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The integration of the Internet of Things (IoT) into the Web of Things (WoT) offers cross-platform interoperability but presents significant security challenges for constrained devices. This study aims to evaluate the effectiveness and efficiency of security mechanisms in three major WoT protocols: HTTP, CoAP, and MQTT. The research methodology employs a Systematic Literature Review (SLR) following PRISMA guidelines, reviewing 22 selected articles published between 2020 and 2025. The analysis utilizes PICOC criteria to compare communication overhead, computational consumption, and security mechanisms such as DTLS, OSCORE, and TLS integration. The results indicate that CoAP, combined with OSCORE and EDHOC mechanisms, provides the optimal balance between energy efficiency and end-to-end security for resource-constrained devices. MQTT demonstrates superiority in throughput and data transmission speed but requires additional security layers to ensure data confidentiality. Meanwhile, HTTP dominates in terms of Web service integration and access control, despite having the highest overhead burden. In conclusion, no single protocol is superior for all scenarios; the choice of protocol in WoT architecture must be based on the trade-offs between latency, resource efficiency, and system security requirements

This community service article aims to improve the marketing capacity of UMKM Tri.Crochet Situgede through the implementation of an integrated digital marketing strategy. The method used is qualitative with a Participatory Action Research (PAR) approach, involving collaboration between the implementation team and the UMKM owners. The program includes need assessment, branding improvement, promotional content creation, product photography, and optimization of Instagram and TikTok as the primary marketing platforms. Training and technical assistance were provided to enable UMKM to independently create content, manage posting schedules, and expand promotional reach. The results show a significant improvement in visual content quality, audience engagement, account reach, and product visibility. This directly impacted the increase in product sales. The findings indicate that an effective digital marketing strategy can enhance the competitiveness and market penetration of creative UMKM. Ongoing mentoring also proved crucial in ensuring the sustainability of marketing practices applied to handmade craft UMKM, allowing them to continue growing in an increasingly competitive market.

This study aims to examine the effects of service quality and product quality on customer satisfaction and purchase decisions, as well as the mediating role of customer satisfaction. The population consists of Shopee users in Semarang City (January–May 2025). Using the Lemeshow formula, 97 respondents were selected through purposive sampling. Data were collected using a 5-point Likert questionnaire and analyzed with SEM-AMOS. The findings show that both service quality and product quality significantly increase customer satisfaction. Service quality and product quality have positive but insignificant direct effects on purchase decisions, while customer satisfaction has a significant positive effect on purchase decisions. Customer satisfaction also significantly mediates the influence of service quality and product quality on purchase decisions. These results underline the crucial mediating role of satisfaction in shaping consumer purchasing behavior on digital platforms like Shopee.

This study aims to investigate the factors influencing the continuance intention of Al-Kautsar Senior High School students in using metaverse-based learning media. The background of this research lies in the rapid adoption of immersive technologies in education, while students’ levels of acceptance have not yet been fully understood. The objective is to identify the antecedents of satisfaction, which subsequently influence continuous intention. The research model examines the effects of perceived interactivity, perceived sociability, perceived enjoyment, perceived ease of use, perceived security, and social influence on satisfaction. A quantitative approach was employed by distributing questionnaires to students, and the data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that satisfaction is a very strong and statistically significant predictor of continuous intention to use metaverse applications (β = 0.716, p < 0.001). The six hypothesized antecedent variables were not found to have a significant individual effect on satisfaction. In conclusion, for digital native students at Al-Kautsar Senior High School, factors such as ease of use, interactivity, and enjoyment have shifted from being drivers of satisfaction to becoming basic expectations (hygiene factors). Satisfaction itself emerges as the primary determinant, likely influenced by more substantive elements such as content quality or pedagogical design rather than merely the technical features of the platform.

Since 2022, the application of the Internet of Things (IoT) in the healthcare sector has grown significantly, marked by the increasing adoption of wearable technology, artificial intelligence (AI), machine learning (ML), and blockchain integration. Research highlights India and China as leading contributors in this domain. IoT enables real-time monitoring of chronic diseases, tracking of patient vital signs, and detection of health protocol compliance. Integrated systems such as Monit4Healthy and RADAR-IoT support personalized medical recommendations and cross-platform interoperability. However, key challenges persist, including patient data privacy and security, system interoperability issues, data fragmentation, and barriers to user acceptance due to cost, digital literacy, and device comfort. Proposed solutions include blockchain for secure data sharing, adaptive congestion control for network performance, and user training to improve technology adoption. Therefore, successful IoT deployment in healthcare requires a comprehensive approach that addresses technological, social, ethical, and sustainability aspects to achieve an effective and inclusive transformation of health services.

Social media has become a strategic tool for the government to disseminate public information quickly, interactively, and efficiently in the digital era. The Lampung Provincial Government utilizes various social media platforms such as Facebook, Instagram, and TikTok to support public communication activities. This study aims to analyze the effectiveness of public communication by measuring the level of activity of Regional Apparatus Organization (OPD) social media accounts using the logistic regression method. Data were collected through web scraping techniques on the official OPD social media accounts and then processed using a quantitative approach. The results show that the level of social media activity influences the effectiveness of public communication and the transparency of government information. These findings are expected to serve as a basis for local governments in designing public communication strategies that are more optimal and adaptive to developments in digital technology.

Penelitian ini dilakukan untuk menganalisis dan membandingkan sentimen pelanggan terhadap lima restoran Sunda di Kota Bogor menggunakan metode Aspect-Based Sentiment Analysis (ABSA) berbasis Fine-Tuning IndoBERT. Ulasan pelanggan di platform digital seperti Google Review berpengaruh besar terhadap citra dan keputusan konsumen, sementara jumlah ulasan yang besar sulit dijelaskan secara manual. Data penelitian diperoleh dari 3.232 ulasan Google Review dan diproses menjadi 3.010 data yang dikelompokkan berdasarkan lima aspek utama, yaitu makanan, pelayanan, harga, suasana, dan fasilitas. Metode Fine-Tuning IndoBERT digunakan untuk mengklasifikasikan sentimen positif, netral, dan negatif, dengan evaluasi melalui metrik akurasi, presisi, recall, dan F1-score. Hasil menunjukkan bahwa model memiliki performa sangat baik dengan akurasi tertinggi sebesar 97,51% pada aspek pelayanan dan terendah 92,52% pada aspek makanan, serta nilai F1-score makro di atas 0,91. Analisis menunjukkan bahwa Bumi Aki unggul pada aspek makanan dan fasilitas, Saung Abah pada pelayanan, Saung Kuring pada harga, dan Gumati pada suasana. Hasil penelitian ini menunjukkan bahwa Fine-Tuning IndoBERT efektif dalam memahami opini pelanggan berbahasa Indonesia dan dapat menjadi acuan bagi pelaku usaha kuliner dalam meningkatkan kualitas layanan.