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This study uses an integrated analysis of positive law and Islamic law at Polres Bungo to investigate the reconstruction of sanctions for juvenile offenders during the investigation stage. Empirical trends suggest a procedural and administrative orientation that may restrict substantive rehabilitation, even though Undang-Undang Nomor 11 Tahun 2012 tentang Sistem Peradilan Pidana Anak (Juvenile Criminal Justice System Act) formally adopts restorative justice, diversion, and the best interests of the child as guiding principles. Using a multidisciplinary approach that integrates statutory, theological-normative (shar‘i), and historical considerations, this study uses a normative qualitative design based on library research. The theoretical framework incorporates maqāṣid al-sharīʿah as a normative evaluation instrument, legal effectiveness theory, and punishment theories. The findings reveal a conceptual convergence between Indonesian positive law and Islamic criminal jurisprudence in differentiating criminal responsibility based on maturity and prioritizing rehabilitation over retribution. There are still differences, nevertheless, when it comes to age criteria and the classification of sanctions: Islamic law places more emphasis on moral and biological maturity (baligh and tamyīz), whereas positive law focuses on strict legislative boundaries. The predominance of formal legality over psychosocial assessment at the investigative level runs the risk of undermining rehabilitative goals. In order to maintain proportionality and child protection, this study suggests a reconstructive paradigm that operationalizes maqāṣid-based principles, combines thorough psychological evaluation, and improves diversion measures. In addition to realistically advancing the creation of a more equitable, rehabilitative, and child-centered investigative framework, the research theoretically advances the conversation about harmonizing state and Islamic law.

The North Sumatra Aceh National Sports Week (PON) which will be held in September 2024 in Papu, North Sumatra has drawn many pros and cons from the public. This topic allows the public to provide criticism, suggestions and opinions regarding the 2024 North Sumatra Aceh PON. Instagram is a popular social media for conveying public opinion. The sentiment analysis process can find and resolve problems based on public opinion on social media such as Instagram. The classification method used in this research is the Naïve Bayes Classifier. Datasets can be obtained from the data crawling process using the Google Chrome extension: IGCommentExport. The data is labeled positive, neutral, or negative. The results of the labeling process showed 770 negative data, 256 neutral data and 920 positive data. Then pre-processing is carried out on the data that has been previously labeled, and a word weighting process is also carried out using TF-IDF. After that, modeling was carried out using the Naïve Bayes Classifier and the final process was evaluation-testing. The high accuracy results from the fourth experiment which compared 90% of the training data with 10% of the testing data resulted in an accuracy of 75%. Meanwhile, the sentiment test results show that positive sentiment is more numerous than negative sentiment and neutral sentiment.