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All Journal Intelmatics
Ratna Shofiati
Fakultas Teknologi Industri, Universitas Trisakti
Computer Science & IT

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Visualization of Covid 19 Information in Banten Province Based on Android Yusuf Al Khairi; Ahmad Zuhdi; Ratna Shofiati
Intelmatics Vol. 2 No. 1 (2022): Januari-Juni
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/itm.v2i1.9883

Abstract

Information visualization is a method for delivering information in visual form. Information visualize is vital if information about covid 19 is presented to the public, especially in the Province of Banten. Because the covid-19 virus is still high in the Province of Banten, as well as the lack of information about the spread of the covid-19 virus, there is need for caution so that the number of cases can be suppressed and may not increase. This requires A Covid 19 Information Visualize Android Application To Educate People In The Province Of Banten. So people can find out information about the covid-19 virus case. The application uses waterfall methodology for analysis that will identify the problem, data collection for android based information visualization. The next step is the design to design an android interface system app. Squence diagram, use case, erd (entity relationship diagram), and activity diagram are used for system design diagram. Based on the research from the android based app that will show information's visualization of covid 19.
Implementation of Gray Level Co-occurrence Matrix (GLCM) and Support Vector Machine (SVM) Methods for Recognition of Batik Bekasi Motifs Implementation of Gray Level Co-occurrence Matrix (GLCM) and Support Vector Machine (SVM) Methods for Recognition of B Sri Handayani; Ahmad Zuhdi; Ratna Shofiati
Intelmatics Vol. 2 No. 2 (2022): Juli-Desember
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/itm.v2i2.14423

Abstract

Batik is the identity and wealth of the Indonesian people in the field of culture, whose existence has been recognized by the world. However, many of the Indonesian people themselves are still unable to distinguish and recognize the motifs found on batik cloth. This is due to the large variety of motifs and patterns that are owned in different batik from each region in Indonesia. Therefore, we need a merchine leraning model that can be used to identify and classify the motifs contained in batik cloth. In this research, the method that will be used is the gray level co-occurrence matrix method which is used as a feature extraction method by utilizing five calculated parameters, namely, energy, contrast, correlation, homogeneity and entopy, as well as using the support vector machine method which is used as a motif classification method. . The batik motifs used are Bekasi batik motifs in the form of tamarind motifs, machete motifs, ondel motifs and mandar bird motifs. In this study, information on batik and the batik motifs used were obtained from a trusted source, namely the Bekasi Batik Community (KOMBAS).
Co-Authors Ahmad Zuhdi Sri Handayani Yusuf Al Khairi