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All Journal AcTion: Aceh Nutrition Journal JIKA (Jurnal Informatika) Media Jurnal Informatika International Conference on Health Science, Green Economics, Educational Review and Technology (IHERT) The Indonesian Journal of Computer Science
Susilawati, Eva
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Immunology & microbiology Medicine & Pharmacology Public Health

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ANDROID-BASED NATURAL DISASTER EVACUATION APPLICATION Susilawati, Eva; Saniah, lia; Sahrial, Rysa; Muslim, Buhori
International Conference on Health Science, Green Economics, Educational Review and Technology Vol. 4 (2022): International Conference on Health Science, Green Economics, Educational Review and T
Publisher : Universitas Efarina

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (578.167 KB) | DOI: 10.54443/ihert.v4i.209

Abstract

Cianjur Regency is an area that is in the crust of the Sunda plate, and is right above the very active Cimandiri fault and stretches from Palabuhan Ratu, Sukabumi, Cianjur, Bandung to Cirebon Regency. At any time a shift (earthquake) and other natural disasters can strike, this is very important because the vast area of Cianjur stretches from south to north bordering Bogor, Bandung, and Sukabumi so applications such as preparedness efforts need to be made so that evacuation and coordination run smoothly if the facilities are not supported, the application for natural disaster evacuation uses an application platform that is widely used. Research using the Scrum Process application development method which is part of the agile development method, based on Scrum this process has produced research products in the form of applications that can be used by the BPBD in coordinating and evacuating refugees caused by disasters. so that all possibilities such as assisting can be carried out on target, providing information on the loss of refugee family members can be minimized, and so on being able to help BPBD coordinate everything.
RECOGNITION OF FACE PATTERNS USING SINGULAR VALUE DECOMPOSITION TO IDENTIFY FRIENDSHIP RELATIONSHIP Muslim, Buhori; Susilawati, Eva; Saniah, Lia
International Conference on Health Science, Green Economics, Educational Review and Technology Vol. 4 (2022): International Conference on Health Science, Green Economics, Educational Review and T
Publisher : Universitas Efarina

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (578.469 KB) | DOI: 10.54443/ihert.v4i.210

Abstract

A system to recognize the faces of family members is the next generation of the system based on biometrics that we commonly encounter using facial patterns and characteristics as identification objects. This family member recognition system uses existing facial patterns in the database system as storage, then does a comparison with the tested image. The facial pattern recognition system has some problems, for example, difficulty in recognizing objects with different lighting levels in the process of taking the picture. To overcome the obstacles that occur due to variations in light levels was developed software by applying the singular value decomposition (SDV) method. The result of In this study, the application of facial pattern recognition is thought to have a relationshipkinship that is useful for identifying someone who is in the test image as well as displays a person's identity if a match is found with the sample on the application. In this study, the samples used were 100 facial images and 50 facial images of random humans, the resulting level of accuracy of this software is 92.8769% in recognizing patterns of kinship face, 60.1775% in matching the test image with the existing sample on the basis application data and 90.9567% when determining the identity of someone who is the same as databases.
Co-Authors Buhori Muslim Dono Indarto Kuncoro, M Adi Lia Saniah Rony, Zahara Tussoleha Sahrial, Rysa Tri Nugraha Susilawati