Lumpur Research Articles

Penyuluhan Manajemen Kecerdasan Emosional Anak bagi Orang Tua di Sekolah Indonesia Kuala Lumpur Malaysia : Kolaborasi Pengabdian Internasional

This community service activity aims to increase parents' understanding of managing children's emotional intelligence during their growth period towards adolescence at the Kuala Lumpur Indonesian School (SIKL) in Malaysia. The method of implementing the service used interactive counselling, with the target being 30 parents of children at the Kuala Lumpur Indonesian School. The stages of this activity included initial needs analysis, preparation, implementation coordination, activity evaluation, and data analyzed descriptively. The results of this service activity showed that the level of parental understanding in children's emotional management increased significantly; this is proven by data on the level of parental understanding before counseling was carried out as follows: a) 6% understand how to manage emotions; b) 60.8% do not understand how to manage emotions; and c) 34.2% understand some of the emotion management. After carrying out the counseling, the following results were obtained: a) 56.7% knew and understood how to manage emotions; b) 6.7% did not understand how to manage emotions; and c) 36.6% understood some of emotion management. From these data, it can be concluded that parents' understanding of managing emotional intelligence in children has increased to 56.70%.

Predicting air quality trends in Malaysia’s largest cities: the role of urban population dynamics and COVID-19 effects

This paper aims to explore the relationship between the Air Quality Index (AQI), COVID-19 incidence rates, and population density within Malaysia’s ten most populous cities from January 2018 to December 2021. Data were sourced from the Department of Statistics Malaysia, the World Air Quality Index Project, and Our World in Statistics. The methodology integrated population-based city classification and AQI assessment, cluster analysis through SPSS, and Generalized Additive Mixed Model (GAMM) analysis using R Studio despite encountering a data gap in AQI for five months in 2019. Cities were organized into three clusters based on their AQI: Cluster One included Ipoh, Penang, Kuala Lumpur, and Melaka, Cluster Two comprised Kuantan, Seremban, Johor Bahru, and Kota Bharu, Cluster Three featured Kota Kinabalu and Kuching. GAMM analysis revealed prediction accuracies for AQI variations of 58%, 60%, and 41% for the respective clusters, indicating a notable impact of population density on air quality. AQI variations remained unaffected by COVID-19, with a forecasted improvement in air quality across all clusters. The paper presents novel insights into the negligible impact of COVID-19 on AQI variations and underscores the predictive power of population dynamics on urban air quality, offering valuable perspectives for environmental and urban planning.

One-step vs horizon-step training strategies for multi-step traffic flow forecasting with direct particle swarm optimization grid search support vector regression and long short-term memory

In the increasingly complex urban transportation landscape, the necessity for accurate, multi-step forecasting has never been more apparent to help plan for long-term, strategic transportation initiatives like Intelligent Transportation Systems. This work focuses on resolving uncertainties around the proper training step size for machine learning models performing multi-step traffic flow forecasting. Two strategies are considered: one-step and horizon-step training sizes, which extend from the single-step forecasting method. This paper compares and evaluates two machine learning models: the Support Vector Regression and Long Short-Term Memory (LSTM). Data from two country road locations, including urban roads in Kuala Lumpur and the I5-North freeway in California, are employed to forecast traffic flow in 1-hour increments, projecting from 2 h up to 24 h ahead. The results reveal a significant difference in performance between the two training step sizes, with the one-step training size emerging as the more consistent and optimal strategy for both Direct and Multi-Input Multi-Output forecasting strategies. The proposed model, the Direct Particle Swarm Optimization Grid Search Support Vector Regression (Direct-PSOGS-SVR) model, exhibited comparable or slightly better performance than the LSTM model in both environments. In the I5-North freeway dataset, the Direct-PSOGS-SVR achieved similar Root Mean Squared Error values across most forecasting tasks compared to the LSTM, indicating its effectiveness in stable traffic flow patterns. Notably, in the more dynamic urban environment of Kuala Lumpur, the Direct-PSOGS-SVR model also demonstrated stability and resilience in forecasting accuracy, effectively handling the inherent noise and fluctuations in traffic patterns. These findings serve as a valuable guide for practitioners in selecting the most efficacious combination of training strategies for specific time series forecasting tasks utilizing machine learning models, particularly in traffic flow forecasting. Introducing the Direct-PSOGS-SVR model enriches the landscape of machine learning solutions for traffic forecasting, underscoring the paper’s contributions to the broader understanding of time series forecasting dynamics.

Dynamical drivers of free-tropospheric ozone increases over equatorial Southeast Asia

Abstract. Positive trends in tropical free-tropospheric (FT) ozone are frequently ascribed to emissions growth, but less is known about the effects of changing dynamics. Extending a prior study (Thompson et al., 2021; https://doi.org/10.1029/2021JD034691; “T21”), we re-examine Southern Hemisphere Additional Ozonesondes (SHADOZ) ozone trends over equatorial Southeast Asia (ESEA), one of Earth's most convectively active regions, using 25 years (1998–2022) of ozone soundings. T21 posited that early-year positive FT ozone trends at equatorial SHADOZ stations are related to decreasing convection. The 25-year analysis of Kuala Lumpur and Watukosek SHADOZ records finds that FT ozone trends of +5 % to +15 % (+2 to +6 nmol mol−1) per decade from ∼ February–April coincide with large increases in satellite infrared brightness temperatures and outgoing longwave radiation, indicators of declining convective activity. MERRA-2 reanalyses exhibit increases in upper-tropospheric velocity potential and decreases in precipitable water, also indicating diminished convection. In contrast, trends in ozone and convective indicators are weak the rest of the year. These results suggest that decreases in convective intensity and frequency are primary drivers of FT ozone build-up over ESEA early in the year; i.e., waning convection suppresses lofting and dilution of ozone. Decreasing convection promotes accumulation of biomass burning emissions typical of boreal spring even though satellite FT carbon monoxide trends (2002–2022) over ESEA follow a global decrease pattern. Finally, our results demonstrate the advantages of monthly or seasonally resolved analyses over annual means for robust attribution of observed ozone trends, challenging models to reproduce these detailed features in simulations of the past 25 years.

Unveiling urban violence crime in the State of the Selangor, Kuala Lumpur and Putrajaya: a spatial–temporal investigation of violence crime in Malaysia’s key cities

Unveiling urban violence crime in the State of the Selangor, Kuala Lumpur and Putrajaya: a spatial–temporal investigation of violence crime in Malaysia’s key cities

Short-term Non-invasive Ventilation for Children with Palliative Care Needs

Objectives: Non-invasive ventilation (NIV), namely continuous positive airway pressure (CPAP) and bi-level positive airway pressure (BiPAP), delivers mechanical ventilation without endotracheal intubation. Short-term NIV (planned for <21 days during initiation) can be used for the management of acute respiratory distress (ARD) among paediatric palliative patients with “Do Not Resuscitate or Intubate” (DNI) as the ceiling of care. This study aimed to describe the usage of short-term NIV among paediatric palliative patients in a woman and child hospital with a paediatric palliative subspecialty. Materials and Methods: A retrospective and observational study was conducted on all paediatric palliative patients who received short-term NIV in Tunku Azizah Hospital Kuala Lumpur, Malaysia, from March 2020 to May 2022. Results: During the study period, short-term NIV was offered on 23 occasions for 20 different children. Indications for short-term NIV include 16 (69.6%) occasions of potentially reversible ARD (NIV Category 1) and 7 (30.4%) occasions of comfort care at the end of life (NIV Category 2). The main cause of ARD was pneumonia (90.3%) due to either aspiration or infection. The modality of NIV used was BiPAP only (14 occasions, 60.9%), CPAP only (three occasions, 13%) and both BiPAP and CPAP (six occasions, 26.1%). The median duration of NIV usage was four days (minimum one day and maximum 15 days). NIV was initiated as an escalation from nasal prong, Ventimask or high-flow mask oxygen on 22 occasions and as weaning down post-extubation on one occasion. For the 22 occasions of escalating therapy, there was significant improvement at six hours compared to pre-NIV in the median heart rate (136 to 121, P=0.002), respiratory rate (40 to 31, P=0.002) and oxygen saturation (96% to 99%, P=0.025). All 17 documented parental impressions of the child’s condition post six hours of NIV were that the child had improved. Adverse events during short-term NIV include five episodes (21.7%) of stomach distension, four episodes (17.4%) of skin sores on the face and one episode (4.3%) of excessive drooling. Three patients passed away while on NIV in the hospital. For the other 20 (87%) occasions, patients were able to wean off NIV. Post-weaning off NIV, three patients passed away during the same admission. On 17 occasions, patients were discharged home after weaning off NIV. Conclusion: Usage of short-term NIV in paediatric palliative care, where children have an advanced directive in place indicating DNI, as seen in our study, can be a valuable modality of management for distressing symptoms, in addition to the pharmacological management of breathlessness. This is shown through our study to be of benefit in potentially reversible ARD as well as comfort care at the end of life. Further rigorous studies will need to be conducted for a clearer understanding of short-term NIV that would enable the formulation of guidelines to improve the quality of life and death in children.

The Impact of Digital Content Marketing on Customer Engagement in an Online Fashion Store

In the contemporary era of technological advancement characterized by the flourishing of online shopping and the fashion e-commerce industry, it is essential for fashion retail enterprises to possess a comprehensive understanding of the interrelationship between content marketing and customer engagement to achieve success. This study aims to examine the impact of content marketing strategies on customer engagement in online fashion stores in Malaysia, offering retailers effective content marketing strategies to engage with customers. Using the quantitative research method, a sample of 172 respondents from Generation Z in Kuala Lumpur, Malaysia, participated in an online survey via Google Forms. The Uses and Gratifications Theory was adopted in the study to gain a comprehensive understanding of the motivations and reasons that drive individuals’ engagement on online fashion stores. Pearson Correlation analysis and Multiple Linear Regression were used to determine the relationship between the independent and dependent variables and test the hypothesis’s validity. The study discovered that content informativeness, content interactivity, and content entertainment have a significant relationship with customer engagement on fashion websites. Specifically, content informativeness has the strongest positive relationship with customer engagement on fashion retail websites in Malaysia. The study’s results provide valuable insights for fashion online retailers in optimizing their website’s content marketing strategies to better engage with customers and ultimately increase sales based on content characteristics such as informative, interactive, and entertaining content. Therefore, they could gain competitive advantages by implementing website content optimization.

Evaluating the role of city representation in modelling the urban precipitation effect of Kuala Lumpur

Urbanization of Earth's land surface is one of the most impactful human interactions on the global ecosystem. Urban land cover substantially alters the transfer of heat, moisture, momentum, and aerosols between the surface and the atmosphere. These surface modifications are the first link in a complex process sequence that causes changes in clouds and precipitation, the so-called urban precipitation effect. Most studies on this topic to date have assumed a homogeneous representation of the city landscape, disregarding the potential effect of its heterogeneity on precipitation. We investigated the impact of Kuala Lumpur's urban precipitation effect through a set of sensitivity studies performed with the Weather Research and Forecasting model, in which different representations of the urban landscape were considered. We showed that including Kuala Lumpur city in the simulations causes a localised increase in accumulated rainfall, rainy day frequency and total extreme rainfall within the boundaries of the urban area. This effect is more pronounced when the city is represented as a homogeneous, high-density landscape compared to the more realistic heterogeneous case, where spatially varying urban canopy parameters are included in the model. Therefore, accurately representing urban areas in climate models is necessary to better estimate the urban precipitation effect.

Qualified Fitness Trainers Practice Scientifically Based Judgement in Prescribing Exercise Programs

Fitness trainers are widely in demand by both commercial fitness centers and individual people. They serve members in one-to-one personal training (PT) or group training (GX) in commercial fitness centers. However, the services provided by fitness trainers have not been consistent across the industry. This service inconsistency has led to an increased doubt about professionalism in conducting safe and correct exercise for the public. No studies have evaluated how fitness trainers make decisions when they curate exercise programs for members. This research utilized a qualitative semi-structured interview method to collect datat from 16 fitness trainers in Greater Kuala Lumpur, Malaysia. Inverview data was verbatim transcribed and analyzed using a theory-driven analysis. The study investigated fitness training professional decision-making processes when they design and precribe fitness execise programming to clients. Using Cognitive Continuum Theory (CCT) as a lens to explore the decision-making processes revealed a dichotomy of decision-making processes for curating personal training and group training. Feedback mechanism in the implementation of personal training was proven to be more personalized than group training. There are four themes in decision-making processed discovered to be impreative characteristics for fitness trainers. The application of CCT allowed further understanding of the implementation of exercise programs for PT and GX training when fitness trainers modified exercise programs.

Satisfaction with Elderly in Multigenerational Family Living in Kuala Lumpur

Malaysia is a blend of multiracial ethnic societies in addition to communities where there are families who have married across races and traditions. As such, within the family living in the city of Kuala Lumpur, the different races and religions necessitate multigenerational relationships. Also, the lifestyles in a city and the rural areas are different in Malaysia. Those who live in rural areas own a house with land where their relatives are within their surroundings, giving a sense of well-being. In contrast, those living in the city would rent or buy a family-size house that is designed for only one family generation. Correspondingly, the aim of this research is to focus on the well-being of multigenerational families living in the city of Kuala Lumpur and their lifestyles in landed property or high-rise housing. The research’s objective is to identify the level of satisfaction with the facilities housing multigenerational living in Kuala Lumpur. The findings that are discussed in this research focus on the level of people's satisfaction and well-being with multigenerational living in a city where the surrounding has fewer facilities for senior citizens. A new generation living in the city needs to develop a social family who are living together, comprising parents, adults and children, whereby relationships are more intimate. This research has shown the impact of the situation of multigenerational living in Kuala Lumpur housing area where the house design is not suitable for multigenerational families living together because some people need privacy in their lives.

Effectiveness of the Integrated Dengue Education and Learning (iDEAL) module in improving the knowledge, attitude, practice, environmental cleanliness index, and dengue index among schoolchildren: A randomised controlled trial protocol.

Dengue is a mosquito-borne disease caused by four distinct, closely related dengue viruses (DENV). Global dengue incidence has markedly increased in the past decades. The World Health Organization reported that cases increased from 505,430 in 2000 to 5.2 million in 2019. Similarly, the total dengue cases in Malaysia increased from 7,103 in 2000 to a peak of 130,101 in 2019. Knowledge, attitude, and practice (KAP) remain the most effective dengue prevention and control tools. Furthermore, school-based health education is key to enhancing knowledge and raising awareness of the seriousness of dengue among schoolchildren and transferring knowledge and practice from classrooms to homes. Thus, it is necessary to plan an integrated module for the primary prevention of dengue infection, specifically among schoolchildren. The present study intends to develop, implement, and evaluate the effectiveness of a theory-based integrated dengue education and learning (iDEAL) module in improving the KAP, environmental cleanliness index, and dengue index among schoolchildren in Selangor and Kuala Lumpur. This study is a single-blinded, cluster randomised controlled trial to be conducted from 1 September 2023 to 31 August 2025. The study will involve 20 primary and 20 secondary schools in Selangor and Kuala Lumpur. The 1600 participants will be randomly allocated to intervention and control groups based on selected clusters to avoid contamination. A cluster is a comparable school that fulfils the inclusion and exclusion criteria. The intervention group will receive the iDEAL module, while the control group will receive standard education. The iDEAL module will be developed following a systematic procedure and delivered in-person by trained researchers to the participants. The outcome will be measured using validated, self-administered questionnaires at baseline (T0), immediately (T1), one month (T2), and three months (T3) post-intervention to measure the intervention module effectiveness. The data will be analysed using IBM Statistical Package for Social Science (SPSS) version 28 and descriptive and inferential statistics. Within-group changes over time will be compared using one-way repeated measure analysis of variance for continuous and normally distributed variables. Within-group analysis of categorical data will use Cochran's Q test. The main effect and interaction between and within the intervention and control groups at T0, T1, T2, and T3 will be tested using the generalised linear mixed model (GLMM). Hypothetically, the KAP, environmental cleanliness index, and dengue index among the intervention group will be significantly improved compared to the control group. The hypothesis will be tested using a significance level with a p-value of 0.05 and a confidence interval of 95%. The study protocol outlines developing and testing an iDEAL module for schoolchildren in Selangor and Kuala Lumpur, with no socio-demographic differences expected. The intervention aims to improve KAP, environmental cleanliness index, and dengue index, potentially reducing dengue risk. Results could inform public health policies, emphasizing school-based interventions' importance in combating diseases like dengue.

Peran Guru sebagai Motivator Belajar dan Menanamkan Jiwa Nasionalisme Peserta Didik Sekolah Indonesia Kuala Lumpur (SIKL)

This research aims to get an overview and examine learning motivation and instilling nationalist values in students at the Kuala Lumpur Indonesian School (SIKL). The approach used in this research is a qualitative approach with descriptive methods. In collecting data, researchers used several techniques, namely through interviews, observation and documentation studies. The data that was collected was analyzed descriptively qualitatively using the constant comparison method and the Constant Comparative Method. The research location is the Indonesian School Kuala Lumpur (SIKL) Kuala Lumpur, Malaysia. The research results show that: (1) The teacher's role is as a motivator and understands the steps that can be taken to achieve optimal learning conditions for students. (2) The role of teachers in teaching nationalist values in classroom learning. (3) The teacher's role is to foster students' love and enthusiasm for nationalist values. (4) The teacher facilitates students to preserve the Indonesian language. (5) The role of the teacher in developing students' nationalistic character and attitudes through the learning process in the classroom and outside the classroom is very important where a PPKN teacher will be able to carry out his obligations and responsibilities if the teacher has first mastered and is able to apply positive behavior to himself so that he can become a role model for his students

KL as an Islamic City Tourism Destination: The Influence of Place Involvement and Experience Quality on Place Attachment

The Muslim market presently dominates as the most lucrative and fastest-growing market segment, simultaneously holding one of the largest markets in the world. Therefore, it is necessary to have a comprehensive understanding of Muslim tourists, especially those outside the Asia-Pacific region, such as the Middle East, who have significant purchasing power. This discussion argues that the strategies that focus on creating a strong emotional connection with the country are imperative to ensure that Malaysia, particularly Kuala Lumpur, will always remain the most popular Muslim destination. This article defines the sense of place concept (place attachment) and explains the factors that influenced it. Comprehending the sense of place key elements can help measure visitor engagement with a place accurately. Based on the literature on “place involvement” in consumer behaviour and “place attachment” from environmental psychology, this article provides a conceptual framework for understanding tourist attachment relationships with places.

The nature of the relationship between service quality and customer satisfaction among mobile users: Experience from Malaysia

This paper aims to investigate the impact of service quality on customer satisfaction for mobile users in Malaysia. Specifically, this paper examined the impact of service quality dimensions (tangibility, reliability, responsiveness, assurance, empathy) on customer satisfaction in the post-COVID era. The data were collected by using a self-administered questionnaire to the sample of Kuala Lumpur and Selangor states mobile users. Overall, 117 responses were gathered and five hypotheses were tested using hierarchical regression analyses. The results are mixed. Out of five hypotheses, only two were accepted. Reliability and responsiveness were found significantly positive relation to customer satisfaction whereas tangibility, assurance, and empathy were shown otherwise. Lastly, the discussion part will deliberate on the conflicting results. The limitations and suggestions for future research are also presented.

Growing up on the Street: Barriers to Educational Services Among Street Children in Malaysia

Educational services are part of the child welfare system and part of social services that are required for street-connected children to enhance their well-being. Negative street life and homelessness influence street-connected children to access educational services. This paper discusses the barriers to educational services encountered by street-connected children in Kuala Lumpur, Malaysia. Understanding barriers to educational services is crucial to inform policymakers, child welfare providers, and the government to formulate relatable educational services for street-connected children. The researcher employed a quantitative research design to conduct the study. A total of 303 took part in this study. The influence factors of barriers to educational services were determined using multiple regression analysis. The findings revealed that undocumented issues, poverty issues, personality issues, involvement in antisocial behavior, behavior in school, and school social environment are among the barriers to educational services faced by street-connected children in Kuala Lumpur. Inputs provided in this study can be instrumental in improving the child welfare system related to educational needs and addressing the psycho-educational needs of street-connected children. Implementing and recommendations proposed in this study can make a positive impact to improve the overall well-being of street-connected children.

A Hybrid Digital Parenting Program Delivered Within the Malaysian Preschool System: Protocol for a Feasibility Study of a Small-Scale Factorial Cluster Randomized Trial.

The United Nations' Sustainable Development Goal 4, and particularly target 4.2, which seeks to ensure that, by 2030, all children have access to quality early childhood development, care, and preprimary education so that they are ready for primary education, is far from being achieved. The COVID-19 pandemic compromised progress by disrupting education, reducing access to well-being resources, and increasing family violence. Evidence from low- and middle-income countries suggests that in-person parenting interventions are effective at improving child learning and preventing family violence. However, scaling up these programs is challenging because of resource constraints. Integrating digital and human-delivered intervention components is a potential solution to these challenges. There is a need to understand the feasibility and effectiveness of such interventions in low-resource settings. This study aims to determine the feasibility and effectiveness of a digital parenting program (called Naungan Kasih in Bahasa Melayu [Protection through Love]) delivered in Malaysia, with varying combinations of 2 components included to encourage engagement. The study is framed around the following objectives: (1) to determine the recruitment, retention, and engagement rates in each intervention condition; (2) to document implementation fidelity; (3) to explore program acceptability among key stakeholders; (4) to estimate intervention costs; and (5) to provide indications of the effectiveness of the 2 components. This 10-week factorial cluster randomized trial compares ParentText, a chatbot that delivers parenting and family violence prevention content to caregivers of preschool-aged children in combination with 2 engagement components: (1) a WhatsApp support group and (2) either 1 or 2 in-person sessions. The trial aims to recruit 160 primary and 160 secondary caregivers of children aged 4-6 years from 8 schools split equally across 2 locations: Kuala Lumpur and Negeri Sembilan. The primary outcomes concern the feasibility and acceptability of the intervention and its components, including recruitment, retention, and engagement. The effectiveness outcomes include caregiver parenting practices, mental health and relationship quality, and child development. The evaluation involves mixed methods: quantitative caregiver surveys, digitally tracked engagement data of caregivers' use of the digital intervention components, direct assessments of children, and focus group discussions with caregivers and key stakeholders. Overall, 208 parents were recruited at baseline December 2023: 151 (72.6%) primary caregivers and 57 (27.4%) secondary caregivers. In January 2024, of these 208 parents, 168 (80.8%) enrolled in the program, which was completed in February. Postintervention data collection was completed in March 2024. Findings will be reported in the second half of 2024. This is the first factorial cluster randomized trial to assess the feasibility of a hybrid human-digital playful parenting program in Southeast Asia. The results will inform a large-scale optimization trial to establish the most effective, cost-effective, and scalable version of the intervention. OSF Registries; https://osf.io/f32ky. DERR1-10.2196/55491.

Time Aware Long Short-Term Memory and Kronecker Gated Intelligent Transportation for Smart Car Parking

Technology desires to improve quality of life and impart citizen’s health as well as happiness. The concept of Internet of Things (IoT) refers to smart world where prevailing objects are said to be embedded and hence interact with each other (i.e., between objects and human beings) to achieve an objective. In the period of IoT as well as smart city, there is requirement for Intelligent Transport System-based (ITS) ingenious smart parking or car parking space prediction (CPSP) for more feasible cities. With the increase in population and mushroom growth in vehicles are bringing about several distinct economic as well as environmental issues. One of pivotal ones is optimal parking space identification. To address on this problem, in this work, Time-aware Long Short-Term Memory and Kronecker product Gated Recurrent Unit (TLSTM-KGRU) for smart parking in internet of transportation things is proposed. The TLSTM-KGRU method is split into two sections. In the first section, smart parking occupancy is derived using Time-aware Long Short-Term Memory (Time-aware LSTM) for Kuala Lumpur Convention Centre car parking sensor dataset. Following which the resultant smart car occupancy results are subjected to Linear Interpolations and Kronecker product Gated Recurrent Unit for predicting smart parking. When compared against other predictive methods such as SGRU-LSTM and CPSP using DELM, our experimental outcomes denote that TLSTM-KGRU method has improved performance for smart parking occupancy forecast as it not only enhances sensitivity and specificity but also reduces prediction time with minimum delay.

Analisis Integrasi Dinamis Pasar Modal Indonesia terhadap Pasar Modal ASEAN Pasca Berlakunya Masyarakat Ekonomi ASEAN

This research intends to understand the dynamic integration of the Indonesian capital market with the ASEAN Capital Market before and after the implementation of the MEA (ASEAN Economic Community) or AEC. The sample used in this observation is a series of data collected in the period January 2011 to December 2015 before the MEA was implemented and January 2016 to December 2022 after the MEA was implemented, while the capital markets studied were the Indonesian Stock Exchange, Kuala Lumpur Stock Exchange, Stock Exchange Singapore, Philippine Stock Exchange and Thai Stock Exchange. This research analyzes the dynamic integration of the Indonesian capital market towards ASEAN after the implementation of the MEA using the Orthogonal Generalized Autoregressive Conditional Heteroscedasticity (OGARCH) method which can manifest the level of integration in a measurable way. The results of this research are that there is co-movement among the ASEAN capital markets studied, however, not all ASEAN capital markets are fully integrated. The results of this observation also found that the Indonesian Stock Exchange, Kuala Lumpur Stock Exchange, Thailand Stock Exchange and Singapore Stock Exchange were integrated but the Philippine Stock Exchange was not. The Philippine Stock Exchange tends to be segmented rather than integrated.

TikTok Trick: Improving Students’ Pronunciation of Indonesian Migrant Workers Children in Malaysia

Pronunciation is the most important thing that non-native speakers must deal with when learning a foreign language. The purpose of this research is to improve students’ English pronunciation by using TikTok media. The research method was classroom action research with tests at the end of each cycle. It was conducted in grades IV at Sanggar Bimbingan Sentul, Kuala Lumpur Malaysia, for the 2022 academic year. This classroom action research consisted of two cycles with four stages that were planning, action, observation, and reflection. The learning media used was video taken from the TikTok account @learnenglishwithcamille. The results showed that students’ English pronunciation increased after using TikTok media. This can be seen from the results of observations at cycle 1 reached 45% in the “enough” category, 55% reached the “good” category, and increased at cycle 2 to 40% students in the category “very good”, 45% in the category “good”, and 15% in the category “enough”. In conclusion, TikTok media can improve students’ English, especially in terms of English pronunciation. The implication of the study is that students enjoy learning pronunciation with TikTok media and well improved.

Carbon neutrality in Malaysia and Kuala Lumpur: insights from stakeholder-driven integrated assessment modeling

Introduction: Several cities in Malaysia have established plans to reduce their CO2 emissions, in addition to Malaysia submitting a Nationally Determined Contribution to reduce its carbon intensity (against GDP) by 45% in 2030 compared to 2005. Meeting these emissions reduction goals will require a joint effort between governments, industries, and corporations at different scales and across sectors.Methods: In collaboration with national and sub-national stakeholders, we developed and used a global integrated assessment model to explore emissions mitigation pathways in Malaysia and Kuala Lumpur. Guided by current climate action plans, we created a suite of scenarios to reflect uncertainties in policy ambition, level of adoption, and implementation for reaching carbon neutrality. Through iterative engagement with all parties, we refined the scenarios and focus of the analysis to best meet the stakeholders’ needs.Results: We found that Malaysia can reduce its carbon intensity and reach carbon neutrality by 2050, and that action in Kuala Lumpur can play a significant role. Decarbonization of the power sector paired with extensive electrification, energy efficiency improvements in buildings, transportation, and industry, and the use of advanced technologies such as hydrogen and carbon capture and storage will be major drivers to mitigate emissions, with carbon dioxide removal strategies being key to eliminate residual emissions.Discussion: Our results suggest a hopeful future for Malaysia’s ability to meet its climate goals, recognizing that there may be technological, social, and financial challenges along the way. This study highlights the participatory process in which stakeholders contributed to the development of the model and guided the analysis, as well as insights into Malaysia’s decarbonization potential and the role of multilevel governance.