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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
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
Sugarcane Production Modeling Using Machine Learning in Western Maharashtra Chhaya Gunaji Narvekar; Madhuri Rao
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.v4i2.4636

Abstract

Agriculture is the most important sector in the Indian economy. India is the world's second-largest producer of sugarcane. Study is undertaken at Shirol tehsil. Kolhapur district, Maharashtra state, India with the aim of modeling sugarcane production forecasting using supervised machine learning algorithms. Sugarcane is mostly cultivated crop in this area. We applied supervised machine learning for forecasting the productivity of sugarcane village wise based on the ten year’s data about sugarcane production from the year 2010 to 2020. Productivity prediction accuracy for all algorithm  is greater than 92%. Whereas sugarcane yield prediction accuracy is around 65% , which is only based on features provided by sugar factory.
Pre-service Science Teachers’ Competence and Confidence in Scientific Inquiry R Rohandi
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.v4i2.5428

Abstract

The objective of this study was to examine students’ competence and confidence in scientific inquiry. 42 pre-service science teachers were involved in completing a questionnaire. Data collected were analyzed using Rasch modeling. The results of data analysis show that mean of the Rasch score for students’ competence (1.76 Logits; SD = 1.20) is higher than the mean of the Rasch score for students’ confidence (1. 41 Logits; SD = 1.01). These results show that although students feel competent to do inquiry, they do not yet fully have the confidence to carry out inquiry learning with students in classroom activities. Implications for a science teacher and pre-service science education based on these results are discussed.
Optimization of Vacuum Forming Parameter Settings to Minimize Burning Defect on Strawberry Packaging Products Using the Taguchi Method Th. Adi Nugroho; Adhi Setya Hutama; Perwita Kurniawan
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.v4i2.5281

Abstract

Packaging products are being developed by PT. ATMI IGI – Center. The process of making these products uses the Vacuum forming method. The packaging product is made of PP (Polypropylene) and is used to pack strawberries. There are several problems during the production process, one of which is that there are still product defects burning or often called burn marks. These problems are caused by the machining parameters that have not been standardized, and based on trial eror or experience of the operator. The vacuum forming machine used in this production is the Formech 508FS Vacuum Forming machine. The optimized parameters are heat zone, heat time, and stand by temperature. Optimizing these parameters using the Taguchi method, with an orthogonal array with 9 trials, and the selected signal to noise ratio (SNR) is smaller is better. The response of this research is the reduction of burn mark product defects. The results showed that to reduce burn mark product defects, is to set the parameter heat zone 1 by 90%, heating zone 2 is 80%, heating time 45s, and stand by temperature 60%. Based on this arrangement, the product defects obtained only reached 13%. PT. ATMI IGI-Center is expected to be able to use these parameter settings for the strawberry packaging production process.
Dijkstra Algorithm Implementation in Determining the Shortest Route of Industrial Gas Distribution in PT Tira Austenite Tbk Cikarang with Python Programming Language Bernadetha Nathalia Fitra Soverenty; Cyrenia Novella Krisnamurti
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.v4i2.4806

Abstract

Mathematics is used in various fields of human life, one of them is in the industrial field. In the field of industrial mathematics can be used in finding the shortest route in distributing industrial gas. Finding the shortest route was done using Dijkstra's algorithm and developing the Python programming language. The purpose of this study is to determine the shortest route on industrial gas distribution at PT Tira Austenite Tbk Cikarang using the Python programming language. This type of research is applied research. The results obtained from this study are the Python programming language that can be used to find the shortest route of industrial gas distribution and users only enter the starting point and endpoint data on the program.
Appropriate Technology-Based Project-Based Learning: 3D Printing Utilization for Learning Media Class Monica Cahyaning Ratri
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.v4i2.5308

Abstract

Indonesia has more than ten thousand islands, making it an archipelago; therefore, the distribution of learning media and facilities over the country is difficult. This condition may affect the learning material delivery and the student's understanding. Thus, the do-it-yourself (DIY) learning media helps to overcome this condition. We investigated the usefulness of applying appropriate technology through the 3D printing technique to fabricate learning media inspired by local wisdom to meet the needs of learning media. The students were guided by a project-based learning (PjBL) method to find the problem, design their learning media, fabricate it using a 3D printer, and expected to be applied to deliver the teaching material in the class. This study aimed to observe the implementation of the designing process based on theory to reality. A qualitative method and questionnaire were used to measure student's responses. We found that PjBL learning based on a 3D printing project increases students' motivation through creativity and effectiveness in delivering the teaching materials. Furthermore, 3D printed-based learning media can easily be fabricated, producing less waste.

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