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All Journal TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol G-Tech : Jurnal Teknologi Terapan
Irfa'i, Ahmad Khumedillah
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering

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ABO-Vision: Automatic Blood Type Detection with YOLOv4-Tiny and Morphological Image Processing Mubarokah, Ita; Anissa, Thia; Irfa'i, Ahmad Khumedillah
G-Tech: Jurnal Teknologi Terapan Vol 9 No 3 (2025): G-Tech, Vol. 9 No. 3 July 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v9i3.7475

Abstract

Blood is a red-colored fluid in the human body that plays a crucial role in maintaining the immune system. According to the ABO system, blood is classified into four main types: A, AB, B, and O. This classification is essential for facilitating blood transfusions. Currently, blood type determination is still performed manually by healthcare professionals, who observe the presence or absence of clumping (agglutination) in the blood when it reacts with specific antigens.Numerous studies have been conducted to support and enhance healthcare services, particularly as technological advancements continue to grow rapidly across various fields. In the medical field, these advancements have led to the development of increasingly sophisticated medical devices, including blood type detection tools. These devices typically use manual optical sensors to read blood agglutination by detecting changes in light intensity. However, such devices are not fully automated and still require human intervention, making them prone to human error. Today, automated blood type detection systems utilizing cameras and smartphones—integrated with various image processing methods and Artificial Intelligence (AI) are being increasingly developed. Therefore, this study focuses on the development of a blood type detection model that combines image processing and Deep Learning (DL) to support an intelligent, fast, and efficient healthcare system, achieving a detection accuracy of 98%.
Implementasi Desain Filter Pasif: Simulasi Perancangan Filter LCL untuk Inverter SPWM Berdasarkan Frekuensi Switching dan Distorsi Harmonik Total Irfa'i, Ahmad Khumedillah; Suryana, Ase; Pramudita, Resa; Rizqulloh, Muhammad Adli
TELKA - Telekomunikasi Elektronika Komputasi dan Kontrol Vol 10, No 3 (2024): TELKA
Publisher : Jurusan Teknik Elektro UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/telka.v10n3.215-227

Abstract

Seiring berjalanya waktu, perkembangan sumber energi listrik terbarukan dan integrasi sistem jaringan listrik berkembang sangat pesat. Kemudian, kualitas daya menurun dikarenakan kandungan distorsi harmonik ikut terinjeksi ke jaringan listrik dari sebagian besar perangkat elektronika daya yang menggunakan aplikasi inverter. Diperlukan Filter LCL yang dioptimalkan guna meningkatkan kualitas daya untuk inverter satu fasa yang terhubung dengan perangkat utilitas. Filter LCL yang dirancang dibawah batasan varisasi frekuensi swtiching minimum, distorsi harmonik total (THD), nilai induktor, dan faktor daya (cosphi). Dengan desain tersebut memberikan kinerja optimal untuk mengurangi konten harmonik. Semua hasil diperoleh melalui perhitungan, software PSIM, dan software LTspice. Hasil simulasi menunjukan distorsi harmonik total pada tegangan dan arus keluaran mengalami penurunan yang signifikan, sehingga meningkatkan kualitas daya yang lebih minim distorsi . THD tegangan sebelum melewati filter sebesar 79,52% menjadi 0,4972% setelah melewati filter LCL, sedangkan pada arus inverter yang mulanya 3,288% menjadi 0,4972% setelah melewati filter LCL. Dengan redaman distorsi harmonik total pada keluaran tegangan sebesar 99,37% dan keluaran arus 84,88%. Hasil ini memverifikasi kelayakan desain filter LCL yang di usulkan. Over time, the development of renewable electrical energy sources and the integration of power grid systems have grown rapidly. Subsequently, power quality is degraded due to harmonic distortion content injected into the power grid from most power electronic devices using inverter applications. An optimized LCL filter is required to improve the power quality for single-phase inverters connected to utility devices. The LCL filter is designed under the constraints of minimum swtiching frequency variation, total harmonic distortion (THD), inductor value, and power factor (cosphi). The design provides optimal performance to reduce the harmonic content. All results were obtained through, software PSIM, and software LTspice. The simulation results show that the total harmonic distortion in the output voltage and current has decreased significantly, thus improving the power quality with less distortion. The THD of the voltage before passing through the filter is 79.52% to 0.4972% after passing through the LCL filter, while that of the inverter current is initially 3.288% to 0.4972% after passing through the LCL filter. With a total harmonic distortion attenuation at the voltage output of 99.37% and current output of 84.88%. These results verify the feasibility of the proposed LCL filter design.
Co-Authors Anissa, Thia MUBAROKAH, ITA Muhammad Adli Rizqulloh Pramudita, Resa Suryana, Ase