Penerapan Model Pembelajaran Accelerated Learning untuk Meningkatkan Kemampuan Literasi Sains Peserta Didik pada Materi Zat dan Wujudnya

The purpose of study is to determine the feasibility of learning processes and increase science literacy skills of learners using \u27Accelerated Learning\u27 model of learning on the material substance and its form. The method used in this research is pre-experiment. The study was conducted in Triyasa junior high school Bandung class VII-B. The sample in the study were 48 students who were selected using random sampling techniques. Data keterlaksanaan activity of teacher and students is obtained through observation sheets, while data on the literacy skills of learners is obtained through the test description. The results obtained in this study: (1) feasibility study by using \u27Accelerated Learning\u27 \u27model of learning\u27 is in very good category; (2) the literacy skills of learners sins increase in gain results. The magnitude of the increase scientific literacy of students can be seen from the average N-Gain learners of 0.56 categorized being. Thus there is increasing scientific literacy capability of learners through the \u27Accelerated Learning\u27 model of learning in material substance and its form

Analisa Pengaruh Pengendalian Kinerja Proyek Terhadap Mutu Proyek Konstruksi Dengan Menggunakan Uji Statistika

In the construction project planning and controlling is the most basic function in realizing the success of an activity in construction project. A success a project cannot be separated by a series of activities which is included the stages of planning, implementation and controlling. Controlling, monitoring and performance measurement needs to be done as to determine whether there are deviation in the work implementation of what has been set. Then, in this case needs to be analyzed to know the effect of controlling project performance indicators (Occupational Safety and Health, Cost and Time) toward the quality of construction project.The result of the research shows there is simultaneously a positive and significant influence between the variables of Occupational Safety and Health (X1), a Cost variable (X2) and a Time variable (X3) simultaneously toward Quality (Y1) is showed the value Fcount (25.755) is larger than Ftable (2.71) with significance level of 0.000 is smaller than sig. (α) of 0.05.For the partial variable of Occupational Safety and Health (X1) indicates tcount amounted to 3.672 with significance level amount of 0.000 is larger than ttable 1.98667 and a percentage of (37%), a cost variable (X2) indicates tcount amounted to 1.705 with significance level amount of 0.092 is smaller than ttable 1.98667 and a percentage of (17%), and a time variable (X3) is showed value of tcount amounted to 1.705 with significance level amount of 0.334 is smaller than ttable 1.98667 and a percentage amount of (17%)

Characteristics of the Ability of Physics Concept in Enrichment Teaching Materials of Natural and Mineral Resources (NMRs) Literacy

This study is aimed at describing the characteristics of basic physics concepts in materials of science literacy enrichment of natural and mineral resources (NMRs) prepared by students of Physics Education Department, Universitas Islam Negeri Sunan Gunung Djati Bandung. The method of data collection for scientific literacy ability of NMRs is obtained from the description of NMRs, results of describing the enrichment materials of NMRs process, the basic concepts of physics, and context as well as attitudes of students towards NMRs through paper enrichment materials. This study was conducted to 15 documents of enrichment materials made by students. The study concluded that: (1) characteristics of students\u27 ability to describe the physics concepts in literacy enrichment materials NMRs show variation; (2) the ability of describing concept of fundamental physics in five NMRs groups being investigated shows a low gains. The study recommends that the application of material needs developing and teaching media literacy enrichment and physical sciences should have more contextual NMRs for secondary, high school and undergraduate students

Analysis of the Utilization of TikTok as a Financial and Educational Learning Medium

This research delved into the utilization of TikTok as a platform for financial and educational learning. Employing a qualitative approach with a phenomenological design, the study incorporated primary data via interviews, observations of three influencers, and secondary data in the form of TikTok video account information as of April 2022. The findings underscored TikTok’s potential as an impactful medium for financial and educational learning, attributed to its ability to amplify online engagement, consequently fostering revenue generation, augmenting follower counts, and attracting endorsement opportunities. Consequently, TikTok emerges as a valuable avenue for facilitating diverse realms of learning, including the domain of finance

Advanced breakup-nucleon enhancement of deuteron-induced reaction cross sections

Following the EUROfusion PPPT-programme action for an advanced modeling approach of deuteron-induced reaction cross sections, as well as specific data evaluations in addition of the TENDL files, an assessment of the details and corresponding outcome for the latter option of TALYS for the breakup model has been carried out. The breakup enhancement obtained in the meantime within computer code TALYS, by using the evaluated nucleon-induced reaction data of TENDL-2019, is particularly concerned. Discussion of the corresponding results, for deuteron-induced reactions on $^{58}$Ni, $^{96}$Zr, and $^{231}$Pa target nuclei up to 200 MeV incident energy, includes limitations still existing with reference to the direct-reaction account

Propagation of nuclear data uncertainties for ELECTRA burn-up calculations

The European Lead-Cooled Training Reactor (ELECTRA) has been proposed as a training reactor for fast systems within the Swedish nuclear program. It is a low-power fast reactor cooled by pure liquid lead. In this work, we propagate the uncertainties in Pu-239 transport data to uncertainties in the fuel inventory of ELECTRA during the reactor life using the Total Monte Carlo approach (TMC). Within the TENDL project the nuclear models input parameters were randomized within their uncertainties and 740 Pu-239 nuclear data libraries were generated. These libraries are used as inputs to reactor codes, in our case SERPENT, to perform uncertainty analysis of nuclear reactor inventory during burn-up. The uncertainty in the inventory determines uncertainties in: the long-term radio-toxicity, the decay heat, the evolution of reactivity parameters, gas pressure and volatile fission product content. In this work, a methodology called fast TMC is utilized, which reduces the overall calculation time. The uncertainty in the long-term radiotoxicity, decay heat, gas pressure and volatile fission products were found to be insignificant. However, the uncertainty of some minor actinides were observed to be rather large and therefore their impact on multiple recycling should be investigated further. It was also found that, criticality benchmarks can be used to reduce inventory uncertainties due to nuclear data. Further studies are needed to include fission yield uncertainties, more isotopes, and a larger set of benchmarks.Comment: 4 pages, 4 figures, Proc. 2013 International Conference on Nuclear Data for Science & Technology (ND2013), March 4-8, 2013, New York, USA, to be published in Nuclear Data Sheet

Runoff and discharge pathways of microplastics into freshwater ecosystems: A systematic review and meta-analysis

Although many studies have focused on the importance of littering and (or) illegal dumping as a source of plastic pollution to freshwater, other relevant pathways should be considered, including wastewater, stormwater runoff, industrial effluent/runoff, and agricultural runoff. Here, we conducted a meta-analysis focused on these four pathways. We quantified the number of studies, amount and characteristics of microplastics reported, and the methods used to sample and measure microplastics from each pathway. Overall, we found 121 studies relevant to our criteria, published from 2014 to 2020. Of these, 54 (45%) quantified and characterized microplastics in discharge pathways. Although most focused on wastewater treatment plant effluent (85%), microplastic concentrations were highest in stormwater runoff (0.009 to 3862 particles/L). Morphologies of particles varied among pathways and sampling methods. For example, stormwater runoff was the only pathway with rubbery particles. When assessing methods, our analysis suggested that water filtered through a finer (\u3c200 um) mesh and of a smaller volume (e.g., 6 L) captured more particles, and with a slightly greater morphological diversity. Overall, our meta-analysis suggested that all four pathways bring microplastics into freshwater ecosystems, and further research is necessary to inform the best methods for monitoring and to better understand hydrologic patterns that can inform local mitigation

Prevalence of microplastics and anthropogenic debris within a deep-sea food web

Microplastic particles (\u3c5 mm) are ubiquitous throughout global marine ecosystems, including the deep sea. Ingestion of microplastics and other anthropogenic microparticles is reported in diverse marine taxa across trophic levels. Trophic transfer, or the movement of microplastics across trophic levels, is reported in laboratory studies but not yet widely measured in marine food webs. The Monterey Bay submarine canyon ecosystem contains a well-studied, known deep-sea food web in which to examine the trophic fate of microplastics. We measured microplastic abundance across 17 genera spanning approximately 5 trophic levels and a diversity of feeding behaviors. Samples were collected using remotely operated vehicles and oblique midwater trawls, and gut contents of all individuals examined (n = 157) were analyzed for microplastic abundance and other anthropogenic particles greater than 100 μm using stereo microscopy. Microparticles were analyzed with Raman spectroscopy to confirm material type. Anthropogenic particles were found in all genera examined, across crustacean, fish, mollusk, and gelatinous organisms, in amounts ranging from 0 to 24 particles per individual. There was no significant relationship between microplastic amount and fish trophic level, suggesting that the trophic transfer of microparticles is not occurring. Body size was positively correlated with microplastic abundance across all taxa. The fish genus Scomber sp. drove this relationship, suggesting higher microparticle abundance in mobile individuals with broad horizontal distributions. Future work should examine physiological pathways for microplastic transport within organisms (e.g. excretion, accumulation on gills, internal translocation of particles) and between organisms within shared habitats to more fully understand the fate of microplastics within aquatic food webs

Manajemen Gangguan Jaringan Distribusi 20 KV Kota Surabaya Berbasis Geographic Information System (GIS) Menggunakan Metode Algoritma Genetika

Sistem Distribusi merupakan bagian yang tidak terpisahkan dari sistem tenaga listrik.Sistem distribusi merupakan sub sistem tenaga listrik yang yang paling dekat dengan pelanggan yang berfungsi untuk menyalurkan tenaga listrik. Gangguan dalam operasi sistem tenaga listrik merupakan kejadian yang dapat menyebabkan bekerjanya pengaman tenaga listrik. Adanya gangguan pada suatu sistem tenaga listrik atau penyediaan listrik ini tidak dikehendaki, tetapi merupakan Kenyataan yang tidak dapat dihindarkan. Kondisi tersebut tidak bisa dibiarkan dalam waktu lama karena akan membuat kerusakan pada peralatan-peralatan listrik dan menimbulkan kerugian yang besar bagi penyedia listrik. Tindakan untuk mengurangi penurunan tegangan yang cukup besar pada sistem tenaga listrik harus segera diupayakan karena keadaaan tersebut jika dibiarkan secara terus-menerus maka akan menyebabkan terjadinya penurunan keandalan sistem tenaga listrik dan kualitas energi listrik yang disalurkan. Manajemen gangguan merupakan himpunan fungsi proses dari Identifikasi, Isolasi dan Restorasi gangguan. Pada Penelitian ini Isolasi dan restorasi dilakukan dengan metode algoritma genetika dan upaya load shedding pada jaringan yang mengalami drop tegangan. Untuk mendapatkan restorasi yang paling optimal dengan mendapatkan rugi-rugi daya pada jaringan distribusi diharap dengan algoritma genetika daan loadshedding dapat mengatasi gangguan pada jaringan distribusi