Aniati Murni Arymurthy

Aniati Murni Arymurthy
University of Indonesia | UI · Faculty of Computer Science

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196
Publications
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1,331
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Publications

Publications (196)
Article
The purpose of this study is to investigate the effect of using partitioning techniques on the density-cube-based spatio-temporal clustering method. This work further adapts this clustering approach to spatio-temporal data. We have compared the IMSTAGRID-the proposed algorithm to the ST-DBSCAN, AGRID+, and ST-AGRID algorithms and have found that th...
Preprint
Deforestation is one of the contributing factors to climate change. Climate change has a serious impact on human life, and it occurs due to emission of greenhouse gases, such as carbon dioxide, to the atmosphere. It is important to know the causes of deforestation for mitigation efforts, but there is a lack of data-driven research studies to predic...
Article
Full-text available
During the COVID-19 outbreak, modeling the spread of infectious diseases became a challenging research topic due to its rapid spread and high mortality rate. The main objective of a standard epidemiological model is to estimate the number of infected, suspected, and recovered from the illness by mathematical modeling. This model does not capture ho...
Conference Paper
An effective monitoring system to observe vessel activity is essential to provide accurate vessel position information regarding vessel activity and movement at all times. Triggered to support the current VMS and AIS monitoring systems, Vessels monitoring by applying object detection methods to find all objects of interest in an image has a chance...
Chapter
Tile2vec has proven to be a good representation learning model in the remote sensing field. The success of the model depends on l2-norm regularization. However, l2-norm regularization has the main drawback that affects the regularization. We propose to replace the l2-norm with regularization with predicting noise framework. We then develop an algor...
Article
span lang="EN-US">Many nonnegative matrix factorization based clusterings are employed in discovering pattern and knowledge. Considering the sparseness nature of our data set about the daily tuna fishing data, we attempted to utilize a clustering approach, which is based on non-negative matrix factorization. Adding sparseness constraint and assigni...
Conference Paper
Full-text available
Tile2vec has proven to be a good representation learning model in the remote sensing field. The success of the model depends on l2-norm regularization. However, l2-norm regularization has the main drawback that affects the regularization. We propose to replace the l2-norm with regularization with predicting noise framework. We then develop an algor...
Conference Paper
Nowadays, the Corona Virus outbreak in 2019 (COVID-19) has become a global pandemic. The public must implement health protocols to reduce the spread of COVID-19. Trends show that the number of COVID-19 is increasing over time. This study proposes and develops a smart model to detect COVID-19 Health protocol violators in vehicles. This model can det...
Article
Full-text available
The demand for beef resources in Indonesia is always increasing every year. However, Indonesia's national beef supply cannot meet those needs. The import of beef in large numbers likely to remain performed. The government has made various efforts to reduce imports and achieve self-sufficiency in beef. However, the government does not yet have a goo...
Article
Full-text available
Arguments facilitate humans to deliver their ideas. The outcome of the discussion heavily relies on the validity of the argument. If an argument is well-composed, it is more effective to grasp the core idea behind the argument. To grade the argument, machines can be utilized by decomposing into semantic label components. In natural language process...
Article
Full-text available
Large amounts of data are required for the training process with a convolutional neural network (CNN) because small datasets with low variation will cause over-fitting, and the model cannot predict new data with high accuracy. Additionally, the non-availability of histopathological medical data presents an issue because without ethical permission,...
Conference Paper
Full-text available
White blood cell can give information about someone’s health. Imbalanced amount of white blood cells indicates someone’s disease. The disease detection using white blood cell can be done by using flow cytometry, however the use of the device has many drawbacks. The drawbacks can be solved by using computer aided classification. However, another pro...
Conference Paper
Cancer is still one of the diseases with a high mortality rate in the world. Histopathological image is one image that can be used to analyze the presence of Cancer in the human body. The deep learning approach as state of the art was conducted by researchers to investigate the image of Cancer. One of the deep learning architectures is Residual Net...
Article
Full-text available
Argumentation mining is a research field which focuses on sentences in type of argumentation. Argumentative sentences are often used in daily communication and have important role in each decision or conclusion making process. The research objective is to do observation in deep learning utilization combined with attention mechanism for argument ann...
Conference Paper
Full-text available
The aquaculture method uses floating net cages are the most productive fish farming technique. We utilize deep learning for change detection and monitoring of floating net cages quantities by detecting & counting the number of floating net cages plots on the same Region of Interest (RoI) in different years using google earth satellite imagery....
Article
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Leptomeningeal metastasis is an indication of the malignancy that occurs in leukemia patients. Although it only has a 5-10% portion caused the leukemia patient to relapse, the abnormality is the basis in determining the best treatment given to them. Leptomeningeal metastasis are better detected by using Magnetic Resonance Imaging (MRI) because of t...
Article
Full-text available
This research paper aims to analyze the minimax approach used in the semivariogram fitting process that forms one stage of the kriging operation performed for interpolation. The conventional method uses the weighted least squares fit for various theoretical functions such as stable, exponential, spherical. However, several recent approaches have be...
Conference Paper
Full-text available
Cancer diagnose based on the histopathology images is still have some challenges. Convolutional Neural Network (CNN) is one of deep learning architecture that has widely used in medical image processing especially for cancer detection. The high resolution of images and complexity of CNN architecture causes cost-intensive in the training process. On...
Article
Full-text available
Cancer is one of the leading causes of death in the world. It is the main reason why research in this field becomes challenging. Not only for the pathologist but also from the view of a computer scientist. Hematoxylin and Eosin (H&E) images are the most common modalities used by the pathologist for cancer detection. The status of cancer with histop...
Book
Full-text available
Buku ini membahas salah satu strategi untuk mendukung program pemerintah program pemerintah untuk memperbaiki dan mengembangkan sumber daya manusia (SDM) atau yang saat ini dikenal dengan istilah Aparatur Sipil Negara (ASN) pemerintah yang profesional. Strategi yang diusulkan adalah penerapan manajemen pengetahuan dalam pengelolaan sumber daya manu...
Conference Paper
Full-text available
Performance of three optical flow algorithm variants has been evaluated to obtain the most optimal measurement for water surface velocity. The algorithms are Space Time Volume Velocimetry (STVV), Horn-Schunk (HS) and Lucas-Kanade (LK). The algorithms were applied to the same video of waterflow, whose direction was rotated by 0o, 90o, 180o, and 270o...
Article
Data fusion from two sources of data could develop better output since the process may minimise any inherent disadvantages of the data. Cokriging data fusion requires a semivariogram fitting process, which is an important step for weight determination in the fusion process. The traditional method of cokriging fusion usually applies a specific model...
Article
Full-text available
DEM (Digital Elevation Model) as a digital model of the earth’s surface elevation could be generated from remote sensing technology such as stereo imaging for various applications. To generate DEM from stereo imagery, interpolation or approximation process stage is required. Stochastic interpolation e.g. ordinary kriging uses semivariogram fitting...
Article
Full-text available
The prevalence of autism children has increased rapidly in the last few periods. There is no cure for autism. But the management and treatment of accompanying medical conditions can be done. One of the effects of his medical condition is a sleep disorder. But children with autism have difficulty communicating the disorders they experience. In medic...
Conference Paper
LiDAR data widely replaces 2-dimensional data for geographic data representation because of its information complexity. One of the LiDAR data processing tasks is semantic segmentation which has been developed by deep learning models. These algorithms use Euclidean distance representation to express the distance between the points, whereas LiDAR dat...
Article
Full-text available
The zoning policy of Indonesia New Student Admission System encourages schools to accept more students from their zoning location. This condition needs to be supported by a good management to ensure that the school facilities suffice the student distribution. School location-allocation optimization problem aims to obtain optimum student distributio...
Article
Full-text available
DEM as a model of earth’s surface model plays an important role in the environmental analysis. The most common recent technology in producing DEM is SAR. Even though it has advantages compared to optical approach, DEM generated from SAR still has issues regarding process setting regarding cross-correlation and spatial resolution determination. Both...
Article
Autism is a brain development disorder that affects the patient's ability to communicate and interact with others. Most people with autism get sleep disorders. But they have some difficulty to communicate, so this problem is getting worse. The alternative that can be done is to detect sleep disorders through polysomnography. One of the test purpose...
Conference Paper
The increasing amount of spatial data provides us with more useful information, either explicitly or implicitly or both. To obtain the implicit information in spatial data, this paper uses a certain technique in Data Mining especially Spatial Data Mining since spatial data is used, it is Co-location Patterns Mining. An example in the application of...
Poster
Full-text available
Cancer diagnose based on the histopathology images still have some challenges recently. The variation of images, high resolution of images, different pattern of cell on the images have potential contribute to miss-classification. Convolutional neural network has widely used in image processing with its ability to extract and classify an object. App...
Article
Full-text available
Objectives Polysomnography is essential to diagnose sleep disorders. It is used to identify a patient's sleep pattern during sleep. This pattern is obtained by a doctor or health practitioner by using a scoring process, which is time consuming. To overcome this problem, we developed a system that can automatically classify sleep stages. Methods Th...
Article
Full-text available
Change detection analysis on multi-temporal images using various methods have been developed by many researchers in the field of spatial data analysis and image processing. Change detection analysis has many benefit for real world applications such as medical image analysis, valuable material detector, satellite image analysis, disaster recovery pl...
Article
Full-text available
Batik fabric is one of the most profound cultural heritage in Indonesia. Hence, continuous research on understanding it is necessary to preserve it. Despite of being one of the most common research task, Batik’s pattern automatic classification still requires some improvement especially in regards to invariance dilemma. Convolutional neural network...
Article
Full-text available
The fast food restaurant industry, as one of the food service formats, has been growing significantly in Indonesia, and still continuing in the future. Understanding of consumer behavior, as well as its various influence factors, such as demographic and socioeconomic factors, are needed to be done to support decisions in a business perspective. The...
Article
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SIBI (Sign Language System for the Indonesian Language) is the official sign language system for the Indonesian language. This research aims to find a suitable model for performing SIBI-to-text translation on inflectional word gestures. Extant research has been able to translate the alphabet, root words, and numbers from SIBI to text. Inflectional...
Article
Full-text available
Visual object tracking is the process of continuously localizing visual object in a video sequence. We would like to investigate the problem of short-term model-free tracking which the main purpose is to track any object just based on an annotation box of object. Many factors affect the performance of the tracking algorithm. In the Visual Tracker B...
Article
Full-text available
The study examines the use of quantization to be applied to Bi-directional Long Short-Term Memory (Bi-LSTM), a combination of the two called qBi-LSTM. Quantization used comes from Deep Belief Networks (DBN). It selected DBN for its superiority as a generative model of Deep Learning in producing an optimal artificial feature. Development of qBi-LSTM...
Conference Paper
In this paper, we propose the empirical analysis of Hierarchical Attention Network (HAN) as a feature extractor that works conjointly with eXtreme Gradient Boosting (XGBoost) as the classifier to recognize insufficiently supported arguments using a publicly available dataset. Besides HAN + XGBoost, we performed experiments with several other deep l...
Article
Full-text available
DEM as a representation of the earth's surface has many functions for spatial analysis. DEM can be produced from several kinds of techniques such as satellite technology stereo optical or radar technology. Problems when using the optical stereo data is at the high point density level that is not distributed evenly. In regions with homogeneous chara...
Conference Paper
Abstract: Shoreline is a boundary area between land and sea, where there are few phenomena that unique and dynamic. This phenomenon includes abrasion erosion and sedimentation. Development of infrastructure and reclamation is human action that can alter the ecosystem as well as the order of the shoreline. Observation shoreline is a field that is ve...
Article
Full-text available
p>With the explosion of data on the internet led to the presence of the big data era, so it requires data processing in order to get the useful information. One of the challenges is the gesture recognition the video processing. Therefore, this study proposes Latent-Dynamic Conditional Neural Fields and compares with the other family members of Cond...
Article
Full-text available
Metaheuristic algorithm is a powerful optimization method, in which it can solve problems by exploring the ordinarily large solution search space of these instances, that are believed to be hard in general. However, the performances of these algorithms signicantly depend on the setting of their parameter, while is not easy to set them accurately as...
Conference Paper
Full-text available
Human gender detection from body profile is an important task for surveillance. Most surveillance cameras are placed at a distance such that it is not possible to see people's face clearly. In this paper, we report the comparison between fast-feature pyramids and deep region-based convolutional neural network (RCNN) to detect a person in surveillan...