Mauridhi Hery Purnomo

Institut Teknologi Sepuluh Nopember | ITS · Department of Electrical Engineering

A relaxed state is essential for effective hypnotherapy, a crucial component of mental health treatments. During hypnotherapy sessions, neurologists rely on the patient’s relaxed state to introduce positive suggestions. While EEG is a widely recognized method for detecting human emotions, analyzing EEG data presents challenges due to its multi-chan...

Research in the field of human activity recognition is very interesting due to its potential for various applications such as in the field of medical rehabilitation. The need to advance its development has become increasingly necessary to enable efficient detection and response to a wide range of movements. Current recognition methods rely on calcu...

In Indonesian traditional music, specifically Gamelan , overlapping fundamental frequencies occur among different instruments due to certain tones being tuned in the same octaves. This issue is more challenging when the instruments are played simultaneously in the musical orchestras, resulting in mixed frequencies. This study utilizes Gamelan m...

Exploiting sensitive human data in human visual monitoring system violates individual’s privacy. Hence, this study utilized a Light Detection and Ranging (LiDAR)-generated three-dimensional (3D) point cloud instead of an RGB camera as it captures the human object without detailed imagery. Given their dispersed nature, processing 3D LiDAR point clou...

Object recognition in Point Cloud data from LiDAR sensors often faces challenges like noise, clutter, and ground interference, significantly affecting tasks such as segmentation, classification, and detection. To address these issues, we introduced a framework comprising a denoiser and a classifier, enhancing the robustness of LiDAR-based object re...

Traditional dances, like those of Indonesia, have complex and unique patterns requiring accurate cultural preservation and documentation classification. However, traditional dance classification methods often rely on manual analysis and subjective judgment, which leads to inconsistencies and limitations. This research explores a modified deep patte...

Pose estimation is a field of computer vision research that involves detecting, associating, and tracking data points on body parts. It is used for health monitoring, sign language understanding, human gesture control, elderly activities, sports, and humanoid robot pose estimation. The anatomy of a humanoid robot is similar to a human, which forms...

Mining involves working in hazardous environments with various risks. The most common cause of mining accidents was mechanical failure, involving the use of heavy equipment. Thus, students who learn mining geology in vocational school must increase their knowledge of heavy equipment safety before they can work with it in the actual workplace. Howev...

This paper discusses optimizing DG location and size to reduce power loss and bus voltage deviation index in a 51-bus radial distribution network. Optimization of DG placement uses the firefly algorithm, and optimization of DG size uses the differential evolution (DE) algorithm. The results showed that the optimal locations were on buses 16, 45, an...

Point cloud object classification has gained attention from many researchers since the emergence of publicdataset like ModelNet and ShapeNet, which contains full surfaceobjects. However, in practice, objects captured using LiDAR areonly partially covered in the scanned area, making such a taskburdensome. Here, we proposed a solution to overcome tho...

The inverse kinematics plays a vital role in the planning and execution of robot motions. In the design of robotic motion control for NAO robot arms, it is necessary to find the proper inverse kinematics model. Neural networks are such a data-driven modeling technique that they are so flexible for modeling the inverse kinematics. This inverse kinem...

In recent years, many studies on medical texts have attracted the attention of researchers. Medical text studies have few multi-label data targets because it is challenging to understand dependencies between labels. Therefore, this study investigates a collection of medical texts by addressing complex problems in the behavioural pattern of Doctor’s...

Inverse kinematics plays a significant role in the robotic motion control. The flexible way to formulate the inverse kinematics can be achieved by using a neural network. The drawback of the neural network-based inverse kinematics is that it has no feedback mechanism to compensate for the remaining error. To improve its performance, further develop...

High level of fault currents has become one of the most challenging issues, along with increased electrical energy consumption and power grid expansion. However, some of the previous work was limited to installing limiters on designs and installing them on small plans. Here, the optimal placement of a resistive‐type superconducting fault current li...

Accurate forecasting of dengue cases number is urgently needed as an early warning system to prevent future outbreaks. However, forecasting dengue fever cases with intermittent data characteristics are still rare. In addition, good forecasting accuracy for intermittent data is also challenging to obtain. A hybrid Empirical Mode Decomposition (EMD),...

A freehand three-dimensional (3D) ultrasound system is a method of acquiring images using a 3D ultrasound probe or conventional two-dimensional (2D) ultrasound probe to give a 3D visualization of an object inside the body. Ultrasounds are used extensively in clinical applications since they are advantageous in that they do not bring dangerous radia...

Bukalapak is one of the largest marketplaces in Indonesia. Reviews on Bukalapak are only in the form of text, images, videos, and stars without any special filters. Reading and analyzing manually makes it difficult for potential buyers. To help with this, we can extract this review by using aspect-based sentiment analysis because an entity cannot b...

The development of transportation technology is increasing every day; it impacts the number of transportation and their users. The increase positively impacts the economy's growth but also has a negative impact, such as accidents and crime on the highway. In 2018, the number of accidents in Indonesia reached 109,215 cases, with a death rate of 29,4...

Human activity classification is needed to support various fields. The health sector, for example, requires the ability to monitor the activities of patients, the elderly, or people with special needs to provide services with fast response as needed. In the traditional classification model, the steps taken to start from the input of data and then p...

High-risk maternal health condition is alarming, especially in developing countries. Intensive monitoring is mandatory to prevent such issue. However, the long-term invasive method to pregnant women harms both the baby and the mother. In this research, we proposed a cost-efficient non-invasive foetal heartbeat classification based on a phonocardiog...

p>Pengenalan entitas biomedis merupakan salah satu tahapan penting dalam ekstraksi informasi pada domain kesehatan. Untuk melakukannya, penelitian terkini banyak menggunakan model ekstraksi biomedis berbasis deep learning yang juga dikenal sebagai Biomedical NER (BioNER). Banyak penelitian menggunakan data sosial media sebagai basis data latih BioN...

The need for small-scale renewable energy generation is predicted to increase. Distributed energy production, in general, can be more profitable due to the cost of distribution and use of energy storage, especially from the microgrid. However, the utility and consumers face difficulties maintaining demand imbalance, frequent load-shedding, and a dr...

Covid-19 is still the attention of researchers in medical image analysis. Following the initial respiratory diagnosis, a CT-scan examination will be performed. Segmentation of infection within the lung area is needed as the next step after the examination. In recent years, image segmentation has been carried out with the help of Deep Learning. U-Ne...

The Covid-19 infection challenges medical staff to make rapid diagnoses of patients. In just a few days, the Covid-19 virus infection could affect the performance of the lungs. On the other hand, semantic segmentation using the Convolutional Neural Network (CNN) on Lung CT-scan images had attracted the attention of researchers for several years, ev...

High level of fault currents has become one of the most challenging issues, along with increased electrical energy consumption and power grid expansion. However, some of the previous work was limited to installing limiters on designs and installing them on small plans. In this study, the optimal placement of a resistive-type superconducting fault c...

Fault detection in the incipient stage is necessary to avoid hazardous operating conditions and reduce outage rates in transformers. Fault-detected dissolved gas analysis is widely used to detect incipient faults in oil-immersed transformers. This paper proposes fault diagnosis transformers using an artificial neural network based on classification...

This paper presents the intensely studied route to chaotic oscillation in power systems. By using a three-bus simple power system, a route was found to cause chaotic behavior in the power systems which are evaluated, illustrated, and discussed in this study. Furthermore, chaotic behavior by using recurrent neural networks (RNN) and exact models are...

Purpose: The dengue epidemic has an increasing number of sufferers and spreading areas along with increased mobility and population density. Therefore, it is necessary to control and prevent Dengue Hemorrhagic Fever (DHF) by mapping a DHF contingency plan. However, mapping a dengue contingency plan is not easy because clinical and managerial issues...

Induced Draft Fans (IDF) and Primary Air Fans (PAF) are critical equipment in steam power plants. Anomaly detection based on machine learning models is an approach that is currently being developed for optimization and increasing the effectiveness of predictive maintenance (PDM) as well as increasing the reliability of thermal power plants. The res...

When the blood flow to the arteries in brain is blocked, its known as Ischemic stroke or blockage stroke. Ischemic stroke can occur due to the formation of blood clots in other parts of the body. Plaque buildup in arteries, on the other hand, can cause blockages because if it ruptures, it can form blood clots. The b-1000 Diffusion Weighted (DW) Mag...

Currently, volatility, uncertainty, complexity, and ambiguity (VUCA) have become unavoidable problems. In addition, knowledge or information that is not managed properly can result in inappropriate decision-making processes within an organization. Business Intelligence conception is then becoming an essential view for converting unstructured data a...

The ability to identify the entrepreneurial potential of students enables higher education institutions to contribute to the economic and social development of a country. Current research trends regarding the detection of student entrepreneurial potential have the greatest challenge in the unequal ratio of datasets. This study proposes a rule-gener...

Telemonitoring of human physiological data helps detect emergency occurrences for subsequent medical diagnosis in daily living environments. One of the fatal emergencies in falling incidents. The goal of this paper is to detect significant incidents such as falls. The fall detection system is essential for human body movement investigation for medi...

Indonesia is a tropical country located on the equator. The average intensity of solar radiation in Indonesia is 4.8 kWh/m2. This makes Indonesia a country with new and ren ewable energy potential, one of which is solar panel technology. The first step that must be done in the process of installing solar panels in a place is to analyze the potentia...