This study aims to analyze the economic and social impacts within the environmental context on the sustainability of catfish farming in Basanah Village. Environmental issues such as water quality, land availability, and land-use changes have significantly affected aquaculture practices. Moreover, the social dynamics of the surrounding community, including patterns of cooperation, public perception of catfish farming, and economic impacts on farmers’ income and welfare, are central to the investigation. This research employs a descriptive qualitative approach through field observations, in-depth interviews, and documentation involving local farmers, community leaders, and relevant stakeholders. The findings reveal that economic aspects, such as production cost efficiency and income improvement, are highly dependent on stable environmental conditions and strong social support. Conversely, environmental degradation and weak social participation hinder business development. Therefore, participatory-based policies integrating sustainable environmental management with the strengthening of local socioeconomic capacities are urgently needed. This study offers a significant contribution as a foundation for formulating empowerment strategies for environmentally and socially-based small-scale aquaculture enterprises at the village level.
 

This research presents a hybrid intrusion detection approach that integrates Generative Adversarial Networks (GANs) for synthetic data generation with Random Forest (RF) as the primary classifier. The study aims to improve detection performance in cybersecurity applications by enhancing dataset diversity and addressing challenges in traditional models, particularly in detecting minority attack classes often underrepresented in real-world datasets. The proposed method employs GANs to generate synthetic attack samples that mimic real-world intrusions, which are then combined with real data from the UNSW-NB15 dataset to create a more balanced training set. By leveraging synthetic data augmentation, our approach mitigates issues related to class imbalance and enhances the generalization capability of the classifier. Extensive experiments demonstrate that RF trained on the combined dataset of real and synthetic data achieves superior detection performance compared to models trained exclusively on real data. Specifically, RF trained solely on the original dataset achieves an accuracy of 97.58%, whereas integrating GAN-generated synthetic data improves accuracy to 98.27%. The proposed methodology is further evaluated through comparative analysis against alternative classifiers, including Support Vector Machine (SVM), XGBoost, Gated Recurrent Unit (GRU), and related studies in the field. Our findings indicate that GAN-augmented training significantly enhances detection rates, particularly for rare attack types, while maintaining computational efficiency. Furthermore, RF outperforms other classifiers, including deep learning models, demonstrating its effectiveness as a lightweight yet robust classification method. Integrating GANs with RF offers a scalable and adaptable framework for intrusion detection, ensuring improved resilience against evolving cyber threats.

According to the Indonesian Internet Service Providers Association (APJII) in 2018, approximately 49.52% of all internet users in Indonesia are aged between 19 and 34 years, with the majority of this age group being students. Prolonged computer use can lead to higher levels of asthenopia compared to other types of work. This study aims to examine the correlation between computer usage duration and the occurrence of asthenopia among students. A correlational design with a cross-sectional approach was employed in this study. A total of 76 participants were included, and data were collected via a questionnaire distributed online using Google Forms, which the respondents completed. The collected data were then analyzed univariately and bivariately using SPSS software. The results indicate that the majority of respondents experienced mild asthenopia, with a percentage of 78.9%. Statistical analysis showed no significant relationship between gender, duration of computer use, eye break intervals, history of major eye diseases, and medication consumption with the occurrence of asthenopia (p>0.05). However, a significant relationship was found between age and the occurrence of asthenopia (p<0.05).

Criminal act Terrorism is a form of crime or serious violation human rights at the international level because it seriously endangers security and peace world . T he crime of terrorism which occurred in the territory of the unitary state of the Republic of Indonesia has resulted in loss of property and property and causing fear in society at large, thus having an impact on social life, economics, politics and international relations . One of the main factors supporting acts of terrorism is the existence of funding, meaning that terrorist activities will not take place if there are no funds. Therefore, it is very important to eradicate criminal acts of terrorist financing in order to minimize the occurrence of acts of terrorism. The research method used is normative legal research, namely legal research that uses secondary data by using a statutory approach and a conceptual approach . The data processing and analysis technique used in this research is a qualitative technique using deductive logic in order to draw conclusions from the problem formulation that has been described. The aim of this research is to determine the methods of collecting funds carried out by corporations for terrorism financing in Indonesia and to determine corporate responsibility for criminal acts of terrorism financing in Indonesia.
 
 
         
 

Penelitian ini membahas konsep belajar dan menuntut ilmu dari sudut pandang Islam, berdasarkan Al-Qur'an dan Sunnah. Pendidikan adalah bagian penting dari kehidupan manusia. Dalam Islam, pendidikan difokuskan pada pengembangan pengetahuan dan akhlak yang baik. Tujuan utama pendidikan Islam adalah mencapai kesempurnaan moral, dan pendidikan berfungsi sebagai alat untuk mencapainya. Dalam artikel ini, subjek pendidikan dan etika menuntut ilmu dibahas dengan menggunakan sumber-sumber Islam. Analisis isi kualitatif digunakan sebagai metode penelitian; data utama berasal dari Al-Qur'an dan Sunnah, serta data sekunder dari literatur yang relevan. Hasil analisis menunjukkan bahwa Islam menekankan pentingnya pendidikan yang menyeluruh yang mencakup aspek akademik, moral, dan spiritual. Objektif pendidikan, cara belajar, dan peran guru dalam Islam adalah beberapa topik diskusi. Tujuan dari penelitian ini adalah untuk meningkatkan pemahaman kita tentang perspektif Islam tentang proses belajar dan menuntut ilmu, serta implikasinya untuk praktik pendidikan modern.

This research aims to examine the legality and quality of the bottled drinking water product under the AIDRAT brand. Product legality refers to compliance with applicable laws and regulatory standards, while product quality refers to the product's ability to meet consumer expectations and needs. The research employs a qualitative approach with a literature study method, which involves understanding and studying relevant theories from various literature sources. The research results show that AIDRAT beverages have met the legality requirements, such as having a distribution permit from BPOM (Indonesia's Food and Drug Administration), halal certification from LPPOM MUI (Indonesian Ulema Council's Food, Drug, and Cosmetics Study Institute), and compliance with the Indonesian National Standard (SNI). In terms of quality, AIDRAT beverages use natural mountain spring water processed with modern technology, such as reverse osmosis, to maintain purity and freshness. These beverages are also rich in oxygen and do not contain preservatives or artificial additives. The conclusion of this research is that AIDRAT bottled drinking water is a product that has met all safety and quality requirements, both in terms of legality and product quality.