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Analysis of Blockchain Technology in Patient Data Management System : Security, Privacy, and Efficiency in the Digital Healthcare Context
Get PDFIn the rapidly evolving landscape of digital healthcare, ensuring secure, confidential, and efficient patient data management has become paramount. Blockchain technology has emerged as a promising solution to address these challenges. This study aims to analyze the implementation of blockchain technology within patient data management systems, with a specific focus on security, privacy, and efficiency in the context of digital healthcare. Within this framework, a notable gap arises between technological innovation trends and their practical application within the healthcare sector. This research expands our understanding of how blockchain can be effectively harnessed to tackle security and patient data privacy challenges within the increasingly interconnected digital healthcare environment. Employing a comprehensive methodology that encompasses qualitative and quantitative approaches, including surveys, literature analysis, and case studies, this study delves into how blockchain technology can provide an added layer of security to patient data, enhance privacy through improved access control, and streamline the sharing of health information. The novelty of this research lies in its holistic approach to identifying gaps in blockchain technology application methods within patient data management, while also addressing practical challenges inherent to the digital healthcare context. The anticipated outcomes of this analysis will provide valuable insights for decision-makers aiming to implement blockchain technology to fortify data security, safeguard privacy, and enhance efficiency within patient data management systems. In conclusion, this research contributes to a nuanced comprehension of the potential of blockchain technology to augment security, privacy, and efficiency in patient data management. By shedding light on innovative methods like blockchain integration, this study offers valuable guidance for effectively navigating the dynamic landscape of digital healthcare
Diagnosis Model in Smear-Negative Pulmonary Tuberculosis Using Faster R-CNN
Get PDFBackground: One of the most important human organs in the respiratory system is the lung. The main function of the lung is the respiration process, which is responsible for pumping air into the body. The health of the lung organs is very important, because if this organ is disturbed it will affect the health of the rest of the body. One of the diseases that attacks the lungs is Tuberculosis (TB). TB disease can be cured, but if it is delayed in getting treatment it can increase the risk of death. Method: This research developed a Smear Negative Pulmonary Tuberculosis diagnosis model using the Deep Learning method using the Faster R-CNN algorithm. The data used in this research are x-ray images of the lungs at the Jakarta Repository Center - Indonesian Tuberculosis Eradication Center (JRC-PPTI) clinic, totaling 220 datasets. At the preprocessing stage, the images used for training and testing were used with a size of 1280 x 1280 to see the effect on the accuracy of the prediction results of the Faster RCNN model. The test results are in the form of accuracy values that reflect the performance of the Faster RCNN model in classifying normal (without TB) and abnormal (with TB) test data. Results: The research implementation carried out the training process and testing process for 75% of training images, and 25% for testing images. Training images are labeled using the Img label. In the testing stage of the faster RCNN model, the accuracy value was 62.04%, precision was 40.00%, recall was 64.52% and F1-score was 49.38%. Conclusion: From the results of this research it is concluded that the Faster RCNN model test results using the ResNet 50 model have an accuracy value of 62.04%, Precision of 40.00%, Recall of 64.52% and F1-score of 49.38%
Pengembangan Aplikasi Reservasi Berbasis Website Dengan ASP.NET Pada PT. Kalbe Farma Tbk (International Division)
Get PDFTeknologi merupakan salah satu faktor penting yang dapat meningkatkan kinerja perusahaan. PT Kalbe Farma Tbk (International Division) adalah salah satu perusahaan yang telah memanfaatkan teknologi untuk kegiatan reservasi di perusahaan. Namun, aplikasi reservasi yang digunakan saat ini masih memiliki beberapa keterbatasan dan kekurangan, seperti fitur yang terbatas, akses yang terbatas, dan proses yang manual. Oleh karena itu, penulis ingin mengembangkan sebuah aplikasi reservasi berbasis website dengan ASP.NET yang dapat memberikan fitur-fitur baru dan memudahkan pengguna dalam melakukan reservasi ruangan, mobil, dan pengajuan surat. Tujuan dari penelitian ini adalah untuk membuat sebuah sistem reservasi yang lebih efektif, efisien, dan produktif bagi PT Kalbe Farma Tbk (International Division)
Analisis Sentimen Aplikasi ChatGPT Mobile Menggunakan Agoritma Naïve Bayes
Get PDFAplikasi kecerdasan buatan semakin banyak digunakan, termasuk aplikasi ChatGPT. Aplikasi ini merupakan sebuah model bahasa generatif yang dikembangkan oleh OpenAI. Tujuan utama penelitian adalah untuk memahami bagaimana pengguna merespon aplikasi ini melalui ulasan di Google Play Store. Secara khusus, penelitian ini mencermati kata-kata yang sering muncul dalam ulasan positif dan negatif serta memberikan penilaian terhadap kenyamanan penggunaan, responsivitas antarmuka, dan manfaat yang diperoleh dari interaksi dengan model Bahasa tersebut. Digunakan metode pendekatan KDD dan algoritma Naïve Bayes untuk melangsungkan proses penelitian.berdasarkan 2.238 ulasan di Google Play Store, ditemukan mayoritas ulasan (87%) adalah positif. Pengguna menyoroti kenyamanan penggunaan, responsivitas antarmuka, dan manfaat yang diperoleh dari interaksi dengan model Bahasa. Namun, ada juga ulasan netral (5%) yang memberikan tanggapan baik dan buruk terhadap aplikasi. Selain itu, terdapat ulasan negatif (8%) yang menyoroti ketidaktepatan jawaban model. Evaluasi algoritma klasifikasi Naïve Bayes menunjukkan performa yang sangat baik. Pada skenario 80:20, diperoleh akurasi sebesar 94%, presisi 94%, recall 99%, dan F1-Score 97%. Temuan penelitian ini menunjukkan bahwa ChatGPT memiliki potensi yang besar untuk menjadi aplikasi kecerdasan buatan yang bermanfaat. Namun, pengembang aplikasi perlu memfokuskan peningkatan akurasi jawaban model untuk mengatasi kritik dari pengguna
Application of Artificial Neural Network Algorithm with Principal Component Analysis for Diagnosis of Breast Cancer Tumors: Penerapan Algoritma Jaringan Syaraf Tiruan Dengan Principal Component Analysis Untuk Diagnosis Tumor Kanker Payudara
No full textCancer is a health disorder where abnormal cells proliferate uncontrollably and is the second leading cause of death worldwide. Breast cancer, in particular, is prevalent among women in Indonesia. This study aims to diagnose breast cancer, identifying whether it is malignant or benign, using Artificial Neural Network (ANN) algorithms to enhance the accuracy of tumor diagnosis. The fundamental principle is to develop a neural network capable of processing information efficiently without relying on Python packages such as scikit-learn. The ANN operates through forward propagation and backward propagation to optimally predict outcomes and update weights. The dataset used is from the UCI Machine Learning Repository, consisting of 569 samples and 30 features. This dataset is divided into a training set (80%) and a cross-validation set (20%). The ANN model comprises one input layer, two hidden layers, and one output layer, utilizing tanh activation functions for the hidden layers and a sigmoid activation function for the output layer. Training results indicated an accuracy of 95.6% on the training set and 93.2% on the cross-validation set. This demonstrates that the model performs well in detecting breast cancer, with a low error rate and strong generalization capability. This study successfully developed an effective and reliable ANN model for breast cancer detection with high accuracy, supporting clinical breast cancer diagnosis
Analysis of House Price Using K-Means and Naïve Bayes Methods: Analisis Harga Rumah Dengan Metode K-Means Dan Naïve Bayes
No full textThis study aims to compare the performance of the K-Means and Naïve Bayes algorithms in analyzing house prices. The dataset used is a house price dataset obtained from observational results. The study was conducted for approximately 2 months, focusing on the implementation of the K-Means and Naïve Bayes algorithms. The data was processed and analyzed using Orange software, and the results were presented in tables and graphs. The analysis results showed that the K-Means algorithm outperformed the Naïve Bayes algorithm with an accuracy value of 30% for the variable y distance to public facilities and 22% for the variable y land area and 82% with Naïve Bayes calculation. Therefore, it can be concluded that the K-Means method is a more effective method for analyzing house prices
Sistem Informasi Geografis Lokasi Dan Rute Objek Wisata Kabupaten Tapanuli Tengah Menggunakan Metode Dijkstra
Get PDFGeographic Information Systems (GIS) are systems that integrate geographic data with non-geographic data, allowing users to visualize, analyze and interpret spatial information more efficiently. This research aims to design and implement a Geographic Information System (GIS) that is effective and easy to use to map the location of tourist attractions and determine the shortest route to these destinations in Central Tapanuli Regency using the Dijkstra algorithm. This GIS allows tourists to visualize, analyze and access spatial information related to tourist locations and get recommendations for the best routes based on distance, travel time and road conditions. This system consists of an admin interface to manage tourist attraction data, nodes, and path graphs, as well as a user interface to view tourist lists, galleries, and search for nearby routes. The implementation of GIS and the Dijkstra algorithm is expected to improve the tourist experience, facilitate travel planning, and increase accessibility to tourist destinations in Central Tapanuli Regency, so that tourism potential in the area can be optimized and encourage regional economic growth
Penggunaan Selling Techniques Evaluation Grid Untuk Meningkatkan Pelayanan Konsumen dan Penjualan di UMKM
Get PDFPenelitian ini akan menganalisis penggunaan STEG oleh UMKM Indonesia dan dampaknya terhadap pelayanan konsumen dan kinerja penjualan. Meningkatkan layanan pelanggan dan penjualan sangatlah penting dalam era persaingan bisnis yang sangat kompetitif saat ini. Memberikan layanan pelanggan yang sangat baik dapat menghasilkan peningkatan penjualan, peningkatan reputasi, dan loyalitas pelanggan. Salah satu alat yang dapat membantu dalam hal ini adalah Selling Techniques Evaluation Grid (STEG), yaitu metode untuk mengevaluasi teknik penjualan dan meningkatkan kinerja penjualan. Metode penelitian yang digunakan adalah kualitatif deskriptif, dimana dimulai dengan penjelasan teknik wawancara , pencatatan wawancara pada narasumber terpilih, kemudian dilanjutkan dengan pembuatan tabel STEG deskriptif dan dilakukan skor penilaian, sampai tahap terakhir dengan visualisasi grafik. Penelitian ini dilakukan di pameran Brightspot dimana terdapat dua brand yang dianalisis yaitu Verso Jewellery dan Racoon and Babies, dimana hasil STEG menunjukkan Verso Jewellery lebih unggul dengan skor penilaian 18 ‘yes’ dibandingkan Racoon and Babies dengan skor penilaian 14 ‘yes’ dalam pelayanan konsumen dan kinerja penjualan dari akumulasi tahapan Greet and Questioning, tahapan Argue, tahapan Objections, tahapan Cross and Additional Sales serta tahapan Closing. Penelitian ini mengungkapkan bahwa penerapan Selling Techniques Evaluation Grid (STEG) dapat menjadi strategi yang sangat efektif untuk meningkatkan kepuasan pelanggan dan kinerja penjualan di UKM di Indonesi
Prototype Sistem Penjualan Berbasis Web pada KWT (Kelompok Wanita Tani) Gemas Implan
Get PDFKelompok Wanita Tani (KWT) Gemar Menanam Sayuran inovasi Menanam Padi dan Budidaya Ikan (GEMAS IMPLAN). Kwt Gemas Implan adalah sekelompok ibu-ibu yang sukses membantu masyarakat menjaga ketersediaan pangan mereka, ibu-ibu ini merupakan penduduk rt 04 rw 06 kelurahan Gandasari kecamatan Jatiwung kota Tangerang. Kwt ini berinovasi dengan menanam berbagai jenis makanan laut yang dapat dikonsumsi. Hasil panen kemudian dijual dengan harga rendah. Sistem pencatatan laporan di Kwt Gemas Implan yang sedang berjalan saat ini masih tidak efisien. Untuk persediaan stok sayur dan data penjualan masih menggunakan kertas yang ditulis dan dikumpulkan di sebuah buku, untuk media promosi yang kurang menarik perhatian pelanggan, Tujuan dari penelitian ini adalah mengembangkan sebuah sistem penjualan yang baru pada Kwt Gemas Implan yaitu aplikasi berbasis web dengan menggunakan metode prototyping dengan adanya sistem ini penulis berharap agar dapat membantu memecahkan masalah diatas.
Kata kunci: KWT, Kelurahan Gandasari, Web
Pengaruh Sistem Modernisasi, Pengetahuan Pajak Dan Kondisi Keuangan Terhadap Kepatuhan Pajak UMKM
Get PDFTaxes have an important role in the economy because they are the largest contributor to the state budget. One source of tax that contributes significantly to tax realisation is tax on the micro, small and medium enterprise (UMKM) sector. Significant regional economic growth provides an impetus for the development of micro, small and medium enterprises. The purpose of this study is to determine UMKM tax compliance and further improve its fulfilment of its tax obligations. The research method used in this research is a quantitative approach. The sampling technique in this study used a questionnaire consisting of 100 UMKM in Tangerang city that are still operating today. Data collection was carried out by distributing manual questionnaires by visiting one by one UMKM in Tangerang city. The data analysis technique used is descriptive analysis and multiple regression analysis using SPSS 29 software. Based on the results of the hypothesis, it can be concluded that the Modernisation System, tax knowledge, financial conditions have an effect on Tax Compliance in Tangerang City UMKM players