bluuebunny/crossref_metadata_2025_split huggingface dataset:
Efektivitas Model Caring Islami “Praktis” dalam meningkatkan Pengetahuan Perawat
Authors: Yousriatin Fajar , Priyatnanto Hendra , Jamil Nurul , Florensa Florensa , Sari Lintang 
Published: September 2024

ABSTRACT Caring is an attitude that a nurse must have. In Islam, caring is carried out based on Alquran and Sunnah is Islamic Caring as a form of intellectually competent professional behavior from a nurse in providing nursing care to patients, families, and the community with full attention, care, friendliness, empathy, politeness, using communication. therapeutic, and always responsive and alert to provide the best service. This research aims to determine the effectiveness of the "PRACTIS" Islamic caring model in increasing nurses' knowledge about Islamic caring. The design of this research is pre-experiment research with one group pretest and posttest without a control group. The study results showed that knowledge, before the intervention was given, was mostly in the poor category (52.9%), then after being given the intervention it increased to the good category (79.41%). The PRACTIS Islamic caring model is one of the models developed to improve nurses' knowledge about Islamic caring. With good caring behavior, it is hoped that it will be one of the components of increasing patient recovery rates. Key words: Islamic Caring, Nurse, PRAKTIS ABSTRAK Kepedulian (caring) merupakan sikap yang harus dimiliki oleh seorang perawat. Dalam islam, kepedulian yang dilakukan dengan landasan alquran dan sunnah merupakan Caring Islami sebagai bentuk perilaku profesional yang kompeten secara intelektual dari seorang perawat dalam memberikan asuhan keperawatan kepada pasien, keluarga, dan masyarakat dengan penuh perhatian, peduli, ramah, empati, sopan, menggunakan komunikasi terapeutik, serta selalu tanggap dan sigap dalam rangka memberikan pelayanan yang terbaik. Penelitian ini bertujuan untuk mengetahuai efektivitas model caring islami “PRAKTIS” dalam meningkatkan pengetahuan perawat tentang caring islami. Desain penelitian ini merupakan penelitian pre-eksperiment dengan one grup pretest posttest without control group. Hasil penelitian dimana pengetahuan sebelum diberikan intervensi sebagian besar pada kategori kurang (52,9%), kemudian setelah diberikan intervensi meningkat menjadi kategori baik (79.41%). Model caring islami PRAKTIS salah satu model yang dikembangkan untuk meningkatkan pengetahuan perawat tentang caring islami. Dengan perilaku caring yang baik, diharapkan menjadi salah satu komponen meningkatnya angka kesembuhan pasien. Kata kunci: Caring Islami, Perawat, PRAKTIS
Pioneering Prostate Cancer Diagnosis: Evaluating AI Against Traditional Methods - A Systematic Literature Review
Authors: Virawan Zaki Farhan , Naufal Achmad 
Published: September 2024

ABSTRACT Prostate cancer is one of the most common forms of men's cancer in the world and the understanding of its epidemiology is crucial to effective prevention, early detection and management strategies. This systematic review highlights the potential of artificial intelligence-based diagnostic methods to revolutionize the early diagnosis of prostate cancer. A comprehensive literature search was carried out using databases such as PubMed, Google Scholar and Scopus. After removing duplicates, titles and abstracts were examined in 279 studies and the following full texts were examined in 128 studies. We have ten studies to review in total. Therefore, we chose to review data for all 10 identified studies that applied AI techniques to detect ca prostate. The Paige Prostate Alpha AI system significantly enhances pathologists' diagnostic capabilities, leading to more accurate and effective prostate cancer detection. These limitations indicate that further research is required to address these issues and validate the results in a more diverse and controlled environment. AI-based diagnostic methods have shown significant promise in enhancing the early detection of prostate cancer. As technology continues to advance, integrating AI with traditional diagnostic approaches could lead to more effective, efficient, and accurate prostate cancer screening and diagnosis. Future studies should focus on large-scale clinical trials and real-world applications to validate these findings and facilitate the adoption of AI in clinical settings. Keywords: Prostate Cancer, Artificial Intelligent, Deep Machine Learning, MRI
أطر معالجة الموقع الإلكتروني لصحيفة الشرق الأوسط الدولية لكارثة إعصار دانيال بمدينة درنة بدولة ليبيا
Authors: أطبيقة عبدالله محمد , الاجم محمد عبدالله , الشيباني صلاح محمد 
Published: September 2024

تكمن مشكلة البحث في التساؤل الرئيس: ما أُطر معالجة الموقع الإلكتروني لصحيفة الشرق الأوسط الدولية لكارثة إعصار دانيال بمدينة درنة بدولة ليبيا؟ ينتمي هذا البحث الى البحوث الوصفية التحليلية بطريقة تحليل المحتوى بتطبيقها على عينة متاحة للأخبار بالموقع الإلكتروني لصحيفة الشرق الأوسط بشأن كارثة إعصار دانيال بمدينة درنة بدولة ليبيا، وتمثلت مدة التحليل بدءًا من 2023/9/10 إلى 2023/11/30، إذ بلغ عدد المواد الخبرية (142) خبرًا، اعتمد الباحثون على استمارة تحليل المضمون كأداة رئيسة للبحث، وتوصل البحث إلى نتائج عدّة منها: إن مدينة درنة هي أكثر المناطق المتضررة من إعصار دانيال بدولة ليبيا وفقاً للموقع الإلكتروني لصحيفة الشرق الأوسط بنسبة (39.4%)، وإنَّ الصحفيين هم من أكثر المصادر التي اعتمد عليها الموقع الإلكتروني لصحيفة الشرق الأوسط في تغطيته لكارثة إعصار دانيال بمدينة درنة بدولة ليبيا بنسبة (40.9%)، وإنَّ القيادة العامة للجيش الليبي هي أكثر فئات القوى الفاعلة ضمن المواد الخبرية المنشورة بالموقع الإلكتروني لصحيفة الشرق الأوسط في تغطيته لكارثة إعصار دانيال بمدينة درنة بدولة ليبيا بنسبة (24.5%).
Intensive Rehabilitation is better when it is combined with Tizanidine in Spastic Cerebral Palsy- A Randomized Clinical Trial
Authors: Amin Md Ruhul , Banik Amitav , Rahman Mohammad Anisur , Rahman Sohely 
Published: September 2024

Background: To find out the combined efficacy of Tizanidine and intensive rehabilitation in the treatment of spastic cerebral palsy.
Methods: This randomized clinical trial was conducted over 70 patients in Sir Salimullah Medical College Hospital from January 2022 to December 2022.The patient satisfying the inclusion and exclusion criteria was randomly enrolled into two groups; Group- A (Case) included 35 patients received only intensive rehabilitation and Group- B (Control). included 35 patients who received Tizanidine (2mg) orally at a dose of 1 mg given at bed time under 10 years and 2 mg 10 years or more, then after 1 week maintenance dose was 0.3 mg/kg/day three times daily in combination with intensive rehabilitation 1 hour daily five times a week for 24 weeks. All patients were followed up at 4 weeks interval and were evaluated for a total of 24 weeks. Combination of Tizanidine and intensive rehabilitation has superior efficacy in reducing tone in spastic cerebral palsy over only rehabilitation measured by using Modified ashworth scale (p<0.001).
Results: Combination of Tizanidine and intensive rehabilitation is improved in physician rating scale crouch (p<0.0001) and foot contact, (p<0.0001) and also improvement in gross motor function (p<0.01).
Conclusion: Combination of Tizanidine and intensive rehabilitation group has superior efficacy than only rehabilitation group for reduction of generalized spasticity regarding muscle tone, range of motion of the joint and improvement of gait in cerebral palsy patients.
Bangladesh J Medicine 2023; 34(2): 98-104
IMPLEMENTATION OF TOPSIS AND SAW METHODS FOR THE SELECTION OF THE BEST HOTEL
Authors: Kristanto Samuel Widi , Siswanti Sri , Setiyowati Setiyowati , Kusumaningrum Andriani 
Published: September 2024

Abstract: The city of Surakarta is one of the cities that is busy with local and foreign tourists because there are various kinds of interesting cultural tourism. The large number of hotels with many services and facilities makes tourists confused in choosing a hotel, so prospective hotel guests need a long time to choose the best hotel according to their desired criteria. The aim of this research is to create a tool for prospective hotel guests in making decisions on hotel selection recommendations using the TOPSIS and SAW methods. This research uses 8 hotel data points in Laweyan District, Surakarta, and hotel data obtained from the Tourism Office. The results of the McCall Test with 5 indicators, namely accuracy, reliability, efficiency, integrity, and usability, average 86%, so this system is categorized as very good. Keywords: hotel selection; TOPSIS; SAW; decision supporter system Abstrak: Kota Surakarta menjadi salah satu kota yang ramai dikunjungi wisatawan lokal maupun mancanegara karena terdapat berbagai macam wisata budaya yang menarik. Banyaknya hotel dengan pelayanan dan fasilitas yang banyak membuat wisatawan kebingungan dalam memilih hotel, sehingga calon tamu hotel memerlukan waktu yang lama untuk memilih hotel terbaik sesuai kriteria yang diinginkan. Tujuan dari penelitian ini adalah membuat suatu alat bantu bagi calon tamu hotel dalam pengambilan keputusan rekomendasi pemilihan hotel menggunakan metode TOPSIS dan SAW. Penelitian ini menggunakan 10 titik data hotel yang ada di Kecamatan Laweyan Surakarta dan data hotel yang diperoleh dari Dinas Pariwisata. Hasil Uji McCall dengan 5 indikator yaitu akurasi, reliabilitas, efisiensi, integritas, dan kegunaan rata-rata 86%, maka sistem ini dikategorikan sangat baik. Kata kunci: pemilihan hotel; TOPSIS; SAW; sistem penunjang keputusan
APPLICATION OF DATA MINING IN SELECTING SUPERIOR PRODUCTS USING THE K-MEANS AND K-MEDOIDS ALGORITHM METHODS
Authors: Munandar Musthafa Haris 
Published: September 2024

Abstract: As a supermarket, we are committed to always improving everything, including selecting the greatest goods. To evaluate which items are more superior or popular and which are less popular, you will want a sizable amount of information sources. To select products and identify those that belong in the superior product cluster, researchers employed the clustering method. The clustering strategy uses two forms of cluster analysis, k-means and k-medoids, which have related techniques. The research results show that the k-means algorithm's Davies Bouldin value is -0.430, whereas the k-medoids algorithm's Davies Bouldin value is -1.392. This suggests that the Davies Bouldin value of the k-medoids approach is the lowest, showing that the grouping findings of the k-means method are a better method to apply to the issue of choosing better products. Keywords : k-means; k-medoids; clustering; algorithm; data mining Abstract: Sebagai toko sembako, toko yuli berkomitmen untuk selalu meningkatkan segalanya, termasuk memilih barang terbaik. Untuk mengevaluasi item mana yang lebih unggul atau populer dan mana yang kurang populer, Anda memerlukan sumber informasi yang cukup banyak. Untuk memilih produk dan mengidentifikasi produk yang termasuk dalam cluster produk unggulan, peneliti menggunakan metode clustering. Strategi clustering menggunakan dua bentuk analisis cluster, k-means dan k-medoids, yang memiliki teknik terkait. Hasil penelitian menunjukkan nilai Davies Bouldin pada algoritma k-means sebesar -0,430, sedangkan nilai Davies Bouldin pada algoritma k-medoids sebesar -1,392. Hal ini menunjukkan bahwa nilai Davies Bouldin pada pendekatan k-medoids paling rendah, menunjukkan bahwa temuan pengelompokan metode k-means merupakan metode yang lebih baik untuk diterapkan pada permasalahan pemilihan produk yang lebih baik. Keywords: k-means; k-medoids; clustering; algoritma; data mining
SI BITA - DESIGN OF A THESIS GUIDANCE INFORMATION SYSTEM USING THE SCRUM METHOD FOR OPTIMAL EFFICIENCY AND RESPONSIVENESS
Authors: Pernando Yonky , Syafrinal Ilwan , KH Musliadi 
Published: September 2024

Abstract: This research aims to design a system that can assist the final assignment development process by focusing on resolving frequently encountered obstacles, such as clarity of research title status, guidance process, and research schedule. The development method used is the Scrum method approach with a small scale and team. During the development process, an analysis of each sprint is carried out from preparation to the development process. The results of development using the Scrum method show that each feature was completed within 8 hours per day, with each sprint completed in a week. The total time required to complete all sprints designed on the BITA Information System is 128 hours. The application of the Scrum method provides results that enable rapid identification of changes during the development process, as well as optimizing the process of submitting and validating titles, determining supervisors, evaluating guidance, and scheduling exams. Thus, this research provides an effective solution in increasing the efficiency and effectiveness of the final assignment coaching process for students in completing their studies. Keywords: information system; optimal efficiency; scrum method; SI BITA; thesis guidance. Abstrak: Penelitian ini bertujuan untuk merancang sistem yang dapat membantu proses pembinaan tugas akhir dengan fokus pada penyelesaian kendala yang sering dihadapi, seperti kejelasan status judul penelitian, proses bimbingan, dan jadwal penelitian. Metode pengembangan yang digunakan adalah pendekatan metode Scrum dengan skala dan tim kecil. Selama proses pengembangan, dilakukan analisis terhadap setiap sprint yang dihasilkan dari persiapan hingga proses pengembangan. Hasil pengembangan menggunakan metode Scrum menunjukkan bahwa setiap fitur diselesaikan dalam jangka waktu 8 jam per hari, dengan setiap sprint selesai dalam seminggu. Total waktu yang dibutuhkan untuk menyelesaikan semua sprint yang dirancang pada Sistem Informasi BITA adalah 128 jam. Penerapan metode Scrum memberikan hasil yang memungkinkan identifikasi cepat terhadap perubahan selama proses pengembangan, serta mengoptimalkan proses pengajuan dan validasi judul, penentuan pembimbing, evaluasi bimbingan, dan penjadwalan ujian. Dengan demikian, penelitian ini menyediakan solusi yang efektif dalam meningkatkan efisiensi dan efektivitas proses pembinaan tugas akhir bagi mahasiswa dalam menyelesaikan studi mereka. Kata kunci: sistem informasi; efisiensi optimal; metode scrum; SI BITA; bimbingan skripsi
COMPARING THE WMA AND SES METHODS FOR FORECASTING STOCK PRODUCT OF MS GLOW PUTRI
Authors: Nurhamidah Nurhamidah , Sembiring Muhammad Ardiansyah , Lubis Iin Almeina 
Published: September 2024

Abstract: Ms Glow Putri Shop is a business that operates in the beauty sector, selling beauty products, namely skincare and bodycare, which are useful for maintaining healthy body and facial skin. However, Ms Glow Putri currently often experiences problems, namely tight competition and inventory management that is less effective in terms of sales numbers. Every month reaching ±1300 products, Ms Glow Putri also often experiences shortages and build-ups in skincare and bodycare stocks. This can reduce customer confidence so that Ms Giow Putri often experiences losses in the form of finance and other things, so this method is needed to predict some skincare and other stock supplies. bodycare provided in the following month. This method uses the Weighted Moving Average and Single Exponentiation Smoothing methods to predict supplies of skincare and bodycare stocks. The results of research on Ms GIow daughter using the Weight Moving Average Method with a weight of 5 with a MAPE of 1.08% and the SingIe Exponentiation Smooting Method with an Alpha of 0.1, namely 0.84%, then the comparison between the two methods can be stated that the SES method is the best method good, because it has the lowest error. Keywords: forecasting; ms glow putri; ses and wma Abstrak: Toko Ms Glow Putri adalah usaha yang bergerak di bidang kecantikan, menjual produk kecantikan yaitu skincare dan bodycare berguna untuk menjaga agar kesehatan kulit tubuh dan wajah tetap terjaga. Namun Ms Glow Putri saat ini sering kali mengalami permasalahan yaitu persaingan yang ketat dan manajemen persediaan yang kurang efektif dengan jumlah penjualanan. Setiap bulan mencapai ±1300 produk maka Ms Glow Putri juga sering mengalami kekurangan dan penumpukan pada stok skincare dan bodycare ini dapat mengurangi kepercayaan pelanggan sehingga Ms Glow Putri sering mengalami kerugian berupa finance dan lainnya maka perlu metode ini untuk memprediksi beberapa persediaan stok skincare dan bodycare yang disediakan pada priode di buIan berikutnya. Metode ini menggunakan metode Weighted Moving Averege dan Single Exponential Smoothing untuk memprediksi persediaan pada stok skincare maupun bodycare. HasiI penelitian pada Ms GIow Putri dengan mengggunakan Metode Weight Moving Averege dengan bobot 5 dengan MAPE 1,08% dan Metode Single Exponential Smooting dengan Alpha 0,1 yaitu 0,84% maka perbandingan antara dua metode tersebut dapat dinyatakan bahwa metode SES adaIah metode paling baik karena memiliki error terendah. Kata kunci: ms glow putri; peramalan; ses dan wma
The Impact of Antitumor Treatment on Cancer Patients with COVID-19: A Systematic Review and Meta-Analysis
Authors: Ananto Farizky Jati , Purwanto Heru , Ayuda Caesar , Wibiseno Dono Marsetio , Putra Probo Yudha Pratama , Wardhana Burhan Mahendra Kusuma , Putra Doddy Setya Adi 
Published: September 2024

Background: Cancer is a chronic disease that can cause various complications, decrease the immune system, reduce quality of life, and even lead to death. In addition, the COVID-19 pandemic in various countries has had a significant adverse impact on patients. This study analyzed the impact of various antitumor treatments on cancer patients with COVID-19. Methods: This meta-analysis was conducted according to the PRISMA – P pathway. Source searches were conducted in PubMed, Cochrane Library, Research Gate, and Science Direct in cancer patients with COVID-19 receiving various types of antitumor treatment. Analysis was performed using RevMan V.5.3 software with the outcome of mortality rate and severe COVID-19. Results: Twenty-five observational studies met the inclusion criteria with a total of 21,940 patients. There was no significant difference in mortality rate (OR 1.08, 95% CI 0.99 – 1.18, p = 0.09), but there was a significant difference in severe COVID-19 (OR 1.19, 95% CI 1.02 – 1.39, p = 0.02). Immunotherapy provided the most significant worsening of both mortality rate (OR 1.39, 95% CI 1.17 – 1.64, p = 0.0001) and severe COVID-19 (OR 1.82, 95% CI 1.23 – 2.71, p = 0.003). There were no significant differences in other antitumor treatments. Conclusions: Antitumor treatment does not have a significant impact on mortality rate, but has a significant impact on worsening the degree of COVID-19. Among all the antitumor therapies that provide the highest potential for worsening is immunotherapy.
Resilience in Healthcare: A Hospital-based Investigation of Breast Cancer Diagnostics Amid the Pandemic in Indonesia
Authors: Choridah Lina , Anwar Sumadi Lukman , Heriyanto Didik Setyo , Handoko Alberta Vania , Sumoro William , Icanervilia Ajeng Viska , Rengganis Anggraeni Ayu 
Published: September 2024

Background: Widespread disruptions in healthcare services have occurred due to ongoing challenges during the pandemic. The tremendous impacts have struck countries with limited resources, greater distances of geographical access to healthcare services, and a shortage of healthcare personnel. Long delay of diagnosis and disruption in patient care affects the long-term prognosis of breast cancer. This study was conducted to investigate the effects of the COVID-19 pandemic and government-mandated social restrictions on the provision of diagnostic services for breast cancer patients in a tertiary referral hospital. The study aimed to explore how travel restrictions and patients' apprehension about COVID-19 exposure have contributed to notable declines in diagnostic and treatment procedures for breast cancer within this healthcare setting. Methods: This study was retrospective design and used a hospital registry to collect information on demographics, imaging, and pathology from January 2018 to September 2021. Breast ultrasound (US) and mammography data were collected from the Picture Archiving and Communication System (PACS), while pathology data were collected from e-medical records. The descriptive statistics of the annual total volume of imaging and pathological examinations were interpreted and statistics were only calculated for diagnostics mammography. Results: Between 2018 and 2021, the volume of monthly breast sonograms drastically decreased by 65% in 2020 and 2021 during the pandemic, while mammography significantly reduced by more than 40% from the 2019 levels. Breast US and mammography procedures were significantly lower during the first and second waves of the pandemic in March until May 2020 and June until September 2021, respectively. Although the proportion of breast ultrasound-guided fine-needle aspiration biopsy (FNAB) increased year by year, the number of FNAB for primary breast lesions significantly decreased by 84% in 2020 and 2021. Conclusions: We observed significant decreases in diagnostic procedures for breast cancer. Reconfiguration of breast cancer care scheduling is required to accommodate the potential for increased hospital visits after the travel restrictions.
The Correlation of Neutrophil-Lymphocyte Ratio (NLR) and the Response Evaluation Criteria in Solid Tumors (RECIST) in Non-small Cell Lung Cancer (NSCLC) Patient
Authors: Andayani Novita , Arliny Yunita 
Published: September 2024

Background: The biological marker Neutrophil-Lymphocyte Ratio (NLR) is still being studied for its effectiveness as a predictor of prognosis and treatment response to cancer. This study aims to assess the effectiveness of the NLR as a prognostic biomarker in Non-small Cell Lung Cancer (NSCLC) patients. Methods: This observational study with a cross-sectional design intends to determine the effect of NLR on the response to the treatment of the patients as measured by Response Evaluation Criteria in Solid Tumors (RECIST). The samples collected were advanced-stage NSCLC patients who underwent chemotherapy from January 2021 to December 2022 to assess the prognosis and its relationship with NLR. The area Under the Curve Receiver Operating Characteristic (AUC ROC) curve was used to see the sensitivity, specificity, and cut-off point. Results: Sixty-seven samples met the criteria of the samples’ study. The best NLR cut-off point was 4.335 with a sensitivity of 86.7% and a specificity of 55.5%. The AUC value was 0.701 with a significance of 0.019. NLR values above the cut-off point were more frequently found in patients with progressive disease (29 samples; 43.3%). Conclusions: This study showed that there was a relationship between NLR and RECIST in NSCLC patients. NLR was quite effective as a prognostic biomarker of NSCLC patients who underwent chemotherapy.