Petaling Jaya Research Articles

Relationship between music genre and the ‘flow state’ during training amongst gym-goers

Background: Music has been shown to affect a person’s ability to achieve flow state during exercise. However, it depends also on the selection of the right music for the exercise and the person in question. Aims and Objectives: The present study aims to examine the relationship between the ‘flow state’ of gym-goer’s training and the music genre gym-goers listen to during training. Materials and Methods: Data were collected from a sample of 167 gym-goers from different gyms in the Petaling Jaya (PJ) area, utilizing a purposive sampling technique. Results: The results revealed that the most preferred genre of music listened to while training, across all genders, ages, and types of training, was ‘Pop’ music (m = 3.6 ± 1.17). In terms of gender, females listen to significantly more ‘Pop’, ‘K Pop’, and ‘Soul’ than males. Pearson correlational analysis reviewed that listening to ‘Hard Rock’ (r = .273, P = .001), ‘Rock’ music (r = .222, P = .004), and Hip Hop (r = .204, P = .008) while training was found to have a significant correlation with experiencing flow state. Conclusions: The findings of this study provide gym-goers, gym owners, coaches, and sports psychologists with a comprehensive understanding of the genres of music to listen to or play while training to enhance the quality of training.

Book Review: AL-BUTI AND THE SYRIAN REVOLUTION by Bachar Bakour

Bachar Bakour, Al-Buti and the Syrian Revolution. Islamic Book Trust, Petaling Jaya, Selangor, 2020. 349 pp. ISBN-10: 9670526817; ISBN-13: 978-9670526812. Bachar Bakour’s Al-Buti and The Syrian Revolution underscores, through balanced academic analysis, a critical juncture in the history of contemporary Syria, where a horrific war claimed the lives of thousands and displaced millions of others in a calamitous manner around the world. The author has thoroughly examined al-Buti's views on the Syrian revolution and the ensuing war. His insights into al-Buti's legal and maqasidic thinking were based on interviews, document analysis and his personal experience as a young Syrian scholar. The book provides critical insights into al-Buti's positions on the Syrian Revolution and political Islam, Islamist movements and his relationship with the ruling family in Syria.

Variability of PM10 level with gaseous pollutants and meteorological parameters during episodic haze event in Malaysia: Domestic or solely transboundary factor?

Haze has become a seasonal phenomenon affecting Southeast Asia, including Malaysia, and has occurred almost every year within the last few decades. Air pollutants, specifically particulate matter, have drawn a lot of attention due to their adverse impact on human health. In this study, the spatial and temporal variability of the PM10 concentration at Kelang, Melaka, Pasir Gudang, and Petaling Jaya during historic haze events were analysed. An hourly dataset consisting of PM10, gaseous pollutants and weather parameters were obtained from Department of Environment Malaysia. The mean PM10 concentrations exceeded the stipulated Recommended Malaysia Ambient Air Quality Guideline for the yearly average of 150 μg/m3 except for Pasir Gudang in 1997 and 2005, and Petaling Jaya in 2013. The PM10 concentrations exhibit greater variability in the southwest monsoon and inter-monsoon periods at the studied year. The air masses are found to be originating from the region of Sumatra during the haze episodes. Strong to moderate correlation of PM10 concentrations was found between CO during the years that recorded episodic haze, meanwhile, the relationship of PM10 level with SO2 was found to be significant in 2013 with significant negatively correlated relative humidity. Weak correlation of PM10-NOx was measured in all study areas probably due to less contribution of domestic anthropogenic sources towards haze events in Malaysia.

Abstract 76: The “Knowledge-To-Action” Process Model for Cancer Control Stakeholder Engagement for the REBUNG Selangor, Malaysia

Abstract Purpose: Stage at diagnosis for most cancers remains advanced, despite multiple efforts. Situational awareness is critical in implementing projects in the B40 community. REBUNG (Reducing Barriers in Cancer Early Diagnosis in Urban B40 Group) is a multi-sectoral complex intervention that studies a community and the processes of accessing early cancer diagnosis in a single-site urban poor pilot community in Taman Medan, Petaling Jaya. Methods: The project was guided by the “Knowledge-To-Action” (KTA) process to translate research into ‘real-world’ settings. The processes and dynamics of the health systems, financial support and political landscape were analysed to identify actors and drivers. Consultative engagement minutes, reports and existing cancer control documents were reviewed. These stakeholders were engaged through iterative meetings to invite them to participate in the REBUNG project and identify their roles. Snowballing technique was used to recruit decision-makers and program implementers. Results: Sixty-two stakeholders made of health professionals, administrators, and organisations were pooled from 44 consultative meeting minutes. Manual methods were used to organise the themes. Theme 1: Main Stakeholders, Theme 2: Roles and Responsibilities, Theme 3: Changes in Roles and Processes. Through stakeholder management, community health promotion activities and optimal care pathways were supported by established cancer NGOs, community leaders and private and MOH health facilities. Conclusion: REBUNG stakeholder engagement and management co-created access to screening and expedited early cancer diagnosis pathways in the pilot primary care community clinic in the urban B40 community. The sustainability of co-created care pathways would be necessary for structural stability and continuity of expedited early cancer diagnosis care pathways. Citation Format: Nur Aishah Taib, Hamizah Sa’at, Haireen Abdul Hadi, Yew Kong Lee, Suat Yan Lai, Nurhyikmah Lothfi, Norhashimi Saad, Suet Yin Chow, Vicky Ayadurai, Suniza Jamarish, Boon Kiong See, Zainab Abdullah, Murallitharan Munisamy, Sylvia McCarthy, Wan Hilya Munira Mustapha, Zakiah Mohd Said, Nor Saleha Ibrahim Tamin, Feisul Mustapha. The “Knowledge-To-Action” Process Model for Cancer Control Stakeholder Engagement for the REBUNG Selangor, Malaysia [abstract]. In: Proceedings of the 11th Annual Symposium on Global Cancer Research; Closing the Research-to-Implementation Gap; 2023 Apr 4-6. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2023;32(6_Suppl):Abstract nr 76.

Artificial intelligence-assisted air quality monitoring for smart city management.

The environment has been significantly impacted by rapid urbanization, leading to a need for changes in climate change and pollution indicators. The 4IR offers a potential solution to efficiently manage these impacts. Smart city ecosystems can provide well-designed, sustainable, and safe cities that enable holistic climate change and global warming solutions through various community-centred initiatives. These include smart planning techniques, smart environment monitoring, and smart governance. An air quality intelligence platform, which operates as a complete measurement site for monitoring and governing air quality, has shown promising results in providing actionable insights. This article aims to highlight the potential of machine learning models in predicting air quality, providing data-driven strategic and sustainable solutions for smart cities. This study proposed an end-to-end air quality predictive model for smart city applications, utilizing four machine learning techniques and two deep learning techniques. These include Ada Boost, SVR, RF, KNN, MLP regressor and LSTM. The study was conducted in four different urban cities in Selangor, Malaysia, including Petaling Jaya, Banting, Klang, and Shah Alam. The model considered the air quality data of various pollution markers such as PM2.5, PM10, O3, and CO. Additionally, meteorological data including wind speed and wind direction were also considered, and their interactions with the pollutant markers were quantified. The study aimed to determine the correlation variance of the dependent variable in predicting air pollution and proposed a feature optimization process to reduce dimensionality and remove irrelevant features to enhance the prediction of PM2.5, improving the existing LSTM model. The study estimates the concentration of pollutants in the air based on training and highlights the contribution of feature optimization in air quality predictions through feature dimension reductions. In this section, the results of predicting the concentration of pollutants (PM2.5, PM10, O3, and CO) in the air are presented in R2 and RMSE. In predicting the PM10 and PM2.5concentration, LSTM performed the best overall high R2values in the four study areas with the R2 values of 0.998, 0.995, 0.918, and 0.993 in Banting, Petaling, Klang and Shah Alam stations, respectively. The study indicated that among the studied pollution markers, PM2.5,PM10, NO2, wind speed and humidity are the most important elements to monitor. By reducing the number of features used in the model the proposed feature optimization process can make the model more interpretable and provide insights into the most critical factor affecting air quality. Findings from this study can aid policymakers in understanding the underlying causes of air pollution and develop more effective smart strategies for reducing pollution levels.

Social Wellbeing by Design for Urban Ageing: Health Awareness and IT Services

Healthcare is an essential component for sustaining life quality as it advances. The adage "health is wealth" emphasizes that healthcare should be accessible to everyone, regardless of race, age, religion, or socioeconomic status. Although the healthcare sector has significantly expanded and improved over the years, it has shifted focus from societal benefit to commercialization, disproportionately affecting the poor and elderly. The Sustainable Development Goals (SDGs) aim to reduce poverty in all its forms by 2030, and addressing healthcare accessibility is an integral part of this objective. Elderly individuals, particularly those over 60 years old, face challenges due to mobility and potential financial constraints. This paper employs Soft Systems Methodology (SSM) to elucidate the relationship between these issues and enhance stakeholder understanding at a local housing area in Petaling Jaya, Selangor, Malaysia as the case study. With smartphones being ubiquitous in urban areas and the COVID-19 pandemic underscoring the need for accessible healthcare applications, mobile technology offers immense potential for expanding healthcare services in developing countries through remote consultations. This study aims to facilitate easy access to healthcare services for the elderly in urban settings by promoting technological literacy while addressing mobility and cost concerns.

Book Review: The Development of Chinese Education in Malaysia

The book “The Development of Chinese Education in Malaysia”, authored by Tan Yao Sua, published in 2021 by Strategic Information and Research Development Centre, Petaling Jaya. This book’s publication is considered relevant since it will help to provide an overview of how Chinese mother tongue education has evolved through time. Currently, the majority of scholarly works that discuss historical issues and the development of Chinese mother tongue education are published in Chinese language, making them inaccessible to readers who do not speak or comprehend the language. For readers who can understand Chinese, their exposure to reading materials that touch on historical issues and the development of Chinese mother tongue education in languages other than Chinese can certainly give them a more comprehensive picture. Indeed, the reader’s perception can certainly avoid the sense of punishment that is pushed outside of the narrow and assumed ethnic scope. It is also appropriate as scholarly reference material for researchers who specialize in Chinese mother tongue education as well as readers from all walks of life who are curious about the background of Malaysia’s Chinese mother tongue education system.

Characteristics of PM10 Level during Haze Events in Malaysia Based on Quantile Regression Method

Malaysia has been facing transboundary haze events repeatedly, in which the air contains extremely high particulate matter, particularly PM10, which affects human health and the environment. Therefore, it is crucial to understand the characteristics of PM10 concentration and develop a reliable PM10 forecasting model for early information and warning alerts to the responsible parties in order for them to mitigate and plan precautionary measures during such events. This study aims to analyze PM10 variation and investigate the performance of quantile regression in predicting the next-day, the next two days, and the next three days of PM10 levels during a high particulate event. Hourly secondary data of trace gases and the weather parameters at Pasir Gudang, Melaka, and Petaling Jaya during historical haze events in 1997, 2005, 2013, and 2015. The Pearson correlation was calculated to find the correlation between PM10 level and other parameters. Moderate correlated parameters (r > 0.3) with PM10 concentration were used to develop a Pearson–QR model with percentiles of 0.25, 0.50, and 0.75 and were compared using quantile regression (QR) and multiple linear regression (MLR). Several performance indicators, namely mean absolute error (MAE), root mean squared error (RMSE), coefficient of determination (R2), and index of agreement (IA), were calculated to evaluate and compare the performances of the predictive model. The highest daily average of PM10 concentration was monitored in Melaka within the range of 69.7 and 83.3 µg/m3. CO and temperature were the most significant parameters associated with PM10 level during haze conditions. Quantile regression at p = 0.75 shows high efficiency in predicting PM10 level during haze events, especially for the short-term prediction in Melaka and Petaling Jaya, with an R2 value of >0.85. Thus, the QR model has high potential to be developed as an effective method for forecasting air pollutant levels, especially during unusual atmospheric conditions when the overall mean of the air pollutant level is not suitable for use as a model.

AN ANALYSIS OF THE FACTORS THAT IMPACT THE CUSTOMERS’ SATISFACTION ON ONLINE FOOD DELIVERY SERVICES IN PETALING JAYA, SELANGOR, MALAYSIA

Gender equality in education has been an issue of interest in developing strategies for This research focuses on customer satisfaction with Malaysia's online food delivery (OFD) services. In this decade, the number of individuals who frequently purchased meals online climbed dramatically. People nowadays prefer their meals to be delivered instead of dining in a restaurant. Hence, it is crucial to understand the customers' expectations to manage a successful meal delivery business. People used to have to dine at restaurants or order takeout, but today OFD businesses provide convenience and have transformed customer behavior. This study also investigates the intrinsic and extrinsic factors influencing Malaysian's meal delivery satisfaction. Questionnaires were distributed to consumers in Petaling Jaya metropolitan area to collect and analyze data for this study. 384 respondents contributed to this study's findings, discussion, and conclusion. This study tested three independent variables that influence customers' satisfaction: hedonic motivation, price-saving orientation, and time-saving orientation. As a result, this study's three independent variables were statistically significant in satisfying customers. In conclusion, this study can be used to increase the usage of OFD services in the future. However, there are many factors to consider, as it was proven that the three independent factors positively contribute to customer satisfaction. Thus, the OFD service developers must create a solid impression that using OFD services is engaging and intriguing. Additionally, marketers must foster the idea that OFD services are integral to the user's lifestyle.<p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0098/a.php" alt="Hit counter" /></p>

Cardiorespiratory Mortality Prediction Based on Air Pollution Using Tree-Based Ensemble Models

Air pollution has a substantial negative impact on human wellbeing and health. Cardiorespiratory mortality is one of the primary effects of air pollution. In this study, we provide analysis of air pollution, cardiorespiratory mortality and the cardiorespiratory mortality is predicted based on air pollution using tree-based ensemble models. The tree-based ensemble models utilized in this study are Voting Regressor (VR), Random Forest (RF), Gradient Tree Boosting (GB), and Extreme Gradient Boosting (XGBoost). The used dataset contains data for five research locations: Shah Alam (SA), Klang (KLN), Putrajaya (PUJ), Cheras, Kuala Lumpur (CKL), and Petaling Jaya (PJ) from January 2006 to December 2016. The results show that XGBoost and VR models outperformed the rest of the models with the best evaluation metric scores in the Klang study area, XGBoost(MAE:0.005, RMSE:0.010, MAPE:0.70%) and VR (MAE:0.005, RMSE:0.011, MAPE:0.70%). The results reveal that the utilized models provided an excellent and accurate prediction of cardiorespiratory mortality based on air pollution and can follow the trend of cardiorespiratory mortality.

The Prediction of Affordable Housing Prices in Petaling Jaya District Using R Statistical Computing Environment

Affordable housing especially in a city environment is recognized as one of citizen needs among the mid-dle-income groups. This research paper intended to explore the possibilities to use data mining algorithms: Linear Regression, Random Forest and Gradient Boosting algorithms for predicting and analyzing the housing affordability price for middle-income earners in Petaling Jaya district, Malaysia. The dataset from Malaysia House Index by Petaling Jaya district used to evaluate based on the proposed algorithms. The dataset extracted based on residential property sub-sectors with three attributes. Based on the prediction models, as results, the Gradient Boosting algorithm shows higher accuracy of 74% for predicting affordable housing price in Petaling Jaya district, Malaysia compared to other prediction techniques.

PERFORMANCE APPRAISAL AND ORGANIZATIONAL PERFORMANCE IN SELECTED TERTIARY INSTITUTIONS IN PETALING JAYA, SELANGOR

Institutional performance in Petaling Jaya, Selangor, was investigated through a focus on performance appraisal. It looked into how performance reviews affect employees’ dedication, what factors go into creating a positive review, and how that impacts the organization’s bottom line. This study relied on original data collected from a representative sample of residents in the study area. Data collection strategy included a questionnaire. A total of 120 questionnaires were sent out to respondents, and after 96 were collected, it was determined that they were usable. Descriptive and inferential statistics were used to analyze the collected data. The results showed that an efficient performance appraisal system has an effect on staff loyalty (2 = 75.004, p.000). The chi-square test revealed that performance reviews have an effect on an organization’s output (2 = 43.103, p = 0.000). Similarly, evidence suggested that the halo effect and the culture of an organization might have an impact on performance reviews. According to the results of the study, the efficiency of an organization’s performance appraisal system is correlated with that system.’

KNOWLEDGE, ATTITUDE AND PRACTICES OF FOOD WASTE MANAGEMENT AMONG FOODSERVICE OPERATORS IN PETALING JAYA UTARA (PJU) 9 AND 10, SELANGOR

Malaysia generated about 17,000 tonnes of food waste daily in 2021 and 24% of this waste was still edible. Wasting food is not only just an economic or humanitarian concern but it also affects the environment and can increase carbon footprint and biodiversity losses. Although many food waste campaigns have been launched in Malaysia recently, there is still a gap of adequate knowledge and practices as well as the right attitude in local communities especially among foodservice workers, towards food waste prevention. Therefore, the level of knowledge, attitude and practices (KAP) on food waste among foodservice operators were assessed in this study to identify the factors that contribute to food waste generation among foodservice operators so that effective corrective methods could be developed to address this problem. A self-administered questionnaire surveying 136 respondents of foodservice operators in PJU 9 and 10, Petaling Jaya, Selangor using convenience sampling were conducted. The results showed that the respondents had a good level of knowledge (86%) while attitudes were at a moderate level (76.5%) and practices of food handling were identified to be at a low level (48.5%). The evaluation of the relationship between the three elements of KAP on the generation of food waste revealed that there was a weak positive relationship between knowledge and attitude (r = 0.26, p < 0.05) as well as between knowledge and practices (r = 0.21, p < 0.05). However, a weak negative relationship (r = - 0.22, p = 0.01) was noted in the relationship between attitude and food handling practices. These results indicate that high knowledge of food waste generation as a factor may not help change the attitude patterns and practices of foodservice operators in food waste mitigation. In this regard, positive and negative reinforcements may be one of the best approaches for sustainable food waste management among foodservice operators, for example, offering incentives to those who produce less food waste and levying a penalty to those who produce more may act as a deterrent.

GIS based Spatial Distribution Map of Petrol Stations using Geostatistical Analysis in Selangor Malaysia

In recent decades, Malaysia's growth has been largely driven by oil and gas production. There is a clear objective behind this study, which is to integrate spatial analysis as an essential method of identifying the location and distribution of a petrol station using GIS software. Five oil companies, namely Petronas, Caltex, Shell, Petron, and BHPetrol, were invested in Malaysia. This study employs Kernel Density Estimation (KDE) for spatial analysis, Local Moran's I, and Getis-Ord Gi for statistical analysis. The results of the study indicate that high-high clusters and densities can be found in Kuala Lumpur, Seri Kembangan, Petaling Jaya, Shah Alam, and Klang. The Getis Ord Gi statistic has 9.8 % of total boundaries. There is a high concentration of petrol stations in the middle of the city. This is because the goal is to encourage them to use it easily to improve their business performance. This study found that the factors considered to be the most significant factors varied from one station to the next based on the results of this study. This is in agreement with the analysis that was conducted as a result of this study.

PERCERAIAN YANG DILAKUKAN OLEH HAKAM DI MAHKAMAH RENDAH SYARIAH PETALING JAYA SELANGIR, MALAYSIA (ANALISIS BERDASARKAN PENDAPAT IMAM SYAFI'I)

ABSTRACT : This thesis is titled “ Divorce was done by the Hakam in a Petaling Jaya Selangor Syariah Court, Malaysia” ( Analysis based on the opinion of the Imam Syafi‟i). The main problem in this study is, first is to knowing the execution by the Hakam. Second, factors that cause justice can divorce. Third, studied the Imam Syafi‟i view of the divorce in lower syariah court of Petaling Jaya Selangor. Researchers use empirical legal examining divorce-related arrangements that is conducted by hakam contained in section 48, Enactmen Islamic Family Law ( Selangor State) 2003. This research uses data collection techniques with library and field studies. The results showed that and several authorized employess. The results showed that the inauguration of hakam was made after the court agreed to the dispute ( shiqaq) that is always in effect in the period of marriage after the completion of peace affairs at the level of the Office of Peace ( Juru Damai) failed or did not find a way out. Therefore, hakam has the role of gaining authority in pronouncing divore rather than husband if the process of reconciliation fails and the husband is reluctant to recite the divorce. The factors which cause hakam to divorce are the first is, royal taqnin as stipulated by the statutory obligation for the people to obey it. Second, defending the fate of women hung without strings. Third, be a solution for the wife if the husband is reluctant to divorce even though it has caused harm. However, in the opinion of the Imam Syafi‟i here that does not require a wife to sue for divorce on the grounds of shiqaq. On the contrary, the judge who hears these demands should appoint hakam for the husband and hakam for the wife in order to reconcile the husband and wife. Hakam meant here is not authorised to drop divorce and is only authorised as a representative to reconcile husband and wife. Keyword : Divorce by Hakam, Petaling Jaya Selangor, Imam Syafi‟i

Awareness on Stroke Warning Signs and Risk Factors amongst Rural Population in Selangor

Stroke is a neurological disorder known to be the third leading cause of death in Malaysia. Eighty percent of the cases occurred due to abrupt blockage of blood supply to the brain causing the affected brain area to become damaged and lead to disability or even death [1]. The gold standard treatment via tissue plasminogen activator, however, is most effective to be administered within three hours after the onset of stroke symptoms [2]. According to previous report in 2020, most of the stroke patients that arrived late at the emergency medical care unit were due to the delay in deciding to seek medical attention following the stroke symptoms [3]. Lack of knowledge about the stroke risk factor, signs, and symptoms as well as the tendency of procrastination can result in delay in seeking medical treatment. Several studies had reported the poor level of understanding as well as awareness of stroke signs and symptoms among urban population in Malaysia [4,5]. Therefore, the objective of this cross-sectional study is to explore the awareness and action towards stroke symptoms and risk factors amongst rural population in Selangor, Malaysia.
 
 A cross- sectional questionnaire-based study via snowball sampling was conducted amongst the adult individuals residing in several districts of Hulu Selangor, Sabak Bernam and Kuala Selangor that are recognized as rural areas by the Selangor state council. The study used a set of developed questionnaires that consists of two sections: sociodemographic characteristics as well as the awareness and action towards stroke symptoms and risk factors. Descriptive analysis was used to express the variables.
 
 Of the 343 respondents, the mean ±SD for awareness on stroke symptoms was 3.9±1.82 out of a total score of 8 whereas awareness on stroke risk factors was 8.9±3.68 out of a total score of 13 (Table 1). The awareness about the stroke symptoms was considered poor as only 36.44% subjects were able to identify all five symptoms of stroke. Meanwhile only 32.4% of respondents were aware of all the risk factors for stroke despite all of them (100%) had heard about stroke. Although most of the respondents recognized stroke as an emergency condition, only 31.8% of them were aware of the appropriate action of calling an ambulance upon recognizing stroke symptoms (Table 2).
 Previous reports on awareness of stroke symptoms and risk factors were mostly conducted among urban population is Selangor. In 2014, a similar survey conducted among residents in Kajang reported that only 35% of the respondents had satisfactory knowledge of the stroke warning signs while 29% had satisfactory knowledge on the stroke risk factors. Although 78% can correctly recall Emergency Medical Systems number, only 11% were aware of calling the ambulance as the most appropriate action towards witnessing stroke symptoms in individuals [4]. On the other hand, a more recent study conducted among Petaling Jaya residents in 2019 reported that 82.9% to 92.1% of the respondents were able to recognize common symptoms of stroke followed by 74.2% of the study respondents saying that they would go to hospital within 4.5 hours of stroke onset [5].
 
 On contrary, the present study indicates a poor awareness and action towards stroke symptoms amongst rural population in Selangor. Thus, it is suggested that future intervention programs should focus on health promotion and awareness program related to cardiovascular diseases to the community living in the rural districts of Selangor.

Framework: Local Nighttime Ozone Management and Prevention (LNOMP)

Due to the absence of sunlight and lack ozone production during nighttime, ground-level ozone was labelled as a critical period for ozone depletion. This study proposed a local ozone management and implementation based on the major cause of ozone deflection in chemical reactions during nighttime. Three highlighted locations (Klang, Shah Alam and Petaling Jaya) categorized as the highest NO and NO2 production was focused on this study (urban and sub-urban area) from 2006 to 2016. The descriptive statistics (O3 and NO) with population density were analysed as an observation for proposed a new implementation system for reducing O3 during nighttime and preventing it from contributing the next day concentration. The interaction between O3 and NO concentration was explained based on diurnal analysis. The crucial time for nighttime O3 deflection was between 7 PM until 12 AM. Therefore, the local nighttime ozone management was pulled out as the nighttime O3 reduction was understandable. The framework was consisting a management policy by the federal government, state government and local authority, with a plan for nighttime implementation by local government in Malaysia.

Effects of Mismatch of Anthropometric Measurements on School Furniture among Primary School Children in Petaling Jaya, Selangor

The project is an improvement and innovation of newly redesigned school furniture for the primary school. It is now made to provide comfort and user-friendly activities for the user which is small children. It has an adjustable mechanism that helps to provide the height of the desk according to their preference. Aside from that, the desk is not redesigned to be more visually appealing to fit the narrative of a new modern design for the school. Concerning this, we seek to create furniture that takes into account these new trends and formats, emphasizing the characteristics of the educational equipment of public institutions: intensive use, difficulties in replacement and maintenance, etc. This resulted in an individual desk, which allows the possibility of varying the layout of the students in the classroom, robust and User-friendly.

Effects of Poor Communication in the Construction Industry in Klang Valley, Malaysia

The construction industry is a risky and complex industry involving various parties characterized with different objectives, skills, cultures, and values. This requires effective communication management to facilitate interaction between them and ensure delivery of successful projects. The poor performance of the Malaysian construction sector has its root in poor communication. Poor communication may result in project failure. Therefore, this paper is essential to investigate the effects of communication issues in the construction industry. This research study was conducted and analysed using SPSS Software. The five-point Likert type scale has been adopted for the questions which is distributed to over 121 respondents who are working in the construction industry around Petaling Jaya, Klang Valley, Malaysia. A total of 8 effects of poor communication in the construction industry were identified. The most dominant effect is time overrun while other effects include project failure, cost overrun, fatal and non-fatal accidents, waste generation, increase carbon footprint and contribute to greenhouse effect. However, questionnaire surveys may result in dishonest answers. Hence, the study recommends conducting physical interviews to better understand respondents view on the negative impacts of poor communication and at the same time, raise awareness as a strategic approach to achieve successful construction projects.

Prediction of Daily Air Pollutants Concentration and Air Pollutant Index Using Machine Learning Approach

The major air pollutants in Malaysia that contribute to air pollution are carbon monoxide, sulfur dioxide, nitrogen dioxide, ozone, and particulate matter. Predicting the air pollutants concentration can help the government to monitor air quality and provide awareness to the public. Therefore, this study aims to overcome the problem by predicting the air pollutants concentration for the next day. This study focuses on an industrial, the Petaling Jaya monitoring station in Selangor. The data is obtained from the Department of Environment, which contains the dataset from 2004 to 2018. Subsequently, this study is conducted to construct predictive modeling that can predict the air pollutants concentrations for the next day using a tree-based approach. From the comparison of the three models, a random forest is a best-proposed model. The results of PM10 concentration prediction for the random forest is the best performance which is shown by RMSE (15.7611–19.0153), NAE (0.6508–0.8216), and R2 (0.346–0.5911). For SO2, the RMSE was 0.0016–0.0017, the NAE was 0.7056–0.8052, and the R2 was 0.3219–0.4676. The RMSE (0.0062–0.0075), the NAE (0.7892–0.9591), and the R2 (0.0814–0.3609) for NO2. The RMSE (0.3438–0.3975), NAE (0.7387–0.9015), and R2 (0.2005–0.4399) for CO were all within acceptable limits. For O3, the RMSE was 0.0051–0.0057, the NAE was 0.8386–0.9263, and the R2 was 0.1379–0.2953. The API calculation results indicate that PM10 is a significant pollutant in representing the API.