Emin Guney, Bahadir Besir Kestane, Cuneyt Bayilmis Abstract The widespread use of waste in daily life has led to severe problems related to waste management. One of the systems that offers a significant solution to these problems is the Reverse Vending Machine. Deep learning has recently attracted interest as an alternative computational method to solve […]
Olakunle Elijah Olabode Abstract The proliferation of non-linear loads at the distribution network calls for the need to strengthen its capability to constantly ensure adequate reactive power flow on the feeder. Otherwise, the network stands the risk of the threat of poor voltage and severe active power loss. It is on this premises that this […]
Pascal Alfadian Nugroho Abstract Websites using unsupported technologies are generally not recommended, especially due to security issues that are left unfixed. However, upgrading to supported technologies is also challenging, hence not all web maintainers upgrade their technology dependencies. Measuring the existence of unsupported technologies in the wild may contribute to the sense of urgency on […]
Muhsin Muhsin Abstract Mobile robot communications are essential for robot teamwork. To enable communication between robots, reliable wireless communications must be deployed. Higher performance and capacity of communication are required. Multiple-input multiple-output (MIMO) and beamforming are important wireless communication technologies that use multiple antennas to improve communications performance and capacity. However, these two technologies have […]
Jasmir Jasmir, Nurhadi Nurhadi, Eni Rohaini, M Riza Pahlevi B, Daniel Sintong Pardamean Simanjuntak Abstract In this research we use several machine learning methods and word embedding features to process social media data, namely comments on the Disney Plus Hotstar application. The word embedding features used are word2vec, GloVe and FastText which are used to […]
Fatimatuzzahra Fatimatuzzahra, Lindawati Lindawati, Sopian Soim Abstract Advancements in information and computer technology, particularly in machine learning, have significantly alleviated human tasks. One of the current primary focuses is facial expression recognition using deep learning methods such as Convolutional Neural Network (CNN). Complex models like CNNs often encounter issues such as gradient vanishing and overfitting. […]
Winarsi J. Bidul, Sugiyarto Surono, Tri Basuki Kurniawan Abstract The purpose of this study is to compare the effectiveness of a variety of feature selection techniques to enhance the performance of Support Vector Machine (SVM) models for classifying heart disease data, particularly in the context of big data. The main challenge lies in managing large […]
Muhammad Rizky Ananda, Mohammad Reza Faisal, Rudy Herteno, Radityo Adi Nugroho, Friska Abadi Abstract In the realm of modern healthcare, continuous monitoring can leverage the affordable wearable devices available on the market to manage costs. However, these devices face several limitations, such as restricted access for other parties, including nurses and doctors, and the need […]
Zulfa Fahrunnisa, Rahmadwati Rahmadwati, Raden Arief Setyawan Abstract Intersections often become the focal points of congestion due to poor traffic signal management, reduced productivity, increased travel duration, gas emissions, and fuel consumption. Existing traffic light systems maintained constant signal duration regardless of traffic situations, resulting in green signals for lanes with no vehicle queues that […]
Johanes Dian Kurniawan, Suryasatriya Trihandaru, Hanna Arini Parhusip Abstract This study introduces the AIOT-Particle, a compact device designed for comprehensive air quality and environmental monitoring in Tegalrejo, Salatiga, Indonesia. Addressing the need for real-time, multi-parameter environmental data, the device simultaneously tracks PM1.0, PM2.5, temperature, humidity, pressure, and altitude, utilizing a built-in data fusion algorithm to […]