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Khairunnisa Fadhilla Ramdhania
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Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Mathematics Physics

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Penerapan Metode SAW untuk Pemilihan Siswa Terbaik pada SMPN 266 Jakarta Berbasis Web Afnan Dwi Astuti; Khairunnisa Fadhilla Ramdhania; Dani Yusuf
Journal of Informatic and Information Security Vol. 4 No. 1 (2023): Juni 2023
Publisher : Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/98w8tj02

Abstract

In this study, the author aims to build a website-based decision support system for selecting the best student at SMPN 266 Jakarta. For this reason, the selection of the best students not only has good academic scores, but can be supported by non-academic scores. In the process of determining the best students at SMP Negeri 266 Jakarta, it is still done manually using only report cards, so that the data processing process can take a long time and there is a risk of errors in the assessment process. The method that the author uses is the Simple Additive Weighting (SAW) method, the concept of the SAW method is to determine the weight value for each attribute, then proceed with a ranking process to determine the best alternative. There are four criteria that the author uses, namely Mid-Semester Assessment (PTS), Final Semester Assessment (PAS), Extracurricular and Attendance. The use of a Decision Support System (DSS) is expected to assist decisions made in selecting and determining who is the best student, considering that so far it has not used a certain method in selecting students, so that sometimes decisions are considered less precise and effective. The system is made using Hypertext Preprocessor (PHP) as a programming language with a MySQL database. The final result obtained, this system can produce output in the form of a report on the list of the best prospective students along with the value calculated using the SAW method.  
Sistem Informasi Pengarsipan Surat Masuk dan Keluar dengan Algoritma Sequential Search di Kelurahan Bahagia Mugiarso; Tri Furkan Sarjono Aji; Khairunnisa Fadhilla Ramdhania
Journal of Informatic and Information Security Vol. 3 No. 1 (2022): Juni 2022
Publisher : Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/6peysq52

Abstract

In Kelurahan Bahagia, there are problems in managing archives, especially archiving incoming and outgoing letters, precisely in the search and presentation of mail information, often experiencing delays and difficulties in finding the archives of the letters. This study aims to assist Kelurahan Bahagia in overcoming the problem of mail archives, by designing and developing an information system for archiving incoming and outgoing mail using the Rapid Applciation Development (RAD) method and using a sequential search algorithm to help find mail information faster and easier. The result of this research is an information system for archiving incoming and outgoing mail that can help overcome the problem of filing letters in Kelurahan Bahagia.
Development of Deterministic-Stochastic Mathematical Models for Predicting Zoonotic Disease Transmission Dynamics in Tropical Regions Khairunnisa Fadhilla Ramdhania
Science Journal Get Press Vol 3 No 1 (2026): January, 2026
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/science.v3i1.437

Abstract

Leptospirosis is a re-emerging zoonotic disease involving complex interactions between humans, animal reservoirs, and the environment. This study investigates leptospirosis transmission using a coupled human–rodent SIR–SIR model under deterministic and stochastic frameworks. The basic reproduction number ( ) was derived analytically to determine invasion thresholds. Deterministic analysis shows that when , the disease persists and converges to an endemic equilibrium. In contrast, stochastic simulations reveal substantial variability in transmission dynamics and demonstrate the possibility of disease extinction even under conditions that deterministically predict persistence. Sensitivity analysis identifies the rodent-tohuman transmission rate and human recovery rate as key parameters influencing . These findings highlight the limitations of purely deterministic models and emphasize the importance of stochastic approaches for capturing realistic zoonotic disease dynamics. The proposed framework provides insights for developing integrated control strategies combining reservoir management, environmental intervention, and early treatment.
Co-Authors Afnan Dwi Astuti Dani Yusuf Mugiarso Tri Furkan Sarjono Aji