Applied Mathematics and Computational Intelligence (AMCI)
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AMCI is peer-reviewed and published as an online open-access journal as well as in printed copy. The journal welcomes original and significant contributions in the area of applied mathematics and computational intelligence. It emphasises on empirical or theoretical foundations, or their applications to any field of investigation where mathematics and computational intelligence techniques are used. The journal is designed to meet the needs of a wide range of mathematicians, computer scientists and engineers in academic or industrial research.
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Browsing Applied Mathematics and Computational Intelligence (AMCI) by Department "Universiti Malaysia Perlis"
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Publication60-year Research history of missing data: a bibliometric review on Scopus database (1960-2019)( 2020-12)
;Farah Adibah Adnan ;esearch on missing data was initiatedin1960and the study on this topicgrew exponentially acrossvarioussubject areas since then.Therefore, this study aims to analyze those studies, specificallyjournal articles publishedin the context of missing data.Scopus databaseand analysis tools wereutilized to retrieve all available journal articles related tomissing dataand its data. Next, due to the large number of articles foundin the Scopus database, its informationcan only be efficiently extracted and combined using Mendeley software.To further obtained insights on the extractedinformation, VOSviewer was used to obtain network visualization and overlay visualization on authors’ keywordand citation metrics was obtained using HarzingPublish or Perish software. Additionally, the growth of publication, languages used, subject area, countriesinvolved,and publication activity were also presented using bibliometric analysis. In total, 6227journal articles werefound. The recordshows thata drastic increment of research in missing data happened in 2016, with 446publications compared to 361 in 2015. Most of the articleswere affiliated with researchers in the United States and werewritten mainly in English. Mathematics, decision sciences, medicine, and computer scienceare four subject areas that have high number of articles. It is expected that thepublications on this topic will increase significantly in 2020 due to its research trend that is currently blooming in the area of medicine and thereforeleadtopotential directions for future research3 22 -
PublicationA classifying and ranking selection of healthcare tourism services( 2020-12)
;Nur Syahirah Mohd AsriThe study is conducted to classify and rankingselection ofhealthcare tourism servicesusing the integration of the Kano model and the Fuzzy Analytic Hierarchy Process (FAHP). The selection of healthcare tourism servicesis the determinant factor towards patients’ satisfaction. FAHP isone of the quality improvement methods toimprovehealth tourism. However, FAHP cannot identify the patients’ satisfaction. The Kano Model provides a way to better understandingof patients’ satisfaction through the Kano Quality Attribute categories. Thus, the integration between the Kano Model and FAHP is proposed in this study. The study firstidentifiesthe determinant factors towards patients’ satisfaction requirements in healthcare tourism services. Next, the study measured patients’ satisfaction using Kano and classified them into five groups: must-be,attractive,one-Dimensional,indifferent,andreverse. Finally, the study ranked the determinant factors towards patients’ satisfaction requirements by usingFAHPto prioritize the most important patients’ satisfaction requirements. The findings will help the healthcare decision-maker to design and improve health tourism to enhance patients’ satisfaction in healthcare tourism services based on the most important patients’ satisfaction requirement.2 15 -
PublicationA Deep Learning Approach for Face Detection and Recognition to Initiate Human-Robot Conversation(Universiti Malaysia Perlis, 2024-06-04)
; ;Mohammed Khaled Ahmed Al Ghaili ;Mohamad Amir Hamzah Md Yusof ;Saeed Akash Mastoi ; ;Artificial Intelligence (AI) is currently booming at almost all field. The inauguration of OpenAI ChatGPT using Natural Language Processing (NLP) has played a vital role in exposing AI to the public. It is estimated about 1.8 billion users visit ChatGPT site in a month, with further planning of apps creation in iTunes Apple App Store and Android Google Playstore. Therefore, it is interesting and natural to implement such technology in robotic field. This paper presents the attempt to employ AI into the mobile robot system towards the main goals of conversational intelligence between human and robot. First, the robot head is designed and assembled, then a screen that functioned as the robot face is attached. Afterwards the detection and recognition system were developed giving the ability to the robot to recognize registered persons and the robot eye is able to track where the person is, in the camera Field-of-View (FOV). In addition, all these systems are developed on in-situ device i.e. NVIDIA® JetsonTM Nano. It is targeted that the proposed system is able to initiate a natural conversation between a robot and a human user.1 18 -
PublicationA study of customer-based brand equity prioritization by using analytical hierarchy process( 2018-12)
;Emmi Aida Esan ;New entrepreneur face with issues in managing brand equity and its significant is that it helps firms to enhance their cash flow and product differentiation to enjoy and obtain benefits out of competitive advantage. Plus, brand equity is regarded as a key benchmark for the state of health of a brand, and monitoring is believed to be an effective way of managing brand. Previous researchers have discussed that there are two motives to study brand equity which are financial motivation in order to value the brand and improving market productivity. Therefore, brand equity is treated as the most valuable intangible asset according to literatures. Customer based brand equity can create the most powerful point of difference among product suppliers. Therefore, it is imperative to explore the dimension and criteria of customer based brand equity model which includes resonance, judgement, feelings, performance, imagery and salience. In order to explore the criteria prioritization of customer based brand equity amongst customers towards the new product sell by entrepreneur in the market, researcher obtained filled questionnaires from 20 respondents who have experience in buy new local product by entrepreneurs. Analytical Hierarchy Process (AHP) which is one of Multi Criteria Decision Method families was used as methodology for this study. AHP methodology is implemented in this study. Result shows the prioritization of criteria in customer based brand equity model significantly contribute to the brand equity of products by entrepreneur. Furthermore, the contribution of this study is to the extent to which the new entrepreneurs can use the prioritization criteria findings to create the brand equity for their product and customer’s wants towards new products can be fulfilled.1 22 -
PublicationAn investigation of the weighted measurement for charity servicesby using analytical hierarchy process( 2018-12)
;Nur Izzati Idrus ;A charity service for the community is a pure activity where it is assisted by a handful of people to the more needy people. Community involvement in charity activities aims to provide any financial, time and energy assistance. This charity activity has a strategy of ensuring that welfare aspects are integrated into planning towards achieving holistic socio-economic development and enhancing smart and strategic partnerships through collaboration with all groups of people, non-governmental organizations and international agencies. In fact, these charity activities need to improve the quality of financial planning and management as well as information and communication technology professionally. In Malaysia, there are three (3) primary ethnic group in Malaysia that is Malay, Chinese and Indian with the overall population of 15 million, 6 million and 2 million respectively (Economic Planning Unit of Malaysia,2016).This study is focusing on the positively influence individual’s attitude toward the charities events. Data will be collected and the result will be analyzed and presented via Analytic Hierarchy Process. The analysis that will be used to ensuring consistency when dealing with pair wise comparisons, several researchers have suggested some alternatives. Analytic Hierarchy Process (AHP) begins by asking the evaluator to compare the level of importance between all possible pairof criteria, using a scale with values from 1 to 9. As the result, the Analytical Hierarchy Process, that describes the appropriate criteria of donator for charity services focus on to financial stability, period of operations, and service delivery record, and location has been developed.Moral commitment is the significance of charitable practices, occasions and causes will range amongst people in mild of their issues and commitments1 26 -
PublicationAnalysis of different types of full reference image quality assessment algorithm( 2018-12)
;Faizah MokhtarMeasurement of Image Quality plays an important role in numerous image processing applications such as forensic science, image enhancement, medical imaging, etc. In recent years, there is a growing interest among researchers in creating objective image quality assessment (IQA) algorithms that can correlate well with perceived quality. A significant progress has been made for full reference (FR) IQA problem in the past decade. In the meantime, several works has been made to compare and evaluate the performance of existing FR IQA methods. In this paper, we are comparing 5 selected FR IQA algorithms on TID2008 image datasets. The performance and evaluation results are shown in graphs and tables3 13 -
PublicationBoundary layer flow of dusty Ferrofluid : a comparative analysis of stagnation flow influence( 2024-11)
;Siti Hajar Abdullah ;Roslinda NazarThis research examines the characteristics of the boundary layer in the occurrence of dust particles within the ferrofluid boundary layer, aiming to understand the impact of stagnation flow or without stagnation flow in such systems. For this purpose, ferroparticles, namely magnetite (Fe3O4), are taken into consideration with kerosene and water as base fluids. The governing partial differential equations of the problem under consideration are converted into ordinary differential equations (ODEs) through the utilization of similarity transformations. Here, the equations obtained are then numerically solved utilizing MATLAB's built-in bvp4c solver. Moreover, the parameters’ effects, namely the dust particle loading, volume fraction of ferroparticles, and Eckert number to the flow with and without stagnation flow are computed and shown through tables and graphs. The findings indicate that the skin friction coefficient values for the stagnation-point flow are higher than those without stagnation-point flow. The Eckert number increases temperature profiles for both flows but more prominent in the flow without stagnation-point.5 28 -
PublicationClosed form boundary feedback for the time fractional order partial integro differential equations( 2017-12)
;Ibtisam Kamil Hanan ;Fadhel Subhi FadhelThis paper focuses on the application of back stepping control scheme for the time fractional order partial integro differential equation (FPIDE). The fractional derivative is presented by using Caputo fractional derivative. We show how the FPIDE is converted into a Mittag‐Leffler stability by designing invertible coordinate transformation. Numerical simulation isused to demonstrate the effectiveness of the proposed control scheme2 23 -
PublicationComparison on the rigid and flexible model of attitude maneuvering of a simple multi-body satellite( 2014-12)
;Teoh Vil Cherd ; ;Norhizam Hamzah ;Sazali Yaacob ;Rakhmad Arief SiregarRigid body assumption of a satellite model has been a common practice in spacecraft attitude manoeuvring. However, with the increasing demand for greater functionality of space activities, requires bigger and wider solar panels to cater the power needs. In this paper, simple rigid and flexible multi-body satellite model is derived using basic Newton’s second law and Assumed Mode Method. The response from both model are then simulated using MATLAB software while comparison is done to illustrate the significance of the flexible behaviour that inherited in the satellite system. With the negligence of flexible interference in the rigid model, it is likely to execute an exact attitude motion while the flexible model would yield a harmonic motion that is due to the vibratory motion of the solar panels.1 18 -
PublicationContamination and pollution assessment of heavy metal in Kuala Perlis sediment phase: a statistical analysis approach( 2018-12)
;Arina Azmina Ahmad ZubirA study on heavy metals pollution in sediment of Kuala Perlis was done which four types of heavy metals that are identified in the coastal area. The presence of Cr, Pb, Zn and Cu are resulted from the anthropogenic activities occurs in the land use of Kuala Perlis. Samples were collected with different depth phase (subsurface, 1ft, 2ft and 3ft) at five different points (A,B,C,D and E) based on the different land use activities. The distribution concentrations of Cr, Pb, Zn and Cu in each point were analyzed by using descriptive analysis. Based on the analysis Pb gives the highest in mean concentration compared to others in all points. The relation of metals concentration and the sediment characteristics were analyzed by Pearson correlation analysis. The correlation analysis shows the positive correlation among the metals with percentage of silt and clay and negative correlation among the metals with the sediment pH. The sediment pollution assessments were investigated by using contamination indices such as Enrichment Factor (EF), Geo-accumulation Index (Igeo), Contamination Factor (CF) and Pollution Load Index (PLI). Among the four metals tested Pb gives the highest value of EF, Igeo and CF in sediments collected from each sampling points meanwhile point A gives the highest PLI value. Based on the terminologies, since the PLI value <1 so, the sediment in Kuala Perlis coastal area are considered as unpolluted sediment.6 13 -
PublicationDeveloping a Credit Scoring of the SMEs Manufacturing based on Multi Criteria Decision Making (MCDM) Algorithm(Universiti Malaysia Perlis, 2025-02-17)
; ; ;Credit risk is a very important risk to banks since failure of borrowers to make required payment will lead to high non-performing loans. Hence, it is necessary for banks to develop a mechanism to gauge the credit risk of its borrowers. One of the methods is credit scoring. Small and Medium Enterprises (SMEs) are the backbone of the Malaysian economy comprising 98.5% of the total business established in Malaysia. Despite their importance, access to finance is relatively limited. According to banks, lending money to SMEs are risky compared to large companies due to few factors such as less of publicly available information, young and lack of collateral. Hence, this study tried to predict the credit risk of SMEs in Malaysia by developing a credit scoring that combined financial and non-financial criteria. This study proposes a credit scoring method based on MCDM algorithm that will be able to forecast the score of the potential borrowers at a certain time by using the historic information. Result obtained is verified via the comparison with the given credit risk level provided by banks and by measuring the correlation. The correlation value is 0.88640526 indicates the high positive linear relationship.4 10 -
PublicationDynamic modelling and forecasting the water price: a case of Medan, North Sumatera( 2019-12)
;Tan Kim Hek ;Zulkifli Lubis ;Water is animportant element oflife, hence must be preserved. In addition, thepricing of water supply must be consistent and optimal to ensure its sustainability. Thispaperdescribes thedynamic model in the forms of mathematical (structural)equations translatedfrom the Regulation of the Minister of Domestic AffairsIndonesia,No.23 Year2006. This regulation has been used by Perusahaan Daerah Air Minum (PDAM) Tirtanadi Medan, North Sumatera in determiningthe water price. Themodel consists ofseveraleconomic variables such as minimum wage, inflation,and subsidy that majorly influencedthe forecasted water price19 5 -
PublicationEffect of suction on the stagnation point flow and heat transfer over a stretching shrinking sheet in a porous medium with stability analysis( 2019-12)
;Noormaizatulnazuha Mohamad ;This research investigatesthe problem of stagnation point flow and heat transfer over a stretching/shrinking sheet past a porous medium with suction effect. Firstly, the mathematical model that governed the fluid flow and heat transfer were formulated. Then, the governing nonlinear partial differential equations were transformed into ordinary differential equations using similarity transformation. The system of ordinary differential equations is then solved numerically using bvp4cfunction in Matlab software. The effect of suction on the skin friction coefficient and the local Nusselt number,as well as the velocity and temperature profiles,are obtained and analysed. The numerical result obtained ispresented in the form of graphs and tables. The dual solutions are obtained for a certain range of parameters. The stability analysis has been performed and the result showsthat the upper branch solution is stable while thelower branch solution is unstable2 17 -
PublicationEvaluation of predictors for the development and progression of Diabetic Retinopathy among diabetes Mellitus Type 2 patients( 2022-12)
; ; ;Karniza KhalidDiabetic retinopathy is one of the microvascular complications caused by prolonged uncontrolled diabetes. It is believed that diabetic retinopathy correlates with certain predictors and risk factors that might worsen the disease, eventually causing visual loss and blindness among diabetes patients. There are some predictors and risk factors that attribute to the development and progression of diabetic retinopathy, such as the duration of diabetes and HbA1c trends. This study aims to evaluate the predictors and risk factors associated with the development and/or progression of diabetic retinopathy. Retrospective data were collected from a single healthcare facility in the northwest of Peninsular Malaysia. Patients included in this study were those with type 2diabetes mellitus diagnosed with diabetic retinopathy. The total number of patients involved in this study were 197, where 161 of them were newly diagnosed or with progressive diabetic retinopathy. The characteristics of diabetes patients with complication of diabetic retinopathy were described through descriptive statistics. Characteristics include demographics data such as age, gender, race and clinical data such as HbA1c readings HbA1c, estimated glomerular filtration rate (eGFR), urea and haemoglobin concentration (Hb). The results show that 7 predictors and risk factors are significant to the development and progression of diabetic retinopathy among diabetes patients. By using multinomial logistic regression, this study offers better understanding of the significant predictors and risk factors related to diabetic retinopathy.4 21 -
PublicationImproved hamming distance method for measuring staff performance evaluation( 2018-12)
;Mohamad Shahiir Saidin ;Performance evaluation is the annual assessment about the overall works and responsibilities for every staff in an organization or institution. It needs to be measured correctly and fairly in order to pay what the staffs havedone in a particular year. In this process, the staffs in the particular organization areevaluated with respect to specific criteria by the assigned decision makers based on their performance in a particular year. Based on the existing literature, the decision makers always overlook the sub-criteria weights in the evaluation process and only focus for main criteria. Hence, this study presents an approach of integrating the subjective and objective weights incorporated with Hamming distance method dealing with main and sub-criteria. A case study at an institute of local university in Malaysia is provided to demonstrate the advantages of the proposed method. Based on the results, the proposed method can determine the most important criteria and the best staff in that institute.3 20 -
PublicationIntegration of Multiple Distributed Generation Sources in Radial Distribution System Using a Hybrid Evolutionary Programming-Firefly Algorithm(Universiti Malaysia Perlis, 2024-02-29)
;Nik Hasmadi Nik Hassan ; ; ; ; ;Ismail MusirinSazwan IshakThis paper presents an approach for the optimal integration of multiple distributed generation (DG) sources in a radial distribution system. The integration of DG sources poses various challenges such as can lead to higher power losses caused by reverse power flow, voltage exceeding secure limits, voltage stability, power quality, and economic operation. To address these challenges, a hybrid algorithm is proposed which combines the benefits of both Evolutionary Programming and Firefly Algorithm. The proposed hybrid Evolutionary - Firefly Algorithm is employed for the determination of the optimal size of the DG sources. The objective of the proposed algorithm is to minimize the total system power losses and improve the voltage profile. The algorithm considers various constraints including the DG capacity limits and voltage limits. A comprehensive case study is conducted on a radial distribution system to demonstrate the effectiveness of the proposed approach. The simulation results show that the hybrid algorithm can find the optimal size and location of DG sources while achieving the desired system performance. The integration of multiple DG sources leads to a significant reduction in power losses and improved voltage profile. Furthermore, the proposed approach provides a flexible framework for the optimal integration of DG sources in radial distribution systems, allowing for the accommodation of different types and capacities of DG sources. The proposed technique is tested on the IEEE Reliability Test systems, specifically the IEEE 69-bus. The combination of DG at bus 61 and bus 27 yields a loss reduction index of 94%. -
PublicationInvestment planning problem in power system using Artificial Neural Network( 2018-12)
; ;Siti Hajar Mohd TaharAmran AhmedThis paper presents a model to solve Distribution Expansion Planning (DEP) problem. An effective method is proposed to determine an optimal solution for strategic investment planning in distribution system. The proposed method will be formulated by using meanvariance analysis (MVA) approach in the form of mixed-integer quadratic programming problem. Its target is to minimize the risk and maximize the expected return. The proposed method consists of two layers neural networks combining Hopfield network at the upper layer and Boltzmann machine in the lower layer resulting the fast computational time. The originality of the proposed model is it will delete the unit of the lower layer, which is not selected in upper layer in its execution. Then, the lower layer is restructured using the selected units. Due to this feature, the proposed model will improve times and the accuracy of obtained solution. The significance of output from this project is the improvement of computational time and the accurate solution will be obtained. This model might help the decision makers to choose the optimal solution with variety options provided from this proposed method. Therefore, the performance of strategic investment planning in solving DEP problem certainly enhance3 31 -
PublicationMagnetohydrodynamic Stagnation-point Flow towards a Permeable Stretching/Shrinking Sheet with Slip and Heat Generation/Absorption Effects(Universiti Malaysia Perlis, 2023-11-10)
; ;This study of the magnetohydrodynamic (MHD) stagnation-point flow towards a permeable stretching/shrinking sheet in the presence of slip and heat generation/absorption effects is considered. The governing equations in the form of partial differential equations are transformed into a system of ordinary differential equations by using similarity transformation, and then solved numerically using bvp4c function in Matlab software. The variations of the numerical solutions for the skin friction coefficient and the local Nusselt number as well as velocity and temperature profiles are obtained for several values of the governing parameters. It is found that the solution is unique for the stretching case whereas dual (first and second) solutions exist for the shrinking case in certain range of parameters. -
PublicationMarangoni convection boundary layer flow of ferrofluid with the effects of thermal radiation and suction( 2020-12)
;Mimi Arina Hafizah Mohd KhaironThe problem of thermal Marangoni convection boundary layer flow in ferrofluid with the presence of radiation and suction is evaluated in this paper. This study considered magnetite ferroparticle (Fe3O4) in two different base fluids, which are water and kerosene. The method of the solution involves similarity transformation, which reduces the governing partial differential equations to a system of an ordinary differential equation. Then, the equations are solved utilizing built-in bvp4c function in MATLAB software. The impacts of the suction parameter and thermal radiation parameter concerning the velocity profiles, temperature profiles, surface velocity and heat transfer are illustrated in graphs and tables. It is revealed that the suction parameter reduces the velocity profiles, temperature profiles and surface velocity. However, the heat transfer increases with the suction parameter; meanwhile, the thermal radiation parameter increases the temperature profiles. However, it reduces heat transfer. The same trends are observed in both water and kerosene ferrofluid. Nevertheless, higher heat transfer is observed in kerosene-based ferrofluid5 31 -
PublicationMetal detector via KNN for vehicle robot( 2020-12)
;Zaidi Lokman Awang ;Nordiana SharifuddinThrough decades of use, several problems occur in the conventional metal detector where it becomes a burden when it is being carried for a long time, the price is so expensive and the user was exposed to the threat when using it at the dangerous site. In order to solve the problem, this research aims to develop a metal detector that is lighter, cheap and can be mobilized using a remote control. The frequency of different metal was classified via KNN Classifier where the obtained accuracy and sensitivity arehigher than 90%2 20