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All Journal International Journal of Research in Vocational Studies (IJRVOCAS) Jurnal Puan Indonesia Jurnal Desain dan Analisis Teknologi
fajrin, alfannisa annurrallah
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Development of a Digital Tourism Model Using Virtual Reality as Sociological Restoration at the Foot of Mount Sinabung Hasibuan, Annalisa Sonaria; Destiadi, Rezha; Fajrin, Alfannisa Annurrallah; Pinem, Kynta Bretyna
International Journal of Research in Vocational Studies (IJRVOCAS) Vol. 3 No. 4 (2024): IJRVOCAS - Special Issues - International Conference on Science, Technology and
Publisher : Yayasan Ghalih Pelopor Pendidikan (Ghalih Foundation)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/ijrvocas.v3i4.248

Abstract

Mount Sinabung is an active volcano located in the Karo Highlands, specifically in the Karo Regency of North Sumatra, Indonesia. Sinabung and Mount Sibayak, located in North Sumatra, are both active volcanoes and rank as the second-highest peaks in the province. However, it saw a dramatic resurgence and became active once more with a volcanic eruption on August 27, 2010. The most recent eruption of this mountain took place on February 19, 2018 and is ongoing. The significance of this situation prompted the study team to engage in the development of an empowerment paradigm. The objective of this study is to create a digital tourism framework for communities impacted by the eruption of Mount Sinabung, utilizing virtual reality technology as a means to facilitate societal repair. The research methodology employed is a hybrid approach. The data results are processed and evaluated using a customized technique that takes into account the specific demands of the community and parties involved in the collaborative model development. This analysis is done both qualitatively and quantitatively. The analytical stage of discussing the desired digital tourist model employs the theory of viewing techniques, which is akin to reading, in the form of the selection stage.
Pelatihan Sablon Baju Digital Karang Taruna Pemuda Kampung Bagan Kota Batam Sebagai Fondasi Pertumbuhan Ekonomi dan Keberlanjutan Budaya Hutabri, Ellbert; Satria, Robby; Elisa, Erlin; Fajrin, Alfannisa Annurrallah
PUAN INDONESIA Vol. 6 No. 1 (2024): Jurnal Puan Indonesia vol 6 no 1 Juli 2024
Publisher : ASOSIASI IDEBAHASA KEPRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37296/jpi.v6i1.250

Abstract

Kampung Bagan, an old Malay village on the coast of Tanjung Piayu, Batam City, has great cultural and economic potential but faces challenges in maintaining its cultural identity and competitiveness in the era of globalization. The youth of Kampung Bagan, most of whom work as factory workers, fishermen and traders, have creativity that has not yet been fully explored. Karang Taruna Kampung Bagan plays an important role in social and cultural activities. To empower youth, digital clothing screen printing training was carried out which integrated Malay cultural motifs into clothing designs. This training aims to improve skills, empower the local economy, preserve culture, and encourage creativity and innovation. This program involves team formation, needs analysis, and impact evaluation using guided training methods. The results show an increase in youth skills and income as well as an increase in community solidarity. Challenges such as limited resources and participation need to overcome poverty programs. It is hoped that the revitalization of the creativity of the Kampung Bagan Youth Youth Organization through digital clothing screen printing training will be able to provide a solid foundation for economic growth and cultural prosperity, making youth better prepared to face global challenges and increasing community competitiveness.
Penerapan Model Pembelajaran Mesin Dalam Sistem Cybersecurity Fajrin, Alfannisa Annurrallah; Maslan, Andi
Jurnal Desain Dan Analisis Teknologi Vol. 4 No. 2 (2025): Juli
Publisher : Aptikom Kepri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58520/jddat.v4i2.85

Abstract

Keamanan jaringan atau cybersecurity sangat penting dalam dunia digital,karena seseorang yang melakukan penyerangan bisa megirim kode jahat seperti malware ke berbagai file yang bisa merugikan orang lain. Ada berbagai jenis malware atau program yang cukup berbahaya bisa ditemukan di internet. Banyak hal yang harus diperhatikan dalam perlindungan system, seperti jaringan dan keamanan lainnya yang merupakan fakrot penting karena berkaitan dengan pengoperasian sistem informasi agar bisa mencegah ancaman terhadap kerusakan sistem. Malware merupakan program software yang berbahaya pagi pengguna komputer.Serangan kerusakan yang sering terjadi seperti Ping of Death, UDP Flood, Smurf Attack dan lainnya. Model pembelajaran mesin atau biasnaya disebut dengan Machine Learning akan melakukan pendekatan untuk mendeteksi serangan malware ini yang dianalisis secara statistik menggunakan algoritma genetika. Dari pembelajaran mesin ini akan dilakukan secara kategori untuk serangan malware yang terjadi dengan cara eksplorasi data,training dan testing, maka akan terlihat tingkat akurasi dari neural networknya.
Co-Authors Destiadi, Rezha Elisa, Erlin Ellbert Hutabri, Ellbert Hasibuan, Annalisa Sonaria Maslan, Andi Pinem, Kynta Bretyna Satria, ROBBY