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JoDA Journal of Digital Architecture
Published by Universitas Katolik Soegijapranata
ISSN : -     EISSN : 27986896     DOI : 10.24167/joda.v1i1.3698
Core Subject : Science, Engineering,
Civil Engineering, Building, Construction & Architecture Engineering Neuroscience
Tujuan dari Jurnal ini adalah untuk mengembangkan keilmuan dalam riset arsuitektur digital yang saat ini mulai berkembang dengan pesat. SCOPE JoDA “Journal of Digital Architecture” mencakup kajian: 1. Desain Arsitektur Digital 2, Kajian Pemukiman dan Perkotaan dengan Software Komputer dan pendekatan pemikiran digital 3. Struktur dan Konstruksi dalam perkembangan teknologi robot dan Software digital 4. Kajian pengembangan Bahan Bangunan dengan pendataan dan analisis software digital 5. Kajian Metode, Teori, Kritik dan Sejarah Arsitektur yang dikemas dalam software komputer atau melibatkan software komputer dalam analisisnya Artikel yang disajikan belum pernah diterbitkan di dalam jurnal manapun, dan diharapkan dapat menjembatani pemikiran–pemikiran yang terkait dengan Arsitektur Digital.
Arjuna Subject : Teknik (semua kategori) - Arsitektur
Articles 72 Documents
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HEAT TRANSFER AS A DETERMINING FACTOR IN THE THERMAL PERFORMANCE OF SEMARANG CATHEDRAL Sulastri Mahmudi; Safitri N.A
JoDA Journal of Digital Architecture Vol 5, No 2: Maret 2026
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24167/joda.v5i2.15102

Abstract

Semarang Cathedral is a historic building that increasingly faces challenges in maintaining thermal efficiency amid climate change and rapid urbanization. This study aims to examine the role of heat transfer as a key factor in shaping the thermal performance of buildings using a quantitative approach. Both experimental and numerical methods were employed, involving direct measurements of the surface temperature, relative humidity, and solar radiation intensity across three primary spatial zones: the nave, transept, and altar. Field data were recorded over a 30-day monitoring period using a MAX6675 K-type thermocouple temperature sensor and an LR8432 heat flow logger, with measurements taken at 10-minute intervals. The heat transfer mechanisms, namely conduction, convection, and radiation, were evaluated using Fourier’s law and Nusselt number correlations to estimate the overall heat transfer coefficient. The analysis shows that the plastered brick walls exhibit an average thermal conductivity of 0.65 W/m·K and contribute to a reduction in indoor air temperature of approximately 18.3% relative to outdoor conditions. These results indicate that wall material characteristics and thickness play a decisive role in maintaining the thermal stability within a building. The findings of this study provide a quantitative basis for formulating energy conservation strategies for historic buildings in tropical climates.
PYTHON-BASED PARAMETRIC DESIGN FRAMEWORK FOR SUSTAINABLE ARCHITECTURE Evan A.P; Ricardo B.P.
JoDA Journal of Digital Architecture Vol 5, No 2: Maret 2026
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24167/joda.v5i2.15103

Abstract

The advancement of computational technology in architecture has led to the emergence of parametric design methods that enable a more adaptive, efficient, and measurable design process. Within the framework of sustainable architecture, such approaches hold significant potential to optimize thermal comfort, natural lighting, and building energy efficiency—particularly in tropical climates. This study aims to develop a Python-based parametric design framework that functions as a decision-support tool for sustainable architectural design. The research method consists of a literature review, the development of parametric scripts in Python integrated with design software such as Rhinoceros–Grasshopper, and performance simulations based on actual climatic data. Evaluation was carried out by analyzing the simulation outcomes across several design variables, including building orientation, roof geometry, and window configuration. The results indicate that the proposed framework provides flexible design responses according to environmental parameters and achieves an energy efficiency improvement of up to 25% compared with conventional design methods. Moreover, the system facilitates the design iteration process and assists architects in making data-driven design decisions. In conclusion, the Python-based parametric approach presented in this study offers an effective solution to advance sustainable architectural practice in the future.

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