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All Journal Katalis Pendidikan: Jurnal Ilmu Pendidikan dan Matematika Konstanta : Jurnal Matematika dan Ilmu Pengelatuan Alam
Siti Izzati Sarah
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Biochemistry, Genetics & Molecular Biology Chemistry Earth & Planetary Sciences Education Immunology & microbiology Mathematics Other

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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.
Optimisasi Algoritma Pemrograman Untuk Pengolahan Data Besar Siti Izzati Sarah; Yahfizham Yahfizham
Konstanta : Jurnal Matematika dan Ilmu Pengetahuan Alam Vol. 2 No. 1 (2024): Maret : Jurnal Matematika dan Ilmu Pengetahuan Alam
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/konstanta.v2i1.2444

Abstract

Big data processing has become an important aspect of computer science and various industries in the digital age. Efficient and timely programming algorithms play a central role in addressing the challenges presented by big data. This journal focuses on various optimization methods and techniques that can be applied in the development of programming algorithms for processing big data. Supporting and relevant references are used to illustrate the concepts and techniques presented in this paper. Discussions include parallel methods, data compression, indexing, divide and conquer strategies, and greedy algorithm approaches. Case studies on the implementation of fast sorting algorithms in the context of big data processing are also presented. The understanding and application of these optimization methods are important in maximizing the efficiency and performance of programming algorithms in dealing with big data, and they play a key role in the development of relevant information technology solutions.
Co-Authors Apriani Syahputri Fadilah Aulia Siti Salamah Br Ginting yahfizham yahfizham