This study aims to analyze the impact of corporate governance, renewable energy, and waste management on sustainable development goals (SDGs) at PT Rajawali Dwi Putra Indonesia. The three variables were chosen because they are closely related to sustainability activities that have become a global focus, especially in facing environmental, economic, and social challenges. This study uses a quantitative approach with data collection techniques through a 1-5 Likert scale questionnaire distributed to all company employees through the census method. Data analysis was conducted using multiple linear regression which includes validity, reliability, classical assumptions, and hypothesis testing (t test and F test). The results showed that partially, renewable energy and corporate governance have a significant positive effect on development goals. Meanwhile, waste management also has a significant effect yet a negative relationship direction. Simultaneously, the three independent variables have a significant positive effect on sustainable development goals. These findings are expected to be a reference for companies in formulating sustainability strategies and supporting the acceleration of achieving sustainable development goals, especially in developing countries such as Indonesia.

Students' lack of interest in learning to write the text of the Class X newspaper depends on the completeness of the content (elements of the newspaper), spelling and punctuation, and structure of the newspaper. This study aims to describe the results of applying the project-based learning model in learning to write news texts for Class X students of SMA N 01 Tanjung in the 2023-2024 academic year. This study is included in the experimental research with the descriptive quantitative approach. The data obtained in this study were collected by observation (observation) and questionnaire (questionnaire), while purposive sampling was used. The type used in this study is a one-shot case study. After data analysis, the results of this study are as follows: 1) in the aspect of knowledge, there are 28 students, or 78%, who obtained scores above the KKM, while 8 students, or 22%, have not completed the KKM. From the percentage, the completeness of the value was obtained at 77.27. 2). In the aspect of skills, there were 30 students, or 83%, obtained grades above KKM, while 6 students, or 17%, had not reached KKM completeness. From the present, the completeness value was obtained by 81.33. Thus, applying the project-based learning model in learning to write news text for class X9 students can influence the achievement of the specified learning goals.

Introduction: Hypertensive disease is called the silent disease because the sufferer is not aware if he suffers from hypertension before checking blood pressure to health services. The prevalence of hypertension in West Java is 39.6%. Karawang Regency is included in West Java Province with hypertension sufferers ≥15 years in 2022 as many as 625,156 people, where Rengasdengklok District is in 6th position at 61.87%. This study aims to determine the effectiveness of leaflets, animated videos, and statement card games on knowledge and attitudes regarding hypertension in Rengasdengklok, Karawang Regency. Method: The research method is quantitative research with a cross-sectional design. The population of 30 respondents was grouped into three groups, namely media leaflets, animated videos, and statement card games. Results: For the analysis technique, the data used are univariate and bivariate analysis with the Wilcoxon test for data that is not normally distributed and Paired Simple T-Test for data that is normally distributed. For the media leaflet, animation video, and games based on the results of the Paired Simple T-test and Wilcoxon test, the knowledge variable obtained p-values of 0.604>0.05, 0.031<0.05, and 0.018<0.05 respectively. Conclusion: In conclusion, in this study there was a significant influence on respondents' knowledge before and after being given animated video media and statement card games, while there was no significant effectiveness on respondents' knowledge before and after being given leaflet media.
 

The study was conducted to investigate how profitability, capital structure, and company size affect company value, company size acts as a moderator variable. There are independent variables Profitability and Capital Structure and dependent variables, Company Value, while Company Size acts as a moderator factor. The study focused on companies in the healthcare sector listed on (IDX) from 2021 to 2023, and identified 13 companies that met the established criteria, resulting in a total of 39 observation data points. The analysis used the panel data regression method, with Econometric Views (Eviews). The findings of this study reveal that profitability has a significant positive impact on company value. The value of a company is positively influenced by its capital structure. In addition, company size plays an important role in moderating profitability and company value, as well as the relationship between capital structure and company value. This study is a valuable consideration for investors and shareholders when evaluating financial statements to make investment decisions.

Indonesia's healthcare system continues to face significant challenges in delivering equitable services across diverse and remote regions. The digital transformation of healthcare—through the integration of Artificial Intelligence (AI), big data, and telemedicine—offers promising solutions to overcome disparities in access, infrastructure, and service delivery. This study aims to comprehensively analyze global and national research trends related to the digital transformation of healthcare using a Systematic Literature Review (SLR) approach, supported by bibliometric analysis through the VOSviewer software. Following the PRISMA protocol, a total of 30 relevant articles published between 2020 and 2025 were identified and analyzed. The network and overlay visualizations generated reveal four major thematic clusters: digital transformation and service quality, big data and pandemic response, AI and data privacy, and community engagement in digital health services. Overlay visualization also shows a clear shift in research focus—from early pandemic responses toward system optimization, ethical governance, and technological inclusivity in recent years. The findings highlight that digital healthcare transformation has increasingly evolved from emergency responses to COVID-19 into a strategic framework for long-term system improvement. Moreover, AI and big data have played pivotal roles in enhancing diagnostics, predicting outbreaks, and improving resource allocation. However, concerns related to privacy, digital literacy, and unequal technological access remain prominent. The study concludes that the integration of AI, big data, and telemedicine not only enhances healthcare efficiency but also requires strong regulatory frameworks, infrastructure readiness, and public engagement. Future research should incorporate co-citation and cross-country comparative analyses to enrich the understanding of digital health transformation in a global context, especially in low- and middle-income countries like Indonesia.

Traditional medicine has been trusted for generations as an effective remedy for various health conditions and is widely recognized for its safety when compared to synthetic pharmaceuticals. One of the main reasons individuals choose herbal medicines is their relative affordability and the perception that they are free from harmful chemical additives. However, recent public warnings issued between 2020 and 2025 have revealed the presence of hazardous medicinal chemicals (Bahan Kimia Obat/BKO) such as sildenafil citrate and caffeine in some stamina-enhancing herbal products. This study aims to develop and validate an analytical method using Thin Layer Chromatography (TLC) coupled with densitometry for the detection of sildenafil citrate and caffeine in herbal medicines. The method was chosen due to its simplicity, low operational cost, and ability to effectively separate these two compounds. A category II validation was performed to determine the presence of impurities, with a focus on parameters including selectivity and the Limit of Detection (LOD). The mobile phase employed was a combination of chloroform and ethanol (9.5:0.5 v/v), and detection was carried out at 254 nm using a densitometer. The TLC results showed that sildenafil citrate and caffeine had Rf values of 0.32 and 0.52, respectively, with a resolution (Rs) of 2, indicating a good separation. The LOD for sildenafil citrate was 8.5418 ?l/ml (0.0854 mg per 600 mg sample), while the LOD for caffeine was 4.7987 ?l/ml (0.0959 mg per 600 mg sample). These findings highlight the importance of routine quality control testing to ensure the safety and authenticity of herbal medicines in the market.

Dunia digital yang terus berkembang menyoroti pentingnya desain antarmuka pengguna (UI) dan pengalaman pengguna (UX). Namun, kurikulum di Sekolah Menengah Kejuruan (SMK) sering kali tidak memadai dalam menangani masalah kritis ini. Kegiatan pengabdian masyarakat ini bertujuan untuk membekali siswa SMK, khususnya di SMK Negeri 1 Air Joman dengan keterampilan desain UI/UX melalui instruksi yang berfokus pada praktik. Kami mulai dengan menentukan kebutuhan siswa, kemudian kami membahas prinsip-prinsip desain UI/UX, diikuti dengan proses pembuatan Mockup UI dan prototype menggunakan Figma, dan diakhiri dengan mereview hasil desain dari proyek mereka. Kami menggunakan pre-test, post-test, observasi praktis, dan kuesioner kepuasan peserta untuk mengukur keberhasilan. Akibatnya, nilai rata-rata peserta meningkat sebesar 70%, dan hasilnya menunjukkan bahwa para siswa puas dengan materi dan metode pengajaran. Pelatihan ini meningkatkan pemahaman konseptual siswa, kecakapan teknis, dan kemampuan untuk menghadapi tantangan di tempat kerja kreatif digital. Ini adalah pernyataan sederhana bahwa pendekatan pembelajaran praktis sangat efektif dalam dalam mengasah kemampuan vokasional di bidang desain digital.

Indonesia's healthcare system continues to face significant challenges in delivering equitable services across diverse and remote regions. The digital transformation of healthcare—through the integration of Artificial Intelligence (AI), big data, and telemedicine—offers promising solutions to overcome disparities in access, infrastructure, and service delivery. This study aims to comprehensively analyze global and national research trends related to the digital transformation of healthcare using a Systematic Literature Review (SLR) approach, supported by bibliometric analysis through the VOSviewer software. Following the PRISMA protocol, a total of 30 relevant articles published between 2020 and 2025 were identified and analyzed. The network and overlay visualizations generated reveal four major thematic clusters: digital transformation and service quality, big data and pandemic response, AI and data privacy, and community engagement in digital health services. Overlay visualization also shows a clear shift in research focus—from early pandemic responses toward system optimization, ethical governance, and technological inclusivity in recent years. The study concludes that the integration of AI, big data, and telemedicine not only enhances healthcare efficiency but also requires strong regulatory frameworks, infrastructure readiness, and public engagement. Future research should incorporate co-citation and cross-country comparative analyses to enrich the understanding of digital health transformation in a global context.

Purpose: This study aims to estimate and evaluate per capita expenditure at the subdistrict level in Garut Regency by employing unit-level Small Area Estimation (SAE) techniques, specifically utilizing the Empirical Best Linear Unbiased Predictor (EBLUP) and the Empirical Best Predictor (EBP) methods.
Methods: The data used in this study are socio-economic data, specifically per capita household expenditure in Garut Regency. Socio-economic data generally skew positively rather than the normal distribution, so a method that can approximate or come close to the normal distribution is needed, for example, log-normal transformation. To improve the performance of EBLUP, which may lead to inefficient estimators because of violation of the assumption of normality, this study proposes the Empirical Best Predictor (EBP) method. It handles positively skewed data by applying log-normal transformation to sample data so that it more closely conforms to the desired distribution.
Result: The EBP results are more stable than EBLUP since EBLUP is highly sensitive to outliers, and in cases where the normality assumption is violated, it produces a significant mean square error and inefficient estimators. Evaluating the estimates with both EBLUP and EBP shows Relative Root Mean Squared Error (RRMSE) values above 25%, especially in the subdistricts of Pamulihan, Sukaresmi, and Kersamanah. This is probably due to the household samples being taken in these three subdistricts being comparatively small compared to the other.
Novelty: In this research, we use EBP to improve the performance of EBLUP, which produces inefficient estimators when the normality assumption is violated.

This article aims to describe the curriculum management strategies implemented at SMKN 1 Sungai Tabuk to improve the quality of graduates in alignment with the demands of the workforce. This research employs a descriptive qualitative method with data triangulation techniques through interviews, observation, and documentation. The findings reveal that curriculum management is carried out systematically through planning, organization, implementation, and evaluation. In the planning phase, the school develops annual and semester programs, Learning Objectives Flow (ATP), and teaching modules aligned with the needs of the Business and Industrial World (DUDI). The organization of the curriculum involves teacher participation in ongoing training, professional learning communities, subject teacher working groups (MGMP), and industry internships. Curriculum implementation is supported by strategic partnerships through fieldwork practice programs and graduate placement facilitated by the School Job Placement Unit (BKK). Curriculum evaluation is conducted collaboratively by the curriculum development team and various school program teams, taking into account feedback from teachers, students, and industry partners. However, several challenges remain, including limited teacher innovation in lesson planning, inadequate facilities, and insufficient mastery of the Merdeka Curriculum approach. This study recommends enhancing teacher capacity, improving learning infrastructure, and strengthening collaboration among stakeholders in curriculum management to produce more competent and industry-ready graduates.