Siti Nurmaini
Sriwijaya University
Deep learningEngineeringControl engineeringPosition (vector)Artificial intelligenceSwarm roboticsPattern recognitionSwarm behaviourMobile robotMobile robot navigationComputer visionComputer scienceArtificial neural networkFeature extractionFuzzy logicControl theoryMedicineReal-time computingControl theoryParticle swarm optimizationSegmentationRobot
168Publications
12H-index
359Citations
Publications 184
Newest
#2Siti Nurmaini (Sriwijaya University)H-Index: 12
Last. Bhakti Yudho Suprapto (Sriwijaya University)H-Index: 4
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The growth of the Internet of Things (IoT) presents challenges in the field of security. The Intrusion Detection System is an alternative to protecting the internet of things. In this study, we propose an intrusion detection system model that combines unsupervised algorithm and a deep neural network. Autoencoder as unsupervised learning algorithm has a function as a feature extractor that speeds up the learning process on a deep neural network. The performance of a deep learning model depends he...
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Abstract The most prevalent arrhythmia observed in clinical practice is atrial fibrillation (AF). AF is associated with an irregular heartbeat pattern and a lack of a distinct P-waves signal. A low-cost method for identifying this condition is the use of a single-lead electrocardiogram (ECG) as the gold standard for AF diagnosis, after annotation by experts. However, manual interpretation of these signals may be subjective and susceptible to inter-observer variabilities because many non-AF rhyth...
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#1Dodo Zaenal Abidin (Sriwijaya University)H-Index: 2
#2Siti Nurmaini (Sriwijaya University)H-Index: 12
Last. Yovi PratamaH-Index: 3
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In this study, we prepared unstructured raw RSSI (Received Signal Strength Indication) data to prepare it for use in machine learning predictive modeling. RSSI data preparation is very important in predictive modeling machine learning projects, such as classification and regression, so that the algorithm can model it based on the right conditions, because the data has a more specific part but does not necessarily affect the algorithm performance. RSSI data were collected from the Dinamika Bangsa...
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#1Siti NurmainiH-Index: 12
Last. Rossi PassarellaH-Index: 5
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Accurate screening for septal defects is important for supporting radiologists’ interpretative work. Some previous studies have proposed semantic segmentation and object detection approaches to carry out fetal heart detection; unfortunately, the models could not segment different objects of the same class. The semantic segmentation method segregates regions that only contain objects from the same class. In contrast, the fetal heart may contain multiple objects, such as the atria, ventricles, val...
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Last. Siti NurmainiH-Index: 12
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Buying and selling transaction activities in minimarkets or shop owners must understand what consumers want in providing shopping comfort, especially the ease in selecting goods that are adjusted to the layout or placement of goods. The application of the data mining concept can help business owners or business people plan and make predictions of goods from sales patterns, applying association rules to transaction data will make it easier for owners to manage sales information and search for ite...
#1Ardy HidayatH-Index: 1
Last. Siti NurmainiH-Index: 12
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The queuing system service at the hospital has a problem that the service queue is longer than the health service itself. Based on the problem, we need a model that is able to provide a queuing services that are right on the target. In this paper, 10 criteria are used to determine the priority of the queue, namely: Risk Factors for Disease, Cost of Care, Medical Personnel, Medical Equipment, Waiting Time, Distance of Patient Domicile, Age, Gender, Number of patients served in the intended unit a...
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#2Siti NurmainiH-Index: 12
Last. Dian Palupi RiniH-Index: 4
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Author Name Disambiguation (AND) is a problem that reduces the quality of information in publication. Quality of service is strongly influenced in the problem of ambiguity of author names in citations and considered to be the most difficult issues in digital library from researchers and has an impact on the information of authors, organizations and other matters presented as part of the publication. Therefore, anomaly detection approach is proposed to solve this problem. The method proposed is u...
Mobile robots are gaining increasing attention not only as an experiment to prove "intelligence" in theory but also as an essential component of industrial and commercial automation. Four-wheeled omnidirectional mobile robot with each wheel having independent drive and seven HC-SR04 ultrasonic sensors were used in this study. Batch reinforcement learning method is used in solving the search for optimal control problems in autonomous robots. The Neural Fitted Q Itration (NFQ) algorithm is used to...
#1Ardy HidayatH-Index: 1
Last. Siti NurmainiH-Index: 12
view all 3 authors...
The queuing system service at the hospital has a problem that the service queue is longer than the health service itself. Based on the problem, we need a model that is able to provide a queuing services that are right on the target. In this paper, 10 criteria are used to determine the priority of the queue, namely: Risk Factors for Disease, Cost of Care, Medical Personnel, Medical Equipment, Waiting Time, Distance of Patient Domicile, Age, Gender, Number of patients served in the intended unit a...
Mobile robots have limited wheel movement. As its development in the industry in the field of research and technology, one of the mobile robots whose movements are more free than ordinary mobile robots is the Omni Wheel Mobile Robot. Fuzzy control system techniques that are often used in research are fuzzy type-1 (T1FLS). However, T1FLS has limitations in overcoming the unstructured level of linguistic, numerical and environmental uncertainty causing the Type-2 Fuzzy Logic System (IT2FLS) Interv...
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