Telematika

Inefficiencies in decentralized data management have become a critical issue for bootcamp companies. This study explores the implementation of an Extract, Transform, Load (ETL) process to centralize academic data at PT. Hacktivate Teknologi Indonesia (Hacktiv8) in order to enhance learning process efficiency. With the rapid growth of disorganized academic data, an integrated automation system is …

Purpose: This research aims to increase the level of usability and user experience website RSUD Dr. Tjitrowardojo Purworejo through improvements to the interface design and features website by prioritizing user needs and preferences using a User Centered Design (UCD) and testing approach usability System Usability Scale (SUS).Design/methodology/approach: The research was carried out using a quant…

Purpose: To optimize knowledge and simplify the analysis process, the clustering method is used to group emergencyevent data that occurred in the Surabaya City area. Design/methodology/approach: The clustering method usedin this research is the K-Means Clustering. Findings/result: The results of cluster 0 contain sub-districts with a highlevel of vulnerability to emergencies such as Dukuh Pakis, …

The cultivation of potatoes faces significant challenges due to leaf diseases such as late blight and early blight, which adversely affect productivity. This study aims to evaluate the YOLOv8 model in detecting potato leaf diseases, particularly under varying object distances and different light intensity conditions. The research dataset consists of primary images collected from potato farms in D…

Football is one of the most popular sports in Indonesia, especially when it comes to supporting the Indonesian National Team. The composition of the national team players is a frequently discussed topic among the public, particularly on social media platforms like YouTube. YouTube is one of the most popular social media platforms for expressing public opinions. Sentiment analysis can help identif…

Purpose: This research aims to identify and analyze cyber attacks on health devices connected via WiFi and MQTT protocols, as well as to develop an effective detection model using machine learning techniques. Design/methodology/approach: The methodology includes collecting data from open datasets, preprocessing the data, and applying several machine learning algorithms, including Random Forest, S…

Unemployment is one of the pressing issues faced by by Indonesia as a developing country. According to data from Badan Pusat Statistik (BPS), unemployment is a significant problem in West Java Province, which consistently reports an unemployment rate above the nasional average compared to other provinces in the country. Therefore, addressing this issue in West Jawa Province is critical. To tackle…

Purpose: This study aims to develop an accurate and relevant machine learning-based model for price trend prediction and product recommendation using retail sales data, in order to support operational efficiency and marketing strategies. Design/methodology/approach: The study utilizes sales data from two supermarkets spanning the years 2021– 2024. Five machine learning algorithms are compared, na…

Purpose: This research aims to develop a Decision Support System that is able to provide boarding house recommendations for students in Kendari City. This system is designed to make it easier for students to choose a boarding house that suits their criteria and preferences. Design/methodology/approach: This study uses the Weighted Product (WP) method. Boarding house data was obtained through fiel…

Objective: As the travel trend in Indonesia increases, online travel agent (OTA) services such as Traveloka are becoming increasingly popular. However, with high competition in this industry, companies need to understand customer sentiment to improve service quality. This study aims to develop an automated sentiment analysis model on Traveloka app user reviews using a deep learning approach with …