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Analysis of the Complexity of Heuristic Algorithms for Permutation Optimization in Large-Scale Computing Fitriasih, Sri Hariyati; Cynthia, Eka Pandu; Cynthia, Maulidania Mediawati; Cynthia, Dessy Nia; Remawati, Dwi
Jurnal Ilmu Komputer dan Teknik Informatika Vol. 2 No. 1 (2026): Januari 2026
Publisher : CV. Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/juikti.v2i1.79

Abstract

Permutation optimization is a fundamental problem in large-scale computing that arises in various applications such as scheduling, resource allocation, and combinatorial decision-making. As the size of the solution space grows exponentially, conventional optimization methods often struggle to achieve acceptable performance within reasonable computational time. Heuristic and metaheuristic algorithms have therefore become widely adopted due to their flexibility and ability to provide near-optimal solutions for NP-hard problems. However, increasing data scale significantly impacts their computational complexity, making efficiency and scalability critical concerns.This study aims to analyze the computational complexity and performance characteristics of several heuristic algorithms applied to permutation optimization in large-scale computing environments. The research employs a quantitative experimental approach combined with theoretical complexity analysis. Greedy heuristic, simulated annealing, genetic algorithm, and adaptive heuristic methods are evaluated using synthetic permutation datasets with varying sizes. Performance is assessed based on execution time, memory usage, scalability, and solution quality. The results indicate that greedy heuristics offer the fastest execution and lowest memory consumption but tend to produce suboptimal solutions due to their local search strategy. Simulated annealing improves solution quality through probabilistic exploration, while genetic algorithms achieve the highest-quality solutions at the cost of substantial computational and memory overhead. Adaptive heuristic algorithms demonstrate a balanced performance by dynamically adjusting parameters during execution, achieving near-optimal solutions with reduced computational complexity. Overall, this research highlights the trade-offs between efficiency and solution quality among heuristic algorithms and emphasizes the potential of adaptive heuristic approaches for large-scale permutation optimization. The findings provide valuable insights for designing efficient and scalable optimization algorithms suitable for real-world large-scale computing applications.
Pelatihan Digital Marketing UMKM Desa Banaran Lewat Teknologi Informasi dan Pentahelix Governance Fitriasih, Sri Hariyati; Wijayanto, Hendro; Prihanto, Prihanto; Rahmatika, Rahmatika; Fadila, Fatin; Zaenah, Eny Rahma
Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Vol 9, No 1 (2026): Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstormin
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/japhb.v9i1.9786

Abstract

Desa Banara merupakan salah satu desa di Kecamaran Grogol Kabupaten Sukoharjo  yang berbatasan langsung dengan Kota Surakarta, tepatnya Kecamatan Laweyan. Dengan letak geografis ini membuat UMKM banyak tumbuh. Akan tetapi masih banyak dari UMKM tersebut kurang begitu maksimal dalam meningkatkan potensi produknya. Teknologi informasi khususnya dibidang digital marketing sangatlah sesuai dengan keadaan saat ini. Termasuk didalamnya keterlibatan 5 unsur (pentahelix) pemerintahan, akademisi, pelaku usaha, komunitas, dan media. Pelatihan dengan kegiatan sosialisasi dan workshop pengetahuan digital marketing, packaging, serta pembuatan konten digital marketing ini sangatlah penting untuk meningkatkan perekonomian bagi UMKM. Materi tersebut disampaikan dalam tajuk sosialisasi UMKM berbasis teknologi informasi, branding kuat, marketing cepat, UMKM melesat. Kegiatan berupa sosialisasi dan workshop sederhana yang diselenggarakan pada Kamis 18 September 2025. Hasil dari kegiatan ini menunjukkan antusiasme peserta yang sangat bagus. Ini terbukti dari hasil kegiatan diperoleh bahwa terdapat peningkatan pemahaman konsep digital marketing sebesar 11%, pengenalan platform digital sebesar 14%, pengetahuan tentang strategi branding sebesar 15%, pengetahuan dan pemahaman mengenai pembuatan konten promosi sebesar 11% dan penggunaan tools digital marketing sebesar 18%. Kegiatan ini akan terus berjalan karena Desa Banaran merupakan salah satu desa binaan Universitas Tiga Serangkai. Masih terdapat potensi desa yang dapat di eksplor guna meningkatkan perekonomian masyarakat Desa Banaran. Kegiatan-kegiatan lanjutan digital marketing bagi pelaku UMKM juga masih sangat dibutuhkan