Browse Items (26 total)

This study investigates global content production trends on the Netflix platform using a combination of Exploratory Data Analysis (EDA), K-means clustering, and data visualization techniques. The primary objective is to identify how…

Diabetes Mellitus (DM) is a growing global health issue, particularly in Indonesia, with excessive sugar consumption identified as a major contributing factor. However, public awareness regarding daily sugar intake remains low, partly…

Lung disease is one of the diseases witha high rate of spread and mortality, especially in developing countries. Early detection is very important to increase the chances of recovery. This study aims to classify the types of lung disease using …

This study investigates public sentiment toward the Indonesian animated film "JUMBO" using Twitter data and a
semi-supervised machine learning approach. Two thousand fifty tweets were collected and preprocessed to
remove noise, standardize text,…

The development of artificial intelligence has opened up new opportunities in various fields, including Bell Pepperimage detection. Theremaining issuesarethat the selection of the ripeness level of bell peppers manually can take a long time and…

Generation Z hikers face significant physiological challenges during outdoor activities, necessitating effective self-monitoring tools. While smartwatches offer biometric feedback, the impact of user awareness on physiological regulation remains…

This study presents the development of an Android-based Qur’anic learning application using the Sahlun method, which combines the theoretical structure of the Ummi method with the oral articulation practices of Riyadhatul Lisan.…

The selection process for recipients of the Indonesia Smart Card (KIP) fund at Nusantara PGRI University had been conducted manuallyandinefficiently. Thus, this paper focuseson developinga model thatcan effectivelyselectpotential …

This research presents the prototypeof an IoT-based automatic room temperature control system to improve energy efficiency within an office. The designed smart room system uses a NodeMCU ESP8266 microcontroller, a DHT22 sensor for …

In the era of climate-aware infrastructure planning, accurate and interpretable energy consumption forecasting is a critical need for policymakers and utility providers. Traditional forecasting models often struggle to capture non-linear and dynamic…