9 research outputs found
INDONESIA'S DIPLOMACY STRATEGY TO PROMOTE PALESTINIAN INDEPENDENCE IN 2019-2024
No full textThis article discussed Indonesia's diplomatic strategy in voicing Palestinian independence between 2019 and 2024. The main focus of this study is to analyzed the steps taken by the Indonesian government, both at the bilateral and multilateral levels, as well as its active role in international forums such as the United Nations and the Organization of Islamic Cooperation. This study also explored the influence of domestic and global factors on Indonesia's foreign policy, including community solidarity and Indonesia's geopolitical position. Using a qualitative approach, this study aims to provide a comprehensive picture of Indonesia's diplomatic strategy and the challenges faced in promoting Palestinian rights. The results of this study show that Indonesia's diplomacy strategy to voice Palestinian independence is first with the strategy of public diplomacy, bilateral diplomacy, and multilateral diplomacy. With these various strategies, Indonesia shows that Indonesia always supports Palestinian independence
Program Upgrading Communication Skill Melalui Pelatihan Berpidato Bagi Pelajar Taman AL-Qur’an Hulu Kelang, Malaysia
No full textCommunity Service Activities or what are called International Real Work Lectures by Darussalam Gontor University students will be held in Malaysia, precisely at the Guidance Studio which the Embassy of the Republic of Indonesia in Malaysia supervises. This activity will be carried out for 10 days starting from March 10 2024 to March 20 2024. This guidance studio was chosen as the location to apply KKN activities because it has students from Indonesia. KKN activities begin with assistance to hone the communication skills of the Guidance Studio children with speech training. Various learning methods and speech training are applied during KKN activities, including providing a pocketbook with a collection of speech texts to make the learning process easier for children. The implementation of the KKN program is carried out in appropriate stages starting from planning, implementation and evaluation after the activity program takes place. Implementing the Communication Skill Upgrading Program is structured and adapted to the needs of the Guidance Studio. It is hoped that the results of this KKN activity will improve communication skills through speech training in three languages, namely Indonesian, English and Arabic.
 
Brain-computer interface: systems and interacting devices
No full textIn the past, mind control was thought to
be a fantasy beyond human intelligence. Over the
last few decades, significant advances have been
made, such as the invention of novel devices for
enhancing information flow into computers
through multimodel devices. Brain-Computer
Interface (BCI) was initially developed to build
communication between paralyzed people and the
environment. BCI variously improves human life
in the field of medicine, entertainment, security
and etc. This paper focuses on the technologies
and principles behind the BCI. The paper also
discusses the various steps in the BCI system:
signal acquisition, preprocessing, feature
extraction, and classification. The key challenge
in BCI signal processing is the curse of
dimensionality in the feature vector. Further, the
paper focuses on the BCI communication
methods, such as invasive, semi-invasive, and
non-invasive BCI, advantages, and limitations
Service oriented architecture in enterprise integration
No full textToday in the on demand market, organizations try to achieve competitive
advantages using information technology (IT). Nowadays organizations in addition to
managing their internal operations use information technology to collaborate with their
clients and suppliers. Organizations try to use enterprise applications for these. Moreover
organizations expect technology to cooperate with their changing on demand needs. IT
faces challenges in integrating different systems into functions that can address
organizations' needs on demand and span across organizational boundaries. Service
Oriented Architecture (SOA) as architectural frame work addresses the problems in the
previous enterprise applications. This paper discusses the key challenges experienced by
enterprise applications during its development and necessities of Service Oriented
Architecture in the enterprise integration. This paper also discusses service-oriented
architecture implementation challenges in enterprise integration
Systematic review of self-regulated learning with blended learning in digital space
No full textTechnology enhancements introduce novel learning modes by replacing traditional face-to-face
learning. Blended learning (BL) has emerged as the new normal, combining face-to-face instructions and
online elements. Successful BL requires a high self-regulation capability among the learners. Technology can
enhance these Self-Regulated Learning (SRL) capabilities. This paper reviews 66 papers published in the
Scopus, IEEE Xplore, Google Scholar, and Science Direct databases between 2016 and 2024 (till March)
using the PRISMA model. As per the review, self-reported data using a questionnaire is the most used
mechanism to collect data on users and most of the studies used university undergraduates as a learner group.
Very few researchers work collaboratively, though enhancement of the collaborative work will bring better
outcomes. In general, SRL positively impacts learning outcomes in the BL context. Cognitive, metacognitive,
motivational, and resource management strategies enhance learning, and emotional engagement is enhanced
by the user interface of learning platforms. However, some strategies do not have an impact on the BL
environment. This study suggests the importance of understanding the long-term impact of SRL and how
different strategies impact the learning outcomes and their subsequent performance. Also, it is necessary to
apply the different SRL strategies to different contexts to generalize the findings
Towards stop words identification in Tamil text clustering
No full textNow-a-days, digital documents have become the
primary source of information. Therefore, natural language
processing is widely utilized in information retrieval, topic
modeling, document classification, and document clustering.
Preprocessing plays a significant role in all of these applications.
One of the critical steps in preprocessing is removing stopwords.
Many languages have defined their list of stopwords. However, a
publicly available stopwords list isn't available for the Tamil
language since it is under-resourced. This study identified 93
general and some domain-specific stopwords for sports,
entertainment, local and foreign news by analyzing more than 1.7
million Tamil documents with more than 21 million words. Also,
this study shows that removing stopwords improves the accuracy
of a Tamil document clustering system. It showed an
improvement of 2.4%, 0.95% in the F-score for TF-IDF with one
pass algorithm and FastText with the one-pass algorithm,
respectively
Prediction of forex rate using deep learning: us dollar to Sri Lankan rupees
No full text—Exchange rate forecasting is a vital problem in the
economic aspect of every country in the world. Prediction of the
foreign exchange rate is a very complex and challenging task. A
more in-depth analysis and forecasting techniques assist the traders
in good decision-making in their commercial activities. This paper
discusses forecasting of USD to LKR foreign exchange rate using
Artificial Neural Network (ANN) and Recurrent Neural Networks
(RNN). This study used two variant Recurrent Neural Networks,
Long Short Term Memory (LSTM) and Gated Recurrent Unit
(GRU). Rectified Linear Unit (ReLU) is used as an activation
function. Adam and Stochastic Gradient Descent (SGD) are used
as the optimizers in this research. The study mainly compares the
performance of ANN, LSTM, and GRU prediction rates with two
different optimizers Adam and SDG. Mean Square Error (MSE) is
used as the loss function. The study finds that GRU with Adam
optimizer performs better than other approaches in terms of R2
squared (Coefficient of determination), Root Mean Squared Error
(RMSE), Mean Absolute Error (MAE). In contrast, LSTM performs
better with SDG optimizer when compared to Adam
Big data application analysis: a review
No full textThe term "big data" describes datasets that are not only large but also have a high level of diversity
and velocity, making it challenging to manage them with conventional tools and methods. Through
enhancing decision-making and vision searching, the big data explosion is reshaping lifestyles in terms
of working and thinking. This paper conducts an analysis of recent research and studies projects in a
variety of sectors that make use of big data. This paper studies 45 previously published articles and
conducted a systematic literature review. According to the survey, many fields achieve various benefits,
mainly when they apply big data technology. Further, selected algorithms perform better with specific
domain data. This paper summarizes the different techniques used in the various domains and their
benefits. Also, the article discusses the limitations in this study and limitations in big data applications
