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All Journal Jurnal Sains Student Research Menulis: Jurnal Penelitian Nusantara
Jerryo Daniel Saragih
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Simulasi Sistem Pendeteksi Getaran Menggunakan Sensor Tilt Di Tinkercad Caecilia Kristiwinita Sitanggang; Jerryo Daniel Saragih; Rizki Abdillah; Arwadi Sinuraya; Desman Jonto Sinaga
Menulis: Jurnal Penelitian Nusantara Vol. 1 No. 12 (2025): Menulis - Desember
Publisher : PT. Padang Tekno Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59435/menulis.v1i12.755

Abstract

Pendeteksian getaran sangat penting untuk memantau integritas struktur, kesehatan mesin, dan sistem peringatan dini gempa bumi. Penelitian ini bertujuan untuk merancang dan mensimulasikan sistem pendeteksi getaran menggunakan sensor tilt (SW-520D) pada platform Tinkercad. Sistem mengintegrasikan mikrokontroler Arduino Uno, sensor tilt untuk mendeteksi perubahan sudut akibat getaran, buzzer sebagai peringatan suara, dan LED sebagai indikator visual. Metodologi simulasi mencakup perakitan rangkaian virtual, pemrograman logika berbasis ambang batas, serta pengujian real-time pada berbagai kondisi kemiringan. Hasil menunjukkan sistem mampu mendeteksi sudut kemiringan di atas 15° dengan waktu respons kurang dari 200 ms, mengaktifkan buzzer dan LED secara bersamaan. Sistem tetap stabil pada kondisi normal dan otomatis reset saat kembali ke posisi seimbang. Tinkercad terbukti sebagai alat prototipe yang efektif dan gratis sebelum implementasi fisik. Penelitian ini menyimpulkan bahwa pendekatan berbasis sensor tilt menawarkan solusi sederhana, andal, dan skalabel untuk pemantauan getaran pada bangunan, peralatan industri, dan aplikasi pendidikan, serta mendukung pengembangan sistem peringatan dini berbiaya rendah.
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 Arwadi Sinuraya Caecilia Kristiwinita Sitanggang Dian Putra Saragi Eduart Hotman Purba Eka Dodi Suryanto Rio Rivaldo Sinurat Rizki Abdillah SINAGA, DESMAN JONTO