LAPORAN INDIVIDU PRAKTIK PENGALAMAN LAPANGAN (PPL) DI SD NEGERI SINDUADI 2 TAHUN AKADEMIK 2015/2016

Kegiatan Praktik Pengalaman Lapangan (PPL) adalah kegiatan pengabdian yang dilakukan oleh mahasiswa yang menempuh pendidikan di UNY untuk mengabdi di sebuah institusi sekolah dalam rangka untuk meningkatkan kemampuannya dalam bidang pendidikan. Dalam hal ini mahasiswa melakukan kegiatan Praktik Pengalaman Lapangan di SD Negeri Sinduadi 2 sebagai salah satu sekolah yang bekerjasama dengan UNY untuk menjadi lokasi PPL pada tahun 2015. Tujuan dari program PPL adalah untuk memberikan pengalaman kepada mahasiswa dalam kegiatan PPL, mahasiswa akan mengamalkan semua yang telah didapatkan di perkuliahan baik dalam bidang pembelajaran di sekolah, kegiatan manajerial, dan kegiatan lainnya sebagai bentuk pengabdian kepada sekolah. Hal ini dilakukan agar kegiatan PPL dapat memberikan pengalaman kepada mahasiswa dalam rangka melatih dan mengembangkan profesionalismenya dalam bidang pendidikan, memberikan kesempatan kepada mahasiswa untuk mengenal, belajar, dan memahami seluk beluk sekolah dengan segala permasalahannya, serta memberikan kesempatan kepada mahasiswa untuk menerapkan pengetahuan dan kemampuan yang telah dimiliki dalam proses pembelajaran. Program PPL ini meliputi pelaksanaan praktik mengajar dan kegiatan manajerial yang lain. Kegiatan mengajar yang dilakukan berupa kegiatan mengajar terbimbing sebanyak 4 kali, kegiatan mengajar mandiri sebanyak 1 kali dan ujian praktik mengajar sebanyak 2 kali. Selain itu mahasiswa juga melakukan kegiatan manajerial berupa inventarisasi saran dan prasarana sekolah dan penataan perpustakaan sekolah. Kegiatan PPL ini berlangsung dari tanggal 10 Agustus 2015 hingga 14 September 2015. Pelaksanaan kegiatan PPL meliputi tiga tahapan yaitu, tahap persiapan, pelaksanaan dan evaluasi. Tahapan persiapan PPL meliputi tahap observasi sekolah dan penyusunan program. Tahap pelaksanaan meliputi praktik mengajar, kegiatan manajerial, dan ujian. Tahap evaluasi sebagai refleksi keberhasilan program yang telah dilaksanakan dengan cara meyusun laporan pelaksanaan program PPL. Pada pelaksanaan program PPL di SD Negeri Sinduadi 2 berjalan dengan baik. Meskipun terdapat beberapa kendala yang dihadapi, akan tetapi dengan kerja sama yang dibangun diantara para mahasiswa PPL dan pihak sekolah, akhirnya mahasiswa dan pihak sekolah dapat mengatasi permasalahan yang ada. Diharapkan setelah pelaksanaan program PPL akan memberikan kesan mendalam bagi mahasiswa dan pihak sekolah sehingga akan terbentuk kerjasama yang lebih baik antara pihak UNY, mahasiswa, dan sekolah

Uncertainties in ocean biogeochemical simulations: Application of ensemble data assimilation to a one-dimensional model

Marine biogeochemical (BGC) models are highly uncertain in their parameterization. The value of the BGC parameters are poorly known and lead to large uncertainties in the model outputs. This study focuses on the uncertainty quantification of model fields and parameters within a one-dimensional (1-D) ocean BGC model applying ensemble data assimilation. We applied an ensemble Kalman filter provided by the Parallel Data Assimilation Framework (PDAF) into a 1-D vertical configuration of the BGC model Regulated Ecosystem Model 2 (REcoM2) at two BGC time-series stations: the Bermuda Atlantic Time-series Study (BATS) and the Dynamique des Flux Atmosphériques en Méditerranée (DYFAMED). We assimilated 5-day satellite chlorophyll-a (chl-a) concentration and monthly in situ net primary production (NPP) data for 3 years to jointly estimate 10 preselected key BGC parameters and the model state. The estimated set of parameters resulted in improvements in the model prediction up to 66% for the surface chl-a and 56% for NPP. Results show that assimilating satellite chl-a concentration data alone degraded the prediction of NPP. Simultaneous assimilation of the satellite chl-a data and in situ NPP data improved both surface chl-a and NPP simulations. We found that correlations between parameters preclude estimating parameters independently. Co-dependencies between parameters also indicate that there is not a unique set of optimal parameters. Incorporation of proper uncertainty estimation in BGC predictions, therefore, requires ensemble simulations with varying parameter values

Peningkatan Prestasi Akademik Mahasiswa Jurusan Pendidikan dari Sekolah Menengah Kejuruan Melalui Keprofesionalan Dosen Khususnya di Fakultas Tarbiyah

Prestasi adalah hasil kegiatan yang telah dilakukan, yang diciptakan, yang diperoleh melalui keuletan kerja, dan menyenangkan baik secara individu maupun tim dalam bidang kegiatan tertentu. Untuk mencapai tujuan pendidikan nasional, setiap warga negara yang berkualitas perlu mengikuti perkembangan zaman, mengikuti perkembangan zaman, mengikuti perkembangan zaman, mengikuti perkembangan zaman, dan mengikuti perkembangan zaman, sehingga profesionalisme dosen sangat dibutuhkan beradaptasi dengan zaman. Mengetahui mengenai peningkatan prestasi akademik dan faktor yang mempengaruhi kinerja akademik siswa pada bidang pendidikan Sekolah Menengah Kejuruan (SMK) melalui keprofesionalan dosen di Fakultas Tarbiyah. peneliti menggunakan metode penelitian kepustakaan atau yang biasa disebut penelitian kepustakaan deskriptif kualitatif. Hasil penelitian ini menunjukkan bahwa kinerja akademik siswa pendidikan Sekolah Menengah Kejuruan (SMK) ditingkatkan melalui profesionalisme dosen Fakultas Tarbiyah, selain itu dapat digunakan sebagai masukan atau pelengkap jika hasil penelitian berbeda, sehingga makalah ini tesis terus berkembang, dan tidak berhenti sampai di situ

Forcing ocean model with atmospheric model outputs to simulate storm surge in the Bangladesh coast

Tropical cyclones are devastating hazards and have been a major problem for the coastal population of Bangladesh. Among the advancements in atmospheric and oceanic prediction, accurate forecasting of storm surges is of specific interest due to their great potential to inflict loss of life and property. For decades, the numerical model based storm surge prediction systems have been an important tool to reduce the loss of human lives and property damage. In order to improve the accuracy in predicting storm surge and coastal inundation, recent model development efforts tended to include more modeling components, such as meteorology model and surface wave model in storm surge modeling. In this study, we used the outputs of an atmospheric model to force the ocean model for simulating storm surges in the Bay of Bengal with particular focus on the Bangladesh coast. The ability of the modeling system was investigated simulating water levels in the Bangladesh coast of two tropical cyclones Sidr (2007) and Aila (2009). The effectiveness of the model was verified through comparing the obtained computational outputs against tide gauge data. The cyclone tracks and intensities reproduced by the atmospheric model were reasonable, though the model had a tendency to overestimate the cyclone intensity during peaks and also close to coast. The water levels are reproduced fairly well by the ocean model, although errors still exist. The root mean square errors in water level at different gauges range from 0.277 to 0.419 m with coefficient of correlation (R2) between 0.64 to 0.97 in case of Sidr and 0.209 to 0.581 m with R2 0.62 to 0.98 for Aila. The overall coupled modeling system is found to be useful with reasonable accuracy and precision, though there are spaces for improvement. Higher-resolution modeling approaches are recommended to gain more skills

Global sensitivity analysis of a one-dimensional ocean biogeochemical model

Ocean biogeochemical (BGC) models are a powerful tool for investigating ocean biogeochemistry and the global carbon cycle. The potential benefits emanating from BGC simulations and predictions are broad, with significant societal impacts from fisheries management to carbon dioxide removal and policy-making. These models contain numerous parameters, each coupled with large uncertainties, leading to significant uncertainty in the model outputs. This study performs a global sensitivity analysis (GSA) of an ocean BGC model to identify the uncertain parameters that impact the variability of model outputs most. The BGC model Regulated Ecosystem Model 2 is used in a one-dimensional configuration at two ocean sites in the North Atlantic (BATS) and the Mediterranean Sea (DYFAMED). Variance-based Sobol' indices are computed to identify the most influential parameters for each site for the quantities of interest (QoIs) commonly considered for the calibration and validation of BGC models. The most sensitive parameters are the chlorophyll to nitrogen ratio, chlorophyll degradation rate, zooplankton grazing and excretion parameters, photosynthesis parameters, and nitrogen and carbon remineralization rate. Overall, the sensitivities of most QoIs were similar across the two sites; however, some differences emerged because of different mixed layer depths. The results suggest that implementing multiple zooplankton function types in BGC models can improve BGC predictions. Further, explicitly implementing heterotrophic bacteria in the model can better simulate the carbon export production and CO2 fluxes. The study offers a comprehensive list of the most important BGC parameters that need to be quantified for future modeling applications and insights for BGC model developments.  </jats:p

Co-producing representations of summer rainfall in Bangladesh

Climate adaptation governance increasingly investigates the cultural capacities of communities to cope with climate variability and change. This paper reports on research of the symbolic representations of summer rainfall in the cultural repertoires guiding diverse institutionalised fields of activity in Sylhet Division. The research conducted interviews and co-created ‘cognitive maps’ with communities, to critically reflect on their changing seasonal symbols. The study revealed a common stock of summer symbols in Sylhet communities, which individuals reconfigure for strategizing and justifying particular practices. Symbols are stable but not static. As people’s uses of knowledge systems change—moving toward scientific representations—so too does their use of symbols. Moreover, environmental and climatic changes, such as a drying summer, are undermining long-held semiotic templates. Many local and traditional signs no longer hold, leaving communities without cultural templates for timely seasonal action. This work highlights the importance of cultural frameworks for organising communities’ seasonal adaptation, and the imperative for critically revisiting frameworks in rapid flux.publishedVersio

Improving Arctic sea-ice thickness estimates with the assimilation of CryoSat-2 summer observations

Rapidly shrinking Arctic sea ice has had substantial impacts on the Earth system. Therefore, reliably estimating the Arctic sea-ice thickness (SIT) using a combination of available observations and numerical modeling is urgently needed. Here, for the first time, we assimilate the latest CryoSat-2 summer SIT data into a coupled ice-ocean model. In particular, an incremental analysis update scheme is implemented to overcome the discontinuity resulting from the combined assimilation of biweekly SIT and daily sea-ice concentration (SIC) data. Along with improved estimates of sea-ice volume, our SIT estimates corrected the overestimation of SIT produced by the reanalysis that assimilates only SIC in summer in areas where the sea ice is roughest and experiences strong deformation, e.g., around the Fram Strait and Greenland. This study suggests that the newly developed CryoSat-2 SIT product, when assimilated properly using our approach, has great potential for Arctic sea-ice simulation and prediction.</jats:p

Status hadith dalam Risalah Tarekat Naqshabandiyyah karya Sheikh Yahya

Kitab jawi tentang tasawuf dan tarekat yang bertajuk Risalah Tarekat Naqshabandiyyah Jalan Makrifat ialah kitab yang ditulis oleh Sheikh Yahya bin Laksaman al-Khalidi (1910-1989 M), seorang guru mursyid tarekat Naqshabandiyyah daripada Sumatera. Artikel ini telah meneliti 17 hadith tentang zikrullah yang terdapat dalam siri pertama risalah tersebut. Kajian dibuat bagi mengenal pasti sumber pengambilan hadith, sanad dan hukumnya. Juga menganalisis peratusan hadith yang diterima dan boleh digunakan sebagai motivasi untuk beramal, dan peratusan hadith yang ditolak. Kaedah takhrij telah digunakan bagi mengenal pasti hadith, iaitu dengan cara mencari daripada sumber yang berasal daripada masadir al-asliyyah dan masadir ghaiyr alasliyyah dengan bantuan laman-laman sesawang aplikasi carian hadith. Metode analisis yang digunakan ialah metode analisis kandungan dan mengambil reka bentuk kajian kualitatif. Kajian mendapati, daripada 17 hadith yang diteliti tiga hadith di antaranya berstatus sahih (17.64%), tiga ḥasan li dhatih (17.64%), satu hasan li ghayrih (5.88%), tujuh hadith daif (41.17%), dua mawdu (11.76%), dan satu hadith yang tidak dikesan sumbernya (5.88%). Kajian juga mendapati 14 hadith diterima (82.35%) dan tiga hadith ditolak (17.64%)