of Tungsten Oxide Nanowires onto ITO Glass Using T-CVD Abuzairi, Tomy; Huang, Bohr-Ran; Lin, Tzu-Ching
Makara Journal of Technology Vol. 17, No. 3
Publisher : UI Scholars Hub

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

Abstract

Tungsten oxide is an n-type semiconductor with interesting physical and chemical properties that make it suitable for various technological applications. Tungsten oxide nanowires were synthesized not only at low temperature but also without the use of any catalysts. The tungsten oxide nanowires were synthesized at 550 °C with tungsten layers onto the ITO glass using thermal chemical vapor deposition (T-CVD). The SEM image shows that the tungsten oxide nanowires are effectively grown with the 200 nm tungsten film. The Raman spectra shoulder at ~690 cm-1 proves the synthesized of tungsten oxide nanowires.
Efficiency Comparison of Asynchronous and Synchronous Buck Converter with Variation in Duty Cycle and Output Current Ralfi Wibowo Rachmad; Tomy Abuzairi
Buletin Ilmiah Sarjana Teknik Elektro Vol. 5 No. 1 (2023): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v5i1.7386

Abstract

There are two most commonly used topologies in buck converter applications, asynchronous and synchronous buck converter. These two topologies have its own advantages and disadvantages from a performance point of view. The difference in performance, especially in the aspect of efficiency need to be addressed further, knowing the efficiency is a crucial aspect of buck converter application. In this study, the comparison of asynchronous and synchronous topology in terms of its efficiency will be analyzed using software simulation and hardware prototypes. Software simulation will be used to validate the workings of buck converter prototypes by comparing its characteristics against the hardware prototypes. Furthermore, the performance between both topologies will be analyzed under various operating conditions. Based on the results obtained in this study, when the applied duty cycle is low, for instance in 30% duty cycle and both converters operate at the lowest current, the asynchronous topology have a better efficiency of 19.15% against the synchronous topology, however, when both converters operate at the highest current, the synchronous topology shows its efficiency advantage of 6.56% against the asynchronous topology. On the other hand, in a higher duty cycle operation, for example in 80% duty cycle, both converters have an insignificant difference of efficiency.
Effect of Cold Plasma Treatment on Physical Properties of Multilayer Plastics for Polymer Asphalt Applications Dimas Agung Setiaji; Mochamad Chalid; Tomy Abuzairi; Maurice Efroza; Adam Febriyanto Nugraha
Piston: Journal of Technical Engineering Vol 6, No 1 (2022)
Publisher : Prodi Teknik Mesin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/pjte.v6i1.20771

Abstract

Multilayer plastic waste continues to increase due to the ever-growing consumption and needs of the global citizen and is one of the most challenging types of waste to recycling because of its nature. The accumulation and indiscriminate disposal of waste can pose a potential risk of environmental problems. A solution that can be implemented is to mix bitumen and waste polymer as asphalt manufacturing. Despite its advancement in research, many potential parameters are still to be discovered to achieve optimal results. Through cold plasma treatment, a surface treatment may occur at the multilayer polypropylene that causes the change from hydrophobic to hydrophilic properties. Treating the polymer with cold plasma will provide good hydrophilic properties without changing the overall chemical and thermal properties of the sample. This will result in an alternative aggregate for the bitumen for asphalt manufacturing. Bitumen coupled with the addition of plastic still provides an optimal hardness and ductility, meanwhile having a more economically viable manufacturing process than other processes.
Effect of Filters in Photoplethysmography Analog Signals Using Open-Source LTspice Software Pandi; Tomy Abuzairi
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 2 No. 1 (2024)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v2i1.32

Abstract

Analog signal processing plays a crucial role in the realm of biomedical signal analysis. This study investigates the application of analog signal processing techniques in the domain of biomedical signals, focusing on enhancing the quality and reliability of recorded physiological data. The primary emphasis is on the implementation of analog filters and amplifiers to address challenges such as noise reduction, signal conditioning, and overall signal improvement. The processing of physiological signals, such as photoplethysmography (PPG), necessitates the use of amplifiers and filters within a range of 0.4 to 5Hz. Signal noise can stem from various sources, including the test subject’s muscle movement, respiration, humming, power line interference, or even from the device itself. The research methodology involves a comparison of 3 different order of Butterworth filter circuits and their impact on the signal. The test input signal is derived from an SpO$_2$ simulator, read by a standard PPG sensor, and processed by the internal 12-bit ADC of Nucleo-F429ZI. The resulting data is stored in CSV format for subsequent use in filter design simulations with SPICE. For analog circuit designers, the utilization of SPICE in the form of LTspice proves invaluable. This open software, LTspice, boasts a simple yet powerful interface, facilitating a focus on the conceptualization and performance of the design
Simple Simulation of Perturb and Observe MPPT Algorithm on Synchronous Buck Converter Tomy Abuzairi; Ralfi Wibowo Rachmad
Buletin Ilmiah Sarjana Teknik Elektro Vol. 5 No. 4 (2023): December
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v5i4.9347

Abstract

The efficiency of the PV system can be improved by operating the solar panel on its Maximum Power Point (MPP). However, ariations in irradiance and temperature will lead to the shifting of solar panel MPP. To continuously operate the solar panel near its MPP, a tracking algorithm is needed. In this research, a model consisting of a synchronous buck converter and a Maximum Power Point Tracking (MPPT) algorithm will be designed as aMATLAB/Simulink model. Perturb and Observe technique will be used to implement the algorithm into the synchronous buck converter, which will control a 10 W solar panel load so it will operate near its MPP. Results show that the PV system model can track the Solar Panel MPP in various simulated irradiance.