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All Journal Traksi : Majalah Ilmiah Teknik Mesin Jurnal Buana Informatika Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Silampari Jurnal Pendidikan Ilmu Fisika Abdimas Altruis: Jurnal Pengabdian Kepada Masyarakat J-Innovation
Bernardinus Sri Widodo
Universitas Sanata Dharma
Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Physics Social Sciences Other

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Aplikasi Wavelet Untuk Penghilangan Derau Isyarat Elektrokardiograf Widodo, Bernardinus Sri
Jurnal Buana Informatika Vol 2, No 2 (2011): Jurnal Buana Informatika Volume 2 Nomor 2 Juli 2011
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (223.127 KB)

Abstract

Abstract. Wavelet Application For Denoising Electrocardiograph Signal. Wavelet has the advantage of the ability to do multi resolution analysis in which one of its applications is to diminish noises. The major wavelet was selected and some experiments were conducted to find out the scale from 1 to 6. Furthermore, some other continuous experiments were carried out to determine the level of optimal decomposition and wavelet reconstruction. From the research, the findings showed that the selection of the scale from 1-6 did not influence the result significantly. On the other side, from the experiment of the selection of decomposition and reconstruction level, the eighth level was the most optimum level. The result of diminishing noises on the EKG signals using wavelet was slightly seen. From 48 data samples, the average of diminishing noises was 36.20 dB. Keywords: Signal Processing, Wavelet Application, ECG denoising   Abstrak. Wavelet memiliki keuntungan dari kemampuan untuk melakukan analisis multi-resolusi di mana salah satu aplikasi adalah untuk mengurangi suara. Wavelet utama adalah dipilih dan beberapa eksperimen dilakukan untuk mengetahui skala dari 1 sampai 6. Selain itu, beberapa percobaan kontinyu lainnya dilakukan untuk menentukan tingkat dekomposisi dan rekonstruksi wavelet yang optimal. Dari penelitian, temuan menunjukkan bahwa pemilihan skala 1-6 tidak mempengaruhi hasil secara signifikan. Di sisi lain, dari eksperimen pemilihan tingkat dekomposisi dan rekonstruksi, tingkat kedelapan tingkat yang paling optimal. Hasil suara mengurangi pada sinyal EKG menggunakan wavelet sedikit terlihat. Dari 48 sampel data, rata-rata suara berkurang adalah 36,20 dB. Kata Kunci: Pengolahan Sinyal, Aplikasi Wavelet, EKG denoising
Aplikasi Wavelet Untuk Penghilangan Derau Isyarat Elektrokardiograf Widodo, Bernardinus Sri
Jurnal Buana Informatika Vol 2, No 2 (2011): Jurnal Buana Informatika Volume 2 Nomor 2 Juli 2011
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (223.127 KB) | DOI: 10.24002/jbi.v2i2.312

Abstract

Abstract. Wavelet Application For Denoising Electrocardiograph Signal. Wavelet has the advantage of the ability to do multi resolution analysis in which one of its applications is to diminish noises. The major wavelet was selected and some experiments were conducted to find out the scale from 1 to 6. Furthermore, some other continuous experiments were carried out to determine the level of optimal decomposition and wavelet reconstruction. From the research, the findings showed that the selection of the scale from 1-6 did not influence the result significantly. On the other side, from the experiment of the selection of decomposition and reconstruction level, the eighth level was the most optimum level. The result of diminishing noises on the EKG signals using wavelet was slightly seen. From 48 data samples, the average of diminishing noises was 36.20 dB. Keywords: Signal Processing, Wavelet Application, ECG denoising   Abstrak. Wavelet memiliki keuntungan dari kemampuan untuk melakukan analisis multi-resolusi di mana salah satu aplikasi adalah untuk mengurangi suara. Wavelet utama adalah dipilih dan beberapa eksperimen dilakukan untuk mengetahui skala dari 1 sampai 6. Selain itu, beberapa percobaan kontinyu lainnya dilakukan untuk menentukan tingkat dekomposisi dan rekonstruksi wavelet yang optimal. Dari penelitian, temuan menunjukkan bahwa pemilihan skala 1-6 tidak mempengaruhi hasil secara signifikan. Di sisi lain, dari eksperimen pemilihan tingkat dekomposisi dan rekonstruksi, tingkat kedelapan tingkat yang paling optimal. Hasil suara mengurangi pada sinyal EKG menggunakan wavelet sedikit terlihat. Dari 48 sampel data, rata-rata suara berkurang adalah 36,20 dB. Kata Kunci: Pengolahan Sinyal, Aplikasi Wavelet, EKG denoising
Aplikasi Wavelet Untuk Penghilangan Derau Isyarat Elektrokardiograf Bernardinus Sri Widodo
Jurnal Buana Informatika Vol. 2 No. 2 (2011): Jurnal Buana Informatika Volume 2 Nomor 2 Juli 2011
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jbi.v2i2.312

Abstract

Abstract. Wavelet Application For Denoising Electrocardiograph Signal. Wavelet has the advantage of the ability to do multi resolution analysis in which one of its applications is to diminish noises. The major wavelet was selected and some experiments were conducted to find out the scale from 1 to 6. Furthermore, some other continuous experiments were carried out to determine the level of optimal decomposition and wavelet reconstruction. From the research, the findings showed that the selection of the scale from 1-6 did not influence the result significantly. On the other side, from the experiment of the selection of decomposition and reconstruction level, the eighth level was the most optimum level. The result of diminishing noises on the EKG signals using wavelet was slightly seen. From 48 data samples, the average of diminishing noises was 36.20 dB. Keywords: Signal Processing, Wavelet Application, ECG denoising   Abstrak. Wavelet memiliki keuntungan dari kemampuan untuk melakukan analisis multi-resolusi di mana salah satu aplikasi adalah untuk mengurangi suara. Wavelet utama adalah dipilih dan beberapa eksperimen dilakukan untuk mengetahui skala dari 1 sampai 6. Selain itu, beberapa percobaan kontinyu lainnya dilakukan untuk menentukan tingkat dekomposisi dan rekonstruksi wavelet yang optimal. Dari penelitian, temuan menunjukkan bahwa pemilihan skala 1-6 tidak mempengaruhi hasil secara signifikan. Di sisi lain, dari eksperimen pemilihan tingkat dekomposisi dan rekonstruksi, tingkat kedelapan tingkat yang paling optimal. Hasil suara mengurangi pada sinyal EKG menggunakan wavelet sedikit terlihat. Dari 48 sampel data, rata-rata suara berkurang adalah 36,20 dB. Kata Kunci: Pengolahan Sinyal, Aplikasi Wavelet, EKG denoising
Rancang Bangun Sistem Terapi Infrared Otomatis Untuk Terapi Far-Infrared Pada Spinal Cord Eko Arianto; Bernardinus Sri Widodo
J-Innovation Vol. 11 No. 1 (2022): Jurnal J-Innovation
Publisher : Politeknik Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (302.573 KB) | DOI: 10.55600/jipa.v11i1.127

Abstract

Infrared therapy is a therapy that is mostly done by utilizing the effects of heat generated on the human body, especially on the surface of the skin that is directly exposed. There are several types of infrared but the most commonly used for therapy is far-infrared (FIR). The dose of infrared therapy varies with a range of 10-45 minutes and is carried out several times a week. In Indonesia, most infrared therapy uses a portable infrared lamp. In infrared therapy, there are several things that must be done, such as keeping the infrared lamp distance from the patient's body, maintaining therapy time, and adjust position to the location that needs therapy. There are three parameters that must always be monitored and controlled: distance, time, and position. To adjust these three parameters with a fairly long duration of therapy, it is quite tiring for the therapist or people who help the therapy. With these problems, an automatic infrared therapy system will be very helpful. The design of the automatic infrared therapy system can help solve existing problems such as being able to control the timer, distance, and position of infrared therapy. The infrared therapy system that has been successfully created can work well. The proximity sensor works accurately, the motion mechanism and the timer also work well. Keywords: automatic infrared therapy, automatic therapy, infrared therapy, FIR therapy
BLUETOOTH CONTROL SYSTEM ON ELECTRIC WHEELCHAIRS USING VOICE RECOGNITION Eko Arianto; Bernardinus Sri Widodo; Antonius Hendro Noviyanto; Nugroho Budi Wicaksono; Agatha Mahardika Anugrayuning Jiwatami
TRAKSI Vol 23, No 1 (2023): TRAKSI
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/traksi.23.1.2023.%p

Abstract

Currently technology is highly developed and supports many new innovations. The most innovation is wireless technology and voice recognition. One of the widely used wireless technology is Bluetooth. By utilizing Bluetooth connectivity and voice recognition applications on smart phones, it can be used to control electronic equipment. In this study, voice recognition applications and Bluetooth connections will be used on smart phones to control electric wheelchairs. This research begins with designing an electric wheelchair. For Bluetooth communication using the HC-05 Bluetooth module. The wheelchair was developed by modifying conventional wheelchairs to become electric. The user or patient will control the wheelchair using his smart phone through the voice recognition application. Commands in the form of voice that will be sent by the smart phone and received by the HC-05 Bluetooth module, then become input for the Arduino microcontroller. The microcontroller will then process the input data and will instruct the motor driver to give instructions to the wheelchair driving motor. The electric wheelchair's voice control system with a Bluetooth connection can work quite well. The Bluetooth connection used in this electric wheelchair voice control system works optimally and well at a distance of <10 meters, the connection starts to drop at a distance of 10 to 23 meters, and the connection is lost when the distance is 30 meters. The results of the voice recognition test on voice commands were successful with an accuracy of 85%. The total test is 100 orders with a total error of 15 orders.
Studi Awal Teknik Perekaman Citra pada Perangkat Medis untuk Efisiensi Distribusi Citra Medis Bernardinus Sri Widodo; Agatha Mahardika Anugrayuning Jiwatami
SILAMPARI JURNAL PENDIDIKAN ILMU FISIKA Vol 5 No 1 (2023): Silampari Jurnal Pendidikan Ilmu Fisika (SJPIF)
Publisher : LPPM UNIVERSITAS PGRI SILAMPARI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31540/sjpif.v5i1.1896

Abstract

Medical imaging is one method that is widely used to provide information about the physical parts of the body for diagnosis and therapy. This research is an initial study to find appropriate technology to record medical imaging results in the form of photos and videos so that they are ready to be distributed to support the telemedicine process. This research was conducted by studying literature on the equipment that might be used for the screen capture process, followed by making a prototype of the tool to be used as FGD material. During the FGD process, discussions were held with radiology specialists and gynecologists, nurses and technicians to find out the impact of this tool. The results show that it is possible to distribute medical images using screen capture techniques. This research is the first step for the development of medical image distribution.
PEMBUATAN PANDUAN DIGITAL UNTUK PENDAMPINGAN IMPLEMENTASI APLIKASI AKUNTANSI SISTEM KEUANGAN BAGI KONGREGASI SUSTER-SUSTER AMAL KASIH DARAH MULIA Effendi, Sukma Meganova; Widodo, Bernardinus Sri; Sinaga, Klemensia Erna Christina; Anurogo, Baskoro Latu; Yudianti, Ninik; Ria, Angelita Martina Loy; Agustinus, Kevin
ABDIMAS ALTRUIS: Jurnal Pengabdian Kepada Masyarakat Vol 7, No 1 (2024): April 2024
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/aa.v7i1.5827

Abstract

Users of the Financial System in this community service activity are Congregation of Sisters of Charity of Noble Blood (ADM). They have a variety of ages and educational backgrounds, so most users do not really understand how to operate and categorize transactions according to transaction codes. This activity is held to help users using the Financial System by making digital guides. The method used is this activity is the discussion method by evaluating the Financial System which has been used in exploring problems, making digital guides (documents and videos), adding digital guides to the Financial System, and socializing the Financial System which has added digital guides. As a result, there are two digital guidance documents. The first is a Chart of Account (COA) book which contains transaction codes and the second is a Manual Book which contains how to operate the Financial System. The other results, there are two video tutorials that explain the entire operation method and especially, the transaction and report sections. The digital guide that has been added to the Financial System is quite helpful for users in operating it, where 13 respondents gave the most ratings in very good, good, and good enough conditions.
Early Mobilization Therapy Robot for Medical Rehabilitation Purpose Sutyasadi, Petrus; Parikesit, Elang; Widodo, Bernardinus Sri
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 11 No. 1 (2025): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v11i1.30383

Abstract

Impairments in ambulation may result from neurological dysfunction. The expense of therapy constitutes a substantial obstacle to recovery following neurological disorders. An uncomplicated and cost-effective two-degree-of-freedom early mobilization trainer robot has been conceived and constructed. This device is intended for early training or adaptation before ready for mobilization training on the ground. The early mobilization trainer assists persons with mobility impairments during their early therapy phase. This research analyses the design and construction of an early mobilization trainer positioned within the patient's bed. The experimental findings indicate that in the condition with load at the hip joint, the output of this device can follow the trajectory input precisely. For the knee joint, the output of this device can follow the trajectory input, but with 0.9 degree of a steady-state error. This amount of steady state error does not affect the therapy because it is too small in term of knee movement precision during therapy.
Co-Authors Agatha Mahardika Anugrayuning Jiwatami Agustinus, Kevin Anurogo, Baskoro Latu Effendi, Sukma Meganova Eko Arianto Eko Arianto Elang Parikesit Klemensia Erna Christina Sinaga Nugroho Budi Wicaksono Petrus Sutyasadi Ria, Angelita Martina Loy RR. Ella Evrita Hestiandari Yudianti, Ninik