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Semiotic Analysis of Roland Barthes on the Lyrics of "HOPE" by XXXTENTACION
Get PDFThis research aims to find out the meaning in the lyrics of the song "HOPE" by XXXTENTACION using Roland Barthes' theory. The research method used is qualitative by collecting data through Roland Barthes semiotic analysis. The song, released in 2018, tells the story of the Parkland incident in which 17 people died and 14 were injured during the Stoneman Douglas High School shooting in Parkland, Florida. X the songwriter struggled with his mental health and was always suicidal. However, he made a promise to his friends and fans that he would never commit suicide. Roland Barthes' semiotic analysis will dig deeper into the meaning of each verse in the lyrics of the song "HOPE" by XXXTENTACION using elements of denotation, connotation, and myth, and is expected to make writers and readers understand well the meaning contained in the song "HOPE". The results showed that the denotation meaning in the lyrics of the song "HOPE" is to commemorate the shooting of students in Parkland, Florida and the connotation meaning in the lyrics of the song "HOPE" is to encourage listeners who are depressed not to end their lives. While the mythical meaning of the song lyrics "HOPE" is a message from the song owner that every problem must have a way out
Pengabdian Barry Nur setyanto Gasal 2024 2025
Get PDFMAN 1 Magelang
MAN 2 Bantul
SMP BW Sragen
SMAN 1 Imogiri
KKN PACITA
Estimating Forest Carbon Stocks Using CNN and Vegetation Texture Features Extracted from UAV and Satellite Data in Telkom University
Get PDFForests play a crucial role in mitigating climate change by acting as carbon sinks, yet traditional methods of carbon stock estimation, reliant on manual tree measurements, are costly, time-consuming, and geographically limited. Recent advancements in remote sensing technologies, such as the combination of Unmanned Aerial Vehicles (UAVs) and Google Earth Engine (GEE), offer a promising alternative by integrating high-resolution local observations with global-scale data. Using the power of Convolutional Neural Networks (CNNs), this study suggests an integrated method for classifying carbon stocks by fusing textural parameters like homogeneity and entropy with spectral indices like Green Chromatic Coordinates (GCC) and Excess Green Index (ExG). CNNs are used to capture the spectral richness and structural complexity of vegetation because of their propensity to extract hierarchical spatial characteristics. The research compares the performance of various feature combinations—color-based, texture-based, and mixed features—using a hybrid framework of UAV and GEE data. It is anticipated that the results will demonstrate how spectral and textural features work together to increase classification accuracy. In addition to tackling major issues in carbon stock estimation, this scalable and integrated framework is made to adapt to a variety of forest ecosystems and aid in the creation of conservation policies and the mitigation of climate change
Improving student readiness for future professional activities: the Industry-Integrated Self-Design Project Learning (i-SDPL) model
Get PDFIntroduction. The Fourth Industrial Revolution has brought about significant changes in both the economy and education. This study introduces a tailored self-design training model specific to In- donesia’s industries for students. Aim. The present research aims to develop a learning model that is product-oriented and tailored to meet the needs of the industry. Additionally, it seeks to evaluate the model’s effectiveness in enhancing the readiness of vocational high school (VHS) students. Methodology and research methods. The study employed various testing methods, including interviews, questionnaires, and practical performance assessments. Results and scientific novelty. The developed Industry-Integrat- ed Self-Design Project Learning (i-SDPL) model integrates the learning experiences from VHSs with an industry component aimed at familiarising students with the professional environment of enterprises. This model emphasises student independence in the development and implementation of industry pro- jects. The integration with industry within the model offers students access to the latest technologies and practical knowledge that may not always be available in an academic setting. The advantages of this model include active student participation in enterprise operations, training based on real products, and a comprehensive enhancement of both technical competencies and soft skills compared to tradi- tional methods. The effectiveness of the i-SDPL model is evaluated based on three main competency aspects, each with clear indicators and criteria. The i-SDPL model has demonstrated its effectiveness in enhancing attitude, knowledge, and skills competency among 136 students across two trial imple- mentations. Scientific novelty. An original i-SDPL model has been developed to ensure the integration of vocational education programmes with the specific needs of various industries. Practical significance. The widespread adoption of the i-SDPL model will further enhance partnerships between vocational ed- ucation institutions and industry. The findings of this study are not only pertinent to the VHS system in Indonesia but can also serve as a valuable guide for vocational education institutions in other countries facing similar challenges