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International Journal of Applied Sciences and Smart Technologies
Published by Universitas Sanata Dharma
ISSN : 26558564     EISSN : 26859432     DOI : http://dx.doi.org/10.24071/ijasst
Core Subject : Science, Engineering,
Computer Science & IT Energy Engineering Industrial & Manufacturing Engineering
International Journal of Applied Sciences and Smart Technologies (IJASST) is published by Faculty of Science and Technology, Sanata Dharma University Yogyakarta-Central Java-Indonesia. IJASST is an open-access peer reviewed journal that mediates the dissemination of academicians, researchers, and practitioners in engineering, science, technology, and basic sciences which relate to technology including applied mathematics, physics, and chemistry. IJASST accepts submission from all over the world, especially from Indonesia.
Arjuna Subject : Umum - Umum
Articles 13 Documents
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Search results for , issue "Volume 04, Issue 02, December 2022" : 13 Documents clear
Employee Presence Using Body Temperature Detection And Face Recognition Arif Ainur Rafiq; Erna Alimudin; Della Puspa Rani
International Journal of Applied Sciences and Smart Technologies Volume 04, Issue 02, December 2022
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v4i2.5066

Abstract

Employee performance can be measured by their presence or attendance, which applies to both civil servants and non-civil servants. Because the attendance system still uses the manual technique, it is considered inefficient due to the potential for data fraud and attendance problems. In addition, the government is adopting precautions against viruses in office buildings to maintain business continuity while the pandemic is being addressed. This study aimed to employ a facial recognition system and temperature measurement to lower the danger of COVID 19 transmission while minimizing paper use by using a facial recognition system as a substitute for presence. It has so far permitted the digitization of formerly manual sights. The OpenCV library allows computers to detect faces using the haar cascade classifier approach and Python as a programming language. A Logitech C930e webcam with a resolution of 1080p at 30fps was used to capture facial data, which was then processed on a Raspberry Pi 4 microprocessor. It uses an MLX90614 sensor to monitor body temperature, which is controlled by an Arduino Uno microcontroller. It is well integrated into the database based on body temperature testing and facial recognition. The development of a more accurate temperature sensor reading method for distance and employee body temperature is a priority for future research.
The Effect of the Number of Cooling Pads on the Output Air Condition and Effectiveness of Air Cooler Wibowo Kusbandono
International Journal of Applied Sciences and Smart Technologies Volume 04, Issue 02, December 2022
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v4i2.5313

Abstract

To get comfortable air, it can be done by using an air conditioner or air cooler. The electrical power used for the air cooler is relatively lower. This research aims to see the effect of the number of cooling pads on the output air condition and on the effectiveness of the air cooler. The research was conducted experimentally. The research was conducted by varying the number of cooling pads used,thick. The distance between the cooling pads is 1.5 cm. The air temperature inlet of the air cooler has a dry bulb air temperature of 30oC with an air humidity (RH) of 60%. The lowest dry bulb air temperature achieved was 24.04 oC when the number of cooling pads was 6 pieces. The highest air cooler effectiveness achieved was 0.99. Research has given satisfactory results. However, research can be developed by varying the cooling pad material or cooling pad pattern in order to obtain a small number of cooling padsKeywords: Air cooler, Effectiveness, Cooling pad
Response Surface Modelling of the Mechanical Properties of Oil Palm Empty Fruit Bunch Fibre Reinforced Polyester Composites Chinwe Evangeline Kamma
International Journal of Applied Sciences and Smart Technologies Volume 04, Issue 02, December 2022
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v4i2.5129

Abstract

This work presents a systematic approach to evaluate and study the effect of fibre aspect ratio and fibre volume fraction on the tensile strength, ultimate elongation, modulus of elasticity, strength and impact energy of oil palm empty fruit bunch fibre reinforced polyester composites. Hand-lay-up technique was used in the fabrication of the composite materials. Response surface methodology was used to study the effect of the selected factors on the mechanical properties of oil palm empty fruit bunch fibre reinforced polymer-based composite. The optimum fibre aspect ratio and fibre volume fraction for each mechanical property was determined. From the result of optimization, the maximum value for tensile strength obtained was 12.15MPa at a fibre aspect ratio of 64 and fibre volume fraction of 26%. The maximum value for ultimate elongation was obtained as 1.939% at a fibre aspect ratio of 124 and fibre volume fraction of 50%, the maximum value for modulus of elasticity was obtained as 1509 MPa at a fibre aspect ratio of 124 and 34% volume fraction. The maximum value for toughness was obtained as 0.1231MPa at a fibre aspect ratio of 89 and a volume fraction of 30%. The maximum value of impact energy was obtained as 5.765 ft/lbs at 28% fibre volume fraction and an aspect ratio of 69. The maximum value of impact strength was obtained as 4.574N/cm3 at a 36% volume fraction and an aspect ratio of 64.

Page 2 of 2 | Total Record : 13

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