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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 183 Documents
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Comparison of Static Signature Identification using Artificial Neural Networks Based on Haar, Daubechies and Symlets Wavelet Transformations Rosalia Arum Kumalasanti
International Journal of Applied Sciences and Smart Technologies Volume 04, Issue 01, June 2022
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v4i1.4786

Abstract

. Signature is a biometric attribute that is quite important for each individual that can be used as self-identity. Until now, the signature is still used as a sign of legal approval and is agreed upon by everyone. This makes the signature worthy of attention from a security aspect. Various approaches have been proposed in the development of signature identification to minimize signature forgery. This study will discuss the identification of signatures by using the image of the signature on paper. This identification consists of two processes, namely training and testing by utilizing Artificial Neural Networks Backpropagation and Wavelet Transform. Optimal results are obtained by using ANN which has learning rate 0,09, two hidden layers, each 20 and 10 nodes with the most superior Wavelet Haar reaching 94.44% Keywords: Signature, ANN, Identification, Backpropagation, Wavelet
Determining the Coefficient of Restitution Through the “Bouncing Ball” Experiment using Phyphox Jesi Pebralia
International Journal of Applied Sciences and Smart Technologies Volume 04, Issue 01, June 2022
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v4i1.4548

Abstract

This study aims to determine the restitution coefficient based on the reflected sound from the “bouncing ball” experiment. The experiment used a Phyphox-based smartphone. The produced sound came from a reflection between marble and the floor. Theoretically, the value of the coefficient of restitution is obtained based on the square root of the final height of the object’s reflection divided by its initial height. In this study, the determination of the height of the bounce from the “bouncing ball” was measured using the Phyphox application, which was analyzed based on the sound of the bouncing ball and the time interval of the reflection. The results show that the value of the coefficient of restitution for each marble was 0.93, 0.92, and 0.92, while the average error was 0.65%, 0.85%, and 1.43%, respectively. Furthermore, the average error value of the overall measurement is 0.97%. This error is highly dependent on the shape of the object. The rounder a thing is, the higher the level of accuracy will be. In this study, the determination of the coefficient of restitution was carried out in two ways: by comparing the height of the ball’s bounce and the time intervals for the n and n+1 bounce. The value of the coefficient of restitution generated by these methods was identic. Thus, this study had confirmed that the bounce ball experiment using the Phyphox indicated valid data well so that it could be implemented for determining the coefficient of restitution.Keywords: Bouncing ball, Coefficient of restitution, Phyphox, Smartphone
The influence of artificial aging on tensile properties of Al 6061-T4 Freddy Saputra Romamti-Ezer Taebenu; Heryoga Winarbawa; Rines Rines; Budi Setyahandana; I Made Wicaksana Ekaputra
International Journal of Applied Sciences and Smart Technologies Volume 04, Issue 01, June 2022
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v4i1.4816

Abstract

This paper presents an explanation related to experimental testing in the form of the tensile properties of Al 6061. Al 6061 was heat treated by the precipitation hardening method. The precipitation hardening consisted of T4 and T6 treatment. Al 6061 samples were heat-treated at a temperature of 430°C for 2 hours, then cooled slowly at room temperature. The T4 was conducted at a temperature of 530°C for 2 hours, followed by rapid cooling in a water medium and natural ageing at a temperature of 70°C for six days. Temperature T6 is the final process of applying precipitation hardening treatment to Al 6061. Temperature T6 is carried out at 530°C for 2 hours, then cooled rapidly in a water medium and continued with artificial ageing at 190°C with a variation of ageing time for 3 hours, 5 hours, and 7 hours. The effect of the applied treatment was observed to increase the maximum strength value of the tensile test of Al 6061.
Weft Computation of Endek Weaving Nyoman Dewi Pebryani; Putu Manik Prihatini; Tjok Istri Ratna C.S
International Journal of Applied Sciences and Smart Technologies Volume 04, Issue 01, June 2022
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v4i1.4666

Abstract

Endek is a textile produces in Bali with a single ikat technique, specifically weft ikat. Weft ikat means that the pattern is created or drawn on the weft threads before ikat or tying process. The weft threads are transferred into a frame; a frame consists of tens to hundreds of bundles or called traditionally as bulih. Drawing a pattern on a frame requires special expertise as the pattern maker has to translate a two-dimensional pattern into a shape that is distorted on the wide side. Indirectly, this special requirement confines the pattern maker as they have to visualize a distortion shape to be able to draw in the frame. To provide easiness in design exploration, providing various templates and multiplier to automatically distort the template are substantial. Therefore, understanding the manual process on site is important before simulating the formula of weft computation including are templates and multiplier. With this computation, the pattern makers or anyone who has an enthusiast in designing Endek patterns may involve in the design process.
The Effect of Motor Parameters on the Induction Motor Speed Sensorless Control System using Luenberger Observer Bernadeta Wuri Harini
International Journal of Applied Sciences and Smart Technologies Volume 04, Issue 01, June 2022
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v4i1.4518

Abstract

The sensorless control system is a control system without a controlled variable sensor.  The controlled variable is estimated using an observer. In this investigation, the sensorless control system is used to control induction motor speed.  The observer that is used is the Luenberger observer.  One of the drawbacks of the sensorless control system is precision motor parameter values. In this research, the effect of induction motor parameters in a speed sensorless control system, i.e. resistance and inductance motor, will be investigated.  The differences in induction motor parameters between the controller and the actual value affect the system response. The value differences of Rr and Rs that can be applied are a maximum of 50%. However, the small differences in the inductance value greatly affect the system response. To get a good response, the value differences of Ls and Lr are between -5% to +5%, while the difference in the value of Lm is between -3% to +3%.
The experiment of wind electric water pumping for salt farmers in remote area of Demak-Indonesia S. Dio Zevalukito; Yohanes Baptista Lukiyanto; F. Risky Prayogo
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.v4i2.5344

Abstract

Local villagers in the remote area of Wedung, Demak, northern of Central Java, Indonesia utilized special equipment called wind-pump for sea water lifting and circulating on salt production processes. The salt farmer has skill to produce, manufacture and maintain his own traditional wind-pump. In the windpump structure unit consisted of four blade horizontal axis windmill and reciprocating pump. This experiment study separated both windmill and pump by 50 meters. The pump was low speed centrifugal type pump. The windmill shaft was connected electrically to the pump shaft. The electric transmission components were an AC generator, diodes circuits and an DC motor. The experiment is carried out in a place that has the same characteristics as the original place at southern region of Bantul, Yogyakarta, Indonesia. The variation of experiment was pump head of 55 cm and 85 cm during 6 hours each variation. The average wind speed at the time of data collection at the head of 55 and 85 cm were 3.9 and 3.8 m/s. The volume flow rate and the volume produced by the pump during 6 hours of operation were 0.134 and 0.215 liter/s and 2901.6 and 4640.6 liters.
Comparative Study of Master Oil (MO) and Lophira Lanceolata (Ochnaceae) Oil (LLO) Lubricants in Sewing Machines Jamu Benson Yerima; G. O Mokoro; D. William; S. D Najoji
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.v4i2.5165

Abstract

In this paper, the Flash point, Fire point, Cloud point, Pour point, and Volatility of master oil (MO) and locally processed lophira lanceolata oil (LLO) were determined using standard laboratory methods. The results show that LLO has lower volatility which means it can stay longer in moving parts of a machine than MO. Also, the results show that the flash point and fire point of the lubricants lie within the maximum operating temperature range (300 oC) of sewing machines. The high pour point (14 oC) and cloud point (23 oC) of LLO limit its use as a lubricant in low temperate regions of the world as opposed to -14 oC and -7 oC respectively for MO which has universal application.  This implies LLO needs to be chemically blended with some additive agents that can lower its Pour point so that it can favourably compete with other lubricants used in sewing machines worldwide.
A White Noise Approach to Occupation Times of Brownian Motion Herry Pribawanto Suryawan
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.v4i2.5322

Abstract

Occupation times of a stochastic process models the amount of time the process spends inside a spatial interval during a certain finite time horizon. It appears in the fiber lay-down process in nonwoven production industry. The occupation time can be interpreted as the mass of fiber material deposited inside some region. From application point of view, it is important to know the average mass per unit area of the final fleece. In this paper we use white noise theory to prove the existence of the occupation times of one-dimensional Brownian motion and provide an expression for the expected value of the occupation times.
Design of Someone's Character Identification Based on Handwriting Patterns Using Support Vector Machine Rosalia Arum Kumalasanti
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.v4i2.5417

Abstract

Image processing has a fairly broad scope and is rich in innovation. Today, image processing has developed with various reliable methods in almost all aspects of life. One of the uses of technology in the field of image processing is biometric identification. Biometric is a system that utilizes specific data in the form of individual physical characters in the process of identifying and validating data. There is also a biometric attribute that will be developed in this study is handwriting. The handwriting pattern of each individual has a different character and uniqueness so that it can be used as an identity. The uniqueness of this handwriting will be studied with the aim of recognizing a person's character or personality. If someone's personality data has been obtained, this can help the process of recruiting prospective employees in a company by simply reading from handwriting patterns. Handwriting can be studied by combining the science of Psychology so that it can provide output in the form of a person's characteristics or personality. This research will be developed using the multi class Support Vector Machine (SVM) classification. The preprocessing stage in the form of binarization, thinning and data extraction will also greatly affect the reliability of the system. Simulations with variations of variables and parameters are expected to obtain optimal accuracy.
An Enhanced Multi-Level Authentication Electronic Voting System Ayodeji Olusegun Ibitoye; Halleluyah O. Aworinde; Esther T. Adekunle
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.v4i2.5237

Abstract

Originally, manual voting systems are surrounded with issues like results manipulation, errors and long result computation time, ineligible voters, void votes among others. Electronic voting system helped in overcoming the challenges with manual voting system, to engendered other problems of phishing, men in the middle attack alongside voter’s impersonation. By these challenges, the integrity of an election results in a distributed system has become another top concern for e-voting system based on reliability. To achieve an improved voters’ authentication and result validation with excellent user experience, here, a Facial Recognition Electronic Voting System that is power-driven by Blockchain Technology was developed. The entire election engineering activities are decentralised with improved security features to enhance transparency, verifiability, and accountability for each vote count. The self-service voting system was built by smart contract and implemented on the Ethereum network. The obtained reports and evaluations reflected a non-editable and self-sufficiently certifiable system for voting. It also has a competitive edge over fingerprint enabled e-voting system. Aside it’s excellent usability and general acceptance, the developed method discarded to a larger extend, intended fraudulent actions from election activities by eliminating the involvement of a middleman while facilitating privacy, convenience, eligibility and satisfactory voters’ right

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