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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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The Effect of Gamma Irradiation as A Food Preservation Technology on The Shelf Life and Quality of Fresh-cut Watermelon Adeska, Rieka Arkaninto; Octaviany, Nur; Saragih, Renaldy Bernardo; Andrianti, Retno; Ridho, Ridho; Darojati, Harum Azizah; Ariyanti, Dhita
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.v6i2.9256

Abstract

Several methods for preserving food, particularly fresh fruit, aim to extend shelf life without compromising nutritional value. Food preservation technology utilizing irradiation techniques ensures food safety and stability by eliminating microbes and microorganisms while preserving nutrients. This study investigates the food preservation process using gamma irradiation, analyzes the physical changes in irradiated food over time, and examines the effects of varying gamma irradiation doses on the weight loss and shelf life of fresh-cut watermelon. The research method involves gamma irradiation at doses of 1, 1.5, 2, 2.5, and 3 kGy. Findings indicate that gamma irradiation at these doses affects the weight loss of fresh-cut watermelon. The highest weight loss, approximately 87.36%, was observed at a dose of 3 kGy, indicating significant cellular and membrane damage. Furthermore, high-dose irradiation leads to nutrient degradation and accelerates water loss, resulting in physical changes in fresh-cut watermelon, such as increased softness, wateriness, and odor.Keywords: Food irradiation, Food preservation, Watermelon.
Red Wine Classification Using SVM and RBF Kernel Hutabarat, Kevin Silvanus; Kumalasanti, M.T., Rosalia Arum
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.v6i2.7416

Abstract

Today’s cultural diversity has influenced lifestyle, especially at the time of certain events. Food and drink are important in the event. Quality food is a key ingredient in a person’s eating. Red wine is one of the most popular beverages in the West because of its cold climate but today Red wine has become a popular drink not only among Western countries. The love of red wine should also be balanced with his knowledge of the quality of the beverage because it has various variations. The duration of fermentation and the materials used will give different quality products. Nowadays technology is present to provide solutions to these problems by using the SVM algorithm on Machine Learning. The approach is carried out by performing several experiments to obtain optimal evaluation results. The study has achieved accuracy of 90.93%, precision of 72.5% and recall of 61.70%.Keywords: SVM, machine learning, accuracy, precision, recall
Inorganic Geochemistry of Coal from Patappa Village, Bone District, and Masenrengpulu Village, Barru District, South Sulawesi Province Using XRF Method Anshariah, Anshariah; Thamsi, Alam Budiman; Tholib, Mohammad
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.v6i2.7159

Abstract

The chemical composition of coal is almost the same as that of plant tissue, containing the main elements of elements C, H, O, N, S, and P. An in-depth study of coal inorganic compounds is needed because coal inorganic compounds are the primary variable in ash formation during coal combustion. This study uses the X-ray fluorescence method to reveal the differences and similarities in inorganic chemical composition contained in coal in Bone Regency and Barru Regency. Coal in Masenrengpulu Village has the Al2O3 compound as the most dominant compound, while coal in Patappa Village has the SiO2 compound as the most prevalent compound. The concentration of inorganic sulfide minerals in the village of Masenrengpulu was influenced by igneous rock intrusion and deposition processes. In contrast, the deposition process only affected the inorganic sulfide minerals of coal in Patappa village. The significant elements found in coal in the Masenrengpulu and Patappa Villages are Si, Al, Fe, S, Ca, K, and Ti. Coal inorganic sulfide minerals in Masenrengpulu Village with Patappa Village have high concentrations in the bottom channel of the coal seam and a low concentration in the middle channel and top of the seam. Coal inorganic sulfide minerals in Masenrengpulu Village and Patappa Village have high concentrations in the coal seam's lower channel and low concentrations in the middle and upper channels. Keywords: Coal Comparison, Mallawa Formation, XRF, Inorganic Geochemistry.
Evaluation of Tartrazine Solution as a Potential Gamma Dosimeter Material Arumbifa, Farhansyah Yunandani; Kurniawan, Deni; Diani, Desalsa Anggoro; Praja, Dika Bhakti; Ajri, Fauziah Ulfah; Dewi, Ariyani Kusuma; Ariyanti, Dhita
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.v6i2.9283

Abstract

Radiation dosimetry plays a crucial role in various fields, including medical, industrial, and environmental applications. Accurate and reliable dosimeters are essential for measuring and controlling radiation exposure. This study aims to evaluate the stability of the food dye tartrazine as a potential gamma radiation dosimeter. The need for accessible and cost-effective dosimetric materials motivates the exploration of tartrazine's capabilities in this regard. This research investigates the response of tartrazine solutions under varying gamma radiation doses (0 to 3.118 kGy) using UV-Vis spectrophotometry to measure absorbance at a wavelength of 424 nm. The results demonstrate a significant decrease in absorbance with increasing radiation doses, indicating decolorization due to oxidative reactions triggered by hydroxyl radicals (OH·) generated during irradiation. Tartrazine, which imparts a yellow color through its diazenedyl (-N=N-) bonds, undergoes bond cleavage upon gamma radiation exposure, resulting in a permanent color change. Further analysis reveals that tartrazine-based dosimeters exhibit optimal stability for less than four weeks. Therefore, tartrazine solution can serve as an effective gamma radiation dosimeter for short-term applications. This study provides a foundation for developing new dosimetric materials, emphasizing the importance of ongoing research to enhance radiation safety and measurement accuracy.Keywords: Dosimeter, Gamma Irradiation, Radiation, Stability, Tartrazine.
Effect of Hyperparameter Tuning on Performance on Classification model Sholeh, Muhammad; Lestari, Uning; Andayati, Dina
International Journal of Applied Sciences and Smart Technologies Volume 07, Issue 1, June 2025
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v7i1.11735

Abstract

This research aims to analyze the effect of hyperparameter tuning on the performance of Logistic Regression, K-Nearest Neighbours, Support Vector Machine, Decision Tree, Random Forest, Random Forest Classifier, Naive Bayes algorithms.  These six algorithms were tested both using hyperparameter tuning and not using hyperparameter tuning. The dataset used in this research is a public dataset, namely the heart datasheet. This datasheet contains information about features related to the diagnosis of heart disease. Hyperparameter tuning is performed using a grid search technique to determine the best combination of hyperparameter values that can improve model accuracy. Performance comparison is done by measuring the accuracy, precision, recall, and F1-score of each algorithm before and after tuning. The research method follows the stages in the Knowledge Discovery in Databases (KDD) methodology. The KDD methodology consists of several stages of data collection, data cleaning to remove errors, data integration from various sources, and data selection and transformation to be ready for analysis. Next, data mining is performed to find patterns or relationships in the data and evaluation and interpretation of the results to ensure their validity. The results show that hyperparameter tuning applied to the six algorithms does not necessarily improve performance. In the algorithm. SVM and decision tree algorithms, the performance results before hyperparameter tuning actually have a higher accuracy value. The performance of algorithms that experienced an increase after hyperparameter tuning was logistic regression and K-Nearest neighbours. The same performance results are generated in the Random Forest and Naive Bayes algorithms. Based on testing the six algorithms and using the heart datasheet, the hyperparameter tuning process does not always result in a better performance value.
Assessing Impact of Public Transportation Services on Traffic Jam in Dhaka City Khan, Md. Tanjil Mahmud
International Journal of Applied Sciences and Smart Technologies Volume 07, Issue 1, June 2025
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v7i1.9949

Abstract

This study used JASP Software for descriptive analysis and Chi-square tests. I surveyed 100 people of different backgrounds and age for their opinions. It determined that 56% of respondents were dissatisfied with the public transportation service, and 69% used public transportation daily. According to this study, 82% of people regularly experience traffic jams because it is hard to get to places, especially in places like Mirpur. Even though 64% of those who responded used buses as public transport, but only 18% wanted more buses to help ease traffic. They would rather see digital transportation systems, awareness and safety improvements. Notably, 80% of those who answered think improving public transportation services could help reduce the traffic jams in Dhaka city.
Topology Optimization of Rear Sprocket of Electric Prototype Vehicle Winarbawa, Heryoga
International Journal of Applied Sciences and Smart Technologies Volume 07, Issue 1, June 2025
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v7i1.12355

Abstract

Kompetisi Mobil Hemat Energi (KMHE) competes for energy efficient vehicles, which are composed of integrated energy-saving systems. One of the systems that is required to be energy efficient is transmission. The transmission discussed in this study is the sprocket chain transmission system. The rear sprocket is an object that needs to be optimized to obtain a lighter mass, thus efficient in terms of overall weight. Using topology optimization via CAD software, rear sprocket mass can be reduced. The results of topology optimization are used as a reference for changing the shape of the sprocket face, to make it easier in terms of fabrication. These results were then re-tested with static simulations to ensure its strength. The conclusion is that the latest sprocket design has a mass reduction of 66% of its original version and the von Misses stress was only 55% of the yield strength at most.
Comparison of SVM, K-NN, RF, CART, and GNB Algorithms for Water Bodies Detection Using Sentinel-2 Level-2a Imagery in Nakhon Pathom, Thailand Nita Nathalia, Ni Putu; Andra Rizqy Wijaya, Gede; Yota Ernanda Aryanto, Kadek; Novita Puspa Dewi, Ni Putu; Hendra Saputra, Putu; Karisma Dewi, Ni Putu; Damayanti, Mellisa; Losinanda Prawira, Kadek
International Journal of Applied Sciences and Smart Technologies Volume 07, Issue 1, June 2025
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v7i1.11608

Abstract

Satellite imagery is utilized in various fields, one of which is land use and land cover (LULC) analysis. This study aims to classify water bodies using machine learning models such as SVM, K-NN, RF, CART, and GNB. The data source is obtained from the Google Earth Engine (GEE) platform using Sentinel-2 Level-2A satellite imagery, with a dataset of 5,514 data points per year. The Pixel-Based approach is used as the main method for data extraction, while CRISP-DM is applied as a structured methodology for data management. The parameter indices used include the BSI, NDBI, MNDWI, NDVI and AWEIsh. The results of these calculations serve as dataset features for training algorithms in the model development and training process. Each model has its own parameters, making parameter selection crucial in the training process. Model evaluation is conducted using a confusion matrix. Based on confusion matrix analysis, accuracy, precision, recall, and F1-score are calculated. Among the five models, SVM achieves the highest accuracy at 87%, followed by RF and K-NN. This indicates that the SVM model performs better in binary classification. Ground truth analysis is also conducted using the QGIS platform, which visualizes the classification results, with SVM providing the best visualization.
Efficient Design of Reinforced Columns: Insights into Lateral Confinement and Performance Singha, Badhon; Chowdhury, Nafis Niaz; Sakib, Mohammad Atiqur Rahman
International Journal of Applied Sciences and Smart Technologies Volume 07, Issue 1, June 2025
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v7i1.10376

Abstract

In structural engineering and architecture, a column is a vertical load-bearing member crucial for supporting compressive loads. Reinforced concrete columns consist of both confined and unconfined concrete. Pioneering experiments by Mander et al. (1988a) (Observed stress–strain behavior of confined concrete, 1988a) and (1988b) (Theoretical stress-strain model of confined concrete., 1988b) scrutinized the performance of columns under seismic strain rates, revealing that optimal performance is achieved through meticulous identification of maximum stress and strain locations. The initial stage is to realize the specified attributes derived from SAAP200, which are then included into the ABAQUS finite model simulation. A Validation was conducted by finite model simulation process in Abaqus by comparing results with those presented by Guadagnuolo et al. (2020) to assess the accuracy and reliability of the methodology. The resulting Load vs Displacement relations are then subjected to validation based on property-centric criteria. The efficacy of outcomes is highlighted by presenting distinct load vs displacement curves for concrete columns at various pitch distances. Excessive spacing between hoops can result in early spalling and reduced strength, whereas an increased hoop area in the intermediate zone improves both load-carrying and deformation capabilities.
Analysis of Spiral Pump Head Based on Water Wheel Parameters Luntungan, Hengky; Tangkuman, Stenly; Maluegha, Benny Lokombanua
International Journal of Applied Sciences and Smart Technologies Volume 07, Issue 1, June 2025
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v7i1.10383

Abstract

Water supply is a crucial factor for farmers in managing agricultural land, especially those relying on river water sources. The lower position of rivers and the considerable distance from the fields often pose challenges, making water pumps powered by electricity or fuel a common choice, despite their high operational costs. To address this issue, the utilization of renewable energy through the use of a spiral pump powered by a water wheel is proposed. The spiral pump is considered an environmentally friendly technology as it does not require electricity or fossil fuels. This study aims to analyze the head of a spiral pump based on the parameters of an undershot water wheel as preparation for the design of the spiral pump. In this study, a significant decrease in discharge value was observed from a head of 0.5 m up to a head of 3 m; in contrast, from a head of 3 m to 10 m, the discharge value decreased gradually. For small agricultural land or household needs, this spiral pump water wheel would be suitable at a maximum head of 5 m with a discharge value of 0.53 L/s. The results show a negative correlation between the head of the spiral pump and the discharge produced, where an increase in head results in a lower discharge.

Page 16 of 19 | Total Record : 183

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