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.
Articles
183 Documents
<![CDATA[Sugarcane Production Modeling Using Machine Learning in Western Maharashtra ]]>
<![CDATA[Chhaya Gunaji Narvekar]]>;
<![CDATA[Madhuri Rao]]>
<![CDATA[ International Journal of Applied Sciences and Smart Technologies Volume 04, Issue 02, December 2022 ]]>
Publisher : <![CDATA[Universitas Sanata Dharma ]]>
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DOI: 10.24071/ijasst.v4i2.4636
<![CDATA[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.]]>
<![CDATA[Pre-service Science Teachers’ Competence and Confidence in Scientific Inquiry ]]>
<![CDATA[R Rohandi]]>
<![CDATA[ International Journal of Applied Sciences and Smart Technologies Volume 04, Issue 02, December 2022 ]]>
Publisher : <![CDATA[Universitas Sanata Dharma ]]>
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DOI: 10.24071/ijasst.v4i2.5428
<![CDATA[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.]]>
<![CDATA[Optimization of Vacuum Forming Parameter Settings to Minimize Burning Defect on Strawberry Packaging Products Using the Taguchi Method ]]>
<![CDATA[Th. Adi Nugroho]]>;
<![CDATA[Adhi Setya Hutama]]>;
<![CDATA[Perwita Kurniawan]]>
<![CDATA[ International Journal of Applied Sciences and Smart Technologies Volume 04, Issue 02, December 2022 ]]>
Publisher : <![CDATA[Universitas Sanata Dharma ]]>
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DOI: 10.24071/ijasst.v4i2.5281
<![CDATA[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.]]>
<![CDATA[Dijkstra Algorithm Implementation in Determining the Shortest Route of Industrial Gas Distribution in PT Tira Austenite Tbk Cikarang with Python Programming Language ]]>
<![CDATA[Bernadetha Nathalia Fitra Soverenty]]>;
<![CDATA[Cyrenia Novella Krisnamurti]]>
<![CDATA[ International Journal of Applied Sciences and Smart Technologies Volume 04, Issue 02, December 2022 ]]>
Publisher : <![CDATA[Universitas Sanata Dharma ]]>
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DOI: 10.24071/ijasst.v4i2.4806
<![CDATA[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.]]>
<![CDATA[Appropriate Technology-Based Project-Based Learning: 3D Printing Utilization for Learning Media Class ]]>
<![CDATA[Monica Cahyaning Ratri]]>
<![CDATA[ International Journal of Applied Sciences and Smart Technologies Volume 04, Issue 02, December 2022 ]]>
Publisher : <![CDATA[Universitas Sanata Dharma ]]>
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DOI: 10.24071/ijasst.v4i2.5308
<![CDATA[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.]]>
<![CDATA[Employee Presence Using Body Temperature Detection And Face Recognition ]]>
<![CDATA[Arif Ainur Rafiq]]>;
<![CDATA[Erna Alimudin]]>;
<![CDATA[Della Puspa Rani]]>
<![CDATA[ International Journal of Applied Sciences and Smart Technologies Volume 04, Issue 02, December 2022 ]]>
Publisher : <![CDATA[Universitas Sanata Dharma ]]>
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DOI: 10.24071/ijasst.v4i2.5066
<![CDATA[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.]]>
<![CDATA[The Effect of the Number of Cooling Pads on the Output Air Condition and Effectiveness of Air Cooler ]]>
<![CDATA[Wibowo Kusbandono]]>
<![CDATA[ International Journal of Applied Sciences and Smart Technologies Volume 04, Issue 02, December 2022 ]]>
Publisher : <![CDATA[Universitas Sanata Dharma ]]>
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DOI: 10.24071/ijasst.v4i2.5313
<![CDATA[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]]>
<![CDATA[Response Surface Modelling of the Mechanical Properties of Oil Palm Empty Fruit Bunch Fibre Reinforced Polyester Composites ]]>
<![CDATA[Chinwe Evangeline Kamma]]>
<![CDATA[ International Journal of Applied Sciences and Smart Technologies Volume 04, Issue 02, December 2022 ]]>
Publisher : <![CDATA[Universitas Sanata Dharma ]]>
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DOI: 10.24071/ijasst.v4i2.5129
<![CDATA[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.]]>
<![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]]>
