Bulan Naysabilla
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Mengenal Dan Memahami Notasi Penulisan Dalam Algoritma Pemrograman Bulan Naysabilla; Yahfizham Yahfizham
Jurnal Elektronika dan Teknik Informatika TerapanĀ ( JENTIKĀ ) Vol. 1 No. 4 (2023): Desember: Jurnal Elektronika dan Teknik Informatika Terapan (JENTIK)
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jentik.v1i4.504

Abstract

Programming is a way that can be used in instructing computers to carry out certain tasks. Computer instruction means providing a set of commands that can be notated in a language understood by the computer. A program is a set or series of instructions to solve a problem. While the algorithm is a sequence of logical instructions in solving a problem that is arranged systematically. The purpose of this research is to facilitate the community, especially from students and students in the notation of writing programming algorithms on computer use. For the writing of this journal, the author uses the method of literature research among others by reading and studying books, articles, laws and other literature sources related to problems in this journal. From the results of the study, it can be shown that programming algorithms have three ways to notify the writing of programming algorithms, namely by means of descriptive sentences, flowcharts and pseudecode.
Systematic Literature Review : Penerapan Metode Branch and Bound dalam Optimalisasi Produksi Sherly Putri Revika; Jamiah Nurhakiki; Bulan Naysabilla; 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.v3i3.596

Abstract

This study presents a Systematic Literature Review (SLR) focusing on the application of the Branch and Bound (B&B) method in production optimization. In modern industry, achieving operational efficiency and profitability is essential, yet optimization often yields fractional solutions that are unrealistic for indivisible entities. The Branch and Bound method, as part of Integer Programming, has proven effective in addressing these constraints by converting fractional solutions into optimal integer values. This SLR analyzed 12 scientific articles published between 2016 and 2024, sourced from databases such as Google Scholar, Scopus, and SINTA. The analysis reveals that B&B is widely utilized to maximize production profit across various sectors, including spring beds, woven fabrics, bread, and furniture, often formulated as Integer Linear Programming (ILP) problems. Furthermore, this method is also applied to minimize production time and determine the shortest routes. Overall, B&B is a flexible and efficient tool that assists companies in managing resources and achieving maximum profit with realistic integer solutions.