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Visible-Light-Induced Photodegradation of Methylene Blue Using Mn,N-codoped ZrTiO4 as Photocatalyst
Composites of manganese and nitrogen-codoped zirconium titanate (Mn,Ncodoped
ZrTiO4) had been synthesized by the sol-gel method as a visible-light responsive
photocatalyst for the photodegradation of methylene blue (MB). Synthesis was conducted
at 25 °C using titanium(IV) isopropoxide, zirconium oxide, urea, and manganese(II)
chloride. Mn,N-codoped ZrTiO4 containing fixed 10% nitrogen dopant (wN/wTi) with
various Mn dopant contents (2, 4, 6, 8, and 10% wMn/wTi) and calcination temperatures
(500, 700, and 900 °C) had been investigated. All of the Mn,N-codoped ZrTiO4 exhibit a
band gap within the visible range (2.51 to 2.74 eV). Photodegradation of MB was
performed under visible light illumination for 120 min. The highest activity was achieved
up to 7.7 μg L−1 min−1, which was obtained from Mn,N-codoped ZrTiO4 calcined at
500 °C containing 6% Mn and 10% N dopants
Dosimetri Pasien sebagai Upaya Proteksi dan Keselamatan Radiasi di Instalasi Kedokteran Nuklir RSUP Dr. Sardjito
Kanker merupakan salah satu penyakit dengan tingkat potensi kematian tertinggi di Indonesia. Tingginya kasus kanker menyebabkan perkembangan teknologi medis di Indonesia semakin ditingkatkan. RSUP Dr. Sardjito merupakan rumah sakit yang menjadi salah satu instansi pelayanan kesehatan dengan teknologi perawatan untuk pasien kanker yang cukup lengkap dengan terdapat Instalasi Radioterapi dan Kedokteran Nuklir. Fisika Medis merupakan salah satu bidang kedokteran yang mengaplikasikan fenomena fisika khususnya teknologi nuklir yang digunakan dalam dunia medis sehingga diperlukan upaya khusus dalam meningkatkan kualitas sumber daya manusia (SDM) agar siap menghadapi persaingan dalam dunia kerja.
Pada Kerja Praktik ini, telah banyak dilakukan pembelajaran baik dan praktik terkait bidang fisika medis terutama di Instalasi Kedokteran Nuklir seperti proteksi radiasi, kendali mutu modalitas, radiofarmaka, serta tugas khusus terkait dosimetri pasien yang bertujuan untuk menjaga dosis pasien agar seminimal mungkin. Selain pemahaman hardskill, mahasiswa juga memperoleh keterampilan softskill seperti budaya kerja serta pengetahuan tentang pola kerja, perilaku kerja, dan etika profesional sebagai referensi pengetahuan sebelum memasuki dunia kerja yang sesungguhnya
Thickness and Material Analysis of the Radiation Shielding in 30 MeV Cyclotron Room for BNCT using Particle and Heavy Ion Transport code System (PHITS)
Boron Neutron Capture Therapy (BNCT) is a cancer therapy developed using cyclotron-based research with 30 MeV. High energy in this installation can endanger workers and the public nearby. Radiation shields are essential to prevent
accidents from radiation exposure above safety limits, particularly in the high-energy cyclotron room with a higher risk of radiation dose leakage.
Constructing a radiation shield for the cyclotron room includes selecting materials and determining shield thickness. Materials tested include concrete, barite
concrete, and boron concrete. Dose rate calculations were executed using a T-track tally in the Particle and Heavy Ions Transport Code System (PHITS) program.
Based on the research results, the radiation shielding of the three materials shows a dose rate below the standard limit of 0.25 µSv/h allowed by BAPETEN and ICRP 60. Concrete has a maximum dose of 0.248 µSv/h with a thickness of
290 cm, barite concrete has a dose of 0.22 µSv/h with a thickness of 226 cm and boron concrete has a dose of 0.18 µSv/h with a thickness of 197 cm. Therefore, all three materials can be used as options for building radiation shields, each with its own advantages and disadvantages
Analisis Penambahan Burnable Poison pada Bahan Bakar RSG-GAS Menggunakan Simulasi Perhitungan Lattice WIMSD-5B
Kerja praktik berjudul “Analisis Penambahan Burnable Poison pada Bahan Bakar terhadap Nilai Koefisien DTC dan MTC di teras RSG-GAS Menggunakan Simulasi Perhitungan Lattice WIMSD-5B” ini dilaksanakan di Pusat Riset dan Teknologi Reaktor Nuklir (PRTRN) di Badan Riset dan Inovasi Nasional (BRIN). Kerja praktik dilakukan untuk memperpanjang umur bahan bakar RSG-GAS melalui penambahan komposisi dari U-235 serta penambahan burnable poison (BP) Gd2O3, B4C, Er2O3, dan Al2O3 sebagai kompensator reaktivitas berlebih dan mengetahui parameter keselamatan operasi reaktor setelah penambahan komposisi U-235 dan BP. Analisis penambahan BP dan parameter keselamatan operasi reaktor berupa koefisien DTC dan MTC menggunakan simulasi model perhitungan lattice
dengan paket program WIMSD-5B. Penambahan BP yang cocok adalah Er2O3. Nilai kinf pada penambahan variasi 2%, 4%, 6% dan 8% Er2O3 berturut turut adalah 1.52, 1.43, 1.35, dan 1.27 untuk jumlah uranium per elemen bakar 300 gr serta 1.53, 1.43, 1.34, dan 1.27 untuk jumlah uranium per elemen bakar 400 gr. Nilai DTC pada penambahan variasi 2%, 4%, 6% dan 8% Er2O3 berturut turut adalah -1.77 pcm/K, -1.95 pcm/K, -2.13 pcm/K, dan -2.33 pcm/K untuk jumlah uranium per elemen bakar 300 gr serta -1.93 pcm/K, -2.15 pcm/K, -2.38 pcm/K, dan -2.61 pcm/K untuk jumlah uranium per elemen bakar 400 gr. Nilai MTC pada penambahan variasi 2%, 4%, 6% dan 8% Er2O3 berturut turut adalah -1.88 pcm/K, -3.21 pcm/K, -4.56 pcm/K, dan -5.91 pcm/K untuk jumlah uranium per elemen bakar 300 gr serta -1.71 pcm/K, -3.01 pcm/K, -4.32 pcm/K, dan -5.61 pcm/K untuk jumlah uranium per elemen bakar 400 gr
Utilization of Planetscope Imagery for Carbon Stock Estimation of Standing Green Open Space in Jebres Sub-District, Surakarta
The availability of green open space in urban areas is decreasing in line with the increase in population and land use change, which affects carbon stocks and CO2 levels in the air. The less green open space, the less carbon stock is stored. This study aims to determine the spatial distribution of green open space with PlanetScope images and estimate the carbon stock of standing green open space in Jebres, Surakarta. The methods used were allometric equation and linear regression analysis. Sample plots in the field were determined by Stratified Random Sampling. Planetscope images could map green open space with an accuracy rate of 91.3 and an area of 2.0257 km2 consisting of green open space in grass, shrubs, and stands. The results of biomass estimation with NDVI vegetation index and biomass measurement in the field were 0.17563 to 1.93544 tons/pixel, resulting in an estimated carbon stock of 0.0000046 tons/pixel - 0.768 tons/pixel. The accuracy test in this study uses the Standard Error of Estimation (SEE) with a SEE value of 0.256367, a minimum error of 2.35, and a maximum error of 3.95, thus proving that Planetscope images can estimate green open space carbon stocks accurately. © 2023 EDP Sciences. All rights reserved
Volcanic hazard knowledge and preparedness of small island community on the flank of Gamalama volcano Ternate Island–Indonesia
A study of volcanic hazard knowledge and preparedness of communities living on the flanks of Gamalama Volcano, on the small island Ternate, was conducted in January–February 2019. A total of 1265 respondents participated in a questionnaire-based survey using 42 questions to inquire about community knowledge of natural disasters and volcanic hazards, community preparedness, and the correlation between community knowledge and preparedness. The results showed that the majority of respondents selected from the small island community had good knowledge of natural disasters and volcanic hazards and were also well-prepared. There are positive correlations between knowledge of natural disasters and volcanic hazards; the latter is also positively linked to preparedness. Long experience in dealing with the eruptions of Gamalama in the past has raised local people’s awareness of volcanic hazards, which in turn increases their preparedness. Such understanding and preparedness are inseparable from the abundant dissemination channels of details on eruption threats and risks on Ternate Island, including televisions, the internet, radios, government officials, and non-governmental organizations. © 2022, The Author(s), under exclusive licence to Springer Nature B.V
Urban Green Space Segmentation in Planet Scope Satellite Images Based on the Improvement of U-Net Architecture
Urban Green Space is one of the important areas in urban areas which is characterized by the presence of vegetation and is a factor in determining temperature and air quality in urban areas. It plays an important role in balance, comfort, health, sustainability, and improving the quality of human life. Research on deep learning using satelliteimagery, especially in urban green space segmentation, is still very rare. Therefore, we conducted research with deep learning in urban green space segmentation using satellite imagery. We made improvements from previous researchersby using U-Net architecture to segment urban green space with planet scope satellite images in Sleman Regency and Yogyakarta City. The dataset that we have has a resolution of 3m and 4 bands, namely Red, Green, Blue and Nir. From the results of the training model, our method gets the smallest loss with a value of 0.012 for training and 0.0006 for validation. Our method obtains an IoU score of 90.68 which outperforms previous studies with our dataset. © 2023 American Institute of Physics Inc.. All rights reserved
The dynamic and spatial distribution analysis of labour condition in Lampung Province before and during the COVID-19
This study aims to determine the Labour Force Participation Rate (LFPR), Employment to Population Ratio (EPR), Open Unemployment Rate (OUR), Underemployment Rate (UER), labour force and open unemployment based on education, gender, and rural-urban areas. It examines the employment conditions of Lampung Province before COVID-19 based on the years 2017-2019, while during COVID-19 based on the year 2020. The analysis carried out is a quantitative and qualitative descriptive method using secondary data from SAKERNAS 2017-2020. The results show that Lampung Province's LFPR level has an insignificant upward trend from 2017-2020 with an average increase of 0.77. The EPR tends to increase from year to year except in 2019 which decreased by 0.56. OUR decreased by 0.29 in 2018, was constant in 2019, and increased dramatically in 2020 by 0.64. The workforce according to the highest education has increased in 2017-2020. The number of workforce 2017-2020 in rural areas is twice as much as in urban areas, with the characteristics of the growth of the workforce always being accompanied by an increase in the number of unemployed. The population of the Lampung Province workforce in 2017-2020 is still male dominated, a gap in job opportunities for the female population still exists. © 2023 EDP Sciences. All rights reserved
Spatial model of Dengue Hemorrhagic Fever (DHF) risk: scoping review
Background: Creating a spatial model of dengue fever risk is challenging duet to many interrelated factors that could affect dengue. Therefore, it is crucial to understand how these critical factors interact and to create reliable predictive models that can be used to mitigate and control the spread of dengue. Methods: This scoping review aims to provide a comprehensive overview of the important predictors, and spatial modelling tools capable of producing Dengue Haemorrhagic Fever (DHF) risk maps. We conducted a methodical exploration utilizing diverse sources, i.e., PubMed, Scopus, Science Direct, and Google Scholar. The following data were extracted from articles published between January 2011 to August 2022: country, region, administrative level, type of scale, spatial model, dengue data use, and categories of predictors. Applying the eligibility criteria, 45 out of 1,349 articles were selected. Results: A variety of models and techniques were used to identify DHF risk areas with an arrangement of various multiple-criteria decision-making, statistical, and machine learning technique. We found that there was no pattern of predictor use associated with particular approaches. Instead, a wide range of predictors was used to create the DHF risk maps. These predictors may include climatology factors (e.g., temperature, rainfall, humidity), epidemiological factors (population, demographics, socio-economic, previous DHF cases), environmental factors (land-use, elevation), and relevant factors. Conclusions: DHF risk spatial models are useful tools for detecting high-risk locations and driving proactive public health initiatives. Relying on geographical and environmental elements, these models ignored the impact of human behaviour and social dynamics. To improve the prediction accuracy, there is a need for a more comprehensive approach to understand DHF transmission dynamics. © 2023, The Author(s)
Built-Up Area Changes, Spatial Pattern and Urban Sprawling in Kedungsepur Metropolitan Area
Kedungsepur is a metropolitan city in Indonesia designated as a national strategic area. With the increasing population, the demand for land for urban activities has also risen, leading to the conversion of undeveloped land into built-up areas. However, few studies have measured land use changes in developing countries, especially in metropolitan areas. This article delves deeper into this subject. While the development of big cities in Indonesia has led to physical expansion, uncontrolled growth has caused urban sprawl in the urban fringe of the core city and suburban areas, as well as in the metropolitan context comprising core and satellite cities. Planning the city's physical growth is crucial to prevent uncontrolled and sporadic urban sprawl. Urban sprawl studies in Indonesian metropolitan areas, particularly those using high-resolution satellite images, are still uncommon. This article uses Sentinel 2A imagery to qualitatively interpret urban sprawl patterns and quantitatively analyze spatial patterns using the nearest neighborhood analysis technique in ArcGIS software. The results reveal that the Kedungsepur Metropolitan Area is experiencing a sprawling leapfrog type of urban sprawl. These findings are crucial for monitoring and improving urban spatial planning in the future. © 2023 WITPress. All rights reserved