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View article: Visual Content Captioning and Audio Conversion using CNN-RNN with Attention Model
Visual Content Captioning and Audio Conversion using CNN-RNN with Attention Model Open
The primary objective of this research is to develop an image captioning and audio conversion system based on Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) with the integration of an Attention Mechanism, aimed at …
View article: A Systematic Review of Retrieval-Augmented Generation for Enhancing Domain-Specific Knowledge in Large Language Models
A Systematic Review of Retrieval-Augmented Generation for Enhancing Domain-Specific Knowledge in Large Language Models Open
This literature review examines the use of Retrieval-Augmented Generation (RAG) in enhancing Large Language Models (LLM) for domain-specific knowledge. RAG integrates retrieval techniques with generative models to access external knowledge…
View article: Comparative Analysis of VGG16 and ResNet50 Model Performence in Cardiac ECG Image Classification
Comparative Analysis of VGG16 and ResNet50 Model Performence in Cardiac ECG Image Classification Open
This study systematically evaluates and compares the effectiveness of two deep learning architectures, VGG16 and ResNet50, in automating electrocardiogram (ECG) image classification for cardiac condition diagnosis. The dataset was obtained…
View article: Campus Websites' Information Quality Measurement Model and Potential Students' Interest Prediction
Campus Websites' Information Quality Measurement Model and Potential Students' Interest Prediction Open
The importance of search engine features on campus websites will affect how prospective students can be interested in determining where to study. Although the evaluation has been widely discussed and has so far produced positive results, t…
View article: Enhancing Clustering Performance through Benchmarking of Dimensionality Reduction Techniques on Educational Data
Enhancing Clustering Performance through Benchmarking of Dimensionality Reduction Techniques on Educational Data Open
This study evaluates the effectiveness of dimensionality reduction techniques in enhancing clustering performance using a tracer study dataset of 500 alumni from UMNU Kebumen, containing 58 variables. The objective was to identify the opti…
View article: Analisis Sentimen Ulasan Co-Pilot Google Play dengan SVM, Neural Network, dan Decision Tree
Analisis Sentimen Ulasan Co-Pilot Google Play dengan SVM, Neural Network, dan Decision Tree Open
Sentiment analysis is a technique used to understand user opinions through product or service reviews. The purpose of this research is to compare three classification methods, namely Support Vector Machine (SVM), Neural Network (NN), and D…
View article: Enhancing stroke prediction models: A mixing of data augmentation and transfer learning for small-scale dataset in machine learning
Enhancing stroke prediction models: A mixing of data augmentation and transfer learning for small-scale dataset in machine learning Open
Machine learning is a powerful technique for analysing datasets and making data-driven recommendations. However, in general, the performance of machine learning in recognising patterns is proportional to the size of the dataset. On the oth…
View article: Perbandingan Efficientnet, Visual Geometry Group 16, dan Residual Network 50 Untuk Klasifikasi Kendaraan Bermotor
Perbandingan Efficientnet, Visual Geometry Group 16, dan Residual Network 50 Untuk Klasifikasi Kendaraan Bermotor Open
This study compares the performance of three Convolutional Neural Network (CNN) models—EfficientNet, VGG16, and ResNet50—in motor vehicle classification tasks using the "Car vs Bike" dataset. Transfer learning was applied using pretrained …
View article: Analisis Sentimen dan Pemodelan Topik pada Ulasan Pengguna Aplikasi myIM3 Menggunakan Support Vector Machine dan Latent Dirichlet Allocation
Analisis Sentimen dan Pemodelan Topik pada Ulasan Pengguna Aplikasi myIM3 Menggunakan Support Vector Machine dan Latent Dirichlet Allocation Open
In the current digital era, mobile applications play a crucial role in enhancing user experience. This study analyzes user sentiment towards the myIM3 application and identifies key topics discussed in user reviews using Support Vector Mac…
View article: User Satisfaction Analysis Of Tourist Ticket Applications Using The Heuristic Evaluation Evaluation Method (Case Study: Pagubugan Melung Tour Manager)
User Satisfaction Analysis Of Tourist Ticket Applications Using The Heuristic Evaluation Evaluation Method (Case Study: Pagubugan Melung Tour Manager) Open
The development of digital technology has changed the way information is interacted with and managed, including in the tourism sector. Nature tourism, as an important part of Indonesia's tourism industry, has also undergone a significant t…
View article: User Satisfaction Analysis Of Tourist Ticket Applications Using The Heuristic Evaluation Evaluation Method (Case Study: Pagubugan Melung Tour Manager)
User Satisfaction Analysis Of Tourist Ticket Applications Using The Heuristic Evaluation Evaluation Method (Case Study: Pagubugan Melung Tour Manager) Open
The development of digital technology has changed the way information is interacted with and managed, including in the tourism sector. Nature tourism, as an important part of Indonesia's tourism industry, has also undergone a significant t…
View article: Sistem Pendukung Keputusan Berbasis K-Means untuk Evaluasi Keberhasilan Bisnis dan Nilai Perusahaan
Sistem Pendukung Keputusan Berbasis K-Means untuk Evaluasi Keberhasilan Bisnis dan Nilai Perusahaan Open
Business development is in line with the development of increasingly sophisticated technology. This requires every company to compete and be motivated to increase its value as an indicator of success in managing the company so that investo…
View article: Optimizing Stroke Mortality Prediction: A Comprehensive Study on Risk Factors Analysis and Hyperparameter Tuning Techniques
Optimizing Stroke Mortality Prediction: A Comprehensive Study on Risk Factors Analysis and Hyperparameter Tuning Techniques Open
Stroke is one of the major killer diseases in the world. Understanding the factors that influence the death of stroke patients is vital to improving patient care and outcomes. In this study, we used stroke patient data and machine learning…
View article: Optuna Based Hyperparameter Tuning for Improving the Performance Prediction Mortality and Hospital Length of Stay for Stroke Patients
Optuna Based Hyperparameter Tuning for Improving the Performance Prediction Mortality and Hospital Length of Stay for Stroke Patients Open
Cardiovascular disease (CVD) stands as the foremost contributor to worldwide mortality, with strokes as part of significant CVD. Research on potential mortality risks and hospitalizations for stroke patients became crucial as a basis for e…
View article: Optimizing Sustainability: A Deep Learning Approach on Data Augmentation of Indonesia Palm Oil Products Emission
Optimizing Sustainability: A Deep Learning Approach on Data Augmentation of Indonesia Palm Oil Products Emission Open
Life Cycle Assessment (LCA) is a widely used methodology for quantifying the environmental impacts of products, including the carbon footprint. However, conducting LCA studies for complex systems, such as the palm oil industry in Indonesia…
View article: Sentiment Analysis Model Development on E-Money Service Complaints
Sentiment Analysis Model Development on E-Money Service Complaints Open
Technology provides various conveniences for users in many aspects, such as in the commercial business world with the development of financial technology or fintech. In Indonesia, there are fintech services with the most users, namely OVO …
View article: Comparative Analysis of Image on Several Edge Detection Techniques
Comparative Analysis of Image on Several Edge Detection Techniques Open
Edge detection of an image is needed to obtain information related to the size and shape of an image. There are numerous methods for detecting edges, including the Prewitt, Laplace, and Kirsch operators. Each edge detection method has diff…
View article: Internet of Things (IoT) Product Design and Modeling Amikom Purwokerto Hand Sanitizer (AMPUH)
Internet of Things (IoT) Product Design and Modeling Amikom Purwokerto Hand Sanitizer (AMPUH) Open
In previous research, an automatic hand sanitizer prototype tool was made to prevent COVID-19. The product design in this research is quite complicated and too large. Then, in other studies, a prototype tool has also been made to measure b…
View article: Association Analysis in Java Ateka for Stationery Sales Promotion Using the FP-Growth Algorithm
Association Analysis in Java Ateka for Stationery Sales Promotion Using the FP-Growth Algorithm Open
Every company or organization must have the right strategy to continue business or organizational activities. If not used, product sales data at the company will only become a pile of data; of course, it is regrettable if it is not used pr…
View article: Weighted Product Method in the DSS for Employee rewards at the Cosmetics Warehouse
Weighted Product Method in the DSS for Employee rewards at the Cosmetics Warehouse Open
The Cosmetic Warehouse in this research is located in Purwokerto, a one-effort trade that provides beauty products. Cosmetic Warehouse Purwokerto had stood up since 2013 when Navissatul Darojah Gusmiati was founded with ten employees. The …
View article: Sales Forecasting Analysis Using Trend Moment Method: A Study Case of a Fast Moving Consumer Goods Company in Indonesia
Sales Forecasting Analysis Using Trend Moment Method: A Study Case of a Fast Moving Consumer Goods Company in Indonesia Open
The market of Fast-Moving Consumer Goods (FMCG) companies in Indonesia is enormous. Unilever has 400 brands in more than 190 countries, making it a global business that is as influential in the consumer product market as it is in Indonesia…
View article: Analysis of Delivery Data by Medical Staff Using The K-Means Algorithm in Sleman District
Analysis of Delivery Data by Medical Staff Using The K-Means Algorithm in Sleman District Open
The process of childbirth has many factors that result in the death of the baby and the mother during the delivery process, namely the lack of medical staff or health workers (midwife, doctor, or another paramedic). There needs to be an an…
View article: Decision Support System for Selecting KIP-K Recipients at Amikom University, Purwokerto Using the TOPSIS Method
Decision Support System for Selecting KIP-K Recipients at Amikom University, Purwokerto Using the TOPSIS Method Open
The Indonesia Smart College Card Program (KIP-K) is a tuition assistance program (scholarship) from the Government through the Ministry of Education, Culture, Research and Technology (Kemdikbudristek). In the KIP-K scholarship selection pr…
View article: Analysis of Tourism Businesses Number in the Entertainment and Recreation Sector using Predictive Apriori Algorithm
Analysis of Tourism Businesses Number in the Entertainment and Recreation Sector using Predictive Apriori Algorithm Open
Data Analysis of the Number of Tourism Businesses in the Entertainment and Recreation Sector is used as data sources for extracting information. In this study, data on the number of tourism businesses in the entertainment and recreation se…
View article: SARIMA-LSTM Combination For COVID-19 Case Modeling
SARIMA-LSTM Combination For COVID-19 Case Modeling Open
The study of SARIMA method in combination with LSTM is interesting to do. This combination method can be convincing and significant because the data collected is numerical and saved based on time. In addition, the proposed method can antic…
View article: OPEN BIG DATA FOR INDONESIAN BIODIVERSITY BASED ON AN ONLINE CROWDSOURCING PLATFORM
OPEN BIG DATA FOR INDONESIAN BIODIVERSITY BASED ON AN ONLINE CROWDSOURCING PLATFORM Open
Abstract: As a tropical country, Indonesia is rich in natural resources and Biodiversity. Indonesia consists of 34 provinces, one of which is Central Java, with 29 regencies and 6 cities, including the BARLINGMASCAKEB area (Banjarnegara, P…