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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.
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Articles 14 Documents
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Search results for , issue "Vol 12, No 4: December 2023" : 14 Documents clear
Mitigation of PQ issues in EV charging station connected distribution system using novel RSMLI-based shunt APF Mogilicharla, Veera Narasimha Murthy; Rao, Lingineni Shanmukha; Moparthi, Ranjit Kumar; Chowdary, Tarigopula Jyothika
International Journal of Advances in Applied Sciences Vol 12, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v12.i4.pp413-424

Abstract

In the present scenario, the significant use of electric vehicles (EVs) is growing rapidly in the automotive industry due to cheaper transportation, no fossil fuel required, low maintenance, no fuel cost, and low impacts on the environment over the formal internal combustion engine (ICE) vehicles. In actuality, these EVs are powered by batteries that are charged by a utility-grid-based charging facility. A power-electronic conversion-based charging device is used in this charging station to charge the battery packs in the EV system. The problem statement of this work is identified, these conversion devices in charging units proliferate the power quality of the utility grid. To overcome these problems, a classical square-wave inverter-based active power filter (APF) is employed. The major problems in classical inverters are high common-mode voltage, more harmonic profile, high dV/dt stress, high switching stress, and low efficiency. The contribution of this work is proposing the multilevel inverter (MLI) based APF for better compensation over classical inverters. In this approach, a novel reduced-switch MLI-based APF has been proposed for the mitigation of harmonic currents and also enhances the power factor in utility-grid-connected distribution systems. The effectiveness of the proposed reduced-switch multilevel inverter (RSMLI)-APF is validated by integrating the number of charging units with the MATLAB/Simulink tool, and simulation outcomes are shown along with comparisons.
Data mining applied about state madrasah using sentiment analysis on Twitter in Indonesian perception Mahsusi, Mahsusi; Hudaa, Syihaabul; Nuryani, Nuryani; Bahtiar, Ahmad
International Journal of Advances in Applied Sciences Vol 12, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v12.i4.pp368-375

Abstract

Indonesian people prefer private schools with high prices, which is one of the exciting things to study. In fact, in the modern era, public schools have competed with private schools with international categories. The problem in public schools is the parent's perspective on the quality of education in public schools, especially public madrasahs. In addition, cases such as bullying and violence between schools. People on Twitter also have various perceptions of public madrasas, which are considered to have religiosity. This research uses the keywords public madrasah, quality management, and quality taken from Twitter using the Orange application. The amount of data in this research is 300 tweets from Twitter. As a result, there are both negative and positive sentiments toward public madrasas. However, the negative sentiment is higher than the positive sentiment. This means parents have more trust in private schools than in public madrasahs.
MCDM-AHP and PROMETHEE methods integrated for base service strategy vendor evaluation and selection Akmaludin, Akmaludin; Samudi, Samudi; Palasara, Nicodias; Harmono, Feri Prasetyo; Widianto, Kudiantoro; Muharrom, Muhammad
International Journal of Advances in Applied Sciences Vol 12, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v12.i4.pp384-395

Abstract

Business competition is very important in controlling product-savvy customers. Strong basic service techniques will be the main factor that binds vendors as the final destination in the supply chain through the strength of business network processes. This research aims to create a strategic basis for evaluating and selecting vendors through the integration process services of the multi-criteria decision-making method analytic hierarchy process (MCDM-AHP) and preference ranking organization method for enrichment evaluation (PROMETHEE) methods. Empirical studies show how this approach can provide optimal decision support for the vendor evaluation and selection process. Eight different types of criteria are required in its apps and must be realized as a barometer of the strategic basis for selecting vendors so that business processes are of high quality. These criteria include quality of goods, payment methods, payment terms, minimum transactions, discounts, delivery times, inventory, and service. The optimal weight for each criterion will be determined based on its importance to the synthesis process and its feasibility tested using mathematical algebra matrices and expert choice apps. Decision-making was based on the results of ranking evaluation of selected vendors through the development of 342 preference matrices, ten vendors were deemed worthy of acceptance and nine other vendors were rejected.
Evaluation of technology of artisanal and improved production of Vitellaria paradoxa butter in Burkina Faso Zida, Issouf; Tapsoba, François; Tarnagda, Bakary; Zio, Souleymane; Savadogo, Aly
International Journal of Advances in Applied Sciences Vol 12, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v12.i4.pp327-334

Abstract

This study aims to find the current various processes for the almond producers and the extractors of shea butter in Burkina Faso. The survey was conducted in seven provinces. Three approaches to data gathering were used: group interviews in which forms were filled out during interviews; individual interviews in which the interviewer asked one person about the survey-related tasks; and semi-structured group interviews. The survey data were analyzed and the results obtained made it possible to draw up four technological diagrams of almond products and three of almond processing into butter. The surveys showed that shea kernels were produced by boiling, pit fermented, and then smoked, or only smoked. In terms of butter making, the classic churning and roasting processes were used. These results revealed that the processes of butter making and processing are not uniform in all the units of producers. However, further studies are recommended, especially to determine the physico-chemical, sensory, and microbiological parameters of the butter from the productions to better appreciate their qualities.
Classification of six banana ripeness levels based on statistical features on machine learning approach Kosasih, Rifki; Sudaryanto, Sudaryanto; Fahrurozi, Achmad
International Journal of Advances in Applied Sciences Vol 12, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v12.i4.pp317-326

Abstract

Banana plants are often cultivated because they have many benefits. In producing, we need to maintain the quality of bananas by looking at banana ripeness levels before being distributed to markets. The level of banana ripeness is related to marketing reach. If the marketing reach is far, bananas should be harvested when the ripeness level of bananas is still relatively low. A system that can classify the degree of ripeness of bananas can help overcome this problem. In this study, our dataset includes 6 ripeness levels of bananas, more than in previous related studies. Furthermore, we use the statistical features extraction method to find the parameters that affect the level of banana ripeness, considering the texture and color of the banana peel which determines the level of ripeness visually. The extraction used is features extraction based on a histogram, then we employ four features, i.e., mean, skewness, energy descriptor, and smoothness, generated from the image dataset. In the next stage, we perform classification based on the features that have been obtained. In this study, we use Naive Bayes classifier and support vector machine (SVM) algorithms. Based on the result of this research, the best performance is the Naive Bayes classifier, with an accuracy is 86.67%, a weighted average precision of 83.55%, and a weighted average recall of 86.67%.
Mechanical gear footstep power generation using a mini generator with buck and boost selectors Sutikno, Tole; Fernando, Rizki; Pamungkas, Anggit; Purnama, Hendril Satrian; Baswara, Ahmad Raditya Cahya
International Journal of Advances in Applied Sciences Vol 12, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v12.i4.pp343-349

Abstract

In this research, we intend to build a floor-based power plant that produces energy using a mechanical generator drive. The drive system uses a two-gear transmission system with a different number of teeth, resulting in varying torque and speed. The large gear will stick directly to the floor, causing it to spin when the floor is stepped on, and then the small gear will spin the generator quickly. The buck and boost selector systems are powered by fluctuating voltage from the generator. If the voltage produced by the generator is greater than 5 V, the system will reduce it; otherwise, the system will increase the voltage. This selector system uses several modifications of the current circuit between rectifiers, which function to rectify the generator output when the generator rotation changes, a voltage divider is useful for dividing the generator output voltage. The pressure before and after the selector system was measured by applying force on the floor to 15 people with varying loads. The result shows that the buck and boost selector system can work properly, and the nominal output voltage of the generator is around 5 V as needed.
Development of a microcontroller and resistive touchscreen-based speed monitoring and control system for DC motor Adebisi, Oluwaseun Ibrahim; Ogundare, Ayoade Benson; Erinosho, Tolulope Christiana; Sonola, Moyosoluwalorun Odunayo; Adesanu, Adesewa Rofiat
International Journal of Advances in Applied Sciences Vol 12, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v12.i4.pp350-360

Abstract

Speed control is a key requirement in direct current (DC) motor applications where accuracy, reliability, flexibility, and safety are of high importance. In this study, a microcontroller and resistive touchscreen-based DC motor speed monitoring and control system were developed. The core components employed in the development of the system include Arduino ATMega328P microcontroller, thin film technology (TFT) resistive touch screen, L293D motor driver, and infrared (IR) sensor module. ATMega328P microcontroller is the brain of the system around which the overall circuit design was modeled. TFT resistive touch screen displays the motor speed and also, enables the users to set a desired speed. L293D motor driver regulates the voltage and current supplied to the motor, and a feedback loop comprising an IR sensor module ensures the maintenance of the motor speed at the desired level. A performance test was conducted on the developed system to ascertain its correct functionality. The developed speed monitoring and control system operated satisfactorily during testing; achieving a speed control in the range of 800 to 3000 rpm. The developed device is useful and can be scaled up for various domestic and industrial applications.
Drying kinetics of modification cassava-seaweed noodles using an oven Budiarti, Gita Indah; Sulistiawati, Endah; Juwitaningtyas, Titisari; Shitophyta, Lukhi Mulia; Purba, Irene Enjeli; Setiyani, Seila
International Journal of Advances in Applied Sciences Vol 12, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v12.i4.pp309-316

Abstract

Consumption of noodles in the world is always increasing. Noodles made from wheat flour are unhealthy because they cause diabetes, so alternative noodles are needed, such as modified cassava flour and seaweed. Modification cassava is used because it does not contain gluten and seaweed has nutritional value to make healthy, low-calorie noodles. The purpose of this study was to determine the temperature and time of the drying parameters of seaweed noodles. The drying method uses an oven with variable temperature (60, 70, 80, and 90 ) and drying time (2, 4, 6, 8, and 10 hours). The results of the study obtained optimal water content at 60  with 6 hours of 11.75%. The drying kinetics evaluated by logarithmic equation, optimal drying constant value at 80  of 0.67 h-1 with R2 0.9391. Effective moisture diffusivity (Deff) maximum evaluated by second Fick law obtained 9.35×107 m2/sec at temperature 90  with R2=0.9227. The proximate value of ash content is 12.11%, protein is 9.46%, lipid is 0.10%, and carbohydrates is 65.08%.
The optimization of self-assembled monolayer of thiols on screen-printed gold electrode Rahim, Nur Aina Syuhada; Harun, Noor Hasmiza; Abdullah, Muhammad Rosli; Jamilan, Mohd Azerulazree; Kamarudin, Balqis; Abdul Wahab, Azimah; Ibrahim, Siti Noorjannah; Jimat, Dzun Noraini
International Journal of Advances in Applied Sciences Vol 12, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v12.i4.pp405-412

Abstract

The activated gold-modified electrode surface for self-assembled monolayer (SAM) is suitable for N-(3-dimethylaminopropyl)-N-ethylcarbodiimide hydrochloride (EDC), 16-mercaptohexadecanoic acid (16-MDA), and N-hydroxysuccinimide (NHS). The various substrates could potentially be used for surface functionalization that binds to one another. Using modified screen-printed gold electrodes, 16-MDA, EDC, and NHS, we developed a self-assembling monolayer. Different 16-MDA concentrations were applied to the surface of a screen-printed electrode surface to enhance the sensitivity of the working electrode. The impact of different EDC, NHS, and 16-MDA concentrations (0.4 M, 0.8 M, 1 M, 1.2 M, 1.4 M, and 1.8 M) and incubation times between 5 and 30 minutes were examined and compared. The binding surface of the screen-printed gold electrode was characterized using the differential pulse voltammetry (DPV) technique. It has been demonstrated that the substrate concentrations at 5 minutes and 30 minutes of incubation time used to have the highest surface coverage and electron transfer rates. This concentration would be utilized in the subsequent experiment to evaluate the binding of various bacterial species. These findings suggest that the SAM in a modified screen-printed gold electrode may be functionalized to detect microorganisms.
Double step method in lipid extraction from biomass Aurantiochytrium sp powder Sulistiawati, Endah; Suhendra, Suhendra; Setyawan, Martomo; Mahsunah, Anis Herliyati
International Journal of Advances in Applied Sciences Vol 12, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v12.i4.pp376-383

Abstract

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%.

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