Road damage is an infrastructure problem that affects road user safety and transportation efficiency. Manual road damage detection is considered inefficient due to the large amount of time, labor, and cost required, as well as its subjective nature. Therefore, this study aims to develop an automatic road damage detection system based on computer vision using deep learning methods. This research…
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This study aims to analyze the role of Japan International Cooperation Agency (JICA) in strengthening Intellectual Property Rights (IPR) protection and legal consistency in Indonesia through the project “Project on Intellectual Property Right Protection and Legal Consistency for Improving Business Environment.” The research is motivated by the high level of IPR violations in Indonesia, such…
Penelitian ini bertujuan untuk mengetahui bentuk modal sosial pengusaha kayu di Desa Kenten Laut serta peran modal sosial dalam mendorong keberlangsungan usaha mereka. Penelitian ini menggunakan pendekatan deskriptif kualitatif dengan teknik pengumpulan data melalui wawancara, observasi, dan dokumentasi. Informan dalam penelitian ini terdiri dari pengusaha kayu, pekerja, pemasok bahan baku, dan…
In this study, the feature selection method employed is the Genetic Algorithm (GA), while the classification method used is the Support Vector Machine (SVM), with the aim of improving the performance of myocardial infarction disease classification. The study utilizes the Myocardial Infarction Complications dataset, which consists of 123 features. The research process includes several preprocess…
Myocardial infarction complications require early, accurate prediction for clinical intervention. This study optimizes the K-nearest neighbor (KNN) algorithm to classify these complications using Z-Score normalization and three feature selection methods: Information Gain, Gain Ratio, and Symmetrical Uncertainty.Using a dataset from the UCI Machine Learning Repository, preprocessing included mea…
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…