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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Al-Adalah: Jurnal Hukum dan Politik Islam Jurnal Cahaya Mandalika Inovasi : Jurnal Sosial Humaniora dan Pendidikan Srawung: Journal of Social Sciences and Humanities Yuris: Journal of Court and Justice Acitya Wisesa: Journal of Multidisciplinary Research Yurisprudentia: Jurnal Hukum Ekonomi West Science Law and Human Rights Semeru Jurnal Pengabdian Masyarakat
Nuroini, Indi
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Physics Social Sciences Other

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EXPLOITATION OF THE ELDERLY IN THE PHENOMENON OF ‘CYBER BEGGING’ ON TIKTOK: A VICTIMOLOGICAL PERSPECTIVE Amalia, Bunga Rizky; Nuroini, Indi
YURIS: Journal of Court and Justice Vol. 4 Issue 2 (2025)
Publisher : jfpublisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56943/jcj.v4i2.806

Abstract

The emergence of cyber begging on digital platforms such as TikTok has raised serious legal and ethical concerns, particularly when involving vulnerable populations like the elderly. This study examines the phenomenon of elderly individuals participating in live-stream content on TikTok, where they are often depicted in humiliating or infantilizing situations in exchange for virtual gifts. Using a normative legal research method, this paper analyzes whether such practices can be categorized as criminal exploitation under Indonesian law, particularly Law No. 21 of 2007 on the Eradication of Human Trafficking and related statutory instruments. The study adopts a victimological perspective to argue that apparent consent does not negate victimhood when participation is shaped by structural conditions such as poverty, digital illiteracy, or dependency. Furthermore, the principle of legal certainty is employed to highlight the inadequacy of current legal frameworks in addressing emerging forms of digital exploitation. The findings suggest that while cyber begging may appear voluntary, it often reflects deeper patterns of coercion and asymmetrical benefit, warranting clearer legal recognition and protective policies. This research contributes to the discourse on elder justice, digital labor ethics, and the evolution of criminal law in the digital age.
The Role of Labor Law in Settling Industrial Relations Disputes: A Normative Juridical Perspective on the Rights of Workers and the Obligations of Employers in Indonesia Rahmawati, Diah Ayu; Haryono, Haryono; Endarto, Budi; Nuroini, Indi; Hananto, Hananto
West Science Law and Human Rights Vol. 3 No. 01 (2025): West Science Law and Human Rights
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wslhr.v3i01.1653

Abstract

This research reviews labor law's role in the settlement of disputes in industrial relations within a normative juridical perspective in Indonesia. The research focuses on workers' rights and employers' obligations under Indonesia's labor legislation, mainly Undang-Undang No. 13 Tahun 2003 (the Labor Law). The study examines dispute resolution mechanisms, such as negotiation, mediation, and arbitration through the PHI, their effectiveness in protecting workers' rights, and how well employers adhere to the law. From the results, it is learned that negotiation and mediation are effective at the starting stage, but due to power imbalance and delayed processing in the judicial system, comprehensive settlements could not be achieved. Moreover, inconsistent court decisions, weak enforcement of workers' rights, and lack of adequate union representation remain critical. Concluding, the paper provides recommendations on how Indonesia can better settle labor disputes by strengthening mechanisms for mediation and arbitration, enhancing judicial capacity, and effective enforcement of workers' rights.
Efektivitas Penerapan Restorative Justice Dalam Kasus Pidana Di Indonesia Nuroini, Indi
Jurnal Cahaya Mandalika ISSN 2721-4796 (online) Vol. 5 No. 2 (2024)
Publisher : Institut Penelitian Dan Pengambangan Mandalika Indonesia (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/jcm.v5i2.3179

Abstract

Penelitian ini bertujuan untuk mengevaluasi efektivitas sistem kontrol teknologi informasi (TI), prosedur audit, dan deteksi kecurangan di institusi keuangan melalui pendekatan kualitatif dengan metode literature review. Sistem kontrol TI memainkan peran kunci dalam menjaga keamanan data dan integritas operasional, sementara prosedur audit berfungsi sebagai mekanisme pengawasan yang dapat mendeteksi dan mencegah terjadinya kecurangan. Dalam penelitian ini, kami mengumpulkan dan menganalisis berbagai literatur yang berkaitan dengan topik tersebut, termasuk studi empiris, artikel teori, dan laporan praktik terbaik. Hasil evaluasi menunjukkan bahwa institusi keuangan yang menerapkan sistem kontrol TI yang komprehensif dan terus diperbarui mampu mengurangi risiko kebocoran data dan penyalahgunaan informasi. Prosedur audit yang efektif dan berbasis risiko terbukti mampu mengidentifikasi kelemahan dalam sistem dan operasi yang berpotensi menjadi titik masuk bagi kecurangan. Namun, deteksi kecurangan tidak hanya bergantung pada kekuatan teknologi dan prosedur audit, tetapi juga pada kesadaran dan keterlibatan seluruh pemangku kepentingan dalam institusi keuangan tersebut.
PENEGAKAN HUKUM DALAM PENERAPAN HUKUM PIDANA DALAM PENGGUNAAN PERSPEKTIF ILMIAH HUKUM PIDANA Nuroini, Indi
Yurisprudentia: Jurnal Hukum Ekonomi Vol 9, No 2 (2023)
Publisher : Universitas Islam Negeri Syekh Ali Hasan Ahmad Addary Padangsidimpuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24952/yurisprudentia.v9i2.9410

Abstract

Penelitian ini bertujuan untuk mengetahui Tindakan yang bersifat Represif Edukatif dalam penegakan Hukum Pidana Ketenagakerjaan dalam perspektif ilmu hukum pidana. Penelitian ini bertujuan untuk menganalisis landasan filosofis dan yuridis, serta konsepsi – konsepsi yang bersifat ilmiah mengenai penerapan asas Represif Edukatif dalam penegakan hukum pidana dibidang ketenagakerjaan. Dibidang ketenagakerjaan terdapat beberapa ketentuan hukum pidana yang telah jelas dirumuskan sebagai suatu delik, yang mana delik-delik tersebut juga merupakan bagian dari obyek pengawasan pegawai pengawas ketenagakerjaan. Simpulan yang dihasilkan adalah Bentuk dan penerapan asas Represif Edukatif dalam penegakan hukum pidana dibidang ketenagakerjaan dengan langkah – langkah bentuk pemeriksaan sampai diterbitkan nota pemeriksaan dan Perpektif ilmu hukum pidana terhadap asas Represif Edukatif dalam penegakan hukum pidana dibidang ketenagakerjaan dengan ketentuan hukum pidana yang telah dirumuskan sebagai delikKata Kunci : Represif Edukatif, penegakan Hukum Pidana, Ketenagakerjaan dan hukum pidana.
Optimizing brain tumor MRI classification using advanced preprocessing techniques and ensemble learning methods Pardede, Akim Manaor Hara; Zamsuri, Ahmad; Nuroini, Indi; Alkhairi, Putrama
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 6: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i6.pp5106-5119

Abstract

Brain tumor classification is a critical task in medical imaging that directly impacts the accuracy of diagnosis and treatment planning. However, the complexity and variability of magnetic resonance imaging (MRI) images pose significant challenges, often resulting in reduced model reliability and generalization. This study addresses these limitations by proposing a novel ResNet+Bagging model, leveraging the strengths of residual networks and ensemble learning to enhance classification performance. Using publicly available brain tumor MRI datasets, including images labeled as benign, malignant, and normal, the study employs advanced preprocessing techniques such as normalization, data augmentation, and noise reduction to ensure high-quality inputs. The proposed model demonstrated significant improvements, achieving the highest testing accuracy of 72%, outperforming other tested models such as LeNet, standard ResNet, GoogleNet, and VGGNet. Precision (0.6010), recall (0.6000), and F1-score (0.5990) metrics further highlight its superior balance in detecting positive and negative classes. The novelty of this research lies in the application of Bagging to ResNet, which effectively mitigates overfitting and enhances predictive stability in complex medical datasets. These findings underscore the proposed model's potential as a robust solution for brain tumor classification, contributing to more accurate and reliable diagnostics.
Co-Authors Ahmad Zamsuri, Ahmad Alkhairi, Putrama Amalia, Bunga Rizky Aprilia, Denna Avzurni, Iqbal Samsa Budi Endarto Damajanti, Dr. Sisca Utami Djalil, Mochamad Dwiprigitaningtias, Indah Enny Istanti Hananto, Hananto Haryono Haryono Kurniawan, Nicko Diaz Kusumo Negoro, R.M. Bramastyo Miano, Muhammad Ryan Ramadhani Pardede, Akim Manaor Hara Putra, Rengga Kusuma Rahmawati, Diah Ayu Sjuhudi, Ichsan