International Journal of Engineering Science and Information Technology

This study aims to develop and evaluate a deep learning-based mobile application for the automated classification of ornamental plants, addressing challenges associated with visual similarity among species and environmental variability during image acquisition. The proposed system utilizes a Convolutional Neural Network (CNN) based on the MobileNetV2 architecture, selected for its lightweight str…

Drill pipes are critical components in oil, gas, and geothermal drilling operations, serving as conduits for circulating drilling fluids from the surface to the borehole while simultaneously transmitting mechanical loads. Due to severe operating conditions, including high pressure, cyclic loading, and corrosive environments, the integrity of welded joints in drill pipes must be ensured through ap…

This study examines the application of the Singular Value Decomposition (SVD) method as a digital image compression technique on the Yogyakarta Cosmological Axis object which is used as a digital learning medium in vocational education. The background of this study is based on the need for high-quality visual media with efficient file sizes for easy storage, transmission, and access through digit…

Musical theatre education has traditionally focused on Western techniques, limiting students' exposure to the cultural diversity inherent in the art form. Current curricula frequently lack systematic methods for incorporating non-Western traditions, resulting in an underrepresentation of practices like Chinese musical theatre. To address this limitation, this study suggests developing a culturall…

This study investigates the integration of e-learning into the curricula of Vocational High Schools, emphasising strategies, challenges, and prospective avenues for enhancing the quality of teaching and learning. E-learning plays a crucial role in enhancing vocational education within the framework of rapid digital transformation, facilitating flexibility, interactivity, and access to a variety o…

This study investigates the impact of contextual relevance and hyperparameter tuning on the performance of Transformer-based models in Question-Answer Generation (QAG). Utilising the FlanT5 model, experiments were conducted on a domain-specific dataset to assess how variations in learning rate and training epochs affect model accuracy and generalisation. Six QAG models were developed (QAG-A to QA…

This study investigates the combined use of customer review sentiment analysis and transaction history to predict customer churn on the Balimall Market e-commerce platform. The dataset includes 41,519 reviews labeled with positive and negative sentiments and 48 transaction samples labeled as churn or non-churn based on RFM method. Two deep learning models, Long Short-Term Memory (LSTM) and Tempor…

This study investigates the integration of AI in streamlining the alignment process between startups and potential collaborators and partners, particularly in the Indonesian startup ecosystem. The motivation behind this research lies in the gaps and challenges startups face in efficiently connecting with suitable partners or investors. We employed a bibliometric analysis approach. This study sour…

Universities utilize chatbots as assistants for users, especially prospective and current students, to access information and answer questions with relevant answers. This study introduces a new approach to an open-source model-based QA system using Gemma2-2b-it by combining Retrieval Augmented Generation (RAG) and Fine-tuning (FT) techniques. Previously, some studies have focused on only one appr…

Through an integrated model, this study investigates the determinants of user satisfaction, trust, engagement, and continuance intention in local government social media. While social media has become a vital tool for digital governance, its adoption in semi-urban regions often encounters institutional and behavioral challenges. To address this gap, this research develops and validates a framewor…

Cyber threats like malware, ransomware, and DDoS attacks demand fast and integrated detection systems. Traditional network monitoring tools often struggle to identify complex real-time attack patterns. This study evaluates the integration of Snort, an Intrusion Detection System (IDS), with the ELK Stack (Elasticsearch, Logstash, Kibana) to detect and visualize cyberattacks effectively. The system…

This study aims to identify challenges and opportunities for medicinal plant conservation in Indonesian forests, focusing on local communities' role, technology use, and government policies. Indonesia's forests, rich in medicinal plants, face grave threats from deforestation and land conversion for agriculture. Climate change is also exacerbating the sustainability of medicinal plants by changing…

This study examines the engineering and application of sustainable composite materials as an alternative to traditional Balinese architectural ornaments through a comparative analysis of four material types: fiberglass, precast concrete, glass fiber-reinforced cement (GRC), and artificial sandstone. The scarcity of natural materials, growing ecological pressures, and the demand for economic effic…

This research develops a boarding house eligibility classification system using the C4.5 algorithm based on service quality and available facilities. The system evaluates boarding house eligibility by considering various factors such as management services, cleanliness, security, room facilities, public facilities, internet access, comfort, and price. Each of these factors is given a specific wei…

The selection of cafés that match customer preferences is a challenge, especially in the city of Lhokseumawe, which has 30 cafés with different characteristics. This research implements the Simple Additive Weighting (SAW) algorithm to provide recommendations for the best café based on six criteria, namely price (weight 0.25), menu (0.2), order duration (0.15), service (0.2), facilities (0.15), an…

Tuberculosis (TB) is a lung infection caused by Mycobacterium tuberculosis and can be detected through chest X-ray imaging. In this study, tuberculosis disease detection was carried out using the DenseNet121 method, a deep-learning architecture proven effective in medical image classification tasks. This study used a dataset of 4,200 lung X-ray images classified as positive or negative for TB. Th…

Traditional foods play a crucial role in maintaining nutritional well-being, especially among rural homemakers responsible for household food management. This study examines the socio-cultural, economic, policy, and technological factors influencing traditional food consumption in rural Bandung. A mixed-methods approach was employed, combining quantitative surveys (n=150) and qualitative intervie…

Education plays a major role in improving the quality of human resources. To support this effort, an application is needed so that it can measure the efficiency of education performance quickly and automatically. This research uses the Data Envelopment Analysis (DEA) method. The Data Envelopment Analysis method is a method that utilizes linear programming to compare decision-making units, by comp…

Artificial Intelligence (AI) is transforming labour markets through automation, job displacement, and the creation of new employment opportunities. This study employs a descriptive and comparative research design to analyze AI's impact across various industries, using statistical trend analysis, comparative sector evaluations, and qualitative NVivo-style interview analysis. Findings indicate that…

Today's industrial activities are increasing with sophisticated technology, all applied to satisfy consumers in various services. One of the important parts of an industry is the inventory of goods. This is related to the continuity of the resulting production. In meeting the needs of consumers, a plan is needed in production so that there is no shortage of raw materials and the production proces…