Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal International Journal of Electrical, Computer, and Biomedical Engineering (IJECBE) Penelitian Gizi dan Makanan (The Journal of Nutrition and Food Research)
Sambiono, Andy
Unknown Affiliation
Computer Science & IT Electrical & Electronics Engineering Health Professions Materials Science & Nanotechnology Medicine & Pharmacology Nursing Public Health Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Implementation of Thermal Camera for Human Stress Detection: A Review Hendryani, Atika; Nurdinawati, Vita; Sambiono, Andy
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 1 No. 2 (2023)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v1i2.28

Abstract

Stress has become a major problem that people face today. The high level of competition and environmental demands make people more susceptible to stress. Stress can interfere with a person's ability to work effectively. If left unchecked for a long time, stress can cause various dangerous diseases such as hypertension, heart problems, and others that can lead to death. Research has been conducted for a long time to detect stress. Various technologies have been used to detect and anticipate stress that occurs in humans. One promising technology for detecting stress is the use of thermal cameras. Thermal cameras have several advantages: being non-contact and non-invasive, quick, easy to use, and cost-effective. In general, the architecture of the stress detection system using a thermal camera consists of several stages, including image acquisition, pre-processing, ROI tracking and selection, feature extraction, and statistical analysis or classification. This paper aims to review the use of thermal cameras in detecting stress in humans. This paper also seeks to answer the research question of what analysis can be done to improve stress detection accuracy using thermal camera images. Research shows that ROI selection must be carefully considered to obtain good accuracy. Combining thermal images with other data can improve accuracy in stress detection. Machine learning in classification provides many benefits in recognizing patterns but is highly influenced by the number of datasets used.
PENGEMBANGAN ALAT UKUR DIGITAL PANJANG DAN TINGGI BADAN ANAK BALITA UNTUK PENETAPAN STATUS GIZI ANAK DI DAERAH TERPENCIL WILAYAH BOGOR Soekatri, Moesijanti Y.E.; Marwazi, Hendra; Sambiono, Andy; Nareswara, Anastu Regita; Azkatu R, Asa
Penelitian Gizi dan Makanan (The Journal of Nutrition and Food Research) Vol. 47 No. 2 (2024): PGM VOL 47 NO 2 TAHUN 2024
Publisher : Persagi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36457/pgm.v47i2.800

Abstract

Determining the nutritional status of children under five depends heavily on accurate measurement results and the measuring instruments used. This study aims to develop a digital length and height measuring instrument for children under five who are able to measure automatically with an accuracy of 0.1 cm and store results up to 100 children's data. This tool uses a VL53L0X sensor and displays nutritional status directly based on WHO 2006 standards (TB/U). A total of 43 children under five were measured using digital and manual tools. The test results showed that the Technical Error of Measurement (TEM) and reliability values on the digital tool were in the “almost perfect” category (≥0.8), similar to the manual tool. Paired-Samples T-Test results showed no significant difference between the two tools (p>0.05). The digital measurement tool also showed high sensitivity and specificity in detecting nutritional status. Therefore, this tool can be used as a practical alternative in anthropometric measurements in remote areas.
Co-Authors Atika Hendryani Azkatu R, Asa Marwazi, Hendra Nareswara, Anastu Regita Soekatri, Moesijanti Y.E. Vita Nurdinawati