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The phenomenon of Papi Abe as a family content creator who has gone viral on TikTok has generated a wide range of public responses, both positive and negative, particularly regarding father-child interactions in parenting content and the potential for child exploitation. Therefore, it is important to understand public opinions toward Papi Abe as a basis for evaluating and improving content qual…
This study aims to determine the influence of participation in Islamic Spiritual Extracurricular activities (Rohis) on the confident character of students at SMA Negeri 2 Palembang. This study uses a quantitative approach with simple linear regression analysis. The research sample amounted to 80 students who were members of the Rohis extracurricular, with saturated sampling techniques. Data col…
This research aims to analyze public sentiment toward the early leadership of President Prabowo Subianto using the IndoBERT language model. Public opinions were collected from various social media platforms, including X, YouTube and TikTok, resulting in a dataset of 78,851 texts labeled into positive and negative sentiments. The data underwent preprocessing stages such as cleaning, case folding…
Road damage is an infrastructure problem that affects road user safety and transportation efficiency. Manual road damage detection is considered inefficient due to the large amount of time, labor, and cost required, as well as its subjective nature. Therefore, this study aims to develop an automatic road damage detection system based on computer vision using deep learning methods. This research…
Healthy and diseased mango plants are difficult to distinguish at early stages due to insignificant differences in leaf color, texture, and spot patterns, which often leads to delayed identification and results in decreased mango production and fruit quality. This study develops an Android-based application to detect diseases in mango plants based on leaf images using the YOLO11 algorithm. The …
Prediction is the process of estimating future conditions using historical data as the basis for decision-making. This research develops a web-based fish catch prediction system using XGBoost algorithm based on time series with nonlinear regression method to predict fish production results submitted to the port. The data used is aggregate fish catch data from 12 fishing points during 2020– 20…