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All Journal Saber: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Algoritma: Jurnal Matematika, Ilmu Pengetahuan Alam, Kebumian dan Angkasa
Syofiah Sinaga
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Computer Science & IT Earth & Planetary Sciences Mathematics

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Analisis Studi Literatur Pemahaman Mahasiswa Tentang Algoritma Pemrograman Syofiah Sinaga; Yahfizham Yahfizham
SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Vol. 2 No. 1 (2024): Januari : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/saber.v2i1.603

Abstract

Students’ understanding can be through various learning concepts. In this research, the author raises the title of studants’ understanding of programming algorithms. An algorithm is procedure that is arranged in writing and sequentially and when related to programming it means sequential procedures and a structure for creating a program. The method used I this research is literature study. The author collects data or reference sources regarding students’ understanding of programming algorithms. After collecting the data, the author will analyze the references that have been collected. Analysis of this literature study will be effective in increasing the author’s and reader’s understanding of programming algorithms
Studi Literatur Tentang Efektivitas Metode Dua Fase dalam Menyelesaikan Masalah Program Linear Syofiah Sinaga; Selviana Anggreani; Vina Al Liana; Siti Salamah Br 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.v3i4.608

Abstract

This study uses a qualitative method with a literature review approach to examine the effectiveness of the two-phase method in solving linear programming problems. The two-phase method is one of the techniques in linear programming used when the objective function does not have a feasible initial solution directly. Through the exploration and analysis of various scientific literature sources from 2019 onwards, this study finds that the two-phase method can systematically provide optimal solutions, especially in complex problems with multiple constraints. Previous research has shown that this method is effective in accelerating the identification of basic feasible solutions and minimizing unnecessary iterations compared to the standard simplex method. Additionally, the two-phase method offers better numerical stability and high reliability in both industrial and educational applications. However, its effectiveness largely depends on the understanding of the algorithm and the ability to design an appropriate mathematical model. The results of this study are expected to contribute theoretically to the development of efficient solution techniques for linear optimization problems.
Co-Authors Selviana Anggreani Siti Salamah Br Ginting Vina Al Liana yahfizham yahfizham