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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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A Deep Learning Model for Identical National Flag Recognition in Selected African Countries Aworinde, Halleluyah Oluwatobi; Oladimeji, Oladosu; Adebayo, Segun; Akinwunmi, Akinwale; Sakpere, Aderonke Busayo; Oladimeji, Olayanju
International Journal of Applied Sciences and Smart Technologies Volume 05, Issue 02, December 2023
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v5i2.6452

Abstract

The national flags are among the symbolic representations of a country. They make us understand the country of interest in a particular issue. Therefore, they are commonly used in both private and government organizations. It has been discovered in recent times that the younger generation mostly and idly and spend its time online; hence, knowing little about national flags. Additionally, some national flags (particularly in West Africa) are identical in nature. The likeness is in terms of layout, colours, shapes and objects on the national flags. Hence, there is a need to have a model for flag recognition. In this paper, national flag images of some West African countries were gathered to form a dataset. After this, the images were preprocessed by cropping out the irrelevant parts of the images. VGG-16 was used to extract necessary features and to develop the deep learning model. This contrasted with the existing handcrafted feature extraction and traditional machine learning techniques used on this subject matter. It was observed from this study that the proposed approach performed excellently well in predicting national flags; with an Accuracy of 98.20%, and an F1 score of 98.16%. In the future, it would be interesting to incorporate the national flag recognition into Human-Computer Interaction System. For instance, it could be used as flag recognition in some mobile and web applications for individuals with colour blindness. This research work presents a robust model because of nature of the dataset used in this work compared to previous works.
Expected Value of the Occupation Times of Brownian Motion Suryawan, Herry Pribawanto
International Journal of Applied Sciences and Smart Technologies Volume 06, Issue 1, June 2024
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v6i1.7376

Abstract

Occupation times of a stochastic process describes the amount of time the process spends inside a spatial interval during a certain finite time horizon. It appears in the fiber lay-down process in nonwoven production industry. The occupation time can be interpreted as the mass of fiber material deposited inside some region.  From application point of view, it is important to know the average mass per unit area of the final fleece. In this paper derive an expression for the expected value of the occupation times in terms of Gaussian error functions.
Traditional Cultural Learning System for Batak Toba Wedding Using Multimedia Approach Samosir, Ridha Sefina; Adriel, Varian
International Journal of Applied Sciences and Smart Technologies Volume 05, Issue 02, December 2023
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v5i2.6170

Abstract

Indonesia is a country with diverse cultures. Indonesia comprises numerous tribes include Batak Toba. The Batak Toba people actively practice their traditional rituals, including wedding ceremonies. Their traditional wedding ceremony involves several rituals, symbols, and attributes with different meanings. Moreover, the Batak Toba people spend considerable amounts of time on their traditional wedding ceremony. Today, learning resources for traditional rituals, attribute, and other can be accessed through experts’ knowledge, video tutorials, and scientific journal. However, all sources have failed to attract attention. Thus, only a few generations are concerned with and interested in studying culture. The research objective is to develop a system based on multimedia approach that provide learning materials about traditional rituals of Batak Toba wedding ceremony. The multimedia development life cycle method is used for system development. Furthermore, the conclusion of this research shows that multimedia such as images, audio, video, and animation can attract anyone to learn about cultural.
Analysis of Spiral Pump Discharge Based on Simulation of Fluid Flow in Hoses Luntungan, Hengky; Tangkuman, Stenly; Gede, I Nyoman
International Journal of Applied Sciences and Smart Technologies Volume 05, Issue 02, December 2023
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v5i2.7471

Abstract

One of the uses renewable energy is the use of a spiral pump with a water wheel as the driving force. Spiral pumps are classified as environmentally friendly technology because they do not require electricity or fuel. The spiral pump consists of two main parts, namely the water wheel and the hose that is wrapped around both sides of the water wheel.The aim of this research is to analyze the water discharge of a spiral pump based on fluid flow simulation in the hose. This research utilizes advances in computational fluid dynamic (CFD) simulation methods using software.The determination method proposed in this research has been applied to a waterwheel model with a diameter of 1.2 m and a width of 0.6 m. For hoses, diameters of ½, ¾, 1, 1½, and 2 inches are determined, while the river flow speed is 0.9 m/s. For a hose diameter of 2 inches, the initial flow velocity in the hose is 0.38 m/s and the final velocity at the hose outlet is 0.452 m/s. The largest pump discharge was obtained at a hose diameter of 2.0 inches, namely 0.00183 m3/s.
Characteristics of Straight Trapezoidal Cross-Sectional Fins under Unsteady Conditions Seen, Michael; Purwadianto, Doddy; Dyaksa, Gilang Argya; Winarbawa, Heryoga; Rines, Rines; Mardikus, Stefan; Kusbandono, Wibowo; Lukiyanto, Y. B.
International Journal of Applied Sciences and Smart Technologies Volume 06, Issue 1, June 2024
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v6i1.7989

Abstract

The aim of this research is to understand the characteristics of fins with a trapezoidal cross-section. The shape of the fin's cross-section is one of the influential factors affecting fin characteristics. In the design of fins, it is crucial to comprehend the characteristics of the fin as they relate to temperature distribution, heat transfer rate, and the efficiency of the fin. The research was conducted using numerical computation with an explicit finite difference method. Variations were made in the length of side 3 of the trapezium to 0 m, 0.02 m, and 0.04 m. The research results indicate that increasing the width of the fin enhances the temperature distribution, flow rate, and efficiency achievable by the fin. Significant improvement occurred when varying the side length from 0 m to 0.02 m, whereas subsequent variations did not considerably alter the efficiency. The highest efficiency achieved was 0.90 when the length of side 3 was 4 cm at the 300 seconds.
Detailed Review on The Denial of Service (DoS) and Distributed Denial of Service (DDoS) Attacks in Software Defined Networks (SDNs) and Defense Strategies Tamakloe, Elvis; Kommey, Benjamin; Akowuah, Emmanuel; Opoku, Daniel
International Journal of Applied Sciences and Smart Technologies Volume 05, Issue 02, December 2023
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v5i2.6380

Abstract

The development of Software Defined Networking (SDN) has altered the landscape of computer networking in recent years. Its scalable architecture has become a blueprint for the design of several advanced future networks. To achieve improve and efficient monitoring, control and management capabilities of the network, software defined networks differentiate or decouple the control logic from the data forwarding plane. As a result, logical control is centralized solely in the controller. Due to the centralized nature, SDNs are exposed to several vulnerabilities such as Spoofing, Flooding, and primarily Denial of Service (DoS) and Distributed Denial of Service (DDoS) among other attacks. In effect, the performance of SDN degrades based on these attacks. This paper presents a comprehensive review of several DoS and DDoS defense/mitigation strategies and classifies them into distinct classes with regards to the methodologies employed. Furthermore, suggestions were made to enhance current mitigation strategies accordingly.
Mobile Forensic Investigation on iOS & Android Smartphones: Case Study Investigation on WhatsApp Zakarneh, Shadi Khaled
International Journal of Applied Sciences and Smart Technologies Volume 06, Issue 1, June 2024
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v6i1.6770

Abstract

Following the exponential growth of information and communication technologies, the smartphone market, as well as advances in wireless data networks (3G and 4G), has accelerated. Mobile apps for social networking and instant messaging have been created by these firms. Other instant messaging (IM) smartphone programs like WhatsApp (WA), Viber, and IMO have also been created. WA is the most widely used instant messaging program. With WA, you can send and receive messages in a variety of formats, including text, voice, video, and documents. Various cybercrime incidents were committed through WA's. WA use leaves several artifacts that may be examined to detect the digital evidence. In addition, iOS and Android are two of the most popular smartphone operating systems. Because of this, the inquiry will involve the use of forensic investigative techniques and methodologies. Forensics on both iOS and Android cellphones were utilized to investigate a digital crime that was believed to have been perpetrated in WA. To conclude the investigation, we analyzed chat logs, phone records, and other media to gather proof. Legal framework and established processes were used to guarantee that evidence was preserved from change or destruction and that the witness's account was acceptable in court throughout the investigative process. It was finally stated that the inquiry and evidence had been presented. As a result, WA forensic artifacts might be evaluated and found effectively utilizing the mobile forensic procedure.
Analysis of Blasting Geometry on Blasting Production Results at PT Semen Bosowa Maros Munir, Abdul Salam; Asmiani, Nur; Jafar, Nurliah; Wakila, Muhamad Hardin; Gouw, Jihan Fitri Ramdita Putri
International Journal of Applied Sciences and Smart Technologies Volume 05, Issue 02, December 2023
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v5i2.6423

Abstract

Limestone mining for cement plants uses a blasting method to break the material. Blasting production is considered successful when it can achieve production targets based on tonnage of uncovered rock, efficient use of explosives, grain size or rock fragmentation, and environmental impact. This research aims to analyze the blasting geometry on the production results at the research location by knowing the initial design, the actual blasting geometry, and the geometry recommendation using the C.J. Konya method. In addition, researchers also know the explosives used, the production results in the form of material fractionation using the Kuz-Ram method and the tonnage of uncovered rocks. The initial design with a burden of 3.4 m, spacing of 3.4 m, hole depth of 5.9 m, and ANFO explosives per hole of 33 kg produced 147.31 tonnages. The actual geometry with a burden of 1.7 m, spacing of 3.5 m, hole depth of 6.0 m and ANFO explosives per hole of 26.73 kg produced a 77.11 tonnage. The actual geometry resulted in a blasting production of 6,941 tonnes per day, which did not meet the company's production target 10,639. The fragmentation calculation results obtained an average size in the field of 15.29 cm, which meets the required screening or sieve criteria of 0.80 - 1.00 m. The size of the fragments also follows the sieve calculation using the Kuz-Ram method, with a 100 cm sieve passing only 0.01%. Based on this, the company is recommended to make geometry changes to achieve the production tonnage target that has been set.
Comparison of the mass composition of Coconut Shell in TiO2 towards its characterization for supercapacitor applications Siagian, Sinta Marito; H. S, Samaria Chrisna; Tampubolon, Ferdinan Rinaldo; Juanta, Palma
International Journal of Applied Sciences and Smart Technologies Volume 06, Issue 1, June 2024
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v6i1.7417

Abstract

This study aims to evaluate the effect of the mass ratio on the capacitance of electrodes made from TiO-based composites. The composites were synthesized using a wet chemical method and applied using the doctor blade technique, incorporating TiO2 and rGO derived from coconut shell activated carbon. Our findings reveal that at a 1:1 mass ratio, the atomic composition of Ti and O was non-uniform, although there was evident adherence of TiO2 elements to the sample surface. In contrast, at mass ratios of 1:3 and 1:5, a decrease in the concentration of Ti atoms and an increase in O atoms were observed, indicating a reduction in Ti oxidation. SEM analysis further revealed that particle size significantly impacts capacitance: smaller particle sizes yielded higher capacitance. In the 1:1 mass variation, the discharge process was protracted, taking up to 29.3 minutes and generating an electrical energy of 0.000413 joules with a capacitance of 489 µF. These insights are pivotal for optimizing the composition and mass ratio, fostering the development of electrode materials characterized by enhanced capacitance and energy efficiency. Such advancements hold promising potential for a range of applications in the energy storage sector.Keywords: Activated Carbon, Capasitance, Supercapacitor
Clustering and Trend Analysis of Priority Commodities in the Archipelago Capital Region (IKN) using a Data Mining Approach Pangestu, Pandu; Maarip, Syamsul; Addinsyah, Yuldan Nur; Purwayoga, Vega
International Journal of Applied Sciences and Smart Technologies Volume 06, Issue 1, June 2024
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v6i1.7798

Abstract

The policy of moving the capital from Jakarta to East Kalimantan planned by the President of the Republic of Indonesia Joko Widodo has caused a lot of polemic among the public. There are quite a few positive and negative comments on social media regarding the policy of moving the capital. The process of moving the capital requires careful preparation. One thing that needs to be considered is food security in IKN. This research provides recommendations for the main food commodities in IKN by applying data mining. We collect food productivity data available on the official website for East Kalimantan province. These data are processed and grouped into two groups, namely horticulture and livestock products using the K-Means method. After grouping, we predict the increase in productivity of each group using the ARIMA method. This research produces output in the form of grouping commodities into horticulture and livestock products. Productivity results for each type of commodity are displayed from 2016 to 2020 based on data on the official East Kalimantan Province website. Based on this data, predictions are made using the ARIMA method to predict productivity results from 2021 to 2025. Commodities with total productivity are grouped into high-priority commodities. Grouping the amount of productivity is carried out using the clustering method by comparing the amount of productivity for each commodity and producing commodities that are low priority, middle priority, priority and top priority based on the highest to lowest productivity numbers. The cluster quality for grouping horticultural commodities is 99.1%, while the cluster quality for grouping livestock commodities is 87.5%. Hasil prediksi terbaik yaitu ketika memprediksi produksi salak dan slaughter cattle dengan model ARIMA (0, 1, 0) dan ARIMA (2, 2, 2).

Page 12 of 19 | Total Record : 183

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