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All Journal Journal of Computer Networks, Architecture and High Performance Computing Jurnal Inovasi Global
Herdiana, I Kayan
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Astronomy Computer Science & IT Education Engineering Languange, Linguistic, Communication & Media Mathematics Public Health Social Sciences

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Optimization of Adaptive Genetic Algorithm Parameters in Traveling Salesman Problem Herdiana, I Kayan; Candiasa, I Made; Indrawan, Gede
Journal of Computer Networks, Architecture and High Performance Computing Vol. 4 No. 2 (2022): Article Research Volume 4 Number 2, July 2022
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v4i2.1581

Abstract

The TSP problem is one where a seller visits multiple destinations at the same time and they are only allowed to visit once. The purpose of this TSP is to shorten the shortest distance, thereby minimizing time and cost. There are various methods to solve the TSP problem, including greedy algorithm, brute force algorithm, hill climbing method, ant algorithm, and genetic algorithm. Each process in a genetic algorithm is affected by several parameters, including population size, maximum generation, crossover rate, and mutation rate. The purpose of this study is to apply genetic algorithms to the traveling salesman problem optimization, calculate the maximum influence of generation, chromosome number, crossover rate and mutation rate on the optimal genetic algorithm, calculate the range of chromosome number, population size, crossover rate and mutation rate for genetic algorithm in the traveling salesman problem and calculate the effect of adaptive genetic algorithm parameters on genetic algorithm results. Based on the results obtained from research and testing, the four parameters of the genetic algorithm are positively correlated with fitness results while negatively correlated with execution time performance where each adaptive parameter applied provides more optimal fitness results than static parameters. The four adaptive parameters that are applied together give optimal results, both fitness which reaches 1.0% and time reaches 38.7%.
Optimalisasi Manajemen Konten Digital Berbasis Wordpress untuk Branding UMKM Herdiana, I Kayan; Bumi Krismentari, Ni Kadek; Hendika Permana, I Putu; Kusuma Wijaya, Bagus; Ayu Nirwana, Ni Kadek
Jurnal Inovasi Global Vol. 3 No. 7 (2025): Jurnal Inovasi Global
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jig.v3i7.369

Abstract

Usaha Mikro, Kecil, dan Menengah (UMKM) memiliki peran vital dalamperekonomian Indonesia, namun masih banyak yang menghadapi kendala dalammembangun citra merek secara digital. Salah satu tantangan utama adalah keterbatasanpemahaman dalam pengelolaan konten digital yang konsisten dan terarah. Penelitian inibertujuan untuk mengoptimalkan manajemen konten digital berbasis WordPress gunameningkatkan branding UMKM, dengan studi kasus pada Keris Art Shop. Metode yangdigunakan adalah penelitian terapan dengan pendekatan kualitatif-deskriptif yangdilaksanakan dalam empat tahapan utama, yaitu: identifikasi dan analisis kebutuhankonten, perancangan sistem manajemen konten berbasis WordPress, implementasi danpelatihan pengelolaan, serta evaluasi terhadap efektivitas branding digital. Hasilpenelitian menunjukkan bahwa penggunaan WordPress sebagai platform pengelolaankonten memberikan dampak signifikan terhadap peningkatan visibilitas usaha secaradaring. Setelah implementasi sistem, trafik situs meningkat sebesar ±220% dalam waktutiga bulan, diikuti oleh meningkatnya interaksi pengguna dan persepsi positif terhadapmerek. Pelaku UMKM juga menunjukkan peningkatan kompetensi dalam pengelolaankonten digital secara mandiri. Luaran yang dihasilkan mencakup website aktif, panduanpengelolaan konten, pelatihan teknis, dan artikel ilmiah. Temuan ini menunjukkanbahwa strategi digital berbasis WordPress dapat menjadi model efektif dan replikatifuntuk meningkatkan branding UMKM di era transformasi digital.
Co-Authors Ayu Nirwana, Ni Kadek Gede Indrawan I Made Candiasa I Putu Hendika Permana Krismentari, Ni Kadek Bumi Kusuma Wijaya, Bagus