Perancangan Promosi Keindahan Dan Kebudayaan Ambon Melalui Media Audio Visual (Times New Roman 14 PT, Bold, Center, Maksimal 14 Kata) + (Dua Spasi, 10 PT)

Video ini memperlihatkan keindahan dan kebudayaan di kota Ambon Provinsi Maluku, berupa film dokumenter. Dengan perancangan film dokumenter ini diharapkan dapat memberikan informasi yang terkandung dalam film ini dan masyarakat Indonesia dapat mengenal juga keindahan dan kebudayaan daerah Ambon, agar memiliki moral dan pengetahuan tentang keindahan dan budaya bangsa yang baik

Noise sensitivity of 89Zr-Immuno-PET radiomics based on count-reduced clinical images

PURPOSE: Low photon count in (89)Zr-Immuno-PET results in images with a low signal-to-noise ratio (SNR). Since PET radiomics are sensitive to noise, this study focuses on the impact of noise on radiomic features from (89)Zr-Immuno-PET clinical images. We hypothesise that (89)Zr-Immuno-PET derived radiomic features have: (1) noise-induced variability affecting their precision and (2) noise-induced bias affecting their accuracy. This study aims to identify those features that are not or only minimally affected by noise in terms of precision and accuracy. METHODS: Count-split (89)Zr-Immuno-PET patient scans from previous studies with three different (89)Zr-labelled monoclonal antibodies were used to extract radiomic features at 50% (S50p) and 25% (S25p) of their original counts. Tumour lesions were manually delineated on the original full-count (89)Zr-Immuno-PET scans. Noise-induced variability and bias were assessed using intraclass correlation coefficient (ICC) and similarity distance metric (SDM), respectively. Based on the ICC and SDM values, the radiomic features were categorised as having poor [0, 0.5), moderate [0.5, 0.75), good [0.75, 0.9), or excellent [0.9, 1] precision and accuracy. The number of features classified into these categories was compared between the S50p and S25p images using Fisher’s exact test. All p values < 0.01 were considered statistically significant. RESULTS: For S50p, a total of 92% and 90% features were classified as having good or excellent ICC and SDM respectively, while for S25p, these decreased to 81% and 31%. In total, 148 features (31%) showed robustness to noise with good or moderate ICC and SDM in both S50p and S25p. The number of features classified into the four ICC and SDM categories between S50p and S25p was significantly different statistically. CONCLUSION: Several radiomic features derived from low SNR (89)Zr-Immuno-PET images exhibit noise-induced variability and/or bias. However, 196 features (43%) that show minimal noise-induced variability and bias in S50p images have been identified. These features are less affected by noise and are, therefore, suitable candidates to be further studied as prognostic and predictive quantitative biomarkers in (89)Zr-Immuno-PET studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40658-022-00444-4

Baseline radiomics features and MYC rearrangement status predict progression in aggressive B-cell lymphoma

We investigated whether the outcome prediction of patients with aggressive B-cell lymphoma can be improved by combining clinical, molecular genotype, and radiomics features. MYC, BCL2, and BCL6 rearrangements were assessed using fluorescence in situ hybridization. Seventeen radiomics features were extracted from the baseline positron emission tomography–computed tomography of 323 patients, which included maximum standardized uptake value (SUV(max)), SUV(peak), SUV(mean), metabolic tumor volume (MTV), total lesion glycolysis, and 12 dissemination features pertaining to distance, differences in uptake and volume between lesions, respectively. Logistic regression with backward feature selection was used to predict progression after 2 years. The predictive value of (1) International Prognostic Index (IPI); (2) IPI plus MYC; (3) IPI, MYC, and MTV; (4) radiomics; and (5) MYC plus radiomics models were tested using the cross-validated area under the curve (CV-AUC) and positive predictive values (PPVs). IPI yielded a CV-AUC of 0.65 ± 0.07 with a PPV of 29.6%. The IPI plus MYC model yielded a CV-AUC of 0.68 ± 0.08. IPI, MYC, and MTV yielded a CV-AUC of 0.74 ± 0.08. The highest model performance of the radiomics model was observed for MTV combined with the maximum distance between the largest lesion and another lesion, the maximum difference in SUV(peak) between 2 lesions, and the sum of distances between all lesions, yielding an improved CV-AUC of 0.77 ± 0.07. The same radiomics features were retained when adding MYC (CV-AUC, 0.77 ± 0.07). PPV was highest for the MYC plus radiomics model (50.0%) and increased by 20% compared with the IPI (29.6%). Adding radiomics features improved model performance and PPV and can, therefore, aid in identifying poor prognosis patients

An artificial intelligence method using FDG PET to predict treatment outcome in diffuse large B cell lymphoma patients

Convolutional neural networks (CNNs) may improve response prediction in diffuse large B-cell lymphoma (DLBCL). The aim of this study was to investigate the feasibility of a CNN using maximum intensity projection (MIP) images from 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET) baseline scans to predict the probability of time-to-progression (TTP) within 2&nbsp;years and compare it with the International Prognostic Index (IPI), i.e. a clinically used score. 296 DLBCL 18F-FDG PET/CT baseline scans collected from a prospective clinical trial (HOVON-84) were analysed. Cross-validation was performed using coronal and sagittal MIPs. An external dataset (340 DLBCL patients) was used to validate the model. Association between the probabilities, metabolic tumour volume and Dmaxbulk was assessed. Probabilities for PET scans with synthetically removed tumors were also assessed. The CNN provided a 2-year TTP prediction with an&nbsp;area under the curve (AUC) of 0.74, outperforming the IPI-based model (AUC = 0.68). Furthermore, high probabilities (&gt; 0.6) of the original MIPs were considerably decreased after removing the tumours (&lt; 0.4, generally). These findings suggest that MIP-based CNNs are able to predict treatment outcome in DLBCL

Analisa penurunan biaya kualitas di PT. X

PT X adalah sebuah perusahaan garmen di Bandung. Saat ini PT X belum mengetahui mengenai konsep biaya kualitas serta pengaruhnya terhadap biaya produksi secara keseluruhan. Analisis biaya kualitas yang digunakan adalah analisis dengan metode PAF karena PT X adalah perusahaan manufaktur. Dari laporan biaya kualitas yang telah disusun, didapati kondisi bahwa PT X kurang memperhatikan tindakan pencegahan yang ditunjukkan oleh adanya prevention cost yang nilainya kecil. Usulan perbaikan diberikan untuk menurunkan failure cost yang jumlahnya sangat besar

Mal bioklimatik di Surabaya Barat

Perencanaan Mal Bioklimatik di Surabaya Barat ini pada dasarnya memakai konsep prinsip-prinsip bioklimatik dan untuk memberi nilai lebih pada mal tersebut juga untuk membedakan mal ini dari mal-mal yang lain maka diberi sebuah tema yaitu "The Garden MalF dimana unsur taman pada mal ini didesain sedemikian rupa sehingga dapat menimbulkan kenyamanan pasif bagi pengguna mal. Selain berdasarkan prinsip-prinsip bioklimatik dan tema "The Garden Malf desain mal bioklimatik ini juga memperhatikan unsur-unsur yang berkaitan dengan proses perancangan yaitu data eksisting tapak, analisa tapak, analisa urban, pendaerahan (zoning), sistem struktur, fasilitas bangunan, dan sistem-sistem utilitas

Pengembangan Aplikasi Dokumentasi Hardware Komputer pada PT Bank Victoria International TBK

Laporan kerja magang ini menjelaskan tentang pengembangan aplikasi berbasis web untuk dokumentasi hardware komputer yang merupakan proyek internal dari PT Bank Victoria International Tbk. Aplikasi dokumentasi hardware ini merupakan sebuah aplikasi yang bertujuan untuk memudahkan dalam melakukan pendataan seluruh tipe dan jenis hardware yang terdapat pada komputer-komputer milik Bank Victoria. Pengembangan dilakukan menggunakan Adobe Dreamweaver CS4 dengan bahasa pemrograman HTML, PHP, Javascript, dan CSS. Adapun database yang digunakan adalah MySQL dengan XAMPP sebagai web server package