Lampung, a province located at the southern end of Sumatra Island, serves as a gateway for many migrants from different regions in Indonesia. However, some of the locals and tourists still face difficulties in finding the central location for souvenirs due to the  vast number of shops available. The purpose of this research is to assist tourists in finding the shortest distance to the nearest souvenir location using the Floyd Warshall algorithm. The software development method employed in this study is the Prototype, which consists of four stages, namely Communication, Quick Plan, Modeling Quick Design, Construction of Prototype, Deployment Delivery & Feedback. In the Rapid Modeling stage, the Floyd Warshall algorithm is used to determine the shortest distance for users to find the souvenir location. The result of this research is an android-based application that can provide the    nearest souvenir location with the shortest distance around the user.

This research aims to analyze the use of Internet of Things (IoT) technology in the marketing strategy of the oil and gas industry in Indonesia, with a focus on aspects of compliance with applicable oil and gas laws and regulations. The use of IoT technology has brought significant changes in various industries, and the oil and gas sector is no exception. In this context, this research will investigate how IoT technology can be used in oil and gas marketing strategies to improve operational efficiency, supervision, and compliance with oil and gas law regulations in Indonesia. The importance of compliance with oil and gas law regulations cannot be separated from the broader legal framework, namely the 1945 Constitution of the Republic of Indonesia (UUD 1945). The 1945 a Constitution is the Indonesian constitution which establishes the basic principles of the state, including the management of natural resources, including oil and gas, which are in the national interest. In this research, the use of IoT technology in oil and gas marketing strategies will be analyzed by considering the perspective of compliance with applicable oil and gas law regulations, which are part of the legal framework regulated by the 1945 Constitution and support state sovereignty in managing natural resources. Through literature analysis and case studies of the oil and gas industry in Indonesia, this research aims to provide a deeper understanding of the potential use of IoT technology in the oil and gas industry in Indonesia and its implications for compliance with oil and gas law regulations. It is hoped that the results of this research will provide valuable information for oil and gas companies, regulators, and other stakeholders in formulating effective marketing strategies and complying with applicable regulations. In addition, this research also has the potential to become the basis for further research in this field. By understanding and applying IoT concepts in oil and gas marketing strategies that comply with oil and gas law regulations and the principles set out in the 1945 Constitution, a more efficient, controlled, and sustainable oil and gas industry can be created in Indonesia.

Tourism deposits have great potential in prospering the surrounding community and improving the economy. The ability and awareness of the community in managing the tourism potential that exists around is certainly very petrified for the economic life of local residents. The purpose of this research is to find out how Human Resources affect business sustainability. This study uses a quantitative approach with the population of this study is all Batik Micro, Small and Medium Enterprises (MSMEs) in the Krebet Tourism Village Area, Bantul Regency. Simplified sampling techniques. This technique is carried out by selecting samples freely according to the ease and access to data. The results of the study showed that the increase in knowledge did not have a significant effect on the business sustainability variable. Meanwhile, other variables such as HR Skills and Abilities have a significant impact on the business sustainability variable. the Adjusted R Square value is 0.764 or 76.4%. This shows that the improvement of knowledge, skills and abilities of human resources towards business sustainability is 76.4% while the remaining 23.6% is explained by other variables outside the model.

The creative industry is a sector that is growing rapidly in this era of globalization, but the development of the creative industry also poses challenges in protecting Intellectual Property Rights. This research aims to analyze the regulation of Intellectual Property Rights (IPR) in the creative industry from an international legal perspective. The research method used is a normative approach by examining various international legal instruments related to Intellectual Property Rights (IPR). The research results show that the regulation of Intellectual Property Rights in the creative industry still has weaknesses and challenges, especially in terms of law enforcement and protection of copyrights, patents and brands. This research provides recommendations for improving legal regulations related to intellectual property rights in the creative industry, including increasing international cooperation and more effective law enforcement.
 
 

Understanding data processing for young researchers such as students is crucial to completing the final assignment. An important phase in determining research results after data collection in the field is completed is the data processing stage. This stage is often an obstacle for novice researchers due to the limited development of materials from lectures that have been attended previously. Therefore, this community service becomes a medium for solving problems, namely by holding data processing training carried out in the form of a workshop. This data processing workshop is used for data collected through secondary data and primary data which is carried out in providing materials and practices. This workshop uses the SmartPLS software tool, starting with an introduction to the software, terms of use, and data processing practices. This activity is carried out within the STIE Totalwin environment, namely by forming a community service team as a resource person and the activity implementation committee. The training that was carried out can be followed well. The implementation of the data processing workshop can be carried out and run smoothly. The benefits of this activity are felt by all parties involved in this workshop.

This study aims to determine the purpose of this study is to determine the Effect of Fertilizer Use on the Production of Curly Chili in Toriki Village, Anggaberi District, Konawe Regency. The location of this study is in Toriki Village, Anggaberi District, Konawe Regency. The number of samples in this study was 12 farmers. To complete the research objectives using Multiple Linear Regression analysis. Based on the results of the study, it shows that the Use of SP 36 Fertilizer, manure, NPK Pelangi fertilizer and NPK Mutiara fertilizer have a positive and significant effect on the Production of Curly Chili in Toriki Village, Anggaberi District, Konawe Regency. This can be seen from the value of the use of SP 36 fertilizer (X1) of 2.654 with a significance level of t of 0.025 which is smaller than ? = 5%, where (0.025 <0.05). The use of manure (X2) is 3.112 with a significance level of t of 0.012 smaller than ? = 5%, where (0.012 < 0.05). The use of NPK Pelangi fertilizer (X3) is 2.224 with a significance level of t of 0.011 smaller than ? = 5%, where (0.011 < 0.05). The use of NPK Mutiara fertilizer (X4) is 3.143 with a significance level of t of 0.035 smaller than ? = 5%, where (0.035 < 0.05).
 

Industrial Control Systems (ICS) play a critical role in managing infrastructure but are vulnerable to cyber-attacks. This paper presents an AI-driven Intrusion Detection System (IDS) specifically designed for ICS, utilizing a combination of supervised and unsupervised machine learning algorithms. By incorporating real-time anomaly detection and pattern recognition, the proposed IDS identifies potential intrusions while maintaining high accuracy. The experimental results show the system’s effectiveness in detecting cyber threats in real-world ICS environments, providing a scalable solution for enhancing cybersecurity in critical infrastructure.

Business Innovation and Digital Marketing Literacy is important knowledge to improve business development and how to utilize digital marketing among society now and in the future. Good literacy knowledge of business innovation and digital marketing makes people who want to or have even entered the business world able to plan, manage and develop their business. Entrepreneurship is one way that can be done by various groups of people to gain social status in society, improve the community's economy and for investment in the future. The aim of this service is to improve the mindset of good, organized, innovative business development and more contemporary marketing, especially for MSMEs in the Cilacap Regency area. As a result of this activity, it is hoped that the public will gain knowledge regarding how to innovate business development and attractive digital marketing.

Cloud computing faces challenges regarding data integrity and security due to its centralized nature. This paper proposes a blockchain-based data integrity management system that decentralizes cloud data storage and ensures authenticity and traceability. By leveraging smart contracts, the proposed system validates data transactions, prevents unauthorized alterations, and provides a transparent audit trail. Experimental results reveal that the system can maintain high levels of data integrity with minimal latency and computational overhead, offering a practical solution to enhance data security in decentralized cloud environments.

With the rapid development of technology, its use has expanded to all sectors, including education. Artificial Intelligence (AI) plays an important role in providing innovative solutions, mimicking human intelligence, and potentially replacing human roles in several functions. In education, AI has proven to enhance learning motivation and active student participation. YouChat, an AI chatbot based on GPT-3.5, is used as a learning assistant offering features such as answering questions and providing idea suggestions. Observations and literature studies show that this application has great potential to improve students' learning experiences. This thesis aims to evaluate the acceptance of the YouChat application on students' learning experiences in public higher education institutions in Surabaya using the Technology Acceptance Model (TAM). Data were collected from 399 students and processed using the SEM-PLS technique with SmartPLS 3.2.9 software, including outer model, inner model, and hypothesis testing. The thesis results show that perceived enjoyment and perceived informativeness significantly affect attitude, which in turn affects the intention to use. The variable trust also moderates the effect of perceived informativeness on attitude. This thesis provides insights into students' acceptance of the YouChat application in their learning process as an evaluation for improvement, development, and enhancement for both YouChat and educational institutions.