The Seleksi Penerimaan Murid Baru (SPMB) through the Tes Kemampuan Akademik (TKA) pathway for senior high schools in Palembang is a competitive process that creates uncertainty in determining students’ admission chances. This study aims to develop a prediction model for student admission using a machine learning approach based on ensemble learning stacking. The dataset consists of 4,952 appli…
School selection at the senior high school level is an important decision amid intense competition in the student admission process and multiple influencing factors such as academic performance, domicile, and school capacity. This study aims to develop a recommendation system based on stacking ensemble learning that combines Random Forest and XGBoost as base learners, with Logistic Regression a…
The rapid development of digital technology has driven various innovations in the financial sector, one of which is cryptocurrency, which is increasingly discussed on social media and various digital platforms. On the other hand, price volatility, security issues, and evolving regulations have led to diverse public opinions regarding cryptocurrency. Therefore, this study aims to analyze public …
This study aims to compare the performance of single-phase radial flux permanent magnet generators and axial flux permanent magnet generators based on data and findings from previously published studies. The research employed a library research method with a descriptive-comparative approach. Data were collected from scientific journals, books, articles, and relevant previous studies discussing …
Medical waste is a type of waste that requires special handling because it can affect health and the environment if not properly managed. One important stage in managing medical waste is sorting it by type. However, sorting, which is still done manually, can be prone to errors in categorising waste. Therefore, a monitoring system for sorting wet, dry, and metal medical waste based on the Intern…
Medical waste generated from operating rooms has the potential to pose risks to health and the environment if not properly managed. One of the important stages in medical waste management is the waste sorting process based on its characteristics. However, the sorting process is still largely carried out manually, which risks causing sorting errors and increasing direct contact with infectious w…
The development of industrial automation has increased the need for adaptive, reliable, and real-time monitoring and control systems. At Baturaja Plant 2 of PT. Semen Baturaja (Persero) Tbk., the air blaster monitoring and control system in the Grate Cooler area still relies on locally installed Siemens WinCC SCADA on the Operator Workstation (OWS), limiting access and distribution of operation…
Brain tumor segmentation from Magnetic Resonance Imaging (MRI) is crucial for accurate diagnosis and therapy planning. CNN architectures like U-Net are considered the gold standard, but they have intrinsic limitations in processing long-range spatial context globally. This study proposes the use of a Vision Transformer architecture, specifically UNETR, and compares its performance against a bas…
This study investigates the development and kinematic motion performance of a four-wheel-drive (4WD) pesticide spraying robot integrated with an Arduino Mega 2560 microcontroller and operated via a wireless PlayStation 4 (PS4) controller under variable liquid payloads (0 to 2 liters). The research evaluates structural load distribution and robotic kinematics by analyzing the center of mass coor…
his study aims to determine the effect of tin (Sn) concentration variations of 1%, 1.5%, and 2% on the characteristics of PVDF membranes for water filtration applications. The membranes were made using the electrospinning method at a voltage of 15 kV and characterized using SEM, tensile tests, water contact angle measurements, and clean water permeability (CWP). The results showed that the addi…
The development of Internet of Things (IoT) technology has encouraged the creation of monitoring systems capable of transmitting and displaying sensor data quickly and in real-time. Web-based sensor data streaming systems have become one of the solutions to simplify the process of monitoring environmental conditions through internet networks. This research focuses on the design and development …
The rapid growth of digital wallets in Indonesia, particularly GoPay, has generated tens of thousands of user reviews containing valuable information about service satisfaction. This study aims to classify GoPay application user satisfaction into positive, neutral, and negative categories using the Fine-Tuning IndoBERT (Indonesian BERT) method. As a Transformer-based model trained specifically …
ChatGPT is an artificial intelligence technology that triggers diverse public opinions on social media, particularly on the X platform. The high volume of data and unstructured text characteristics make manual mapping of public perception difficult. Therefore, this study aims to develop an automated sentiment analysis system to classify public opinion toward ChatGPT into Negative, Neutral, and …
Hypothermia is a condition in which body temperature drops below the normal limit because the body loses heat faster than it can produce it. This condition can be influenced by low environmental temperature and humidity, which may endanger human health. This study aims to design an Internet of Things (IoT)-based body and environmental temperature monitoring system with the implementation of Mam…
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 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 …