I Gede Putra Kusuma Negara

Binus University | binus · Master in Computer Science

Sign language, a vital medium for communication, particularly for individuals with speechand hearing impairments, is gaining recognition for its efficacy. To evaluate the efficacy ofsign language alphabet recognition systems, three prominent image classification deeplearning models—ResNeXt101, VGG19, and ViT—were chosen due to their establishedrele...

Handwritten character recognition is a problem that has been worked on for many mainstream languages. Handwritten letter recognition has been proven to achieve promising results. Several studies using deep learning models have been conducted to achieve better accuracies. In this paper, the authors conducted two experiments on the EMNIST Letters dat...

The development of music culture has resulted in a problem called optical music recognition (OMR). OMR is a task in computer vision that explores the algorithms and models to recognize musical notation. This study proposed the stacking ensemble learning model to complete the OMR task using the common western musical notation (CWMN) musical notation...

Fine-grained object recognition aims to recognize objects with a large variety of intraclass and low variations between classes. To overcome this problem, using a simple model may hard to find more discriminative parts. Thus, we proposed a combination model of Navigator-Teacher-Scrutinizer and Spinal Networks to improve accuracy. Employing two feat...

Breaking news information about the stock market is gathered from numerous finance websites. Internet portals offer free financial information about businesses. The impact of significant financial reforms, the environment, natural disasters, and news events on the stock market is minimal. The online financial platform generates many time series dat...

Climate has always become part of an essential role in human life on earth. Climate change is a scorching topic because of various prediction efforts to predict the future of the earth's climate on human survival. As one institution that deals with climatology in detail, NOAA publishes a journal on the approach used to generate CHIRPS as a spatiote...

Pendeteksian anomali pada penelitian ini bertujuan untuk mengurangi dan mencegah terjadinya kecelakaan penerbangan dengan menganalisis data abnormal pada penerbangan pesawat menggunakan Automatic Dependent Surveillance- Broadcast (ADS-B). ADS-B adalah radar cadangan pesawat yang mengirimkan informasi sensor pesawat melalui frekuensi radio. Data ter...

The far distance of the camera while taking a picture makes the visual image look blurred. In deep learning, the blurred image eliminates the classification accuracy. The decreasing classification accuracy is caused by the loss of detailed information on High-Resolution (HR) images. The Generative Adversarial Networks (GAN) for Super-Resolution (SR...

Indoor Positioning System has been one of the most attractive research after Bluetooth Low Energy (BLE) was introduced. This technology mainly used because of the reduction of material and energy cost over time that has huge impact compared to other technologies, which are more costly. Most recent research resolve around improving the accuracy of c...

The usual problem in the learning process is the loss of learning motivation, which may be caused by the learning media and less-personalized learning materials. It leads to the need for adaptive gamification. This paper presents a novel adaptive gamification framework for the education support system. By using the developed framework from this stu...

In this research, we propose a fingerprint-based fine-tuning algorithm to increase the accuracy of indoor positioning system using Bluetooth Low Energy fingerprint. In the fine-tuning step, Delta rule is used to update the coordinates of reference points based on the wireless environment represented in the training dataset. The combination of the c...

Learning history means to learn what caused the world around us to become the way it is right now. For decades, historical events were recorded and taught to younger generations to learn from them. However, most students found that learning history is boring because they could not feel or understand the moment of those historical events. This paper...

Previous studies showed evidences that gamification can improve learners’ motivation and enjoyment. Improvement of motivation and enjoyment could be influenced by player personality. As there is a variety of personalities, gamification application developers should consider including various gameplay to adapt with each personality type. There is a...

Batik is one of the Indonesian cultural heritages that has been recognized by the global community. Indonesian batik has a vast diversity in motifs that illustrate the philosophy of life, the ancestral heritage and also reflects the origin of batik itself. Because of the manybatik motifs, problems arise in determining the type of batik itself. Ther...

In many aging countries, where the population distribution has shifted to old ages, the need for automatic monitoring devices to help an elderly person when they fall is very crucial. Smartphone is one of the best candidate devices for detecting fall because accelerometer and gyroscope sensors embedded in it respond based on human movements. People...

This study explored several methods for detecting body falls based on the data captured by the sensors (accelerometer and gyroscope) built in a smartphone carried by a person. The data for this study were collected by recording many sample units from each of the following human activity categories: stand-fall, walk-fall, stand-jump, stand-sit, stan...

Air pollution is hazardous to our health, especially carbon monoxide. It can cause diseases such as cough, runny nose, eye irritation, and even death. The main objective of this research is to create a device capable of detecting carbon monoxide pollution levels by using mobile sensors and map the results into heatmaps overlayed on Google Maps. We...

Appearance-based object recognition can be used in various applications such as human-computer interface and information retrieval. Therefore, many researchers compete with others to present their best in object recognition. Since object recognition has been studied for a long time and encompassed diverse approaches, therefore a review of the lates...

Sign Language is the only method used in communication between the hearing-impaired community and common community. Sign Language Recognition (SLR) system, which is required to recognize sign languages, has been widely studied for years. The studies are based on various input sensors, gesture segmentation, extraction of features and classification...

This paper examines how human emotion, which is often expressed by face expression, could be recognized using computer vision. The study is performed by analyzing journals and researches related to this topic, ranging from psychological to technological journals. A number of algorithms and techniques have been reviewed, and at the end of this paper...

Face recognition is a widely utilized biometric method due to its natural and non-intrusive approach. Recently, deep learning networks using Triplet Loss have become a common framework for person identification and verification. In this paper, we present a new method on how to select appropriate hard-negatives for training using Triplet Loss. We sh...

The results of observations showed that the book about Tais produced by Secretariat de Estado da Arte e Cultura (SEAC) has not been able to meet the needs of users because the information is less interesting and interactive. This paper’s aim is to introduce the more interesting and interactive way to introduce Tais. Utilization of Augmented Reality...

Gamification nowadays is being one of techniques that can increase motivation and encourage the involvement of users, particularly in education domain that requires teaching and learning activities to be more fun and interesting. This paper surveys some analysis of gamification models. MDA framework is used to identify surveyed papers by breaking t...

Sign Language Recognition is a breakthrough for helping deaf-mute people and has been researched for many years. Unfortunately, every research has its own limitations and are still unable to be used commercially. Some of the researches have known to be successful for recognizing sign language, but require an expensive cost to be commercialized. Now...

Classification of Land Use/Land Cover (LULC) data is a typical task in remote-sensing domain. However, because the classes distribution in LULC data is naturally imbalance, it is difficult to do the classification. In this paper, we employ Variational Semi-Supervised Learning (VSSL) to solve imbalance problem in LULC of Jakarta City. This VSSL expl...

One kind of games based on its playing media is video game, which defined as a game that use any kind of computers as media. In terms of purpose, game has two types, which is serious game and non-serious game. As learning media, serious games need to have ability to motivate its player in order to play the game until the end so the player can finis...

Sleep quality is an important factor for human physical and mental health, day-time performance, and safety. Sufficient sleep quality can reduce risk of chronic disease and mental depression. Sleep helps brain to work properly that can improve productivity and prevent accident because of falling asleep. In order to analyze the sleep quality, reliab...

The field of remote sensing has drawn a lot of attention recently. However, doing research in this field is not easy. One of the reason is the scarcity of available ground truth data for the remotely sensed image. This scarcity comes from the fact that obtaining ground truth data is difficult. In order to overcome this problem, this paper presents...

We proposed in this paper a novel weighted longest increasing subsequence to improve the performance of the appearance-based object recognition. The LIS is employed to find the true keypoint matches that have consistent geometric order in both query and gallery images. Then, the similarity between query and gallery images is measured by the sum of...