My name is
Fedhilla Fieldhathama
Statistics at Universitas Diponegoro
Exploring Risk Analysis, Data Science, and Machine Learning
Statistics at Universitas Diponegoro
Exploring Risk Analysis, Data Science, and Machine Learning
Bachelor's Degree - Statistics
Mathematics and Science
A Final-year Statistics student at Universitas Diponegoro. Motivated to continuously learn and grow as a professional. Interested in fields such as data analysis, data science, and machine learning. Also has some experience in various data challenge competitions. Demonstrates a strong commitment to learning, adapting to various situations, strong analytical skills, and possesses decent technical skills at using analytics tools such as Python, R, and Tableau.
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Quantitative Risk Management
2025
Analyzed external factors, risks, and strategies for 3 financial assets using Johansen Cointegration, VECM, and VaR.
2025
Path analysis explores whether character and cognitive variables interact in child development or act independently.
2024
Predicted and analyzed the impact of remittances on Indonesia’s manufacturing sector using Vector Error Correction Model.
2024
Researched risky sexual behavior among foster care adolescents using mixed methods under Social Cognitive Theory.
2024
Proposed Syariah-based digital funding strategies for Bank Mega Syariah integrating AI and sustainable finance.
2024
Published an article on risky sexual behavior among foster care adolescents using mixed-method analysis under Social Cognitive Theory framework.
2024
Registered an HKI for a statistical research product, strengthening innovation and academic contribution.
2024
Presented research on coastal coral reef management and resilience conservation in Kupang, Lombok, integrating local traditions and climate strategies.
2023
Built ML model using LightGBM to classify network attacks with 99.58% F1 score, top 15 in ASEAN.
Research School 1 – Himasta UNDIP
2024
Oversaw planning, logistics, and execution of the Research School event, ensuring smooth operations and successful outcomes.
Competition Workshop – Himasta UNDIP
2024
Led the planning, coordination, and execution of the workshop, managing committees and ensuring impactful event delivery.
Kelompok Olimpiade Matematika dan IPA – UNDIP
2023 – 2024
Responsible for documentation, correspondence, and supporting administrative management of the organization.
Pre-Basic Leadership Training – Himasta UNDIP
2023
Guided participants through leadership development sessions and facilitated group activities to enhance team-building skills.
Diponegoro Science Competition – Research Incubator Center
2023
Supported logistics and event execution for a large-scale academic competition with participants from various universities.
Research Gateway Seminar – Research Incubator Center
2023
Assisted in organizing a national seminar on research, coordinating speakers and ensuring smooth event flow.
This study aims to optimize a bond portfolio by clustering financial ratios using the K-Means method and analyzing Macaulay duration. From a selection of bonds issued by companies listed in the MNC36 Index, two bonds BBNI and TBIG were identified through clustering based on current ratio, debt- to-equity ratio, and leverage ratio.
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Analyzed and compared the performance of four portfolio optimization methods—Minimum Variance Efficient Portfolio (MVEP), Single Index Model (SIM), Capital Asset Pricing Model (CAPM), and Non-dominated Sorting Genetic Algorithm II (NSGA-II). The study evaluated the trade-off between return and risk to recommend optimal investment strategies.
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Developed a hybrid portfolio optimization model by integrating deep learning techniques (LSTM, GRU, and CNN) for financial forecasting with a multi-period, multi-objective framework. The research successfully balanced maximizing returns while controlling risk and distribution of profits, proving that the predictive approach yielded more realistic and adaptive investment strategies than traditional methods based on historical data.
This paper applies the Delta-Gamma method to calculate Value at Risk (VaR) for government bond portfolios, incorporating Macaulay duration and convexity for enhanced accuracy. Using FR0100 and FR0101 bond data (December 2023-December 2024), the study demonstrates that this approach provides robust risk evaluation and aids in optimizing investment decisions.
This project analyzes SMGR stock risk using four Value-at-Risk (VaR) methods Cornish-Fisher, Historical Simulation, Variance-Covariance, and Monte Carlo. It compares downside risk under different assumptions, offering insights into method reliability and suitability for SMGR’s volatility.
This analyzes the long-term implications of corporate bond rating changes by PT PEFINDO (2007-2023) on credit stability using a Markov Chain model. The study concludes that high-rated bonds tend to be stable, while middle and low- rated bonds have a higher probability of downgrade or reaching maturity.
Sales peak in April and July, driven by seasonal farming needs, loyal farmer demand, and strong preference for corn products, highlighting the need for focused training and inventory strategies.
Tingkat Stunting di Wilayah: Sebuah pie chart yang menunjukkan persentase stunting berdasarkan umur. Dengan begitu, kita dapat melihat pola stunting yang berbeda antara usia yang berbeda.
Experienced in analyzing sustainable investment trends focusing on Environmental, Social, and Governance (ESG) aspects. Capable of evaluating investment performance based on ESG scores and conventional investment comparisons. Skilled in identifying and managing challenges and risks associated with sustainable investing, including regulatory complexities and market volatility.
The rapid evolution of information technology has propelled the telecommunications sector in Indonesia, fostering connectivity, information accessibility, and community empowerment. With the government's initiatives aligning with the vision of "Indonesia Emas 2045," advancements in internet connectivity and data transfer speed are transforming global communication.
Analyzed the role of smart grid systems and big data analytics in optimizing renewable energy potential to support a sustainable green economy. Utilized data modeling techniques to evaluate renewable energy targets and demonstrated the feasibility of achieving national clean energy goals in Indonesia. This work highlights skills in technical analysis, data interpretation, and strategic planning for energy transition.
Rabies merupakan penyakit zoonosis yang disebabkan oleh virus rabies dan bersifat sangat fatal. Virus rabies bisa menular melalui air liur, gigitan, atau cakaran hewan yang tertular rabies. Rabies hampir selalu berakibat fatal meskipun infeksinya dapat dicegah menggunakan Vaksin Anti Rabies (VAR).
Sosialisasi pengolahan limbah organik menjadi kompos efektif meningkatkan pemahaman peserta. Hal ini dibuktikan dengan hasil kuesioner dan analisis data Uji Binomial 2 arah yang menunjukkan peningkatan signifikan secara statistik (p-value < sig. 1,53x10^-5 < 0,05).
Sosialisasi pembuatan Pupuk Organik Cair (POC) dari limbah organik terbukti efektif meningkatkan pengetahuan peserta. Hal ini didukung oleh hasil kuesioner yang menunjukkan peningkatan signifikan pengetahuan responden dan analisis data dengan Uji Binomial 2 arah yang menghasilkan p-value < sig. (2,38 x 10^-7 < 0,05).
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