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All Journal Journal Of Informatics And Busisnes Katalis Pendidikan: Jurnal Ilmu Pendidikan dan Matematika
Fadilah Aulia
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Computer Science & IT Economics, Econometrics & Finance Education Mathematics Other

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Mengenal Bahasa Pemrograman Pada Algoritma Pemrograman Fadilah Aulia; Yahfizham
Journal Of Informatics And Busisnes Vol. 1 No. 4 (2024): Januari - Maret
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v1i1.521

Abstract

A programming algorithm is a coherent progression that is followed to address a specific problem or task. A programming language is a guide used to convey tasks to a computer. Programming languages ​​include: C, C++, Java, Python, JavaScript. Each programming language has its own advantages and disadvantages. This article is expected to provide a broad understanding of the programming languages ​​used in programming algorithms. The method used is a literature study which presents a programming language that is easiest to learn for beginners.
Penerapan Metode Hungarian pada Usaha Rumahan Kue Cincin untuk Meminimalkan Biaya Operasional : (Studi Kasus: UMKM Pak Sofwan) Apriani Syahputri; Fadilah Aulia; Siti Izzati Sarah; Siti Salamah Br Ginting
Katalis Pendidikan : Jurnal Ilmu Pendidikan dan Matematika Vol. 2 No. 3 (2025): Katalis Pendidikan : Jurnal Ilmu Pendidikan dan Matematika
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/katalis.v2i3.2079

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play a vital role in the Indonesian economy, including in the traditional culinary sector such as the home-based Kue Cincin Sofwan business. However, in its operations, inefficient division of worker tasks is often found, resulting in wasteful costs. This study aims to apply the Hungarian Method in determining optimal worker assignments in order to minimize operational costs. The study was conducted through a case study approach with observation, interview, and documentation techniques on four workers and four main types of work: kneading, molding, frying, and distributing cakes. Working time data was converted into costs, then analyzed using the Hungarian Method through row and column reduction steps and zero-based assignments in the matrix. . The results showed a 25% decrease in operational costs compared to the previous assignment system. The results of the analysis showed that optimal worker allocation resulted in assignments with lower total costs than the previous unstructured method. Thus, the application of the Hungarian Method has proven effective in helping MSMEs, especially home businesses, improve operational efficiency and cost savings. This study is expected to be a reference for similar business actors in managing human resources more efficiently and scientifically.
Co-Authors Apriani Syahputri Siti Izzati Sarah Siti Salamah Br Ginting Yahfizham