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All Journal Journal of Innovative and Creativity
Rizky, Tasya Widianto
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Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Menentukan Akar Persamaan Menggunakan Metode Bagi Metode Bagi Dua(Bisection) Sapriani, Mutiara; Siregar, Anggidola Putri; Sakinah, Zariah; Rizky, Tasya Widianto; Harahap , Amin
Journal of Innovative and Creativity Vol. 6 No. 1 (2026)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v6i1.7342

Abstract

Persamaan non-linear merupakan komponen fundamental dalam pemodelan sistem fisika dan keteknikan. Namun, seringkali solusi eksak tidak dapat ditemukan melalui manipulasi aljabar sederhana. Penelitian ini bertujuan untuk mengeksplorasi efektivitas Metode Bagi Dua (Bisection Method) sebagai algoritma numerik untuk mengisolasi akar dalam suatu interval tertutup. Melalui pengujian pada fungsi polinomial, artikel ini membahas mekanisme kerja, stabilitas konvergensi, serta estimasi galat yang dihasilkan. Hasil kajian menunjukkan bahwa konsistensi metode ini dalam menjamin konvergensi menjadi nilai tambah utama di tengah keterbatasan kecepatan komputasinya.
Mengapa Program Linear Penting Untuk Pengambilan Keputusan Bisnis sapriani, mutiara; Putri, Anggi Dola; Sakinah, Zariah; Rizky, Tasya Widianto; Harahap, Amin
Journal of Innovative and Creativity Vol. 6 No. 1 (2026)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v6i1.7344

Abstract

In an increasingly competitive business environment, organizations are required to make accurate and efficient decisions based on limited resources. Linear programming is a mathematical optimization technique that plays a crucial role in supporting managerial decision-making processes. This method enables businesses to determine the optimal allocation of resources such as labor, capital, and materials in order to maximize profit or minimize costs while considering various operational constraints. This study aims to examine the importance of linear programming in business decision-making and to analyze its impact on operational efficiency and profitability. The research employs a qualitative descriptive approach by reviewing relevant literature, business case studies, and empirical findings related to the application of linear programming models. The results indicate that linear programming significantly improves decision accuracy, reduces operational costs, and enhances productivity across different business sectors, including manufacturing, logistics, finance, and marketing. Furthermore, the findings reveal that companies implementing linear programming models are better equipped to manage complex decision scenarios, forecast outcomes, and adapt to dynamic market conditions. Therefore, linear programming is not only a valuable analytical tool but also a strategic instrument that contributes to sustainable business growth.
Co-Authors Harahap , Amin Harahap, Amin Putri, Anggi Dola Sakinah, Zariah Sapriani, Mutiara Siregar, Anggidola Putri