This study focuses on the CAATSA policy issued by the United States regarding efforts to fulfill Indonesia's MEF during the Prabowo Subianto era by adopting Kennet Waltz's neorealism perspective as the basis for analysis in this study. This study uses a descriptive qualitative method with data collection through literature study and interviews with Lieutenant Colonel Dian Diana Rahayu as Head o…
Emotion regulation is the ability of individuals to recognize, manage, and express emotions appropriately, both positive and negative emotions. This ability is important for students because it influences behavior, social relationships, and the learning process at school. However, there are still students who experience difficulties in controlling negative emotions, so guidance and counseling s…
REDD+ (Reducing Emissions from Deforestation and Forest Degradation Plus) is an international mitigation and response to the global environmental issues of climate change and global warming, agreed to be a global mechanism under the UNFCCC through Results-Based Payment (RBP) incentives with gender mainstreaming as part of the Safeguards system that must be reported and accounted for by particip…
This study analyzes the integration of environmental policies undertaken by Bangladesh to fulfill the requirements of the Resilience and Sustainability Trust (RST) loan provided by the International Monetary Fund (IMF) in 2023. The background of this research is based on Bangladesh's high vulnerability to climate change, which has caused various disasters and significantly affected the country'…
This study implements a Conditional Generative Adversarial Network (CGAN) to enhance the contrast of fetal abdominal ultrasound images. The novelty lies in increasing the Reconstruction Loss weight (λL1) to 1000 to ensure structural stability in medical data. Using U-Net and PatchGAN architectures, the model was trained against CLAHE targets. The results demonstrate significant enhancement wit…
Nutrition facts tables on food packaging are a crucial source of information for consumers, but manual data extraction is often inefficient and prone to errors due to varied table structures and small text sizes. This research proposes an automated system for text detection and recognition in nutrition tables by integrating two advanced deep learning models: PaddleOCR and TrOCR. PaddleOCR is em…
This study aims to assess the impact of clothing waste exports from the United Kingdom on the Indonesian economy using the Dependency Theory perspective. The method applied is descriptive qualitative through literature review and document analysis derived from official reports, international trade statistics, government policies, and relevant academic research. The findings of this study indica…
This study aims to determine the influence of economic growth (GDP per capita), inflation, and renewable energy consumption on the Sustainable Development Goals (SDG) Index within the Maqashid Shariah framework. The scope of this research includes five ASEAN countries: Indonesia, Malaysia, Singapore, Thailand, and Vietnam, using secondary data from the period of 2007–2022. The data analysis m…
The use of popular culture symbols in protest actions has become a significant phenomenon in contemporary social movements. This study examines how protest actions employing the One Piece flag symbol across five Asian countries in 2025 can be understood through the perspective of dialogic cosmopolitanism. Distinct local sosial fractures in each nation namely, various protests in Indonesia, the …
The escalating geopolitical and technological rivalry between the United States and China has generated growing concerns over economic security, supply chain resilience, and technological dominance. In response to these dynamics, the United States has adopted protectionist economic policies, reflecting a shift from its long-standing commitment to economic liberalization. This study aims to exam…
Naturalistic intelligence in early childhood refers to the ability to recognize and understand the natural environment. This study aims to describe children's naturalistic intelligence based on environmental exploration behavior in Taman Pesona Bangka Housing Area, Sungailiat District, Bangka Regency. The study used a descriptive quantitative approach with 30 children aged 3–7 years as the sa…
This study analyzes the Indonesian government's policy in handling human trafficking as a transnational crime during Joko Widodo's administration from 2019 to 2024. The increase in human trafficking cases in Southeast Asia has placed Indonesia as one of the countries with the highest number of victims. This study uses a descriptive-analytical qualitative approach with Robert D. Putnam's Iwo-Lev…
This study aims to analyze the effects of rice prices, rice imports, and instant noodle prices on rice production in Indonesia during the 2010–2023 period. A quantitative approach is employed using secondary data analyzed through a Generalized Linear Model (GLM) with a Poisson distribution. The findings reveal that rice prices and instant noodle prices are negatively associated with rice prod…
Increasing global nickel demand driven by the development of the battery and electric vehicle industries has encouraged Indonesia to strengthen its position as one of the world’s leading nickel producers and exporters. This study aims to analyze the effect of nickel ore production, mining sector labor, and Gross Fixed Capital Formation (GFCF) on Indonesia’s nickel product exports during the…
The Musi River estuary waters are a fertile area located in Banyuasin Regency, South Sumatra, representing the confluence between the Musi River and the marine waters of the Bangka Strait. One of the important biological components in aquatic environments is phytoplankton, whose presence can be indicated by chlorophyll-a concentration as a biomass indicator. Chlorophyll-a is a pigment commonly …
his study aims to analyze user sentiment toward the Gojek application using the Long Short-Term Memory (LSTM) method. Review data was obtained through scraping the Gojek application service, resulting in a dataset that was then classified into positive and negative sentiment categories. The data underwent class balancing using the undersampling technique, followed by a pre-processing stage that…
The large and unstructured volume of IMDb movie review data makes it difficult to map the opinions of the audience manually. Therefore, this study aims to develop a sentiment analysis system using BERT to classify IMDb movie reviews into positive and negative categories. The data used is secondary data amounting to 50,000 English-language data. This research stage includes pre-processing of tex…
This study aims to analyze the impact of foreign investment in the Sei Mangkei Special Economic Zone (SEZ) on Indonesia's international economic relations. The Sei Mangkei SEZ, located in Simalungun Regency, North Sumatra, was developed by providing various fiscal and non-fiscal facilities to attract foreign investors and encourage national economic growth. This study uses a descriptive qualita…
ABSTRAK Perkembangan media digital telah mendorong perubahan signifikan dalam strategi komunikasi pemasaran, khususnya pada industri media lokal yang dituntut untuk beradaptasi dengan pergeseran perilaku konsumsi audiens. Media sosial, terutama Instagram, menjadi salah satu platform strategis dalam membangun citra, meningkatkan interaksi, serta mempertahankan eksistensi media lokal. Penelitian …
The development of blockchain technology has increased cryptocurrency transaction activities, especially Ethereum, whose daily transaction volume is highly fluctuating. This condition makes transaction volume prediction important for understanding network activity patterns. This study aims to develop a prediction model for daily Ethereum transaction volume using the XGBoost Regressor algorithm.…
erikut adalah ketikan ulang dari dokumen pada image_d5154e.jpg: The COVID-19 pandemic had a significant impact on the global tourism sector, with Turkey experiencing a drastic decline in 2020. In this context, UNWTO as the UN specialized agency for tourism plays a strategic role in facilitating tourism sector recovery. The programs implemented by UNWTO include Tourism Recovery Tracker to monito…
Background: Acute Kidney Injury (AKI), the most serious complications in critically ill patients admitted to the Intensive Care Unit (ICU). Under these conditions, the required renal replacement therapy modality that can be performed in the ICU is Continuous Renal Replacement Therapy (CRRT). However, the mortality rate remains high in patient with CRRT. This study aims to analyze the relationsh…
Background: An excessive inflammatory response and dysregulation of the immune system in severe sepsis may progress to septic shock and increase mortality. Vitamin D plays an important role in immune modulation. This study aimed to analyze the association between vitamin D levels and sepsis severity and to determine the cut-off point of vitamin D associated with the risk of septic shock in ICU …
Background: Postoperative pain in laparotomy patients poses a significant clinical challenge due to extensive tissue trauma and systemic inflammatory response. Non-opioid multimodal analgesia has become the primary strategy to optimize pain control while minimizing opioid use. A direct comparison between paracetamol–ketorolac and paracetamol–ketamine combinations for postoperative pain mana…
This study aimed to produce a case method-based assessment instrument to measure students’ critical thinking skills. The subjects of this study were Grade XI students of SMA Negeri 1 Indralaya Utara. The method used was Research and Development (R&D) with the ADDIE model. Data collection techniques included interviews, walkthroughs, questionnaires, and observations, while data were analyzed u…
This study aims to analyze how Indonesia's cultural power is represented in the Miss Supranational 2024 pageant as part of a cultural diplomacy strategy and the strengthening of soft power at the global level. This research employs a qualitative approach using a descriptive method through a literature review of documents, academic sources, and data related to the Miss Supranational pageant and …
The development of wearable technology has increased the use of smartwatches as devices that support daily activities and health monitoring. However, the large number of product choices with conflicting specifications and technical criteria makes the smartwatch selection process complex. This study aims to develop a web-based Decision Support System (DSS) for smartwatch selection by integrating…
This research aims to develop an automated sentiment analysis model using a hybrid method of Random Forest (RF) and Support Vector Machine (SVM) to evaluate DANA application user reviews on the Google Play Store. A total of 50,001 secondary review data from Kaggle were used in this study, partitioned into 80% training data and 20% testing data. The analysis process includes text preprocessing a…
Background: Diabetic kidney disease (DKD) is driven by oxidative stress, inflammation, and profibrotic signaling, with transforming growth factor-β (TGF-β) as a key mediator. This trial assessed whether adjunct resveratrol improves serum TGF-β, albuminuria, and glomerular filtration rate (GFR) in adults with DKD. Methods: In a double-blind, randomized, placebo-controlled trial (October 2025…
This study aims to analyze the effect of price, income, religiosity, perception, and product quality on the demand for halal-labeled skincare (a case study of students in Palembang City). This study used primary data from 100 respondents through a non-probability sampling method with an accidental sampling approach. The data were analyzed using multiple linear regression analysis with the assis…