Amalia Zahra
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Javanese and Sundanese speech recognition using Whisper Open
Automatic speech recognition (ASR) technology is essential for advancing human-computer interaction, particularly in a linguistically diverse country like Indonesia, where approximately 700 native languages are spoken, including widely use…
Effect of Umbilical Cord Cell Isolate Administration on STRO-1 and CD 34 Expression of Dental Pulp Stem Cell Culture Open
Background: Dental Pulp Stem Cell (DPSC) is one of the ideal mesenchymal stem cells (MSCs) for the repair of damaged cells, as it has great proliferative potential and the ability to regenerate pulp-like complex dentins. However, DPSC has …
Digital Inequities, Learning Disruptions, and Grading Policies: Evaluating Academic Performance of Students in Pakistan During the COVID-19 Pandemic Open
The COVID-19 pandemic disrupted Pakistan’s education system through prolonged closures, emergency remote teaching, and altered assessment policies. This study examines the combined effects of digital access, online learning experiences, me…
Multilingual hate speech detection using deep learning Open
The rise of social media has enabled public expression but also fueled the spread of hate speech, contributing to social tensions and potential violence. Natural language processing (NLP), particularly text classification, has become essen…
Assessing Students’ Science Process Skills: Designing a Performance-Based Assessment Instrument for Saponification Lab Activities Open
This study aims to develop a performance-based assessment instrument to assess students’ Science Process Skills (SPS) for saponification laboratory activities. This research is an instrument development study, consisting of four main stage…
Analyzing the Impact of AI on Student Engagement and Interaction in Virtual Learning Environment Open
This research examines the novel impact of Artificial Intelligence (AI) on personalised learning, interaction, engagement, academic success, and overall satisfaction among students in online and distance education settings. Distinctively, …
AMSunda: A novel dataset for Sundanese information retrieval Open
Information Retrieval is crucial in many areas, including Search Engines, Information Systems, and Databases. As an indigenous language, the Sundanese corpus from West Java in Indonesia suffers from limited data availability, especially fo…
Low-resolution image quality enhancement using enhanced super-resolution convolutional network and super-resolution residual network Open
This research explores the integration of enhanced super-resolution convolutional network (ESPCN) and super-resolution residual network (SRResNet) to enhance image quality captured by low-resolution (LR) cameras and in internet of things (…
How Green Product and Promotion Affect Purchase Intention in Sports Fashion? Open
This research aims to analyze the effect of green products, price, place, and promotion on green purchase intention in the sports fashion industry in Jakarta. With increasing consumer awareness of the environment, companies in the sports f…
The Impact of Online Purchasing on Healthy Food Consumption in East Java, Indonesia Open
With the rapid growth of e-commerce, online shopping has become an integral part of consumer behavior, transforming food purchasing patterns across various regions in Indonesia. This study investigates the impact of online purchasing behav…
Enhancing detection of zero-day phishing email attacks in the Indonesian language using deep learning algorithms Open
Email phishing is a manipulative technique aimed at compromising information security and user privacy. To overcome the limitations of traditional detection methods, such as blacklists, this research proposes a phishing detection model tha…
The use of generative adversarial network as a domain adaptation method for cross-corpus speech emotion recognition Open
The research of speech emotion recognition (SER) is growing rapidly. However, SER still faces a cross-corpus SER problem which is performance degradation when a single SER model is tested in different domains. This study shows the impact o…
How does Service Characteristics and Corporate Social Responsibility Matters in Customer Retention and Bank Reputation: An Evidence from the Banks of Pakistan Open
Previously very few studies examining the connection among service quality dimensions and performance of the company in the service industry especially in Pakistan. In Pakistan's banking business, the link between consumer expectations and…
Comparison of Deep Learning and Machine Learning Model for Phishing Email Classification Open
Email is a medium in business communication that people use everyday and not only holds sensitive information but also identity for the user and organization. The uniqueness of information contained make phishing detection and remedy canno…
Speech emotion recognition with optimized multi-feature stack using deep convolutional neural networks Open
The human emotion in communication plays a significant role that can influence how the context of the message is perceived by others. Speech emotion recognition (SER) is one of a field study that is very intriguing to explore because human…
Multimodal speech emotion recognition optimization using genetic algorithm Open
Speech emotion recognition (SER) is a technology that can detect emotions in speech. Various methods have been used in developing SER, such as convolutional neural networks (CNNs), long short-term memory (LSTM), and multilayer perceptron. …
View article: Research Trends for the Interplay between Large Language Models and Knowledge Graphs
Research Trends for the Interplay between Large Language Models and Knowledge Graphs Open
This survey investigates the synergistic relationship between Large Language Models (LLMs) and Knowledge Graphs (KGs), which is crucial for advancing AI's capabilities in understanding, reasoning, and language processing. It aims to addres…
Player Churn Prediction In Free To Play Game Using Ensemble Learning Open
Player churn is a prevalent challenge in the gaming industry. Most predictions of player churn utilize private datasets that are not easily accessible to the public. This study aims to investigate the performance of Logistic Regression, Ra…
Enhancing speech emotion recognition with deep learning using multi-feature stacking and data augmentation Open
This study evaluates the effectiveness of data augmentation on 1D convolutional neural network (CNN) and transformer models for speech emotion recognition (SER) on the Ryerson audio-visual database of emotional speech and song (RAVDESS) da…
Classifying possible hate speech from text with deep learning and ensemble on embedding method Open
Hate speech can be defined as the use of language to express hatred towards another party. Twitter is one of the most widely used social media platforms in the community. In addition to submitting user-generated content, other users can pr…
Bitcoin Price Prediction Model Development Using Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) Open
Cryptocurrency is a virtual currency that can be used as a financial or economic standard, foreign currency reserve, and as a means of payment in some countries. The value that goes up and down every time is not easy to predict using logic…
XLS-R Deep Learning Model for Multilingual ASR on Low- Resource Languages: Indonesian, Javanese, and Sundanese Open
This research paper focuses on the development and evaluation of Automatic Speech Recognition (ASR) technology using the XLS-R 300m model. The study aims to improve ASR performance in converting spoken language into written text, specifica…
Musical Note Position and Duration Recognition Model in Optical Music Recognition Using Convolutional Neural Network Open
This study aims to solve Optical Music Recognition (OMR) problems using a non-End-to-End (non-E2E) approach. Therefore, separate models for Position Recognition (PR) and Duration Recognition (DR) are constructed, with both employing Convol…
Website Optimization and Analysis on XYZ Website using the Web Core Vital Method Open
XYZ website is a business website that operates in the field of e-commerce which is implemented through websites and applications, for several years the website has had a percentage of users' usage speed which has decreased quite a bit and…
Speaker Identification in Multiple Languages: Regional, Indonesian, and English with Short Utterance Open
One of the authentication models that are currently often used is based on biometrics, such as eye retina, fingerprint, and speech recognition. Moreover, textindependent speaker identification is one of the domains of speech recognition th…
The Power-Normalized Cepstral Coefficient (PNCC) for convolutional neural networks-based robust speech command recognition Open
While implementations of speech recognition grow rapidly in recent years and are slowly being integrated into our daily devices, the problem of noise robustness is still a challenging task, even with the recent advancement of deep learning…
Painted terrapin (Batagur borneoensis) characteristics and existence in mangrove ecosystems on Pusung Cium Island, Aceh Tamiang Regency Open
Painted terrapin ( Batagur borneoensis ) is one of the animals whose status is almost extinct and is included in the list of protected animals based on PP No. 7 of 1999. Based on data from the International Union for Conservation of Nature…
PREDIKSI KELULUSAN SISWA SEKOLAH MENENGAH PERTAMA MENGGUNAKAN MACHINE LEARNING Open
In recent years, there has been a number of students who graduated late at Lubuk Alung 1st State Junior Highschool. This statement is supported by graduation data from Lubuk Alung 1st Satet Junior Highschool. Therefore, it is necessary to …