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All Journal Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara) Ittishal Educational Research Journal JURNAL REKAYASA INFORMASI SWADHARMA (JRIS) Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) Bengawan :Jurnal Pengabdian Masyarakat Jurnal Pengabdian Masyarakat Teknologi dan Pendidikan (MANTAP) Jurnal Ilmu Komputer dan Teknik Informatika
Sri Hariyati Fitriasih, Sri Hariyati
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Religion Arts Humanities Automotive Engineering Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Other

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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
Implementation of GeoGebra Web in Geometry Learning to Improve Students' Understanding of Hybrid-Based Concepts Hendry, Hendry; Supiyandi, Supiyandi; Arifin, Dafrid Cahyadi; Triana, Yaya Sudarya; Fitriasih, Sri Hariyati
JURIBMAS : Jurnal Hasil Pengabdian Masyarakat Vol 5 No 1 (2026): Juli 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juribmas.v5i1.1010

Abstract

The limited conceptual understanding of geometry among students remains a significant challenge, particularly due to the lack of interactive learning tools and ineffective integration of digital technology in classroom practices. This community service program aims to implement web-based GeoGebra within a hybrid learning environment to enhance students’ conceptual understanding of geometry. The method employed a participatory and implementation-based approach involving 32 junior high school students and 2 mathematics teachers. The program was conducted through four stages: preliminary study, program design, implementation, and evaluation. Data were collected using pre-test and post-test assessments, questionnaires, and observation sheets. Quantitative analysis was performed using percentage gain and regression analysis, while qualitative data supported behavioral evaluation. The results show a significant improvement in students’ conceptual understanding, with an average score increase from 56.25 to 82.40 and a gain of 65.38%, categorized as moderate-to-high. Furthermore, 81% of students achieved the targeted level of improvement, and student engagement reached 87.6%, exceeding the success indicator threshold. Regression analysis indicated a strong positive relationship (R² = 0.68), suggesting the intervention's effectiveness across different ability levels. In addition, the program positively influenced students’ learning behavior and provided a cost-effective solution by using open-source technology. These findings indicate that integrating GeoGebra into a hybrid learning model is an effective and scalable approach to improving geometry learning outcomes. This program also contributes to the development of sustainable, technology-enhanced educational practices in community service contexts.
Co-Authors Cynthia, Dessy Nia Cynthia, Maulidania Mediawati Dafrid Cahyadi Arifin Dwi Remawati Effendi, Rohmat Irvan Eka Pandu Cynthia FADILA, FATIN Falentina, Fora Hendry kantona, riki kantona Kumaratih Sandradewi Maulita, Yunia Rahma Nugroho, Fareza Aditiyanto paulus harsadi Prihanto Prihanto, Prihanto Putro, Bagus Cahyo Raharja, Bayu Dwi Rahmatika, Rahmatika Supiyandi Supiyandi Tri Irawati, Tri Wijayanto, Hendro Yaya Sudarya Triana Zaenah, Eny Rahma