Shilva Syahbina
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Mini Tinjauan Literatur Pemanfaatan Software Triangulos untuk Berpikir Komputasi Siswa Shilva Syahbina; Yahfizham Yahfizham
Pentagon : Jurnal Matematika dan Ilmu Pengetahuan Alam Vol. 3 No. 2 (2025): JUNI : 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.v3i2.544

Abstract

Computational thinking skills are now one of the main skills in 21st century education. Not only does it support mastery of technology, this ability is also very important in understanding and solving problems systematically. This study aims to review in depth the potential for utilizing Triangulos software as an innovative learning medium to improve students' computational thinking skills, especially in mathematical geometry material. The study used a literature review approach by tracing primary and secondary sources from 2020–2024. The results of the analysis show that the use of Triangulos can encourage students to develop algorithmic thinking patterns, spatial visualization, and problem-solving skills. In addition, this application also supports independent and collaborative learning, and has the potential to increase student motivation and activeness in class. These findings recommend the integration of Triangulos in mathematics learning as one of the efforts to innovate education in the digital era. Further empirical research is highly recommended to test the effectiveness of this application at various levels of education.
Kajian Literatur : Perkembangan Metode Dua Fase dalam Program Linear dan Aplikasinya Siti Nurmala Sirait; Shilva Syahbina; Widya Putri Mauliza Daulay; Meri Muliani Hasibuan; Siti Salamah Ginting
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 3 No. 4 (2025): 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.v3i4.630

Abstract

Linear programming is one of several methods for finding combinations of numbers to maximize or minimize the objective function in order to produce an optimal solution. However, manual calculations take a long time due to the complexity of the Linear Programming formula. In this paper, the author designs an application to solve web-based Two-Phase Simplex Linear Programming problems using the Angular JavaScript Framework. The application can solve Linear Program problems accurately after the mathematical model is entered. Because the method used is the Simplex Method, the application is also able to solve problems that have more than 3 decision variables. The results obtained are a combination of numbers in the decision variables along with their optimal solutions.