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MEMAHAMI LEGALITAS REMIX & PARODI DI SOSIAL MEDIA; MENGKAJI AMBIGUITAS UU HAK CIPTA TERHADAP KONTEN BERBASIS KEBEBASAN BERKARYA Salsabila, Aulia; Franciska, Wira; Candra, Mardi
SINERGI : Jurnal Riset Ilmiah Vol. 2 No. 8 (2025): SINERGI : Jurnal Riset Ilmiah, Agustus 2025
Publisher : Lembaga Pendidikan dan Penelitian Manggala Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62335/sinergi.v2i8.1747

Abstract

The evolution of digital culture has fostered the emergence of transformational content—such as remixes and parodies—as legitimate forms of creative expression. However, Indonesia’s copyright framework, particularly Article 44 of Law No. 28 of 2014, remains normatively ambiguous and fails to ensure legal certainty for such expressions. Employing a normative legal approach, this study identifies a structural tension between the protection of exclusive rights and freedom of expression, exacerbated by formalistic state enforcement and algorithmic content moderation by digital platforms that lack contextual assessment. This research recommends a reformulation of the “fairness” clause grounded in the fair use doctrine, along with the development of adjudicative mechanisms that safeguard substantive digital justice.
Analisis yuridis terhadap kasus tawuran pada tahap penuntutan di Kejaksaan Negeri Pati Salsabila, Aulia; Aulana, Muhammad Saukhan; Rofiq, Nur
Journal of Law, Administration, and Social Science Vol 5 No 2 (2025)
Publisher : PT WIM Solusi Prima

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54957/jolas.v5i2.1504

Abstract

Pentingnya penerapan diversi dalam penanganan kasus anak yang berhadapan dengan hukum pada tahap penuntutan di Kejaksaan Negeri Pati. Artikel ini membahas permasalahan hukum terkait tawuran yang melibatkan anak di bawah umur, khususnya pada tahap penuntutan di Kejaksaan Negeri Pati. Gap hukum yang diidentifikasi adalah kegagalan proses diversi yang seharusnya dapat menghindarkan anak dari stigma hukum dan memfasilitasi reintegrasi sosial. Penelitian ini bertujuan untuk mengeksplorasi penyebab kegagalan tersebut serta menganalisis implementasi Undang-Undang Nomor 11 Tahun 2012 tentang Sistem Peradilan Pidana Anak yang berkaitan dengan posisi Jaksa Penuntut Umum. Metode yang digunakan adalah yuridis normative dengan pendekatan peraturan perundang-undangan, di mana data dikumpulkan melalui studi kepustakaan untuk mengkaji regulasi yang relevan dalam konteks perlindungan anak. Hasil penelitian menunjukkan bahwa kegagalan diversi disebabkan karena ketidakhadiran korban selama proses diversi di Kejaksaan sehingga diversi tidak dapat berjalan. Kesimpulan dari penelitian ini mengharuskan perlunya evaluasi dan peningkatan peran Jaksa dalam proses diversi, serta saran untuk memperkuat regulasi perlindungan anak agar lebih efektif dalam mencegah terulangnya tawuran dan melindungi hak-hak anak.
Perbandingan Klasifikasi Penyakit Kanker Paru-Paru menggunakan Support Vector Machine dan K-Nearest Neighbor Desiani, Anita; Indra Maiyanti, Sri; Andriani, Yuli; Suprihatin, Bambang; Amran, Ali; Marselina, Nyanyu Chika; Salsabila, Aulia
Jurnal PROCESSOR Vol 18 No 1 (2023): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2023.18.1.700

Abstract

Lung cancer is a condition where cells grow uncontrollably in the lungs due to carcinogens. Lung cancer is the first cause of death in men and women’s second cause of death. One way to reduce the death rate due to lung cancer is to carry out early detection, that is classification. The process of identifying and grouping objects with the same characteristics or characteristics into several predetermined classes is called classification. Several algorithms widely used in the classification process are Support Vector Machine (SVM) and K-Nearest Neighbor (KNN). SVM has advantages, being able to identify hyperplanes separately to maximize the margin between two or more different classes, but it is difficult to use in large data, while KNN can perform large-scale data separation and is resilient to noise in the data. This study aims to build a model using the SVM and KNN algorithms to classify lung cancer. The lung cancer dataset has a total of 309 data, where data is divided using the percentage split method and k-fold cross validation on each algorithm used. The parameters used in evaluating the model are accuracy, precision, and recall. From the research, the highest accuracy, precision, and recall values were obtained in the SVM algorithm with the percentage split method with consecutive values, namely 95.16%, 88%, and 82.5%. This indicates that the SVM algorithm with the percentage split method performs better in classifying lung cancer than other algorithms and methods,
THE APPLICATION OF AI (ARTIFICIAL INTELLIGENCE)-BASED LEARNING MEDIA TO SUPPORT THE DIGITAL LITERACY OF 21ST CENTURY STUDENTS IN ELEMENTARY SCHOOLS Dahlan, Taufiqulloh; Asna, Hilmiatun; Pratama , Yoga; Nur Fadillah, Nadil; Salsabila, Aulia; Nur Awaliah, Hanifah
International Journal of Multidisciplinary Research and Literature Vol. 5 No. 1 (2026): INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH AND LITERATURE
Publisher : Yayasan Education and Social Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53067/ijomral.v5i1.404

Abstract

Digital literacy is a fundamental competency for students in the 21st century; however, the digital literacy skills of elementary school students in Indonesia remain low and suboptimal in addressing the challenges of the digital era. This research aims to explore in depth the application of artificial intelligence (AI)-based learning media to support the development of digital literacy among elementary school students in the context of 21st-century learning. The study employs a qualitative case study design to examine three elementary schools in urban, semi-urban, and rural areas that have implemented AI-based learning media. The research participants included 18 teachers in grades 4-6, 9 principals, and 36 students, all selected purposively. Data were collected through in-depth interviews, participatory observations, focus group discussions, and documentation over six months. Data analysis uses a thematic, inductive-iterative approach to identify emerging themes and patterns. The results of the study identified five main themes: (1) personalisation of learning increases student engagement and understanding of the concept of digital literacy; (2) AI media facilitates adaptive learning according to individual learning styles and speeds; (3) interactive and gamification features increase motivation and learning independence; (4) implementation challenges include infrastructure limitations, teachers' digital competence, and the balance between technology and social interaction; (5) Success factors include school management support, ongoing teacher training, and user-friendly media design. The research provides an in-depth understanding of the dynamics of AI media applications in digital literacy learning, offering practical recommendations for effective implementation in primary schools that account for socio-cultural contexts and diverse infrastructure conditions
OPTIMALISASI BUDAYA K3 MELALUI EDUKASI TEKNIK ANGKAT YANG BENAR Salsabila, Aulia; Rosadi, Rakhmad
PEDULI: Jurnal Ilmiah Pengabdian Pada Masyarakat Vol 9 No 2 (2025)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37303/peduli.v9i2.779

Abstract

Occupational Safety and Health (K3) is an important effort to prevent workplace accidents and maintain the physical and mental health of workers to increase productivity. One of the risks that often occurs in the workplace is musculoskeletal disorders due to unergonomic lifting activities. K3 physiotherapy plays a promotive and preventive role through ergonomic education, improving work posture, and training in correct lifting techniques. This community service activity aims to increase workers' knowledge of correct lifting techniques through the application of the diagonal lift method. The methods used include education using posters, practical demonstrations, and discussion sessions for five ceiling shop workers in Sidorame, Barengkrajan, Krian District, Sidoarjo Regency. Evaluation was carried out through pre-tests and post-tests to determine the level of knowledge of the participants. The pre-test results showed that most participants still had low knowledge regarding correct lifting techniques. After being provided with education, the post-test results showed a significant increase in knowledge, where all participants were able to answer questions correctly. In addition, practical observations showed improvements in work posture such as keeping the back neutral, bending the knees when lifting, and bringing the load closer to the body so that it is safer for the musculoskeletal system.