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Pronunciation therapy for deaf students in coping with Arabic letter difficulties

10.11591/ijere.v13i6.27467
Rika Astari , Abdul Mukhlis , Hanif Cahyo Adikistoro , Tri Purwanti , Muhammad Irfan Faturrahman , Rudy Yuniawati , Choirul Mahfud
Pronunciation therapy for deaf students is a very important context within the sphere of the Quran learning. Previous investigations in this domain predominantly focused on media and visual approaches, neglecting the discussion of Arabic letter pronunciation therapy (phonetically). Therefore, this research aimed to elucidate various forms of pronunciation therapy designed for deaf students and the underlying factors motivating the use of the therapeutic techniques. This descriptive qualitative research relied on the primary data collected through an investigation conducted at Qotrunnada Islamic Special School (SLB) in Bantul, Yogyakarta, Indonesia. The primary data comprised the diverse methods applied in Arabic letter pronunciation therapy and the determinant factors of articulation disorders. The research subjects were limited to pure deaf students, categorized by age and the length of therapy. Each student exhibited different results of assessment and response to pronunciation therapy. Moreover, data validation was performed through interaction with the school principal as the research team. The results showed that the forms of pronunciation therapy included articulation therapy (phonetically) exercises addressing sound production, as well as interventions targeting attention and behavior for deaf students in coping with Arabic letter difficulties. This contribution would serve as a basic guide in the development of instruments for Arabic letter pronunciation therapy designed for students with special needs.
Volume: 13
Issue: 6
Page: 4212-4224
Publish at: 2024-12-01

The use of augmented reality in assessing and training children with attention deficit hyperactivity disorder

10.11591/ijai.v13.i4.pp4045-4053
Jesla Joseph , Vinay M.
Attention deficit hyperactivity disorder (ADHD) is a serious issue that must be addressed in the modern world. Treatment for ADHD is challenging because it is costly, has adverse effects, might not be successful, and is not considered an emergency. The reason that ADHD is hard to manage is because it causes people-especially children-to make impulsive decisions that hinder their ability to succeed in school, the workplace, and other areas of life. As an alternative approach, neurofeedback therapy or play therapy, which relies on real-time feedback of an individual's brainwave activity typically collected through electroencephalogram (EEG), has demonstrated promising outcomes in the treatment of mental disorders and enhancing cognitive capabilities. On the other hand, prolonged exposure to repetitive feedback might result in lower engagement since people may become disinterested in the process and find it difficult to continue participating. An extensive assessment on the use of augmented reality (AR) in the context of pediatric ADHD has been carried out, with an emphasis on the benefits of creating games specifically for kids with ADHD. By using AR technology in a group of children, the goal of this study was to investigate the basic characteristics of AR systems that aid in the identification and treatment of ADHD in children.
Volume: 13
Issue: 4
Page: 4045-4053
Publish at: 2024-12-01

Performance enhancement of high-speed free space optical transmission link for the implementation of 5G and internet of things

10.11591/ijece.v14i6.pp6373-6379
Duong Huu Ai , Van Loi Nguyen , Khanh Ty Luong , Viet Truong Le
Internet of things (IoT) with continuous development allows multiple devices to be connected to each other through the external environment. With that, free space optical (FSO) transmission links provide high data transmission rates, so that enhanced quality of services, that is very suitable for deployment for fifth generation (5G) and IoT. FSO is known as license free, cost effective and line-of-sight green communication technology, which is employed in various circumstances, such as high data rate connections between buildings within campus or city. This study performs enhancement of FSO link for reconfigurable intelligent surfaces (RISs) aided over free space with gamma-gamma distribution channels. The paper analyzes the performance of FSO links affected by misalignment fading, RISs aided, and link distance with the subcarrier quadrature amplitude modulation scheme. Several numerical outcomes obtained for average electrical end-to-end signal-to-noise ratio, misalignment fading displacement standard deviation and link distance are shown to illustrate the average channel capacity of systems.
Volume: 14
Issue: 6
Page: 6373-6379
Publish at: 2024-12-01

Impact of start-stop systems on motorcycle fuel savings in urban traffic

10.11591/ijece.v14i6.pp6258-6264
Kevin Murga-Garcia , Rodrigo Chacaltana-Silva , Ernesto Paiva-Peredo
The start/stop (S/S) system implemented in motorcycles aims primarily at fuel savings. This study was conducted to assess the effectiveness of this system in conditions of heavy traffic and traffic lights in Lima, using a virtual channel identifier (VCI) and a technical schedule. The detailed analysis covered critical aspects of the S/S system, the description of the route taken, and its segmentation to understand the number of stops and mileage. Speed limits, schedules, and measurement equipment were established, including the MICODUS-ORBD2 device and the VCI-Hero. The study included tests conducted with and without the MICODUS-ORBD2 device, recording times, distances, and fuel consumption. Data were collected with the S/S activated and deactivated, concluding the system achieves a 10.1% fuel saving. This finding provides valuable insights into understanding the system's effectiveness in actual traffic conditions and emphasizes the importance of maintaining key vehicle components to optimize S/S performance.
Volume: 14
Issue: 6
Page: 6258-6264
Publish at: 2024-12-01

Correlation of physical activity with cognition and mental health in medical students

10.11591/ijphs.v13i4.23150
Yhusi Karina Riskawati , Faresa Aulia Rastramadhani , Henny Mulyani , Ridha Saniyyah Rindradi , Muhammad Isa Mahendra , Christyaji Indradmojo , Aswaty Nur
Low physical activity increases the number of non-communicable diseases. This phenomenon occurs in medical students. This study aimed to determine the correlation between sedentary behavior and physical activity on cognition, mental health, cortisol, and brain derived neurotropic factor (BDNF). Using a cross-sectional design of observational study, eighty-six medical students were involved in this study. The subjects were interviewed to assess cognitive function and depression levels. Saliva was taken to measure cortisol and BDNF level. Bivariate analysis was performed using the Spearman test. Depression is the only variable that correlates significantly with habitual physical activity (p=0.025, r=-0.214). Sedentary behavior has a weak correlation with cognitive failure, anxiety, and depression ([p=0.046, r=0.216]; [p=0.039, r=0.223]; [p=0.011, r=0.273]). The results found that high physical activity improves mental health and cognition. This study suggested that physical activity can alleviate symptoms of depression and anxiety among medical students.
Volume: 13
Issue: 4
Page: 1617-1625
Publish at: 2024-12-01

PdM-FSA: predictive maintenance framework with fault severity awareness in Industry 4.0 using machine learning

10.11591/ijece.v14i6.pp7211-7223
Donatien Koulla Moulla , Ernest Mnkandla , Moussa Aboubakar , Abba Ari Ado Adamou , Alain Abran
Predictive maintenance contributes to Industry 4.0, as it enables a decrease in maintenance costs and downtime while aiming to increase production and return on investment. Despite the increasing utilization of machine learning techniques in predictive maintenance in industrial systems over the past few years, several challenges remain to be addressed in the implementation of ML, including the quality of the data collected, resource constraints, and equipment heterogeneity. This study proposes an adaptive framework for predictive maintenance in the context of Industry 4.0, specifically in internet of things (IoT) systems, using machine learning (ML) models. In particular, this study introduces PdM-FSA, a new framework based on an ensemble classifier that takes advantage of four widely adopted ML models in the predictive maintenance literature: random forest (RF), support vector machine (SVM), extreme gradient boosting (XGBoost), and k-nearest neighbors (KNN). The performance evaluation results showed that the PdM-FSA framework can perform well for predictive maintenance according to the severity of equipment malfunctions in a smart factory. The results of this study provide significant knowledge to researchers and practitioners on predictive maintenance in the context of Industry 4.0. and enables the optimization of processes and improves productivity.
Volume: 14
Issue: 6
Page: 7211-7223
Publish at: 2024-12-01

A review of practices and digital technology integration in reading instruction and suggestions for the Philippines

10.11591/ijere.v13i6.29856
Allan Jay Esteban , Ken Calang , Princes Mara E. Pagador
Reading literacy has been a challenge in the Philippines based on recent large-scale literacy assessment in two consecutive years. This may be a result of a mismatch between reading instruction and the interest and motivation of students as 21st century learners in improving their reading skills. However, it is early to instigate such assumption. Hence, this systematic review examines eight articles related to reading instruction research in the Philippines and seven articles on digital technology integration for reading instruction. The paper finds no research on digital technology integration for reading instruction in the Philippine context, while studies conducted in other countries show the efficiency of digital technology interventions in reading literacy development. The findings emphasize the necessity for digital technology research in the reading instruction in the country. This report recommends empirical studies, curriculum adjustments, teacher training, and community engagements on technology-enabled reading education. Based on the findings of this study and a review of related literature, the PREACT framework (Policy, Research, Empirical study, Curriculum and resource adaptation, Community engagement and access, Teacher training and development) is proposed as a potential approach to transform reading instruction in the Philippines.
Volume: 13
Issue: 6
Page: 3663-3672
Publish at: 2024-12-01

Effect of combining oketani and oxytocin massage towards breast milk production: a quasi-experimental study

10.11591/ijphs.v13i4.24609
Adinda Putri Sari Dewi , Kusumastuti Kusumastuti
Challenges in achieving exclusive breastfeeding often emerge during the initial days when complete establishment of breast milk production may not occur. In this vulnerable period, infants might receive supplementary foods or drinks, creating barriers to exclusive breastfeeding. This study seeks to integrate oketani and oxytocin massage with a suggestive approach to evaluate their impact on breast milk production among mothers. Employing a quasi-experimental design with a pre-post-test control group, the research focuses on postpartum mothers at PKU Muhammadiyah Gombong Hospital, with a sample size of 60 respondents chosen through purposive sampling. Demographic data and observation sheets were utilized to document breast milk production before and after the intervention. Data analysis involved Mann-Whitney and Wilcoxon tests. The study revealed a significant difference between pre- and post-intervention phases within the intervention group (p-value <0.005), indicating noteworthy changes following the implementation of oketani and oxytocin massages. The interventions demonstrated potential in enhancing breast softness, nipple and areola elasticity, and overall milk production, offering valuable insights into non-pharmacological approaches for supporting breastfeeding.
Volume: 13
Issue: 4
Page: 1881-1887
Publish at: 2024-12-01

Deep learning-based attention models for sarcasm detection in text

10.11591/ijece.v14i6.pp6786-6796
Ganesh Chandrasekaran , Mandalapu Kalpana Chowdary , Jyothi Chinna Babu , Ajmeera Kiran , Kotthuru Anil Kumar , Seifedine Kadry
Finding sarcastic statements has recently drawn a lot of curiosity in social media, mainly because sarcastic tweets may include favorable phrases that fill in unattractive or undesirable attributes. As the internet becomes increasingly ingrained in our daily lives, many multimedia information is being produced online. Much of the information recorded mostly on the internet is textual data. It is crucial to comprehend people's sentiments. However, sarcastic content will hinder the effectiveness of sentiment analysis systems. Correctly identifying sarcasm and correctly predicting people's motives are extremely important. Sarcasm is particularly hard to recognize, both by humans and by machines. We employ the deep bi-directional long-short memory (Bi-LSTM) and a hybrid architecture of the convolution neural network+Bi-LSTM (CNN+Bi-LSTM) with attention networks for identifying sarcastic remarks in a corpus. Using the SarcasmV2 dataset, we test the efficacy of deep learning methods BiLSTM, and CNN+BiLSTM with attention network) for the task of identifying text sarcasm. The suggested approach incorporating deep networks is consistent with various recent and advanced techniques for sarcasm detection. With attention processes, the improved CNN+Bi-LSTM model achieved an accuracy rate of 91.76%, which is a notable increase over earlier research.
Volume: 14
Issue: 6
Page: 6786-6796
Publish at: 2024-12-01

Intervention programme to improve emotional regulation among adolescent with mental disorders: a systematic review

10.11591/ijphs.v13i4.24538
Siti Kholifah , Siti Khuzaimah Ahmad Sharoni , Ah Yusuf
Adolescence is an important period for developing social and emotional habits that are important for mental well-being. This research aimed to know the effectiveness of intervention programs to improve emotional regulation in adolescents with mental disorders. Preparation using the PICO approach, determination of inclusion and exclusion criteria, and a literature review of scientific English articles published between 2016 and 2023 were conducted. Data were obtained from the SCOPUS, Science Direct, SpringerLink, ProQuest, and SAGE databases. Assessment of the title, abstract, and full text of the article with the keywords "Adolescent," "Child," "Teenager," "Emotion regulation," "Emotion exposure," "Intervention," "Mental Disorders," "Randomised Control Trial." The systematic review report was reviewed critically to ensure that all PRISMA steps and items were included. Nine articles met the inclusion criteria. The choice of programs and methods of intervention may vary depending on the specific mental disorders and individual needs of adolescents. Nursing interventions, including cognitive behavioral therapy, mindfulness-based interventions, group therapy, support groups, and school-based programs, are widely used to manage and treat mental health disorders with the aim of improving well-being and recovery. The effectiveness of intervention programs varies, and selection should consider adolescent needs, resources, and cultural contexts. Consulting mental health professionals or organizations is recommended.
Volume: 13
Issue: 4
Page: 1749-1756
Publish at: 2024-12-01

Malay phoneme-based subword news headline generator for low-resource language

10.11591/ijai.v13.i4.pp4965-4975
Yeong Tsann Phua , Kwang Hooi Yew , Mohd Fadzil Hassan , Matthew Teow Yok Wooi
The booming of technology has significantly increased the amount of news articles for readers. The headline of news plays an essential role in attracting readers. Traditionally, crafting the news headline is a manual task at the news desk. The motivation of this paper is to address the issues faced in low resource languages, such as the Malay language. The main contribution of this paper is a new hybrid model based on extractive- and abstractive-based text summarization with the integration of a geographical linguistics model; a Malay phoneme-based subword embedding has been developed to solve the complex morphological issue in the Malay language-based computational linguistic applications. The experiment involves various sequence-to sequence (seq2seq) models to generate the Malay news headlines. Besides that, the out-of-vocabulary (OOV) is assessed in the models. From the experiment, the proposed hybrid text summarization model shows significant improvement over the baseline models above 11.00 in ROUGE-1, 4.00 ROUGE-2, and 11.00 in ROUGE-L. The proposed model can reduce the OOV rate to below 15%.
Volume: 13
Issue: 4
Page: 4965-4975
Publish at: 2024-12-01

Comprehension of linear systems with two unknowns in secondary education

10.11591/ijere.v13i6.28206
Juan Carlos Martín Molina , Alexander Maz Machado , María José Madrid , María Josefa Rodríguez Baiget
Over the past few years, teachers and researchers in mathematics education have emphasized the importance of students acquiring a comprehensive understanding of mathematics. However, during the process of learning mathematics in secondary education, some students encounter difficulties with various algebraic concepts. This article presents the key aspects of a descriptive and exploratory study conducted with two groups of Spanish students in the 4th year of secondary education, using a local model to interpret and evaluate their comprehension of linear systems of two equations with two unknowns. This research offers insights into the phenomenological, epistemological, and cognitive aspects exhibited by the students. In particular, the analysis focuses on the conceptual content of the students’ productions. Consistent with similar studies, the results indicate that the students’ comprehension of this algebraic knowledge is mainly technical, rote-based and non-meaningful, although some differences exist between the two groups under consideration. Furthermore, the article discusses how these findings may impact the design and implementation of educational proposals focused on improving students’ comprehension of this knowledge.
Volume: 13
Issue: 6
Page: 3914-3922
Publish at: 2024-12-01

Reviewing coastal culture and traditions for English teaching materials

10.11591/ijere.v13i6.28597
Maya Pinkan Warouw , Elvy Like Ginting , Henry Fanny Tondo
Women’s empowerment can be encouraged via English teaching and teaching materials can be utilized to strengthen gender equality and women’s empowerment, particularly for students from coastal areas pursuing higher education at universities. This research aims to determine how English language teaching (ELT) materials in universities can be adapted and incorporated into English instruction from the perspective of female students from coast. The data for this study were acquired using a qualitative technique, which included the distribution of questionnaires and interviews with female students from coastal locations. The information gathered from the questionnaire was mostly demographic. In the meanwhile, interviews were held to collect thoughts from participants on coastal traditions and cultures that might be included into teaching materials. The findings reveal a clear correlation between individuals’ perspectives and their experiences shaped by traditions and cultural heritage of coastal regions. Female participants highlight the depth of coastal culture, it is interaction with the environment, the crucial role of women in preserving traditions, and the desire for representation in university-level English teaching materials. These insights, derived from the experiences and viewpoints of female students in a coastal setting, extend beyond their locale, offering valuable lessons for English learning approaches in diverse coastal communities
Volume: 13
Issue: 6
Page: 3787-3795
Publish at: 2024-12-01

Closing the digital divide in education: an innovative review of demand and supply side policies in four ASEAN member states

10.11591/ijere.v13i6.28011
Daniel McFarlane , Yannik Mieruch , Nang Lao Wann Si
The rapid adoption of digital technologies in education highlights the importance of closing the digital divide in education. However, research on school connectivity policy regimes to bridge the digital divide in education in the Association of Southeast Asian Nations (ASEAN) region is lacking. The authors conducted a systematic review of policies in Cambodia, Malaysia, Thailand, and the Philippines following a framework synthesis approach. Through desk research, data was identified based on a supply and demand side framework and included policy documents from relevant ministries and departments, reports by international development organizations and non-governmental organizations, and academic literature. The analysis reveals an imbalance between supply and demand-side policies and regulatory approaches with governments in the analyzed countries favoring demand side policies.
Volume: 13
Issue: 6
Page: 3827-3837
Publish at: 2024-12-01

Mathematical exploration ability and students’ habits of mind based on gender: a study in junior high school level

10.11591/ijere.v13i6.28430
Veven Veven , Bistari Bistari , Dona Fitriawan , Hamdani Hamdani , Rustam Rustam , Tarina Dashela
In learning mathematics, students tend to only be directed to get good results, without paying attention to how the exploration process of the problems given. In fact, the exploration process that students go through is different from one another and influenced by certain factors. The objective of this study is to describe the mathematical exploration ability on number pattern topic studied from the students’ habits of mind based on gender at the junior high school level. This study used mixed methods with sequential-explanatory model, and involved 27 students of grade VIII (second year). The instruments used include a test of mathematical exploration ability, habits of mind questionnaire, and an interview guidelines. The results revealed that there are differences in mathematical exploration ability between male and female students where some of the differences are caused by their habits of mind. Female students tended to be more able to explore mathematical problems than male students, because they applied more habits of mind than male students when trying to solve the problem. This also shows that habits of mind affect students’ mathematical exploration ability.
Volume: 13
Issue: 6
Page: 3673-3685
Publish at: 2024-12-01
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