This study evaluates the effectiveness of the "English for Specific Purposes for Meetings" textbook authored by Kenneth Thompson, published by OXFORD University Press, through a descriptive analysis method. Drawing on Tomlinson's theoretical criteria, the evaluation highlights the textbook's alignment with learner needs and its efficacy in fostering engagement and confidence in professional communication settings. Findings indicate that the textbook effectively integrates contemporary topics and diverse learning activities to support authentic language use and active learning. However, a notable area for improvement is the need for outcome feedback opportunities. Overall, while the "English for Meetings" textbook demonstrates substantial effectiveness in addressing learner needs within professional contexts, areas for enhancement exist, suggesting avenues for future research to inform improved language teaching practices for ESP learners.
 

Islamic education plays an important role in shaping a generation that is faithful, noble, and has a positive impact on society and Muslims in general. Harun al-Rashid, as one of the earliest thinkers, made a valuable contribution in this regard, with his concept of thought that is relevant to Islamic education today. This research aims to explain the concept of Harun Ar-Rashid's thoughts related to Islamic education and its relevance to the current context of Islamic education. The research method used is qualitative research with a literature study approach, exploring information from various sources such as literature, research reports, theses, dissertations, and electronic publications related to Harun Ar-Rashid's concept of thought on Islamic education and its relevance to the present. The results show that Harun al-Rashid's concept of Islamic education has significant inspirational value. A deep understanding of these concepts allows Islamic education to continue to develop and make a positive contribution amid the dynamics of modern times. In the midst of the complexity of the modern world, the values championed by Harun al-Rashid can be an important guideline in defining the role of Islamic education and achieving the expected noble goals.

This research aims to determine the influence of the Korean Wave, Word of Mouth, and Brand Image on Purchase Decisions among consumers of Romand Korea Cosmetic Products in South Jakarta, Indonesia. This research is of a quantitative type. The population of the study consists of 800 individuals. The sample used includes 127 respondents, selected using a non-probability sampling technique with an accidental sampling method. Data collection was done through a questionnaire with a Likert scale that was processed using SPSS Version 22 software. The data analysis involved validity and reliability tests, classical assumption tests, hypothesis testing, and multiple linear regression. The results of this study indicate that the variables Korean Wave, Word of Mouth, and Brand Image each have a significant influence on Purchase Decisions.

This study analyzes and optimizes production systems in the Industry 4.0 context, examining the fundamental shift from centralized, push-based production models to decentralized, adaptive, pull-based approaches. The research employs a mixed-method approach combining comprehensive literature review and multiple case studies across manufacturing sectors. Findings reveal that integration of Internet of Things (IoT), cyber-physical systems, artificial intelligence, and big data analytics enables real-time communication between production components, product personalization, and faster decision-making. Despite significant benefits in efficiency, flexibility, and competitiveness, implementation challenges persist, including high initial investment, employee resistance, technical expertise limitations, and integration complexity. Optimization approaches such as mixed-integer linear programming, digitally-integrated Lean Six Sigma, and digital twin simulations effectively enhance performance indicators including flexibility, reliability, and energy efficiency. The study concludes that successful production system transformation requires an integrated strategy encompassing process engineering, digital competency development, change management, and continuous evaluation to ensure sustainable optimization in the digital era

This study aims to evaluate the role of green accounting in supporting environmental sustainability at PT Dharma Satya Nusantara Tbk (DSNG). Using a qualitative case study approach, the research analyzes the company's sustainability reports. The results indicate that DSNG systematically records environmental costs and investments, including the conservation of 8,733 hectares of forest, the use of renewable energy, and the implementation of the NDPE (No Deforestation, No Peat, No Exploitation) policy. DSNG also engages local communities through training and sustainable forestry programs. The implementation of green accounting enhances the company’s transparency, accountability, and reputation, while also contributing to the achievement of the Sustainable Development Goals (SDGs). Green accounting has proven to be a strategic tool for promoting comprehensive and long-term sustainable performance in the agribusiness sector.

<p>Tugas melestarikan informasi warisan budaya bukanlah merupakan tanggung jawab suatu profesi atau bidang tertentu, melainkan merupakan tanggung jawab setiap individu agar nilai-nilai warisan budaya agar tetap hidup dan membentuk identitas generasi baru bangsa. Artikel ini lebih membahas tentang pelestarian informasinya. Indikator yang dipakai dalam menjelaskan “efektivitas” dalam artikel ini adalah dengan mengidentifikasi pelestarian arsip warisan budaya di media sosial, jangkauan TikTok dan kecenderungan Gen Z, dan strategi pelestarian arsip warisan budaya di TikTok, maka lahirlah sebuah rumusan yang efektif untuk melestarikan informasi warisan budaya di TikTok. Selain itu, artikel ini juga mengevaluasi kelebihan dan kekurangan menggunakan aplikasi TikTok sebagai media untuk melestarikan informasi warisan budaya pada era Generasi Z. Penelitian ini akan menggunakan metode penelitian pustaka (library research) yang bersumber dari data primer dan sekunder sesuai dengan objek penelitiannya, antara lain dari kajian kearsipan dan komunikasi. Penulis membuat artikel yang berjudul “Efektivitas Pemanfaatan TikTok sebagai Upaya Pelestarian Arsip Warisan Budaya pada Era Generasi Z” dengan maksud dan tujuan untuk menjelaskan dan memberikan wawasan mengenai bagaimana media sosial dapat memberikan potensi besar sebagai sarana pelestarian arsip warisan budaya bagi Generasi Z.</p>

Corrosion in materials is a significant concern for the industrial and academic fields because corrosion causes enormous losses in various fields such as the economy, environment, society, industry, security, safety, and others. Currently, material damage control using organic compounds has become a popular field of study. Pyridine and quinoline stand out as corrosion inhibitors among a myriad of organic compounds because they are non-toxic, inexpensive, and effective in a variety of corrosive environments. Experimental investigations in developing various candidate potential inhibitor compounds are time and resource-intensive. In this work, we use a quantitative structure-property relationship (QSPR)-based machine learning (ML) approach to investigate support vector machine (SVR), random forest (RF), and k-nearest neighbors (KNN) algorithms as predictive models of inhibition performance. (Inhibition efficiency) corrosion of pyridine-quinoline derivative compounds as corrosion inhibitors on iron. We found that the RF model showed the best predictive ability based on the coefficient of determination (R2) and root mean squared error (RMSE) metrics. Overall, our study provides new insights regarding the ML model in predicting corrosion inhibition on iron surfaces.

The integration of Environmental, Social, and Governance (ESG) metrics into performance evaluation has become increasingly vital in achieving corporate sustainability and competitive advantage. This study investigates the impact of ESG metrics on organizational performance within the framework of strategic management accounting (SMA). Using a quantitative approach, secondary data were collected from ESG reports of 100 publicly listed companies across various industries. The analysis employs multiple linear regression to examine the relationships between ESG dimensions—Environmental, Social, and Governance—and financial performance indicators, including Return on Assets (ROA), Return on Equity (ROE), and Tobin’s Q. The results reveal a significant positive correlation between ESG scores and financial performance, with the Environmental dimension exhibiting the strongest influence (? = 0.45, p < 0.01), followed by Social (? = 0.30, p < 0.05) and Governance (? = 0.25, p < 0.05). Firms with high ESG scores (?75) reported 15% higher ROA and 20% higher ROE than those with lower scores. These findings underscore the importance of integrating ESG into SMA practices to enhance transparency, stakeholder trust, and sustainable decision-making processes. This study contributes to the literature by providing a comprehensive evaluation framework that aligns ESG metrics with corporate objectives. Practical recommendations include adopting global ESG standards, improving transparency in ESG reporting, and prioritizing strategic initiatives in sustainability. Future research could explore the long-term effects of ESG integration on non-financial outcomes, such as brand reputation and employee satisfaction.

Purpose: The main objective of this research is to develop a fall detection system and improve rapid emergency response or early warning systems for falls in the elderly.
Methods: In this research, the waterfall method was used for image analysis to detect falls with high accuracy. We also used Raspberry Pi 3, and OpenCV3 to set up a server to receive fall detection alerts and forward them to email.
Results: This system integrated a camera mounted on a Raspberry Pi 3 to continuously monitor the area captured by the camera. In the fall detection system, the results of testing with data showed that the system accuracy was 72.22%, sensitivity 72.72%, and error 27.77%.
Novelty: The approach this research adopted can be used in a variety of settings, including home healthcare, elderly care facilities, or places that require safety monitoring. With this system, we hope to improve rapid response in emergency situations, thereby protecting and improving the quality of life for people in need.

Beban kerja yang  tidak sesuai dengan kemampuan pekerja menjadi penyebab   timbulnya kelelahan kerja. Kelelahan kerja dapat dipengaruhi oleh beberapa faktor:  beban kerja yang berat dan asupan yang kurang memadai. Penelitian ini bertujuan untuk mengetahui hubungan antara beban kerja dan asupan gizi makro dengan kelelahan ahli gizi rumah sakit di Wilayah Sukoharjo. Desain penelitian ini cross sectional dengan teknik stratified random sampling dari 52 populasi sehingga diperoleh sampel yang sesuai dengan kriteria inklusi sejumlah 34 responden ahli gizi. Data beban kerja diperoleh melalui observasi pencatatan aktivitas. Asupan gizi makro diperoleh melalui recall 24 jam. Data kelelahan kerja diperoleh dengan pengisian kuesioner Industrial Fatigue Research Committee.  Analisis data menggunakan  uji  pearson product moment. Mayoritas ahli  gizi mengalami beban kerja dengan kategori sedang 19 responden (55,8%) dan 23 responden (67, 6%) memiliki skor kelelahan kerja tinggi. Tidak ditemukan hubungan antara beban kerja dan asupan gizi makro dengan kelelahan kerja ahli gizi rumah sakit di Wilayah Sukoharjo, hasil uji statistik untuk beban kerja dengan kelelahan didapatkan nilai p = 0,353. Hasil uji statistik asupan gizi makro dengan kelelahan  didapatkan nilai p 0,090 (energi ); p 0, 084 (protein); p 0,831 ( lemak); p 0,322 (karbohidrat).