International Journal of Applied Sciences and Smart Technologies
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.
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<![CDATA[Forensic Investigation in SQL Server Database Using Temporal Tables & Extended Events Artifacts ]]>
<![CDATA[Shadi Khaled A. Zakarneh]]>
<![CDATA[ International Journal of Applied Sciences and Smart Technologies Volume 05, Issue 01, June 2023 ]]>
Publisher : <![CDATA[Universitas Sanata Dharma ]]>
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DOI: 10.24071/ijasst.v5i1.4611
<![CDATA[Different Database management systems (DBMS) were developed and introduced to store and manipulate data. Microsoft SQL (MSSQL) Server one of the most popular relational DBMS used for large databases. With the increasing use of databases, intentional and unintentional accidents on databases are increasing dramatically. Therefore, there is a great need to develop database forensic investigation (DBFI) tools and models. The temporal table is a new feature introduced with MSSQL server 2012 for track changes, database audit, data loss protection, and data recovery. In addition, the extended events another new feature introduced with MSSQL server 2008 for database performance troubleshooting. This study focused on DBFI in the MSSQL server using temporal tables and extended events artifacts. The experiment is conducted and the results have presented the use of the temporal tables and extended events artifacts in analyzing and determining the internal unauthorized modification on the database.]]>
<![CDATA[Smoothing Module for Optimization Cranium Segmentation Using 3D Slicer ]]>
<![CDATA[Gilang Argya Dyaksa]]>;
<![CDATA[Nur Arfian]]>;
<![CDATA[Herianto Herianto]]>;
<![CDATA[Lina Choridah]]>;
<![CDATA[Yosef Agung Cahyanta]]>
<![CDATA[ International Journal of Applied Sciences and Smart Technologies Volume 05, Issue 01, June 2023 ]]>
Publisher : <![CDATA[Universitas Sanata Dharma ]]>
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DOI: 10.24071/ijasst.v5i1.6300
<![CDATA[Anatomy is the most essential course in health and medical education to study parts of human body and also the function of it. Cadaver is a media used by medical student to study anatomical subject. Because of limited access to cadaver and also due to high prices, this situation makes it necessary to develope an alternative anatomical education media, one of them is the use 3D printing to produce anatomical models. Before 3D Print the cranium, it is necessary to do the segmentation process and often the segmentation result is not good enough and appear a lot of noises. The purpose of this research is to optimize a 3D cranium based on DICOM (digital imaging and communications in medicine) data processing using the smoothing modules on 3D Slicer. The method of this research is to process the Cranium DICOM data using 3D Slicer software by varying the 5 types of smoothing modules. The results with default parameter fill holes and median have better results compared to others. Kernel size variations are performed for smoothing module fill holes and medians. The result is fill holes get optimal segmentation results using a kernel size of 3 mm and the median is 5 mm]]>
<![CDATA[Rfid Application For Designing Lowcost Learning Device For Play And Learning To Read Early Braille For Blind Children ]]>
<![CDATA[Bertha Bintari W.]]>
<![CDATA[ International Journal of Applied Sciences and Smart Technologies Volume 05, Issue 01, June 2023 ]]>
Publisher : <![CDATA[Universitas Sanata Dharma ]]>
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DOI: 10.24071/ijasst.v5i1.5599
<![CDATA[It is very important for children who have low vision or visual impairment to be able to recognize braille letters and recognize words. This ability will help them to be able to read and write Braille. Braille recognition learning methods currently use technology as a learning aid or assistive device. However, assistive devices with this technology are still rare and unaffordable for some schools and students in Indonesia. The design of this braille learning aid applies RFID as a low-cost solution for learning braille reading aids. This tool integrates several braille learning methods that have been carried out by teachers when teaching braille recognition in schools. The integrated methods are the Mangold method, the Fernald method, the Flashcards method and the scrabble method. This tool helps children recognize braille letters, arrange them as words and is confirmed directly by the tool through sound if the letters arranged as a word are right or wrong. With this integration method, children are expected to be able to learn to read braille while playing, and learn independently.]]>
<![CDATA[A Brief on Optical-based Investigation towards The Interfacial Behaviors during High Viscous Liquid/Gas Countercurrent Two-Phase Flow in a Complex Conduit Representing 1/30 Down-Scaled of PWR Hot Leg Geometry ]]>
<![CDATA[Achilleus Hermawan Astyanto]]>;
<![CDATA[Indarto Indarto]]>;
<![CDATA[Deendarlianto Deendarlianto]]>
<![CDATA[ International Journal of Applied Sciences and Smart Technologies Volume 05, Issue 01, June 2023 ]]>
Publisher : <![CDATA[Universitas Sanata Dharma ]]>
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DOI: 10.24071/ijasst.v5i1.6302
<![CDATA[The present work briefly investigates liquid/gas countercurrent two-phase flow phenomena which can be specifically found in a mitigation during an accidental scenario in the operation of a nuclear reactor. A comprehensive knowledge on the corresponding phenomena is obviously important to avoid the failure on the cooling mechanism. Here, a pair of fluid containing high viscous liquid/gas flows through a complex conduit representing 1/30 scaled-down of PWR hot leg’s typical geometry. Furthermore, the flow structures were visually observed, while the film thicknesses are extracted by an image processing algorithm through the corresponding optical-tabulated data. The obtained results reveal that a rather sharp decrease in liquid film corresponds to the flow regime transition.Keywords: Countercurrent two-phase flow, liquid film thickness, high viscous liquid, complex conduit]]>
<![CDATA[Smart Technology in Construction Industry: Opportunity during COVID-19 Pandemic ]]>
<![CDATA[Putri Fatimah]]>;
<![CDATA[Ahyahudin Sodri]]>;
<![CDATA[Udi Syahnoedi Hamzah]]>
<![CDATA[ International Journal of Applied Sciences and Smart Technologies Volume 05, Issue 01, June 2023 ]]>
Publisher : <![CDATA[Universitas Sanata Dharma ]]>
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DOI: 10.24071/ijasst.v5i1.5583
<![CDATA[The construction industry is a sector that plays an essential role in economic growth. The COVID-19 pandemic is an uncertain situation that significantly affects humans and industries, including the construction industry. The operational construction projects are complex with various activities and involve a large of workers. Prevention of the spread of COVID-19 that changes lifestyles and improves technology adoption. This study examines the relationship between increased technology adoption and limited workers’ social interaction in construction projects during the pandemic. A questionnaire survey was conducted to construction workers in DKI Jakarta, 74 valid responses were collected and correlation analyses were performed with SPSS version 28. The result of this study indicated a significant and positive correlation between increased technology adoption and limited workers’ social interaction in a construction project during the pandemic. There are opportunities for the construction industry to implement a digital transformation, Building Information Modelling (BIM), and intelligence visualization technologies to cope with the impact of the COVID-19 pandemic on construction activities. This study provides evidence that smart technologies application has a significant role in supporting the construction industry to mitigate the impact of the COVID-19 pandemic and opportunities for continuous improvement towards post-pandemic.]]>
<![CDATA[Performance of Low Power Electric Energy Clothes Dryers for Households ]]>
<![CDATA[Doddy Purwadianto]]>;
<![CDATA[Budi Sugiharto]]>
<![CDATA[ International Journal of Applied Sciences and Smart Technologies Volume 05, Issue 01, June 2023 ]]>
Publisher : <![CDATA[Universitas Sanata Dharma ]]>
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DOI: 10.24071/ijasst.v5i1.6281
<![CDATA[One of the problems faced by middle to lower economic class people in big cities is drying clothes, both in the dry season and in the rainy season. Artificial clothes drying equipment is needed that can replace the role of solar energy. The purpose of this study was to determine the performance of electric energy clothes dryers and the length of time needed to dry clothes on a household scale. The clothes dryer works by using a heat-pump based on the vapor-compression cycle. The total power of the heat pump is 200 watt. The working fluid of the heat-pump is R134a. The working fluid used to dry clothes is air, using a closed airflow system. The research was carried out experimentally by varying the amount of clothes in the drying chamber. The clothes dryer performance (COP) of the heat pump is 7.94. Drying time for 15, 25 and 40 clothes respectively for 210 minutes, 330 minutes and 450 minutes.]]>
<![CDATA[Application of Augmented Reality-Based Solar System Recognition Using Metaverse Studio ]]>
<![CDATA[Izza Wildan Ridhoni]]>;
<![CDATA[Muhammad Sholeh]]>
<![CDATA[ International Journal of Applied Sciences and Smart Technologies Volume 05, Issue 01, June 2023 ]]>
Publisher : <![CDATA[Universitas Sanata Dharma ]]>
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DOI: 10.24071/ijasst.v5i1.5447
<![CDATA[Learning media is currently developing with various innovations, especially in utilizing information technology. One of the technologies used for the learning process is Augmented Reality (AR). The purpose of the research is to provide alternative learning media using information technology, especially focusing on the use of AR. The learning that will be developed in this case is learning aimed at children to introduce learning about the solar system using interactive AR. The content of the learning media developed includes several things, namely learning the solar system and quizzes to test children's knowledge about the solar system. The research method used in developing learning media uses the Research and Development (RD) method. The application development process can be done by adding features. The results of this study produce an AR-based application that describes learning the solar system in 2D/3D form and is equipped with a quiz to train children's knowledge.]]>
<![CDATA[Input Power Measurement System for Driving Motor in Testing Low-Speed Generator ]]>
<![CDATA[Ignasius Eko Yuliyanto]]>;
<![CDATA[Tjendro Tjendro]]>;
<![CDATA[Bernadeta Wuri Harini]]>;
<![CDATA[Martanto Martanto]]>
<![CDATA[ International Journal of Applied Sciences and Smart Technologies Volume 05, Issue 01, June 2023 ]]>
Publisher : <![CDATA[Universitas Sanata Dharma ]]>
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DOI: 10.24071/ijasst.v5i1.6339
<![CDATA[Rapid technological advances are affecting the greater use of electrical energy. One of the devices that can generate electrical energy is a generator. Testing the characteristics of the generator required a drive motor to rotate the generator shaft. This research aims to create a three-phase input power measurement system for driving a motor. The method of measuring input power is by measuring the current and voltage of each phase. The power is obtained from the multiplication between current and voltage. The system consists of current sensors, voltage sensors, a signal conditioning circuit, and an Arduino Mega microcontroller for data processing. The system is equipped with a graphical user interface, data storage, and application. The generator input power measurement system has been created and tested. The measurement system has successfully measured the input power of the generator's driving motor, which in real-time is displayed on the trend graph via the graphical user interface on the laptop. The input power measurement data on the three-phase generator and the time data have been successfully stored inside the micro-SD. The average error of the voltage reading is 2% compared to the measurement of the reference voltmeter. The current reading error was 2% compared to the reference meter ampere measurement.]]>
<![CDATA[Laser Based Vibration Sensor Through Mobile ]]>
<![CDATA[Rashmita K. Mohapatra]]>;
<![CDATA[Shalini J. Yadav]]>;
<![CDATA[Rajan Yadav]]>
<![CDATA[ International Journal of Applied Sciences and Smart Technologies Volume 05, Issue 01, June 2023 ]]>
Publisher : <![CDATA[Universitas Sanata Dharma ]]>
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DOI: 10.24071/ijasst.v5i1.4695
<![CDATA[Machine condition monitoring has gained momentum over the years and becoming an essential component in the today’s industrial units. A cost-effective machine condition monitoring system is need of the hour for predictive maintenance. The paper presents the design and implementation using vibration sensor, and also this system operated through smart phones. Vibration analysis plays a major role in detecting machine defects and developing flaws before the equipment fails and potentially damages. The concept of this project was to detect faulty equipment in industry machine so that before damaging the whole machine faulty equipment can be replace and improve the durability of machine.]]>
<![CDATA[Classification of Lung and Colon Cancer Histopathological Images Using Convolutional Neural Network (CNN) Method on a Pre-Trained Models ]]>
<![CDATA[Brilly Lutfan Qasthari]]>;
<![CDATA[Erma Susanti]]>;
<![CDATA[Muhammad Sholeh]]>
<![CDATA[ International Journal of Applied Sciences and Smart Technologies Volume 05, Issue 01, June 2023 ]]>
Publisher : <![CDATA[Universitas Sanata Dharma ]]>
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DOI: 10.24071/ijasst.v5i1.6325
<![CDATA[Cancer is a severe illness that can affect many young and older people. In Indonesia, lung cancer is the leading cause of cancer-related death, whereas colon cancer, with more than 1.8 million cases worldwide in 2018, is the third most common cancer. This study intends to create a model to categorize histological images of lung and colon cancer into five labels to aid medical professionals' categorization job. This study uses a pre-trained model idea known as VGG19 in its CNN (Convolutional Neural Network) technique. The dataset uses 25,000 histological graphic pictures with a ratio of 80% training data and 20% testing data. The classification system for lung and colon cancer contains five categories: lung benign tissue, lung adenocarcinoma, lung squamous cell carcinoma, colon adenocarcinoma, and colon benign tissue. The training result revealed a 99.96% accuracy rate and a 1.5% loss rate. The model can be rated as excellent based on these results.Keywords: Lung Cancer, Colon Cancer, Convolutional Neural Network, CNN, Pre-Trained]]>
