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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 16 Documents
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Search results for , issue "Volume 06, Issue 2, December 2024" : 16 Documents clear
Recent Developments in The Influencing Variables of Hydrodistillation for Enhancing Essential Oil Yields in Indonesia: A Brief Review Dewantoro, Awaly Ilham; Alifia, Alvita Rahma; Handini, Tanti; Qolbi, Latifah Zainul; Ihsani, Dita Amelia; Nurliasari, Desy
International Journal of Applied Sciences and Smart Technologies Volume 06, Issue 2, December 2024
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v6i2.9191

Abstract

Hydrodistillation is widely known as the simplest essential oils (EOs) isolation technique and is widely used by small-scale producers, such as in Indonesia. The main characteristic of hydrodistillation is the plant-source material of EOs soked in water, followed by boiling and diffusion. Variuos problems arise from the use of hydrodistillation, including the possibility of overheating, degradation of EOs because of the long heating time, difficulty in controlling the heat, and a slow process. The aim of this study was to review the recent developments in hydrodistillation technology that have been developed in Indonesia to improve the quality and yield of EOs. Bibliometric analysis trhough the Methodi Ordinatio was used to compile a systematic review of prior studies in the recent decade regarding the application of hydrodistillation in Indonesia. The results showed that five plant-source commodities were extensively isolated consisting of citrus, lemongrass, cinnamon, nutmeg, and ginger. Furthermore, this study investigated the variables that influnce the hydrodistillation process for EOs isolation. The variables were often evaluated according to the results are distillation time, pretreatment of raw materials, feed-to-solvent ratio, particle size, growth place, and plant developmental stage. A future perspective was considered and outlined to carroed out further novel study and development strategies. Keywords: Bibliometric analysis, Hydrodistillation, Plant commodities, Process variables, Pretreatment.
Characterization The Flavonoids Extract of Tridax Procumbens l. Leaves and Betel Lime as Materials for Open Wound Analgesic Ointment Zainullah, Muhammad; Setiana, Mina Devika; Fatimah, Vera Nur; Fitriana, Ilma; Kurniawan, Robi
International Journal of Applied Sciences and Smart Technologies Volume 06, Issue 2, December 2024
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v6i2.7915

Abstract

Tridax procumbens L. has quite high flavonoid content (6.51%). Flavonoids have antimicrobial effects that can fight bacteria. Besides that, the flavonoid content of T. procumbens leaves as an analgesic inhibits has the potential to be used as an analgesic ointment material for open wounds. Betel lime (CaCO3) also helps speed up the healing of open wounds. This research aims to optimize a mixture of T. procumbens leaves and betel lime to make a material-based herbal ointment that effective in healing open wounds. This research uses quantitative and qualitative approaches. The dependent variables used are the results of FTIR characterization, SEM-EDX, and antibacterial tests. Research results show that the 1:1 ointment sample has the highest homogeneity with an average particle size distribution of 11.95 nm. The weight and total atomic weight of carbon and calcium elements fluctuated with increasing leaf extract concentration, but the 2:1 ointment sample showed a higher calcium element content than the other samples because the amount of whiting was greater than the leaf extract. Flavonoid functional groups were successfully detected, O-H, C-H, and C-O-C. In S. aureus, it was shown that the 1:1 ointment sample was able to inhibit bacterial growth with an inhibition zone diameter of 0.062 to 1.510 cm. In addition, the contents of stigmasterol, β-sitosterol, and n-hexadecanoid acid are the main components that play a role in the inhibitory activity of bacteria. Keywords: Analgesic ointment, flavonoids, open wounds
Prediction of Life Expectancy in Indonesia by Implementing Website-Based Lagrange Polynomial Interpolation Maarip, Syamsul; Hermansyah, Aam; Hadraeni, Sopi Nuryani; Miqdad, Salman; Nuryadin, Ardhan Dimas; Yuliyanti, Siti
International Journal of Applied Sciences and Smart Technologies Volume 06, Issue 2, December 2024
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v6i2.9167

Abstract

Life Expectancy (AHH) is a measurement of the average human lifespan accepted and used to assess the quality of health and welfare of a country's population. Accepted to develop a prediction system that can be easily accessed by the general public via a web platform. The method used to predict is the Lagrange polynomial interpolation method. The Lagrange polynomial interpolation method was chosen because it can model irregular numerical data with a fairly high level of accuracy. The data used to predict AHH comes from the Indonesian Central Statistics Agency (BPS). Known data on life expectancy in Indonesia for men from 2020 to 2023 shows 69.59, 69.67, 69.93 and 70.17. Predictions for 2024, 2025 and 2026 respectively show 70.19, 69.79, 68.77 with a Root Mean Squared Error result of 0.085875 or around 8.58% of the total data tested. The results of implementing the Lagrange polynomial interpolation method into an application in the form of this website show that this method is able to provide accurate predictions for life expectancy in Indonesia and can make it easier to use.Keywords: Interpolasi, Polinom Langrange, Life Expectancy, prediction, lifespan
Automated Detection of Spine Deformities: Advancing Orthopedic Care with Convolutional Neural Networks Pratap, Deepesh; Sinha, Saran; Kumari, A. Charan; Srinivas, K.
International Journal of Applied Sciences and Smart Technologies Volume 06, Issue 2, December 2024
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v6i2.9280

Abstract

This paper proposes Spine-CNN, a deep learning model for the detection of spinal deformities that can assist orthopedic doctors as a reliable tool for diagnosis. This technology promises to dramatically simplify the diagnostic process, freeing valuable time, and resources for healthcare professionals. To achieve this objective, a dataset of spine deformity X-ray images was curated from the PhysioNet database. The Spine-CNN was specially designed for detecting the spine deformity by incorporating features to leverage its ability to extract intricate features from radiographic images and by fine tuning the hyperparameters to properly train the model. Model performance was evaluated using standard metrics. Results from the Spine-CNN demonstrated promising performance in detecting spinal deformities. The model achieved an accuracy of 74%, with precision, recall, and F1-score values of 77%, 70%, and 73% respectively. Specifically, this research work introduces a Spine-CNN that underscore the potential of deep learning techniques to revolutionize diagnostic practices in orthopedic medicine, leading to improved treatment outcomes and patient care. Keywords: Computer-aided detection, Convolutional neural network, Image classification, Spine Deformation, X-ray imaging
Density Functional Theory Investigation on The Electronic Structure, Properties and IR Spectra of 9,10-Iphenylanthracene Adeyemi, Owolabi J; Gambo, Hassan; Yusuf, Onimisi M; Abdulkadir, Gidado S; Haruna, Ali; Akinade, Bankole J; Onma, Akusu C; Madugu, Muhammed L; Usman, Sakinat L
International Journal of Applied Sciences and Smart Technologies Volume 06, Issue 2, December 2024
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v6i2.8686

Abstract

9,10-Diphenylanthracene belong to a class of polymer-based materials featuring a π-bonded molecules (organic semiconductors). We conducted a theoretical investigation into 9,10-DPA in both neutral and ionic states using Density Functional Theory (DFT) implemented in the Gaussian 09 package. The calculations employed B3LYP/6-31+G(d) and B3LYP/6-311++G(d,p) basis sets. The study focused on evaluating structural properties, electronic properties, global chemical reactivity descriptors and IR spectra of 9,10-DPA. These assessments aimed to elucidate the reactivity, stability, and conductivity of this molecule. The results reveal that charging influences the structural, electronic, and global index of the molecule. The analysis of bond lengths and angles emphasized that the following bond length R(C7-H18), R(C8-H19), R(C12-H26) and R(C13-H27) exhibits greater bond energy and strength in both neutral and ionic stats because of having shorter bond length than the remaining regardless of the chosen basis set. In the case of energy gap, the anionic alpha molecular orbital exhibits lower stability of having the lowest energy gap of 1.3679eV, indicating higher reactivity and conductivity among the entire MO and is supported by a higher softness value (1.15eV) and higher chemical potential (1.39eV). The cationic beta molecule exhibited stronger electron-attracting power because of having higher electronegativity (9.00eV), lower chemical potential (-9.00eV) and higher electrophilicity index (36.81eV). The vibrational analysis shows that the anionic molecular state possessed the highest IR absorption which occurred at the frequency of 1346.96cm-1. Overall, the findings underscore the importance of charge state in enhancing the electronic properties and the reactivity of these molecules for various applications in the field of organic electronics.Keywords: 9,10-Diphenylanthracene, ionization potential, electron affinity, global chemical index, infrared spectra, density of state
Quantitative Analysis of Magnetohdrodynamic Sustained Convective Flow via Vertical Plate Kirubaharan, D R; Subhashini, A D; Babu, Narendra V.N; Murali, Gundagani
International Journal of Applied Sciences and Smart Technologies Volume 06, Issue 2, December 2024
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v6i2.9171

Abstract

In this paper, the effects of heat and mass transfer on MHD flow in an incompressible, heated fluid that has been accelerated to a steady free stream are investigated. It examines mass movement in a magnetic field as well as heat absorption qualities. In the model, non-linear governing equations and the Laplace transform method are applied. The relationship between temperature, concentration, and velocity and flow parameters is illustrated by studies utilizing parametric data.Keywords: Magnetohdrodynamics, Laplace Transform method, Free Convection, vertical Plate
Essay Answer Detection System Uses Cosine Similarity and Similarity Scoring in Sentences Yuliyanti, Siti; Ula, Diah Hidayatul
International Journal of Applied Sciences and Smart Technologies Volume 06, Issue 2, December 2024
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v6i2.9152

Abstract

Essay exams are often an option to evaluate a person's understanding and interpretation of the material they have studied, rather than simply testing knowledge or understanding through essay exams that still rely on manual methods. The disadvantage of manual assessment is that it is prone to errors due to variations between examiners in providing assessments, coupled with the number of questions that must be assessed which is sometimes quite large, so it takes significant time. So this research carried out the development of an application with an automatic answer correction model with cosine similarity to measure how similar or how far two vectors are in multidimensional space. The result, system's potential in educational contexts was demonstrated by testing it on essay responses. To improve accuracy and usability, future developments could use sophisticated text scoring algorithms and provide more features. This study highlights the importance of automated grading systems for optimizing essay scoring in educational settings while maintaining scalability and reliability. Keywords: essay exams, automated grading, essay checker, cosine similarity
An Analysis of Principals’ Digital Literacy Capabilities as Instructional Leaders in Indonesia Dwiniasih, Dwiniasih; Jaja, Jaja; Raharjo, Jajo Firman
International Journal of Applied Sciences and Smart Technologies Volume 06, Issue 2, December 2024
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v6i2.8843

Abstract

The role of principals as instructional leaders requires them to continuously improve their skills in designing and implementing 21st-century learning. This involves developing their digital literacy capabilities as part of technology integration. This research is a case study that aims to analyze the digital literacy capabilities of principals in Kuningan and Cirebon, Indonesia, as instructional leaders in designing and implementing 21st-century learning. The participants of this study were 20 elementary school headmasters. To collect the data, the authors used a teacher observation checklist, with the observer being the teacher in charge of the training. The results of this study showed that the headmasters, as supervisors and instructional leaders, had strong digital literacy capabilities. They were able to easily use technology, and the applications were clear and understandable to them. Furthermore, the participants found it easy to become skilled with the system, learn to operate it, and interact with it. They also showed high mental effort, required much care and attention, and found it easy to navigate and remember how to perform tasks with the system. Overall, this study highlights the importance of developing digital literacy capabilities among instructional leaders, particularly in the context of 21st-century learning. The study provides insights for educators and policymakers on how to support principals in improving their digital literacy capabilities to serve as effective instructional leaders in the digital age. Keywords: Digital Literacy, instructional leaders, principals’ capabilities
Evaluating The Performance of DWT-DCT Feature Extraction in Guitar Chord Recognition Sumarno, Linggo
International Journal of Applied Sciences and Smart Technologies Volume 06, Issue 2, December 2024
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v6i2.9972

Abstract

This study presents advancements in audio signal processing techniques, specifically in enhancing the efficiency of guitar chord recognition. It is a continuation of the previous studies, which also aim at minimizing the feature extraction length with the intended performance. This study adopted two signal processing techniques that are common: Discrete Wavelet Transform (DWT) and Discrete Cosine Transform (DCT) for use in the feature extraction method. By conducting a systematic evaluation of two key parameters: frame blocking length and wavelet filter selection, a significant achievement could be achieved. The recognition system managed to obtain chord recognition with an accuracy of up to 91.43%, by using a feature extraction length of only three, which brought about smaller representation than the previous studies. The outcome of this study will help improve the data processing, which can be applied in real time, in this case in Field Programmable Gate Array (FPGA)-based chord recognition systems. Keywords: chord recognition, Discrete Wavelet Transform, Discrete Cosine Transform, feature extraction
Comparative Analysis of Three Solid Waste Management Systems Towards Full Automation Omiyale, Abolade David; Ogunwolu, Ladi F.; Ajibola, Olawale Olaniyi
International Journal of Applied Sciences and Smart Technologies Volume 06, Issue 2, December 2024
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v6i2.9153

Abstract

This study uses a four-week simulation to evaluate traditional, semi-automatic, and autonomous waste management systems, employing Principal Component Analysis (PCA), Discrete Event Simulation (DES), and an ANOVA test. PCA was used to visualise and understand the variations in waste collection volumes between the three systems, with the first two principal components accounting for 100% of the variance (PC1: 56.3%, PC2: 43.7%). Each system was classified into distinct clusters: traditional in the lower-left quadrant, semi-automatic in the upper-left and lower-right quadrants, and autonomous in the upper-right quadrant, with ANOVA indicating significant variations. DES simulated everyday waste collection for 120 days. The traditional system collected an average of 50 kg/day with a 10-kilogramme variance, the semi-automatic 48 kg/day with an 8 kg variability, and the autonomous 45 kg/day with a 5 kg variability. The total waste collected was 6012.34 kg (traditional), 5824.29 kg (semi-automatic), and 5482.67 kg (autonomous). Fuel consumption, cost savings, and environmental impacts were analyzed. The autonomous system showed the lowest fuel consumption and highest cost savings, significantly reducing carbon emissions compared to others. The results from PCA and DES, supported by ANOVA, indicate that while the traditional system is most efficient in waste collection, the autonomous system offers consistent performance and significant environmental benefits. This comprehensive analysis provides valuable insights for optimizing waste management strategies and balancing efficiency, cost, and environmental impact. Keywords: Solid waste management, Autonomous systems, urbanization, environmental impact, and Sustainability.

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