Saiful Akbar
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View article: Examination of new clinical dental caries in school children using real intra oral photos with artificial intelligence model YOLO-V8x
Examination of new clinical dental caries in school children using real intra oral photos with artificial intelligence model YOLO-V8x Open
Background Dental caries is a common chronic condition among school children, and in Indonesia, rates have been higher than 80%. Traditional diagnostic techniques tend to be long and dependent upon the availability of healthcare profession…
View article: Generalizability of YOLOv11 Models for Mesiodens Detection in Pediatric Panoramic Radiographs
Generalizability of YOLOv11 Models for Mesiodens Detection in Pediatric Panoramic Radiographs Open
Background Mesiodens is a type of supernumerary tooth in the anterior maxilla with various prevalences. To prevent complications in the future, accurate and precise detection is needed. Objective This study aimed to evaluate and compare YO…
View article: IDCCD: evaluation of deep learning for early detection caries based on ICDAS
IDCCD: evaluation of deep learning for early detection caries based on ICDAS Open
Dental caries is a common oral disease in children, influenced by environmental, psychological, behavioral, and biological factors. The American academy of pediatric dentistry recommends screening from the time the first tooth erupts or at…
View article: Examination of new clinical dental caries in school children using real intra oral photos with artificial intelligence model YOLO-V8x
Examination of new clinical dental caries in school children using real intra oral photos with artificial intelligence model YOLO-V8x Open
Background Dental caries is one of the most common chronic diseases in school-aged children, with a prevalence above 80% in Indonesia. Traditional diagnostic practices are time-consuming and dependent on the number of healthcare profession…
View article: Conformational Flexibility in Capsids Encoded by the Caliciviridae
Conformational Flexibility in Capsids Encoded by the Caliciviridae Open
Caliciviruses are a diverse group of non-enveloped, positive-sense RNA viruses with a wide range of hosts and transmission routes. Norovirus is the most well-known member of the Caliciviridae; the acute gastroenteritis caused by human noro…
View article: Expert Profile Identification From Community Detection on Author-Publication-Keyword Graph With Keyword Extraction
Expert Profile Identification From Community Detection on Author-Publication-Keyword Graph With Keyword Extraction Open
Expert profiling aims to discover the expertise of an author. This task is useful for identifying the research groups existing within an organization as well as measuring the similarities between authors’ expertise. Thus, identifying areas…
View article: Storychart: A Character Interaction Chart for Visualizing the Activities Flow
Storychart: A Character Interaction Chart for Visualizing the Activities Flow Open
Event-predicate-based storyline extraction results in a chronologically ordered activity journal. The extraction results contain complex human activities, so the activity journal requires a visualization model to describe actor interaction…
View article: Storychart: A Character Interaction Chart for Visualizing the Activities Flow
Storychart: A Character Interaction Chart for Visualizing the Activities Flow Open
Event-predicate-based storyline extraction results in a chronologically ordered activity journal. The extraction results contain complex human activities, so the activity journal requires a visualization model to describe actor interaction…
View article: Storychart: A Character Interaction Chart for Visualizing the Activities Flow
Storychart: A Character Interaction Chart for Visualizing the Activities Flow Open
Event-predicate-based storyline extraction results in a chronologically ordered activity journal. The extraction results contain complex human activities, so the activity journal requires a visualization model to describe actor interaction…
View article: Folk Games Image Captioning using Object Attention
Folk Games Image Captioning using Object Attention Open
The result of a deep learning-based image captioning system with encoder-decoder framework relies heavily on the image feature extraction technique and the caption-based model. The accuracy of the model is heavily influenced by the propose…
View article: Energy Consumption Prediction Using Data Reduction and Ensemble Learning Techniques
Energy Consumption Prediction Using Data Reduction and Ensemble Learning Techniques Open
Building energy problems have various kinds of aspects, one of which is the difficulty of measuring energy efficiency. With current data development, energy efficiency measurements can be made by developing predictive models to estimate fu…
View article: PENGARUH SISTEM PEMBERIAN TAMBAHAN PENGHASILAN PEGAWAI (TPP) TERHADAP KEPUASAN DAN MOTIVASI KERJA APARATUR SIPIL NEGARA (ASN) DI DINAS PARIWISATA PEMUDA DAN OLAHRAGA KOTA BIMA
PENGARUH SISTEM PEMBERIAN TAMBAHAN PENGHASILAN PEGAWAI (TPP) TERHADAP KEPUASAN DAN MOTIVASI KERJA APARATUR SIPIL NEGARA (ASN) DI DINAS PARIWISATA PEMUDA DAN OLAHRAGA KOTA BIMA Open
The purpose of this study was to reveal the effect of the system of providing additional employee income (TPP) on satisfaction and work motivation of State Civil Apparatus (ASN) at the Department of Tourism, Youth and Sports, Bima City. Th…
View article: Implementation of Transfer Learning Using VGG16 on Fruit Ripeness Detection
Implementation of Transfer Learning Using VGG16 on Fruit Ripeness Detection Open
In previous studies, researchers have determined the classification of fruit ripeness using the feature descriptor using color features (RGB, GSL, HSV, and L * a * b *). However, the performance from the experimental results obtained still…
View article: Event Geoparser with Pseudo-Location Entity Identification and Numerical Argument Extraction Implementation and Evaluation in Indonesian News Domain
Event Geoparser with Pseudo-Location Entity Identification and Numerical Argument Extraction Implementation and Evaluation in Indonesian News Domain Open
Geoparser is a fundamental component of a Geographic Information Retrieval (GIR) geoparser, which performs toponym recognition, disambiguation, and geographic coordinate resolution from unstructured text domain. However, geoparsing of news…
View article: Event Geoparser with Pseudo-Location Entity Identification and Numerical Extraction in Indonesian News Corpus
Event Geoparser with Pseudo-Location Entity Identification and Numerical Extraction in Indonesian News Corpus Open
One of the most important component of a Geographic Information Retrieval (GIR) is the geoparser, which performs toponym recognition, disambiguation, and geographic coordinate resolution from unstructured text domain. However, news article…
View article: Path Smoothing With Support Vector Regression
Path Smoothing With Support Vector Regression Open
One of moving object problems is the incomplete data that acquired by Geo-tracking technology. This phenomenon can be found in aircraft ground-based tracking with data loss come near to 5 minutes. It needs path smoothing process to complet…
View article: Heuristic Based on Dynamic Weighting to Support Diagnosis with Two Minimization Focus in Alignment Incoherence Repair
Heuristic Based on Dynamic Weighting to Support Diagnosis with Two Minimization Focus in Alignment Incoherence Repair Open
Ontology alignment is a collection of correspondences or mappings between entities from two ontologies being matched.Alignment is an essential data resource that used as a reference to build interlinking on Linked Data.Since it is produced…
View article: Neural network performance based on backpropagation and LVQ as the LoRa RSS fingerprint algorithms for positioning in an open space
Neural network performance based on backpropagation and LVQ as the LoRa RSS fingerprint algorithms for positioning in an open space Open
Outdoor positioning is one of the important applications in the Internet of things (IoT). The usage of GPS is unsuitable for low-power IoT devices. Alternatively, it can use the LoRa devices. This research aims to find a better method as t…
View article: Enhancing Performance in Medical Articles Summarization with Multi-Feature Selection
Enhancing Performance in Medical Articles Summarization with Multi-Feature Selection Open
The research aimed at providing an outcome summary of extraordinary events information for public health surveillance systems based on the extraction of online medical articles. The data set used is 7,346 pieces. Characteristics possessed …
View article: Ontology to relational database transformation for web application development and maintenance
Ontology to relational database transformation for web application development and maintenance Open
Ontology is used as knowledge representation while database is used as facts recorder in a KMS (Knowledge Management System). In most applications, data are managed in a database system and updated through the application and then they are…
View article: Trajectory Pattern Mining with Multistage Spatial Partitioning
Trajectory Pattern Mining with Multistage Spatial Partitioning Open
Most trajectory pattern mining techniques assume that the data to be analyzed contain complete and evenly distributed spatial and temporal information.However in reality, collected data may contain noise, missing or incomplete information,…
View article: Automatic Image Annotation Using CMRM with Scene Information
Automatic Image Annotation Using CMRM with Scene Information Open
Searching of digital images in a disorganized image collection is a challenging problem. One step of image searching is automatic image annotation. Automatic image annotation refers to the process of automatically assigning relevant text k…
View article: Keyword and Event Extraction for Thematic Map Retrieval from Indonesian Online News Site
Keyword and Event Extraction for Thematic Map Retrieval from Indonesian Online News Site Open
Online news sites provide great deal of information that may be extracted and mined to create Geographical Information Retrieval (GIR) system that provides thematic map based on user query. The task requires extracting generic events and i…
View article: Trajectory Pattern Mining Using Sequential Pattern Mining and K-Means for Predicting Future Location
Trajectory Pattern Mining Using Sequential Pattern Mining and K-Means for Predicting Future Location Open
Sequential pattern mining is a method used to find patterns while concerning the sequence of an item set. Sequential pattern mining can be used to find trajectory patterns in moving object data. To implement it in the real life, the spatia…
View article: Table Extraction from Web Pages Using Conditional Random Fields to Extract Toponym Related Data
Table Extraction from Web Pages Using Conditional Random Fields to Extract Toponym Related Data Open
Table is one of the ways to visualize information on web pages. The abundant number of web pages that compose the World Wide Web has been the motivation of information extraction and information retrieval research, including the research f…
View article: A New Strategy of Direct Access for Speaker Identification System Based on Classification
A New Strategy of Direct Access for Speaker Identification System Based on Classification Open
In this paper, we present a new direct access strategy for speaker identification system. DAMClass is a method for direct access strategy that speeds up the identification process without decreasing the identification rate drastically. Thi…