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All Journal Rekayasa Sipil Jurnal Pensil : Pendidikan Teknik Sipil
Ariani, Meisy
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Civil Engineering, Building, Construction & Architecture Education Other

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Spatial Analysis of Supporting Infrastructure for Coastal Tourism Areas in Province of the Special Region of Yogyakarta Ariani, Meisy; Nursetiawan; Novendri Darimolyo, Priyo
Rekayasa Sipil Vol. 20 No. 1 (2026): Rekayasa Sipil Vol. 20 No. 1
Publisher : Department of Civil Engineering, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.rekayasasipil.2026.020.01.14

Abstract

Tourism has become one of the strategic drivers of regional economic growth, particularly in areas with coastal potential. As a sector that integrates multiple economic activities, tourism not only generates foreign exchange but also stimulates trade, transportation, and the development of the creative industry. This study focuses on coastal tourism areas in the Special Region of Yogyakarta. It aims to: (1) compile an inventory of coastal facilities and infrastructure (MSP), (2) analyze the spatial distribution of coastal locations (ASP), (3) assess the relationship between facility availability and visitor numbers (AFP), and (4) evaluate the accessibility of key facilities to strategic points across tourism corridors (FPL). The field inventory identified 67 facility units across beaches in Bantul and 41 units in Kulon Progo, with notable disparities in availability and service quality. Spatial analysis using ArcGIS indicates that 62% of facilities are concentrated in Bantul, an area with higher accessibility and closer proximity to the urban center, while Kulon Progo accounts for only 38%. The AFP assessment further shows a moderate positive correlation (r = 0.54) between facility completeness and visitor volume, suggesting that areas with better infrastructure tend to attract more tourists. Overall, the findings highlight the uneven distribution of coastal tourism support facilities, underscoring the need for more equitable infrastructure planning and targeted spatial development policies.
ARTIFICIAL INTELLIGENCE IN BUILDING CONDITION MONITORING FOR MAINTENANCE AND RESILIENCE ENHANCEMENT: A BIBLIOMETRIC REVIEW OF THE LAST DECADE Ariani, Meisy; Zaki, Ahmad; Nugroho, Guntur
Jurnal Pensil : Pendidikan Teknik Sipil Vol. 15 No. 1 (2026): Jurnal Pensil : Pendidikan Teknik Sipil
Publisher : LPPM Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jpensil.v15i1.61201

Abstract

In past years, a variety of methods for monitoring the condition of concrete structures have been researched and widely used, including the application of artificial intelligence (AI). AI is increasingly popular in building monitoring and has shown excellent progress over time. This article provides a detailed bibliometric and scientometric overview of  “Artificial Intelligence in Building Condition Monitoring” using data from Scopus over the last decade (2014–2024), supported by VOS Viewer software. This analysis found 222 relevant documents, which were mostly journal articles, with the most publications appearing in 2022. America and China are the countries that contribute the most to this field of research. The visualization results reveal five clusters related to AI applications in building condition monitoring, with the main topics being “condition monitoring” and “machine learning.” Research trends show an increasing focus on integrating AI with other advanced technologies to improve monitoring systems and apply these innovations in various types of buildings.
Co-Authors Ahmad Zaki Novendri Darimolyo, Priyo Nugroho, Guntur Nursetiawan