bluuebunny/crossref_metadata_2025_split huggingface dataset:
EVALUASI PROGRAM PRAKTIK INDUSTRI MAHASISWA PENDIDIKAN TEKNIK BANGUNAN MENGGUNAKAN MODEL CIPP
Authors: Setyanto Budi Widi , Sukatiman Sukatiman , Nurhidayati Aryanti 
Published: June 2023

<p dir="ltr"><span>Abstrak: </span><span>Evaluasi merupakan komponen yang sangat penting dalam proses pengembangan program pendidikan. Dengan adanya evaluasi terhadap program praktik industri, diharapkan mampu mengetahui kelebihan dan kelemahan dari program yang telah berjalan. Penelitian ini bertujuan untuk mengevaluasi pelaksanaan program praktik industri Mahasiswa Pendidikan Teknik Bangunan dilihat dari aspek konteks, input, proses, produk. Penelitian ini dilakukan menggunakan metode penelitian evaluatif dengan pendekatan kuantitatif deskriptif. Pengumpulan data menggunakan teknik kuesioner/angket dan wawancara. Sampel yang digunakan adalah 38 mahasiswa Program Studi Pendidikan Teknik Bangunan (PTB) dari satu Universitas di Jawa Tengah, koordinator praktik industri Program Studi PTB, 9 dosen pembimbing, dan 4 pembimbing industri. Hasil penelitian menunjukkan: (1) evaluasi konteks pelaksanaan program praktik industri dikategorikan tinggi dengan persentase sebesar 80,22%; (2) evaluasi terhadap input pelaksanaan program praktik industri dikategorikan cukup dengan persentase sebesar 78,10%; (3) evaluasi terhadap proses pelaksanaan program praktik industri dikategorikan cukup dengan persentase sebesar 79,63%. (4) Evaluasi produk pelaksanaan program praktik industri dikategorikan tinggi dengan persentase sebesar 81,68%. </span></p><p dir="ltr"><span>Abstract:</span><span> Evaluation is a very important component in the process of developing educational programs. With an evaluation of the industrial practical program, it is hoped that it will be able to find out the strengths and weaknesses of existing programs. This study aims to evaluate the implementation of the industrial practical program of Building Engineering Education Students from the aspects of the context, input, process, product. This research was conducted using an evaluative research method with a descriptive quantitative approach. Data collection used questionnaires and interviews. The respondents came from one of the Building Engineering Education Study Program in one University in Central Java Indonesia. Respondents consist of 38 students, the industrial practice coordinator, 9 supervisors, and 4 industrial supervisors. Analysis of the data in this study using an average analysis technique that used assessment criteria. Research results showed: (1) evaluation of the context of industrial practice program implementation was classified as high with a percentage of 80.22%; (2) evaluation of the input for the implementation of industrial practice programs was classified as sufficient with a percentage of 78,10%; (3) evaluation of the industrial practice program implementation process was classified as sufficient with a percentage of 79,63%. (4) Evaluation of the product implementation of the industrial practice program was classified as high with a percentage of 81.68%.</span></p><div><span><br /></span></div>
Learning Management System untuk Meningkatkan Kemampuan Teknologi Informasi dan Komunikasi di Era Revolusi Industri 4.0
Authors: Moningkey Efraim Ronald Stefanus , Triyono Mochamad Bruri , Priyanto Priyanto 
Published: June 2023

<p><strong>Abstrak: </strong>Tujuan dari penelitian ini yaitu mengembangakan aplikasi pembelajaran <em>Learning management system </em>berbasis android untuk digunakan mempelajari kemampuan TIK bagi masyarakat yang dapat diakses gratis. Penelitian ini merupakan penelitian pengembangan. Subjek penelitian ini adalah masyarakat yang memiliki smartphone android dan ingin mengetahui atau mempelajari kemampuan TIK dalam bidang jaringan<em> computer</em>, rekayasa perangkat lunak, dan multimedia. Teknik pengembangan menggunakan pengembangan aplikasi android berbasis web. Metode pengembangan <em>system</em> menggunakan metode prototype yang memudahkan interaksi antara pengembang dengan pengguna dan dapat dilakukan dengan cepat. Hasil penelitian adalah aplikasi LMS berbasis android yang dapat digunakan dengan gratis dan diakses dimana saja, kapan saja selama ada koneksi internet. </p><p><strong><em>Abstract</em></strong><em>: The purpose of this research is to develop a learning application for an Android-based learning management system to be used to learn ICT skills for the community that can be accessed for free. This research is a development research. The subjects of this research are people who have android smartphones and want to know or learn ICT skills in the fields of computer networks, software engineering, and multimedia. The development technique uses android web-based application development. The system development method uses a prototype method that facilitates interaction between developers and users and can be done quickly. The result of the research is an Android-based LMS application that can be used for free and can be accessed anywhere, anytime as long as there is an internet connection.</em></p><p> </p><h2 dir="ltr"><strong><br /></strong></h2>
Pengembangan Multimedia Interaktif Berbasis E-Learning Menggunakan Aplikasi Kahoot sebagai Media Evaluasi
Authors: Kurniadi Nur Iman Rizki , Agustin Rima Sri , Roemintoyo Roemintoyo 
Published: June 2023

<p dir="ltr"><span>Abstrak:</span><span> Multimedia interaktif sebagai media evaluasi selain berperan sebagai alat evaluasi pencapaian pembelajaran siswa juga dapat digunakan sebagai alat bantu untuk meningkatkan pemahaman siswa akan materi. Oleh karena itu penelitian ini bertujuan untuk mengembangkan multimedia interaktif menggunakan aplikasi </span><span>kahoot</span><span> pada mata pelajaran Gambar Konstruksi Bangunan sebagai perangkat bantu evaluasi pembelajaran. Kelayakan media sebagai produk pengembangan dievaluasi oleh para ahli dan siswa pengguna produk. Langkah pengembangan dalam penelitian ini terdiri dari pengkajian materi, analisis pengguna media, desain media, dan uji kelayakan media. Uji coba produk skala kecil dilakukan pada 15 siswa, sedangkan uji coba skala besar dilakukan pada 32 siswa di salah satu SMK Negeri di Surakarta. Hasil penelitian menunjukkan terdapat lima langkah perancangan media yakni: penyusunan materi, sistem aplikasi, penyusunan </span><span>Jobsheet</span><span>, format penyajian, dan pembuatan </span><span>Prototype. </span><span>Kelayakan produk menurut ahli media dan ahli materi adalah sangat layak (86,67 % dan 88,42 %). Sedangkan menurut siswa media dinilai layak (80,12 %). </span></p><span id="docs-internal-guid-dfebc186-7fff-6592-302b-616161febbaf"><br /><span>Abstract :</span><span>Interactive multimedia as an evaluation medium in addition to acting as a tool for evaluating student learning achievement can also be used as a tool to improve students' understanding of the material. Therefore, this study aims to develop interactive multimedia using the Kahoot application in the subject of Building Construction Drawings as a learning evaluation tool. The feasibility of the media as a development product was evaluated by experts and students as user of the product. The development steps in this research consist of material review, media user analysis, media design, and media feasibility test. Small-scale product trials were conducted on 15 students, while large-scale trials were conducted on 32 students in one of the State Vocational Schools in Surakarta. The results showed that there were five steps of media design, namely: preparation of materials, application systems, preparation of Jobsheets, presentation formats, and making of prototypes. The feasibility of the product according to media experts and material experts is very feasible (86.67% and 88.42%). Meanwhile, according to students, the media is considered feasible (80.12%).</span></span>
Penerapan Model Pembelajaran Flipped Classroom pada Mata Pelajaran Dasar-Dasar Konstruksi Bangunan dan Teknik Pengukuran Tanah
Authors: Wahyu Widiantara Fauzi , Daryati Daryati , Rosmawita Saleh 
Published: June 2023

<p dir="ltr"><span>Abstrak:</span><span>Penelitian ini bertujuan untuk mengetahui efektivitas dengan cara penerapan </span><span>flipped classroom</span><span> dalam mata pelajaran Dasar-Dasar Konstruksi dan Properti. Metode penelitian yang digunakan dalam penelitian ini adalah </span><span>quasi experimental </span><span>dengan bentuk </span><span>randomized pretest-posttest control group design. </span><span>Pengumpulan data dilakukan dengan instrument </span><span>pretest dan posttest </span><span>yang diberikan pada dua kelas, eksperimen dan kontrol. Uji statistik yang digunakan adalah statistik </span><span>non-parametrik </span><span>dengan uji </span><span>Mann-Whitney U</span><span>, didapatkan nilai Asymp.Sig (2-tailed)&lt;</span><span>𝖺𝑡𝑎𝑏𝑒𝑙</span><span> (0,05) yang berarti terdapat perbedaan signifikansi data </span><span>posttest </span><span>kelas eksperimen dan kelas kontrol. pembelajaran berbasis multimedia tersebut masuk dalam kategori </span><span>average </span><span>atau cukup efektif. Hasil penelitian menunjukan bahwa terjadi peningkatan pada kelas eksperimen yang diberikan </span><span>treatment </span><span>dengan menerapkan </span><span>flipped classroom </span><span>pada </span><span>platform </span><span>edmodo, dibandingkan dengan kelas kontrol yang tidak diberikan </span><span>treatment</span><span>. Dengan demikian dapat disimpulkan bahwa </span><span>flipped classroom </span><span>pada </span><span>platform </span><span>edmodo efektif dalam meningkatkan hasil belajar yang signifikan pada mata pelajaran Dasar-Dasar Konstruksi dan Teknik Pengukuran Tanah.</span></p><span id="docs-internal-guid-64d6d93e-7fff-a1bc-f239-ee5837d02140"><span>Abstract: </span><span>This study aims to determine the effectiveness of the application of the flipped classroom in the subject of Construction and Property Fundamentals. The research method used in this study is a quasi-experimental with the form of a randomized pretest-posttest control group design.Data was collected using pretest and posttest instruments given to two classes, experimental and control. The statistical test used is non-parametric statistics with the Mann-Whitney U test, the value of Asymp.Sig (2-tailed) &lt;</span><span>𝖺𝑡𝑎𝑏𝑒𝑙</span><span> (0.05) means that there is a significant difference in the posttest data of the experimental class and the control class. The multimedia-based learning is categorized as average or quite effective The results showed that there was an average increase in learning outcomes of 58% in the experimental class that was given treatment by applying the flipped classroom on the Edmodo platform, compared to the control class that was not given treatment. Thus, it can be concluded that the flipped classroom on the Edmodo platform is effective in increasing significant learning outcomes in the subjects of Construction Fundamentals and Soil Measurement Techniques.</span></span>
Advance Directives in the Emergency Department – a Systematic Review of the Status Quo
Authors: WEBER Vincent , HÜBNER Aurelia , SCHAMBERGER Lukas , SOMASUNDARAM Rajan , BOEHM Lennert , BAUER Wolfgang , DIEHL-WIESENECKER Eva 
Published: June 2023

Abstract

Background Providing individualised healthcare in line with patient wishes is a particular challenge for emergency healthcare professionals. Documentation of patient wishes (DPW), e.g., in the form of advance directives, can guide clinicians in making end-of-life decisions that respect the patient’s wishes and autonomy. However, these are hindered by limited availability in emergency settings.Objective This systematic review aims to congregate existing data on DPW possesion and availability in the emergency department (ED) as well as contributing factors.Methods We searched the MEDLINE database (PubMed) in October 2021. All publications that provided primary quantitative data on DPW in the ED were assessed, culminating in a total of 16 studies included in the analysis. Most (n = 9) were from the US, followed by Australia (4), Germany (1), Canada (1) and Switzerland (1). Publication dates ranged from 1996 to 2020.Results In the general adult population presenting to the ED, 19.9–27.0% of patients possessed some variation of DPW, fewer than 3.2% had it available on presentation. In older people, possession rates (7.9–51.9%) as well as availability (1.7–48.8%) varied widely. The following variables were identified as positive predictors for DPW possession: older age, poorer overall health and presence of comorbidities, as well as several sociodemographic factors, such as female gender, having children, being in a relationship and higher level of education.Conclusion Possession and availability of DPW among ED patients was low in general and even in the older population mostly below 50%. While we were able to gather data on prevalence and predictors, we believe that further research is needed to explore the quality of DPW and possible public health measures to encourage patients to document their healthcare wishes.
Probabilistic Graph Networks for Learning Physics Simulations
Authors: Prakash Sakthi , Tucker Conrad 
Published: June 2023

Abstract

Inductive biases play a critical role in enabling Graph Networks (GN) to learn particle and mesh-based physics simulations. In
this paper, we propose two generalizable inductive biases that minimize rollout error and energy accumulation. Conditioned
on the input states, GNs currently assume Gaussian distributed targets. As a consequence, GNs either assign probability
densities to infeasible regions in the state space of the physics problem or fails to assign densities to feasible regions. Instead, we replace the existing assumption with a stronger assumption by estimating the true conditional target densities using our proposed conditional normalizing flows (cNF) decoder. We discover that this inductive bias enables GN to significantly improve its next state prediction accuracy. Existing sequential GNs encode temporal dependencies by autoregressively processing the latent representations of the input data. In our work, we discover that inducing the Arrow-of-Time inductive bias through an auto-regressive encoding step before autoregressively processing the resulting latent vectors enables GNs to better minimize rollout error. We critically analyze the impact of existing inductive biases on rollout error and energy accumulation and discover that the choice of biases to be encoded in a GN as opposed to the number of inductive biases has a substantial impact on forward simulation prediction.
A Simple-Structured Framework for Decision Support System in Irrigation Water Management: Tool Description and Preliminary Testing
Authors: Garofalo Pasquale , Vonella Alessandro Vittorio , Rinaldi Michele 
Published: June 2023

Abstract
In the context of climate change, where precipitation is decreasing and poorly distributed over time, and the cost of irrigation water is increasing, an efficient and sensible water supply system is critical to reduce water waste without compromising crop productivity. To achieve this, a system that assists farmers in irrigation scheduling and management must be easy to understand, apply, and interpret, and be highly adaptable to the practices actually used by farmers in the field. This paper describes an irrigation scheduling decision support system that uses limited algorithms and computational routines to formalize a few parameters related to crop development, productivity, and water use for irrigation scheduling. The system predicts when and how much to irrigate based on three methods for determining crop water requirements and their effects on crop development and yield performance. The system was calibrated and tested on tomato plants grown in a Mediterranean environment. In this first benchmark, it has shown high robustness and reliability in replicating the studied cropping system and optimizing the use of irrigation resources.
Sensor placement for leak localization in water distribution networks based on graph sampling method
Authors: Li Juan , Cai Baoyi , Wang Chunyue 
Published: June 2023

Abstract
The sensor placement is an important research issue for monitoring water distribution networks (WDN). Due to the natural graphical structure of the WDN, it is advantageous to use graph sampling theory for selecting monitoring nodes in the WDN. But the existing graph sampling theory is only applied to processing the band-limited signal, and the pressure data of WDN is a non-band-limited signal. This paper is devoted to solving this problem. The paper proposes an approximate conversion method from non-band-limited signal to band-limited signal and gives an optimal spectrum threshold formula. The threshold formula is applied to perform spectral screening in the graph frequency domain and to convert a non-band-limited signal into a band-limited signal. The band-limited signal retains the major frequency components of the original signal and ignores the frequency components of smaller values. The paper performs graph sampling of the obtained band-limited signal and obtains sampling nodes that can perfectly recover the band-limited signal. The sampling node is used as the monitoring node of the WDN to obtain comprehensive information about the WDN. Our method compares numerically with two methods of optimizing sensor placement. The experiment results demonstrate the effectiveness of the proposed method.
A Knowledge-Based System For Smart Sustainable Groundwater Facility Management
Authors: Ataei Parisa , Takhtravan Amir , Gheibi Mohammad , Faramarz Mahdieh G. , Wacławek Stanisław , Fathollahi-Fard Amir M. , Behzadian Kourosh 
Published: June 2023

Abstract
Monitoring and supervising groundwater resource facilities, including wells and pumps, are the most challenging management issues for both academia and industrial practitioner working in water management. These motivate this study to propose an intelligent Decision Support System (DSS) to interpret the huge data records for operating propositions authorized to decide based on the provided information. In this work, an integrated database of the influencing parameters, including water flow rate, water pressure, current intensity, voltage, and power of the wells and pumps, have been gathered by telemetry arrangements as a Knowledge-Based Systems (KBS). Statistical appraisals are carried out on these parameters in six randomly selected wells to define the thresholds of these effective factors. Then, a soft-sensor is designed using Random Forest (RF) machine learning prediction algorithm to forecast water flow rate, water pressure, and current intensity in wells. In this soft-sensor, online comparison of the achieved data from telemetry system with design catalogs of pumps and periodic field tests conducted on the wells and their facilities have provided an empirical framework for health monitoring of wells and pumps. Finally, a framework of management knowledge and operational experience of professionals at water and Wastewater companies generated by applying the Classical Delphi (CD) technique. The outcome of this work has been presented as the managerial insights for the wells and pumps monitored online with high precision.
Characterization of two cDNAs encoding pH-sensitive and zinc-gated chloride channels in the fall armyworm, Spodoptera frugiperda
Authors: Wang Wei , Chen Jiasheng , Niu Duobang , Zhang Mohan , Cao Haiqun , Palli Subba , Sheng Chengwang 
Published: June 2023

Abstract
The pH-sensitive chloride channels (pHCls) are unique chloride channels in invertebrates and have important roles in regulation of fluid secretion, food selection and intake. pHCls are widely expressed in insects, but little is known about their pharmacological properties and their sensitivity to metal ions. Herein, we isolated two cDNAs (Sfphcl1 and Sfphcl2) that encode SfpHCl1 and SfpHCl2 subunits from the fall armyworm Spodoptera frugiperda. The Sfphcl1 and Sfphcl2 demonstrated similar expression patterns with most abundant expression in the Malpighian tubules of the first instar larval stage. The cRNA of Sfphcl1 and Sfphcl2 were injected into Xenopus laevis oocytes singly or together in three different ratios of 1:4, 1:1 and 4:1 to characterize their function and investigate their zinc ion sensitivity. We found that SfpHCl1 and SfpHCl2 formed chloride channels in oocytes with a reversal potential that is consistent with chloride selectivity, but showed insensitivity to changes in external sodium concentrations. The extracellular pH shift and zinc-elicited inward currents in oocytes expressing SfpHCl1 and SfpHCl2 showed a similar EC50. These results provide the biophysical and pharmacological properties of pH-sensitive, zinc-gated chloride channels. Since the pHCls are present only in invertebrates, they may provide an ideal target for highly specific insecticides.
Seagrass as a Nutraceutical Agent against Proinflammatory Markers
Authors: mathakala Vani , Ullakula Tejaswini , Palempalli Uma Maheswari Devi 
Published: June 2023

Abstract
Background
The Pro-inflammatory mediators such as prostaglandins (PGE2), nitric oxide and Tumor necrosis factor (TNF-α) are the key players in the stimulation of the inflammatory responses. Thus, the pro inflammatory mediators are considered to be potential targets for screening nutraceutical with anti-inflammatory activity.
Methods
In this context, we explored the potency of seagrass extract by using lipopolysaccharide stimulated RAW 264.7 murine macrophages as an experimental model. The anti-inflammatory activity of seagrass was assessed through the down regulation of marker enzymes of inflammation such as COX-2 and nitric oxide and also the inhibition of pro inflammatory mediators.
Results
The phytochemical constituents of seagrass namely Isocoumarin, Hexadecanoic acid, and Cis-9 Octadecenoic acid, 1,2 Benzene dicarboxylic acid and beta-sitosterol were docked with TNF-alpha, COX-2, iNOS and PGES-1 by using Mastero 13.0 software to establish the potential of seagrass metabolites on the modulation of pro inflammatory enzymes and mediators and to prove the significance of seagrass as nutraceutical agent for inflammation.
Conclusions
The methanolic extract of seagrass Halophila beccarii is a potential nutraceutical agent to fight against inflammation with a significant anti-inflammatory activity by controlling the secretion of pro inflammatory mediators such as TNF-alpha, COX-2, iNOS and mPGES.Thus, Inflammation is resolved by regulating the inflammatory pathway mediated by PGE2, TNF-α, NO and down regulation of COX-2 and iNOS.
Adaptative Diffraction Image Registration
for 4D-STEM to optimize ACOM Pattern Matching
Authors: Demortiere Arnaud 
Published: June 2023

Abstract
The technique known as 4D-STEM has recently emerged as a powerful tool for the local characterization of crystalline structures in materials, such as cathode materials for Li-ion batteries or perovskite materials for photovoltaics. However, the use of new detectors optimized for electron diffraction patterns and other advanced techniques requires constant adaptation of methodologies to address the challenges associated with crystalline materials. In this study, we present a novel image processing method to improve pattern matching in the determination of crystalline orientations and phases. Our approach uses sub-pixelar adaptative image processing to register and reconstruct electron diffraction signals in large 4D-STEM datasets. By using adaptive prominence and linear filters such as mean and gaussian blur, we are able to improve the quality of the diffraction pattern registration. The resulting data compression rate of 103 is well-suited for the era of big data and provides a significant enhancement in the performance of the entire ACOM data processing method. Our approach is evaluated using dedicated metrics, which demonstrate a high improvement in phase recognition. Our results demonstrate that this data preparation method not only enhances the quality of the resulting image but also boosts the confidence level in the analysis of the outcomes related to determining crystal orientation and phase. Additionally, it mitigates the impact of user bias that may occur during the application of the method through the manipulation of parameters.