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Peran Edukasi Etika Digital Dalam Mengurangi Risiko Serangan Keamanan Informasi Alfina Elsa Putri; Nazori Suhandi
Jurnal Ilmu Teknologi Informasi Indonesia Vol. 2 No. 1 (2026): JITIFNA - Januari
Publisher : CV. SINAR HOWUHOWU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70134/jitifna.v2i1.1010

Abstract

Digital ethics education is becoming increasingly important with the increasing threat of cybercrime and the need to protect personal data in the digital age. This study aims to analyze the role of digital ethics education and digital literacy in reducing the risk of security attacks. Using a literature review method, the study gathered information from journals, books, and reports related to digital ethics, data security, and user behavior. The results show that digital ethics education, which includes an understanding of the safe, legal, and responsible use of technology, can increase public awareness of cyber threats and strengthen their ability to maintain data integrity and privacy. The use of information technology in the educational process has also proven effective in encouraging ethical digital behavior, reducing the opportunity for attacks such as phishing, social engineering, and data misuse. Therefore, digital ethics education plays a crucial role in shaping a society that is intelligent, critical, and safe in its digital activities, thereby significantly reducing the risk of information security incidents.
Pelatihan literasi digital untuk meningkatkan keamanan pengguna internet pada masyarakat Evi Purnamasari; Doly Nofiansyah; Nazori Suhandi; Muhammad Adli Dary Hanif
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 10, No 3 (2026): June
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v10i3.39655

Abstract

Abstrak Perkembangan penggunaan internet di masyarakat meningkatkan kebutuhan akan pemahaman terkait keamanan digital dan penggunaan internet yang bijak. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan pemahaman masyarakat mengenai keamanan penggunaan internet melalui pelatihan literasi digital. Kegiatan dilaksanakan pada 9 Mei 2026 di Perumahan Griya Anggrek dengan jumlah peserta sebanyak 15 orang peserta. Metode pelaksanaan dilakukan melalui observasi, penyampaian materi, diskusi, simulasi, praktik langsung, serta evaluasi menggunakan pre-test dan post-test. Materi pelatihan meliputi literasi digital, keamanan data pribadi, cara mengenali phishing dan penipuan online, etika bermedia sosial, serta penggunaan kata sandi yang aman. Hasil kegiatan menunjukkan adanya peningkatan pemahaman peserta dengan nilai rata-rata pre-test sebesar 52 meningkat menjadi 86 pada post-test, atau mengalami peningkatan sebesar 34 poin. Peserta juga mampu memahami cara melindungi data pribadi, mengenali ancaman siber, dan menerapkan langkah-langkah dasar keamanan digital. Dengan adanya pelatihan ini, masyarakat diharapkan dapat menggunakan internet secara lebih aman, bijak, dan bertanggung jawab. Kata kunci: digital; keamanan internet; masyarakat; siber. AbstractThe increasing use of the internet in society has raised the need for better understanding of digital security and responsible internet usage. This community service activity aimed to improve public understanding of internet security through digital literacy training. The activity was held on May 9, 2026 at the Griya Anggrek Housing Complex with 15 participants. The implementation methods included observation, material delivery, discussions, simulations, direct practice, and evaluation using pre-test and post-test. The training materials covered digital literacy, personal data security, how to identify phishing and online fraud, social media ethics, and the use of secure passwords. The results showed an improvement in participants’ understanding, with the average pre-test score increasing from 52 to 86 in the post-test, indicating an improvement of 34 points. Participants were also able to understand how to protect personal data, recognize cyber threats, and apply basic digital security measures. This training is expected to encourage the public to use the internet more safely, wisely, and responsibly. Keywords: cyber; digital; internet security; society.
Pengenalan Gerakan Tangan untuk Kontrol Slide Presentasi Menggunakan Framework Mediapipe, OpenCV, dan Model LSTM Muhammad Rizaldi; Rudi Heriansyah; Nazori Suhandi
Jurnal Publikasi Teknik Informatika Vol. 4 No. 3 (2025): September : Jurnal Publikasi Teknik Informatika
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupti.v4i3.5332

Abstract

In presentation activities, the use of physical devices such as a mouse or remote often limits the presenter’s mobility and reduces the effectiveness of interaction with the audience. This study aims to implement a hand gesture recognition system as an alternative solution to control presentation slides in real-time without additional devices. The system was developed using the MediaPipe framework for hand landmark detection, OpenCV for video image processing, and a Long Short-Term Memory (LSTM) model for sequential gesture classification. Three main gestures were defined as commands, namely “Next,” “Previous,” and “Idle,” with input taken from live video streaming at a distance of 1–3 meters.The development process included manual labeling of gesture data from multiple users, training the LSTM model with sequential data, and testing the system in real-time integrated with Microsoft PowerPoint. Experimental results indicate that the system successfully recognized hand gestures with high accuracy across most scenarios, with optimal performance observed at distances of 1–2 meters. However, accuracy decreased under low-light conditions or when gestures were performed too quickly.These findings demonstrate that the combination of MediaPipe, OpenCV, and LSTM is effective in building a gesture-based presentation control system. Beyond enhancing flexibility and interactivity in presentations, this research also contributes to the development of more natural and practical human–computer interaction systems, while offering opportunities for broader applications in other domains
Pengaruh Pelatihan Etika Profesi terhadap Integritas Mahasiswa Teknik Informatika Meilany Aulia Putri; Nur Fadhilah Ramadhanti; Nazori Suhandi
Impression : Jurnal Teknologi dan Informasi Vol. 4 No. 3 (2025): November 2025
Publisher : Lembaga Riset Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59086/jti.v4i3.1178

Abstract

Penelitian ini bertujuan menganalisis secara sistematis pengaruh pelatihan etika profesional terhadap pembentukan integritas mahasiswa Teknik Informatika melalui telaah literatur terpilih yang mencakup publikasi tahun 2010–2025. Kajian ini menelaah konsep pelatihan etika, standar etika profesional TI, serta teori perkembangan moral untuk mengidentifikasi pola hubungan antara pelatihan etika dan integritas mahasiswa. Hasil telaah menunjukkan bahwa model pelatihan berbasis pengalaman, studi kasus, proyek teknis, dan simulasi etika lebih efektif dalam meningkatkan penalaran moral, kepekaan etis, dan tanggung jawab profesional mahasiswa. Secara teoretis, penelitian ini berkontribusi dengan mengintegrasikan perspektif etika filosofis, kerangka etika profesional ACM–IEEE, dan teori moral kognitif sebagai landasan konseptual pembentukan integritas di bidang TI. Temuan ini memberikan implikasi akademik bagi pengembangan kurikulum, khususnya kebutuhan penguatan pelatihan etika yang relevan dengan tantangan teknologi digital di perguruan tinggi.   This study aims to systematically examine the influence of professional ethics training on the integrity of Information Technology students through a selected literature review covering publications from 2010 to 2025. The analysis integrates discussions on ethics training models, professional IT ethical standards, and moral development theories to identify conceptual patterns linking ethics training to student integrity. The findings indicate that experiential learning, case-based instruction, project-integrated ethics, and digital ethics simulations are the most effective approaches in enhancing students’ moral reasoning, ethical sensitivity, and professional responsibility. Theoretically, this study contributes by synthesizing philosophical ethics perspectives, the ACM–IEEE professional ethics framework, and cognitive moral development theory into a comprehensive conceptual foundation for understanding integrity formation in the IT domain. These insights offer academic implications for curriculum development, particularly the need to strengthen ethics training aligned with emerging digital technology challenges in higher education.  
Klasifikasi Jenis Jamur Edible Dan Poisonous dengan Arsitektur Mobilenetv2 Ricky Saputra; Rendra Gustriansyah; Nazori Suhandi
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 11, No 2 (2026): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v11i2.984

Abstract

Edible and poisonous mushrooms are difficult to distinguish visually, potentially causing errors in determining their safety for consumption. This study aims to develop a MobileNetV2-based image classification model to distinguish edible and poisonous mushrooms. A quantitative experimental approach with transfer learning was applied to 2,820 images from 47 species, consisting of 25 edible and 22 poisonous species. The dataset was divided into 70% training, 10% validation, and 20% testing data. The research involved image preprocessing, MobileNetV2 architecture design using ImageNet-pretrained weights, model training with Adam optimizer and categorical cross-entropy loss, and evaluation using accuracy, precision, recall, F1-score, and confusion matrix. The model achieved 98% training accuracy, 96% validation accuracy, and 92.2% testing accuracy, with a test loss of 0.271. On the testing data, the edible and poisonous classes achieved F1-scores of 0.93 and 0.91, respectively. These results indicate that MobileNetV2 can effectively classify edible and poisonous mushrooms with good generalization performance. The model can serve as an image-based identification aid but should not be used as the sole basis for determining mushroom safety.