An Android-Based Smart Detection Application for Early Diagnosis of COVID-19 Ima Kurniastuti, Dike Bayu Magfira, Hendik Eko Saputro, Anisa’ul Ferisna, Ainin Sofia Proceedings 2025 11th International Conference on Education and Technology Personalized AI for Digital Well Being Bridging Technology and Humanity ICET 2025, 2025 This study presents the development and validation of an Android-based application designed to assist users in the early detection of COVID-19 symptoms through self-screening. This solution addresses the urgent need for a scalable and easy-to-use health monitoring tool, particularly in the context of a public health emergency. The application also has functions as a digital educational medium to enhance health literacy and public awareness. The development lifecycle included three key stages: system design, implementation system, and testing system. The design phase focused on structuring user interactions through flowcharts and an intuitive interface, while implementation utilized Android Studio to ensure efficient development and system integration. Functionality and reliability were assessed through rigorous black-box and white-box testing, confirming that the application performs consistently and accurately. Usability testing also performed in testing system to assess user experience in interaction with application. The results indicate that the application is well-suited to use. For future research, therefore involve large-scale testing to ensure more comprehensive and representative findings and additional improvements to the application’s features are recommended, particularly to enhance its potential as a tool for digital health learning and as an educational medium within healthcare applications.
Analysis and Prediction of Stunting Rate in East Java Province Using Support Vector Regression and Decision Tree Method Nonlinear Dynamics and Systems Theory, 2025
Improved Edge Detection using Morphological Operation to Segmentation of Fingernail Images Ima Kurniastuti, Teguh Herlambang, Tri Deviasari Wulan, Dike Bayu Magfira, Nur Shabrina Meutia, Hendik Eko Saputro, Sabrina Ifahdini Soraya Journal of Electronics Electromedical Engineering and Medical Informatics, 2025 Accurate segmentation of fingernail images is essential for biomedical applications like dermatological diagnostics and nail disease assessments. This study compares traditional methods (Sobel and Canny edge detectors) with an improved method using adaptive thresholding and morphological closing for fingernail image segmentation. The methodology includes data collection, preprocessing, edge detection, segmentation, and evaluation. A dataset of 500 fingernail images (free of nail polish) was captured using a digital camera. Preprocessing involves grayscale conversion to simplify analysis and Gaussian smoothing to reduce noise while preserving key features. For segmentation, thresholding and K-means clustering isolate the fingernail from the background. Evaluation combines qualitative and quantitative analyses. Qualitative results demonstrate that the improved method consistently outperforms traditional techniques under diverse conditions. Quantitative evaluation, based on accuracy, recall, F1 score, and Intersection over Union (IoU), further supports these findings. The Sobel method achieves 0.80 accuracy, 0.77 recall, 0.87 F1 score, and 0.77 IoU. The Canny method achieves 0.82 accuracy, 0.78 recall, 0.88 F1 score, and 0.78 IoU. In contrast, the improved method achieves 0.97 accuracy, 0.98 recall, 0.99 F1 score, and 0.98 IoU. The results clearly show that the improved method, using adaptive thresholding and morphological closing, provides superior segmentation performance. Additionally, the approach remains computationally efficient, making it suitable for real-time applications in medical diagnostics.
Early Detection of Covid-19 Diagnosis Based on Website Applications Ima Kurniastuti, Dike Bayu Magfira, Kurnia Anggriani Proceedings Ice3is 2024 4th International Conference on Electronic and Electrical Engineering and Intelligent System Leading Edge Technologies for Sustainable Societies, 2024 Covid-19 is a disease caused by a virus and attacks the human lungs. One of the early indicators of the disease is the oxygen level in the blood. Information about oxygen levels can be measured using a tool called a pulse oximeter. However, this tool does not provide information regarding oxygen level categories. Therefore, in this paper, a website-based application for determining oxygen levels is carried out. The application also provides information and suggestions based on screening results related to Covid-19. This application was designed and built using the PHP and MySQL programming languages. The methods applied in this paper are design application, implementation application and testing application. The design application is consists of design of user interface (UI) and flowchart of system. The implementation application is shown in website application. Testing application using black box testing and usability testing. Results of testing application show that the application functions well and can be used by the society as an independent application for determining oxygen levels.
Implementation of Neural Network for Classification of Diabetes Mellitus through Finger Nail Image Ima Kurniastuti, Ary Andini, Muhammad Rizqi Dwisapta Procedia Computer Science, 2024 This study aims to obtain accuracy for classification of diabetes mellitus based on fingernail images using neural network. The data is fingernail images with fasting conditions and non-fasting conditions. In each condition, data is divided into three namely diabetes, prediabetes and normal data. Images in each data are 100 images. Methods were preprocessing, GLCM, neural network (NN) and accuracy. Preprocessing were cropping and grayscaling. GLCM were contrast, entropy, homogeneity, energy and correlation features. In NN, number of epochs used is 1000. Images in the training data is 240. The accuracy were 100% for fasting condition and 85% for non-fasting condition.
Implement Website Application For Medical Record Using The Prototype Method Ima Kurniastuti, Mochamad Hamid Taslim, Rizqi Putri Nourma Budiarti, Teguh Herlambang Proceedings 2024 International of Seminar on Application for Technology of Information and Communication Smart and Emerging Technology for A Better Life Isemantic 2024, 2024 As one of the healthcare facilities that provides direct services to patients, Praktik Mandiri Bidan (PMB) Ika Mardiyanti want to give the best service to patients. But, the service process still relies on manual methods. Based on interview, the challenge is difficulties in managing the large number of forms that need to be filled out manually. This study implements a web-based medical record information system. The system consists of some features such as patient menu, medication menu, service menu, medical record menu, billing, and report menu. The method is used in this study is prototype method contains system requirement analysis, rapid design modeling, user interface system creation, and testing system. The system was developed using PHP with Laravel framework, and MySQL as database. Testing method using Blackbox Testing and User Acceptance Testing (UAT) methods. The result show that system manages data effectively, improves the recording process, and enhances efficiency in medical record data report. The result of blackbox testing achieved 100% success rate and UAT reached 99% satisfaction rate, indicating that the system was well-received by user.
AN ENTERPRISE ARCHITECTURE PLANNING FOR TOUR AND TRAVEL COMPANY USING TOGAF ADM Anung Style Bukhori, Ima Kurniastuti, Firman Yudianto, Fajar Annas Susanto Revista De Gestao Social E Ambiental, 2024 Purpose: This study aims to address inefficiencies in service delivery processes within PT. Auva Eqtena Tour and Travel, particularly concerning manual operations and administrative document management. By utilizing the TOGAF ADM (The Open Group Architecture Framework Architecture Development Method) methodology, the research seeks to develop a strategic plan for information systems that enhances service efficiency and streamlines operations. Methods: The research employs the TOGAF ADM methodology to guide the strategic planning process for information systems improvement. Four key aspects are considered: vision architecture, business architecture, information system architecture, and technology architecture. Through a systematic approach, the study identifies areas for improvement and proposes strategic initiatives to optimize the utilization of information systems and technology. Results and Discussion: Analysis of the current operational processes within PT. Auva Eqtena Tour and Travel reveals inefficiencies in manual operations and document management, leading to delays and increased resource consumption. The application of TOGAF ADM methodology facilitates the development of strategic plans across various architectural domains. The proposed initiatives include enhancements in vision architecture, business processes, information system integration, and technological infrastructure to optimize information system utilization and improve service delivery efficiency. Implications of the Research: The findings have significant implications for PT. Auva Eqtena Tour and Travel, providing actionable insights for enhancing service efficiency and operational effectiveness through strategic information systems planning. By aligning business objectives with technology capabilities, the proposed initiatives aim to streamline processes, reduce costs, and enhance customer satisfaction. Originality/Value: This study contributes to the existing literature by applying the TOGAF ADM methodology to address operational challenges within the tour and travel industry. By integrating strategic planning principles with architectural frameworks, the research offers a structured approach to information systems development and optimization. The proposed strategic plan provides a roadmap for PT. Auva Eqtena Tour and Travel to leverage information systems effectively, thereby enhancing its competitive position and service delivery capabilities in the market.
A Remotely Operated Vehicle Tracking Model Estimation Using Square Root Ensemble Kalman Filter and Particle Filter Nonlinear Dynamics and Systems Theory, 2024
Implement Android Application for Determination and Monitoring Blood Chemistry Ima Kurniastuti, Tri Deviasari Wulan, Difran Nobel Bistara 2022 International Seminar on Application for Technology of Information and Communication Technology 4 0 for Smart Ecosystem A New Way of Doing Digital Business Isemantic 2022, 2022
RGB Channel Analysis for Glomerulus and Proximal Tubule Detection in Kidney Histology Image Ima Kurniastuti, Ula Nur Rahmatin, Firman Yudianto, Tri Deviasari Wulan Proceedings 2021 International Seminar on Application for Technology of Information and Communication IT Opportunities and Creativities for Digital Innovation and Communication within Global Pandemic Isemantic 2021, 2021
Semi-automatic determination of root canal length in dental X-ray image I Ketut Eddy Purnama, Ima Kurniastuti, Margareta Rinastiti, Mauridhi Hery Purnomo Proceedings 2015 4th International Conference on Instrumentation Communications Information Technology and Biomedical Engineering Icici Bme 2015, 2016
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