Latar Belakang: Penyakit ginjal kronis (Chronnic Kidney Disease) merupakan penyakit gagal ginjal dimana terdapat penurunan fungsi ginjal yang ditandai dengan penurunan glomerulus filtration rate (GFR).Terapi yang sering dilakukan oleh penderita CKD adalah dengan cara hemodialisis dan peritonealialisa. Tujuan :  memberikan gambaran penerapan intervensi dzikir pada pasien CKD dengan diagnosis keperawatan gangguan pola tidur di ruang Dahlia RSUD Wates. Metode: penelitian ini adalah penelitian studi kasus observasional yang mengeksplorasi masalah keperawatan terutama gangguan pola tidur. Teknik pengumpulan data yang digunakan berupa wawancara, dan observasi. Hasil:  Pengkajian Pada penapisan paliatif diperoleh skor 5 yaitu pasien tersebut perlu intervensi palliative. Dalam Edmonton Symptom Assessment System (ESAS) pasien mengalami tidak bisa tidur, pasien dengan depresi sedang. Didalam aktivitas fisik pada pasien terdapat skor karnofsky 50 % yaitu sering memerlukan bantuan, sering memerlukan perawatan medis. Dalam kebutuhan spiritualnya pasien CKD adalah 76 dimana merupakan spiritual sedang. Kesimpulan: pasien mengalami peningkatan kualitas tidur menggunakan Instrumen yang digunakan adalah Pittsburgh Sleep Quality Index (PSQI). setelah dilakukan intervensi dzikir yang ditandai dengan penurunan skor PSQI dari 17 menjadi 12 atau dari kategori berat menjadi kategori ringan kemudian pasien mampu tidur lebih cepat yang biasanya lebih dari jam 12 malam, setelah dilakukan intervensi dzikir pasien mampu tidur kurang dari jam 10 malam.

Predicting credit worthiness is an important step for banks to reduce the risk of bad credit. This research compares the performance of four classification algorithms, namely SVM, Naïve Bayes, Random Forest and Decision Tree using simulated datasets. The results obtained on the metrics of accuracy, precision, recall, F1 score, and AUC-ROC, show that Decision Tree has the best performance with 42.5% accuracy, 48.3% precision, 47.5% recall, 47.5% F1 score, and AUC 0.60, indicating its ability to is in differentiating credit worthiness. Random Forest achieved an accuracy of 37.5% and an AUC of 0.493, while Naïve Bayes had the lowest accuracy with an accuracy of 27.5% and an AUC of 0.425. SVM gives better results than Naïve Bayes but is still inferior to Decision Tree. This research recommends implementing a Decision Tree as the main model with optimization through hyperparameter tuning, adding relevant features, and handling data accounting. These results are expected to support banking decision making more effectively and efficiently.

This research aims to examine the influence of audit quality, debt default and financial distress on going concern audit opinions. The population in this research are Consumer Cyclicals sector companies listed on the Indonesia Stock Exchange in 2020 - 2023. The sampling technique used was the purposive sampling method. The population in this study was 78 companies with 312 observations. This research was measured using SPSS 23 and tests were carried out, namely descriptive statistical analysis, classic assumption tests, namely multicollinearity tests, binomial logistic regression tests (overall model fit, goodness of fit and coefficient of determination or R2), hypothesis tests (partial tests and simultaneous tests). The results of this research show that audit quality has a negative effect on going concern audit opinion, debt default has a positive effect on going concern audit opinion, financial distress has no effect on going concern audit opinion.

The results of the research show that the marketing of the batik industry is an effort to increase labor income in Danau Teluk District, Jambi City by looking at market needs, current trend needs both among students and also among workers so that consumers who come must be met according to their needs. Obstacles in increasing the income of batik workers in Danau Teluk District, Jambi City are caused by employee negligence in working because they do not comply with the instructions given, income according to work ability and difficulties in marketing.

The aim of this research is to find out what media can improve the thinking abilities of slow learner ABK students. The method used in this research design is a literature review study. Literature study is a form of research used to collect data sources related to a topic found in the field. Data collection for literature studies was carried out using the Google Scholar search tool. The screening results matched the required data, there were 7 national journal articles based on the articles found and analyzed. The results of this research are the discovery of media that are suitable and can support the success of slow learner ABK students in improving their thinking abilities, namely bussy box media, stamp game media, and puzzles.