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All Journal ARTEKS : Jurnal Teknik Arsitektur
Jefrey I. Kindangen
Sam Ratulangi University
Civil Engineering, Building, Construction & Architecture

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Adaptation of Minahasan architectural local wisdom to thermal comfort in resorts on Bangka Island Leidy Magrid Rompas; Jefrey I. Kindangen; Valeria Theresia Woy
ARTEKS : Jurnal Teknik Arsitektur Vol 10 No 3 (2025): ARTEKS : Jurnal Teknik Arsitektur | September 2025 ~ December 2025
Publisher : Program Studi Arsitektur Fakultas Teknik Universitas Katolik Widya Mandira

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30822/arteks.v10i3.4463

Abstract

Bangka Island has challenges in tropical climate development such as limitations in the selection of efficient materials and energy, thus requiring a building concept that is adaptive to the climate. The Coral Eye Resort on Bangka Island is a building with a modern concept that adapts the local wisdom of Minahasa architecture to its building. The adaptation of traditional architecture to modern buildings is adaptive to the tropical climate because it can affect the thermal comfort of the building. This study aims to evaluate how the principles of local wisdom of Minahasa traditional architecture affect thermal comfort passively. This study uses a qualitative method with a case study approach to examine design elements such as building orientation and shape, local materials, openings, and spatial layout through observation techniques. Thermal comfort is tested through user perceptions collected through in-depth interviews, replacing the quantitative approach generally used in research related to thermal comfort. The results of the study indicate that the application of the principles of local wisdom of Minahasa traditional architecture, such as high roofs, large openings, and the use of local materials has an impact on increasing thermal comfort felt by users. The findings of this study provide insight into the implications of the theory of adaptation of Minahasa Traditional Architecture to thermal comfort in the context of modern buildings in coastal areas.
Modeling the distribution of settlements on slope gradients based on GIS in Manado city Rieneke Lusia Evani Sela; Jefrey I. Kindangen; Andy Anton Mangopa Malik; Erlangga Nonto
ARTEKS : Jurnal Teknik Arsitektur Vol 11 No 1 (2026): ARTEKS : Jurnal Teknik Arsitektur | January 2026 ~ March 2026
Publisher : Program Studi Arsitektur Fakultas Teknik Universitas Katolik Widya Mandira

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30822/arteks.v11i1.4474

Abstract

Manado City is experiencing rapid population growth, with an annual increase of 1.48% and a population density reaching 2,948 people/km² as of 2024. Due to the city’s predominantly hilly topography, residential expansion has increasingly shifted toward sloped areas. This study aims to analyze the spatial distribution of residential settlements on sloped terrain using the Average Nearest Neighbor (ANN) method and to evaluate land suitability through Weighted Overlay Analysis (WOA) within a Geographic Information System (GIS) framework. Parameters for WOA include topography, slope gradient, disaster risk, and land-use zoning based on the 2023–2042 Regional Spatial Plan (RTRW) of Manado. The GIS-based analysis, conducted using ArcGIS 10.8 and ArcScene, reveals that settlements are concentrated on slopes with gradients of 25–40% and >40%, covering 163.78 hectares. The densest clusters occur in Wanea and Malalayang Districts. WOA results indicate that Wanea has a larger landslide-prone area (39.53 ha) compared to Malalayang, necessitating risk-sensitive planning. Spatial conformity analysis highlights misalignment between current residential land use and the official RTRW. A spatial planning model was proposed for Karombasan Selatan Subdistrict, integrating terraced housing design, optimal building orientation, and conservation zoning for slopes above 40%. This study contributes to sustainable urban development strategies in hilly urban environments through GIS-based decision support.
Co-Authors Andy Anton Mangopa Malik Erlangga Nonto Leidy Magrid Rompas Rieneke Lusia Evani Sela Valeria Theresia Woy