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All Journal INTEGER: Journal of Information Technology Building of Informatics, Technology and Science
Lubabsyah, Ahmad Naufal
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Computer Science & IT

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Sistem Pengukuran Detak Jantung Berbasis Visual Menggunakan Plane Orthogonal to Skin dan Peak Nasrudien, Fahmi; Yulian, Dhany Eka; Lubabsyah, Ahmad Naufal; Firmansyah, Riza Agung; Pambudi, Wahyu Setyo
Building of Informatics, Technology and Science (BITS) Vol 4 No 3 (2022): December 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i3.2585

Abstract

Measurement of vital signs is a procedure that is usually done when health workers carry out screening. The vital signs in question include body temperature, heart rate, blood pressure, oxygen saturation and others. The equipment used to measure these vital signs should generally be touched to the subject (by contact). However, due to the COVID-19 pandemic, contact measurements need to be avoided. So it is necessary to make a non-contact measuring system for vital signs. In this study, the only vital signs measured were heart rate. In this study it is proposed to make a non-contact heart rate meter with a plane orthogonal to skin (POS) that uses a peak detection algorithm to determine the heart rate value. In general, the POS method using the fast Fourier transform (FFT) requires longer data which makes the process take longer. So in this study, a peak detection algorithm will be used to calculate the heart rate value that has been extracted using POS which has a faster process. Based on the testing of the POS-FFT method and the POS-peak detection method, it was found that POS-peak detection gave stable results at all data lengths. The smallest mean absolute error generated is with a data length of 128 which is 5.19 bpm
Perbandingan Metode Perbaikan pada Citra Jalan Berlubang Indriyani, Tutuk; Sitoresmi, Anggun Ardana; Lubabsyah, Ahmad Naufal; Putri, Rahmi Rizkiana; Rozi, Nanang Fakhrur
INTEGER: Journal of Information Technology Vol 10, No 2 (2025): September
Publisher : Fakultas Teknologi Informasi Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.integer.0.v10i2.8287

Abstract

Perbaikan kualitas gambar pada jalan berlubang sangat diperlukan pada tahap awal proses. Karena sering kali gambar yang akan diolah memiliki kualitas buruk yaitu terlalu terang atau terlalu gelap yang disebabkan oleh pengambilan data yang tidak sempurna.  Sehingga akan mempengaruhi pada tahap proses selanjutnya kalau tidak dilakukan perbaikan atau preprosessing sebelumnya. Dalam penelitian ini akan dilakukan analisa dari lima metode perbaikan kualitas citra yang  terdiri dari  metode brightness, contrast, kombinasi brightness dan contrast, improve brightness dan pemetaan nonlinier. Lima metode peningkatan kualitas gambar tersebut akan diterapkan di sepuluh data gambar jalan berlubang. Analisa pada lima metode tersebut menggunakan pengukuran nilai Means Square Error (MSE) dan Peak Signal to Noise Ratio (PSNR).  Hasil pengujian yang diperoleh dari penelitian ini adalah nilai rata- rata MSE brightness 2.500 dB, MSE gabungan 107 dB, MSE contrast 5.633dB, MSE nonlinier 2.883,1 dB dan MSE improve brightness 537,1 dB. Nilai rata- rata PSNR brightness 32,6 dB, PSNR contrast 24 dB, PSNR gabungan 74,6 dB, PSNR nonlinier 34,6 dB dan, PSNR improve brightness 52,1 dB. Analisa dari hasil pengukuran tersebut didapatkan metode kombinasi brightness dan contrast yang merupakan metode terbaik untuk perbaikan kualitas gambar jalan berlubang. karena menghasilkan nilai rata rata MSE yang paling kecil, dan nilai rata rata PSNR paling besar.
Co-Authors Firmansyah, Riza Agung Nanang Fakhrur Rozi Nasrudien, Fahmi Putri, Rahmi Rizkiana Sitoresmi, Anggun Ardana Tutuk Indriyani Wahyu Setyo Pambudi Yulian, Dhany Eka