BIOS: Jurnal Teknologi Informasi dan Rekayasa Komputer
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Pengembangan Media Pembelajaran Berbasis Google Sites pada Mata Pelajaran Teknologi Layanan Jaringan
No full textThe Government requires the classroom learning system to be replaced with learning at home through an online system. This research was conducted to develop learning media based on Google sites in the subject of network service technology. This research was conducted to see the feasibility of the developed Google sites-based learning media. The method used in this research is Research and Development with ADDIE development were Analysis, Design, Development, Implementation, and Evaluation. The development stage involved four validators as media experts and materials experts to assess the feasibility of media and materials. The implementation phase was limited to involving 34 students of class XII Computer Network Engineering. Collecting data using validation questionnaires, response questionnaires and interviews. Data analysis techniques are descriptive qualitative and quantitative. The results of this study are learning media products based on Google sites in the course of network service technology. One of the materials discussed is a firewall on a VoIP network. The results of the feasibility test show that the Google sites-based learning media is feasible to use. This is based on the validation of media experts who obtained an average result of 97,3% in the “strongly agree” category, material expert validation obtained an average result of 88,6% in the “strongly agree” and based on the results of the questionnaire students obtained an average result of 92,86% in the “strongly agree”. This indicates that all aspects assessed are in the very good category
Pengembangan Media Pembelajaran Berbasis Smart Apps Creator pada Mata Pelajaran Informatika Kelas X SMK Negeri 2 Tulungagung
Get PDFThis research focuses on improving the quality of teaching through the use of varied learning media at SMK Negeri 2 Tulungagung, which implements the Independent Curriculum. Even though technology such as projectors are available, the use of learning media is still dominated by printed books, which has an impact on the decline in students' interest in learning. The problem in learning Informatics at SMKN 2 Tulungagung is the lack of interactive learning media that is technology-based, especially in Computer Network and Internet materials. This research develops technology-based learning media using the Smart Apps Creator Application to increase interactivity and visualization. This study uses the Research & Development (R&D) method with the ADDIE (Analysis, Design, Development, Implementation, and Evaluation) model with the test subjects being students, lecturers as validators of media experts, and teachers as validators of material experts. Data collection instruments include interviews, observations, and questionnaires. The results of media validity obtained a score of 89.5% with the "Very Feasible" criterion and the validity of the material obtained a score of 89.2% with the "Very Feasible" criterion. The small group trial received a score of 76% with the "Feasible" criterion, while the large group trial obtained a result of 84.17% with the "Very Feasible" category. This AR media has proven to be effective in increasing students' understanding and motivation despite several technical obstacles
Analisis Prediksi Kebutuhan Kapasitas Media Penyimpanan RME dengan Metode Least Square RSUPN Dr. Cipto Mangunkusumo Jakarta
No full textThe implementation of electronic medical record services is supported by PMK RI Number 24 of 2022, Article 3, Paragraph 1, which mandates that every health service facility must organize Electronic Medical Records (EMR). Therefore, hospitals need to transition from manual to electronic records. One necessary step is determining the storage capacity needed for the server. Additionally, according to Article 39, EMRs must be stored for 25 years, requiring a prediction of storage needs over that period. This study discusses predicting the storage capacity needs for EMRs using the Least Square method, which analyzes time series data trends. Hospital data shows 130,712 medical records with a size of 261,424 MB from September 2022 to March 2023. The predicted storage needs from April to December 2023 are 781,490 MB, and for the next 25 years (until 2048) is 8,974,669 MB or 9 TB. The accuracy of the prediction, tested using MAPE, is 6.34%, which is considered very good. RSUP Nasional Dr. Cipto Mangunkusumo has provided 6 TB of server storage and 71 TB of NAS as backup. With 80 GB used per month as of March 2023, the hospital is advised to provide storage according to the prediction. Additionally, the maximum upload size in the HIS needs to be increased beyond 2 MB per medical record to maximize scanning quality and efficienc
Python Application to SEIR Model of the Spread of Malaria
Get PDFPython is the next breakthrough in natural science computing because it enables users to do more and better science. Research on the Susceptible-Exposed-Infected-Recovered-Susceptible (SEIRS) disease spread model has received a lot of attention, but with different factors, and the article aims to apply Python in simulating SEIRS-type Malaria spread data with handling/treatment parameters in other classes. They are exposed to the assumption that individuals who recover from Malaria may become susceptible to transmission of the disease. The data processing simulation aims to see whether Malaria will develop into an epidemic. The use of Python code will make it easier to detect outbreaks. The model for spreading Malaria involves four classes: susceptible, infected but not yet active, infected, and recovered. The simulation data is the number of malaria sufferers in 2017 from the Mimika District Health Service, Indonesia. Mimika Regency is the region with the highest number of malaria cases at 29.12% of all malaria cases in Indonesia. The equilibrium point is determined using a SEIRS-type mathematical model. Data processing with simulations in the SEIRS model obtains a primary reproduction number (Ro) of 0.078 and R0 < 1, so the disease will not become an epidemic
Klasterisasi Data Rekam Medis Pasien Menggunakan Metode K-Means Clustering Di Rumah Sakit Widodo Ngawi
No full textMedical record management is the most vital aspect of hospital operations. Medical records serve as a crucial source of information in patient healthcare services. Through data mining, knowledge extraction and data analysis can be carried out to find relationships, data structures, patterns, and regularities between data. The purpose of this study is to cluster using the RStudio application with the K-means clustering technique and identify disease prevalence patterns in Ngawi Regency. The methodology used is quantitative descriptive using secondary data, samples taken from hospitalization data from October to December 2023 totaling 3171 and divided into six variables, namely gender, age, sub-district, diagnosis, length of treatment and payment method. There are four clustering results, Cluster 1 amounted to 524 patients (19%), Cluster 2 amounted to 831 patients (30%), Cluster 3 amounted to 940 patients (33%) and Cluster 4 amounted to 512 patients (18%). Based on visits from each sub-district in Ngawi Regency, the total number of inpatient disease cases is fever (74), gastrointestinal diseases (64), stroke (43), and degenerative diseases such as diabetes (64), heart disease (7), neoplasms (6), asthma (4), systemic diseases (3), and external diseases (10). The study's findings can serve as a foundation for statistical management to inform decisions aimed at enhancing services and inpatient facilitie
Pengembangan Media Pembelajaran Berbasis Augmented Reality (AR) pada Mata Pelajaran IPA Kelas VII
Get PDFThe problem in science education at SMPN 1 Karangan is the lack of interactive and technology-based learning media, especially for the complex topics of Earth and the Solar System. This study developed Augmented Reality (AR) based learning media to enhance interactivity and visualization in teaching. The method used is Research and Development (R&D) with the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation). The analysis phase revealed the need for more interactive media. The design was developed using Unity and Canva, with content sourced from reliable science textbooks. Validation results from media and material experts showed scores of 95% and 93%, respectively. The small group trial (10 students) achieved a score of 96%, while the large group trial (30 students) reached 90.6%. The AR media proved effective in improving student understanding and motivation, despite some technical issues. The AR learning media is suitable for use and can enhance understanding of science topics. It is recommended for schools and teachers and should be disseminated through workshops. Further research is needed to test its effectiveness in various contexts and to enrich the content and features of the AR applicatio
Penerapan Algoritma Support Vector Machine Berbasis Kernel Radial Basis Function dalam Klasifikasi Sel Kanker
Get PDFCancer is a leading cause of death globally, with over 10 million deaths reported in 2020, according to the World Health Organization (WHO). Early detection and accurate diagnosis are crucial to improving survival rates. However, conventional diagnostic methods such as biopsies and histopathological analysis have several limitations, including being invasive, time-consuming, and reliant on subjective interpretation by pathologists. With technological advancements, artificial intelligence (AI) and machine learning (ML) offer promising alternatives in cancer diagnosis. This study explores the effectiveness of the Support Vector Machine (SVM) algorithm in classifying cancer cells using the Breast Cancer Wisconsin dataset. The dataset consists of 699 cell samples obtained through fine needle aspiration, each described by 10 morphological features and labeled as benign or malignant. The results show that SVM with a Radial Basis Function (RBF) kernel can classify cancer cells with high accuracy. Data preprocessing, including cleaning and normalization, significantly improves model performance. Additionally, parameter optimization using grid search enhances the model’s reliability. This study highlights the strong potential of SVM as an efficient, accurate, and practical decision-support tool in medical diagnosis, particularly for cancer detection
Penerapan Model Prototype Untuk Pembangunan Sistem Point of Sale (POS) Pada Toko Ritel
Get PDFPoint of Sale (POS) system in the business field, especially in the field of sales in retail stores is needed. This is because POS can replace business processes from conventional to systemized using electronic devices, namely computers. Toko Kafindra currently has not implemented a computerized business process. Therefore, this research implements a POS that can help Toko Kafindra in facilitating the management of business processes so that the retail store business can grow rapidly. This research uses a prototype model to facilitate the identification of user needs for the system to be built. The results showed that the Kafindra Store POS not only made it easier for the owner to know the outgoing goods but also could make it easier for the owner to know the incoming goods using the system of purchasing goods to suppliers. In addition, based on the results of the blackbox test on the system, the test results are valid and the system functions properl
Sistem Pakar Pemilihan Serum Wajah Menggunakan Metode Certainty Factor (Studi Kasus Produk Avoskin)
Get PDFMore and more people are aware of the importance of caring for facial skin, resulting in skincare production proliferating. Various kinds of skincare products are on the market, including facial serum. Facial serum is superior because it contains higher levels of active substances than other skincare products. The content and composition of a facial serum varies greatly and has different functions because the skin types and problems experienced are different. This means that users cannot use facial serum carelessly. Through this research, an expert system was created by applying the Certainty Factor method to identify facial serums, especially Avoskin products, which are expected to help the public determine facial serums that suit the type and skin problems they are experiencing. This study used 21 data on facial skin symptoms with eight types of Avoskin Your Skin Bae serum products. Based on the test results using the system accuracy percentage method, an accuracy of 85% was obtained so that the expert system created could run well
Minat Penggunaan M-Banking Bank Konvensional di Kabupaten Sumbawa: Implementasi Technology Acceptance Model
Get PDFThis study aims to examine the public's interest in using m-banking in conventional banks in Sumbawa Regency. The Technology Acceptance Model (TAM) was employed as the underlying framework, and the research was conducted using a field survey method. Data for this study were collected online through convenience sampling using a self-registered questionnaire. The data were analyzed using Structural Equation Modeling (SEM) Partial Least Squares (PLS). The findings indicate significant influences between attitude toward using, perceived ease of use, perceived usefulness, and smartphone self efficacy on m-banking usage intention. Perceived ease of use, perceived usefulness, and user experience have a significant impact on m-banking usage intention. Additionally, smartphone self efficacy also influences the perceived ease of use in m-banking, but it does not have an effect on the perceived usefulness. These findings provide a better understanding of the factors influencing the public's interest in using m-banking in conventional banks in Sumbawa Regency