International Journal of Advances in Applied Sciences
International Journal of Advances in Applied Sciences (IJAAS) is a peer-reviewed and open access journal dedicated to publish significant research findings in the field of applied and theoretical sciences. The journal is designed to serve researchers, developers, professionals, graduate students and others interested in state-of-the art research activities in applied science areas, which cover topics including: chemistry, physics, materials, nanoscience and nanotechnology, mathematics, statistics, geology and earth sciences.
Articles
680 Documents
<![CDATA[Double step method in lipid extraction from biomass Aurantiochytrium sp powder ]]>
<![CDATA[Sulistiawati, Endah]]>;
<![CDATA[Suhendra, Suhendra]]>;
<![CDATA[Setyawan, Martomo]]>;
<![CDATA[Mahsunah, Anis Herliyati]]>
<![CDATA[ International Journal of Advances in Applied Sciences Vol 12, No 4: December 2023 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijaas.v12.i4.pp376-383
<![CDATA[Aurantiochytrium sp is a marine microalgae that is rich in lipids. Extraction of lipids from microalgae requires effort to select a suitable solvent and extraction method. This research used a double-step extraction method to study a mixture of n-hexane and methanol as a solvent. The variables studied were stirring time, the n-hexane to methanol (H/M) mixture ratio, and the solvent-to-biomass ratio (S/B). This research concluded that an optimum stirring time was 30 min, and a mixture of n-hexane and methanol solvents with a volume ratio of 1:1 is optimum. The optimum solvent-to-biomass ratio was S/B=20 mL/g dry microalgae. Under these conditions, the yield of oil was 83.88%. Double-step extraction can increase the yield by 10-40%.]]>
<![CDATA[Bibliometric study of association rule-market basket analysis ]]>
<![CDATA[Yanti, Roaida]]>;
<![CDATA[Elquthb, Jundi Nourfateha]]>;
<![CDATA[Rachmadewi, Ira Promasanti]]>;
<![CDATA[Qurtubi, Qurtubi]]>
<![CDATA[ International Journal of Advances in Applied Sciences Vol 13, No 2: June 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijaas.v13.i2.pp282-290
<![CDATA[Association rule-market basket analysis (AR-MBA) is a data mining technique for finding distinguished relationship patterns from a collection of items. The application of AR-MBA is also increasingly widespread, starting from retail and hotels to hospitals. So, bibliometrics related to AR-MBA needs to be done to reveal what research opportunities can be later carried out by reviewing and analyzing publications about AR-MBA. 91 bibliographies in 1 decade from 2012-2022 were collected using Harzing's Publish or Perish (PoP). VOSviewer is also employed to map authorship and publication topic trends. This paper is innovative because it identifies trends and future research directions in data mining, specifically in association with AR-MBA. The findings show publication productivity, top authors, types of publications, annual topic trends within a decade, term distribution, most cited and most influential articles, and research gaps that can be opportunities for further research.]]>
<![CDATA[Coastal vulnerability assessment using electrical resistivity tomography in Padang Betuah, Central Bengkulu ]]>
<![CDATA[Suhendra, Suhendra]]>;
<![CDATA[Halauddin, Halauddin]]>;
<![CDATA[Lizalidiawati, Lizalidiawati]]>;
<![CDATA[Sinaga, Jesika Erni Elfrita]]>;
<![CDATA[Fadli, Darmawan Ikhlas]]>;
<![CDATA[Idris, Beni Syakban]]>
<![CDATA[ International Journal of Advances in Applied Sciences Vol 12, No 4: December 2023 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijaas.v12.i4.pp301-308
<![CDATA[Abrasion disaster in the coastal area of Padang Betuah Beach has a high level of abrasion in Central Bengkulu. The local community utilizes abrasion in the coastal area as a tourist attraction and becomes local revenue in the research location. The location that becomes a tourist attraction is decreasing because the coastal area’s land has been abraded. After conducting research using the electrical resistivity tomography (ERT) method in 2D and 3D, it was found that claystone dominated the coastal area at the research location with a resistivity value of 16-200 Ωm at a depth of 15-20 m. The coastal area in Padang Betuah Beach is composed of clay shale rocks (207-220 Ωm), and the depth is 2-14.8 m. Clay shale rocks are not abraded in stones with resistivity values >250 Ωm. This is caused by clay shale, which has low porosity, so it has a compact rock density. Seawater is identified at a depth of 21-63 m with a resistivity value of 2.225-10.2 Ωm. The depth of seawater determined follows the average height of the cliffs in the research location. The abrasion process can be slowed down by making jetties, water breakers, and mangrove cultivation.]]>
<![CDATA[Detecting and identifying occluded and camouflaged objects in low-illumination environments ]]>
<![CDATA[Bakshi, Gaytri]]>;
<![CDATA[Aggarwal, Alok]]>
<![CDATA[ International Journal of Advances in Applied Sciences Vol 13, No 1: March 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijaas.v13.i1.pp188-196
<![CDATA[One of the prevailing areas of contemporary research involves the differentiation and identification of diverse objects within a given scene through automated systems. The field of study under consideration presents a multitude of obstacles, including but not limited to issues such as diminished lighting conditions, occlusion, and camouflage. The captured image exhibits variations in illumination, resulting in uneven brightness, reduced contrast, and the presence of noise. The fundamental basis of computer vision algorithms lies in the process of extracting features from datasets and subsequently discerning these features through neural networks. The task of extracting distinct feature key points from images captured under low lighting conditions is exceedingly challenging. To address this issue, the present study seeks to employ deep learning models to implement image enhancement techniques specifically designed for low-light conditions. The primary emphasis lies in obtaining key feature points that are differentiable, thereby enabling the utilization of this annotated data for specific tasks such as object detection. The task of identifying occluded and camouflaged objects has been successfully accomplished, yielding an impressive accuracy rate of 93% in total. The mean average precision has been achieved as 85% which is reasonably high compared to many earlier works.]]>
<![CDATA[Taxonomic attribution of the haplic gleysols of the Azerbaijan Republic in world reference base for soil resources ]]>
<![CDATA[Maharram, Sultan Huseynova]]>;
<![CDATA[Ismayil, Amin Ismayilov]]>;
<![CDATA[Pirverdi, Maharram Babayev]]>;
<![CDATA[Musa, Ali Jafarov]]>
<![CDATA[ International Journal of Advances in Applied Sciences Vol 13, No 1: March 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijaas.v13.i1.pp116-122
<![CDATA[The aim of the research was to obtain new information about the genesis, status, diagnostic features, and properties of the meadow-boggy soils of the Azerbaijan Republic and to perform the taxonomic attribution of those soils in accordance with the international soil classification system in compliance with the world reference base (WRB) for soil resources. Field experiments, physical, and chemical analyses of soil samples were carried out by standard methods. The morphological properties of the meadow-boggy soils in the Greater Caucasus and Lankaran regions of Azerbaijan have been characterized. Carbonate sediments are almost always invisible in the upper layers (13.27-17.14% (No 426); 10.46-27.39% (No 5); 0.87-1.33% (No 55)). According to the humus content, they are not highly humic (1.44-1.85% (No 426); 0.90-1.58% (No 5); 3.10-3.29% (No 55) in the upper layers). The magnitude of the reaction of the soil solution varies from 8.0 to 8.5. For the first time, an attempt is made to determine the name of meadow-boggy soils in accordance with the international soil classification in compliance with the WRB 2015. The above soils are assigned to the gleysols reference soil group (RSG) with various principal and supplementary qualifiers.]]>
<![CDATA[Effect of cutting process using cutting insert of grade UTi20T ]]>
<![CDATA[Nur, Rusdi]]>;
<![CDATA[Razak, Arthur Halik]]>;
<![CDATA[Basongan, Yosrihard]]>;
<![CDATA[Faraby, Muhira Dzar]]>;
<![CDATA[Syahrisal, Syahrisal]]>;
<![CDATA[Hidayat, Asrul]]>
<![CDATA[ International Journal of Advances in Applied Sciences Vol 13, No 2: June 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijaas.v13.i2.pp401-410
<![CDATA[In the metal-cutting industry, the precision of the metal-cutting process is of paramount importance. Errors in the metal-cutting process not only lead to damage to the cutting tool but also result in the production of low-quality materials. The incorporation of insert materials in the cutting process is aimed at maintaining cutting precision and achieving superior results. This research seeks to investigate the impact of the cutting process utilizing grade KC5410 cutting insert under minimum quantity lubrication (MQL) Conditions. In this study, machining tests were conducted using the ALPHA 1350S 2-axis computer numerical control (CNC) lathe machine under MQL conditions, employing cutting tool inserts UTi20T supplied by Mitsubishi. Two types of tools were utilized in the cutting process, namely UTi20T. Critical aspects such as cutting force, total power consumption, surface roughness, and tool life were analyzed to provide comprehensive insights into the efficiency of the cutting process. The findings of this study significantly contribute to the understanding of how the integration of Grade KC5410 cutting inserts under MQL conditions can enhance the overall efficiency of metal-cutting operations. The successful machinability assessment was conducted by implementing sustainable machining practices.]]>
<![CDATA[Local area network architecture design at Nurul Jalal Islamic Boarding School, North Jakarta ]]>
<![CDATA[Sitanggang, Andri Sahata]]>;
<![CDATA[Syafariani, R. Fenny]]>;
<![CDATA[Hasti, Novrini]]>;
<![CDATA[Sari, Febilita Wulan]]>;
<![CDATA[Pasya, Dhara]]>
<![CDATA[ International Journal of Advances in Applied Sciences Vol 13, No 1: March 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijaas.v13.i1.pp123-133
<![CDATA[A computer network is a telecommunications network that allows computers to communicate with each other by exchanging data. At Nurul Jalal Islamic Boarding School, they have taken advantage of advances in computer network technology, but have not been fully connected properly. Therefore, in this research, a local area network (LAN) architecture that is connected to speedy internet will be built and developed. The design of this network architecture includes designing a connection to the internet speedy network and designing a computer lab architecture that is connected to the network at the Nurul Jalal Islamic Boarding School. This study aims to design the existing technology with the system and add technologies and systems that do not yet exist so that they can be integrated into a computer network connected to the speedy internet network. It is hoped that this research will help teachers and students of Nurul Jalal Islamic Boarding School in exploring information so that it can help effective and efficient learning.]]>
<![CDATA[Strategic electromagnetic interferences suppression in boost converters: zero-switch techniques ]]>
<![CDATA[M'barki, Zakaria]]>;
<![CDATA[Ait Salih, Ali]]>;
<![CDATA[Mejdoub, Youssef]]>;
<![CDATA[Senhaji Rhazi, Kaoutar]]>
<![CDATA[ International Journal of Advances in Applied Sciences Vol 13, No 2: June 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijaas.v13.i2.pp340-350
<![CDATA[This article delves into the growing demand for efficient power conversion technologies accompanying the rise in electric vehicle (EV) adoption. Boost converters, essential for increasing the battery pack voltage to propel EV motors, pose a challenge due to the electromagnetic interference (EMI) generated by the high switching frequency of power devices. To address this issue, practitioners employ zero-voltage switching (ZVS) and zero-current switching (ZCS) techniques. In this comparative study, we systematically evaluate the effectiveness of these soft switching techniques in reducing conducted EMI in boost converters designed for EV applications. The results illuminate the potential of both ZVS and ZCS in significantly mitigating EMI emissions when compared to conventional hard-switching methods. Notably, ZVS soft switching emerges as more efficient and effective, particularly under higher loads, while ZCS soft switching excels in reducing EMI at lighter loads. In conclusion, the study asserts that ZVS soft switching presents a more promising solution for curtailing conducted EMI in boost converters for EV applications, particularly in high-load scenarios. However, it underscores the importance of considering specific operational conditions when deciding between the two techniques.]]>
<![CDATA[Performance analysis of protection devices in electrical power distribution system: Eko Electricity Distribution Company as a case study ]]>
<![CDATA[Awuwoloye, Philip Oludele]]>;
<![CDATA[Adejumobi, Isaiah Adediji]]>;
<![CDATA[Adebisi, Oluwaseun Ibrahim]]>;
<![CDATA[Ismaila, Salami Olasunkanmi]]>
<![CDATA[ International Journal of Advances in Applied Sciences Vol 12, No 4: December 2023 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijaas.v12.i4.pp361-367
<![CDATA[One of the major challenges hindering the effective operation of the electricity distribution system is the malfunctioning of the protection scheme. Therefore, in this study, the performance of an interrupter (oil circuit breaker (OCB)) on the Eko Electricity Distribution Company (EKEDC) network was assessed. Five-year outage data (2014 to 2018) regarding tripping of the interrupter on fault and health conditions were collected from the EKEDC Agbara/Badagry Business Unit. The tripping frequency was compared. Inspection of selected OCBs within the considered network was conducted over the study period. A breakdown voltage (BDV) test was carried out on six oil samples each for 11 and 33 kV OCB using Megger OTS60PB. The highest tripping frequency of 75 and 10 were observed in 2014 and 2018 respectively when the interrupter tripped on fault and healthy conditions. The lowest tripping frequency was, however, observed in 2018 with values of 46 and 7 respectively when the interrupter tripped on fault and healthy conditions. The inspection conducted revealed carbonized OCB contacts. The BDV test showed that two oil samples each violated the standard value of 40 kV for 11 and 33 kV OCBs respectively. This study indicated that the defective oil samples required filtration or complete replacement.]]>
<![CDATA[An improved golden jackal optimization algorithm for combined economic emission dispatch problems ]]>
<![CDATA[Ragunathan, Ramamoorthi]]>;
<![CDATA[Ramadoss, Balamurugan]]>
<![CDATA[ International Journal of Advances in Applied Sciences Vol 13, No 2: June 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijaas.v13.i2.pp249-259
<![CDATA[In this research paper, a new improved golden jackal optimization (IGJO) algorithm is applied to address the combined economic emission dispatch (CEED) problem, along with various thermal generator constraints such as valve point loading (VPL) effect, generator limits (GL) in power system. The hunting behavior of the golden jackals is mimicked in the golden jackal optimization (GJO) algorithm. The main aim of the CEED problem is to find the best optimal generation scheduling while minimizing both fuel cost and emission besides meeting the different power system constraints. The original GJO algorithm faces challenges when dealing with high-dimensional optimization problems, as it tends to get trapped in local optima. To address this issue the opposition-based learning (OBL) method was adopted in this GJO algorithm to obtain the global optimal solution and ensure enhanced performance in finding the solution for the CEED problems. To assess the competitiveness of the IGJO algorithm, it is used for various CEED test problems available in the literature, and results are contrasted with other recent heuristic optimization algorithms. Simulation results show that the proposed IGJO performs more effectively than the other compared algorithms in terms of solution quality, and robustness.]]>
