MANAJEMEN SARANA PRASARANA BENGKEL PEMESINAN DI SEKOLAH MENENGAH KEJURUAN NEGERI 3 YOGYAKARTA

Perkembangan Ilmu Pengetahuan dan Teknologi menuntut sekolah untuk dapat menyesuaikan dengan arus perubahan terutama bagi sekolah menengah kejuruan. Lulusan sekolah harus sesuai dengan tuntutan perkembangan zaman. Efektifitas kegiatan kependidikan sekolah dipengaruhi variabel yang menyangkut salah satu aspek yaitu sarana dan prasarana, yang perlu mendapatkan pembinaan dan pengembangan secara berkelanjutan. Tujuan penelitian ini adalah untuk mengetahui manajemen sarana prasarana bengkel pemesinan di SMKN 3 Yogyakarta, dan mengetahui kondisi sarana prasaran bengkel pemesinan SMKN 3 Yogyakarta. Metodologi penelitian yang digunakan adalah penelitian deskriptif kualitatif. Penelitian ini dilakukan di Jurusan Teknik Pemesinan SMKN 3 Yogyakarta. Instrumen yang digunakan berupa wawancara, observasi, dan dokumentasi. Wawancara dilakukan pada kepala jurusan, kepala bengkel dan guru. Data hasil penelitian dianalisis menggunakan teknik analisis deskriptif kualitatif untuk mengetahui manajemen dan kondisi sarana prasarana bengkel pemesinan di SMKN 3 Yogyakarta. Dari hasil penelitian diketahui bahwa manajemen sarana prasarana bengkel pemesinan di SMKN 3 Yogyakarta yang terdiri dari 1) perencanaan sarana prasarana bengkel di SMKN 3 Yogyakarta berjalan sesuai prosedur yang ditetapkan; 2) pengorganisasian berjalan baik sesuai dengan job deskripsi; 3) pelaksanaan sarana prasaran bengkel pemesinan berjalan dengan baik; 4) pengawasan sarana prasarana bengkel pemesinan juga baik dalam pengawasannya oleh kepala bengkel, teknisi dan guru mata pelajaran teknik pemesinan. Adapaun kondisi sarana prasarana bengkel pemesinan di SKMN 3 Yogyakarta terutama alat dan mesin yang cukup baik digunakan dalam pembelajaran praktik. Adapun masalah juga yang dihadapi yaitu kondisi bengkel praktik pemesinan yang saat ini belum memiliki bengkel khusus untuk pembelajaran praktik sehingga masih menggunakan ruangan kelas untuk sementara ini sebagai bengkel pemesinan, hal ini dikarenakan dana yang kurang dalam pengadaan sarana prasarana bengkel. Kata kunci : manajemen sarana prasaran

Character-based Writer Verification of Ancient Hebrew Square-script Manuscripts: On Edge-direction Feature

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Automated salamander recognition using deep neural networks and feature extraction

This paper presents a study conducted to recognize salamanders by using their unique body markings based on images. The detection and matching of unique patterns in a salamander’s body can be complex due variability in individual animals size, shape, orientation and also influence from the external enviornment. While traditional methods require time intensive manual image corrections of the salamanders to achieve accurate recognition, in this work we propose a fully automatic techinque for straigthening. We also propose a matching technique based on the corrected images. The convolutional neural network ResNet50 and dense scale-invariant feature transform (DSIFT) are used for belly pattern localization, and matching for salamander recognition

Hyperspectral imaging and machine learning for the prediction of SSC in kiwi fruits

Solids Content (SSC) of the fruits in a non-destructive way. A database is created which includes the hyperspectral data acquired in the visible and near-infrared region (VNIR) and measurements done with a sugar meter.We have applied di?erent machine learning techniques to investigate the correlation between spectral information and the SSC. The models tested were support vector regression (SVR), k-nearest neighbor (KNN), partial least squares (PLS), and multiple linear regression (MLR) with di?erent variable selection techniques and dimensionality reduction. The best model at determining SSC was Uninformative Variable Elimination (UVE)-PLS, which had RMSE = 1.047 °Brix and R2 = 0.39 on the test set

Publisher Correction: Structural Implications of Mutations Conferring Rifampin Resistance in Mycobacterium leprae.

A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has not been fixed in the paper

In vitro antiviral activity of SCH446211 (SCH6), a novel inhibitor of the hepatitis C virus NS3 serine protease

Background: Current hepatitis C virus (HCV) therapies may cure ∼60% of infections. They are often contraindicated or poorly tolerated, underscoring the need for safer and more effective drugs. A novel, α-ketoamide-derived, substrate-based inhibitor of the HCV serine protease (SCH446211) was developed. Compared with earlier reported inhibitors of similar chemical class, it has a P1′-P2′ extension which provides extended interaction with the protease active site. The aim of this study was to evaluate the in vitro antiviral activity of SCH446211. Methods: Binding constant of SCH446211 to HCV NS3 protease was measured with the chromogenic substrate in vitro cleavage assay. Cell-based activity of SCH446211 was evaluated in replicon cells, which are Huh-7 hepatoma cells stably transfected with a subgenomic HCV RNA as reported previously. After 72 h of incubation with SCH446211, viral transcription and protein expression were measured by real-time RT-PCR (TaqMan), quantitative in situ hybridization, immunoblot and indirect immunofluorescence. Results: The binding constant of SCH446211 to HCV NS3 protease was 3.8 ± 0.4 nM. HCV replication and protein expression were inhibited by SCH446211 in replicon cells as consistently shown by four techniques. In particular, based on quantitative real-time RT-PCR measurements, the IC50 and IC90 of SCH446211 were estimated to be 40 ± 20 and 100 ± 20 nM (n = 17), respectively. Long-term culture of replicon cells with SCH446211 reduced replicon RNA to <0.1 copy per cell. SCH446211 did not show cellular toxicity at concentrations up to 50 μM. Conclusions: SCH446211 is a potent inhibitor of HCV protease in vitro. Its extended interaction with the HCV NS3 protease active site is associated with potent in vitro antiviral activity. This observation is potentially a useful guide for development of future potent inhibitors against HCV NS3 proteas

Estimating the Seroincidence of Scrub Typhus using Antibody Dynamics after Infection

Scrub typhus, a vector-borne bacterial infection, is an important but neglected disease globally. Accurately characterizing the burden is challenging because of nonspecific symptoms and limited diagnostics. Prior seroepidemiology studies have struggled to find consensus cutoffs that permit comparisons of estimates across contexts and time. In this study, we present a novel approach that does not require a cutoff and instead uses information about antibody kinetics after infection to estimate seroincidence. We use data from three cohorts of scrub typhus patients in Chiang Rai, Thailand, and Vellore, India, to characterize antibody kinetics after infection and two population serosurveys in the Kathmandu Valley, Nepal, and Tamil Nadu, India, to estimate seroincidence. The samples were tested for IgM and IgG responses to Orientia tsutsugamushi-derived recombinant 56-kDa antigen using commercial enzyme-linked immunosorbent assay kits. We used Bayesian hierarchical models to characterize antibody responses after scrub typhus infection and used the joint distributions of the peak antibody titers and decay rates to estimate population-level incidence rates in the cross-sectional serosurveys. Median responses persisted above an optical density (OD) of 1.8 for 23.6 months for IgG and an OD of 1 for 4.5 months for IgM. Among 18- to 29-year-olds, the seroincidence was 10 per 1,000 person-years (95% CI, 5-19) in Tamil Nadu, India, and 14 per 1,000 person-years (95% CI: 10-20) in the Kathmandu Valley, Nepal. When seroincidence was calculated with antibody decay ignored, the disease burden was underestimated by more than 50%. The approach can be deployed prospectively, coupled with existing serosurveys, or leverage banked samples to efficiently generate scrub typhus seroincidence estimates

Multi-site investigation of strategies for the implementation of CYP2C19 genotype-guided antiplatelet therapy

CYP2C19 genotype-guided antiplatelet therapy following percutaneous coronary intervention is increasingly implemented in clinical practice. However, challenges such as selecting a testing platform, communicating test results, building clinical decision support processes, providing patient and provider education, and integrating methods to support the translation of emerging evidence to clinical practice are barriers to broad adoption. In this report, we compare and contrast implementation strategies of 12 early adopters, describing solutions to common problems and initial performance metrics for each program. Key differences between programs included the test result turnaround time and timing of therapy changes which are both related to CYP2C19 testing model and platform used. Sites reported the need for new informatics infrastructure, expert clinicians such as pharmacists to interpret results, physician champions, and ongoing education. Consensus lessons learned are presented to provide a path forward for those seeking to implement similar clinical pharmacogenomics programs within their institutions. This article is protected by copyright