This research was conducted from June to July 2025 in Binjai City, with the primary focus being analyzing the readiness of the Binjai City Regional Disaster Management Agency (BPBD) to implement a flood early warning system utilizing artificial intelligence (AI). The data collection process was conducted through a literature review, which involved reviewing various theories and previous research results regarding the application of AI and Internet of Things (IoT) technology in the context of disaster mitigation. Based on the results of the study, it was found that the use of technologies such as ultrasonic sensors, microcontrollers, fuzzy logic, and automatic notification systems can provide real-time warnings with a high level of accuracy and a fast response. This system enables early detection of rising river levels through automatic measurements, intelligent data processing, and sending notifications to authorities and affected communities within seconds. By integrating historical data and machine learning-based predictions, this system is also able to depict potential flooding before it occurs, providing a longer response time for evacuation. However, the readiness of the Binjai City BPBD still faces various challenges, such as limited digital infrastructure, the need for human resource training in the technology field, and inadequate budget allocation. Therefore, cross-sector collaboration and ongoing policy support are needed for optimal implementation of this system. The use of AI and IoT in early warning systems is not only technically relevant but also urgent in the face of increasing climate change and flood risks. A strategy involving cross-sector collaboration between government, academia, and the private sector is needed to develop an adaptive and sustainable early warning system.

The rapid development of technology has an impact on information packaging. Website is a media used in the information repackaging process to make information more accessible. Website as the main media in distributing and managing information from various sources depending on user needs. Therefore, the website can be an innovation in the library world. This research aims to reveal the strategy and how the use of the website as a digital media has an impact on the dissemination of information packaging. This research method using descriptive qualitative method is used to comprehensively explain the impact of using the website in the data repackaging process at Universitas Perintis Indonesia. The utilization of the website as a process of information packaging at Perintis University is expected to run well and can be utilized as well as possible, so that the information that has been packaged is not in vain presented. However, it can also make it easier to obtain information quickly and relevantly without fear of an information explosion.
 
 

Voting at SMK Plus YSB Suryalaya has traditionally been carried out manually, resulting in a time-consuming process that is prone to errors. Therefore, to improve the efficiency and accuracy of the election process, an online voting system is needed. This research aims to develop a web-based E-Voting system with a Multi-Vote model, allowing voters to vote for multiple candidates across different election categories. This system is designed to simplify the election process at the school, with features such as candidate registration, voter registration, real-time voting, and automatic processing and tabulation of election results. The system was tested using Black Box Testing to ensure its functionality and security, and the results show that the system performs well and meets user requirements. With this system, it is expected that the election process at SMK Plus YSB Suryalaya can be carried out more efficiently, transparently, and with fewer errors.

Skincare Distributor Sr12 is a Distributor that provides herbal beauty products from PT. SR12 Herbal Perkasa. PT. SR12 Herbal Perkasa is a company engaged in the field of herbal & skin care which was established in 2015 by Toni Firmansyah, S. Farm., Apt as the main director, Asrianty Salam, S.Farm as a pharmacist who is responsible for Plant Operational. The Sr12 Distributor Store requires more active and wider marketing to increase sales. To improve marketing, an information system is needed that can make it easier for consumers to find information about product information and marketing of sr12 products. One of the media that is widely used in marketing is a website. A website is a collection of addresses that display interrelated information in the form of text, images, videos, animations, sounds or a combination of all of them that can be accessed using the internet. To build a website, a method is needed. Personal Extreme Programing (PXP) is a software development method that tries to simplify the various stages in the development process so that it becomes more addictive and flexible. Keywords: Information systems, single level, Personal Extreme Programming (PXP)

This research investigates the implementation of Random Forest algorithms combined with Synthetic Minority Over-sampling Technique (SMOTE) to predict elementary school dropout rates in Indonesia, supporting the Indonesia Emas 2045 vision. A significant gap was identified in previous studies, which, despite utilizing artificial intelligence for dropout interventions, had not integrated temporal dimensions into data analysis. A temporal data-based classification model was developed using Indonesian Ministry of Education data from 2021-2023, incorporating lag features, delta calculations, and rolling statistics. Two models were implemented: one with SMOTE achieving 99% accuracy with perfect recall for high-risk regions, while the non-SMOTE model reached 100% accuracy. Temporal features were identified as crucial predictors, reflecting external fluctuations and annual changes impacting dropout decisions. This approach enables educational institutions to allocate resources more efficiently by prioritizing operational assistance for high-risk schools. The model's capacity to identify high-risk regions with 100% recall represents a strategic investment in strengthening Indonesia's human resource sustainability. To address the limitations of provincial aggregate data, expansion to include individual-level variables and model validation at district or school scales is recommended for future research.

The increasingly rapid development of digital technology is pushing MSMEs to adapt to change to remain competitive in the market. One strategic step that can be taken is to adopt a Management Information Sistem (SIM) to support information management, accelerate decision-making processes, and improve business efficiency. This article examines how MSMEs can optimize the use of MIS in their business activities, highlighting the benefits, challenges, and appropriate implementation strategies. The analysis shows that MSMEs' digital capabilities, human resource training, and the availability of technological infrastructure are critical components in supporting the successful optimization of MIS in the digital era.
 

Increasingly fierce business competition forces companies to look for innovations and strategies to maintain customer satisfaction and trust. PT Quinsha Trans Jaya, a tourism transportation services company, faced problems in providing service information and collecting customer feedback. To overcome this, a website-based customer relationship management system is needed. This system is expected to improve operational performance, facilitate purchases, and provide complete information to customers. The development of the system uses the Rational Unified Process (RUP) method and aims to help PT Quinsha Trans Jaya retain and attract new customers. The customer relationship management information system built will focus on service transactions through the website. Then this system has information features related to rentals and purchases as well as available promotions. There is also a reward feature, feedback from customers that helps companies increase customer loyalty.

In the modern era marked by rapid technological developments, enterprise systems play a crucial role in improving business efficiency and competitiveness. This study analyzes the role of enterprise systems in supporting business strategies, increasing productivity, and optimizing the management of company resources. The research method used is a qualitative approach with literature studies and case study analysis from various companies that have implemented enterprise systems. The results of the study indicate that the implementation of enterprise systems, such as Enterprise Resource Planning (ERP) and Customer Relationship Management (CRM), can provide significant benefits in decision making, business process automation, and increased coordination between departments. However, challenges such as implementation costs, system complexity, and the need for employee training are also factors that must be considered in the adoption of this technology. Therefore, the right implementation strategy and adjustment to business needs are key factors in the success of enterprise systems in supporting business development in the modern era.

The rapid development of information and communication technology demands the education sector to strengthen digital literacy, particularly in mastering computer networks. Observations at SMK Taruna Bakti Baturraden revealed that 10th-grade students face difficulties in understanding basic network concepts such as topology, hardware, IP addresses, and the use of Cisco Packet Tracer. This study aims to measure the effectiveness of interactive teaching methods in improving students' understanding. The activities were carried out through stages including observation, module preparation, delivery of interactive materials, and evaluation. The learning process involved participatory presentations, discussions, and hands-on simulations. Evaluation was conducted using quizzes and student reflections. The results showed a significant increase in students' understanding of networking concepts and enthusiasm in learning network technologies. Furthermore, the activity enhanced students' digital literacy through a practical approach and the use of simulation applications. These findings indicate that interactive teaching methods are effective in improving computer network comprehension and can serve as a replicable digital literacy-based learning model in other vocational schools.

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.