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View article: Clustering IT Incidents Using K-Means: Improving Incident Response Time in Service Management
Clustering IT Incidents Using K-Means: Improving Incident Response Time in Service Management Open
Incident management is one of the critical processes in Information Technology service management that aims to manage disruptions and minimize the impact of unexpected incidents on business services. This study applies the K-Means algorith…
View article: Balancing CICIoV2024 Dataset with RUS for Improved IoV Attack Detection
Balancing CICIoV2024 Dataset with RUS for Improved IoV Attack Detection Open
This study addresses the cybersecurity challenges within the Internet of Vehicles (IoV) by exploring the efficacy of Random Under-Sampling (RUS) in balancing the class distribution of the CICIoV2024 dataset for improved intrusion detection…
View article: Improving Attack Detection in IoV with Class Balancing and Feature Selection
Improving Attack Detection in IoV with Class Balancing and Feature Selection Open
The Internet of Vehicles (IoV) represents a specialized application of the Internet of Things (IoT), enabling vehicles to communicate with their surrounding infrastructure to enhance transportation safety and efficiency. However, IoV syste…
View article: Comparative Analysis of PCOS Classification Using Random Forest: Integration of Mutual Information, SMOTE-Tomek, and Outlier Handling
Comparative Analysis of PCOS Classification Using Random Forest: Integration of Mutual Information, SMOTE-Tomek, and Outlier Handling Open
Polycystic Ovary Syndrome (PCOS) is a hormonal disorder affecting women of reproductive age, with a global prevalence rate of 8–13%. However, approximately 70% of cases remain undiagnosed. This study aimed to develop and compare eight Rand…
View article: Pemberdayaan Pelaku UMKM Oleh-Oleh Solo Raya Melalui Pelatihan Digital Marketing
Pemberdayaan Pelaku UMKM Oleh-Oleh Solo Raya Melalui Pelatihan Digital Marketing Open
The Internet advancement in Indonesia has created significant opportunities for digital business, particularly in marketing. Digital marketing encompasses promoting products and services through online platforms, such as social media, whic…
View article: Optimizing Parcel Package Selection Using an Enhanced Multiple Knapsack Problem Approach with Greedy Dynamic Programming
Optimizing Parcel Package Selection Using an Enhanced Multiple Knapsack Problem Approach with Greedy Dynamic Programming Open
This study introduces an enhanced algorithm for solving the Multiple Knapsack Problem to optimize parcel package selection, particularly focusing on balancing value maximization with price and weight constraints. Due to Dynamic Programming…
View article: DEVELOPMENT OF TIME-SERIES-BASED MLOPS ARCHITECTURE FOR PREDICTING SALES QUANTITY IN MICRO, SMALL, AND MEDIUM ENTERPRISES (MSMES)
DEVELOPMENT OF TIME-SERIES-BASED MLOPS ARCHITECTURE FOR PREDICTING SALES QUANTITY IN MICRO, SMALL, AND MEDIUM ENTERPRISES (MSMES) Open
Micro, Small, and Medium Enterprises (MSMEs) constitute a significant portion of the economy in many developing countries, playing a vital role in employment generation and economic growth. Sales performance is a critical factor for MSMEs,…
View article: OPTIMIZING RAW MATERIAL INVENTORY MANAGEMENT OF MSME PRODUCT USING EXTREME GRADIENT BOOSTING (XGBOOST) REGRESSOR ALGORITHM: A SALES PREDICTION APPROACH
OPTIMIZING RAW MATERIAL INVENTORY MANAGEMENT OF MSME PRODUCT USING EXTREME GRADIENT BOOSTING (XGBOOST) REGRESSOR ALGORITHM: A SALES PREDICTION APPROACH Open
Micro, Small and Medium Enterprises or MSMEs have a very important role for the survival of the economic sector in Indonesia. However, as the development of MSMEs, followed by a series of problems that arise. One of them is the problem of …
View article: Demand Prediction for Food and Beverage SMEs Using SARIMAX and Weather Data
Demand Prediction for Food and Beverage SMEs Using SARIMAX and Weather Data Open
The SME sector in Indonesia comprises 99.99% of businesses, employing 96.9% of the workforce and contributing 60.5% to GDP and non-oil exports.Despite their importance, SMEs face challenges including limited financial access, product hygie…
View article: BIG DATA PIPELINE INFRASTRUCTURE DESIGN IN MSME E-COMMERCE SYSTEMS WITH A FOCUS ON DATA SOURCE PROCESSING USING ORCHESTRATION TOOLS
BIG DATA PIPELINE INFRASTRUCTURE DESIGN IN MSME E-COMMERCE SYSTEMS WITH A FOCUS ON DATA SOURCE PROCESSING USING ORCHESTRATION TOOLS Open
In the digital era, Micro, Small and Medium Enterprises (MSMEs) need to utilize data to improve their business performance, such as increasing customer targets, product development and pricing strategies. Apache Airflow is a powerful tool …
View article: Analisis Topic-Modelling Menggunakan Latent Dirichlet Allocation (LDA) Pada Ulasan Sosial Media Youtube
Analisis Topic-Modelling Menggunakan Latent Dirichlet Allocation (LDA) Pada Ulasan Sosial Media Youtube Open
This research explores the role of Micro, Small, and Medium Enterprises (MSMEs) in the Indonesian economy, focusing on sales and marketing challenges in the era of social media, especially YouTube. With millions of individuals using this p…
View article: Classification of Student Aspiration Using Naïve Bayes Classifier
Classification of Student Aspiration Using Naïve Bayes Classifier Open
Students aspiration are various demands from the student that packed in creative idea to propose changing process of a thing. Mostly, aspiration delivered in complaints and expectation. Aspiration is used for evaluating the laxity and earl…