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Legal Participatory Legal Counseling to Realize Sei Mencirim Village as a Region Free of Violence against Women and Children Junaidi Lubis; Tika Rohani Zega; Delina Giawa; Alexius Saroniat Harefa; Juliya Maria
Jurnal Pengabdian Masyarakat Vol. 7 No. 1 (2026): Jurnal Pengabdian Masyarakat
Publisher : Institut Teknologi dan Bisnis Asia Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jpm.v7i1.2999

Abstract

Purpose: Violence against women and children in Indonesia's rural areas is frequently concealed by cultural normalization and limited access to formal legal tools. Method: This legal counseling activity was carried out in Sei Mencirim Village, Sunggal District, Deli Serdang Regency, The approach method used is counseling involving village officials, community leaders, women and the surrounding community by conducting discussions and questions and answers in accordance with the conditions of the village community. Practical Applications: Practically, this social transformation is realized through the establishment of Village Movement Cadres who actively engage in micro-sharing, safe zone mapping, and enhancing the national complaint channel, as evidenced by real case reports submitted via SAPA 129 after the activities. Conclusion: This study enhances the PAR methodology by translating formal law into local language and empowers rural Indonesian communities as active legal agents.
Legal Protection for Fintech Consumers Trapped in Debt Due to High Interest (Illegal Loans) Chairus Suryati; Debi Masri; Leni Indrayani; Juliya Maria; Sattar Rasul
International Journal For Advanced Research Vol. 2 No. 1: June 2025
Publisher : Outline Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61730/m0wm7x59

Abstract

The rapid development of financial technology (fintech) has increased public access to financial services, especially through online lending platforms. However, this advancement also brings significant legal challenges, particularly in consumer protection. Many individuals have become trapped in debt due to exorbitant interest rates imposed by illegal lenders operating without official licenses and often engaging in abusive collection practices. This research aims to analyze the legal protection available to fintech consumers victimized by illegal high-interest lending and to evaluate the effectiveness of existing regulations, including POJK 77/2016 and other consumer protection frameworks. The study employs a normative juridical approach with qualitative analysis of legislation, court decisions, and case studies. The findings reveal that the current legal framework is insufficient in providing both preventive and repressive protection for consumers. Weak oversight of illegal fintech operators and low financial literacy among the public are key factors behind the ineffectiveness of consumer protection. Regulatory reform, stricter law enforcement, and public education are urgently needed to ensure comprehensive protection for fintech consumers.
Predicting E-Commerce Greenwashing Using Random Forest Machine Learning: Legal Analysis and Marketing Management Strategies Firman Syahputra; Juliya Maria; Hilda Elsera Br Sembiring
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 4 (2026): Research Articles October 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i4.16770

Abstract

The rapid growth of e-commerce and the increasing use of environmental claims in product marketing have created challenges in identifying potentially misleading green marketing communication. This study aims to develop a machine learning framework for predicting greenwashing indications in e-commerce products and interpreting the findings from consumer protection and sustainable marketing perspectives. A dataset of 610 products from Shopee and Tokopedia was independently annotated and validated by two annotators. Product descriptions were processed using Natural Language Processing (NLP) and represented using Term Frequency–Inverse Document Frequency (TF-IDF) with unigram and bigram features. Random Forest was employed as the primary classifier, while Support Vector Machine (SVM) and Multinomial Naive Bayes were used as benchmark models. A leakage-safe feature engineering configuration was additionally evaluated. Model performance was assessed using Accuracy, Precision, Recall, F1-score, confusion matrices, and 5-fold stratified cross-validation. On the independent test set, Random Forest with TF-IDF achieved the highest Accuracy (92.62%) and F1-score (95.81%), while 5-fold cross-validation showed that Random Forest with TF-IDF and Strict Feature Engineering achieved the highest mean Accuracy (95.49%) and F1-score (97.42%). Feature importance analysis identified textual structure and specific lexical patterns as predictive signals associated with model decisions. The findings indicate that the proposed framework can support early screening of potentially misleading environmental claims, consumer protection assessment, and more transparent and verifiable green marketing practices. However, model predictions represent predictive signals rather than causal evidence or legal determinations and require further factual and contextual verification
ATURAN HUKUM TINDAK PIDANA GENG MOTOR OLEH ANAK: Di Desa Bangun Sari Baru Kecamatan Tanjung Morawa Perspektif Hukum Pidana Dan Hukum Islam Apas Pirata; Chairus Suriyati; Leni Indrayani; Juliya Maria
Maqashid: Jurnal Hukum Islam. Vol. 8 No. 1 (2025): Mei 2025
Publisher : Malang Prodi. Ahwal Al-Syakhsiyyah, IAI Al-Qolam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35897/maqashid.v8i1.1893

Abstract

Handling criminal acts involving children in motorcycle gangs is a crucial step regulated by national criminal law and Islamic law with an emphasis on child protection and moral development and the future of these children. The purpose of this study is to evaluate existing legal regulations, identify challenges in their implementation, and analyze efforts made to prevent criminal acts by children in motorcycle gangs in Bangun Sari Village, Tanjung Morawa District. The method used in this study is juridical-empirical with a case study approach, which includes interviews with the police and field data analysis. The research findings show that the preventive approach is carried out through active involvement of families, schools, and communities; the repressive approach is applied as a last resort with the principle of ultimum remedium; while the rehabilitative approach focuses on development and restorative justice. The challenges faced include technical limitations such as facilities and human resources, legal obstacles in aligning regulations, and the social impact of the environment and media. This study concludes that collaboration between preventive, repressive, and rehabilitative approaches is essential to create a supportive atmosphere in preventing deviant behavior in children. The police are implementing preventive measures consisting of preventive efforts, namely actions taken before a crime occurs, as well as enforcement measures, namely actions taken after a crime occurs.