145 research outputs found

    PENGEMBANGAN BUDAYA SEKOLAH UNTUK PENINGKATAN KOMPETENSI PROFESIONAL GURU PADA MTSN 1 TAKENGON

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    PENGEMBANGAN BUDAYA SEKOLAH UNTUK PENINGKATAN KOMPETENSI PROFESIONAL GURU PADA MTSN 1 TAKENGONOleh: NazirUsmanNIM: 1109200050056KomisiPembimbing:1.Prof. Dr. Yusrizal, M. Pd.2.Prof. Dr. Murniati AR, M. Pd.ABSTRAKPengembangan budaya organisasi merupakan variable kunci yang bias mendorong pengembangan profesionalisme guru yang pada akhirnya dapat meningkatkan kinerja sekolah, berhasil atau tidaknya seorang guru dalam kegiatan belajar mengajar dibutuhkan budaya organisasi yang baik untuk meningkatkan mutu pendidikan. Penelitian ini bertujuan untuk mendapatkan data tentang budaya organisasi yang diterapkan disekolah sehingga dapat meningkatkan kompetensi profesional guru.Untuk mencapai penelitian ini peneliti menggunakan pendekatan kualitati fdengan metode deskriptif. Tekhnik pengumpulan data observasi, wawancara, dan study dokumentasi prosedur analisis data adalah reduksi data, display data, danverifikasi, subjek penelitian adalah kepala sekolah, wakil kepala sekolah, dan guru. Hasil penelitian menunjukkan bahwa: (1) Pengembangan budaya disiplin dalam menaati peraturan sekolah oleh kepala sekolah dapat meningkatkan professional guru dalam meningkatkan mutu pendidikan sekolah, (2) Pengembangan budaya tanggung jawab oleh kepala sekolah selalu dipenuhi oleh kepala sekolah sehingga semua guru tidak bermain-main dalam menjalankan aktivitas nya sebagai pendidik. (3) Pengembangan budaya malu oleh kepala sekolah juga terus dilakukan kepala sekolah sehingga guru-guru tidak bias bermain main dalam proses belajar pembelajaran.Kata kunci : BudayaSekolah/Organisasidan Profesional Gur

    Khazanay.com set their accounts straight

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    Khazanay.com, an online portal selling used stuff online, is started by two enterprising young individuals in November 2015, Usman and Farid. Setting up the business was a tough task to conquer for used goods business is different from regular trading because of the inconsistent quality of procured products and the additional complexity of grading the products for quality. Further, identical goods are non-existent as every item is unique.The marketing end is also complicated as customers know that the good is already used and would have signs of wear and tear.However, equipped with healthy corporate training, quality education, unwavering commitment and persistence in getting the idea to work, both entrepreneurs managed to develop and maintain a process where the business has become profitable within one year.Being professional accountants, both entrepreneurs are aware of the importance of Financial Reporting, and their accounting prowess has been one of the main factors of their success.This case study talks about the entrepreneurial journey and how financial reporting may help a start-up in the initial phase

    Case: Sour experiences make Waji Boutique look for better ways to run the business

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    It had only been a few months since Mr Bashir Ahmed, a retired IT Consultant, opened a boutique. He had done a good job in setting up the boutique and sourcing the necessary products for it.His business was slowly nudging towards break-even and everything was running smoothly, so he thought. After seven months of work, his salesperson and the only employee, Khawar, left work without prior notice. Mr Bashir decided to sit at the boutique himself until he found a suitable replacement. He was shocked to find all the fraudulent activities and deceptive tactics Khawar had been using right under his nose.There was inventory mismanagement, accounts manipulation and hidden loans on company’s accounts.Mr Bashir is sitting at the boutique and thinking how to fix the issues and the best way to move forward

    Automated grading of chest x-ray images for viral pneumonia with convolutional neural networks ensemble and region of interest localization

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    Following its initial identification on December 31, 2019, COVID-19 quickly spread around the world as a pandemic claiming more than six million lives. An early diagnosis with appropriate intervention can help prevent deaths and serious illness as the distinguishing symptoms that set COVID-19 apart from pneumonia and influenza frequently don't show up until after the patient has already suffered significant damage. A chest X-ray (CXR), one of many imaging modalities that are useful for detection and one of the most used, offers a non-invasive method of detection. The CXR image analysis can also reveal additional disorders, such as pneumonia, which show up as anomalies in the lungs. Thus these CXRs can be used for automated grading aiding the doctors in making a better diagnosis. In order to classify a CXR image into the Negative for Pneumonia, Typical, Indeterminate, and Atypical, we used the publicly available CXR image competition dataset SIIM-FISABIO-RSNA COVID-19 from Kaggle. The suggested architecture employed an ensemble of EfficientNetv2-L for classification, which was trained via transfer learning from the initialised weights of ImageNet21K on various subsets of data (Code for the proposed methodology is available at: https://github.com/asadkhan1221/siim-covid19.git). To identify and localise opacities, an ensemble of YOLO was combined using Weighted Boxes Fusion (WBF). Significant generalisability gains were made possible by the suggested technique's addition of classification auxiliary heads to the CNN backbone. The suggested method improved further by utilising test time augmentation for both classifiers and localizers. The results for Mean Average Precision score show that the proposed deep learning model achieves 0.617 and 0.609 on public and private sets respectively and these are comparable to other techniques for the Kaggle dataset

    Stalking of healthcare professionals by their clients: The prevalence, motivation, and effect

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    It is proposed that healthcare professionals are prone to be stalked by their patients, but many feel ashamed to talk about it, believing that they might have done something to warrant the stalking. We undertook a rigorous review of the literature with the primitive goal of highlighting noteworthy issues on the stalking of healthcare professionals and psychologists by their patients. Databases such as PubMed and Google Scholar were searched to collate articles and studies on the topic with the keywords “stalker, stalking, assaults, aggression, and physicians”. From the review, the prevalence rate of stalking healthcare professionals ranged between 6% - 53%. This huge variation was largely due to the inconsistencies in the definition of what constituted stalking. The common motives of stalkers were largely due to erotomania or misguided expectation and a sense of resentment due to service dissatisfaction. Finally, it was apparently right to conclude that, medical doctors or healthcare professionals are at risk of being stalked on the grounds of service dissatisfaction, and mismanagement of treatment processes resulting in physical or perceived client injuries. Whereas psychologists and other psychiatrists are more prone to be stalked due to erotomaniac reasons

    Feature Selection on Sentinel-2 Multi-spectral Imagery for Efficient Tree Cover Estimation

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    This paper proposes a multi-spectral random forest classifier with suitable feature selection and masking for tree cover estimation in urban areas. The key feature of the proposed classifier is filtering out the built-up region using spectral indices followed by random forest classification on the remaining mask with carefully selected features. Using Sentinel-2 satellite imagery, we evaluate the performance of the proposed technique on a specified area (approximately 82 acres) of Lahore University of Management Sciences (LUMS) and demonstrate that our method outperforms a conventional random forest classifier as well as state-of-the-art methods such as European Space Agency (ESA) WorldCover 10m 2020 product as well as a DeepLabv3 deep learning architecture.Comment: IEEE IGARSS 202

    Sejarah pengaruh pelita terhadap kehidupan masyarakat pedesaan di daerah Jambi

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    Dua periode Pembangunan Lima Tahun (Pelita) telah dilampaui dan dalam kedua periode itu pula masyarakat di pedesaan telah dirangsang dan didorong oleh pemerintah melalui berbagai program untuk secara bersama-sama menggerakkan pembangunan. Pemimpin-pemimpin masyarakat, baik formal maupun non-formal diharapkan pengabdian dan partisipasinya, untuk sejauh mungkin dapat membangkitkan semangat pembangunan yang tinggi dalam melaksanakan pembangunan itu oleh rakyat atau penduduk di mana pun mereka berada. Buku ini memuat uraian tentang pelaksanaan Pelita dan pengaruhnya terhadap kehidupan masyarakat pedesaan di daerah Jambi terutama di bidang pemerintahan desa
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