In advertising, females are frequently positioned as the center of attention to establish product image through culturally recognized signs and symbols. Advertisements transcend their promotional function, acting as media that both reflect and influence societal perceptions, including gender roles within daily life. This is exemplified in the Vicks VapoRub advertisement titled "Mother's Amazing Hands," which portrays women as mothers perpetually prepared to care for their families. This study investigates the representation of the mother's role within the aforementioned advertisement using Roland Barthes' semiotic theory. The research aims to twofold: 1) identify the denotative, connotative, and mythical meanings embedded within the Vicks VapoRub "Mother's Amazing Hands" ad; and 2) analyze the portrayal of the mother figure through the lens of Barthes' semiotic framework. The research employed a qualitative descriptive approach, utilizing Barthes' semiotic analysis method alongside concepts of social construction of reality, cinematography techniques, and the societal role of mothers. Through the analysis of verbal, non-verbal, audio, and visual elements within the advertisement, the study revealed the multifaceted representation of the mother's role. This includes functions of caregiving, nurturing, and treatment of family members, ultimately portraying the tangible actions a mother takes in providing for her family.

PT. The Indonesian China Fast Train is one of the companies operating in the field of public transportation services under the auspices of the government which was inaugurated directly by the President of Indonesia, namely Mr. Jokowi, who collaborates directly with China. This research aims at the Role of Public Relations Expert Prescriber PT. KCIC in building Brand Awareness for the Fast Train whoosh, the Role of Public Relations PT. KCIC as Communication Facilitator in building Brand Awareness regarding the Whoosh Fast Train, Role of Public Relations PT. KCIC in Communication Technician to build Brand Awareness of the Whoosh Fast Train, the Role of Public Relations as a Problem Solving Facilitator in handling the issue of the Whoosh Fast Train "Whoosh" Fast Train. The approach used in this research is qualitative with descriptive methods using data collection techniques, documentation and direct interviews with informants. Using triangulation techniques and data analysis using Dozier & Broom's Public Relations Role theory in Ruslan (2020). For the information obtained, 2 informants were interviewed, consisting of key informants, supporting informants and 1 triangulation. The results of this research found that PT Kereta Cepat Indonesia China's public relations will continue to provide updated information using social media and the available the public continues to remember the existence of the Whoosh Fast Train.

This study analyzes the relationship between intercultural communication competence and cultural empathy in Madura ethnic nomadic students. As a group that often faces challenges in cross-cultural communication, migrant students need to have high adaptability in order to interact effectively in diverse academic and social environments. This study aims to understand how the process of cross-cultural communication can shape the cultural empathy of Madura ethnic nomadic students, as well as how factors such as cross-cultural awareness, ease of perspective, feelings of empathy, and expressions of empathy contribute to their adaptation. This study uses a qualitative approach with an in-depth interview method of Madurese ethnic nomadic students spread across several provinces in Indonesia. The results of the study show that effective cross-cultural communication can help students in adjusting to a new environment, increasing comfort in interacting, and strengthening cultural empathy. Key factors contributing to this process include the ability to understand cultural differences, language skills, as well as a willingness to participate in the local culture.

Stingless bee (Trigona sp.) cultivation presents significant potential for livestock diversification, improved food security, and rural economic development. Although this practice offers clear advantages, including low maintenance requirements, minimal environmental risk, and the high nutritional and commercial value of its honey, its adoption in Lempake Subdistrict, North Samarinda, East Kalimantan, remains limited. This situation is primarily due to a lack of community awareness and technical knowledge in apiculture. In response, a community service program was conducted on 10 May 2025 by lecturers from the Faculty of Agriculture, Mulawarman University, in collaboration with local farmer groups and supported by the Samarinda City Government. The program provided structured training through field visits, lectures, interactive discussions, and practical demonstrations at selected apiaries. Post-training evaluations showed a substantial improvement in participants’ understanding of colony management, hygienic honey harvesting, and the economic prospects of stingless bee products. Additionally, the program encouraged entrepreneurial interest and supported the development of value-added functional food products based on local resources. These findings indicate that targeted training and institutional collaboration are effective in promoting sustainable stingless beekeeping practices. Future initiatives should focus on continued technical support and the integration of apiculture products into local and digital markets to enhance competitiveness and economic impact.

This study aims to analyze consumer behavior in purchasing decision-making at traditional markets in Surakarta City. The focus of this research is to identify the factors that influence consumer purchasing decisions, such as price, product quality, location, service, and shopping habits. The method used is a quantitative approach with a survey method. Data were collected through the distribution of questionnaires to 100 respondents who are active consumers at several traditional markets in Surakarta, such as Pasar Gede, Pasar Klewer, and Pasar Legi. The data analysis technique used is multiple linear regression to examine the influence of independent variables on the dependent variable. The results show that price, product quality, and service have a significant influence on purchasing decisions, while location and shopping habits do not show a significant influence. These findings indicate that consumers in traditional markets in Surakarta tend to prioritize economic value and service interaction in their purchasing decisions. This research is expected to provide input for traditional market managers in improving competitiveness amidst the growth of modern markets.

The "Balanced Nutrition from the Archipelago’s Kitchen" initiative is an educational and practical effort aimed at increasing community awareness of the importance of consuming balanced nutritious foods through a local culinary approach. This program was conducted in RT.01, Selumit Urban Village, focusing on nutrition education and the distribution of Bubur Manado (Manado porridge) as an example of a healthy traditional dish. The methods included nutrition counseling, cooking demonstrations, and food distribution to residents. The results showed improved community understanding of balanced nutrition concepts and greater appreciation for traditional Indonesian cuisine as a source of nutritious food. This activity also fostered a sense of solidarity and cooperation among community members. It is hoped that similar programs can serve as a sustainable model for culturally based nutrition education in other communities.

Sistem presensi guru di SMK Islam Darussalam Lombok Barat masih menggunakan metode manual yang memerlukan waktu dan tenaga yang cukup besar serta rentan terhadap kesalahan manusia. Oleh karena itu, penelitian ini bertujuan untuk mengembangkan sistem presensi guru menggunakan kartu RFID berbasis Internet of Things (IoT). Sistem ini terdiri dari beberapa komponen utama, yaitu NodeMCU ESP8266, modul RFID, LCD, dan buzzer. Proses pengembangan sistem dimulai dengan identifikasi kebutuhan melalui interaksi langsung dengan pihak sekolah untuk memahami kebutuhan dan masalah yang ada dalam sistem presensi saat ini. Berdasarkan analisis tersebut, dirancanglah purwarupa sistem presensi yang dapat mendeteksi kartu RFID, menampilkan informasi pada LCD, memberikan notifikasi audio melalui buzzer, serta mengirim data presensi secara otomatis ke Google Spreadsheet untuk pemantauan dan pengelolaan data secara real-time. Hasil uji coba menunjukkan bahwa sistem presensi yang dikembangkan berhasil berfungsi dengan baik. Modul RFID dapat mendeteksi kartu RFID dengan jarak maksimal 5-6 cm. LCD menampilkan informasi identitas guru yang terdaftar dengan jelas, sementara buzzer memberikan notifikasi audio saat kartu RFID terdeteksi. Data presensi juga berhasil dikirim dan ditampilkan secara otomatis di Google Spreadsheet. Meskipun sistem ini telah berfungsi sesuai dengan yang diharapkan, terdapat beberapa saran vii untuk pengembangan lebih lanjut. Penambahan sensor sidik jari atau sensor wajah dapat meningkatkan efisiensi dan keamanan sistem, mengingat kartu RFID dapat saja tertinggal atau hilang. Peningkatan jarak deteksi RFID juga dapat dipertimbangkan untuk kenyamanan pengguna. Dengan demikian, diharapkan sistem ini dapat memberikan solusi yang lebih efisien dan andal dalam mencatat kehadiran guru di SMK Islam Darussalam Lombok Barat.

Data mining, atau penambangan data merupakan proses pengumpulan dan pengolahan data untuk mengekstrak informasi penting. Tahapan dalam proses data mining berguna untuk mencari sebuah pola tertentu dari data penilaian yang sangat banyak. Tujuan ini yaitu mengetahui dan membentuk cluster data siswa berdasarkan nilai sehingga menjadi sebuah cluster, sehingga hasil cluster siswa dapat menjadi acuan dalam meningkatkan nilai siswa dalam proses pembelajaran selanjutnya. Hasil evaluasi dan penilaian terhadap siswa dilakukan oleh tenaga pengajar atau guru dalam melakukan penilaian selama proses pembelajaran. Dalam proses pembelajaran terdapat 2 kategori penilaian yaitu nilai siswa UTS serta UAS. Hasil pengelompokan data nilai siswa menggunakan metode K-Means clustering menunjukan bahwa berdasarkan hasil cluster data siswa dalam satu semester, maka didapatkan cluster 0 berjumlah 7 siswa, cluster 1 berjumlah 3. Hasil pengujian menggunakan rapid miner maka terdapat 7 siswa yang memiliki nilai dengan rata-rata yang baik dan terdapat 3 siswa dengan rata-rata nilai yang kurang baik.

Prediksi dengan model sistem pendukung keputusan merupakan cara yang tepat sasaran untuk digunakan dalam memecahkan masalah. Demam Berdarah Dengue (DBD) adalah penyakit endemik di Indonesia yang memerlukan penanganan cepat untuk mencegah komplikasi lebih lanjut. Prediksi diagnosis DBD dengan menggunakan algoritma Decision Tree C4.5 memiliki tingkat akurasi 100% dan meyakinkan. Dataset yang digunakan mencakup data medis pasien, seperti gejala klinis yaitu demam, nyeri sendi, mual, hasil laboratorium berupa trombosit, hematokrit, uji NS1, serta riwayat komorbiditas dan durasi gejala. Proses pre-processing dilakukan untuk memastikan data siap digunakan, dengan menangani data yang hilang dan menyesuaikan format data agar konsisten. Model Decision Tree C4.5 dipilih karena kemampuannya mengolah data dengan berbagai format dan hasilnya dapat dengan mudah dipahami. Model C4.5 dievaluasi menggunakan metrik akurasi, presisi, sensitivitas, dan spesifisitas. Dengan performa yang baik, model ini memiliki potensi untuk digunakan dalam sistem pendukung keputusan medis. Implementasinya di lapangan dapat membantu tenaga medis dalam mempercepat diagnosis dan memberikan penanganan yang lebih tepat waktu, yang sangat penting dalam menangani pasien DBD.

Telegram telah menjadi salah satu aplikasi komunikasi yang populer namun juga sering disalahgunakan untuk aktivitas kriminal. Dalam upaya mengungkap kejahatan digital yang dilakukan melalui Telegram, metode Digital Forensic Research Workshop (DFRWS) diterapkan untuk memastikan integritas dan akurasi dalam pengumpulan, analisis, dan pelaporan bukti digital. Penelitian ini menggunakan dua alat forensik, yaitu MOBILedit Forensic Express dan DB Browser for SQLite dalam mengumpulkan bukti digital dari aplikasi Telegram. Hasil penelitian menunjukkan bahwa MOBILedit Forensic Express berhasil menemukan 40% dari total barang bukti yang diharapkan, yaitu berupa file video dan gambar. Sementara itu, DB Browser for SQLite berhasil mengumpulkan 20% dari total barang bukti yang diharapkan, yaitu berupa data kontak pelaku.