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KEPENTINGAN MUZIK SEBAGAI TANDA IDENTITI BAGI MASYARAKAT LENGILO DI BA’KELALAN SARAWAK
No full textThis study aims to examine the importance of music as a marker of identity among the Lengilo
community in Ba’Kelalan, Sarawak. The research focuses on two main objectives: first, to identify
the types and functions of Lengilo traditional music; and second, to analyze the significance of
music in shaping the identity of this community based on local perceptions. A descriptive
qualitative research design was employed, utilizing semi-structured interviews involving six
informants aged between 40 and 76 years, selected based on criteria such as language proficiency,
age, cultural background, and involvement in community activities. Data were analyzed using the
Reflexive Thematic Analysis approach by Braun & Clarke (2021). For the first objective, findings
reveal that the Lengilo community possesses various forms of traditional music such as Ngarin,
Benging, Dui Duk, Dui Sak, Dui Kan, Entak Landek, and Adin, which serve functions in rituals,
weddings, harvest celebrations, entertainment, and victory commemorations. Musical instruments
such as the gong, kecapi (zither), and telingut (flute) were also identified as vital components in
their musical structure. These musical expressions are rich in symbolic meaning and historical
value. Regarding the second objective, the study shows that music plays a vital role in expressing
communal identity through the transmission of knowledge, historical narratives, collective values,
and as a medium of cultural communication. Music is also perceived as a means to introduce the
Lengilo culture to external audiences through tourism and cultural events. While there is concern
among participants about the potential disappearance of traditional music, the community's
creativity in producing new songs reflects their ability to adapt tradition within a modern context
ANALISIS SEMANTIK DALAM LIRIK LAGU K-POP: PENGGUNAAN BAHASA INGGERIS DALAM LIRIK LAGU KUMPULAN BTS DAN BLACKPINK.
No full textThis study aims to analyse the use of English in the lyrics of popular K-pop groups, BTS and
Blackpink, focusing on both denotative and connotative meanings based on Charles Fillmore’s
Frame Semantics Theory (1982). Ten songs from each group were selected based on the highest
number of views on YouTube and Spotify streams. The study employed a qualitative content
analysis approach to examine the semantic frames embedded in the lyrics. The findings reveal
that BTS frequently expresses emotions related to self-reflection, perseverance, and hope,
while Blackpink focuses on themes of female empowerment, confidence, and emotional
strength. The study highlights that English is used not only as a tool for global communication
but also as a medium to convey emotional resonance between artists and listeners. This research
contributes to the fields of linguistics, semantics, and popular culture studies by showing how
language in lyrics shapes meaning, emotion, and identity
Analisis Makna Ujaran Berimplisit dalam Filem Ibu Mertuaku Berdasarkan Teori Relevans
No full textThe meaning of implicit utterances is a complex matter to understand but very important to assess
the level of relevance of an utterance in providing understanding or otherwise. This study was
conducted to analyse the meaning of implicit utterances in the film Ibu Mertuaku based on
Relevance Theory. The main objectives of this study are to (i) identify implicit utterances in the
dialogues of the film Ibu Mertuaku, (ii) explain the meaning of implicit utterances based on the
main principles of Relevance Theory and (iii) evaluate how the use of implicit utterances reflects
Malay cultural values and social norms through contextual analysis of the dialogues in the film.
This study uses a descriptive qualitative design for collecting data through the observation of the
film Ibu Mertuaku. Subsequently, 20 data were selected from three main characters, Kassim
Selamat/Osman Jailani, Sabariah and Nyonya Mansoor. Furthermore, the Relevance Theory
introduced by Sperber and Wilson (1986) explains that implicit utterances can be interpreted based
on three main principles; utterances context, contextual effects, and processing effort. The findings
revealed that there were relevant utterances due to their implicit meanings being understood;
however, there were also implicit utterances that were less relevant
Fonologi Dialek Iban di Plassu, Roban, Sarawak
No full textThe Roban Iban dialect is one of spoken dialect in Sarawak. As known, Sarawak is the largest state
in Malaysia. So, variations of the Sarawak Iban dialect are existed. This study investigates the
phonological system of the Iban dialect spoken in Plassu, Roban (DIPR), which is a subdialect of
Iban used in the Betong division of Sarawak. The main objective of this research is to identify and
describe the vowel and consonant phonemes, the distribution of phonemes and allophones, as well
as the assimilation processes present in the dialect. A qualitative descriptive approach was employed
through interviews with four native speakers selected based on linguistic criteria. The research
instruments comprised a 208-item Swadesh wordlist and six lexical domains. The findings revealed
that DIPR possesses 10 vowels (/a/, /a’/, /e/, /e’/, /i/, /i’/, /o/, /o’/, /u/, /u’/), 19 consonants (/p/, /b/, /t/,
/d/, /k/, /g/, /ʔ/, /ʧ/, /ʤ/, /m/, /n/, /ɲ/, /ŋ/, /s/, /h/, /l/, /w/, /j/), along with specific diphthongs and
consonant clusters. Five syllable structures were identified: V, VK, KV, KVV, and KVK. The study
also identified several assimilation processes such as nasalisation, labialisation, and palatalisation,
which occur productively within the dialect. The results indicate that DIPR has a well-structured and
distinctive phonological system compared to other Iban dialects such as those spoken in Betong and
Sibu. This research contributes to the documentation of local dialects and strengthens the
understanding of phonological variation within the Iban language in Sarawa
An Education-Based System for Two-Way Translations of Sign Language
No full textThere are approximately 70 million people with hearing disability and at least over 200 sign languages exist. People with hearing disability seldom feel excluded since only few people able to communicate with them. The two-way sign language translator system is a project aimed to aid deaf and hard hearing person to communicate and helping people learning sign language. The research begins with a comparison of various algorithms used in previous studies, aiming to identify the most suitable one. The 2D CNN algorithm is selected and implemented in six steps, including data acquisition from a dataset of 28 different static sign language signs obtained from Kaggle. The data is then pre-processed, and features are extracted and selected, leveraging a pretrained weight of EfficientNetB0 for better generalization. A 2D CNN architecture is utilized for model training, comprising three layers which are 2D global average pooling layer, dropout layer, and fully connected layer with one node. Mean absolute error and the Adam optimizer are employed as the loss function and optimizer, respectively. Fine-tuning the model involves experimenting with different batch sizes and iterations, with a batch size of 32 and 100 iterations yielding the best results. The model's performance is assessed, achieving 97.3% accuracy within 12 trials through Android mobile applications. The model exhibits occasional misclassifications, primarily for certain hand orientations, such as 'I', 'N', 'E', and 'S'. The model is further tested in various scenarios, demonstrating its robustness with 96.4% accuracy in complex backgrounds and a lower accuracy of 60.7% in poor lighting conditions. Moreover, the results indicate that different body mass index (BMI) can influence the model's performance since higher BMI tend to have less joint flexibility. To enhance the system's functionality, future work could focus on continuous signing, dataset expansion, and adaptive learning. These improvements aim to broaden the system's capabilities and ensure more inclusive communication for individuals with hearing disabilities
A Cross-Sectional Survey Dataset on Infrastructure Resilience and Community Satisfaction in Coastal Reclamation Regions of Kota Kinabalu
No full textThis dataset presents cross-sectional survey data collected for a study on infrastructure resilience and community satisfaction in the coastal reclamation regions of Kota Kinabalu, Malaysia. The data were obtained from 237 respondents using a structured questionnaire designed to assess residents’ perceptions of resilient infrastructure and satisfaction with the built environment. Key constructs captured in the dataset include infrastructure networks, the ecological environment and land use, transportation systems, urban disaster reduction and building resilience, energy provision, and overall community satisfaction. Data analysis was performed using SPSS Version 26 for descriptive statistics and Partial Least Squares Structural Equation Modeling. The dataset confirms the reliability and validity of the proposed measurement model and supports empirical analysis of the relationship between infrastructure resilience and community satisfaction. It provides valuable empirical evidence to inform sustainable infrastructure planning and policy development in reclaimed urban coastal environments
How Human Resource Practices Affect Patient Satisfaction Through Paramedical Staff Behavior: A Study on Public and Private Sector Hospitals in Punjab, Pakistan
No full textEach country's healthcare system is distinct, tailored to the specific requirements of its citizens, and made possible by the resources at its disposal. Adaptability, self-awareness, and research into international healthcare models are essential components of any effective healthcare system. This is due to the growing public health concerns and rising demand from the populace. This study will investigate the challenges facing the healthcare system in Punjab. Punjab is the biggest district in Pakistan, with 110 million inhabitants. The cultures of patient care in public and private hospitals in the city of Punjab are the focus of this research. The study believes that factors such as workload, competency, training, job security, and perceived service quality impact patient care. The study will employ conveniently selected samples for this purpose.Policymakers and healthcare administrators in Pakistan can use the study's results to better understand what variables contribute to patients' positive or negative experiences with their care. In order to determine the relationship between patient satisfaction and the independent variables of workload, competency, training and development, job insecurity, and perceived service quality, we will look at the paramedical staff's behavior as an intermediary. Compassionate behavior on the part of medical professionals is associated with increased patient satisfaction, according to the research, provided that these professionals have job stability, receive positive feedback about the quality of their service, and engage in continuous professional growth
The Influence of Reward Systems on Employee Performance among Corporate Organizations in Kuching, Sarawak: Mediating Role of Job Satisfaction
No full textEmployee performance is central to organizational success, and reward systems are a key driver of motivation and productivity. This study examines the influence of extrinsic and intrinsic rewards on employee performance, with job satisfaction as a mediating variable, within corporate organizations in Kuching, Sarawak. Guided by Maslow’s Hierarchy of Needs and Herzberg’s Two-Factor Theory, the research employed a quantitative cross-sectional design. Data from 392 employees of three state-linked corporations were collected using a stratified sampling approach. Constructs were measured using validated multi-item Likert scales and analysed using SPSS and Partial Least Squares Structural Equation Modelling (PLS-SEM). Findings show both extrinsic and intrinsic rewards significantly enhance employee performance, with intrinsic rewards having a stronger direct effect. Job satisfaction mediates the relationship between extrinsic rewards and performance, but not between intrinsic rewards and performance. These results underscore the need for balanced corporate reward strategies that combine tangible incentives with intrinsic motivators to enhance long-term performance.
Keywords: Reward Systems, Extrinsic Rewards, Intrinsic Rewards, Job Satisfaction, Employee Performance, Corporate Organization
The role of digital intangible culture heritage resources in promoting students' innovative ability in higher education courses
No full textThe study is aimed at incorporating Web-AI (IESWS-LGBM) systems into the higher education curricula, specifically focusing on the development of creative thinking and innovation based on the use of digital ICH assets. The research was conducted on 52 undergraduates in the experiential learning program at the School of Ethnology and Sociology at Guangxi Minzu University. Additionally, 240 undergraduates from various branches of science, engineering, and arts were taught at a university in Southeast Asia. Specialized innovation courses focused on an AI application that provided audio for the digital assets of ICH. Although the strategy is unique to one institution, it is likely to be more beneficial and assist other colleges attempting to improve student creativity through the application of cultural elements in addition to the primary focus of the strategy. The research employed a mixed-methods design including pre-and post-tests, behavioral observation, questionnaires, interviews, and evaluations of projects. Quantitative data indicate a 26.4% increase in cognitive knowledge of ICH. Behavioral data shows that 92% of students reported increased levels of cultural motivation with 86% of the students being actively engaged. One of the most important aspects of the data is that 76% of the students in rubric-based exams evaluated the creativity criterion. The proposed model IESWS-LGBM has also demonstrated an increased accuracy (91.5%) in evaluating students’ creativity compared to previous models. These results suggest that ICH with the help of technology is quite effective at promoting critical thinking, originality, and multicultural learning among students in institutions of higher education
Enhanced removal of copper (Cu²⁺) by microalgae-bacteria consortium: Mechanistic insights, physiological responses, and artificial neural network (ANN)-based prediction
No full textCopper (Cu) is a typical heavy metal pollutant that poses serious threats to aquatic ecosystems by damaging algal physiology and inducing oxidative stress. To mitigate its
negative effects, this study explored more effective bioremediation strategies using the vgreen alga Scenedesmus quadricauda and its consortium with Bacillus subtilis, and to utilize the empirical data for predictive assessment of treatment outcomes. Physiological and biochemical analyses revealed that Cu exposure (20-80 ppm) significantly inhibited algal biomass, chlorophyll a content and photosystem II (PSII) efficiency (Fv/Fm, Y(II), a,
rETRmax) and induced oxidative damage as indicated by increased malondialdehyde (MDA) levels. The activities of antioxidant enzymes (SOD and POD) increased first and
then decreased after long-term exposure to high Cu. In contrast, co-cultivation with bacteria alleviated these effects, maintained high chlorophyll levels, PSII stability and enzyme defense, and achieved greater biomass retention at 40 to 80 ppm Cu. In the 80ppm treatment, copper removal was also improved in the consortium group (84.8%)
compared with the microalgae group (74.6%). The artificial neural network (ANN) model showed strong predictive performance (R2=0.99), accurately simulating copper removal
across processing stages. These findings provide an innovative integrated framework combining physiological metrics and machine learning to understand and optimize
microbe-based metal detoxification for sustainable aquatic ecosystem management