PENGGUNAAN MEDIA GAMBAR SERI UNTUK MENINGKATKAN KETERAMPILAN MENULIS KALIMAT SEDERHANA SISWA KELAS II SEKOLAH DASAR

Penelitian ini dilatarbelakangi oleh rendahnya keterampilan siswa dalam menulis kalimat sederhana. Rendahnya keterampilan menulis siswa disebabkan karena dalam menulis kalimat sederhana dengan mengamati gambar, siswa masih binggung memilih kata untuk menuangkan ide yang ada dalam pikiran mereka.Gambar yang ada dalam buku siswa sulit dideskripsikan oleh siswa itu sendiri. Sehubungan dengan permasalahan di atas, maka cara tepat yang digunakan untuk perbaikan mutu pembelajaran Bahasa Indonesia di SDN S3 dalam meningkatkan keterampilan menulis kalimat sederhana dengan menggunakan media gambar seri karena dapat mempermudah siswa dalam menyusun sebuah karangan, paragraf ataupun kalimat sederhana sehingga pembelajaran akan lebih tertantang untuk membuat suatu karya tulis. Dan siswa dapat mudah menyusun kata-kata menjadi sebuah kalimat sederhana yang utuh. Metode yang digunakan dalam penelitian tindakan kelas dari Kemmis & Taggart (Arikunto, 2014, hlm. 74) yang terdiri dari empat tahapan yaitu: perencanaan, pelaksanaan, pengamatan dan refleksi dalam dua siklus penelitian dimana tiap siklus difokuskan pada materi tentang menulis kalimat sederhana dalam teks laporan sederhana dengan menggunakan media gambar seri. Penelitian ini dilaksanakan di SDN S3 kecamatan Sukasari, dengan subjek penelitian kelas II. Tujuan pelaksanaan tindakan kelas adalah untuk mengetahui bagaimana penggunaan media gambar seri dapat meningkatkan keterampilan menulis kalimat sederhana. Perencanaan pembelajaran dengan menggunakan media gambar seri dalam menulis kalimat sederhana pada siswa kelas II SD. Pelaksanaan penerapan dengan menggunakan media gambar seri dalam menulis kalimat sederhana pada siswa kelas II SD. Hasil belajar siswa dalam menulis kalimat sederhana setelah menggunakan media gambar seri pada siswa kelas II SD. Hal ini terlihat dari hasil belajar siswa mulai siklus I sampai siklus II yang mengalami kemajuan, dengan nilai persentasi siklus I 61,76% dan siklus II 97,05% dari KKM yaitu 72. Dengan demikian dapat disimpulkan bahwa penggunaan media gambar seri dapat meningkatkan keterampilan menulis siswa. Maka peneliti merekomendasikan kepada pendidik mengenai penggunaan media gambar seri sebagai media pembelajaran menulis kalimat sederhana, karena dengan menggunakan media gambar seri dapat menuangkan ide dan gagasannya ke dalam bentuk bahasa tulisan. ;--- This research is motivated by the lack of students' skills in writing simple sentences. Lack of writing skills of students due to write simple sentences by observing the images, students are still confused choose words for ideas that exist in their minds. Pictures in the book difficult students described by the students themselves. In connection with the above problems, the right way is used for the improvement of the quality of learning Indonesian in Public Alementary School S3 in improving the skills of writing simple sentences using the media image series because it can facilitate the students in preparing an article, a paragraph or a simple sentence so that learning will be more challenged to make a paper. And students can easily arrange the words into a simple sentence intact. The method used in the classroom action research of Kemmis& Taggart (Arikunto, 2014, p. 74), which consists of four phases: planning, implementation, observation and reflection in two cycles of study in which each cycle is focused on material about writing simple sentences in the text simple report using the media image series. This research was conducted in Public Alementary SchoolS3 Sukasari districts, with a grade II research subjects. The aim of implementing a class action is to know how to use the media image series can increase the skill of writing simple sentences. Planning learning by using media images in the series to write a simple sentence in grade IIAlementary School.Implementation of the application by using the media image series in write simple sentences in grade II AlementaryCchool. The results of students in writing simple sentences after using media image series in grade II AlementaryCchool. It is evident from the results of student learning begin the first cycle to the second cycle is progressing, with a percentage of the value of the first cycle and cycle II 61.76% 97.05% from KKM is 72. It can be concluded that the use of the media image series can improve skills writing students. The researchers recommend to educators regarding the use of media image series as a medium of learning to write simple sentences, because by using the media image series can pour his ideas in the form of written language

wild birds in Serbia during 2012: first isolation and characterisation of WNV strains from Serbia

Monitoring West Nile virus (WNV) infection i

Scaling Agile Beyond Organizational Boundaries: Coordination Challenges in Software Ecosystems

The shift from sequential to agile software development originates from relatively small and co-located teams but soon gained prominence in larger organizations. How to apply and scale agile practices to fit the needs of larger projects has been studied to quite an extent in previous research. However, scaling agile beyond organizational boundaries, for instance in a software ecosystem context, raises additional challenges that existing studies and approaches do not yet investigate or address in great detail. For that reason, we conducted a case study in two software ecosystems that comprise several agile actors from different organizations and, thereby, scale development across organizational boundaries, in order to elaborate and understand their coordination challenges. Our results indicate that most of the identified challenges are caused by long communication paths and a lack of established processes to facilitate these paths. As a result, the participants in our study, among others, experience insufficient responsivity, insufficient communication of prioritizations and deliverables, and alterations or loss of information. As a consequence, agile practices need to be extended to fit the identified needs

Hypotheses Elicitation in Early-Stage Software Startups Based on Cognitive Mapping

Software startups develop innovative products for which there are typically no customers to refer to elicit requirements. Often, these companies develop a set of features without a better understanding of customer needs. An experiment-based approach to validate hypotheses about the customer and market could increase their chance of success or, at least, accelerate their realization of the product worthlessness. The first step of an experiment-based approach is to elicit hypotheses to guide experiments. Software startups base their products on business assumptions, but there is a lack of understanding of how these assumptions are formed and how teams could elicit hypotheses systematically. To fill this gap, we performed an empirical study consisted of two steps. First, we explored based on which assumptions startups define their products using a multiple case study. The results indicate that these companies developed their products based on founders' assumptions derived from their previous experience. Second, we investigated cognitive mapping as a tool to elicit hypotheses systematically with two software startups. The results indicate that this approach can serve as the basis of a method to elicit hypotheses in early-stage software startups

Chlamydia pecorum prevalence in South Australian koala (Phascolarctos cinereus) populations: identification and modelling of a population free from infection

Chlamydia pecorum is an established and prevalent infection that produces severe clinical disease in many koala populations, contributing to dramatic population declines. In wild South Australian koala populations, C. pecorum occurrence and distribution is unknown. Here, C. pecorum-specific real-time quantitative PCR (qPCR) was applied to ocular and urogenital swabs from targeted surveys of wild koalas from the mainland Mount Lofty Ranges (MLR) (n = 75) and Kangaroo Island (KI) (n = 170) populations. Historical data from 13,081 KI koalas (1997-2018) provided additional evidence for assessing the absence of C. pecorum infection. In the MLR population, 46.7% (CI: 35.1-58.6%) of koalas were C. pecorum positive by qPCR but only 4% had grade 3 clinical disease. MLR koala fertility was significantly reduced by C. pecorum infection; all reproductively active females (n = 16) were C. pecorum negative, whereas 85.2% of inactive females (n = 23) were positive (P < 0.001). KI koalas were C. pecorum negative and the population was demonstrated to be free of C. pecorum infection with 95% confidence. C. pecorum is a real threat for the sustainability of the koala and KI is possibly the last isolated, large C. pecorum-free population remaining in Australia. These koalas could provide a safeguard against this serious disease threat to an iconic Australian species.Jessica Fabijan, Charles Caraguel, Martina Jelocnik, Adam Polkinghorne, Wayne S.J. Boardman, Elisa Nishimoto, Greg Johnsson, Robyn Molsher, Lucy Woolford, Peter Timms, Greg Simmons, Farhid Hemmatzadeh, Darren J. Trott, Natasha Speigh

Software for the frontiers of quantum chemistry:An overview of developments in the Q-Chem 5 package

This article summarizes technical advances contained in the fifth major release of the Q-Chem quantum chemistry program package, covering developments since 2015. A comprehensive library of exchange–correlation functionals, along with a suite of correlated many-body methods, continues to be a hallmark of the Q-Chem software. The many-body methods include novel variants of both coupled-cluster and configuration-interaction approaches along with methods based on the algebraic diagrammatic construction and variational reduced density-matrix methods. Methods highlighted in Q-Chem 5 include a suite of tools for modeling core-level spectroscopy, methods for describing metastable resonances, methods for computing vibronic spectra, the nuclear–electronic orbital method, and several different energy decomposition analysis techniques. High-performance capabilities including multithreaded parallelism and support for calculations on graphics processing units are described. Q-Chem boasts a community of well over 100 active academic developers, and the continuing evolution of the software is supported by an “open teamware” model and an increasingly modular design

Data-driven decision-making in product R&D

Software development companies experience the road mapping and requirements ranking process to be complex as product management (PdM) strives in getting timely and accurate feedback from the customers. Often, companies have insufficient knowledge about how their products are being used, what features the customers appreciate and which ones will generate revenue. To address this problem, this research aims at helping the companies in closing the ‘open’ feedback loop that exists between PdM and customers. Moreover, the research strives at exploring techniques that can be used to involve customers in continuous validation of software functionality in order to provide PdM with the evidence needed for accurate R&D investments

Time to Say 'Good Bye': Feature Lifecycle

With continuous deployment of software functionality, a constant flow of new features to products is enabled. Although new functionality has potential to deliver improvements and possibilities that were previously not available, it does not necessary generate business value. On the contrary, with fast and increasing system complexity that is associated with high operational costs, more waste than value risks to be created. Validating how much value a feature actually delivers, project how this value will change over time, and know when to remove the feature from the product are the challenges large software companies increasingly experience today. We propose and study the concept of a software feature lifecycle from a value point of view, i.e. how companies track feature value throughout the feature lifecycle. The contribution of this paper is a model that illustrates how to determine (1) when to add the feature to a product, (2) how to track and (3) project the value of the feature during the lifecycle, and how to (4) identify when a feature is obsolete and should be removed from the product

Data-driven decision-making in product R&D

Software development companies experience the road mapping and requirements ranking process to be complex as product management (PdM) strives in getting timely and accurate feedback from the customers. Often, companies have insufficient knowledge about how their products are being used, what features the customers appreciate and which ones will generate revenue. To address this problem, this research aims at helping the companies in closing the ‘open’ feedback loop that exists between PdM and customers. Moreover, the research strives at exploring techniques that can be used to involve customers in continuous validation of software functionality in order to provide PdM with the evidence needed for accurate R&D investments