bluuebunny/crossref_metadata_2025 huggingface dataset:
From virtual machines to serverless: NWP Postprocessing at Finnish Meteorological Institute
Authors: Partio Mikko
Published: June 2022

Finnish Meteorological Institute (FMI) provides weather forecasts for a variety of users, including aviation, agriculture, media and the general public. FMI spends significant resources to prepare meteorological data and products to suit our specific needs, dictacted by our geography and culture. Our data-oriented production system forces us to constantly develop novel methods to keep up with the increasing data volume of NWP. Like many other organisations FMI started to move towards cloud computing in the first half of 2010s, a process which is still continuing today. Cloud computing has given us new tools to handle the increasing data volume. 

 

While we initially started with a “virtual machines in the Cloud” approach, a more holistic adaption to modern, cloud-native technologies such as S3, Kubernetes and AWS Lambda has enabled us to expand our operations efficiently and flexibly. While we are not a cloud-first organization, our on-premise computing infrastructure has also been upgraded to match the common cloud technologies. This streamlines the operating environment as same software stacks can be used on-prem and in the cloud. Using containers is increasingly important as it makes easier to move code between systems. Containers offer natural isolation from operating system upgrades, which is important when pace of development is high and software depends on specific library versions.

 

A big challenge still facing us is the support of software that is not easily translated to cloud workflows. In the meteorological domain this is rather common as software has long lifetime and code refactoring is in many cases not feasible. We must also ensure that our users and developers maintain their skills and knowledge as new technologies come and go.
Assimilation of Nowcast Objects in the Regional Forecast Model ICON-LAM 
Authors: Neef Lisa , Blahak Ulrich , Welzbacher Christian , Pante Gregor , Potthast Roland , Zacharuk Matthias
Published: June 2022

A primary goal of the upcoming Rapid Update Cycle (RUC) at the German weather service is to close the gap between nowcasts (NWC) and numerical weatherp prediction (NWP) by adding cloud- and precipitation-related observations to the operational data assimilation. However, the NWP and NWC worlds differ not just by timescale but also more fundamentally in their approach:  while NWCs deal with individual convective cells, i.e. coherent objects whose positions and physical features are tracked, NWP systems and their associated data assimilation deal with gridded information, i.e. pixels of data.

To bridge these two worlds, we have developed a unique aproach of assimilating nowcast objects into an NWP model. The crux of the idea is to identify objects first, and then map the individual physical features of each object onto a regular model grid. In this talk we explore two ways of implementing this idea: The first defines objects simply by whether or not the observed radar reflectivity exceeds a given threshold, and then assimilates the gridded fraction of gridpoints that meet this criterion within a given spatial scale. The second approach defines objects using a more complex cell identification and tracking algorithm, and then grids the associated cell attributes (e.g. cell area) based on the distance of each gridpoint from the object centroid. We then go on to show how both of these approaches allow us to assimilate object-based information into an ensemble filter, focusing in particular on the difficulties of such an unconventional observation operator, as well as the possible complimentarity to conventional radar reflectivity assimilation.
Urban Environments and Regional Climate Change - CORDEX Flagship Pilot Study URB-RCC
Authors: Halenka Tomas , Langendijk Gaby
Published: June 2022

Cities play a fundamental role on climate at local to regional scales through modification of heat and moisture fluxes, as well as affecting local atmospheric chemistry and composition, alongside air-pollution dispersion. Vice versa, regional climate change impacts urban areas and is expected to increasingly affect cities and their citizens in the upcoming decades. Simultaneously, the share of the population living in urban areas is growing, and is projected to reach about 70 % of the world population up to 2050. This is especially critical in connection to extreme events, for instance heat waves with extremely high temperatures exacerbated by the urban heat island effect, in particular during night-time, with significant consequences for human health. Additionally, from the perspective of recent regional climate model developments with increasing resolution down to the city scale, proper parameterization of urban processes is starting to play an important role to understand local/regional climate change. This is valid for coupled atmospheric chemistry as well, thus even air pollution modelling has to consider the urban environment. The inclusion of the individual urban processes affecting energy balance and transport (i.e. heat, humidity, momentum fluxes, emissions) via special urban land-surface interaction parameterization of distinct local processes becomes vital to simulate the urban effects properly. This will enable improved assessment of climate change impacts in the cities and inform adaptation and/or mitigation options by urban decision-makers, as well as adequately prepare for climate related risks (e.g. heat waves, smog conditions etc.). Cities are becoming one of the most vulnerable environments under climate change. In 2013, the CORDEX community identified cities to be a prime scientific challenge. Therefore, we proposed this topic to become an activity at CORDEX platform, within the framework of so-called flagship pilot studies, which was accepted and the FPS URB-RCC activity was started in May 2021. Main aims and planning of this activity will be presented together with a call for potential participation in ensemble experiment for selected city following adopted coordinated simulations protocol. Preliminary results from the analysis of already available data will be presented as well.
A radar based statistical forecast product for heavy precipitation
Authors: Hess Reinhold
Published: June 2022

Reliable forecasts of heavy precipitation are one of the most difficult challenges in weather forecasting. Highest precipitation rates of convective events usually realise more likely in the surrounding of rain gauges rather than exactly above their small funnels and are therefore not always detected by this observation system. Precipitation rates of more than 15 mm per hour are captured only about once a year at each rain gauge within Germany and more extreme events are even less frequent. Statistical forecasts of these point observations often underestimate maximum rain rates and result in low probabili­ties for the occurrence of heavy precipitation at a given location.

The spatial coverage of DWD’s radar network allows to detect local precipitation events in the vicinity of synoptic stations and increases representativity and predictive skill of statistical forecasts of heavy convection. The suggested approach derives spatial 95%-quantiles in circular surroundings of 40 km radius as an innovative forecast product in order to support forecasters to rate upcoming heavy precipative events. 95%-quantiles of rain gauge adjusted radar precipitation are chosen in order to estimate the maximum precipitation amount in the circular surroundings, whilst they are robust against spurious spikes in the radar data.

For statistical training several years of data are used in a model output statistics (MOS) approach that is based on numerical ensemble forecasts of the COSMO-DE/2-EPS of DWD. Resulting statistical forecasts are presented for different relevant precipitation scenarios. Probabilities for heavy precipitation rates show enhanced signals for upcoming convective and also stratiform events compared to corresponding statistical forecasts based on conventional synoptic observations. Verifications of raw COSMO-DE/2-EPS forecasts are likewise included.

Main focus, however, are the relevance and acceptance of the presented new radar product for forecasters and the public with regard to weather warnings of heavy precipitation.
The World Meteorological Organization climate services information system: Opportunities and challenges for co-developing climate services and tailored products addressing national and regional user needs
Authors: Moufouma-Okia Wilfran , Hovsepyan Anahit
Published: June 2022

Credible climate information, products and services are important elements in the decision-making matrix for effective climate risk management and support to adaptation options, particularly in the context of climate change, which threatens many facets of planetary inhabitability and human well-being. Operationalizing the provision of climate information services requires standards and a well-coordinated end-to-end institutional system that begins with monitoring and generating climate information of high quality and ends with a community level response. Furthermore, agile approaches are required to translate research into operational services and inform decisions that can account for climate risks and opportunities.  

This presentation outlines the World Meteorological Organization strategy for implementing the climate services information system (CSIS) at regional and national scales, highlighting linkages with research and operationalization efforts such as objective climate prediction approach that enable enhanced generation of regionally relevant climate information and tailored products, and emphasizes the importance of sustaining these efforts. The EU-funded Intra-ACP Climate Services Programme (ClimSA) is used to showcase how 79 members of the African, Caribbean and Pacific Group of States (ACP) work with WMO and partners to implement the climate services value chain in priority climate sensitive sectors. CSIS is WMO primary mechanism to routinely collate, store, process information about past, present, and future climates and make it available from global to regional and national levels to support climate services around the world. It is supported the by development of global and regional systems infrastructure, mainly through WMO Global Producing Centres for Long Range Forecasts (GPCs-LRF), GPCs of Annual to Decadal Climate Prediction (GPCs-ADCP), Regional Climate Centres (RCCs), and Regional Climate Outlook Forums (RCOFs).
Preliminary results from the CLouds And Radiation in the Arctic and Antarctica (CLARA2) project
Authors: Pace Giandomenico , Di Iorio Tatiana , Di Sarra Alcide , Iaccarino Antonio , Meloni Daniela , Muscari Giovanni , Cacciani Marco , Cimini Domenico , Larosa Salvatore , Romano Filomena
Published: June 2022

The Arctic region is showing the most intense warming of the globe, because of different regional feedback mechanisms. Both observed and projected warming rates reach a maximum in the autumn and winter seasons (Bintanja and Krikken, 2016), when the Arctic surface energy budget is dominated by longwave radiation. Indeed, due to the seasonal variation of the of shortwave radiation, the longwave radiation plays a key role in the Arctic, where the annual total Downward Longwave Irradiance (DLI) is usually more than twice as large as the annual downward shortwave irradiance. Nevertheless, surface longwave irradiance measurements in the Arctic are particularly scarce, and satellite retrievals of surface radiation budget based on satellite data are notoriously problematic at high latitudes.

High resolution observations of DLI, surface temperature, water vapour surface partial pressure and column amount, zenith sky IR radiance and vertical temperature profile derived by a microwave radiometer are routinely carried out at the Thule High Arctic Atmospheric Observatory (THAAO, 76.5 N, 68.8 W), in North Eastern Greenland (https://ofcsg2dvf1.dwd.de/fmlurlsvc/?fewReq=:B:JVs5MjYzOSV1PjEtMyVqZz4zMjkzMiVwamRtYnd2cWY+MTVnMjJiYmU6ZztgZ2dlYDBiNWVnO2U1NjtiNmE6OjtgNTcwNGBnMSV3PjI1NjEzOjI2NTslcmpnPjE3OkJJUDtOMzI1NDM3LjE3OkJJUDtNMzI1NDM3JXFgc3c+UHdmZWJtLVRiYGhmcUNndGctZ2YlYD43OiVrZ28+Mw==&url=https%3a%2f%2fwww.thuleatmos-it.it%2f ). In the frame of the CLouds And Radiation in the Arctic and Antarctica (CLARA2) project, a celiometer has been installed in November 2019 with the aim of strengthening the cloud observational capability at the Observatory already including, among the other instruments, upward- and downward-looking pyranometers and pyrgeometers operating at THAAO since July 2016.
Preliminary statistical results for cloud base altitude, cloud depth, liquid water path (LWP), temperature profiles and presence/intensity of temperature inversion at THAAO will be shown. Analysis on the relationship between LWP and IR downward irradiance and radiance in cloudy and clear sky is also presented.

References

Bintanja, R., Krikken, F. Magnitude and pattern of Arctic warming governed by the seasonality of radiative forcing. Sci Rep 6, 38287 (2016). https://ofcsg2dvf1.dwd.de/fmlurlsvc/?fewReq=:B:JVs5MjYzOSV1PjEtMyVqZz4zMjkzMiVwamRtYnd2cWY+MjRnOzY0ZjQ3Ojc1ZTAwNDM2NWAxYjE1NTVmNzo3N2YwYDAyNDRnMyV3PjI1NjEzOjI2NTslcmpnPjE3OkJJUDtOMzI1NDM3LjE3OkJJUDtNMzI1NDM3JXFgc3c+UHdmZWJtLVRiYGhmcUNndGctZ2YlYD42MSVrZ28+Mw==&url=https%3a%2f%2fdoi.org%2f10.1038%2fsrep38287 
Thermal comfort and heat stress assessment for the torch relay around Taiwan and the delayed 2021 National Intercollegiate Athletic Games
Authors: Yu Si-Yu , Matzarakis Andreas , Lin Tzu-Ping
Published: June 2022

Sport has been such a popular issue that draws public concerns regarding the health and the better living quality for many years all over the world. With the unavoidable impacts from global warming and exacerbated extreme weather events, the tougher outdoor thermal condition and the arising heat stress risk were no doubt becoming essential tasks especially for outdoor sport events where many staffs, volunteers, athletes and audiences gathered at an open outdoor venue at the same period of time. For better understanding the thermal environment and thermal comfort especially for outdoor sports, 2021 National Intercollegiate Athletic Games held at Tainan, souther Taiwan, has been selected as the research target. And with the concerns related to the COVID-19 epidemic, the Game has been delayed from May to October, 2021. In this assessment, both Taiwan Climate Change Projection Information and Adaptation Knowledge Platform (TCCIP) Taiwan ReAnalysis Downscaling data (TReAD), and on site real-time environmental monitoring data (Temperature, Relative Humidity, Wind Speed, PM2.5, Sky View Factor), were applied in estimating mPET (modified Physiologically Equivalent Temperature) and WBGT (Wet-bulb Globe Temperature) for members participating the torch relay around Taiwan in April, and the delayed Game in October. In this study, we also collected questionnaires from the staffs, volunteers, athletes and audiences participating the Game for detailed analysis the connection between the environmental condition and physical sensation. The influences of the built environment and the strategies for heat mitigation are also discussed in this study.

Keywords: 2021 Taiwan National Intercollegiate Athletic Games; Thermal Comfort; RayMan Pro; TReAD; mPET; WBGT; Thermal Risk Assessment; Hot-Humid Climate.
Forecasting the Daily Temperature Extremes from Radiosonde Measurements Using Neural Networks
Authors: Skok Gregor , Hoxha Doruntina , Zaplotnik Žiga
Published: June 2022

This study investigates the potential of direct prediction of daily extremes (maximum and minimum) of 2-m temperature from a radiosonde measurement using neural networks (NNs). The analysis is based on 3800 daily profiles measured in the period 2004-2019. Various setups of dense sequential NNs are trained to predict the daily extremes at different lead times. The purpose of the analysis was not to develop a model that would be better than operational numerical weather prediction models but primarily to investigate the capabilities of neural networks for such forecasts. Specifically, our goal was to understand how neural network-based models use different types of input data and how network design and its complexity affect their behavior. The data utilization and behavior of the network depend on whether the NNs are used to do short-term or long-term forecasts - this is why the analysis was performed for a wide range of forecast lead times ranging from 0 to 500 days into the future. The analysis of very simple NNs, consisting of only a few neurons, used to predict same-day extremes highlighted how the nonlinear behavior of the NN increases with the number of neurons. It also showed how different training realizations of the same network could result in different behaviors of the NN. The behavior in the part of the predictor phase space with the highest density of training cases was usually quite similar for all training realizations, while the behavior elsewhere was more variable and more frequently exhibited unusual nonlinearities. We also analyzed more complex NN setups that were used for the short- and long-term forecasts of temperature extremes. Besides the profile measurements, some setups used additional predictors such as the previous-day measurements and climatological values of extremes. The behavior of the setups was also analyzed via two XAI methods, which help determine which input parameters have a more significant influence on the forecasted value.
Deploying the ICON model on cloud architectures (ICONIC for Central Asia)
Authors: Prill Florian , Eser Christian
Published: June 2022

The ICON model, which is developed by the Deutscher Wetterdienst (DWD) and its partners, represents an example for modern NWP models with their intricate structure of numerous subcomponents. Besides, parallel processing is massively needed, where workloads often change in the short term and the dynamic requirements exceed the available local hardware. This increasingly complex setup and software stack is contrasted with the limited staff resources of small NMHSs or university groups. Even large developer communities, such as that of the ICON model, do not have the necessary support capacity for this situation. During the past decade two key answers to these problems have been identified: container deployment and cloud service models.
The ICONIC project, developed at DWD and financially supported by the World Bank, addresses the use case of the Central Asian region. Its technical concept employs user-friendly,  auto-scaling Slurm clusters and Singularity containers for the ICON model. The project results confirm that flexible short-term NWP workload demands can be handled by IaaS service models. We show by example that commercial and community cloud infrastructure is sufficiently capable for small and medium-size applications in a cost-effective scenario. The ICONIC setup is integrated into the data supply of the DWD weather service and takes into account a separation of the roles of administrators, operators, and forecasters. Portability between on premise software deployment community clouds and several commercial cloud providers is shown under the condition of minimal hardware requirements. The outlook discusses the impact of this deployment model on current operational centers.
Enhanced Watershed Modeling by Incorporating Remotely Sensed Evapotranspiration and Leaf Area Index
Authors: Lee Sangchul , Kim Dongho , McCarty Gregory W. , Anderson Martha , Gao Feng , Lei Fangni , Moglen Glenn E. , Zhang Xuesong , Yen Haw , Qi Junyu , Crow Wade , Yeo In-Young , Sun Liang
Published: June 2022

Abstract. To improve the capacity of watershed modeling, remotely sensed products are frequently used to reduce the uncertainty resulting from data limitations. Although remotely sensed evapotranspiration (RS-ET) products are widely used, vegetation parameters governing spatial and temporal variations in evapotranspiration (ET) are often not constrained by benchmark data. Recently, remotely sensed leaf area index (RS-LAI) products are becoming increasingly available, providing an opportunity to assess and improve simulated vegetation dynamics. The objective of this study is to assess the role of the two remotely sensed products (i.e., RS-ET and RS-LAI) in improving the accuracy of watershed model predictions. Specifically, we investigated the role of RS-ET and RS-LAI products in 1) reducing parameter uncertainty and 2) improving model capacity to predict the spatial distribution of ET and LAI at the sub-watershed level. The watershed-level assessment of the degree of equifinality (denoted as the number of parameter sets that produce equally acceptable model simulations) shows that less than half of the acceptable parameter sets for two constraints (streamflow and RS-ET; 14 parameter sets) are acceptable for three constraints (streamflow, RS-ET, and RS-LAI; six parameter sets). Among those six parameter sets, only three can satisfactorily characterize spatial patterns of ET and LAI at the sub-watershed level. Our results suggest that the use of multiple remotely sensed datasets holds great potential to reduce parameter uncertainty and increase the credibility of watershed modeling, particularly for characterizing spatial variability of hydrologic fluxes that are relevant to agricultural management.
Uncovering and Developing Student Statistical Competences via New Interfaces
Authors:   University of Durham, Ridgway Jim , McCusker Sean ,   University of Durham, Nicholson James ,   Belfast Royal Academy
Published: June 2022

The paper reviews the nature of statistics in the UK National Curriculum. While there is great opportunity for statistics to inform thinking in a range of disciplines, there is little coherence in the planning of activities for children. Formal assessment of statistical ability focuses on procedural knowledge, applied to univariate and bivariate problems. These provisions are inadequate for informed citizenship. We report work on World Class Tests (WCT), where students aged 9 and 13 years are presented with both paper-based and IT-based problem solving tasks in mathematics and science. Many of these tasks require students to work with three or more variables, often non-linearly related to each other. Students perform rather well on these tasks. Tasks are shown, together with performance data disaggregated by school and sex. Features of the displays that make them well suited to the exploration of complex patterns are discussed, and our design principles are described. Our current activities set out to embed test items in curriculum materials suitable for use in mathematics and science classrooms. A good grounding in handling complex data is essential for informed citizenship. We are in the process of creating methods to help students develop appropriate skills.
Distribution Division: Making It Possible For More Students to Make Reasoned Decisions Using Data
Authors:   Prince Alfred College, Harradine Anthony
Published: June 2022

The Roundtable theme selected by the International Association for Statistical Education (IASE) organizing committee (2004) focuses on the ability to make “reasoned decisions based on sound statistical thinking.” This string of words rolls easily off one’s tongue; as an outcome, however, it remains elusive. This paper examines the journey taken by one school, from 1997 to 2004, in an effort to empower its students to make reasoned decisions based on sound statistical thinking. It outlines the background reasons for the journey, and presents a general description and some critical commentary on some of the learning experiences used. The last twelve months of the journey are addressed in some detail. Six phases of teaching and learning that may assist in realizing the goal of reasoned decision- making based on sound statistical thinking are discussed. Complementing these phases is a preliminary approach to data analysis called "distribution division". The effects of this approach on the middle school curriculum are also discussed.
Developing Statistical Thinking in a Secondary School: A Collaborative Curriculum Development
Authors:   The University of Auckland, Pfannkuch Maxine , Horring Julia ,   Auckland Girls’ Grammar School
Published: June 2022

This paper describes the first year of a three-year collaborative curriculum development project in a secondary school that is underpinned by a theoretical statistical thinking framework. The teachers developed and implemented the statistics unit for their Year 11 classes (15 year-olds) based on their understanding of the framework and within the constraints of the national curriculum and assessment. Data gathered on the development of the statistics unit and its subsequent implementation are presented and discussed. An initial finding was that teachers were able to begin changing their practice to foster students’ statistical thinking in ways consonant with the framework. The influences of the framework, identifying problematic situations, collaboration, and assessment, which are impinging on the curriculum development, are elaborated upon and questions are raised about the nature of the development.
“Data and Predictions” Emerging as One of the Basic Themes in the Mathematical Curriculum of the First Cycle School Level in Italy
Authors:   University of Rome, Ottaviani Maria Gabriella , Luchini Silio Rigatti ,   University of Padua
Published: June 2022

In the reform of the Italian school system, a new pedagogical point of view has shifted attention away from content and skills and toward competencies. Also contributing to the proposal of a new mathematical curriculum is a new way of looking at mathematics that takes globalised societal needs into consideration. This paper describes the role of the Italian Statistical Society (SIS) in proposing knowledge and skills of the “Data and predictions” nucleus, which has emerged as one of the basic themes in the new mathematics curriculum. We present the guidelines which have been implemented to enhance the visibility of statistics and probability in the mathematical curriculum, taking into account the results of some recent research on statistics education carried out in Italy.
Pelatihan Dakwah Digital Bagi Para Da’i Muda Di Komunitas Jamuspa Yogyakarta
Authors: Sai'dah Zahrotus , Khusnul Khitam Achmad , Mulyani Majid Sri
Published: June 2022

Proyek pengabdian masyarakat ini bertujuan untuk memberikan pelatihan akademis kepada para da'i muda yang tergabung dalam komunitas Jam'iyyah Muballighin Sunan Pandanaran (JAMUSPA) di Yogyakarta dalam meningkatkan kualitas sekaligus mengoptimalisasikan dakwah para da'i muda tersebut. Dalam pelatihan ini, para da'i muda tersebut nantinya akan diberikan beberapa materi berupa metode dan strategi dalam menjalankan aktivitas dakwah melalui media dan teknologi. Selain itu, beberapa model pelatihan nanti juga akan disampaikan secara beragam, seperti pelatihan dalam optimalisasi dakwah di media sosial, pelatihan dakwah via media cetak, seperti booklet dan leaflet, serta pelatihan dakwah dalam plaltform audio-visual.  Diharapkan setelah mengikuti pelatihan ini, para da'i muda JAMUSPA dapat mengoptimalkan teknologi untuk berdakwah terutama di masa pandemi saat ini yang secara tidak langsung menuntut masyarakat untuk memanfaatkan teknologi dalam beraktifitas. Dengan melihat kebutuhan dan tujuan pelatihan tersebut, maka pengabdian ini nantinya direncanakan dilakukan secara hybrid; daring dilakukan dengan mengadakan pelatihan sekaligus pendampingan secara berkala sesuai jadwal dalam melaksanakan dakwah melalui media digital, sedangkan luring dilakukan di awal pengabdian dengan mengunjungi kantor komunitas tersebut sekaligus beberapa pengurus. Proses pelatihan dilakukan secara terjadwal dan berkala, yakni dilakukan sebanyak tiga kali pelatihan termasuk sosialisasi awal.
Pembinaan Menulis Karya Sastra (Puisi) Sebagai Kegiatan Ekstrakurikuler Secara Daring di SMK Kartini Batam
Authors: Ricci Gemarni Tatalia  , Aruna Laila  , Emil Septia
Published: June 2022

Abstrak
Pengabdian masyarakat ini dilatarbelakangi oleh perlunya tambahan kegiatan ekstrakurikuler dalam bidang sastra di sekolah. Pembelajaran sastra,seperti menulis karya sastra memerlukan latihan agar siswa terbiasa menulis. Dalam hal ini dilakukan kegiatan pengabdian masyarakat berupa pembinaan menulis karya sastra (puisi) secara daring. Kegiatan pengabdian secara daring dipilih karena situasi pandemi yang tidak memungkinkan untuk tatap muka. Kegiatan pengabdian kepada masyarakat di SMK Kartini Batam dilaksanakan pelatihan menulis karya sastra (puisi). Kegiatan pelatihan ini dilaksanakan terbimbing sebanyak 4 tahap. Metode dalam pengabdian ini adalah metode kuantitatif. Data dalam penelitian ini berupa hasil tes menulis puisi siswa SMK Kartini Batam. Berdasarkan hasil tes menulis puisi, kemampuan menulis puisi siswa SMK Kartini Batam sebelum pelatihan berada pada kualifikasi cukup (C) dengan rata-rata 63,81. Selanjutnya, kemampuan menulis puisi siswa SMK Kartini Batam setelah pelatihan berada pada kualifikasi baik (B) dengan rata-rata kemampuan 78,63. Berdasarkan hal tersebut dapat disimpulkan bahwa terjadi peningkatan kemampuan menulis puisi siswa dengan adanya pelatihan.
Pelatihan Perhitungan Harga Jual Produk dan Aspek Perpajakan UMKM bagi Cleaning Service
Authors: Wijaya Hendra , Sari Dian Purnama , Darsono Farida Lanawati
Published: June 2022

Tujuan pelatihan ini adalah mulai dari cara produksi barang, bagaimana menghitung harga jual, pemasaran serta perhitungan kewajiban perpajakan. Pelatihan diharapkan mampu membuat para peserta siap untuk berwirausaha. Artikel ini khusus membahas pelatihan bagian perhitungan harga jual produk dan aspek perpajakan UMKM. Metode pelaksanaan dengan memberikan pelatihan secara langsung. Hasil pengabdian ini menunjukkan bahwa para peserta paham, meskipun masih ada juga yang ragu-ragu dalam pemahaman perhitungan harga jual produk. Namun, mayoritas peserta telah memahami kewajiban perpajakan bagi UMKM.
Supporting Pencegahan Kekerasan Seksual di Kelurahan Cakung Timur-Jakarta Timur
Authors: Miftakhurrohmah Adinda , Siaga Pangestuti Rinda
Published: June 2022

Dalam rangka melaksanakan Peraturan Menteri Pendidikan, Kebudayaan, Riset, dan Teknologi (Kemendikbudristek) Nomor 30 Tahun 2021 tentang Pencegahan dan Penanganan Kekerasan Seksual (PPKS) di lingkungan Perguruan Tinggi, kami melaksanakan kegiatan pengabdian kepada masyarakat dengan program Supporting Pencegahan Kekerasan Seksual di Kelurahan Cakung Timur-Jakarta Timur. Adapun kegiatan yang kami lakukan adalah sosialisasi dalam rangka peningkatan kesadaran masyarakat akan pentingnya pencegahan kekerasan seksual secara verbal maupun non-verbal, pembuatan dan penempelan poster dan  webinar pencegahan kekerasan seksual. Metode pelaksanaan secara hybrid yakni online dan offline untuk menjaga protokol kesehatan selama pandemic Covid-19. Secara umum, hasil dari kegiatan kami adalah peningkatan pemahaman masyarakat akan kekerasan seksual dan cara pencegahan. Adapun kuesioner yang kami sebar mendapatkan respon yang positif dari masyarakat karena kegiatan ini memberikan manfaat.
Pelatihan Video Pembelajaran Berbasis Multimedia Pada Musyawarah Guru Mata Pelajaran Prakarya (MGMP Prakarya) SMP Kab. Barito Kuala
Authors: Karyadiputra Erfan , Pratama Sefto , Alim Muin Agus , Setiawan Agus , Yusa Rahman Fauzi
Published: June 2022

Revolusi industri 4.0 seiring dengan perkembangan teknologi informasi pada dunia pendidikan memungkinkan terciptanya suatu metode-metode pembelajaran baru yang lebih efektif dan efisien terutama dalam hal proses belajar mengajar di masa pandemi covid 19. Oleh sebab itu, seorang guru diharapkan mampu beradaptasi dengan baik terhadap perkembangan teknologi khususnya dalam proses belajar mengajar dengan terus mengembangkan kompetensinya  sesuai amanat undang-undang no. 14 tahun 2005. Tujuan kegiatan pengabdian masyarakat ini yaitu membantu para guru yang tergabung dalam Musyawarah Guru Mata Pelajaran Prakarya (MGMP Prakarya) tingkat SMP di Kabupaten Barito Kuala terutama dalam membuat suatu media pembelajaran yang interaktif sekaligus menarik berbasis multimedia. Adapun metode yang digunakan seperti presentasi materi pelatihan, pendampingan langsung dan praktek mandiri. Hasil dari kegiatan ini mampu meningkatkan tingkat keberdayaan masyarakat peserta sebesar 70% sehingga dapat membantu guru terutama dalam hal pembuatan media pembelajaran berbasis multimedia.
PKM Peningkatan Kompetensi Guru untuk Pembelajaran Berbasis Google Meet dan Zoom di Paud Godwilling
Authors: Evy Yulianty Nadeak Theresia , Ningsih Retna , Mustari Dewi
Published: June 2022

Kegiatan ini adalah pengabdian kepada masyarakat yang tergolong dalam skim IbM yang terselenggara atas dukungan dana dari Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Universitas Indrapratas PGRI untuk tahun akademik 2021/2022 semester Ganjil. Pengabdian Masyarakat ini adalah merupakan peran serta Universitas Indraprasta PGRI dalam rangka untuk ikut membantu salah satu elemen masyarakat dalam bidang pendidikan khususnya untuk Paud Godwilling. Hampir sudah 1.5 tahun ini pembelajaran berjalan secara daring. Berbagai macam cara di lakukan oleh Lembaga Pendidikan agar permbelajaran tetap berjalan. Akan tetapi, dengan situasi pandemi saat ini proses pembelajaran harus tetap dilakukakan maka terdapat satu strategi yang dipercaya dapat menanggulagi masalah tesebut melalui pendayagunaan terhadap teknologi Pendidikan (Education Technology), Teknologi Informasi (Information Technology atau IT) dan atau teknologi komunikasi dan informasi. Penggunaan aplikasi Zoom Meeting, dan Google Meet terhadap tenaga pendidik di Paud Godwilling sebagai Aplikasi yang akan dipakai para guru dalam melaksanakan kegiatan belajar mengajar, dimana pemakaian aplikasi tersebut belum begitu familiar di kalangan para guru. Dalam mengatasi permasalahan yang dihadapi oleh guru-guru, melalui Program Pengabdian Kepada Masyarakat, Dosen Universitas Indraprasta PGRI dengan Kelompok Kerja Kepala Sekolah Paud Godwilling mengadakan kegiatan Tridharma Perguruan Tinggi, yaitu PKM dalam hal ini para guru di Paud Godwilling sebagai Audience.
Pelatihan Penerapan IoT Untuk Peningkatan Pengetahuan Teknologi Bagi Kader Kelurahan Sukasari Tangerang
Authors: Sudrajat Budi , Romadoni Fahlepi , Herlan Asymar Hasta
Published: June 2022

Perkembangan teknologi yang begitu pesat di berbagai bidang, sangat mempengaruhi kehidupan manusia terutama di bidang ilmu pengetahuan dan teknologi. IoT merupakan teknologi evolusi dari internet dan memiliki potensi besar mengubah kehidupan serta industry secara drastis. Penetrasi internet di Indonesia pada akhir maret 2021 sebesar 76,8% dari total populasi. Ada beberapa faktor yang menjadi hambatan dalam implementasi IoT antara lain biaya yang mahal, masalah keamanan, ketidaksesuaian dengan sistem lama, sistem yang komplek dan belum adanya sumber daya yang memahami IoT. Dengan pelatihan ketrampilan diharapkan Kader Kelurahan Sukasari Kota Tangerang Banten dapat mengimplementasikan dalam kehidupan sehari-hari seperti yang tertuang pada misi Kelurahan Sukasari yakni “Terwujudnya Ketrampilan Yang Bermutu Dan Berakhlak Mulia Serta Mampu Menjadi Pelopor Bagi Kemajuan Masyarakat Dan Negara”. Untuk membekali Kader Kelurahan Sukasari Kota Tangerang Banten dalam pengetahuan teknologi maka pengabdian masyarakat perlu dilakukan dengan tujuan memperkenalkan Internet of Things (IoT) untuk Peningkatan Pengetahuan Teknologi Bagi Kader Kelurahan Sukasari Kota Tangerang Banten. Melihat fenomena saat ini hampir semua benda dapat kita gunakan seperti yang kita inginkan hanya dengan menekan tombol pada ponsel. Benda-benda yang “cerdas” karena pada benda tersebut telah dilengkapi dengan alat-alat teknologi sesuai dengan kebutuhan manusia. Inilah konsep pada Internet of Things yakni benda-benda yang cerdas dengan dilengkapi teknologi
Respons Struktur Bangunan Beton Bertulang dengan Kelas Situs Tanah Khusus Berdasarkan SNI 1726-2019
Authors: Halimatusadiyah Halimatusadiyah
Published: June 2022

Penelitian ini membahas tentang respons struktur bangunan beton bertulang dengan kelas situs tanah khusus menggunakan spektrum respons desain dengan percepatan spektral-respons desain untuk setiap periode tidak boleh diambil lebih dari 80% nilai percepatan spektral yang ditentukan untuk kelas situs tanah lunak, yang selanjutnya akan dianalisis dengan menggunakan metode analisis dinamis respons spektrum dilokasi situs tanah khusus atau teridentifikasi sebagai tanah khusus dengan syarat terpenuhinya sebagai tanah khusus yaitu tanah yang berpotensi likuifaksi. Penelitian ini memiliki tujuan untuk menganalisis simpangan antar lantai yang terjadi pada struktur bangunan beton bertulang yang direncanakan diatas tanah khusus dengan menggunakan SNI 1726-2019 dan ATC-40. Perpindahan maksimum yang terjadi pada tanah khusus (SF) bernilai 0,035568 m arah X dan 0,035692 m arah Y, simpangan yang terjadi pada lantai atap bernilai lebih besar daripada lantai lainnya, hal ini membuktikan bahwa karakteristik tanah dan ketinggian dari struktur gedung atau elevasi struktur mempengaruhi nilai perpindahan struktur yang terjadi, dengan menggunkan simpangan antara lantai ijin dari SNI 1726-2019 struktur gedung pada arah X dan arah Y seluruh lantai memenuhi persyaratan yang telah ditentukan yaitu tidak lebih dari 0,025 tinggi lantai sebelumnya dan level kinerja Immediate Occupancy (IO) pada analisis linier menurut ATC-40.
Desain dan Implementasi Sistem Kontrol Proses Berbasis Internet of Things
Authors: Hamdani Chalidia Nurin , Nugraha Wijaya Adi , Triyanto Roni Heru
Published: June 2022

Perkembangan industri telah memasuki era industry 4.0. Salah satu teknologi di era ini adalah yang dikenal dengan Internet of Things (IoT). Industri dituntut untuk dapat beradaptasi dengan teknologi baru ini, termasuk industri proses. IoT membawa konsep fleksibilitas, efisiensi dan produktifitas melalui teknologi informasi yang cerdas berbasis internet. Proses yang sebelumnya hanya dapat dikendalikan dan dipantau melalui ruang kontrol dengan komunikasi serial berbasis kabel, saat ini ditutut untuk dapat dikendalikan dan dipantau kapan saja dan di mana saja dengan komunikasi berbasis internet. Dalam penelitian ini, kami membangun prototype satu lup sistem kontrol proses level dengan kontroler utama menggunakan mikrokontroler ATmega328p. Kontrol PID diimplementasikan ke dalam algoritma mikrokontroler yang terintegrasi dengan ESP3286 sehingga pengendalian dan pemantauan dapat dilakukan di mana saja dan kapan saja via Human Machine Interface (HMI) berbasis website. Pengujian pada prototype menunjukkan hasil yang menjanjikan dengan karakteristik respon sistem kontrol: zero offset, maximum overshoot 3 cm dan settling time sekitar 125 detik. Penggunaan website sebagai HMI dapat berjalan dengan baik dengan waktu tunda maksimal sebesar 3 detik jika dibandingkan transfer data dengan komunikasi serial.
De La Femme assise (1964) à Libérett’ (1979) : Copi ou la déconstruction du jeu des apparences à travers le corps
Authors: Vásquez Sáenz Henry Ferney
Published: June 2022

Copi commence à dessiner La Femme assise dans Le Nouvel Observateur en 1964 et libère sa Libérett’ dans Libération en 1979. Le génie d’un artiste polyvalent, parce que Copi était également écrivain, dramaturge et acteur, se libère dans les rues parisiennes quand il décide de vendre ses dessins dans Le Pont des Arts en 1963. Les traits qui dessinent et caractérisent la silhouette d’une « femme assise » n’ont rien à voir avec ceux qui dévoilent le contour d’un corps trans, « monstrueux », possédant des seins de femme et un pénis et des testicules d’homme, qui réagit à sa volonté hors les normes sexuelles et sociales traditionnelles. Dans ce travail, on tâchera de démontrer comment Copi, à travers ses caricatures particulières, introduit le lecteur dans un jeu des apparences de l’identité et de la sexualité à partir du corps pour défier les modèles établis du genre et du sexe, pour démarquer l’identité et la sexualité fluides des contraintes hétéronormatives et pour promouvoir, finalement, la liberté d’expression dans tous les sens du terme.
Territoires émotionnels et engagement : un regard sur la rencontre et la relation homme-animal dans Le Lion de Joseph Kessel
Authors: Barbaux Laurène
Published: June 2022

A travers Le Lion (Gallimard, 1958), Joseph Kessel dresse une fresque romanesque fascinante, où la peau et le sang des hommes se mêlent à ceux des bêtes. A travers l’étude de passages choisis, nous analyserons les modalités de la rencontre et de la communication entre l’homme et l’animal. Nous verrons comment la littérature et la langue, à travers la puissance des mots et de leurs effets, parviennent à engager la sensibilité du lecteur - ici témoin privilégié - et à provoquer la rencontre avec l’autre-animal, inscrivant tout à la fois l’homme et la bête dans des territoires communs aux fonctions signifiantes. La frontière homme-animal non plus pensée comme un écart ou une scission, mais bien comme un passage, un territoire plastique se faisant fonction dynamique et dynamisante d’une rencontre positive, où l’identité naît de l’altérité et d’un dialogue retrouvé avec cet autre qui nous ressemble tant et, pourtant, nous échappe toujours.
Kazakça ve Türkçedeki Benzer Ses ve Şekildeki Kelimelerin Türkçe Dinleme ve Yazma Becerisine Etkisi
Authors: Önel Kudret , Özdemir Cemal
Published: June 2022

The similarities and differences between the mother tongue and the target language play an effective role in the foreign language learning process. Students must acquire comprehension and expression skills in order to be fully active in the target language. In addition, the teacher should choose an effective method in teaching language to his students. Otherwise, foreign language learning cannot be fast and easy for students. In this study, the success of Kazakh students in Turkish listening comprehension skills was examined depending on the ratio of Kazakh-Turkish words with similar sounds and shapes. In addition, in the study, foreign language teaching and writing and listening skills, teaching Turkish as a foreign language to cognates and the problems encountered in teaching Turkish, Kazakh and Turkish sound and shape similarities were emphasized. As an application, two different texts in Turkish were played by Kazakh students. During this time, the students were asked to write down the words they heard and understood. While listening, writing and comprehension were detected in 95% of the students in text 1, this rate decreased to 55% of the students in text 2. The effective factor here is the number of common and similar words in Kazakh and Turkish. Keywords: Foreign language, listening and writing skills, common words in Smuggled and Turkish, teaching Turkish to cognates.
PENGEMBANGAN METODE PEMBELAJARAN PROJECT BASED LEARNING (PBL) UNTUK MENINGKATKAN UNJUK KERJA MAHASISWA DALAM MEMBUAT PRODUK DI PRODI TEKNIK PRODUKSI DAN PROSES MANUFAKTUR - POLITEKNIK ASTRA
Authors: Setiawan Rohmat , Sudarmaji Heri , Wicaksono Danny , Ego Guarsa Nicholas , Nur Andi W Muhamad , Dewi Audensi Faratiti
Published: June 2022

Salah satu keterampilan khusus dari capaian pembelajaran lulusan yang dimiliki oleh program studi Teknik Produksi dan Proses Manufaktur sesuai KKNI level 5 diantaranya mampu merancang dan memproduksi komponen, alat bantu produksi (jig and fixture), dan peralatan mekanik sederhana, yang sudah terdefinisi dengan jelas, yang memenuhi kebutuhan spesifik dengan pertimbangan yang tepat terhadap masalah keamanan, kesehatan kerja, dan lingkungan. Makalah ini bertujuan untuk memperkenalkan metode project based learning (PBL) yang diterapkan di program studi Teknik Produksi dan Proses Manufaktur melalui uji coba pembelajaran berbasis proyek secara integrasi antara beberapa mata kuliah untuk membuat produk yang dapat dikomersialkan. Salah satu produk yang sedang dikembangkan adalah kotak perkakas bertingkat, dimana proses pembuatannya melibatkan beberapa praktikum, antara lain: gambar teknik, CAD, proses fabrikasi pelat logam, pengelasan, pengecatan, perakitan mekanik, dan kewirausahaan. Tujuan dari proses pembelajaran ini adalah agar setiap mahasiswa dapat membuat produk secara terintegrasi dengan waktu yang ditentukan dan produk yang memenuhi kualitas dapat dikomersialkan, sehingga unjuk kerja dan kesadaran kualitas setiap mahasiswa dalam membuat produk dapat meningkat. Hal ini terlihat pada evaluasi penilaian kompetensi mahasiswa/i dari mata kuliah terkait rata-rata naik dari level 1,7 menjadi level 3 setelah menerapkan metode PBL ini.
PERANCANGAN ALAT ANGKAT MOBIL (CAR LIFT) MENGGUNAKAN SISTEM LENGAN DAN SILINDER HIDROLIK DENGAN ANGLE of ATTACK 90°
Authors: EDI W ANDREAS
Published: June 2022

Menentukan Angle of Attack dalam sistem mekanis yang menggunakan Silinder Hidrolik merupakan hal utama dalam perancangan alat untuk mengangkat beban, terutama yang menuntut efisiensi tempat. Angle of Attack yang mendekati 90 derajat (maksimum) merupakan sistem mekanis yang efektif, namun di sisi lain akan mengakibatkan Rasio Gaya mendekati 0, sebaliknya Angle of Attack mendekati 0 derajat akan membuat sistem menjadi tidak efektif bila dilihat dari sisi tempat yang dibutuhkan. Peneliti membuat model perhitungan dengan menambahkan komponen yang lain yaitu cam dengan rasio tertentu, yang dapat membantu pergerakan sistem Mekanis yang menggunakan Silinder Hidrolik untuk mengatasi masalah Angle of Attack mendekati atau sama dengan 90 derajat tersebut dapat beroperasi. Cara kerja dari komponen cam tersebut adalah dengan memberikan gaya ungkit pada Lengan dari sistem melalui pergeseran dari Silider Hidrolik itu sendiri sampai antara sistem Lengan dan Silinder Hidrolik terbentuk Angel of Attack yang cukup memadai, cam akan berhenti pada posisi yang ditentukan sebelumnya dan selanjutnya hanya Silinder Hidrolik akan beroperasi. Hasil penelitian menunjukkan, dengan penggunaan cam, sistem lengan dengan Angle of Attack 90 derajat antara Lengan dan Silinder, dapat beroperasi dalam 2 tahap, yaitu ketika cam terdorong ke Lengan dan ketika cam berhenti dan hanya Silinder Hidrolik yang beroperasi.

Kata kunci : Angle of Attack, Sistem Hidrolik, cam
PEMBANGUNAN APLIKASI E-RECRUITMENT SATUAN PENGAMANAN (SATPAM) PT SIGAP PRIMA ASTREA
Authors: Suhendra Suhendra
Published: June 2022

PT Sigap Prima Astrea (SIGAP) merupakan badan usaha jasa pengamanan terbesar di Indonesia yang berdiri sejak tahun 2002. Dengan bisnis yang bergerak di bidang penyaluran tenaga kerja satpam dan penyedia perangkat pengamanan. Rekrutmen satpam oleh SIGAP yang berjalan saat ini masih dilakukan secara konvensional dan rutin berkala sehingga menimbulkan permasalahan dalam pengelolaan dan validasi data berkas lamaran dan lambat dalam proses sortir. Dari permasalahan tersebut, diusulkanlah sebuah aplikasi e-Recruitment. e-Recruitment merupakan aplikasi berbasis web yang dibangun dengan menggunakan bahasa pemrograman PHP dengan framework CI dan basis data MySQL serta menggunakan metode pengembangan aplikasi purwarupa. Berdasarkan pada pengujian yang dilakukan, aplikasi e-Recruitment dapat mempermudah pengelolaan berkas lamaran dan mempercepat dalam proses seleksi.