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This study aims to examine the normative construction and practical implementation of criminal sanctions against narcotics abusers from the perspectives of Islamic criminal law and Indonesian positive law, as well as to formulate an integrative policy model that is more just, humane, and context-sensitive in Bungo Regency. Narcotics abuse constitutes a multidimensional problem involving legal, social, moral, and public health dimensions. Therefore, a comprehensive approach is required to integrate the normative values of Islamic criminal law with the national legal system. This research employs a normative-empirical approach using comparative legal analysis, examining statutory regulations, doctrines of Islamic criminal law, and law enforcement practices at the local level. The findings indicate that Islamic criminal law frames narcotics abuse within the protection of maqāṣid al-sharī‘ah, particularly the preservation of intellect (ḥifẓ al-‘aql) and life (ḥifẓ al-nafs), thereby emphasizing not only punitive but also educational and rehabilitative orientations through the instrument of ta‘zīr. Meanwhile, Indonesian positive law, particularly Law No. 35 of 2009 on Narcotics, provides legal space for rehabilitation; however, its implementation still encounters structural and cultural challenges. This study concludes that integrating Islamic criminal law principles with the national legal framework may produce a more responsive sentencing model that upholds substantive justice, human rights protection, and effective narcotics control. Policy reformulation grounded in religious values, restorative approaches, and social rehabilitation is recommended as a strategic direction for national criminal law reform.

This research examines Islamic legal protection for victims of social engineering crimes within the context of cybercrime. Social engineering is a form of digital crime that exploits psychological manipulation and trust to obtain personal data, system access, or financial benefits. Such crimes cause not only material losses but also immaterial harm, including psychological trauma, violations of privacy, dignity, and personal security. However, positive legal frameworks tend to prioritize offender punishment, while victim protection and recovery remain insufficiently addressed. This study adopts a qualitative approach with a normative-juridical research design, complemented by limited empirical insights. Data were collected through library research on Islamic legal sources—namely the Qur’an, Hadith, and fiqh jināyah—alongside statutory regulations on cybercrime and selected interviews with legal scholars and practitioners. The analysis employs a descriptive-analytical method grounded in the maqāṣid al-sharī‘ah framework, particularly the principles of ḥifẓ al-māl (protection of property), ḥifẓ al-‘irḍ (protection of dignity), and ḥifẓ al-nafs (protection of life and psychological security). The findings demonstrate that Islamic law provides a robust normative foundation for protecting victims of social engineering crimes. Such protection extends beyond retributive punishment through ta‘zīr and emphasizes restorative justice by prioritizing victims’ rights restoration, offender accountability, and public welfare. Islamic law is both adaptive and relevant in addressing contemporary cybercrime challenges and may serve as a humanistic, just, and responsive model for victim protection in the digital era.

Particularly in emerging nations, corporate environmental criminality poses a serious threat to environmental justice, sustainable development, and legal responsibility. With a focus on corporate crime theory and green criminology, this study critically analyzes corporate environmental crime using an integrative framework that blends modern criminological viewpoints with Islamic criminal law (fiqh al-jināyah). This study examines how Islamic legal concepts, particularly the doctrine of maqāṣid al-sharī‘ah, can enhance current models of corporate criminal responsibility and environmental governance using a normative-analytical and conceptual approach. The results show that structural incentives, lax enforcement, and profit-driven rationalization tactics make traditional regulatory and penal measures ineffective at discouraging corporate environmental malfeasance. Islamic criminal law provides a revolutionary framework that places environmental conservation as both a legal requirement and a moral necessity because of its strong ethical orientation and comprehensive view of justice. With a focus on ecological balance (ḥifẓ al-bi’ah), property (ḥifẓ al-māl), and life preservation (ḥifẓ al-nafs), this study offers a value-based corporate accountability approach that goes beyond deterrence-oriented punishment and prioritizes prevention, restoration, and social responsibility. By broadening the doctrinal scope of Islamic criminal law to acknowledge corporate criminal culpability, this integrative approach makes a theoretical contribution. Practically, it informs regulatory enforcement and environmental policy change. The study presents an interdisciplinary paradigm that unites criminological analysis and religious legal reasoning, providing a strong basis for creating environmental governance systems that are just, moral, and sustainable, especially in developing nations and jurisdictions with a majority of Muslims.

This Community Partnership Program (PKM) aims to improve the competence of mathematics teachers at Madrasah Tsanawiyah (MTs) in Lumajang Regency in developing ethnomathematics-based teaching materials integrated with Augmented Reality (AR) technology. This program was initiated due to the minimal use of local culture in mathematics learning and the low ability of teachers to develop innovative teaching materials. The activity was carried out in four main stages: socialization, training, technology application, and mentoring and evaluation. The training included an introduction to the concept of ethnomathematics, the preparation of differentiated teaching materials, and the creation of AR-based learning media using Unity 3D, Blender, Geogebra, and Vuforia. The results of the activity showed an increase in teachers' understanding of the concept of ethnomathematics and their ability to integrate the local cultural values of Lumajang into mathematics learning. In addition, teachers successfully produced contextual AR-based interactive teaching materials in line with the spirit of the Merdeka Curriculum. This activity also strengthened collaboration between lecturers, students, and teachers of the MTs Wilker III Mathematics MGMP and became a model for continuous training in the development of innovative learning media based on local wisdom and digital technology.

The employee attendance system is a crucial component of human resource management, particularly for performance evaluation, salary calculation, and discipline monitoring. PDAM Tirtanadi North Sumatra still employs a manual attendance system, which is considered inefficient, prone to errors, and slows down administrative processes. This study aims to develop a web-based attendance application to improve the accuracy and efficiency of employee attendance data management. The research method uses software engineering with the System Development Life Cycle (SDLC) model based on the waterfall approach. Data collection was conducted through observation, interviews with relevant stakeholders, and literature review. The application is designed with several key features, including user authentication, digital attendance recording, employee data management, attendance recap, and report generation in PDF formats. Testing results show that the application operates according to system requirements and positively impacts the efficiency of the attendance process. The implementation of this application is expected to accelerate administrative procedures, enhance accountability, and provide a more accurate data foundation for analysis and managerial decision-making.

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.