Journal of Computational Innovation and Analytics (JCIA)
type: channel
description: Journal of Computational Innovation and Analytics (JCIA) is an initiative of the School of Quantitative Science (SQS), Universiti Utara Malaysia to further promote high-impact scholarly articles among the professionals globally. The meaning of each word from the JCIA title is as follows: · Computational: Involving the calculation of answers, amounts, results, etc. · Innovation: The development of new products, designs, or ideas. · Analytics: A process in which a computer examines information using mathematical methods in order to find useful patterns. JCIA is an international free open access journal of double-blind techniques that aims to publish original papers every 6 months (January and July) in the form of concepts, research results, as well as case studies, related to ideas, consulting activities, designs, and new products, as well as quantitative methods for identifying useful patterns in the applications of mathematics, computational mathematics and statistics. JCIA in particular will build its identity by focusing on innovative aspects and computational - based analytical methods. In particular, JCIA is designed to focus on the publication of papers in fields which are still new and even rapidly growing and are currently focusing on innovation in the production of mathematical methods to identify useful patterns in pure mathematics, computational mathematics, pure statistics, applied mathematics and statistics, probability and uncertainty, as well as computer science applications.
publisher: UUM Press
language: ms
publication name: Journal of Computational Innovation and Analytics (JCIA)
issn: 2821-3416
items: Computational Analysis of Engineering Licensure Outcomes Under Curricular Change using Propensity Score Matching
items: A Robust Cumulative Sum for Monitoring High-Risk Stock in Malaysia
items: Assessing the Impact of Fintech on Financial Inclusion in Algeria: An Analysis of Digital Financial Transformation Indicators (2016-2022)
items: Adequacy of Inflation-Indexed Life Annuity: A Case of Defined Contribution Pension Plan in Malaysia
items: Game-Based Pedagogy Meets Simulation: Using Board Games to Model Seaport Operations in Maritime Education
items: PLS-SEM Approach to Analyzing the Marketing Mix and Its Impact on Repurchase Intentions in the Parboiled Rice Market
items: A Novel Probability Distribution with Robust Parametric Properties
items: Greedy Heuristic Algorithms for Multi-Objective Tourist Trip Design Problem on Penang Island
items: An Empirical Study on the Construction of A Non-Convex Risk Parity Portfolio Using A Genetic Algorithm
items: A Flexible Inverse Lomax Weibull-Weibull Model for Survival and Reliability Data
items: Analyzing Economic, Community, and Financial Performances of Philippine Social Enterprises Using R Statistics Environment and Statistical Package for the Social Sciences (SPSS) Software
items: A Modification of Conjugate Gradient Parameter and Its Global Convergence for Solving Unconstrained Optimization Problems
items: Magnetohydrodynamics Inclination Effects on Couette Fluctuating Micro-Gas Flow
items: ENSURING SUSTAINABLE WAQF-ZAKAT MICROTAKAFUL PROTECTION THROUGH A SYSTEM DYNAMICS APPROACH
items: DESIGN AND IMPLEMENTATION OF A WEB-BASED INFORMATION SYSTEM FOR UNIVERSITY STAFF UNION
items: STATISTICAL INFERENCE ON SINE-EXPONENTIAL DISTRIBUTION PARAMETER
items: DEVELOPMENT AND IMPLEMENTATION OF A NEW PATIENT APPOINTMENT SCHEDULING SYSTEM AT ADUSTECH WUDIL: AN EVALUATION OF USER SATISFACTION AND SYSTEM IMPACT
items: DECENTRALIZED ELECTRONIC VOTING WITH ETHEREUM BLOCKCHAIN IN DEMOCRATIC AND POLITICAL ELECTIONS
items: Mathematical Modeling of Viscous Incompressible Fluid Flow in Tubular Networks: Analysis of Laminar and Turbulent Regimes
items: EXPLORING THE EFFICACY OF DIGITAL MEME MARKETING CAMPAIGNS IN GENERATING LEADS WITHIN THE GENERATION Z DEMOGRAPHIC
items: THE MODIFIED MEAN ABSOLUTE DEVIATION INTEGER LINEAR PROGRAMMING MODEL FOR GLOBAL PORTFOLIO ASSET ALLOCATION
items: SOLVING BIPOLAR FULLY FUZZY SYLVESTER MATRIX EQUATIONS WITH NEGATIVE FUZZY NUMBERS
items: THE IMPLEMENTATION OF THE ALEXANDER-GOVERN TEST IN FACTORIAL DESIGN ANALYSIS
items: FORECASTING RAINFALL VOLUME IN SELANGOR WITH A COMBINED ARIMA MODEL
items: A NEW FRAMEWORK ON SUCCESS FACTORS OF SOCIAL MEDIA APPLICATIONS USAGE
items: APPLICATION OF BIBLIOMETRIC ANALYSIS ON ROOT GROWTH ALGORITHM
items: AN ANALYSIS OF THE DATA-DRIVEN REVOLUTION IN INDIAN HEALTH MANAGEMENT INFORMATION SYSTEM AT THE NATIONAL LEVEL
items: STRUCTURAL EQUATION MODEL ON DETERMINANTS OF INTENTION TO USE E-COMMERCE
items: POST-PANDEMIC ANALYSIS FOR VALUE AT RISK OF REAL ESTATE INVESTMENT TRUST IN MALAYSIA UNDER QUANTITATIVE APPROACH
items: IDENTIFICATION OF FACTORS AND RISK ASSESSMENTS ON FINANCIAL LITERACY: A CASE STUDY ON HOME PURCHASES

Computational Analysis of Engineering Licensure Outcomes Under Curricular Change using Propensity Score Matching
type: item
description: The Philippine higher education sector underwent a significant curriculum transition with the implementation of the K–12 program, which reduced the engineering curriculum from five to four years. This study examines the impact of this change on the licensure examination performance of engineering graduates. A causal-comparative design was used, with propensity score matching (PSM) applied to control for confounding variables such as age, sex, academic performance, exam timing, and degree program. Both nearest-neighbor and full matching methods were tested, with full matching selected for its superior covariate balance and sample retention. Using the matched dataset, logistic regression modeling revealed that graduates under the new 4-year curriculum had significantly lower odds (OR = 0.94) of passing the board exam than those under the 5-year track. The marginal mean comparison showed a 6.06 percentage point decrease in passing probability for the new curriculum group (p < .001), with a Cohen’s d of –0.53, indicating a moderate negative effect. These findings suggest that transitioning to the restructured 4-year engineering curriculum has not yet translated into improved licensure performance. A closer review of curriculum content, implementation fidelity, and academic support programs is needed to address this gap and strengthen outcomes under the reformed education system.
subject: Articles
  topic: section
creator: Arturo J. Patungan
creator: Vitus Paul De Jesus
creator: Regina Zyra F. Fajardo
creator: Micaela Allena T. Valondo
rights: Hak Cipta (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-07-31
publication date: 2025-07-31
starting page: 70
ending page: 79
doi: 10.32890/jcia2025.4.2.5

A Robust Cumulative Sum for Monitoring High-Risk Stock in Malaysia
type: item
description: This study analyzes stock price fluctuations and develops a robust monitoring approach for high-risk stocks. It identifies key factors influencing stock price volatility, constructs a median CUSUM control chart as an alternative to the mean CUSUM chart, which requires a normality assumption unsuitable for stock price data, and compares the median CUSUM chart’s performance during and after COVID-19. A Fishbone diagram is used to determine factors contributing to stock price fluctuations, while a risk matrix helps identify high-risk stocks. The median CUSUM control chart is then applied to monitor stock performance, focusing on FINTEC Global Berhad. Findings indicate that during and after COVID-19, FINTEC’s stock performance declined due to financial management challenges that affected investor sentiment. The study highlights the effectiveness of the median CUSUM chart in detecting small shifts in stock fluctuations compared to the mean CUSUM chart. This approach provides a more reliable framework for monitoring stock risk and volatility. By integrating quality tools such as the Fishbone diagram and risk matrix, this study enhances risk assessment strategies in financial market analysis, offering valuable insights for investors and analysts navigating uncertain market conditions.
subject: Articles
  topic: section
creator: Aisyah Athirah Abdul Razak
creator: Ayu Abdul-Rahman
creator: Ros Idayuwati Alaudin
creator: Anas Abdul Rahman
rights: Hak Cipta (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-07-31
publication date: 2025-07-31
starting page: 1
ending page: 19
doi: 10.32890/jcia2025.4.2.1

Assessing the Impact of Fintech on Financial Inclusion in Algeria: An Analysis of Digital Financial Transformation Indicators (2016-2022)
type: item
description: This research examines the correlation between financial inclusion and financial technology (fintech), particularly emphasizing how fintech can expedite the digital financial transformation in Algeria. This research examines how individuals and institutions are able to access financial products and services, contributing to broader economic development. The study covers the period from 2016 to 2022, employing a descriptive-analytical methodology and incorporating the deductive method for analyzing economic data derived from official statistics and World Bank reports. According to the World Bank data, the adoption of fintech is slowing down due to the deficiency in financial knowledge of the Algerian banking system. According to World Bank data, the results indicate that Algeria is making slow progress in implementing fintech solutions to enhance financial inclusion. This stagnation is attributed to low financial literacy levels and the underdeveloped banking system. The originality of this paper lies in its focus on the intersection between fintech adoption and financial inclusion in the Algerian context, a relatively underexplored area. The study affirms the need to accelerate the digitization of financial and banking services in Algeria by promoting fintech products, improving software infrastructure, and enhancing network readiness indicators. The research concludes with recommendations for policymakers to improve digital financial literacy and foster innovation in banking technologies to achieve broader financial inclusion.
subject: Articles
  topic: section
creator: Djamel Eddine Benamar
creator: Sid-Ahmed Mokhtari
creator: Lazhar Chine
rights: Hak Cipta (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-01-30
publication date: 2025-01-30
starting page: 56
ending page: 74
doi: 10.32890/jcia2025.4.1.4

Adequacy of Inflation-Indexed Life Annuity: A Case of Defined Contribution Pension Plan in Malaysia
type: item
description: Defined Contribution (DC) pension plans in some Asian countries are currently operated by the lump-sum withdrawal scheme, which allows retirees to withdraw all accrued savings in a single withdrawal. This type of withdrawal does not protect pensioners from the longevity risk. This study examines the adequacy of an alternative for the lump-sum withdrawal system, namely the withdrawal system based on the Inflation-Indexed Life Annuity (IILA). This study proposes two types of IILA: the immediate IILA and the deferred IILA. The adequacy of a life annuity is measured using the ratio of projected wealth to the projected consumption at the retirement age. For the deferred IILA, this study uses the Euler-Lagrange method to assess the optimal amount that will be set aside to finance the annuity scheme. The IILA and deferred IILA will protect retirees from purchasing under-valued annuities by adjusting the IILA to inflation risk. Furthermore, deferred IILA may improve the life quality of retirees by providing adequate retirement income during the deferment years. Analysis of data from the Household Income and Expenditure Survey (HEIS, 2014) indicates that the immediate IILA offers an average lifetime income of over 50%, while the deferred IILA provides more than 40%.
subject: Articles
  topic: section
creator: Zarul Khaliff Kamal
creator: Noriszura Ismail
rights: Hak Cipta (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-01-30
publication date: 2025-01-30
starting page: 22
ending page: 38
doi: 10.32890/jcia2025.4.1.2

Game-Based Pedagogy Meets Simulation: Using Board Games to Model Seaport Operations in Maritime Education
type: item
description: Game-based learning has gained traction as an innovative educational initiative, particularly in fields requiring strategic decision-making and operational management. This study explores the effectiveness of a board game, Port Management Game, as a pedagogical tool for enhancing students’ understanding of seaport management concepts. The primary objective of this study is to examine how board games can facilitate experiential learning, thus improving knowledge retention and supporting the development of critical decision-making skills among higher education students studying seaport management. A quasi-experimental research design involving a control and an experimental group was employed. The experimental group participated in board game sessions integrated into their coursework, while the control group underwent traditional lecture-based instruction. Data were collected through pre-tests and post-tests to assess students' learning outcomes. A split-plot ANOVA was conducted to determine the statistical significance of the differences in performance between the two groups. The findings revealed that students in the experimental group demonstrated a statistically significant improvement in their understanding of seaport management concepts compared to those in the control group. The results align with existing literature supporting the use of game-based learning as an effective pedagogical strategy in higher education. The significance of this study lies in its contribution to maritime education by validating the use of board games as an interactive learning medium and as a tool in enhancing students’ understanding of lessons. The study also highlights the potential of board games to bridge theoretical knowledge with practical application, preparing students for real-world challenges in the maritime industry. Furthermore, the research underscores the suitability of board games as a stepping stone toward apprenticeship training, as they provide a structured yet flexi…
subject: Articles
  topic: section
creator: Shanizan Herman Mohd Radzi
creator: Mazlan Mohd Sappri
creator: Mohammad Zukuwwan Zainol Abidin
creator: Puteri Azwa Ahmad
rights: Hak Cipta (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-07-31
publication date: 2025-07-31
starting page: 80
ending page: 99
doi: 10.32890/jcia2025.4.2.6

PLS-SEM Approach to Analyzing the Marketing Mix and Its Impact on Repurchase Intentions in the Parboiled Rice Market
type: item
description: The market landscape is marked by intense competition, necessitating continuous product enhancements, particularly within the food sector. To meet evolving consumer demands and adapt to changing consumption patterns, the marketing mix serves as a strategic tool to foster profitable relationships rooted in consumer satisfaction and loyalty. This study aims to investigate the impact of the marketing mix on consumer satisfaction with parboiled rice and to examine its influence on repurchase intentions. Data were collected from 300 respondents and analyzed using PLS-SEM. Findings indicate that marketing mix elements; product, price, place, and promotion, positively and significantly influence consumer satisfaction. However, the relationship between these variables and repurchase intentions varied. The final model supports the connection between satisfaction and the intention to repurchase. Product attributes, such as the health benefits of parboiled rice, play a crucial role, alongside the significance of the sales location. Remarkably, there was no evidence to support the notion that price and repurchase intention were related, and promotion had a negative correlation with repurchase intention, which calls for more research. These insights are invaluable for parboiled rice producers and marketing managers, highlighting the need to enhance these product aspects to boost consumer engagement and loyalty.
subject: Articles
  topic: section
creator: Nik Rozana Nik Mohd Masdek
creator: Mohd Tarmizi Haimid
creator: Aimi Athirah Ahmad
creator: Kartini Wan Mat
rights: Hak Cipta (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-07-31
publication date: 2025-07-31
starting page: 55
ending page: 69
doi: 10.32890/jcia2025.4.2.4

A Novel Probability Distribution with Robust Parametric Properties
type: item
description: The continuous evolution of statistical modelling has spurred the development of novel probability distributions to address complex data challenges. This paper introduces the Topp-Leone Epsilon (TopLE) distribution, derived by combining the Topp-Leone and epsilon distributions. The TopLE distribution exhibits attractive parametric properties, including flexible shape and scale parameters, a closed-form quantile function, and efficient parameter estimation using computational tools. Simulation studies demonstrate the distribution's efficiency, consistency, and stability, making it suitable for a wide range of applications in lifetime data analysis. Two comparative applications with four standard distributions have shown the TopLE distribution to be a competitive choice in modelling real-life datasets. This work contributes to the statistical literature by providing a versatile and competitive model for modern data complexities.
subject: Articles
  topic: section
creator: Na'awurti William Nyandaiti
creator: Abbakar Yusuf Muhammad
creator: Isaac Gongsin Esbond
rights: Hak Cipta (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-07-31
publication date: 2025-07-31
starting page: 100
ending page: 109
doi: 10.32890/jcia2025.4.2.7

Greedy Heuristic Algorithms for Multi-Objective Tourist Trip Design Problem on Penang Island
type: item
description: Tourism is a vital sector in the global economy, significantly contributing to the development of many countries by creating jobs, generating income, and promoting cultural exchange. However, planning a tour itinerary presents a significant challenge due to the necessity of identifying points of interest (POI) and organizing them into a proper itinerary. This study focused on solving the multi-objective TTDP for Penang Island by developing two greedy heuristic techniques: Nearest Neighbour (NN) and Nearest Greedy Insertion (NGI). The study aimed to achieve three objectives: identifying tourists’ preferences and constraints relevant to the TTDP, proposing solutions using NN and NGI techniques, and evaluating the effectiveness of these methods. Adopted a hybrid weighted objective, both algorithms balanced maximizing the number of POIs visited and popularity index while satisfying several constraints such as time windows, popularity index, restaurant selection, POI categories, and budget limitations. The findings showed that the NN technique performed better for a one-day tour, delivering a higher popularity index (212.66) compared to NGI (171.43). However, the NGI technique outperformed in a two-day tour by balancing POI coverage and popularity index of 294.91, while NN had 268.68. For a three-day tour, NN achieved a higher popularity index (359.86) than NGI (337.03), while NGI visited more POIs. Future studies should explore metaheuristic methods, broader geographic applications, incorporate time-dependent variables, and tailored solutions for halal-conscious travellers.
subject: Articles
  topic: section
creator: Tze Yuan Louis Lim
creator: Aida Mauziah Benjamin
rights: Hak Cipta (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-07-31
publication date: 2025-07-31
starting page: 110
ending page: 127
doi: 10.32890/jcia2025.4.2.8

An Empirical Study on the Construction of A Non-Convex Risk Parity Portfolio Using A Genetic Algorithm
type: item
description: Risk-based portfolio optimization has become increasingly crucial due to the limitations and underperformance of traditional Mean-Variance (MV) portfolios. In the context of the Risk Parity (RP) portfolio, capital is allocated in such a way that each asset contributes equally to the overall risk of the portfolio. However, optimizing a non-convex RP portfolio presents significant challenges. While conventional numerical methods can be applied, they often struggle with inefficiency and fail to deliver optimal results. This study addresses these challenges by proposing the Genetic Algorithm (GA) and comparing its effectiveness against Successive Convex for RIsk Parity (SCRIP) to solve the non-convex RP portfolio. Using stock price data from companies listed on the Jakarta Islamic Index (JII), we demonstrate that the GA, although yielding a solution that slightly deviates from the ideal equal-risk-contribution, offers a more efficient and practical approach than SCRIP. Notably, the RP portfolio outperforms both the Equal Weight (EW) and Global Minimum Variance (GMV) portfolios in terms of lower Value at Risk (VaR) and Turnover (TO) ratios. This research contributes to the field by showcasing the GA as a viable tool for overcoming the limitations of traditional optimization methods, particularly in addressing the complexities of non-convex RP portfolios while considering practical investment constraints.
subject: Articles
  topic: section
creator: Rosita Kusumawati
creator: Dedi Rosadi
creator: Abdurakhman
rights: Hak Cipta (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-01-30
publication date: 2025-01-30
starting page: 39
ending page: 55
doi: 10.32890/jcia2025.4.1.3

A Flexible Inverse Lomax Weibull-Weibull Model for Survival and Reliability Data
type: item
description: In this paper, an extension of the Weibull distribution using Inverse Lomax Weibull-G (ILWG) called Inverse Lomax Weibull-Weibull Distribution (ILWWD) was introduced. The statistical properties of the ILWWD were also derived. This includes the moment, moment generating function, quantile function, and distributions of order statistics. The parameters of the ILWWD were estimated using the maximum likelihood estimates (MLE) method. Simulation studies were presented for three distinct cases. Survival regression was also presented. Goodness-of-fit statistics were employed to assess the effectiveness of the ILWWD and Log-ILWWD. This indicated that the proposed distribution is superior in fitting leukemia data. Lastly, the flexibility of the ILWWD was demonstrated using a real-life dataset. These suggest that the proposed distribution is superior in fitting the datasets presented in this study.
subject: Articles
  topic: section
creator: Jamilu Yunusa Falgore
creator: Abubakar Yahaya
creator: Sani Ibrahim Doguwa
creator: Aminu Suleiman Mohammed
creator: Abdussamad Tanko Imam
rights: Hak Cipta (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-01-30
publication date: 2025-01-30
starting page: 1
ending page: 21
doi: 10.32890/jcia2025.4.1.1

Analyzing Economic, Community, and Financial Performances of Philippine Social Enterprises Using R Statistics Environment and Statistical Package for the Social Sciences (SPSS) Software
type: item
description: This research examines sustainability in a social enterprise, delving into the quantitative variables, namely, social impact, social mission, and financial responsibility towards financial performance. This study evaluated whether businesses practicing social entrepreneurship were sufficiently sustainable in light of media accounts that report their economic and community performance. By examining key indicators across economic, community, and financial performance, this study provides evidence-based insights into their contributions to sustainable development and identifies areas for improvement. The participants are Metro Manila-based social enterprises that have been operating for over five years. The inclusion criteria for the social enterprises were the following: (1) sought a mission to solve social problems, (2) established a sustainable model, and (3) recognized by domestic opinion leaders to be innovative and potentially leading to more considerable systematic change. The quantitative data were analyzed using R Statistics Environment and Statistical Package for the Social Sciences (SPSS) version 23. The data was summarized in frequency tables, and the output was presented using descriptive statistics. The ratio and gathered data were tested using the Multiple Regression Analysis (MRA) to show the effect between dependent and independent variables. The results show that Economic Performance and Community Performance significantly influence most sustainability metrics of the study subjects. Among the sustainability variables, only social mission had a significant impact on Return on Assets and Return on Equity. Social enterprises may utilize the results from this study to formulate better ideas in their respective fields and create opportunities to make their businesses more sustainable.
subject: Articles
  topic: section
creator: Justin Ira G. Ong
creator: Jackson J. Tan
rights: Hak Cipta (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-07-31
publication date: 2025-07-31
starting page: 20
ending page: 37
doi: 10.32890/jcia2025.4.2.2

A Modification of Conjugate Gradient Parameter and Its Global Convergence for Solving Unconstrained Optimization Problems
type: item
description: The methods of nonlinear conjugate gradient coefficients are significant and helpful in solving large-scale unconstrained optimization problems, due to their simplicity and lower storage requirement. Research activities on its applications to handle higher-dimensional systems of nonlinear equations are of paramount importance. Many authors studied and developed different kinds of conjugate gradient coefficients. Recently, some conjugate gradients were proposed with large dimensions, but they have small sample sizes. So, they cannot solve problems that have higher dimensions. Therefore, this research proposed a modified algorithm with a huge dimension and a large sample size. The strategy of strong Wolfe line search was applied in the convergence analysis, which makes it possible to converge globally with a descent property. Finally, the numerical results show that the proposed algorithm performs more efficiently and is superior to the existing Conjugate Gradient (CG) coefficients.
subject: Articles
  topic: section
creator: Abba V Mandara
creator: Ahmadu M. Musa
creator: Samaila Markus
creator: Ahmed A. Lawal
creator: Usman A. Yakubu
rights: Hak Cipta (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-07-31
publication date: 2025-07-31
starting page: 38
ending page: 54
doi: 10.32890/jcia2025.4.2.3

Magnetohydrodynamics Inclination Effects on Couette Fluctuating Micro-Gas Flow
type: item
description: An analytical investigation is conducted in the laminar flow regime to examine the impacts of Magnetohydrodynamics (MHD) inclination on Couette fluctuating basic micro-gas-flow, in which the bottom plate remains fixed while the top plate swings in its plane with sinusoidal velocity. Using a transformation technique, the partial differential equations that govern the flow situation have been reduced to a system of analytically solvable ordinary differential equations. The impact of MHD inclination on the dimensionless velocity and skin friction's numerical values are displayed in a detailed analytical and graphical form. The analysis's conclusion reveals that velocity rises with increasing phase angle values but drops with increasing inclination angle, magnetism, and frequency of the fluctuating driving force.
subject: Articles
  topic: section
creator: Ashafa Sani
creator: Aliyu Usman Moyi
rights: Hak Cipta (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-01-30
publication date: 2025-01-30
starting page: 85
ending page: 95
doi: 10.32890/jcia2025.4.1.6

ENSURING SUSTAINABLE WAQF-ZAKAT MICROTAKAFUL PROTECTION THROUGH A SYSTEM DYNAMICS APPROACH
type: item
description: The Islamic financial ecosystems, such as zakat and waqf, have roles in tackling poverty and can be integrated into providing financial protection, such as death benefits to the poor through microtakaful. However, unpredictable payouts and irregular contributions can hinder the implementation of microtakaful, affecting cash flows. This paper employs a system dynamics approach to simulate the cash flows of microtakaful funds, emphasizing the influence of three key factors: the rate of new participants, the mortality rate, and the contribution rate. Note that this approach is chosen for its ability to model complex systems and predict the behavior of microtakaful funds over time. The data collected were from various institutions, including the Life Insurance Association of Malaysia (LIAM), the Central Bank of Malaysia (BNM), and the Department of Statistics Malaysia (DOSM) from 2018 to 2020. The model indicates a minimum contribution rate of RM130 per year, with a 2% mortality rate and 0.8% annual increase in the new participants. The model serves as a foundation for designing a simple and understandable non-profit microtakaful product.
subject: Articles
  topic: section
creator: Arwin Idham Mohamad
creator: Jafri Zulkepli
creator: Norhaslinda Zainal Abidin
rights: Hak Cipta (c) 2024 https://creativecommons.org/licenses/by/4.0
date: 2024-08-15
publication date: 2024-08-15
starting page: 57
ending page: 88
doi: 10.32890/jcia2024.3.2.3

DESIGN AND IMPLEMENTATION OF A WEB-BASED INFORMATION SYSTEM FOR UNIVERSITY STAFF UNION
type: item
description: The Academic Staff Union of Universities (ASUU) in Nigerian public universities has long championed the welfare and interests of academic staff. However, operational inefficiencies stemming from manual processes hinder its effectiveness in addressing contemporary challenges. This inefficiency hampers ASUU’s effectiveness and limits its ability to interact efficiently with its members and stakeholders. Therefore, this study proposes that the ASUU Web-Based Information System (AWBIS) should modernize data management, communication, and decision-making within the union. Drawing on related work in online information systems across various sectors, the methodology involves requirements gathering, leading to the development and implementation of AWBIS. Leveraging development technologies, AWBIS offers modules for member management, communication, event organization, and biometric attendance. This project uses the waterfall model approach to developing software as the research methodology. The data collection techniques include interviews and questionnaires. The AWBIS enables various operations to be performed online, consisting of registering members by the admin, logging members, and allowing members to manage their profiles. The system also provides a login page for both members and admins, each with their own username and password. A secure and accessible database for storing member profiles, academic information, and other relevant data was created. The successful implementation of AWBIS will significantly streamline ASUU’s operations, resulting in improved communication, reduced administrative burden, and enhanced transparency. Members will have access to up-to-date information, and the system will facilitate better coordination of ASUU’s activities. Future enhancements, including financial management, election processes, loan applications, and mobile app development, are suggested to further optimize AWBIS’s functionality and accessibility. AWBIS is a model for leve…
subject: Articles
  topic: section
creator: Muhammad Muhammad Bala
creator: Abdulmalik Ahmad Lawan
creator: Salisu Mamman Abdulrahman
rights: Hak Cipta (c) 2024 https://creativecommons.org/licenses/by/4.0
date: 2024-08-15
publication date: 2024-08-15
starting page: 89
ending page: 109
doi: 10.32890/jcia2024.3.2.4

STATISTICAL INFERENCE ON SINE-EXPONENTIAL DISTRIBUTION PARAMETER
type: item
description: The Sine-Exponential (Sine-E) distribution is a probability distribution that combines the periodic behavior of the sine function with the decay characteristic of the exponential function. This study addresses the problem of identifying the most accurate and reliable estimation method for the parameter of the Sine-E distribution. The objective is to evaluate various parameter estimation techniques, including Maximum Likelihood Estimation (MLE), Least Squares Estimation (LSE), Weighted Least Squares Estimation (WLSE), Maximum Product of Spacing Estimation (MPSE), Cramer-von-Mises Estimation (CVME), and Anderson-Darling Estimation (ADE), using Mean Square Error (MSE) as the criterion for determining the technique with the minimum error. The study’s findings reveal that as sample size increases, the parameter estimates for all techniques converge to the true parameter value, with decreases in bias, MSE, and mean relative estimates. Among the techniques evaluated, the MPSE method consistently provides estimates closest to the true parameter value and exhibits the least bias and lowest MSE across small, moderate, and large sample sizes, making it the best estimator for the Sine-E distribution.
subject: Articles
  topic: section
creator: Akeem Ajibola Adepoju
creator: Akanji Olalekan Bello
creator: Alhaji Modu Isa
creator: Akinrefon Adesupo
creator: Jamiu S. Olumoh
rights: Hak Cipta (c) 2024 https://creativecommons.org/licenses/by/4.0
date: 2024-08-15
publication date: 2024-08-15
starting page: 129
ending page: 145
doi: 10.32890/jcia2024.3.2.6

DEVELOPMENT AND IMPLEMENTATION OF A NEW PATIENT APPOINTMENT SCHEDULING SYSTEM AT ADUSTECH WUDIL: AN EVALUATION OF USER SATISFACTION AND SYSTEM IMPACT
type: item
description: Globally, the healthcare sector is the pivot and integral part of human lives. Any error committed in the clinic services might lead to defects or the termination of life. In the rapidly evolving field of healthcare, efficient and accessible appointment scheduling plays a crucial role in ensuring timely and quality care for patients. This article is centered around creating a Patient Appointment Scheduling System, with a focus on handling registration and management, as well as managing bookings or making appointments and scheduling sessions at Aliko Dangote University of Science and Technology, Wudil (ADUSTECH Wudil). Identification of the drawbacks of the existing traditional system leads to the design of a computerized system, which is more user-friendly and GUI-oriented. HTML, PHP, CSS, JavaScript, and MySQL were used for the development. Note that performance was improved to 92% from using the traditional system. Similarly, the productivity of participants increased to 90%. Furthermore, the waiting time for patients to be attended was enhanced to 90% in the proposed system.
subject: Articles
  topic: section
creator: Kamaluddeen Ibrahim Yarima
creator: Abdulmalik Ahmad Lawan
creator: Idris Abubakar Umar
creator: Hafiz Usman Uba
creator: Yusuf Haruna
rights: Hak Cipta (c) 2024 https://creativecommons.org/licenses/by/4.0
date: 2024-08-15
publication date: 2024-08-15
starting page: 27
ending page: 56
doi: 10.32890/jcia2024.3.2.2

DECENTRALIZED ELECTRONIC VOTING WITH ETHEREUM BLOCKCHAIN IN DEMOCRATIC AND POLITICAL ELECTIONS
type: item
description: The Ethereum blockchain-based electronic voting (e-voting) systems can emerge as a viable strategy in this era of contemporary democracies to revolutionize political elections and augment the efficacy of the electoral process. There are myriad advantages that the Ethereum blockchain has to offer, from fairness to increased voting rates. Unlike traditional voting protocols, the Ethereum blockchain can assure substantial cost savings and eliminate the necessity for electoral intermediaries. The use of the Ethereum blockchain in political contexts also ensures that elections are held with integrity while preserving the voters’ privacy. Due to its popularity, provision of smart contracts logic, and various promising advantages, this systematic review aims to examine the potential deployment of decentralized e-voting systems integrated with Ethereum blockchain technology for democratic political elections. A systematic literature review (SLR) and the PICO approach, which stands for population, intervention, control, and outcomes, were adopted in this study to systematically analyze the existing literature. Key technological approaches identified in the voting system include the hybrid blockchain and privacy-preserving score voting. Among the noteworthy findings are the following: while adoption and complexity remain challenges across numerous e-voting frameworks, scalability, end-to-end security, enhanced efficiency, and effectiveness are key benefits. An exploration into the prospective future innovations, such as the integration of artificial intelligence and big data analytics into the Ethereum blockchain, was also included to further improve the reliability of the e-voting systems. It is believed that the Ethereum blockchain has a promising transformative impact on electoral politics and democratic processes, presenting a ray of hope for future elections.
subject: Articles
  topic: section
creator: Stephanie Kew Yen Nee
creator: Kang Eng Thye
rights: Hak Cipta (c) 2024 https://creativecommons.org/licenses/by/4.0
date: 2024-08-15
publication date: 2024-08-15
starting page: 111
ending page: 127
doi: 10.32890/jcia2024.3.2.5

Mathematical Modeling of Viscous Incompressible Fluid Flow in Tubular Networks: Analysis of Laminar and Turbulent Regimes
type: item
description: The article delves into the mathematical modeling of the flow of viscous, incompressible fluids through a network of tubes enclosed within an outer pipe. It comprehensively examines both laminar and turbulent flow regimes, providing a thorough analysis of the underlying physical phenomena. Specifically, it investigates the fluid dynamics through a configuration consisting of n tubes, each with a length L and radius r situated within the outer tube. The article derives formulae for calculating key parameters such as the maximum velocity of fluid flow, the volumetric flow rate through the tube's cross-section, the coefficient of frictional resistance along the tube's length, and the maximum value of tangential stress.
subject: Articles
  topic: section
creator: Habibulla Akhadkulov
creator: Shaydulla Mengliev
creator: Afiqah Mohd Kamal
rights: Hak Cipta (c) 2025 https://creativecommons.org/licenses/by/4.0
date: 2025-01-30
publication date: 2025-01-30
starting page: 75
ending page: 84
doi: 10.32890/jcia2025.4.1.5

EXPLORING THE EFFICACY OF DIGITAL MEME MARKETING CAMPAIGNS IN GENERATING LEADS WITHIN THE GENERATION Z DEMOGRAPHIC
type: item
description: Quite recently, marketers have used memes because they entice customers’ attention. It serves as a means to have a dialogue between customers and companies. Some companies would even hire people to browse the internet for relevant memes. The emergence of Generation Z, who are digital natives, has brought significant changes to how businesses interact with their target audience. One potential strategy is to use digital memes as a marketing tool to engage them. The study, using 271 respondents, investigates the use of the aforementioned tool to determine its appropriateness in lead generation based on the Attention, Interest, Desire, Action (AIDA) model. Using the software Analysis of Moment Structures (AMOS), a descriptive exploratory design using Structural Equation Modeling (SEM) was used to investigate the relationship between the different variables in the study. The findings show that attention impacts interest, interest influences desire, and desire significantly affects action at a significance level of p < 0.01. The study revealed that Digital memes are an effective tool that can be utilized to generate leads. Businesses can use digital memes to engage with the Generation Z segment. However, prudence in creating memes must align the message with corporate values and be relevant to the target audience.
subject: Articles
  topic: section
creator: Ronald Fernandez
creator: Chin Uy
creator: Ronaldo Manalo
rights: Hak Cipta (c) 2024 https://creativecommons.org/licenses/by/4.0
date: 2024-01-31
publication date: 2024-01-31
starting page: 37
ending page: 59
doi: 10.32890/jcia2024.3.1.3

THE MODIFIED MEAN ABSOLUTE DEVIATION INTEGER LINEAR PROGRAMMING MODEL FOR GLOBAL PORTFOLIO ASSET ALLOCATION
type: item
description: This study develops a practical yet robust Mean Absolute Deviation (MAD) Mixed-Integer Linear Programming (MILP) model for a global investment portfolio tailored to the constraints faced by Malaysian retail investors, such as transactional fees and foreign currency exchange spreads, to provide more accurate estimations of portfolio returns. The MAD ILP model is modified to address these factors, aiming to enhance utility and efficiency. The study utilizes a Maybank 12-month fixed deposit cash account and ten selected Exchange-Traded Funds (ETFs) from iShares, Vanguard, and State Street Global Advisors for global portfolio construction. Forecasting techniques were utilized to generate expected returns for the ETFs and foreign currency exchange spreads. Based on the MAD model proposed by Konno and Wijayanayake (2001), the study introduces three modifications: incorporating transaction cost elements specific to Malaysian investors, including foreign currency exchange spreads in return calculations, and transforming the model from mixed-integer to pure integer model to accommodate minimum transaction lot constraint. Verification and validation exercises demonstrate the model’s ability to replicate real-world portfolio construction and reliable simulations. The model offers a practical tool for self-ascribed investors aiming to optimize global investment portfolios while considering unique constraints and transaction costs.
subject: Articles
  topic: section
creator: Nadia Edmaz Abdul Hadi
creator: Sahubar Ali Mohamed Nadhar Khan
rights: Hak Cipta (c) 2024 https://creativecommons.org/licenses/by/4.0
date: 2024-08-15
publication date: 2024-08-15
starting page: 1
ending page: 25
doi: 10.32890/jcia2024.3.2.1

SOLVING BIPOLAR FULLY FUZZY SYLVESTER MATRIX EQUATIONS WITH NEGATIVE FUZZY NUMBERS
type: item
description: Sylvester matrix equations play a crucial role in control theory for controller design. Bipolar Fully Fuzzy Sylvester Matrix Equations (FFSME), incorporating both positive and negative components, are employed in controller design to address uncertainties that may affect a system’s performance and stability. However, there is not much existing research on combining bipolar fuzzy numbers and FFSME, and most of them mainly deal with positive coefficients. Thus, this paper presents a method that enables solving the negative coefficient of bipolar FFSME in the form of Left-Right (LR) triangular fuzzy numbers using an Associated Bipolar Linear System (ABLS). To obtain the ABLS, bipolar FFSME is transformed into a bipolar Fully Fuzzy Linear System (FFLS) using the Kronecker product and Vecoperator. Subsequently, the solution is derived through the inverse method, and the equation of the ABLS is rearranged as a bipolar fuzzy matrix. Additionally, this paper provides two numerical examples to illustrate the applicability of the constructed method.
subject: Articles
  topic: section
creator: Nazihah Ahmad
creator: Neendha Cheah Soo Thape
rights: Hak Cipta (c) 2024 https://creativecommons.org/licenses/by/4.0
date: 2024-01-31
publication date: 2024-01-31
starting page: 61
ending page: 82
doi: 10.32890/jcia2024.3.1.4

THE IMPLEMENTATION OF THE ALEXANDER-GOVERN TEST IN FACTORIAL DESIGN ANALYSIS
type: item
description: This study proposed to evaluate the performance of the Alexander-Govern test (AG test), Analysis of Variance (ANOVA), and t-test by analyzing the Type I error rate. The AG test is regarded as a reliable control Type I error rate. This technique is insensitive in the presence of heteroscedasticity under a normal distribution. Simulation research was carried out using Statistical Analysis Software (SAS) to assess the effectiveness of the tests that are based on the rate of Type I error. By creating the conditions that could highlight the strengths and weaknesses of each test, three variables are being manipulated: sample size, variance heterogeneity, and type of pairings. The performance of the AG tests is convincing when it is able to control the Type I error rates better compared to ANOVA under all conditions of heterogeneous variances. Meanwhile, the ANOVA performs best only when the variances are homogenous. A real data experiment was applied to validate the result. In the battery life design experiment, the p-value using the AG test and ANOVA are computed and compared. The AG test provides valid results when it can test the main effect and the interaction effect, as well as the ANOVA. With good performance in the simulation study, the AG test can be considered a good alternative to the ANOVA when the assumptions of the homogeneity of variances are violated in the case of factorial design.
subject: Articles
  topic: section
creator: Nurul Syafiqah Ishak Latfi
creator: Suhaida Abdullah
rights: Hak Cipta (c) 2024 https://creativecommons.org/licenses/by/4.0
date: 2024-01-31
publication date: 2024-01-31
starting page: 19
ending page: 36
doi: 10.32890/jcia2024.3.1.2

FORECASTING RAINFALL VOLUME IN SELANGOR WITH A COMBINED ARIMA MODEL
type: item
description: Flash flood is the most hazardous type of flooding, mainly caused by extensive rainfall. It also can cause significant harm to a community’s economy, ecology, and society without warning at an irrational pace. Therefore, this study was conducted to detect the time series element within the rainfall data, select the optimal model, and make predictions about the volume of rainfall in Selangor. A variety of univariate time series models were utilized, including the naïve model, decomposition model, Autoregressive Integrated Moving Average (ARIMA) model, exponential models, and combined models. Historical monthly rainfall data collected from Petaling station and Subang station from 2018 to 2022 were used to estimate the parameters of the models, and the model was evaluated for the smallest error of measurements. Previous research mostly focused on complex methodologies for forecasting rainfall. However, this research aimed to identify a simple tool for fast prediction of rainfall. The results showed that the combination of the ARIMA (2,0,3) model from Petaling Station and the ARIMA (4,0,4) model from Subang station were able to capture the trends and seasons in the time series with the lowest error of measurement on short-term predictions of rainfall volume. Furthermore, the study delves into the concept of combined time series models, which are blended using weighted performance measures to enhance prediction accuracy further. The research acknowledges certain limitations of univariate time series models, notably their inability to account for intricate interactions among environmental variables and potential long-term trends, such as those stemming from climate change. Overall, the study explores the potential of combining models to refine predictions for forecasting rainfall volume in Klang Valley.
subject: Articles
  topic: section
creator: Huey Yin Tee
creator: Rosnalini Mansor
rights: Hak Cipta (c) 2024 https://creativecommons.org/licenses/by/4.0
date: 2024-01-31
publication date: 2024-01-31
starting page: 83
ending page: 103
doi: 10.32890/jcia2024.3.1.5

A NEW FRAMEWORK ON SUCCESS FACTORS OF SOCIAL MEDIA APPLICATIONS USAGE
type: item
description: Based on many past studies regarding Social Media Applications (SMAs) rarely focus on aspects of continuous use and Perceived Privacy (PP). The increasing user awareness issue regarding PP in using SMA is escalating due to various cybersecurity threats, such as malware, software, password and Man-in-the-Middle (MitM) attacks. Accordingly, this study examines the effect of users' PP on System Quality (SQ), Information Quality (IQ), Service Quality (SVQ), User Satisfaction (US) and Usage (USG) based on the DeLone and McLean Information System (IS) Success Model. A total of 345 samples were used for this study using the convenience sampling approach and SmartPLS 3 as the analysis tool. Based on the study's results, it was discovered that SVQ and IQ affect the use of SMA. In addition, it was discovered that PP affects the relationship between SQ, SVQ and the use of SMA. The analysis results related to PP reveal that it is a dominant construct in the study model. Note that the importance of PP should be a solid foundation for developing an SMA application. The PP component in this study can be used as a guide and checklist for software developers to improve security features and SVQ, which is a catalyst for US and ensure that an SMA application is used continuously.
subject: Articles
  topic: section
creator: Mazlan Mohd Sappri
creator: Mohd Shukri Abdul Hamid
creator: Nor Intan Saniah Sulaiman
creator: Mohd Faizal Omar
rights: Hak Cipta (c) 2023 https://creativecommons.org/licenses/by/4.0
date: 2023-07-31
publication date: 2023-07-31
starting page: 193
ending page: 217
doi: 10.32890/jcia2023.2.2.4

APPLICATION OF BIBLIOMETRIC ANALYSIS ON ROOT GROWTH ALGORITHM
type: item
description: The root growth algorithm has often been used to solve challenging optimization issues. It is one of the metaheuristic algorithms inspired by root growth in plant behaviors. An article reviewed and analyzed bibliographic data on metaheuristics but is not specific on the topic of root growth algorithm. Therefore, this article presents a bibliometric analysis based on the topic of the root growth algorithm. It reviews the publication from the Scopus database. Based on the search process done on 14 February 2023 using the keywords of root growth algorithm, this article managed to gather 1836 articles from 1976-2023. However, this article only focuses on Engineering, Computer Science, and Mathematics to ensure it relates to the area the researcher wants to explore. Moreover, articles in the year 2023 will also be excluded due to incomplete data. After the researcher limited the data to those areas, it was reduced to 837 articles. This article uses three types of software: Microsoft Excel, VOSviewer software, and Harzing’s Publish or Perish software to analyze the frequency, visualization mapping, and citation metrics analysis, respectively. The finding from the bibliometric analysis shows the researcher has noticed that the total publication keeps increasing rapidly from 2014 until 2022. The country that contributes the most to the root growth algorithm topic is China. Furthermore, the most productive author is Chen, H. and all the top 10 productive authors are from China except for Christofides, P. D., who comes from the United States. The top 10 sources of root growth algorithm research contributed over a quarter of the total articles (231 or 27.60%). The results of this study have significant implications for increasing the number of practices using the root growth algorithm in future research. Last but not least, bibliometric analysis on the topic of root growth algorithm is needed to identify influential publications, understand research trends, evaluate research i…
subject: Articles
  topic: section
creator: Tengku Nurul Aimi Balqis Tengku Malim Busu
creator: Saadi Ahmad Kamaruddin
creator: Nor Aishah Ahad
creator: Nor Azura Md Ghani
creator: Hashibah Hamid
rights: Hak Cipta (c) 2023 https://creativecommons.org/licenses/by/4.0
date: 2024-01-31
publication date: 2024-01-31
starting page: 1
ending page: 18
doi: 10.32890/jcia2024.3.1.1

AN ANALYSIS OF THE DATA-DRIVEN REVOLUTION IN INDIAN HEALTH MANAGEMENT INFORMATION SYSTEM AT THE NATIONAL LEVEL
type: item
description: Health Management Information System (HMIS) is a complete government web-based portal designed to manage healthcare data nationally in India. On 23rd October 2008, the government of India dispatched this national-level portal to screen the progress of the National Health Mission so that this HMIS portal could provide a structured report and monitor data over some time, which could help formulate the new national-level policy. This study was conducted through primary and secondary data collection and consisted of a graphical analysis of data observed from April 2008 to March 2020. Various stages of development of national-level HMIS were considered and studied. The Knowledge, Attitude, and Practice (KAP) levels among the Indian healthcare professionals about the Nation Health Portal were studied. Other than that, the analysis provided information on the coverage and usage of health data reporting to national-level HMIS in India. Various underlying causes for data capturing methods and errors in HMIS were identified in the study. The existing challenges and limitations regarding using HMIS were discussed based on statistical analysis and results. The exciting advancements and standardization efforts in enhancing the quality of Health Management Information Systems (HMIS) are poised soon to make a significant impact on integrating national-level data for maximizing the effectiveness of healthcare systems. India must go a long way in the race for a data-driven revolution in health care. Note that the National level Health portal is a great initiative by the government of India.
subject: Articles
  topic: section
creator: Mandyam Roopashree Rangayyan
creator: Abhishek Ajay Manker
creator: Niranjan Ramakrishnan
rights: Hak Cipta (c) 2023 https://creativecommons.org/licenses/by/4.0
date: 2023-07-31
publication date: 2023-07-31
starting page: 253
ending page: 270
doi: 10.32890/jcia2023.2.2.6

STRUCTURAL EQUATION MODEL ON DETERMINANTS OF INTENTION TO USE E-COMMERCE
type: item
description: Although e-commerce is being utilised, its application expanded exponentially during the pandemic due to government restrictions on mobility. Most of the existing literature points to the effect of perceived usefulness and ease of use toward attitudes that affect the intention to use technology. Issues surface relative to the effect of customers' trust in the system and the risks involved. Using Structural Equation Modelling (SEM), the study aimed to investigate the effect of these factors on users' intention to use online shopping. Specifically, it looks into the effect of trust and risk on attitude and intention. Results established that trust affects attitude but not intention, while risk did not significantly affect both. With the online experience over time, consumers generally view e-commerce as easy and useful, especially in acquiring significant information about the product and services and navigating through e-commerce tools. The respondents are aware that there is risk in online transactions such that they prefer to pay cash or GCash upon delivery. However, the effect of risk was not supported partly due to the mobility restrictions during the pandemic. This highlights the need to improve e-commerce designs for consumer protection and more pronounced government policies on online transactions.
subject: Articles
  topic: section
creator: Jun R. Grimaldo
creator: Chin Uy
creator: Ronaldo A. Manalo
rights: Hak Cipta (c) 2023 https://creativecommons.org/licenses/by/4.0
date: 2023-07-31
publication date: 2023-07-31
starting page: 145
ending page: 174
doi: 10.32890/jcia2023.2.2.2

POST-PANDEMIC ANALYSIS FOR VALUE AT RISK OF REAL ESTATE INVESTMENT TRUST IN MALAYSIA UNDER QUANTITATIVE APPROACH
type: item
description: A Real Estate Investment Trust (REIT) is a fund or trust that owns and manages commercial real estate and generates revenue. After two years of the COVID-19 pandemic, the whole REITs sector suffered from lockdown, diminishing revenue from office and shopping mall rentals. Hence, investors may lose more than expected on invested capital without further analysing this situation. This highlights the importance of investors knowing the risk of investing in REITs to plan their investment strategies appropriately. The Value at Risk (VaR) is widely employed to calculate the investment risk under a mathematical model to achieve this. A past review suggested that two approaches had been utilised for modelling, i.e., parametric and non-parametric methods. The methods under non-parametric include historical simulation, Monte Carlo simulation, and bootstrapping simulation. Thus, comparing parametric methods, historical simulation, Monte Carlo simulation, and bootstrapping simulation is essential in determining the best method to analyse the VaR in the Malaysia REITs (M-REITs) sector, which particularly focuses on Malaysia. Actual previous five-year history raw price data for each REIT in Malaysia are extracted from Yahoo Finance, Refinitiv Eikon, and DataStream via University Utara Malaysia’s (UUM) e-resources database. The result of VaR from those methods is compared and validated using backtesting. Other than that, the result reveals that the parametric method and Monte Carlo simulation are good methods for REIT’s VaR calculations in Malaysia, which are close to the current value for 12 from 17 M-REITs companies.
subject: Articles
  topic: section
creator: Tan Kai Xian
creator: Sharmila Karim
creator: Teh Raihana Roslan
rights: Hak Cipta (c) 2023 https://creativecommons.org/licenses/by/4.0
date: 2023-07-31
publication date: 2023-07-31
starting page: 123
ending page: 144
doi: 10.32890/jcia2022.2.2.1

IDENTIFICATION OF FACTORS AND RISK ASSESSMENTS ON FINANCIAL LITERACY: A CASE STUDY ON HOME PURCHASES
type: item
description: Owning a house is among the significant aspects of a productive lifestyle. However, the persistent rise in house prices has affected homeownership for low-income young adults. Due to the poor financial literacy among employed young adults in Malaysia, it is more difficult for them to own a home due to financial constraints. Therefore, this study intends to investigate the factors contributing to financial literacy and the potential risk associated with its absence among working young adults. The methodologies used in this study were the factor analysis approach and decision tree analysis. Note that this study investigates financial literacy among young adults. A questionnaire was utilized for gathering the data, and a convenient sampling technique was adopted for data collection. According to the findings, four variables influence financial literacy among working youths: financial knowledge, financial behavior, financial education, and financial attitude. Consequently, the factors listed in exploratory data analysis in these four variables have been summarized to examine the perceived risk of financial literacy among adolescents in terms of purchasing a home. Finally, this study contributes as a guideline for policymakers in offering structured awareness programmes to improve financial literacy as well as homeownership knowledge among working youths for their future financial resilience.
subject: Articles
  topic: section
creator: Hasimah Sapiri
creator: Zahayu Md Yusof
creator: Masnita Misiran
creator: Nur Najihah Ashaari
rights: Hak Cipta (c) 2023 https://creativecommons.org/licenses/by/4.0
date: 2023-07-31
publication date: 2023-07-31
starting page: 175
ending page: 192
doi: 10.32890/jcia2023.2.2.3