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Pelatihan Berbasis Industri Sebagai Upaya Peningkatan Kesiapan Kerja Siswa SMK Muhammadiyah 2 Tempel Bambang Sudarsono; Fatwa Tentama; Surahma Asti Mulasari; Tri Wahyuni Sukesi; Sulistyawati; Fanani Arief Ghozali; Herman Yuliansyah; Lu'lu' Nafiati; Bahtiar Wilantara
JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Vol 3 No 2 (2022)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/jurpikat.v3i2.1015

Abstract

Pengangguran siswa SMK menempati jumlah tertinggi di Indonesia. Jumlah lulusan SMK yang terus meningkat akan menimbulkan permasalah baru jika tidak diimbangi dengan peningkatan mutu kesiapan kerja. Tujuan pengabdian kepada masyarakat (PkM) ini untuk meningkatkan sikap, pengetahuan, ketrampilan kerja dan pemahaman budaya kerja industri bagi guru. PkM dilaksanakan di Muhammadiyah 2 Tempel pada bulan Agustus dan September dengan metode perencanan, pelaksanaan, penilaian, dan evaluasi. Hasil yang dicapai pada program PKM ini adalah terciptanya keaktifan peserta dalam berdiskusi.
Development and Measurement COVID-19 Reminder Hat with Ultrasonic Sensor HC-SR04 Barry Nur Setyanto; Filly Pravitasari; Pramudita Budiastuti; Fanani Arief Ghozali
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 12, No 2 (2022): Oktober
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijeis.78352

Abstract

The development of ultrasonic sensor technology used for suitable equipment is widely carried out, such as distance sticks for the blind, floor cleaning robots, automatic garbage boxes, height measuring instruments, water volume detectors, automatic dispensers, automatic hand sanitisers, etc. In the study, the researchers developed a precision device based on an ultrasonic sensor called the COVID-19 reminder hat. The research design method is research and development, using the Borg and Gall approach. COVID-19 reminder Hat was developed using Arduino nano v3, battery, buzzer, and ultrasonic sensor HC-SR04. The product design was registered with Intellectual Property in the Industrial Design category with registration number A00202102408. The measurement distance of the ultrasonic sensor on flat objects shows an average error percentage of 2.64% from 10 cm to 300 cm with a range of 10 cm. Tests on irregular objects (humans) at an angle of zero degrees and 15 degrees showed an error at a distance of more than 200 cm and stable at a distance of 150 cm. So that 150 cm is the best distance to apply to the COVID-19 reminder hat. The development results show that the product is ready to be continued in the production and sales process.