Reduce inequality within
and among countries

Richiamo Crew OKU Student - Musi and Izzat’s First Day as Richiamo Coffee’s Crew

Izzat and Musi, both 24 and 21 years old, are individuals with disabilities (OKU) who have been hired to work at Richiamo Coffee, UiTM Shah Alam, with the guidance of Hafiz, a fellow cafe crew. This employment opportunity is profoundly meaningful to them, and they express their gratitude to their supportive fathers for helping them commute to work daily and fostering their independence. The cafe which is situated in the lobby of the Bangunan Canseleri Tuanku Syed Sirajuddin, is the third outlet of Richiamo Coffee and is currently open to the public. Through a collaboration with the OKU Unit at UiTM, this cafe aims to provide job opportunities for individuals with disabilities in the food services sector. In total, Richiamo Coffee has expanded to 70 branches nationwide so far and had earlier donated RM6,237.71 to Tabung Cakna OKU UiTM from their sales profits for two months in a row. At an event organised by Richiamo and the OKU Unit, Mr. Adam Kassim, the Director of Marketing commended the collaboration as it had mutually benefited both parties. He also recommended that the collaboration be replicated in future university-industry partnerships. Compliments are also extended to the OKU Unit for their continuous efforts in empowering the OKU community.

GRADFLEX Strengthens Communication and Soft Skills

On July 2, 2022, UiTM Sabah Branch, in collaboration with Yayasan Juwita, conducted the #gradflex program: Confident Communication for Career Success, aligning with the emphasis on soft skills and essential work skills in the 21st century, as outlined in the Graduate Employability Strategic Plan 2021-2025. The program, consisting of seminars and workshops, aimed to enhance students’ communication and soft skills, ultimately preparing them for the workforce. UiTM’s goal is to achieve 90% graduate employability, contributing to the GRU2025 aspirations and producing highly competitive graduates. The organisers expressed hope that the participants would greatly benefit from the meaningful learning experience.

Raikan Senyuman Held at UITM GESTURZ

On June 10, 2022, twenty participants from Rumah Jagaan Cahaya Kasih Bestari Subang were given a unique opportunity to explore the art of canting and colouring batik during the Raikan Senyuman programme at UiTM GESTURZ. This event marked the university’s collaboration with Ronald McDonald’s House Charities (RMHC) and was conducted in conjunction with the signing of a Memorandum of Understanding between UiTM and McDonald’s Malaysia. The event saw the participation of distinguished guests, including the Deputy Minister of Higher Education Malaysia, the Managing Director of McDonald’s Malaysia, and the UTM Vice-Chancellor. The teenagers from the orphanage were initially shy and anxious but soon relaxed as they traced patterns and explored vibrant colours, guided by friendly UiTM student volunteers. Notably, the creative works produced during the batik workshop did not go unnoticed. Dato’ Azmir Jaafar, representing McDonald’s Malaysia, pledged RM5,000 to purchase their artworks, with the proceeds benefiting the care home. The event was not limited to the participants; it invited guests and visitors to partake in the art, resulting in three beautiful, vibrant giant batik artworks that symbolise the joy of creativity and togetherness. This programme aimed to nurture creativity and interest in the arts among the orphans of Rumah Jagaan Cahaya Kasih Bestari Subang, potentially paving the way for more career opportunities for them in the future.

Machine Learning of Reverse Migration Models for Population Prediction: A Review

Human migration from rural to urban has historically been prominent in the urbanisation process which is associated with economic development that leads to city growth. However, the dwindling supply of natural resources and pressure from the pandemic has threatened economic growth and resulted in changes in human migration; urban to rural. This anecdotal evidence of reverse migration needs to be examined and predicted related to challenges and expansion of sustainable development. The prediction of human migration; related to population size and growth are important for various policies on strategy, planning and industry. Moreover, predicting population mobility can sense the law of migratory flow in advance, and take effective preventive measures, such as crowd evacuation and epidemic diseases. However, migration predictions are notorious for bearing high error, time consuming, complexity and challenging. Therefore, aligning with IR 4.0, this study adopted a significant way to minimise the prediction errors by using a machine learning approach that can predict data in an intelligent way within a broad dataset. This paper presents the investigation of the significant models of machine learning in developing reverse migration prediction. Thus, the aim of this study is to identify the machine learning models for reverse migration through systematic literature review (SLR) screening. As SLR has been recognised to present a reliable review, this paper measures both the review from Scopus and Google scholar to determine the signature algorithm for the models. The findings highlighted the decision tree, random forest and linear regression to be the proposed algorithms that pursue the development of the machine learning models for reverse migration in Malaysia.

The Role of Universiti Teknologi MARA (UiTM) in Education and Social Mobility in Malaysia

The article examines the role of Universiti Teknologi MARA (UiTM) in promoting social mobility through education. The role of higher education exhibits differences and is influenced by social origin, job mobility and class inequalities. In‐depth interviews with six intergenerational graduates of UiTM and observations of general social mobility provide insights into the way in which UiTM graduates thrive themselves in the social landscape. Results illustrated that adaptation of UiTM graduates in the light of their social origin and earlier study in UiTM supported the gross observation of a stronger chance of their betterment in the society. The potential to thrive by UiTM graduates appeared to be related to their advanced education as well as their previous level of studies that contributed to their destiny and job mobility. Little direct evidence was found to explain variations of adjusting to the society and job mobility by graduates who were from middle to upper income families. It is concluded that the significant composition of UiTM graduates has successfully reduced class inequalities among different races in Malaysia. It is recommended that future research should use different methods, such as experiments or detailed observations to gain a better viewpoint on the impact of UiTM through its academic offerings.



Impact of Cost of Living, Learning, Social Engagement and Academic Performance on Well-Being Bottom 40% of Income Earners (B40) UiTM Students

The purpose of this paper is to empirically investigate behavioural and contextual impact of cost of living, learning, social engagement and academic performance on the well-being of bottom 40% of income earners (B40) UiTM students. A quantitative method was used by utilising the correlation method to scrutinise the dissimilarities of study sample characteristics and examine which variables are connected. Structured questionnaires were distributed to gather information from respondents. The study objectives were to identify the level of wellbeing, to compare the statistically significant differences between gender and family background and also to measure the influence of cost of living, learning, social engagement and academic performance on the wellbeing of B40 UiTM students, which also contributes to the literature on B40 UiTM students.


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