Abstrak— Rendahnya kemampuan peserta didik dalam memahami konsep-konsep abstrak dalam proses pembelajaran memerlukan adanya solusi berupa penerapan alat peraga sehingga meningkatkan motivasi dan prestasi belajar. Dalam penelitian ini dikembangkan alat ukur untuk menentukan kelajuan bunyi di udara menggunakan sensor ultrasonik berbasis Arduino. Metode rancang bangun alat ukur terdiri dari perangkat keras (hardware) dan perangkat lunak (sotfware). Rancang bangun alat ukur laju bunyi di udara dikembangkan dengan memanfaatkan gelombang ultrasonik sebesar 40 kHz yang dibangkitkan oleh sensor ultrasonik tipe HY-SRF05. Hasil penelitian menunjukkan bahwa alat ukur yang telah dikembangkan mampu mengukur laju bunyi di udara pada suhu 250C. Hasil pengukuran laju bunyi di udara yang diperoleh menggunakan alat ukur yang dikembangkan adalah sebesar 348,3 m/s dengan persentase error sebesar 2,29%..Kata kunci: laju bunyi, sensor ultrasonik, ArduinoAbstract— Students’ ability which is very low in comprehending the abstract concepts in learning needs a solution in the form of designing learning media that can be used to improve students’ motivation and learning achievements. In this study, a learning media was designed to determine the sound speed on the air using ultrasonic sensor based on Arduino. The methods of the designed learning media consist of hardware and software devices. The media designed for measuring sound speed on the air was improved using 40 𝑘𝐻𝑧 ultrasonic wave which is supported by ultrasonic sensor HY-SRF05. The result of the study showed that the designed media could measure the sound speed on the air on 250C degree. The result of sound speed measurement was gained using the designed media was 348,3 𝑚/𝑠 with error percentage was 2,29%.. Keywords: sound speed, ultrasonic sensor, Arduino
Coronavirus yang merajalela pada tahun 2019 (Covid19) mempunyai karakteristik mudah menular, sehingga menjadikan virus ini sangat berbahaya. Meskipun Vaksin sudah ditemukan, protokol kesehatan masih harus diterapkan setidaknya selama 4 tahun kedepan. Salah satu protokol kesehatan yaitu selalu mencuci tangan dengan air mengalir dan sabun. Akan tetapi pada saat mencuci tangan, orang akan tetap menyentuh keran air dan botol sabun, padahal hal ini sangat berpotensi menjadi salah satu media penularan virus. Oleh karena itu penelitian ini bertujuan untuk menghindari sentuhan fisik saat mencuci tangan. Alat ini dilengkapi dengan portal pendeteksi suhu yang berfungi melakukan screening untuk memastikan orang yang akan masuk tidak sedang mengalami demam. Pengembangan teknologi dalam penelitian ini menggunakan metode rancang bangun (research and development). Desain yang dibuat mempertimbangkan Antropometri orang Indonesia. Sehingga Teknologi Tepat Guna (TTG) tersebut dapat memberikan rasa nyaman dan aman saat digunakan. Dari hasil pengujian alat, menunjukkan sensor MLX90614 (temperatur) memiliki tingkat kesalahan rata-rata pengukuran sebesar 0.213ºC atau sekitar 0.58%, sedangkan sensor PIR (jarak) memiliki tingkat sukses 90%. Secara keseluruhan sistem otomatis pada wastafel dan portal dapat berjalan dengan baik.The Coronavirus spread in early 2019 (Covid19) has characteristics of being easily transmitted, making this virus very dangerous. Even though the vaccines has been found, health protocols still have to be implemented for at least the next 4 years. One of the health protocols is washing hands with running water and soap. However, when washing hands, people still touch the water tap and soap bottles, even though this could potentially be a virus transmission media. Therefore, this study aims to avoid physical touch when washing hands. This tool is equipped with a temperature detector portal that functions to ensure that people who enter, do not have a fever. The technology development in this research uses research and development methods. The sink design is made considering Indonesian Anthropometry. Thus Appropriate Technology (TTG) can provide a sense of comfort and safety when used. From the test results, it shows that the MLX90614 sensor (temperature) has an average measurement error rate of 0.213ºC or about 0.58%. while the PIR (distance) sensor has a success rate of 90%. Overall the automatic system on the sink and portal can work well.
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