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Kamila Azra Nur Izzati
- Universitas Gadjah Mada
Profil Lengkap
I am a 7th-semester mathematics major at UGM with a strong interest in data. I have experience as a data analyst, teaching assistant, and research assistant in the fields of computing and applied mathematics. Outside of academics, I have organizational experience, including serving as First Treasurer of the Interdisciplinary Scientific Reasoning Unit and Secretary of the Radian Department (academic) at Himatika. I am personally highly enthusiastic about learning, which drives me to actively develop my skills as a strategy for achieving my dream career.
The process begins by determining the course outcomes for each quiz question and assignment to ensure alignment with the intended learning objectives. Assignments and quizzes from 40 students, totaling 233 files, are then graded based on these outcomes. Finally, all files are compiled and reported to the department.
Data on Yogyakarta City's public Wi-Fi service were analyzed over a four-day period (January 23–26, 2026) based on real-time data, involving a total of 4,143 devices. User patterns and characteristics regarding the public Wi-Fi service were successfully identified. In addition, the retention and persistence rates of the public Wi-Fi service during weekdays and weekends were determined, thereby providing new insights for Dinas Kominfosan.
The process begins by determining the course outcomes for each quiz question and assignment to ensure alignment with the intended learning objectives. Assignments and quizzes from 38 students, totaling 145 files, are then graded based on these outcomes. Finally, all files are compiled and reported to the department.
The overall framework and workflow for SURFACE (Sustainable Farming Ecosystem) were designed to support sustainable agricultural practices. Within this framework, STRATEGY (Smart Trapping with Hybrid Energy) was developed and designed to monitor pest insect populations in real time by integrating solar panels, thermoelectric generators, and piezoelectric devices.
As secretary, 32 pieces of correspondence required by the department were handled during one term of office. In addition, service as Coordinator of the Seminar Sub-Event was carried out, with the event attended by over 40 people and achieving a satisfaction rating of approximately 85/100. Service also included serving as a guest speaker for the Student Testimonial program as a scholarship recipient. Furthermore, four competition delegations were coordinated and students' academic achievements were documented.
Financial plans were developed for each department's work programs and priority work programs, including annual budgets, while development funds were allocated to work programs requiring additional funding. Reports on the use of these development funds were also prepared. In addition, cash flows were tracked and funds totalling over 60 million Rupiah were managed.
The PKM program focused on educating the community about common diseases through cooperative learning at BRSPA Bimomartani. My role was as an administrator and manager of the team's Facebook account, editing and producing approximately 10 posts on Instagram Story, serving as a journalist for the PKM activity reports in three articles (Kumparan, UGM, and Kompasiana), editing the covers of all Common Diseases (ComDi) Education Modules, serving as the writer and editor of the short story "Hidup Bersih dan Sehat Bersama Sobat ComDi," as well as serving as the team's presenter at the Assessment of the Progress of the Student Creativity Program Implementation.
The modeling of the aggregate loss distribution of insurance companies is carried out within the framework of the Program Penjaminan Polis managed by Lembaga Penjamin Simpanan (LPS). This study managed over 12,000 financial statements from 135 Indonesian insurance companies. The financial statement data were analyzed to determine the probability of default, exposure at default, and loss given default.
The modeling of satellite image reconstruction is carried out to account for atmospheric disturbances that degrade image quality. The data are processed using Python, with machine learning techniques applied to support the reconstruction process. In addition, a research paper is being drafted for submission to an international journal.
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