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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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Designing Independent Automatic Drinking Water Platforms At Universitas Sanata Dharma Muhammad Prayadi Sulistyanto; Ervan Erry Pramesta
International Journal of Applied Sciences and Smart Technologies Volume 01, Issue 02, December 2019
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v1i2.2186

Abstract

Environmental pollution is increasing every year. From 2011 to 2014, environmental pollution in the Special Region of Yogyakarta increased above 250 percent. The effect of environmental pollution is the decreasing availability of clean water. Universitas Sanata Dharma as an institution engaged in the field of Education seeks to provide clean water where clean water is suitable for drinking, namely with RO (Reverse Osmosis) technology. Drinking water distribution has run well in the Universitas Sanata Dharma, but it lacks hygiene. In this study, researchers Designing Independent Automatic Drinking Water Platforms that could distribute clean water ready to drink students with a certain dose. The result of this study is that an independent automatic drinking water platform can provide 200cc of clean water ready for drinking in 9 seconds each time a user (student) uses this tool.
Development of Stamping Machine Module to Improve Practical Competency Pippie Arbiyanti
International Journal of Applied Sciences and Smart Technologies Volume 01, Issue 02, December 2019
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v1i2.1885

Abstract

The aim of this research is to design and manufacture a stamping machine module controlled by PLC. Stamping machine is an apllication of electro-pneumatic system in industry to print image/text on the workpieces. The result of this research is a stamping module controlled by PLC, with reliable and easy to disassemble for learning Electropneumatic Practice.
Spur Gears Transmission Analysis on Countinous Passive Motion Machine Design for Shoulder Joint Felix Krisna Aji Nugraha; Antonius Hendro Noviyanto
International Journal of Applied Sciences and Smart Technologies Volume 01, Issue 01, June 2019
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v1i1.1880

Abstract

An analysis of gear transmission on a countinous passive machine (CPM) from the 3-dimensional design has been carried out using Solidworks software. Analysis of the strength of the gear structure is affected by the weight of the patient's arm.Analysis of gear transmission that is affected by the load of the passive arm uses static simulation, by entering the patient's arm load. The facilities used are static simulation with the condition of fixed geometry in the parts related of the shaft, the effect of gravity of 10 m/s2, making mesh, and running simulation.The maximum stress that occurs in gear3 z = 100 is 4.5524e + 006 N/m2, the maximum stress on gear2 z = 80 is 4.81729e + 006 N/m2, the maximum stress on gear100 z = 20 is 9.08982e + 006 N/m2
Writer Identification Based on Hand Writing using Artificial Neural Network Rosalia Arum Kumalasanti
International Journal of Applied Sciences and Smart Technologies Volume 03, Issue 02, December 2021
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v3i2.3920

Abstract

Humans are social beings who depend on social interaction. Social interaction that is often used is communication. Communication is one of the bridges to connect social relations between humans. Communication can be delivered in two ways, namely verbal or nonverbal. Handwriting is an example of nonverbal communication using paper and writing utensils. Each individual's writing has its own uniqueness so that handwriting often becomes the character or characteristic of the author. The handwriting pattern usually becomes a character for the writer so that people who recognize the writing will easily guess the ownership of the related handwriting. However, handwriting is often used by irresponsible people in the form of handwriting falsification. The acts of writing falcification often occur in the workplace or even in the field of education. This is one of the driving factors for creating a reliable system in tracking someone's handwriting based on their ownership.In this study, we will discuss the identification of a person's handwriting based on their ownership. The output of this research is in the form of ID from the author and accuracy in the form of percentage of system reliability in identifying. The results of this study are expected to have a good impact on all parties, in order to minimize plagiarism. Identification of handwriting to be built consists of two main processes, namely the training phase and the testing phase. At the training stage, the handwritten image is subjected to several processes, namely threshold, wavelet conversion, and then will be trained using the Backpropagation Artificial Neural Network. In the testing phase, the process is the same as in the training phase, but at the end of the process, a comparison will be made between the image data that has been stored during training with a comparison image.Backpropagation ANN can work optimally if it is trained using input data that has determined the size, learning rate, parameters, and the number of nodes on the network. It is expected that the offered method can work optimally so that it produces an accurate percentage in order to minimize handwriting falcification.
The Simulation of Traffic Signal Preemption using GPS and Dijkstra Algorithm for Emergency Fire Handling at Makassar City Fire Service Melki Friaswanto; Erick Alfons Lisangan; Sean Coonery Sumarta
International Journal of Applied Sciences and Smart Technologies Volume 03, Issue 02, December 2021
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v3i2.3821

Abstract

The Makassar City Fire Department often faces obstacles in handling fires. Problems that often hinder such as congestion at crossroads, panic residents, and others. The result of this research is a system that can assist firefighters when handling fire cases in terms of accelerating the firefighting team to the location of the fire. Dijkstra's algorithm will be used to find the shortest path to the fire location and the travel time. Then the traffic signal preemption simulation adjusts the color of the lights when the GPS vehicle approaches the traffic lights on the path to be traversed. The simulation results show that the use of traffic signal preemption in collaboration with Dijkstra's algorithm and GPS can help the performance of the Makassar City Fire Department, especially for handling fires that require fast time.
Saving the Moving Position on the Continuous Passive Motion Machine for Rehabilitation of Shoulder Joints Antonius Hendro Noviyanto
International Journal of Applied Sciences and Smart Technologies Volume 01, Issue 02, December 2019
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v1i2.1921

Abstract

This paper presents the results of the motion therapy device Continuous Passive Motion (CPM) Machine which is applied to the shoulder joint with storage movement. The process of joint rehabilitation is carried out by continuous passive movements. This movement is intended not to overload the work of the muscles and there is no stiffness in the joints after surgery or stroke patients or patients who have carried out immobilization for quite a long time. The CPM Machine developed can move flexion and horizontal abduction. The position storage in this tool is carried out in a range of movements in flexion and horizontal abduction. So that with the storage of movement can be done movement / therapy exercises in patients with joint stiffness passively and continuously.
Characteristics of Wooden Furniture Drying Machine Petrus Kanisius Purwadi; A. Prasetyadi
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.v4i1.4755

Abstract

This study aims to determine the characteristics of the electric energy drying machine used to dry wooden furniture. Furniture made of mahogany. The research was conducted experimentally in the wood furniture industry. The size of the wood drying room is 8 m x 6 m x 3 m. The dryer works with a vapor compression cycle using R134a freon and several fans placed in the drying chamber. The drying process uses a closed air system. The total volume of dried wooden furniture is 12.9 m3. The initial moisture content in the wood ranges from 18% to 23%. Wooden furniture is considered dry if the moisture content in the wood furniture is less than 12%. Research gives satisfactory results. The performance of the drying machine or COP is 10.85. The drying time for wooden furniture is about 72 hours.
Cryptocurrencies Advantages and Disadvantages: A Review Shadi Khaled Zakarneh; Zaer Qaroush; Ammar Dawabsheh
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.v4i1.4610

Abstract

Abstract. With the rapid spread of technology in all sectors of life and the necessary need to increase the speed of payment processes, confidentiality, and privacy in business operations, cryptocurrencies appeared. The cryptocurrency is a virtual and intangible currency, in which transactions are made through the Internet and without any physical exchange between parties. These currencies are characterized by decentralization, transparency, privacy. Because transactions are carried out through a cryptography process and depend on Blockchain technology it is highly protected. Blockchain generally is a distributed ledger or a decentralized database. The Blockchain architecture combines advanced cryptography, distributed consensus mechanisms, and a complex system of incentives and rewards. In cryptocurrency, transactions are created, transferred, and verified through an integrated process called mining. Network members (network nodes) who carry out verification processes of transactions are called miners. As it is a credit or debit card used in banking transactions, in cryptocurrencies there is a so-called electronic wallet that is used for transactions that take place on cryptocurrencies over the Internet through computers or smartphones. Blockchain technology architecture has given cryptocurrencies many advantages and features that increase its strength and distinction from regular currencies and regular financial transactions such as decentralization, high confidentiality, anonymity, speed of transactions, very low fees, unlimited number of transactions, unrestricted by geography and borders, transparency, protection from Inflation, and the peer-to-peer network. The misuse of powerful features in cryptocurrencies and Blockchain technology has led to many disadvantages such as the risks of lack of knowledge, the lack of wide acceptance, the high risk of investing in them, its volatile nature, and the inability to return missing payments. This study concentrates on cryptocurrencies in terms of advantages and disadvantages.
Shrinkage of Biocomposite Material Specimens [HA/Bioplastic/Serisin] Printed using a 3D Printer using the Taguchi Method Felix Krisna Aji Nugraha
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.v4i1.4205

Abstract

The Fused Deposition Modeling method in the rapid prototyping technique was modified using a paste-shaped material with biocomposite material. One of the correction factors for the printed test specimen results is shrinkage. The paste material used is hydroxyapatite [CA5(PO4)6(OH)2] and tapioca bioplastic is one of the biomaterials that has been widely used in tissue engineering. Besides these materials, sericin is added, which is produced from extracts from silkworm cocoons.The composition of the biocomposite paste used with the ratio of hydroxy apatite and bioplastic was 40:50, 50:50, 60:40, by adding 0.3% sericin to the hydroxyapatite solution. The parameters used in the printing process of the test specimens are the perimeter speed of 60 mm/s, the infill speed of 10 mm/s, and the layer height of 0.45 mm. The design in this test has dimensions of 100mm long, 25mm wide, and 3mm thick. The optimal shrinkage of the test specimens was analyzed using the Taguchi . methodSpecimen printing is done by using additive manufacturing method. The process is carried out using a Portabee three-dimensional printing machine that uses a Fused Deposition Modeling (FDM) system modified to an Aqueous-Based Extrusion Fabrication (ABEF) system. The size of the printed test specimens with dimensions of 100mm long, 25mm wide, and 3mm thick. The comparison of the biocomposite materials used in the composition of hydroxyapatite suspension paste and tapioca starch bioplastics ranged from 40:50, 50:50, 60:40, with the addition of 0.3% sericin hydroxyapatite suspension. The optimal composition of the bioplastic material was analyzed using the method. Taguchi.The results obtained that the optimum composition for shrinkage of the hydroxyapatite and bioplastic compositions was 50:50 with the addition of 0.3% sericin to the hydroxyapatite solution
Impact of Online Education and Sentiment Analysis from Twitter Data using Topic Modeling Algorithms Sulochana Devi; Chhaya Dhaval; Lalita Moharkar; Sushama Khanvilkar
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.v4i1.4637

Abstract

During a pandemic, all industries suffer greatly, and every sector of the world suffers in some way, including the education sector. Internet expressions reflect users' feelings about a product or service. The polarity of information in source data toward a subject under investigation is determined by sentiment analysis processes. The goal of this study is to examine social media expressions about online teaching and learning, as online education will become a part of everyday life in the future. We collected data from Twitter using keywords related to online education and Google form from engineering undergraduate students for prototype implementation. This analysis will assist teachers, parents, and the student community in understanding the benefits and drawbacks of the education industry, allowing for further improvement in educational outcomes. We used aspect-based sentiment analysis and topic modeling to determine sentiment polarity and important topics for education sector stakeholders. To begin, we used TextBlob Python package to determine sentiment polarity, and Bag of Words, LDA and LSA model for discovering topics. After modeling topics from the collected data, topic Coherence is used to assess the degree of semantic similarity between high-scoring words in the topic. The word cloud and LDAvis are used to visualize data. The experimental results are promising and it will assist education stakeholders in addressing the concerns that have been identified as social media expressions to work on.

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