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Rio Rivaldo Sinurat
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Evaluasi Respon Dinamis Konverter Cascaded Buck-Boost Tiga Unit Menggunakan Pendekatan Simulasi di MATLAB/Simulink Rio Rivaldo Sinurat; Christoper Alfredo Laoli; Arga Sakti Oktavianus Sihombing; Desman Jonto Sinaga; Arwadi Sinuraya
JOURNAL SAINS STUDENT RESEARCH Vol. 3 No. 6 (2025): Jurnal Sains Student Research (JSSR) Desember
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jssr.v3i6.6995

Abstract

Konverter DC-DC tipe buck-boost banyak digunakan pada sistem daya karena kemampuannya untuk menaikkan maupun menurunkan tegangan sesuai kebutuhan beban. Namun, pada aplikasi yang membutuhkan rentang pengaturan tegangan yang lebih luas serta stabilitas yang tinggi, konfigurasi satu tahap seringkali tidak mencukupi. Oleh karena itu, penelitian ini mengevaluasi respon dinamis konverter cascaded buck-boost tiga unit menggunakan pendekatan simulasi pada MATLAB/Simulink. Setiap unit konverter dihubungkan secara seri untuk meningkatkan fleksibilitas pengaturan tegangan keluaran. Analisis dilakukan dengan mengamati perubahan tegangan keluaran terhadap variasi duty cycle dan pembebanan untuk menilai karakteristik transien dan kestabilan sistem. Hasil simulasi menunjukkan bahwa konfigurasi cascaded mampu menghasilkan tegangan keluaran yang stabil dengan respon transien yang terkendali, meskipun sensitivitas terhadap variasi duty cycle meningkat seiring bertambahnya jumlah tahap. Dengan demikian, topologi cascaded buck-boost tiga unit dapat diterapkan pada sistem tenaga DC yang membutuhkan pengaturan tegangan adaptif dan luas. Kata kunci: Konverter DC-DC, Buck-Boost, Cascaded Converter, Respon Dinamis, Simulasi MATLAB.
DESAIN DAN IMPLEMENTASI SISTEM BANTU BLIND SPOT MENGGUNAKAN SENSOR ULTRASONIK, PIR, LDR, DAN IMU PADA KENDARAAN BERAT Eduart Hotman Purba; Jerryo Daniel Saragih; Rio Rivaldo Sinurat; Eka Dodi Suryanto; Dian Putra Saragi
JOURNAL SAINS STUDENT RESEARCH Vol. 4 No. 2 (2026): April
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jssr.v4i2.9506

Abstract

Accidents involving large vehicles such as trucks are often caused by blind spots that restrict the driver’s view. This research aims to develop a mictocontroller-based blind spot detection system capable of detecting objects, distinguishing between humans and inanimate objects, and adjusting detection system capable of detecting objects, distinguishing between humans and inanimate objects, and adjusting detection sensitivity according to environmental conditions. This system uses an Arduino Uno as the main controller, integrated with two ultrasonic sensors to detect the distance of objects in front and behind the vehicle. The Passive Infrared (PIR) sensor detects the presence of humans based on body heat radiation, while the Light Dependent Resistor (LDR) sensor sets the detection threshold to 30 cm in bright conditions and 50 cm in dark conditions. The Inertial Measurement Unit (IMU) sensor makes the system active only when the vehicle is moving, thus saving power. The results show that the system detects objects with high accuracy within the specified distance range, correctly distinguishes humans, and responds well to changes in light and vehicle movement. This system is expected to be an effective solution to improve driving safety in large vehicles through early warning in blind spot areas.
Co-Authors Arga Sakti Oktavianus Sihombing Arwadi Sinuraya Christoper Alfredo Laoli Dian Putra Saragi Eduart Hotman Purba Eka Dodi Suryanto Jerryo Daniel Saragih SINAGA, DESMAN JONTO