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This Author published in this journals
All Journal Journal of Sustainable Business Hub (JSBH) Advance Sustainable Science, Engineering and Technology (ASSET)
Luki Safriana
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Religion Arts Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Transportation

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Dampak Stay at Home dan Social Distancing terhadap Kelangsungan Kesenian Sunda Sisingaan di Cimahi Luki Safriana; Drajat Sulistiyono
Journal of Sustainable Business Hub Vol. 1 No. 2 (2020): Journal of Sustainable Business Hub
Publisher : Perkumpulan Dosen Manajemen Indonesia

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Abstract

Stay at home, social distancing and continuity of Sundanese Sundanese art in the Cimahi area. The purpose of this research is to find out and analyze stay at home, social distancing has an influence on the continuity of art in the Cimahi region. The results of the study describe the simultaneous test Y = 11,206 - 0,298 X1 + 0,091 X2. From the problems above where stay at home and social distancing are very influential, then the Cimahi city government should eliminate stay from home and social distancing when the corona virus pandemic is over, given the continuity of the arts Sunda sisingaan in the Cimahi area will be destroyed and extinct, due to not getting money to finance their activities.
Narrative-Driven Optimization for Sustainable Museum Networks: Integrating Freytag’s Pyramid and Hybrid PSO-Machine Learning Framework Luki Safriana; Nurhayati; Widiyani; Didik Suharjito
Advance Sustainable Science Engineering and Technology Vol. 7 No. 4 (2025): August-October
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v7i4.1954

Abstract

This study addresses sustainable urban heritage management needs through an AI-optimized methodology for Government-Museum networks. Integrating dramaturgical storytelling with computational intelligence, we develop a framework combining Freytag's Pyramid narrative framework with a hybrid Particle Swarm Optimization (PSO)-Machine Learning (ML) model. This sustainability-driven design aligns spatial routing with low-carbon objectives and thematic continuity, enhancing tourist itineraries while reducing environmental impact. Our model integrates GIS analysis of museum connectivity, accessibility criteria, and emissions indicators. Validated via Orange ML, the PSO-ML model achieves route optimization by minimizing distance, time, and CO₂ emissions. Results demonstrate significantly reduced travel distances/emissions and improved narrative coherence. The paradigm advances geographical justice, operational efficiency, and AI-mobility systems in promoting urban sustainability.
Co-Authors Didik Suharjito Drajat Sulistiyono Nurhayati Widiyani