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All Journal Jurnal Teknik Informatika dan Teknologi Informasi Bilangan: Jurnal Ilmiah Matematika, Kebumian dan Angkasa
Adawiyah Ritonga
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Astronomy Computer Science & IT Mathematics

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Studi Literatur Perbandingan Bahasa Pemrograman C++ dan Bahasa Pemrograman Python pada Algoritma Pemrograman Adawiyah Ritonga; Yahfizham Yahfizham
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 3 No. 3 (2023): Desember : Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v3i3.2863

Abstract

Programming Language is a language used to write computer program codes. Programming languages ​​allow programmers to instruct computers to perform certain tasks. There are many different programming languages ​​such as Python, Java, C++, PHP, JavaScript and so on. This article only focuses on explaining the C++ and Python programming languages. The aim of this article is to find out the differences between the C++ and Python programming languages ​​and to find out the advantages and functions of each programming language. From the results obtained, the two C++ programming languages ​​are more focused on Windows development, while Python is more often used in software development and the C++ programming language is more difficult to understand than the Python programming language.
Systematic Literature Review : Analisis Metode Simpleks dalam Menyelesaikan Permasalahan dalam Kehidupan Sehari-Hari Ghasani Fathonia; Adawiyah Ritonga; Ega Trianingsih Aksana; Siti Salamah Br Ginting
Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa Vol. 3 No. 3 (2025): Juni: Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/bilangan.v3i3.597

Abstract

This research employs a Systematic Literature Review (SLR) approach to analyze the application of the simplex method as a tool for solving real-world optimization problems. Mathematics education plays a crucial role in developing critical thinking and achieving accurate results. Linear programming, with its highly effective simplex method, is a branch of mathematics proven to solve various optimization challenges such as cost minimization, profit maximization, distribution, and scheduling. In practice, the simplex method is an alternative algorithm that systematically searches for the optimal solution to problems by moving from one feasible solution to another until the best result is achieved. This study identifies, examines, evaluates, and interprets relevant studies on the simplex method's application in real-world contexts. Our review of 20 journals reveals that the simplex method is highly effective in solving a wide range of optimization problems, from large-scale industries to Micro, Small, and Medium Enterprises (MSMEs). Examples of its application include optimizing fish feed costs at PT. Indojaya Agrinusa, maximizing profits for Seblak MSMEs, determining optimal sales quantities for areca nuts, and optimizing the production of tofu and pottery crafts, among others. The simplex method's ability to consider various limiting factors has proven to be extremely helpful.
Co-Authors Ega Trianingsih Aksana Ghasani Fathonia Siti Salamah Br Ginting yahfizham yahfizham