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All Journal Jupiter Proceeding International Conference on Information Technology and Business Journal of Data Science Methods and Applications
Rini Nurlistiani
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Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science

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E-Report Engineering System for Senior High School in Lampung Melda Agarina; Sutedi Sutedi; Arman Suryadi Karim; Rini Nurlistiani
Prosiding International conference on Information Technology and Business (ICITB) 2022: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 8
Publisher : Proceeding International Conference on Information Technology and Business

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Abstract

one of the most important parts of a school is the students and their grades. Not infrequently, the storage and reporting of student grades is recorded and stored conventionally. Therefore, it takes a long time for the process. While the results of value processing can only be seen at the end of the semester, both by students and parents of students only in the form of report cards called report cards. Therefore, the school still has difficulties in processing grades, both daily grades and final grades, although the processing has been arranged but is still not optimal. The system that was built aims to simplify the process of assessing and absenteeism students using a web-based system. The method used, namely RUP, is one of the many processes contained in the Rational Process Library, which provides the best simulation for the development or needs of the project. The system is designed with UML diagrams and is built using the PHP programming language and The Mysql database. The results of the research are mobile web-based applications built online by producing features such as data processing of teachers, students, curriculum, courses, materials, assessments, attendance and report recaps. Based on the grades processed by the teacher, they can then produce reports in the form of assessment reports based on materials and reports on overall student progress that can be accessed online by parents. Keywords— Design, Information System, E-Reporting, School.
Sistem Informasi Repository Berbasis Web Pada SMK Negeri 1 Bandar Lampung Reni Wardati; Rini Nurlistiani; Ochi Marshella Febriani; Indera
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 15 No 2 (2023): Jurnal Penelitian Ilmu dan Teknologi Komputer (JUPITER)
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.10245603

Abstract

The system at SMK Negeri 1 Bandar Lampung for collecting internship reports, journals, e-books and scientific works is still not efficient and effective because they still collect reports manually and there is no system for disseminating e-books or journals. To improve the development of information technology at SMK Negeri 1 Bandar Lampung, a system is needed that can carry out this process, namely a website-based repository system. The repository system development methodology uses the Extreme Programming method, because the Extreme Programming method is more structured and easier to develop the system. The results of this system are implemented on a website, this system can upload internship reports, journals or e-books, and this system can carry out online guidance processes between student-teachers, student-externals and teacher-externals online on the website.
Prediksi Diagnosa Penyakit Jantung (Cardiovascular Diseases) Menggunakan Algoritma Machine Learning Rini Nurlistiani; Mia Sabina; Asmaul Dwi Akbar
Journal of Data Science Methods and Applications Vol. 1 No. 1 (2025)
Publisher : Program Studi Sains Data - Institut Informatika dan Bisnis Darmajaya

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Abstract

Heart disease remains a global health concern, being the leading cause of mortality with substantial impacts on the population. This research addresses the challenges in early detection and prediction of heart diseases, considering the complex and diverse nature of Cardiovascular Diseases (CVD). With limitations in diagnostic tools and healthcare resources, the study explores the application of machine learning algorithms for accurate predictions. Building upon previous research, various machine learning algorithms, including Random Forest, Multilayer Perceptron, Gaussian Processes, and M5P, were employed to predict heart disease-related data. The research involved comprehensive data pre-processing, visualization, model fitting, and evaluation stages. The dataset, sourced from the Hungarian Institute of Cardiology, comprised 14 attributes. Results demonstrated the effectiveness of the selected machine learning models, with Random Forest exhibiting outstanding performance, closely followed by Multilayer Perceptron. Gaussian Processes performed relatively well, while M5P provided a complex model structure offering additional insights. The use of 10-fold cross-validation enhanced the stability of model evaluation. Statistical analysis and data visualization contributed to a thorough understanding of model performance and dataset characteristics. In conclusion, this research contributes to developing accurate predictive models for heart disease detection. The findings offer valuable insights into algorithm performance and dataset characteristics, guiding future health science and information technology efforts for improved preventive and diagnostic measures. The methodology employed, including machine learning algorithms and cross-validation, presents a robust approach for future research in cardiovascular health prediction
Co-Authors Arman Suryadi Karim, Arman Suryadi Asmaul Dwi Akbar Indera Melda Agarina Mia Sabina Ochi Marshella Febriani Reni Wardati Sutedi Sutedi