Along with the increasing threat of cybercrime, which is predicted to cause losses of up to US$10.5 trillion by 2025 , penetration testing (pentest) has become a crucial strategy for identifying security vulnerabilities. However, the manual pentest process is often time-consuming. This research aims to analyze the role, effectiveness, and challenges of Generative AI (GenAI), specifically GPT-4.1, in accelerating and optimizing the penetration testing process. This research method uses a qualitative approach with a case study on the "PumpkinFestival" VulnHub machine , where GPT-4.1 is integrated into the Kali Linux environment through the ShellGPT tool. The results show that GPT-4.1 can significantly accelerate all stages of the pentest, from reconnaissance to exploitation. GenAI proved effective in analyzing scan results, composing specific payloads, and creating decryption scripts quickly and accurately , while also filling a research gap by evaluating a newer AI model compared to previous studies. The implication is that the integration of GenAI in cybersecurity has great potential to increase the efficiency and effectiveness of security teams in facing increasingly complex threats.

Urinary incontinence (UI) significantly impacts the quality of life in older adults, often resulting from multifactorial causes, including age-related changes and systemic health issues. Emerging evidence highlights the role of lipid metabolism in influencing bladder and pelvic floor function through vascular integrity, inflammation control, and tissue repair. Lipid parameters, such as apolipoproteins, HDL, LDL, total cholesterol, triglycerides, and their ratios, provide insights into metabolic health and its association with UI. This study aims to identify specific lipid-related predictors, advancing the understanding of metabolic factors in UI and informing targeted prevention and management strategies for aging populations. This study used multiple linear regression analysis to assess the relationship between lipid panel predictors and urinary incontinence in 93 elderly respondents at Bina Bakti Nursing Home. The analysis identifies apolipoprotein B, Apo B/Apo A ratio, total cholesterol, and triglyceride-to-HDL ratio as significant predictors. These variables actively influence urinary incontinence through metabolic and vascular pathways, with both positive and negative associations. Apolipoprotein B, Apo B/Apo A ratio, total cholesterol, and triglyceride-to-HDL ratio predict urinary incontinence, highlighting lipid-related impacts on vascular health, inflammation, and tissue integrity for improved risk stratification.

An important aspect that needs attention to support success in the learning process is the teacher's competency. One of the key competencies required by teachers is mastery of technology, which supports the development of TPACK (Technological Pedagogical Content Knowledge)-based learning. Additionally, mastery of technology can help develop learning media and serve as a learning aid. One of the software that can be used as an option for learning media is Octave. Octave is open-source software, allowing teachers to access it for free. It can be used as a medium/teaching tool to explain various mathematical concepts, such as functions, function limits, derivatives, integrals, and more. This training was attended by high school teachers and took place at Al Bayan Superior High School, Sukabumi Regency. During the training, participants were taught how to use Octave in mathematics instruction to enhance teacher competency. The results of the training show that the use of Octave can support learning in schools by boosting teacher competency and inspiring teachers to become more professional. This, in turn, leads to improved learning quality in schools, which ultimately enhances the overall quality of education.

The Industrial Internet of Things (IIoT) enhances the connectivity and efficiency of living lifestyles. However, it also comes with significant security vulnerabilities. Traditional authentication methods are often inadequate, leading to IIoT devices opened to security threats. This paper proposes a comprehensive security framework integrating blockchain, cryptographic techniques, smart contracts, and deep learning-based Intrusion Detection Systems (IDS) to tackle the mentioned issue. Blockchain ensures data integrity and prevents tampering through a decentralized ledger. A decentralized device identity management system enhances user verification, while secure communication protocols using Hash-based Message Authentication Codes (HMAC) safeguard data integrity. Smart contracts automate transactions, providing transparent, secure record-keeping without a central authority. The deep learning-based IDS, utilizing Contractive Sparse Autoencoder (CSAE) and Attention-Based Bidirectional Long Short-Term Memory (ABiLSTM) networks, effectively detects cyber threats. Evaluation metrics, including precision, recall, F1-score, and False Acceptance Rate (FAR), demonstrate high accuracy and low false alarm rates across datasets. This framework addresses the need for secure, efficient, and scalable authentication in IIoT, combining blockchain's security features with advanced cryptographic and anomaly detection techniques, offering robust defence against cyber threats.

Indonesia is one of the countries in Southeast Asia rich in nickel reserves, so this has become an attraction for foreign investors to compete to invest amid a drastic increase in market demand for lithium batteries for electric vehicles. Tesla, Inc. became one of the investors who showed interest in the potential for establishing a lithium-ion battery factory for electric vehicles. Indonesia is aware of Tesla's enthusiasm in trying to conduct intense negotiations and lobbying because these MNCs have several advantages in terms of advanced features and acceleration, as well as adhering to green principles. The author's aim in raising this issue is to reflect on Indonesia's long process of building government-to-business negotiations and lobbying with Tesla, where Indonesia sees this opportunity as a step to pursue national interests. The method used in this research is based on a literature study through secondary data collection. The findings from this research are that both Indonesia and Tesla use a rational approach and integrative strategy in negotiating investment cooperation. However, Indonesia's optimistic attitude is reflected in experiencing various challenges, including competition from competitors from other countries and unsustainable nickel mining problems.

This article explores the relationship between mental health outcomes and social determinants of health among immigrant populations. By analyzing survey data, the research identifies key factors such as socioeconomic status, access to healthcare, and social support that influence mental health. The findings suggest that addressing social determinants is essential for improving mental health outcomes and providing effective support services for immigrants.

Green open space is a combination of several wide and wide spaces, green open space is also a place that is open in rural areas where there are plants, children's playgrounds, gajebo which have benefited people in rural areas directly or indirectly in a rural area. The green open space in the Bulurejo Village area has been managed by youths who form a community called My Lepen in utilizing the open land and then making it a green open space in fulfilling the interests of the people in Bulurejo Village. Green open space is a means of protecting plant ecosystems because nowadays green plants have been replaced by many residential buildings. it is very necessary to protect the ecosystem of green plants because green plants can make the environment beautiful and beautiful and for the convenience of the community.

The outbreak of Covid-19 in 2020 has brought downturn to the global economy and many companies went bankrupt during the epidemic. However, according to Unilever's financial report for the first half year, its sales fell only by 1.6% and its financial situation is still stable. The reason for it is not only for Unilever's action of taking Covid-19 as normalization, but also for its differentiation strategies, which make Unilever a competitive enterprise when the consumer products are in demand in Covid-19. Through the literature research method, this article uses the combination of SWOT (strengths, weaknesses, opportunities and threats) and PEST (political, economic, social and technological factors) models to explore the internal and external environments of Unilever in 2020, and concludes that under the multiple impacts of the external environment, Unilever still has great opportunities to make development relying on its own excellent internal conditions.

Tulisan ini membahas tentang Homstay Batam, sebuah tempat penginapan yang berlokasi di Kota Batam, Kepulauan Riau. Penulis memilih Homstay Batam sebagai studi kasus karena bisnis penginapan sebagai perusahaan jasa memiliki alur rantai pasok sumber daya yang berbeda daripada perusahaan produk. Enterprise Resource Planning dan Supply Chain Management menjadi fokus utama dalam tulisan ini, dimana supply chain merupakan pengelolaan berbagai kegiatan untuk memperoleh bahan mentah yang ditransformasi menjadi sebuah produk dalam suatu proses dan dilanjutkan dengan pengiriman pada para konsumen melalui distribusi. Tahapan-tahapan dalam supply chain management meliputi perencanaan, proses, produksi, penyimpanan, pengiriman, dan pengembalian barang. Entrerprise Resource Planning dilaksanakan dengan bantuan media sosial. Disimbulkan bahwa Homstay Batam sudah melakukan pembagian dan pendistribusian perencanaan sumber daya yang tepat agar bisnis dapat berjalan dengan optimal dan menghasilkan laba yang maksimal.

The inflation and the unemployment rate can be used as benchmarks for whether a region's economy is good or bad. This study aims to analyze how the government's policies related to the threat of unemployment after rising inflation. The object used in this study is Batam City and analyzed using secondary data from 2017 – 2022 obtained from BPS and other supporting sources. From the results of this analysis, it is known that the unemployment rate in Batam City has been handled quite well due to a decrease although overall it is still high. Meanwhile, the inflation rate in Batam City is also in the good category and can still be controlled. Therefore, it can be concluded that the inflation rate can affect the rise and fall of the unemployment rate accompanied by certain other factors.