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All Journal Jurnal Teknik Informatika dan Teknologi Informasi Bilangan: Jurnal Ilmiah Matematika, Kebumian dan Angkasa Algoritma: Jurnal Matematika, Ilmu Pengetahuan Alam, Kebumian dan Angkasa
Icha Amelia
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Astronomy Computer Science & IT Earth & Planetary Sciences Mathematics

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Konsep Pembelajaran Mahasiswa Dalam Memahami Algoritma Melalui Komputer Pemograman Icha Amelia; 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.v3i3.2885

Abstract

A programing algorithm means a number of activities to complate a process. Its done according to the procedure. Algorithm can be basis for the development of computer programs. The core of the science is algorithms.. The literary based on data metodology found in various refrences. The goal is tho get help students recognize and faciliate student understanding theeby increasing motivation in learning.
Studi Literatur: Penerapan Persoalan Transportasi dalam Biaya Pengangkutan Barang di Pabrik-Pabrik yang Ada di Indonesia Icha Amelia; Fakhrezi, Ilham Achmad; Marshanda Suraya; 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.v3i3.601

Abstract

This study examines the application of transportation problems in an effort to minimize goods transportation costs in various factories in Indonesia, using a Systematic Literature Review (SLR) approach. Transportation problems, as a part of operations research, focus on optimizing distribution costs from sources to destinations. In the industrial context, good planning and strategy are essential to save transportation costs and increase profits. This study analyzes ten relevant journals published between 2017 and 2025, exploring various methods such as the transportation model, North West Corner, Stepping Stone, and Vogel's Approximation Method (VAM), including its modification (MVAM), to achieve efficiency in logistics distribution. The results of the study indicate that the application of these methods significantly contributes to reducing operational costs, accelerating distribution processes, and increasing overall logistics effectiveness in the Indonesian manufacturing sector.
Systematic Literature Review: Analisis Penggunaan Program Dinamik dalam Perencanaan Produksi dan Pengendalian Persediaan Bulan Naysabilla; Miftah Khairiyah SM; Icha Amelia; Siti Salamah Br Ginting
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 4 No. 1 (2026): 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.v4i1.915

Abstract

Production planning and inventory control are critical aspects of operations management, as they directly influence cost efficiency, resource utilization, and the continuity of the production process. Ineffective planning and inventory decisions may lead to excessive costs, production delays, or imbalances between supply and demand. The complexity of these problems, which often involve multi-period horizons and multi-stage decision-making processes, has encouraged the application of quantitative optimization methods, one of which is dynamic programming. This study aims to analyze and synthesize the application of dynamic programming in production planning and inventory control through a Systematic Literature Review (SLR) approach. The SLR process was conducted by systematically identifying, selecting, and analyzing 15 relevant national journal articles published between 2015 and 2024 and obtained from various recognized scientific databases. The reviewed literature indicates that dynamic programming is effective in supporting optimal decision-making by determining appropriate production quantities and inventory levels, minimizing total production and holding costs, and managing fluctuating demand conditions. In addition, this method helps reduce the risks associated with overstock and stockouts by considering sequential decision structures. However, the findings also reveal several limitations of dynamic programming, including high computational complexity, strong dependence on deterministic data assumptions, and limited flexibility in handling high levels of uncertainty. These constraints suggest the need for further methodological development or integration with other approaches to enhance practical applicability.
Co-Authors Bulan Naysabilla Fakhrezi, Ilham Achmad Marshanda Suraya Miftah Khairiyah SM Siti Salamah Br Ginting yahfizham yahfizham