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PENINGKATAN KOMPETENSI GURU PAUD/TK MELALUI PELATIHAN CANVA SEBAGAI INOVASI MEDIA PEMBELAJARAN Suliswaningsih; Dani Arifudin; Retno Waluyo; Gilang Miftakhul Fahmi; Mohamad Syahri Nurrochim
Nusantara Hasana Journal Vol. 2 No. 8 (2023): Nusantara Hasana Journal, January 2023
Publisher : Yayasan Nusantara Hasana Berdikari

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Abstract

According to Permendikbud Number 18 of 2018 concerning the Provision of Early Childhood Education Services, it explains that the quality of an PAUD service can be seen from its learning innovation, increasing the capacity of educators and education personnel to innovate learning, as well as the provision of facilities and infrastructure. The problem faced by most educators in PAUD services is the lack of ability to develop innovative learning media, so they tend to use conventional methods such as lectures. Early childhood requires a visual learning method, so that students understand the material presented by the teacher. The ability to create interesting learning media must of course be balanced with mastery of design using computers. This service aims to provide training for PAUD teachers to be able to create innovative learning media using the Canva application. Canva is an application that will help teachers to design easily, even if they don't have graphic design skills. The service is carried out by the lecture method on the explanation of the material, then the participants carry out practical work on making learning media. The result of this activity is that PAUD teachers can improve competence through training in making learning media using the Canva application.
Implementasi Steganografi Gambar Menggunakan Algoritma Generative Adversarial Network Khairunnisak Khairunnisak; Gilang Miftakhul Fahmi; Didit Suhartono
SINTECH (Science and Information Technology) Journal Vol. 6 No. 1 (2023): SINTECH Journal Edition April 2023
Publisher : Prahasta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v6i1.1258

Abstract

Abstract In the era of information technology, it is very important to protect data and information so that irresponsible parties do not misuse it. One technique for securing data is steganography. Steganography is a technique of hiding messages in a medium. One of the media for hiding messages is pictures. However, steganography techniques can still be detected by steganalysis techniques. Steganalysis is a technique for analyzing hidden messages in steganography. Therefore this study applies image processing techniques with the Generative Adversarial Network algorithm model, which aims to manipulate images so that steganalysis techniques cannot detect hidden messages. Proof of the results of applying the Generative Adversarial Network algorithm using a web-based application containing message hiding and extraction functions. The results obtained are that the Generative Adversarial Network algorithm can be applied to create mock objects, and images can revive based on training data which is a model for how the algorithm works. In addition, the results of testing the Generative Adversarial Network algorithm were successfully applied to image steganography which functions to prevent steganalysis techniques from trying to detect messages in images. Future research is expected to be able to select steganographic images other than the results from the training data model according to the original size chosen randomly according to the selection of the user.