Expert system for predicting the early pregnancy with disorders using artificial neural network

Maylawati, Dian Sa’adillah; Ramdhani, Muhammad Ali; Zulfikar, Wildan Budiawan; Taufik, Ichsan; Darmalaksana, Wahyudin

doi:10.1109/citsm.2017.8089243

Cited by 40 publications

(16 citation statements)

References 10 publications

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“…Symptoms like stomach and uterus are larger but actually not, amenorrhea are found in few women; however there is no specific pregnancy sign. [1] Few complications women may fight during prenatal periods are,…”

Section: Complications During Prenatalmentioning

confidence: 99%

An Approach for Predication of Complications Women Fights During Maternal Period

Sawant¹,

Bakal²

2019

IJCET

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Pregnancy and motherhood are natural processes in the lives of women. One of the great feelings for every woman is begin a Mother, but maternal period is very much susceptible for health issues. Some old illnesses may increases or new illnesses can start during this period. Recently Indian health status has improved. Child mortality rates and maternal mortality are declined in current scenario but when Indian situation is compared with other developed countries it is not so good. Advance in data analytics has become one of the driving forces in multiple fields to turn them into technology dependent ones. One of the fields where this impact is still at lower level is maternal health care. There is a need to analyze the symptoms, take steps towards the precautions and dealing with the complication which women fights during this period. This paper discuss various complication women suffer during maternal period, various approaches proposed in past with their findings and it also proposed a model which can be used for predication of parameters which lead to the complication in pregnancy.

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Section: Complications During Prenatalmentioning

confidence: 99%

An Approach for Predication of Complications Women Fights During Maternal Period

Sawant¹,

Bakal²

2019

IJCET

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“…Expert systems are systems that process data in an organized manner [8], which seeks to adapt human knowledge to a computer, so that the computer can solve problems as is usually done by experts [9]. Based on many research results, the expert system has a very good ability in decision making, the system has advantages in terms of: good data accessibility, efficient in time [10], accurate [11], support decisions appropriately [12], more economical [13], broad accessibility [14], improving user understanding [15], improving productivity [16], presenting data and information well [17], and in certain cases can be utilized as data storage media [18].…”

Section: System Designmentioning

confidence: 99%

Comparison of principal component analysis algorithm and local binary pattern for feature extraction on face recognition system

et al. 2018

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Characteristic extraction in face recognition is a step to get characteristic information from the image. The characteristic extraction algorithm is tested against several scenarios of different sunlight and lights, objects facing the camera and not facing the camera. The sample test data were performed on 4 people using a video file or frame numbering 70 for recognizable faces using Principal Component Analysis (PCA) and Local Binary Pattern (LBP) algorithms. The result of the research shows that Local Binary Pattern (LBP) algorithm in object scenario facing camera with sunlighting in room has accuracy of 98.59%, recognition time of 812,817 milliseconds, FAR of 1,41% and FRR of 0%, while at Principal Component Analysis (PCA) 98.59% accuracy, recognition time of 1275,761 milliseconds, FAR of 1.41% and FRR of 0%. Based on these results, the Local Binary Pattern (LBP) algorithm is more efficient than Principal Component Analysis (PCA) for face recognition of the scenarios to be implemented in real-time video.

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“…IS which are a combination of information technology and human activities that use computerized technology [1], can be used to support decision making [2], manage the organized data [3], that built based on user requirements [4], capable of solving complex data [5], and IS have a high degree of flexibility that allows to be developed into better systems [6]. Based on much previous research, IS has advantages such as accurate [7], precise support decision [8], good data accessibility [9], efficient processing time [10], more economical [11], improve productivity [12], present data and information well [13], widely used [14], improve user understanding [10], and as media to save data [15].…”

Section: Introductionmentioning

confidence: 99%

Model-view-controller approach for e-Zakah

Fathonih

Maylawati

Ramdhani

2019

IJEECS

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<p>Zakah (alms) has a strategic position in terms of Islamic value and terms of the development of the welfare of the people. In the current digital era, the use of technology can facilitate zakah worship more easily, quickly, efficiently, and secure. This study aims to analyze and design electronic zakah (e-Zakah) structurally and systematically using the Model-View-Controller (MVC) approach. MVC is an approach or pattern of object-oriented analysis and design for software development that widely used today. MVC is implemented in the analysis and design modelling using Unified Modeling Language (UML) for e-Zakah. Based on the traceability result of analysis and design of e-Zakah, it can be concluded that the e-Zakah analysis and design model has been met all of zakah concept, user and software requirements, and all of models can be traced to each other. Therefore, e-Zakah analysis and design model in this study is ready to be built as a software.</p>

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Expert system for predicting the early pregnancy with disorders using artificial neural network

Cited by 40 publications

References 10 publications

An Approach for Predication of Complications Women Fights During Maternal Period

An Approach for Predication of Complications Women Fights During Maternal Period

Comparison of principal component analysis algorithm and local binary pattern for feature extraction on face recognition system

Model-view-controller approach for e-Zakah

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