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All Journal JURNAL HERITAGE International Journal of Global Operations Research International Journal of Mathematics, Statistics, and Computing
Firdaus, Muhammad Rayhan
Unknown Affiliation
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences

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Pure Premium Modeling for Property Fire Insurance Using Monte Carlo Method Putri, Linda Damayanti; Firdaus, Muhammad Rayhan
International Journal of Mathematics, Statistics, and Computing Vol. 2 No. 4 (2024): International Journal of Mathematics, Statistics, and Computing
Publisher : Communication In Research And Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijmsc.v2i4.144

Abstract

Modeling pure premium of property fire insurance is an important aspect for insurance companies in managing risk. This article discusses the Monte Carlo method in modeling pure premium of property fire insurance. The Monte Carlo method is used to simulate various scenarios and loss factors due to property fire. Monte Carlo simulation offers an effective approach to modeling property fire risk. The results of this study are expected to provide an overview of the modeling of pure premium of property fire insurance and assist insurance companies in decision making and determining optimal premium prices.
Representasi Citra Diri Keanu Sebagai Influencer Melalui Instagram @keanuagl Firdaus, Muhammad Rayhan; Zulfiningrum, Rahmawati

Publisher : Program Studi Ilmu Komunikasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/heritage.v10i2.3234

Abstract

Salah satu platform media sosial yang populer adalah Instagram terlebih pada kalangan dewasa muda. Hingga muncul istilah “selebriti Instagram” dari penggunaan media sosial Instagram. Keanu Angelo atau @keanuagl merupakan selebgram atau influencer yang memiliki daya tarik tersendiri bagi kalangan remaja. Keanu Angelo juga merupakan influencer yang mempunyai karakter yang unik dengan cara berbicara yang lucu dan berpenampilan apa adanya atau sesuai dengan jati dirinya. Instagram @keanuagl masuk dalam “10 Selebgram Indonesia Paling Bersinar di 2020.” Tujuan dari penelitian ini adalah untuk menganalisis representasi citra diri Keanu sebagai influencer melalui Instagram @keanuagl. Metode penelitian menggunakan kualitatif dan analisis semiotika model Charles Sanders Pierce dengan teori segitiga makna yang terdiri dari objek, tanda dan makna. Hasil dari penelitian menunjukkan bahwa karakteristik representasi citra diri Keanu, mulai dari cara berpenampilan secara umum dalam Instagram, kebebasan berbusana sesuai karakter diri, percaya diri akan ukuran tubuh, penggunaan kosmetik untuk penunjang karir, dan model rambut yang mengikuti trend seluruh karakter tersebut direpresentasikan dalam Instagram @keanuagl. Citra diri Keanu menginspirasi influencer lain dan para pengikutnya di Instagram untuk menjadi diri sendiri dan memiliki karakter.
Stock Portfolio Optimization of IDX30 using Agglomerative Hierarchical Clustering and Ant Colony Optimization Algorithm Firdaus, Muhammad Rayhan; Subartini, Betty; Sukono, Sukono
International Journal of Global Operations Research Vol. 6 No. 3 (2025): International Journal of Global Operations Research (IJGOR), August 2025
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v6i3.394

Abstract

The stock market offers high profit opportunities but also entails significant risks, making portfolio optimization essential to help investors manage risk and maximize returns. This study aims to cluster IDX30 stocks to form a more diversified portfolio, determine the optimal stock weights, and evaluate portfolio performance. The method employed is Agglomerative Hierarchical Clustering (AHC) with Ward linkage for clustering stocks based on financial ratios, with the silhouette score used to evaluate cluster quality. Subsequently, the Ant Colony Optimization (ACO) algorithm is applied to optimize stock weights in the portfolio based on the clustering results. The findings indicate that the best portfolio is obtained in clusters 5 and 6, with a maximum fitness value of 0.064555 and a portfolio return of 0.000814. Portfolio performance evaluation using the Sharpe ratio yields a value of 0.044767 for both clusters, indicating that the resulting portfolios are efficient. This research is expected to contribute to the development of more accurate and practical data-driven investment strategies for investors.
Co-Authors Betty Subartini Putri, Linda Damayanti Sukono . Zulfiningrum, Rahmawati