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"Urgensitas dari ketersediaan oksigen yang menjadi penyokong kehidupan manusia saat manusia mengalami penyakit pernapasan akut seperti COVID-19 menjadi alasan dibuatnya konsentrator oksigen. Konsentrator yang ada pada pasaran tidak memberikan informasi terkait laju aliran dan konsentrasi oksigen yang dihasilkan oleh sistem konsentrator oksigen. Penelitian ini berhasil merancang rangkaian sistem pengendalian katup dan sensor konsentrasi oksigen dengan keseluruhan sistem konsentrator oksigen yang memiliki ukuran ringkas namun tetap memiliki performa yang baik. Laju aliran target yang ditentukan penulis dapat dicapai dalam waktu 30 detik dengan akurasi pembacaan sensor yang memiliki selisih pembacaan 0% hingga 2%. Sistem konsentrator oksigen yang sudah dirancang mampu mencapai konsentrasi oksigen 94% saat laju aliran 1 LPM, 91% saat laju aliran 1,5 LPM; dan 88% saat laju aliran 2 LPM, dan telah berhasil dirancang juga sistem pembacaan hasil keluaran sistem konsentrator oksigen dengan sensor dan ditampilkan pada layar yang terdapat pada rangkaian.

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The urgency of the availability of oxygen which supports human life when humans experience acute respiratory illnesses such as COVID-19 is the reason for the creation of oxygen concentrators. Oxygen concentrators on the market do not provide information regarding the flow rate and oxygen concentration produced by the oxygen concentrator system. This research successfully designed a series of valve control systems and oxygen concentration sensors with an overall oxygen concentrator system that is compact but still performs well. The target flow rate determined by the author can be achieved within 30 seconds with sensor reading accuracy that has a reading difference of 0% to 2%. The system oxygen concentrator system that has been designed can achieve an oxygen concentration of 94% at a flow rate of 1 L/M, 91% at a flow rate of 1,5 LPM, and 88% at a flow rate of 2 LPM. The system has also been successfully designed to read the output results of the oxygen concentrator system with sensors and display them on the screen in the circuit.

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"Prematuritas merupakan salah satu factor dari kematian bayi. Resiko yang mungkin terjadi akibat prematuritas adalah bradikardia dan takikardia, dimana terjadi kelainan pada frekuensi denyut jantung, oleh karena itu diperlukan pemantauan denyut jantung secara real time. Pada skripsi ini akan dibahas penelitian dalam membangun perangkat pemantau denyut jantung secara real time dan kontinu dengan memanfaatkan stetoskop. Perangkat ini tersusun atas stetoskop, mikrofon kondenser elektret, rangkaian pengkondisi sinyal, dan mikrokontroler Arduino UNO. Pengujian perangkat dilakukan dengan memasang stetoskop baik pada dada maupun punggung subjek untuk menangkap sinyal denyut jantung. Setelah itu, sinyal denyut jantung dikirim ke mikrofon elektret yang dilengkapi rangkaian pre-amplifier dengan penguatan sebesar 100 kali. Sinyal detak jantung yang masih terdapat noise selanjutnya diproses oleh pengkondisi sinyal yang terdiri dari buffer, filter frekuensi cut-off sebesar 0,48Hz dan 1,59Hz dan amplifier. Sinyal denyut jantung yang keluar dari rangkaian pengkondisi sinyal diproses dengan mikrokontroler Arduino UNO R3 dan ditampilkan pada LCD dalam beat per minute BPM.

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Prematurity is one of the factors of infant mortality. Risks that may occur due to prematurity are bradycardia and tachycardia, where there are abnormalities in the frequency of heart rate. Therefore it is necessary to monitor the heartbeat in real time. In this research is discussed about building a heart rate monitoring device in real time and continuous by utilizing stethoscope. This device is composed of stethoscope, electro condenser microphone, signal conditioning circuit, and Arduino UNO microcontroller.

The experiment is done by installing a stethoscope both on the subject 39 s chest and back to capture the heartbeat signal. After that, the heartbeat signal is sent to an electro microphone equipped with a pre amplifier circuit with a gain of 100 times. The remaining heartbeat signal is then processed by signal conditioners consisting of buffers, filters cut off frequencies of 0.48Hz and 1.59Hz and amplifiers. The heartbeat signal coming out of the signal conditioning circuit is processed by Arduino UNO R3 microcontroller and displayed on the LCD in beat per minute BPM."

"This book discusses the latest advances in manufacturing and process control, with a special emphasis on digital manufacturing and intelligent technologies for manufacturing and industrial processes control. The human aspect of the developed technologies and products, their interaction with the users, as well as sustainability issues, are covered in detail. Development of new products using 3D printers, rapid prototyping systems, remote fabrication, and other advanced techniques, is described in detail, highlighting the state-of-the-art and current challenges. Other key topics include digital modeling systems and additive manufacturing, together with their applications in a number of fields, e.g in bioengineering/biomedicine, in the aerospace, maritime and military fields or for archeological and historical purposes, such as preserving structures, but not limited to this. The book is based on three AHFE 2018 affiliated conferences i.e. the AHFE 2018 International Conference on Advanced Production Management and Process Control, the AHFE 2018 International Conference on Human Aspects of Advanced Manufacturing, and the AHFE 2018 International Conference on Additive Manufacturing, Modeling Systems and 3D Prototyping, which were held on July 21-25, 2018, in Orlando, Florida, USA."