This study investigates the pyrolysis of Oil Palm Empty Fruit Bunches (OPEFB) using the open-source process simulation software DWSIM to evaluate the impact of temperature on product distribution, particularly bio-oil, biochar, and pyrolysis gas. OPEFB, an abundant lignocellulosic waste from Indonesia’s palm oil industry, holds significant potential as a renewable biomass feedstock. The simulation model was developed based on thermochemical conversion principles and was validated against selected experimental data from the literature. Results show that pyrolysis temperature significantly influences the yield and composition of the products. The gas yield increased with temperature up to 460°C, dominated by CO, CO?, and H? due to the decomposition of volatile organic matter. However, gas yield declined beyond 460°C, likely due to secondary reactions converting gas precursors into liquid products. The optimal temperature was found to be around 510°C, offering a balanced yield of bio-oil and gas with minimal biochar formation. The chemical composition of bio-oil included furfural, phenols, alcohols, and acetic acid—compounds derived from the breakdown of cellulose, hemicellulose, and lignin. Biochar yield decreased with temperature, but its quality improved in terms of carbon content and fixed carbon fraction. This study highlights the utility of DWSIM as an accessible and transparent tool for simulating biomass pyrolysis. Future work should focus on refining the kinetic parameters, experimental validation of simulation results, and integrating downstream processing for fuel and chemical recovery.

Indonesia merupakan negara yang kaya akan keanekaragaman baik dari suku bangsa, budaya, tradisi, dan lain-lain. Keanekaragaman tersebut menjadi suatu ciri khas dari bangsa Indonesia dan menjadi hal yang unik. Selain itu ditengah perkembangan zaman menuju era globalisasi menjadi tantangan tersendiri bagi bangsa Indonesia. Kebudayaan barat akibat dari modernisasi dan westernisasi masuk mempengaruh kebudayaan lokal Indonesia. Kota Surabaya merupakan kota terpadat kedua di Indonesia. Surabaya menjadi salah satu kota yang terpengaruh modernisasi dan westernisasi kebudayaan barat. Lambat laut kebudayaan lokal yang berasal dari kota Surabaya mulai pudar. Namun di daerah Surabaya Barat yaitu wilayah Kelurahan Lidah Wetan, masyarakat sekitar masih mempertahankan salah satu tradisi yaitu tradisi Kirab Sawunggaling. Penelitian ini menggunakan metode penelitian kualitatif, karena metode ini lebih cocok digunakan dalam penelitian yang memahami tentang fenomena sosial untuk melihat dan meneliti kondisi dari objek penelitian. Hasil penelitian ini adalah mengetahui bagaimana eksistensi tradisi Kirab Sawunggaling ditengah kepungan kebudayaan barat yaitu modernisasi dan westernisasi, dan mengetahui bagaimana masyarakat melestarikan dan memelihara tradisi ini hingga sekarang.

This study aims to analyze the effect of unemployment rate and Gross Domestic Product (GDP) on poverty rate in Indonesia in the period 2000-2023. The method used is an associative quantitative approach with secondary data obtained from the World Bank. Data processing uses EViews through stationarity test, cointegration, classical assumptions, and Error Correction Model (ECM). The results of the study indicate that unemployment rate has a negative but insignificant effect on poverty, while GDP has a negative and significant effect. Simultaneously, unemployment and GDP have a significant effect on poverty rate in Indonesia. The coefficient of determination shows that both variables explain 50.46% of the variation in poverty rate. This finding confirms the importance of increasing GDP as the main strategy in reducing poverty rate in Indonesia.

In Indonesia, stroke is the leading cause of illness and death among the elderly. Dietary habits, especially fatty food intake, have been identified as changeable risk factors. Nonetheless, there is a scarcity of national data on this relationship among older Indonesian adults. This study sought to investigate the relationship between fatty food intake and stroke occurrence in elderly Indonesians, utilizing data from the 2023 Indonesian Health Survey (Survey Kesehatan Indonesia or SKI). This cross-sectional study was performed using secondary data from SKI 2023, encompassing 97,339 participants aged 60 years and above. The primary outcome was whether a stroke diagnosis was present (yes/no) and the key independent variable was the consumption of fatty foods (yes/no). Additional variables considered were age, gender, education, marital status, employment, residence, and alcohol use. Weighted descriptive statistics, chi-square tests, and binary logistic regression were conducted using STATA 14.1, with sampling weights applied. The stroke prevalence among elderly participants was 3.2%. The bivariate analysis revealed a significant association between fatty food consumption and stroke (p < 0.001). Multivariate logistic regression showed that elderly individuals who avoided fatty foods had a notably reduced risk of stroke (OR = 0.51, 95% CI: 0.45–0.58, p < 0.001). Alcohol consumption also had a protective effect (OR = 0.22, 95% CI: 0.12–0.43, p < 0.001). There is a significant association between fatty food consumption and stroke among the elderly population in Indonesia. Public health strategies encouraging healthier eating habits could potentially lower the stroke risk in this susceptible group

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.

This study aims to determine the effect of compensation and work discipline on teacher loyalty in the Samarinda City District. The research method used is quantitative, using observational and survey approaches. The sample comprised 93 respondents, consisting of teachers in the Samarinda City District. Data were collected via a questionnaire distributed through Google Forms using a Likert scale. The data were analyzed using SPSS for validity and reliability testing, classical assumption testing, multiple linear regression, t-test, and F-test as model fit tests (Goodness of Fit), as well as the coefficient of determination (Adjusted R²). The results indicate that both compensation and work discipline have a positive effect on teacher loyalty. Improvements in fair compensation provision and consistent enforcement of work discipline can enhance teachers’ loyalty to their employing institution. The model fit test (Goodness of Fit) shows that the regression model used in this study meets the criteria for adequacy and significance, making it suitable for predicting teacher loyalty.

 
The textile and textile products (TPT) industry is one of the strategic sectors in the Indonesian economy with a significant contribution to Gross Domestic Product (GDP), employment, and national exports. In the first quarter of 2024, the manufacturing industry sector contributed 19.28% to national GDP, with the textile and apparel sub-sectors showing growth of 5.90% and 2.64% respectively year-on-year (yoy). However, this sector faces challenges in the form of global competition, illegal imports, and declining export volumes, which in 2023 reached their lowest point in the last nine years with a decline of 2.43%. In response, the government has tightened import policies, provided incentives, and reformed investment policies to attract more domestic and foreign investment. With these efforts, the TPT industry remains an important pillar of the national economy, although it requires further strategies to face challenges and ensure its sustainability. The type of data used in this study is secondary data that is quantitative in nature. The data needed is the annual financial report of PT ABC Tekstil Tbk from 2020-2024. The model used in this study is the Altman Z-Score model. This method is used to predict the risk of bankruptcy in a company. From the results of this study, it can be concluded that the analysis using the Altman Z-Score method at PT Sri Rejeki Isman Tbk, for the period 2020-2024 is in an unhealthy condition or in a Distress Zone condition and has quite serious financial problems.

This study aims to analyze the influence of Islamic financial literacy and bank image on customer decisions in using mortgage financing products at Bank Tabungan Negara (BTN) KC Syariah Palembang. Islamic financial literacy plays an important role in increasing public understanding of Islamic banking products, which will influence decisions in choosing financial products. In addition, a positive bank image also contributes to building customer trust in the services offered. This study uses a quantitative method with the Structural Equation Modeling-Partial Least Squares (SEM-PLS) approach. Data were collected by distributing questionnaires to BTN KC Syariah Palembang customers who use mortgage financing products. The results of the study indicate that Islamic financial literacy and bank image have a positive and significant effect on customer decisions. The implications of this study indicate that increasing Islamic financial literacy and strengthening bank image can be an effective strategy for Islamic banks in increasing the number of users of Islamic-based mortgage products. Therefore, a broader Islamic financial education program is needed as well as improving the quality of services and transparency in Islamic banking operations to build customer trust and loyalty..

Accounting theory is a conceptual foundation used to understand, design and evaluate accounting practices in preparing financial reports. This theory consists of a collection of principles, concepts and methods that provide guidance in making accounting decisions as well as in developing financial policies and regulations. The aim of this research is to look at the history of the formulation of accounting theory. In this research the literature study research method is used, namely a data collection method by understanding and studying theories from various literature related to the research.

This study aims to examine the influence of Organizational Culture and Work Environment on the Job Performance of Grab driver-partners, with Job Satisfaction as a mediating variable. A quantitative approach with a causal- explanatory research design was employed, and data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS 4.0 software. A total of 100 respondents were selected using simple random sampling. The findings indicate that Organizational Culture has no significant effect on Job Satisfaction but has a negative and significant effect on Job Performance. In contrast, Work Environment has a positive and significant impact on both Job Satisfaction and Job Performance. Furthermore, Job Performance significantly influences Job Satisfaction and serves as a mediating variable in the relationship between both Organizational Culture and Work Environment on Job Satisfaction. These results offer important implications for human resource management in the digital transportation sector, particularly in enhancing the performance and satisfaction of Grab drivers.