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This research emphasizes the importance of health for every individual, as good health facilitates daily activities. One crucial aspect of health is physical health, which includes being free from various diseases. With the increasing public interest in traditional medicine, the information regarding the public's knowledge about traditional medicine also needs to be enhanced. Therefore, this research aims to develop a mobile-based traditional medicine information system at UPKM/CD Bethesda YAKKUM as an information medium for the wider community. The method used for system development in this research is the waterfall method, which involves stages such as concept, design, data collection, creation, and testing. The developed application is a mobile-based traditional medicine information system, designed to help introduce traditional medicine in Indonesia. This application is designed to be easily accessible without the need to worry about internet connection or data charges, and it can be used in various regions. The result of this research is a mobile-based information system application that provides information about traditional medicine for various diseases. This application includes information on types of medicinal plants, their benefits, and explanatory videos, making it easier for the public to learn about and understand traditiona l medicine.

This research aims to examine the influence of digital literacy on elementary school students' interest in reading and writing during the Covid-19 pandemic. This research is qualitative research using the systematic literature review (SLR) method. Information is taken from the Google Scholar database for the last 5 years, viz. between 2020 and 2024 in full text format. The research results show that the Covid-19 pandemic has had a significant impact on elementary school students' education, especially in distance learning. Obstacles faced include lack of facilities, slow internet connection, and lack of direct interaction. Parents and teachers also face the challenges of costs, adapting to technology, and difficulty controlling and understanding students. However, online learning opens up opportunities for innovation and collaboration between parents, teachers and the community. Research also shows that the pandemic affects elementary school students' digital literacy and reading interest. Rahman found an increase in reading ability despite obstacles. Mirnawati identified the challenges and opportunities of online learning. Siroj noted that good digital literacy increases interest in reading. Andarini concluded that digital literacy at the UPI Serang Pilot Laboratory Elementary School was going quite well. Salsabillah revealed the negative impact of online learning on literacy and numeracy. Ayuniar highlighted the important role of teachers in teaching reading skills. Solahudin identified internal and external factors that influence students' reading interest. Anam emphasized the need for educational updates and technological support during the pandemic.

Internet of Things (IoT) is an era that connects devices and enables smarter and more connected interactions via the internet. In this era, CCTV is very necessary to monitor the condition of the room (house). This CCTV aims to monitor the room (house) when we as the owner are outside so that we feel safe. This time the researchers combined the implementation of CCTV and IoT using a localhost website with the aim that we as owners can access wherever we are without reducing the clarity of the resulting image quality. Researchers chose Web Localhost because Web Localhost uses the internet as its working system, and does not reduce the quality it obtains.    

The purpose of this writing is to find out the integration of character education into the Islamic education curriculum and learning strategies. The method of this writing using library research method is an approach used to collect information from data from various sources such as articles from the internet and several librarycatalogs this method includes a review of literature searches and documentation that is relevant to the topic of research or certain interests. From the results of thisstudy it can be concluded that the integration of character education into the Islamic education curriculum (Strategy and Results) is very important in developing the moral and ethical values of Islamic education which aims to form a good student personality

This paper explores the Time-Based One-Time Password (TOTP) authentication mechanism enhanced with lightweight cryptographic algorithms, presenting it as an advanced solution to the limitations of traditional OTP systems. There are a lot of applications and systems where this mechanism is applied. For example, bank applications, e-commerce websites, access control system, healthcare system, etc. TOTP generates dynamic, time-sensitive passwords using the current time and a secret key processed through a cryptographic hash function, significantly improving security by reducing vulnerabilities to code reused and interception. The adoption of lightweight algorithms ensures that TOTP can be efficiently implemented on resource-constrained devices, such as those on the Internet of Things (IoT) ecosystem. Despite its benefits, TOTP faces challenges including synchronization issues between client devices and servers, and a trade-off between computational efficiency and security strength. This paper discusses the implications of these challenges and evaluates how TOTP, with appropriate design considerations, can provide a robust, secure, and efficient authentication method suitable for various applications, from digital banking to IoT environments.

Korean fever or often referred to as the Hallyu Wave is now continuing to grow along with technological developments and ease of internet access. Dikta and Law, by Dhia'an Farah, is one of the many popular fiction stories that is fortunate to be currently being broadcast as a series on WeTV. However, behind the success of the Dikta and Hukum story, there was controversy that arose. The name Jeno, one of the characters in the story Dikta and Hukum, has become a debate on social media, especially for NCT Dream fans. The reason is, Jeno is the stage name of one of the members of NCT Dream (Lee Jeno) and is considered to be used illegally in the Dikta and Hukum series. This controversy arose because the novel writer and series production party used the name Jeno without the permission of the name owner or his agency, namely SM Entertainment. This research aims to analyze copyright protection for the use of names and visuals of Korean artists (SM Entertainment) in the novel and series "Dikta and Hukum". This research uses qualitative methods with an exploratory study approach. Copyright regulations for the use of artists' names and visuals in literary works, novels and TV series are contained in Article 43 of Law no. 28 of 2014 concerning Copyright point d only states that the distribution of copyrighted content is not commercialized, it does not constitute a Copyright violation. Apart from that, this issue is also regulated in the Constitution of the Republic of Korea in Copyright Act Article 137. Dikta and Hukum works in both novels and TV series are both considered to violate copyright because of the use of the artist's name on the character and the artist's photo as promotional content. Even though the Dikta and Law case did not reach the court table, issues related to copyright violations in the K-pop world must continue to be raised and strict action will be taken against violators because it has become a habit that is considered permissible for many people.    

The Internet of Things (IoT) phenomenon is centered around linking various devices and objects to the Internet, enabling them to communicate, collect, and exchange data [1]. The IoT needs strong, lightweight, and secure authorization schemes to regulate many devices with varying levels of ability. Quantum-resilient federated Multi-Factor Authentication (QRF-MFA) is a solution presented in this paper to address the above-discussed issues. Featuring quantum-resistant cryptographic protocols, high-speed and low-energy Physically Unclonable Functions (PUFs), decentralized identity management, and optimized communication protocols, QRF-MFA provides a complete solution for secure cross-domain device identification and authentication. This is done by leveraging blockchain technology for immutable and transparent management of identities yet limiting on-chain storage overhead. It also provides secure, lightweight communication well-suited for resource constrained IIoT devices, and it is designed for fog and edge computing environments as well. QRF-MFA eliminates the challenges of current methods by combining security, efficiency, and scalability and delivering a resilient and future-ready solution to secure IIoT authentication.  

The rapid advancement of Industrial Internet of Things (IIoT) technology necessitates robust authentication solutions to ensure security, scalability, and efficiency. This project, titled "Enhancing Security in Industrial IoT: Authentication Solutions Leveraging Blockchain," examines various blockchain-based authentication methods for IIoT and identifies their strengths and weaknesses. Despite the enhanced security and decentralized nature of blockchain, issues such as scalability, high latency, and computational load persist. To address these challenges, we propose the integration of Multi-Factor Authentication (MFA) as a supplementary solution. MFA can distribute the authentication load, enhance flexibility and security, and reduce latency by utilizing quick-to-verify factors. Moreover, MFA ensures high availability and scalable storage and processing through cloud services, seamlessly integrating with existing systems to provide a superior user experience. This comprehensive approach not only mitigates the inherent limitations of blockchain technology in IIoT but also reinforces the overall security framework, ensuring resilient and efficient authentication mechanisms. The results demonstrate significant improvements in system performance and user satisfaction, establishing MFA as a viable enhancement to blockchain-based IIoT security solutions.

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.

With the rapid expansion of the Industrial Internet of Things (IIoT), integrating devices, machines, and systems to optimize operations and enable data-driven decision-making, ensuring robust security measures is essential. While blockchain has shown the potential to upgrade traditional authentication methods in IIoT environments, vulnerabilities persist. This paper introduces two innovative methods to enhance blockchain-based authentication in IIoT: first, integrating AI-driven anomaly and threat detection into the blockchain authentication scheme; second, implementing Ethereum smart contracts for enhanced authentication with a two-factor authentication (2FA) system and GFE algorithms. By combining AI for anomaly detection with decentralized smart contracts and blockchain-based 2FA, and leveraging GFE algorithms to enhance blockchain capabilities, the proposed scheme aims to significantly fortify security measures. This integration offers a resilient defense against evolving threats, ensuring transparency, adaptability, and heightened security in IIoT applications.

This research aims to analyze the breakfast habits of teenagers at SMK Negeri 3 Bogor. The impact of skipping breakfast is that it causes weight gain, increasing the risk of disease. The recommended breakfast time is 7 or 8 in the morning because they have enough time for breakfast. According to most students, breakfast is a healthy lifestyle and affects their concentration and enthusiasm for studying at school and so that students have a strong immune system. The data collection technique in this research is by distributing a questionnaire which is distributed via the Google Form application which contains 16 statements that have passed validation tests and reliability tests. Other data collection was carried out by reading literature books, the internet, and articles related to the problem topic. The number of respondents in this study was 188 people, 46 men with a percentage of 24.5% and 142 women with a percentage of 75.5%. The indicators contained in the questionnaire include the benefits of breakfast, the impact of breakfast, the time of breakfast, the variety of breakfast, the type of breakfast consumed, and the amount of breakfast. Based on the results of this research, it can be concluded that many factors influence the breakfast habits of teenagers at SMK Negeri 3 Bogor.

This study examines the role of the Sukabumi District Police (Polres) in tackling online prostitution cases based on Law Number 21 of 2007 concerning the Eradication of Human Trafficking Crimes. Online prostitution has rapidly developed with the advancement of information and communication technology, where perpetrators use social media and messaging applications to offer sexual services anonymously. This study employs a qualitative method with a normative juridical approach, involving in-depth interviews with police officers, legal document analysis, and field observations. The results indicate that the Sukabumi District Police face various challenges, including limited human resources and technology, as well as difficulties in cooperating with internet service providers. Nevertheless, the Sukabumi District Police have implemented various strategies, such as enhancing digital forensics capabilities and public awareness campaigns, to address these issues. The study concludes that law enforcement against online prostitution requires collaborative efforts between law enforcement officers, internet service providers, and the community. The recommendations generated include increasing the capacity of police personnel in digital forensics and improving cross-agency cooperation for more effective law enforcement.

The Industrial Internet of Things (IIoT) faces various challenges in ensuring secure communication, authentication, and data integrity due to its distributed nature and evolving threat landscape. To address these issues, this paper proposes the integration of blockchain authentication as a robust solution to enhance security and reliability in IIoT networks. By leveraging Federated Learning with blockchain technology, the proposed solution aims to improve authentication mechanisms by training models across multiple edge devices, increasing fault tolerance, and adaptability while reducing the risk of single points of failure. The use of blockchain technology ensures a tamper-proof and transparent ledger for securely storing authentication data and model updates, enhancing security and integrity in IIoT networks. The results and analysis demonstrate that the integration of Federated Learning and blockchain technology effectively addresses interoperability issues, performance optimization concerns, and security vulnerabilities within IIoT networks, offering a more efficient, secure, and scalable authentication alternative.

Apart from having an eclectic, universal nature, Tagmemik studies can also be used to analyze language such as the phrases "banana chips" and "tiwul rice". So, the aim of this research is to describe the tagmemes in the phrase banana chips and describe the tagmemes in the phrase nasi tiwul. This research method uses a qualitative research approach and descriptive research type. The researcher's presence will be in May, June 2024. The research setting is this research. The research data is language in the form of banana chips phrases and tiwul rice phrases. The research data source is a researcher who lives in Punung subdistrict, Pacitan district with the name Yeni Utami. Secondary data sources are Mrs. Suparni who has made tiwul rice, Mrs. Suwatmi who sells tiwul rice at the Margo Mulyo Punung market, the internet pacitanku.com, and prabangkanews.com as sources for the phrase tiwul rice while the secondary source for the phrase banana chips is the written language of banana chips "sweet crunchy" Mrs. Sri Wahyuni ​​Pagutan, Pringkuku, Pacitan. The data collection procedure is by listening through field observations and internet observations. Then also use advanced note-taking techniques by using the data as the research object in the title. Data analysis technique by connecting tagmem theory with the data or research object stated in the title, namely banana chips and tiwul rice. Data validity techniques using theory triangulation and research method triangulation. Presentation of data using ordinary or formal language. The results of the research describe how slot, class, role, and cohesion are in the phrase "banana chips" and the phrase "tiwul rice" and the result is that it is true that a phrase is a noun phrase. Each phrase "banana chips" and the phrase "tiwul rice" in the slot section has a core and extra-core function. The class dimension has the form of basic morphemes, nouns, and has a subclass of noun phrases. The dimension of the role as a perpetrator or sufferer which has a function as a subject with the role of sufferer. The cohesion dimension can function as a filler for clauses that are transitive, intransitive or equative. Both as fillers for subject and object clauses. Suggestions for further research are that language researchers should use research objects in the form of data on phrases or clauses that are commonly used in everyday life, whether culinary, cultural, religious and social. So, research directly examines the language or uses research objects in the form of language.

The Industrial Internet of Things (IIoT) has revolutionized industrial processes, offering automation and data-driven decision-making. However, this interconnectedness brings new security challenges, especially in crucial infrastructure sectors. Traditional security measures are inadequate, leading to the exploration of innovative solutions. Blockchain technology has emerged as a promising solution due to its decentralized and immutable nature. This paper proposes a Hybrid Blockchain-Based Authentication Mechanism for IIoT, combining Delegated Proof of Stake (DPoS) and Elliptic Curve Cryptography (ECC). The hybrid architecture utilizes public and private blockchains to ensure scalability, efficiency, and security. Lightweight consensus algorithms, DPoS, are incorporated to optimize performance, while ECC provides efficient cryptographic techniques suitable for IIoT environments. An interoperable framework facilitates seamless integration with existing infrastructure, ensuring regulatory compliance and compatibility. Decentralized identity management further enhances security and privacy. Results and analysis demonstrate the effectiveness of the proposed solution, positioning hybrid blockchain architecture as the most suitable approach for enhancing security in IIoT environments.

This paper proposes Blockchain-Enhanced Multi-Factor Authentication (BEMFA) to address the limitations of existing authentication mechanisms in the Industrial Internet of Things (IIoT). BEMFA combines multi-factor authentication (MFA) with blockchain technology to ensure robust, scalable, and tamper-resistant security tailored to IIoT environments. This method dynamically manages roles and permissions, detects malicious devices, and ensures data integrity and authenticity. Our results demonstrate that BEMFA significantly enhances security, addressing critical access control challenges and mitigating risks posed by malicious devices while maintaining data integrity.

A traffic violation is an act or action carried out by a person driving a motorized vehicle or a pedestrian which is contrary to the laws and regulations in the field of traffic and road transportation. Therefore, traffic management and engineering is needed so that every motorized vehicle user has regulations in traffic so that they understand the use of road directions and lanes and the law is a guide to the rules and regulations of a society and must be obeyed. The main problems in this research are: (1) What is the process for resolving traffic violation cases committed by TNI-AD soldiers in the Legal Area of ​​Military Court III-15 Kupang? (2) How are criminal sanctions imposed on TNI-AD soldiers who commit traffic violations in the Legal Area of ​​Military Court III-15 Kupang?. This research is empirical normative research, so the data sources used are primary data sources, secondary data and tertiary data. Primary data was obtained from interviews, secondary data was obtained from libraries, journals and the internet, and tertiary data was obtained from dictionaries, Wikipedia and encyclopedias. Data were analyzed descriptively-qualitatively. The results of this research show that (1) The process of resolving cases of road traffic violations committed by the TNI-AD was examined using a rapid examination process based on Law Number 31 of 1997 concerning Military Justice and Law Number 22 of 2009 concerning Traffic and Transport Roads. (2) The criminal sanctions imposed on the TNI-AD who commit traffic violations are fines and imprisonment.

Website is an existing facility on the internet, and is one of the alternative means of information and promotional media used to get new news. The purpose of making the site of SMK Negeri 1 OKU Selatan is to assist in promoting and informing the School so that it is easy to access by all people wherever they are. Therefore this study took the initiative to Build a School Website at SMK NEGERI 1 OKU SELATAN using PHP & MYSQL as a means of promotion and information. The research subjects in this thesis are South OKU 1 Public Vocational School The software used in making South Oku 1 South Vocational School website is Adobe Photoshop CS3, XAMPP, PHP, Sublime Text and MySQL. The result of this final project is a website for SMK Negeri 1 Oku Selatan, the website was developed using PHP and MySQL. The contents contained in the website are in the form of information about agencies such as: profile, department, gallery and contact that can be contacted at the SMK NEGERI 1 OKU SELATAN institution.

At this moment, IoT technology was implemented in a broader area. The development of IoT technology can help human life become more manageable. IoT systems can help human activity through the natural time control system provided before. But there are some drawbacks when implementing the IoT system. One of them is the transmission process in the networking area. It’s happened because of weather, and other natural problems. Sometimes, IoT transmission can’t reach on time. It can make errors reading data on the user side. We proposed a transmission system, namely a Hybrid MP-QUIC transmission protocol, for helping in sending the data. Using this transmission protocol can reduce the response time between client and server.

Teknologi blockchain menawarkan solusi inovatif untuk meningkatkan transparansi, efisiensi, dan keamanan dalam sektor pertanian. Penelitian ini mengkaji potensi dan tantangan implementasi teknologi blockchain di sektor pertanian melalui meta-analisis sepuluh jurnal. Hasil penelitian menunjukkan bahwa blockchain dapat memfasilitasi pelacakan produk secara real-time, mengurangi penipuan, dan meningkatkan manajemen persediaan. Studi kasus pada rantai pasok produk organik mengungkapkan bahwa blockchain memungkinkan konsumen memverifikasi asal produk, meningkatkan kepercayaan, dan membantu petani mendapatkan harga yang lebih baik. Integrasi blockchain dengan Internet of Things (IoT) dan kecerdasan buatan (AI) juga menunjukkan potensi besar dalam meningkatkan produktivitas dan efisiensi. Namun, tantangan utama seperti kurangnya pengetahuan petani dan biaya implementasi yang tinggi perlu diatasi melalui pelatihan, dukungan teknis, dan kolaborasi antara pemerintah, lembaga pendidikan, dan sektor swasta. Proyek percontohan di beberapa wilayah menunjukkan keberhasilan awal, dan pengembangan lebih lanjut akan meningkatkan adopsi teknologi ini. Kesimpulannya, dengan dukungan yang tepat, blockchain memiliki potensi untuk merevolusi sektor pertanian, meningkatkan kesejahteraan petani, dan menjamin kualitas produk bagi konsumen. Implementasi yang sistematis dan kolaboratif akan memastikan bahwa teknologi ini dapat memberikan manfaat jangka panjang bagi seluruh pemangku kepentingan dalam rantai pasok pertanian.