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International Journal of Advances in Applied Sciences
Published by Institute of Advanced Engineering and Science
ISSN : 22528814     EISSN : 27222594     DOI : http://doi.org/10.11591/ijaas
Core Subject : Science, Education, Social,
Earth & Planetary Sciences Environmental Science Materials Science & Nanotechnology Mathematics Physics
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.
Arjuna Subject : -
Articles 680 Documents
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Nutritional evaluation of spent and uninoculated mushroom substrate of Pleurotus ostreatus grown on cassava peels and sawdust Samuel Echezonachi Okere; Frank Ojiako; Chinyerum Gloria Ikechi-Nwogu; Chinwendu Augustina Ojiaku; Nkechi Udochukwu Ezechike
International Journal of Advances in Applied Sciences Vol 12, No 1: March 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v12.i1.pp1-6

Abstract

This study aims to evaluate the role of edible fungi in the biodegradation of mushroom substrate by comparing the mineral and proximate composition of a pasteurized substrate before inoculation (BI) with the spent mushroom substrate (SMS) of Pleurotus ostreatus cultivated on cassava peels and sawdust. The experiment was conducted at the Federal University of Technology, Owerri, Imo State Nigeria. The treatment for this investigation comprised different levels of wheat bran namely: T1 (C/N 17:0 in the control), T2 (C/N ratio 17:1), and T3 (C/N ratio 17:3). 2% lime was added to the substrate to stabilize the pH. The experiment was laid out in a completely randomized design (CRD) which was replicated three times. The mineral and proximate compositions were determined using standard procedures. The data generated were subjected to analysis of variance (ANOVA) at (p = 0.05). The result obtained from this investigation reviewed that the mineral composition before substrate inoculation was significantly higher than those obtained from the SMS which were in the range: of Na (0.10-0.17 mg/kg), Mg (0.25-0.40 mg/kg), Ash (1.56-2.65%), Ca (0.62-1.40 mg/kg), K (0.25-0.42 mg/kg), and P (0.11-0.44 mg/kg) while the proximate composition is in the range: dry matter (81.6-93.3%), N (0.18-0.31%), crude protein (CP) (1.13-1.94%), crude fiber (2.84-4.82%). This result revealed that significant quantities of the nutrients unlocked by Pleurotus ostreatus were assimilated into the mushroom fruit bodies. Therefore, Pleurotus ostreatus could be used to enrich cassava peels and sawdust substrates which can further be utilized in the formulation of livestock feeds. However, further studies are recommended especially in evaluating more nutritional indices of the substrate.
Finite element procedure to simulate sandwich structure with an auxetic core under impact loading using ABAQUS/Explicit Valdo Pratama; Annisa Jusuf; Arief Yudhanto; Bambang Kismono Hadi
International Journal of Advances in Applied Sciences Vol 12, No 1: March 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v12.i1.pp37-47

Abstract

A sandwich structure with an auxetic core is promising in improving the performance of a sandwich structure by implying an auxetic core as its core to combine the advantages of the two structures, e.g., sandwich structure’s superior ability in flexural and shear resistance, auxetic structure in localizing damage, and densification phenomena. This paper discusses a finite element modeling procedure to simulate a sandwich structure with a heterogeneous re-entrant auxetic core. The material of the face is a unidirectional carbon fiber reinforced polymer (UD CFRP) and the core is polylactic acid (PLA). The model is subjected to a low-velocity impact loading and is run through the ABAQUS/Explicit software. We found that the model we developed here could simulate up to the elastic region and identify which element had failed. However, it could not fully resemble and represent the model from reference, where fracture or damage does not occur. This model can be further improved in its material modeling strategy, especially in the fracture modeling of the composite face with compatible material properties in all required sectors, especially damaged sections, which are strictly necessary.
Eco-friendly management of the flea beetle, Podagrica species (Coleoptera: Chrysomelidae) on okra (Abelmoschus esculentus (L.) Moench) with Artemisia annua L. seed extract Frank Onyemaobi Ojiako; Christopher Emeka Ahuchaogu; Samuel Echezona Okere; Brendan Chigozie Nwaokeneme
International Journal of Advances in Applied Sciences Vol 12, No 1: March 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v12.i1.pp66-73

Abstract

Okra, grown and consumed in every ecological zone, is amongst the most sort after fruit vegetable crops in Nigeria. The crop is often infested by diverse field insect pests, especially the flea beetle Podagrica species, which impinges on its growth and productivity. The application of synthetic pesticides has been the generic insect pest control measure due to its touted effectiveness. These synthetics, however, has safety concerns which include; hazard to human health, amplification of toxins in the food chain, pest resurgence, domestic animals and human poisoning, environmental pollution, insect resistance, natural enemies destruction; springs, wells, rivers, and underground water contamination. Stakeholders are advocating an alternative management approach that is sustainable with less negative social and environmental impact. This study, therefore, compared the insecticidal efficacy of Artemisia annua (source of the antimalarial artemisinin) seed extract in comparison with Cypermethrin 10 EC, a synthetic insecticide, in controlling Podagrica species, the major field insect pests of okra. The trial was set out in a 7 x 4 factorial arrangement integrated into a randomized complete block design and replicated thrice. Cypermethrin 10 E.C was tested at 0.25 ml, 0.50 ml, and 0.70 ml/100 ml of water, while Artemisia annua extract was applied at 1.00 ml, 2.00 ml, and 3.00 ml/100 ml of water respectively. The control for both treatments was designated 0.0 ml. Data on leaf damage and flea beetle abundance were carried out from 4-10 weeks after planting (WAP) whilst the pods’ weight was measured at maturity. The result shows that i) the concentrations of Artemisia extract and Cypermethrin sprayed provided comparable protection to okra against the flea beetle; ii) the yield of okra (pod weight) does not vary between Artemisia annua extract and Cypermethrin treated plots; and iii) flea beetle infestations vary with okra developmental stages.
Generation 4.0 of the programmer selection decision support system: MCDM-AHP and ELECTRE-elimination recommendations Akmaludin Akmaludin; Erene Gernaria Sihombing; Rinawati Rinawati; Frisma Handayanna; Linda Sari Dewi; Ester Arisawati
International Journal of Advances in Applied Sciences Vol 12, No 1: March 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v12.i1.pp48-59

Abstract

The industrial world in the era of generation 4.0 needs personnel related to human resources who can handle crucial problems, especially in terms of data digitalization. The purpose of this paper is to analyze the supporting criteria that can be used as a measure of programmer selection for the needs of the industrial world which can provide optimal decisions and pay attention to the use of multi-criteria that have different quantitative assessments such as criteria related to contradictory times in its application. The problem, in the industrial world, does not only require speed alone but requires professional staff who can transform into digital technology, digitalization technology is needed in terms of the data conversion and transferring process, so a programmer has an important role in changing favorable conditions because it requires a selection process to get the best professional from several programmers. The method that can be used in multi-criteria decision-making-analytic hierarchy process (MCDM-AHP) and elimination et choix traduisant la realite (ELECTRE) methods in the concept of elimination. This method is part of the MCDM, which uses eight criteria in the selection and evaluation process. The results obtained from several selected programmers produce several professionally selected people, and can be used as an optimal benchmark for the programmer selection and evaluation process with a long preference index stage through the elimination process, this provides evidence that the selection and evaluation process can determine decision making which is optimal for a select number of programmers that only a few have through the aggregate dominant matrices.
Preventive remediation methods minimize soil pollution Sarwoko Mangkoedihardjo; Harida Samudro
International Journal of Advances in Applied Sciences Vol 12, No 1: March 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v12.i1.pp60-65

Abstract

Soil quality is rich in various substances, as well as a rich variety of uses for life, which leads to the potential for pollution. Once soils are polluted, remediation is mitigative and must be carried out, which has been the focus of many studies so far. However, preventive remediation is the focus of the novelty of this study, which aims to prepare predictive methods. This is a literature review of various studies over the last ten years, which are related to soil quality indicators through the respiration process. Based on the soil microbial respiration process platform, which contains various substances, the results of this study found three preventive remediation methods, namely indicators of substance reactants, gas products, and toxicity to microbes. The three methods simply require measuring the parameters of biochemical oxygen demand, and chemical oxygen demand, in addition to specific measurements of carbon dioxide and microbial enumeration. The advantage of the preventive remediation method is the application of soil response indicators to various types and amounts of contaminants. The implementation of preventive remediation is prior to building infrastructure, which is able to predict changes in soil quality through monitoring, thereby minimizing the potential for mitigative remediation.
ERT geoelectric application to determine the leakage direction of Embung Batur Agung, Karangwetan, Karangmojo District, Gunungkidul Regency, Indonesia Muhammad Faizal Zakaria; Sari Bahagiarti Kusumayudha; Hanafiah Hamid
International Journal of Advances in Applied Sciences Vol 12, No 2: June 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v12.i2.pp93-102

Abstract

Embung Batur Agung is a source of irrigation for residents around Embung. Depreciation of water in the reservoir occurs due to leakage from the geomembrane layer of the Embung Batur Agung. This study aims to determine the direction of leakage from the reservoir so that appropriate treatment can be carried out. This research was done using hydrogeological analysis and electrical resistivity tomography (ERT) geoelectrical measurements. ERT Geoelectrical measurement uses a dipole-dipole configuration with a spacing of 5 m and 10 m and a line length of 100 m. There are 2 lines in the southwest and southeast of the reservoir. The results of geohydrology analysis, it was found that the aquifer system around the reservoir included in the Gunungsewu aquifer system, and the dynamics of surface groundwater are controlled by faults and fractures. The results of the ERT geoelectrical measurement, there is a low anomaly which can indicate a reservoir leak at 50-60 m on line 1 which is in the southwest of the reservoir. This low anomaly has a vertical pattern as well as there is a fracture which is the cause of the reservoir leak. These low anomaly values range from 4-30 Ωm which can be interpreted as the presence of water that has conductive properties. The results of this study are expected to be used by the local government to handle the leakage of the reservoir.
Identification of mangrove tree species using deep learning method Paranita Asnur; Rifki Kosasih; Sarifuddin Madenda; Dewi A. Rahayu
International Journal of Advances in Applied Sciences Vol 12, No 2: June 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v12.i2.pp163-170

Abstract

Artificial intelligence can help classify plants to make identification easier for everyone. This technology can be used to classify mangrove trees. The degradation of mangrove forests has resulted in a 20% loss of biodiversity, an 80% loss of microbial decomposers, reduced C-organic soil, and fish spawning grounds, resulting in estimated losses in the ecological and economic fields for up to IDR 39 billion. The identification of different mangrove species is the first step in ensuring the preservation of these forests. Therefore, this research aimed to develop algorithms and a convolutional neural network (CNN) architecture to classify mangrove tree species with the highest possible accuracy using Python software. The architecture selection for this model includes a batch size of 32, an input image size of 128x128 pixels, four classes, four convolution layers, four rectified linear unit (ReLU) layers, 2x2 max-pooling, and two fully connected layers (FCL). The finding showed that the resulting accuracy from the test was 97.50%, while the validation test was 81.25%, applied to four types of mangrove leaves, including Avicenia marina, Avicenia officialis, Rizophora apiculata, and Soneratia caseolaris.
Rock slope kinematics analysis by Markland method of the Bener District, Purworejo Regency, Central Java, Indonesia Sari Bahagiarti Kusumayudha; Azwar Thamrin; Heru Sigit Purwanto
International Journal of Advances in Applied Sciences Vol 12, No 2: June 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v12.i2.pp111-120

Abstract

Bener District, Purworejo Regency, Central Java, Indonesia, located in the Kulon Progo Mountains can be classified as a high-risk area. Many experts and researchers have studied landslides, but there has been little research on rock slope kinematics. In fact, when such a rock slope is unstable and poorly monitored, it has the potential to endanger the community or facilities at the adjacent site. This is why slope kinematics research is required. To complete this study, rock kinematics analysis using the Markland method was performed on six representative slopes. The assessment results show that Kaliwader slope A, Kaliwader slope B, and Argosari slope each tend to collapse with wedge failure, Kaliwader slope D and Wadas slope have the potential for wedge failure and planar slide, but Kaliwader slope C does not. Despite their steep inclination, slopes that are likely to fail are strongly related to the presence of geologic structures, particularly joints, and faults, at the sites. The findings of this study will be helpful in the development of landslide vulnerability zones in the context of disaster mitigation.
Internet of things time saving and management system for bus passengers Ali Abdulaziz Alawad; Muhammad Tajammal Chughtai; Majid Faleh Alanzi
International Journal of Advances in Applied Sciences Vol 12, No 2: June 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v12.i2.pp171-178

Abstract

This article presents a novel type of mobile phone application approach using the wireless fidelity (WiFi) system. Which is capable of facilitating the public transport user and its drivers efficiently. The application support passengers when there are scenarios where commuters face problems while using public transport. If users get bus information beforehand, such as bus location and arrival time, the number of passengers in the public transportation system. This application has been developed for the Android operating system. The application includes bus details like real-time bus location, bus arrival time, bus routes, bus stops, bus numbers, and so on. After the trip is booked, users' devices allow real-time geolocation to be shared in the application, helping the bus driver decide to stop at one stop or move to another when there are no users.
An observational mechanism for detection of distributed denial-of-service attacks Norliza Katuk; Mohamad Sabri Sinal; Mohammed Gamal Ahmed Al-Samman; Ijaz Ahmad
International Journal of Advances in Applied Sciences Vol 12, No 2: June 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v12.i2.pp121-132

Abstract

This study proposes a continuous mechanism for detecting distributed denial of service (DDoS) attacks from network traffic data. The mechanism aims to systematically organise traffic data and prepare them for DDoS attack detection using convolutional deep-learning neural networks. The proposed mechanism contains ten phases covering activities, including data preprocessing, feature selection, data labelling, model building, model evaluation, DDoS detection, attack pattern identification, alert creation, notification delivery, and periodical data sampling. The evaluation results suggested that the detection model built based on convolutional deep-learning neural networks and relevant network traffic features provided 97.2% detection accuracy. The study designed a holistic mechanism that considers the systematic network traffic data management for continuous monitoring and good performance of DDoS attack detection. The proposed mechanism could provide a solution for network traffic data management and enhance the existing methods for DDoS attack detection. In addition, it generally contributes to the cybersecurity body of knowledge.

Page 40 of 68 | Total Record : 680

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