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Dynamics of CO2 Emission Flux from the Vegetation Canopy Percentage in the Suropati City Park Ecosystem Elvira, Ade Irma; Ramadhani, Muhammad Reza; Patria, Mufti Petala; Nurdin, Erwin; Vasenev, Ivan Ivanovich
ADALAH Vol 9, No 6 (2025)
Publisher : UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/adalah.v9i6.44821

Abstract

In recent years, fossil fuel usage and industrial activities have significantly increased, leading to higher greenhouse gas emissions and impacting global temperature, contributing to global warming and climate change. The carbon footprint measures these emissions through carbon flux rates, influenced by climate conditions, soil and water uptake, organic matter, and microbial activities. The experiment used a gas analyzer and gas chromatograph to measure samples under three conditions. The highest average flux rate was in fully enclosed vegetation (4.04 g CO2/m²/day), followed by not enclosed vegetation (4.01 g CO2/m²/day), and the lowest was 3.91 g CO2/m²/day. Results indicate that vegetation and urban parks reduce CO2 emission fluxes, with each area's vegetation state affecting soil and air temperature, pH content, and soil moisture. However, many aspects such as soil type and climate cognition can influence fluctuation of carbon fluxes in each condition.
Retinal Blood Vessel Segmentation Based on Encoder and Decoder Networks Using Weighted Cross Entropy Loss Function Qomariah, Dinial Utami Nurul; Tjandrasa, Handayani; Elvira, Ade Irma
ADALAH Vol 9, No 6 (2025)
Publisher : UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/adalah.v9i6.44857

Abstract

Retinal disease that has a major impact on human vision is diabetic retinopathy. Diabetic retinopathy is a disease caused by advanced diabetic mellitus. Early detection of the disease is very importance. An automated system that can recognize retinal blood vessel abnormalities is very useful for providing quick information to prevent further damage to the retina. In this study, we propose an automated system for segmenting the blood vessels in retinal fundus images using semantic segmentation based on pre-trained from VGG transfer learning and using median frequency balancing weights for the cross entropy loss function. The median frequency weights are to balance the importance of blood vessel and background pixels to get more accurate training results. The integration of encoder and decoder networks utilizing VGG transfer learning and semantic segmentation can segment retinal blood vessels with a sensitivity value of 85.48% using the DRIVE and STARE database.
Меры по предотвращению экологических коррупционных преступлений (Measures to Prevent Environmental Corruption Crimes) Elvira, Ade Irma; Nasution, Latipah
Jurnal Cita Hukum Vol. 7 No. 3 (2019)
Publisher : Fakultas Syariah dan Hukum, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jch.v7i3.13630

Abstract

AbstractThe international conference on the environment which was held in Stockholm, Sweden in 1972 to Rio de Janeiro 1992, to Rio + 10 in Johannesburg 2002, emphasized the need for coordination and integration between natural resources, human resources, and artificial resources in every national development, with a population, development approach, and the environment to the integration of social, economic and environmental aspects. The Government of Indonesia is committed to carrying out sustainable development with various efforts, one of which is the issuance of environmental permits. The environmental damage that occurs in the region, is the responsibility of local governments as a whole from the existence of the authority to issue permits granted. Corruption in the environmental sector is a barrier to the path of sustainable development. Licensing is one of the instruments to prevent natural damage as well as controlling environmental management activities. But on the other hand, licensing is a fertile ground for corrupt practices that hinder sustainable development. The purpose of this study is to provide an understanding of the importance of supervision of licensing for the creation of the concept of environmentally sustainable development. The research method used is a normative juridical research method that is descriptive analysis through doctrinal law review. It can be concluded that environmental problems and obstacles that occur in the licensing sector are often mixed with corrupt practices by the government which has the authority to give permits. This has caused delays in sustainable development and damage to the environment which has an impact on the community's economic sector.Keywords: Natural Resources (SDA), Licensing, Local Government Authority, Corruption Abstrak Konverensi internasional tentang lingkungan yang dilaksanakan di Stockholm, Swedia pada 1972 menuju Rio de Janeiro 1992, sampai dengan Rio + 10 di Johanesburg 2002, menekankan perlu adanya koordinasi dan integrasi antara SDA, SDM, dan sumberdaya buatan dalam setiap pembangunan nasional, dengan pendekatan kependudukan, pembangunan, dan lingkungan sampai dengan integrasi aspek sosial, ekonomi, dan lingkungan. Pemerintah Indonesia berkomitmen melaksanakan pembangunan berkelanjutan dengan berbagai upaya, salah satunya dalam penerbitan izin lingkungan. Kerusakan lingkungan yang terjadi di daerah, merupakan tanggung jawab pemerintah daerah sebagai satu kesatuan dari adanya kewenangan mengeluarkan perizinan yang diberikan. Korupsi yang terjadi di sektor lingkungan merupakan penghalang jalannya pembangunan berkelanjutan. Perizinan merupakan salah satu instrumen pencegah kerusakan alam sekaligus sebagai pengendali aktifitas pengelolaan lingkungan hidup. Namun disisi lain, perizinan menjadi ladang subur terjadinya praktik korupsi yang menghambat pembangunan berkelanjutan. Tujuan penelitian ini untuk memberikan pemahaman terkait pentingnya pengawasan terhadap perizinan demi terciptanya konsep pembangunan berkelanjutan berwawasan lingkungan. Metode penelitian yang digunakan yaitu metode penelitian yuridis normatif yang bersifat deskriptif analisis melalui pengkajian hukum doctrinal.Dapat disimpulkan bahwa permasalahan lingkungan hidup dan hambatan yang terjadi ada pada sektor perizinan seringkali dicampuri dengan praktik korupsi oleh pemerintah yang berwenang memberikan izin. Hal ini menimbulkan terhambatnya pembangunan berkelanjutan serta kerusakan pada lingkungan yang berdampak pada sektor perekonomi masyarakat.Kata kunci: Sumber Daya Alam (SDA), Perizinan, Kewenangan Pemerintah Daerah, Korupsi АннотацияМеждународная конференция по проблемам окружающей среды состоялась В Стокгольме, Швеция в 1972 году. По результатам этой конференции Индонезия взяла на себя обязательство осуществлять устойчивое развитие, и по сей день предпринимает различные усилия для поддержания этой договоренности. Коррупция в области охраны окружающей среды и природных ресурсов является препятствием на пути устойчивого развития. Лицензирование является одним из инструментов предотвращения разрушения природы, а также контроля за деятельностью по управлению окружающей средой. С другой стороны, лицензирование также становится благодатной почвой для коррупции. Местные органы власти в этом случае имеют право выдавать разрешения на деятельность, которая может нанести экологический ущерб в данной местности. Целью данного исследования является оценка деятельности в области лицензирования в экологической сфере и перспектив устойчивого экологического развития в Индонезии. Основным методом исследования была оценка нормативно-правовых актов в сфере экологического регулирования. На основании описательного анализа можно сделать вывод, что препятствия, возникающие на уровне отраслевого лицензирования, часто решаются методами коррупции со стороны государственных органов, что препятствует устойчивому развитию экологической сферы, наносит ущерб окружающей среде и препятствует развитию экономики.Ключевые слова: природные ресурсы (ПДД), лицензирование, Местные органы власти, коррупция
Dynamics of CO2 Emission Flux from the Vegetation Canopy Percentage in the Suropati City Park Ecosystem Elvira, Ade Irma; Ramadhani, Muhammad Reza; Patria, Mufti Petala; Nurdin, Erwin; Vasenev, Ivan Ivanovich
BULETIN ADALAH Vol. 9 No. 6 (2025)
Publisher : UIN Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/adalah.v9i6.44821

Abstract

In recent years, fossil fuel usage and industrial activities have significantly increased, leading to higher greenhouse gas emissions and impacting global temperature, contributing to global warming and climate change. The carbon footprint measures these emissions through carbon flux rates, influenced by climate conditions, soil and water uptake, organic matter, and microbial activities. The experiment used a gas analyzer and gas chromatograph to measure samples under three conditions. The highest average flux rate was in fully enclosed vegetation (4.04 g CO2/m²/day), followed by not enclosed vegetation (4.01 g CO2/m²/day), and the lowest was 3.91 g CO2/m²/day. Results indicate that vegetation and urban parks reduce CO2 emission fluxes, with each area's vegetation state affecting soil and air temperature, pH content, and soil moisture. However, many aspects such as soil type and climate cognition can influence fluctuation of carbon fluxes in each condition.
Retinal Blood Vessel Segmentation Based on Encoder and Decoder Networks Using Weighted Cross Entropy Loss Function Qomariah, Dinial Utami Nurul; Tjandrasa, Handayani; Elvira, Ade Irma
BULETIN ADALAH Vol. 9 No. 6 (2025)
Publisher : UIN Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/adalah.v9i6.44857

Abstract

Retinal disease that has a major impact on human vision is diabetic retinopathy. Diabetic retinopathy is a disease caused by advanced diabetic mellitus. Early detection of the disease is very importance. An automated system that can recognize retinal blood vessel abnormalities is very useful for providing quick information to prevent further damage to the retina. In this study, we propose an automated system for segmenting the blood vessels in retinal fundus images using semantic segmentation based on pre-trained from VGG transfer learning and using median frequency balancing weights for the cross entropy loss function. The median frequency weights are to balance the importance of blood vessel and background pixels to get more accurate training results. The integration of encoder and decoder networks utilizing VGG transfer learning and semantic segmentation can segment retinal blood vessels with a sensitivity value of 85.48% using the DRIVE and STARE database.
Automatic Pill Detection Using Faster R-CNN with an AlexNet Backbone Elvira, Ade Irma; Kurniasar, Arvita Agus; Maulana, Bima Wahyu; Nurul Qomariah, Dinial Utami
Jurnal Multidisiplin West Science Vol 4 No 12 (2025): Jurnal Multidisiplin West Science
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/jmws.v4i12.3068

Abstract

Object detection is a crucial component in the development of automated systems in the healthcare domain, particularly in pharmaceutical applications such as pill identification and management. One of the main challenges in image-based pill detection systems is achieving high accuracy and robust generalization under variations in pill shape, color, and illumination conditions. This study applies the Faster R-CNN framework with an AlexNet backbone to detect and classify pill objects in digital images. The model is trained using multiple epoch configurations to analyze the effect of training duration on detection performance. Experimental results show that the proposed approach achieves an accuracy of up to 98%, demonstrating strong detection capability. Increasing the number of training epochs improves the stability and consistency of pill recognition. These results indicate that AlexNet-based Faster R-CNN is effective for pharmaceutical applications, particularly in drug distribution, packaging, and pill counting systems that require high precision and reliability.
Soil CO₂ Emissions in Jakarta Urban Forests: The Role of Canopy Cover Versus Environmental Factors Elvira, Ade Irma; Arif, Ibrahim; Nainggolan, Carla Mariana; Renita, Destia Puri Prela; Putri, Nadia Asmawari; Patria, Mufti Petala; Nurdin, Nurdin; Vasenev, Ivan Ivanovich
Jurnal Manajemen Hutan Tropika Vol. 32 No. 1 (2026)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.7226/jtfm.32.1.27

Abstract

Increasing carbon dioxide (CO2) emissions encourages global warming and climate change. Soil can store CO2 emissions, which are absorbed by vegetation. Studies on the dynamics of soil CO2 gas emission fluxes with differences in the percentage of vegetation canopy cover in the urban forest ecosystem of the Jakarta Region have never been frequently carried out. This research aims to analyze and compare the dynamics of soil CO2 gas emission fluxes in the urban forest ecosystem of the Jakarta Region with different percentages of vegetation canopy cover and analyze the relationship between air temperature, soil moisture, soil temperature, and soil acidity (pH) with carbon gas emission fluxes soil dioxide. The research method used is the greenhouse gas capture method, which uses a chamber to measure environmental factors and data analysis using the Kruskal-Wallis test and Spearman correlation. The results showed no significant difference between the percentage of vegetation canopy cover in the urban forest ecosystem and the soil CO2 gas emissions flux. Environmental factors related to the flux of CO2 emissions from soil in the urban forest ecosystem of the Jakarta Region are soil moisture and soil pH. Further research is recommended to measure other environmental factors, such as nutrients and soil organic carbon, to obtain more comprehensive research results on the dynamics of soil CO2 gas emission fluxes.
Automatic Pill Counting Using YOLOv8 to Improve Medication Distribution Accuracy Nurul Qomariah, Dinial Utami; Elvira, Ade Irma; Agus Kurniasari, Arvita; Wahyu Maulana, Bima
International Journal of Public Health Excellence (IJPHE) Vol. 5 No. 2 (2026): January-May
Publisher : PT Inovasi Pratama Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55299/ijphe.v5i2.1724

Abstract

Object detection is a critical component in various modern applications, including healthcare systems, smart agriculture, and industrial automation. The main challenge in developing detection systems lies in achieving high accuracy and strong generalization capabilities under diverse image conditions. This study aims to implement and evaluate the YOLOv8 model, a detection method known for its speed and efficiency. The model is trained using two scenarios—10 epochs and 50 epochs—to examine the impact of training duration on system performance. Evaluation results show that training for 10 epochs produces very good performance, with a precision of 0.98, recall of 0.94, and mAP of 0.98. Increasing the training to 50 epochs yields even more optimal results, achieving a precision of 0.99, recall of 1.00, and mAP of 0.99. Based on these findings, YOLOv8 demonstrates excellent adaptability to the dataset and is suitable for real-time detection applications that require high accuracy