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Pemanfaatan Aplikasi ChatGPT dalam Mendukung Dosen Menyusun Artikel Ilmiah di Politeknik Aceh Selatan Dirja Nur Ilham; Rudi Arif Candra; Devi Satria Saputra; Fardiansyah Fardiansyah; Ihsan Anwar; Asbahrul Amri; Sepri Kurniadi
JURNAL PENGABDIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (JP3L) Vol 3 No 2 (2026): JURNAL PENGABDIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (JP3L): Volume 3 Nomor 2,
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/jp3l.v3i2.100

Abstract

Perkembangan teknologi Artificial Intelligence (AI) telah memberikan dampak signifikan dalam dunia pendidikan, khususnya pada proses penulisan karya ilmiah. Salah satu teknologi yang banyak dimanfaatkan adalah ChatGPT, yaitu aplikasi berbasis AI yang mampu membantu pengguna dalam menghasilkan teks akademik secara cepat, sistematis, dan efisien. Penelitian ini bertujuan untuk menganalisis efektivitas pelatihan penggunaan ChatGPT dalam meningkatkan kemampuan dosen dalam menyusun artikel ilmiah di Politeknik Aceh Selatan. Metode penelitian yang digunakan adalah pendekatan deskriptif dengan pelaksanaan pelatihan selama dua hari yang meliputi penyampaian materi, demonstrasi, serta praktik langsung. Hasil pelatihan menunjukkan adanya peningkatan pemahaman peserta dalam menyusun struktur artikel ilmiah, menulis abstrak, serta mengembangkan ide penelitian. Selain itu, penggunaan ChatGPT juga terbukti mampu meningkatkan efisiensi waktu dalam proses penulisan artikel. Meskipun demikian, penggunaan AI tetap memerlukan pemahaman yang baik terkait etika akademik, termasuk validasi informasi dan pencegahan plagiarisme, agar kualitas dan integritas karya ilmiah tetap terjaga secara optimal.
Semantic Playlist Engineering: A Conceptual Approach to Digital Content Organization through Semantic Domains Fardiansyah Fardiansyah; Anhar Anhar; Sepri Kurniadi
PERFECT: Journal of Smart Algorithms Vol. 3 No. 2 (2026): PERFECT: Journal of Smart Algorithms, Article Research July 2026
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/perfect.v3i2.310

Abstract

The rapid growth of digital content enabled by Generative Artificial Intelligence (Generative AI) has shifted the primary challenge for creators from content production to the organization of continuously expanding digital collections. Existing content organization mechanisms, such as playlists, albums, and collections, are commonly based on technical characteristics including genre, publication chronology, or media type, making them less effective in representing the conceptual relationships among creative works. Meanwhile, semantic approaches reported in previous studies have primarily focused on recommendation systems, information retrieval, metadata enhancement, and automatic playlist generation rather than creator-centric content organization.This study introduces Semantic Playlist Engineering (SPE) as a conceptual approach to digital content organization through Semantic Domains. Within the proposed approach, a Semantic Domain is defined as a conceptual space that groups creative works sharing similar meanings regardless of their technical characteristics or platform implementation. These domains are subsequently represented through Semantic Playlist Organization (SPO), allowing platform-specific organizational mechanisms such as playlists, collections, albums, or series to serve as representations of semantic organization.The study adopts a conceptual descriptive research approach supported by a case study involving digital music produced by Studio Isi Pundi Sound™ and published through the FartressMusic YouTube channel. The case study demonstrates how semantically related creative works can be organized into illustrative Semantic Domains to support coherent creator-centric content organization.The primary contribution of this study is the introduction of Semantic Playlist Engineering, Semantic Domains, and Semantic Playlist Organization as a unified conceptual foundation for organizing creator-owned digital content. Rather than proposing a recommendation algorithm or an automated classification model, this study offers a new perspective that positions semantic meaning as the principal basis for long-term digital content organization across different digital platforms.
Digital Smart Society: Edukasi Bijak Berteknologi Untuk Masyarakat Desa Dirja Nur Ilham; Rudi Arif Candra; Fardiansyah Fardiansyah; Sepri Kurniadi
JURNAL PENGABDIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (JP3L) Vol 3 No 2 (2026): JURNAL PENGABDIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (JP3L): Volume 3 Nomor 2,
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/jp3l.v3i2.102

Abstract

Perkembangan teknologi digital yang pesat telah membawa perubahan signifikan dalam kehidupan masyarakat, termasuk di wilayah pedesaan. Namun, rendahnya literasi digital menyebabkan masyarakat desa belum mampu memanfaatkan teknologi secara optimal dan bijak. Oleh karena itu, kegiatan pengabdian masyarakat ini dilakukan dengan tujuan meningkatkan pemahaman dan kesadaran masyarakat dalam menggunakan teknologi secara cerdas, aman, dan produktif. Realisasi kegiatan dilakukan melalui sosialisasi, pelatihan, dan pendampingan terkait penggunaan internet sehat, keamanan digital, serta pemanfaatan teknologi untuk kegiatan ekonomi. Kegiatan dilaksanakan secara langsung dengan melibatkan masyarakat desa sebagai peserta aktif. Hasil kegiatan menunjukkan adanya peningkatan pemahaman masyarakat terhadap risiko teknologi seperti hoaks dan penipuan online, serta meningkatnya kemampuan dalam memanfaatkan media digital untuk kegiatan produktif. Kesimpulan dari kegiatan ini adalah program Digital Smart Society efektif dalam meningkatkan literasi digital masyarakat desa serta mendorong terbentuknya perilaku bijak dalam penggunaan teknologi.
Network Security Analysis in Internet of Things (IoT) Systems Nova Oktapiana; Dirja Nur Ilham; Fardiansyah Fardiansyah; Depi Ginting; Fera Anugreni
JATAED: Journal of Appropriate Technology for Agriculture, Environment, and Development Vol. 3 No. 1 (2025): JATAED: Journal of Appropriate Technology for Agriculture, Environment, and Dev
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/jataed.v3i1.95

Abstract

The rapid development of the Internet of Things (IoT) has significantly transformed various sectors, including industry, healthcare, smart cities, and agriculture. However, this growth has also increased the complexity and scale of network security vulnerabilities. IoT devices are typically resource-constrained and operate in heterogeneous network environments, making them attractive targets for cyberattacks. This study aims to analyze key network security challenges in IoT systems, evaluate solution technologies proposed in recent literature, and formulate evidence-based recommendations for improving IoT security. The research adopts a Systematic Literature Review (SLR) method by examining ten peer-reviewed articles published between 2020 and 2023 and indexed in IEEE Xplore, SpringerLink, and ACM Digital Library. The results indicate that major IoT security challenges include vulnerabilities in communication protocols, limited computational and energy resources, and the increasing prevalence of attacks such as Distributed Denial of Service (DDoS), spoofing, and ransomware. The most frequently proposed solutions involve machine learning-based anomaly detection, lightweight cryptographic mechanisms, layered security architectures using edge–fog–cloud computing, and blockchain integration to enhance authentication and data integrity. This study concludes that IoT security requires a holistic and multidisciplinary approach that integrates multiple complementary technologies within a unified security framework.
Computer Network Security: A Review And Implementation For Beginner Users Muhammad Farhan; Rudi Arif Candra; Ihsan Anwar; Fardiansyah Fardiansyah; Dina Miftahul Jannah; Devi Satria Saputra
JATAED: Journal of Appropriate Technology for Agriculture, Environment, and Development Vol. 3 No. 1 (2025): JATAED: Journal of Appropriate Technology for Agriculture, Environment, and Dev
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/jataed.v3i1.96

Abstract

Computer network security has become a crucial aspect in the digital era as users increasingly depend on network technologies for daily activities. Beginner users represent one of the most vulnerable groups to cyber security threats due to limited technical knowledge and low security awareness. This article aims to provide a comprehensive review of fundamental concepts, common threat types, and basic network security strategies that are relevant for beginner users. The research method employed is a descriptive literature review of scientific articles and academic publications related to computer network security published between 2018 and 2025. The collected literature was analyzed to identify dominant threats and effective protection mechanisms for beginner users. The results indicate that threats such as malware, phishing, ransomware, and unauthorized access remain major security issues. The implementation of basic security mechanisms, including strong password policies, firewalls, antivirus and anti-malware software, regular system updates, and improved user awareness, has proven effective in minimizing security risks. With adequate understanding and proper implementation of these measures, beginner users are expected to apply network security practices more safely, responsibly, and efficiently.