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All Journal Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika Pentagon: Jurnal Matematika dan Ilmu Pengetahuan Alam Algoritma: Jurnal Matematika, Ilmu Pengetahuan Alam, Kebumian dan Angkasa
Anita Talia
Unknown Affiliation
Earth & Planetary Sciences Education Health Professions Languange, Linguistic, Communication & Media Mathematics Social Sciences

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Implementasi Pendekatan Aktuaria Untuk Perhitungan Dana Pensiun Anita Talia; Danu Rama Dani; Zahra Putri
Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika Vol. 3 No. 1 (2025): Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika
Publisher : Asosiasi Riset Ilmu Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/arjuna.v3i1.1463

Abstract

A pension fund program is a crucial instrument in the social security system, playing a vital role in ensuring economic stability and financial well-being for individuals in their later years. This program is designed as a form of long-term financial planning aimed at providing protection for workers after they enter retirement. Through this, workers are promised structured benefits in the form of pension funds or allowances, ensuring sustainable income security. Long-term financial planning, particularly for retirement, has become an essential need in the modern economy. This research explores the implementation of actuarial approaches in pension fund calculations utilizing Python programming to enhance the calculation process. The research aims to determine the total promised pension funds allocated across the working period to calculate funding requirements more systematically. Simulated data is used to compare manual calculation results with Python-based estimations. Python is expected to provide additional efficiency in estimating future pension needs. The findings demonstrate that actuarial calculation methods, supported by programming technology, can enhance accuracy in projections and assist in determining the appropriate amount for pension fund programs.
Implementasi Metode Numerik dan Simbolik dengan Python untuk Penentuan Nilai Limit Fungsi Anita Talia; Angelica Angelica; Agatha Anggraini Tumanggor; Febryanti Hasibuan; Roberto Karlos Sinaga; Ocha Hosea Sigalingging
Pentagon : Jurnal Matematika dan Ilmu Pengetahuan Alam Vol. 2 No. 4 (2024): Desember: Pentagon : Jurnal Matematika dan Ilmu Pengetahuan Alam
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/pentagon.v2i4.279

Abstract

This study analyzes the utilization of Python as a tool for calculating function limits, with an emphasis on the application of the SymPy and NumPy libraries. The flexibility of Python allows researchers to perform mathematical calculations efficiently, employing both the symbolic approach provided by SymPy and the numerical methods offered by NumPy. SymPy facilitates the management of complex mathematical expressions and produces accurate symbolic results, while NumPy provides speed and efficiency in executing numerical computations. With active community support and regular updates to the libraries, Python proves to be a robust and flexible environment for research in the field of mathematics. Findings from this study indicate that the combination of these two libraries not only enhances the accuracy of limit calculations but also accelerates the research process, making it a relevant choice in both academic and practical contexts..
Penggunaan Bahasa Pemrograman Python dalam Pembelajaran Kalkulus Fungsi Dua Variabel Surbakti, Nurul Maulida; Angelyca Angelyca; Anita Talia; Cecilia Br Perangin-Angin; Dina Olivia Nainggolan; Nia Devi Friskauly; Sikap Ruth Br Tumorang
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 2 No. 3 (2024): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/algoritma.v2i3.67

Abstract

In everyday life, three-dimensional shapes are ubiquitous, manifesting in structures such as houses, bottles, and vehicles. These shapes, characterized by length, width, and height, represent the application of functions of two variables, particularly within spatial domains. This research employs Python programming to model functions of two variables, specifically focusing on spatial surfaces. Leveraging the Matplotlib module, graphical representations of these functions are generated, while the NumPy module facilitates mathematical analyses, including identifying extremal values, critical points, and tangent lines. Results demonstrate the efficacy of Python in efficiently modeling functions of two variables. Through this approach, readers gain insights into the inherent characteristics and behaviors of such functions within spatial contexts, thereby simplifying mathematical analyses and enhancing comprehension.
Co-Authors Agatha Anggraini Tumanggor Angelica Angelica Angelyca Angelyca Cecilia Br Perangin-Angin Danu Rama Dani Dina Olivia Nainggolan Febryanti Hasibuan Nia Devi Friskauly Nurul Maulida Surbakti Ocha Hosea Sigalingging Roberto Karlos Sinaga Sikap Ruth Br Tumorang Zahra Putri