Incremental technique with set of frequent word item sets for mining large Indonesian text data

Maylawati, Dian Sa’adillah; Ramdhani, Muhammad Ali; Rahman, Ali; Darmalaksana, Wahyudin

doi:10.1109/citsm.2017.8089224

Cited by 22 publications

(14 citation statements)

References 5 publications

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“…Information system is a system that processes data in an organized way [18], information system has a high level of flexibility that allows development into a better system [19]. Based on many research findings, the information system has advantages in terms of: good data accessibility [20], time efficiency [21], accuracy [22], supporting decision appropriately [23], more economical [24], broad accessibility [25], improving user understanding [26], improving productivity [27], providing good data and information [28], and used as data storage media [29]. ICT can implemented in warning system that the people use in responding natural disasters [30].…”

Section: Resultsmentioning

confidence: 99%

Early Warning System in Mobile-Based Impacted Areas

Rahadian¹,

Slamet²,

Andrian³

et al. 2018

IJET

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Indonesia is a country prone to earthquake for Indonesia is located between three tectonic plates. Some natural disasters of earthquake caused have a big number of victims. This is due to the ineffectiveness of current early warning system since it still uses conventional way. This study is aimed to create a system that can deliver direct information about earthquake to the people of easy-using mediaand provide direction to the nearest evacuation site to them. Method of system design applies prototype development method. The applied system uses Google Maps API as a tool to trace the user’s location and the evacuation site. In addition, the system will use firebase as a tool of notification delivery.

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Section: Resultsmentioning

confidence: 99%

Early Warning System in Mobile-Based Impacted Areas

Rahadian¹,

Slamet²,

Andrian³

et al. 2018

IJET

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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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“…DSS is the part of information system for supporting decision for decision making. Refers to several research, an information system has a high capability in decision making, the system has an accurate data accessibility and efficient run-time [10], high accuracy [11], and to support a proper decision [12], low cost [13], extended accessibility [14], intensify user knowledge, increase productivity [15], provide a better data and information [16], and in the certain cases are potentially used as data storage [17].…”

Section: Introductionmentioning

confidence: 99%

Design of prototype decision support system for flood detection based on ultrasonic sensor

Septiana

2018

MATEC Web Conf.

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The system of awareness of the overflow of river water that causes flooding cannot work automatically and in real time in providing a warning about the elevation of river surface that potentially flood. It's caused residents who live around the river area do not know the situation when the river overflow. There are several alternatives to detect river overflow, one of them is by using microcontroller ultrasonic sensor based. The research aims to design prototype decision support system based on the ultrasonic sensor for flood detection that works automatically detects the river overflow. The software development model used is Prototype Model. The result of this research is a prototype in the form of microcontroller ultrasonic sensor based which can be used as flood detection decision support system that will know the height of river surface designed to detect certain level about flood potency with a low-level error.

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Incremental technique with set of frequent word item sets for mining large Indonesian text data

Cited by 22 publications

References 5 publications

Early Warning System in Mobile-Based Impacted Areas

Early Warning System in Mobile-Based Impacted Areas

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

Design of prototype decision support system for flood detection based on ultrasonic sensor

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