Electronic Theses and Dissertation

Kota Banda Aceh merupakan wilayah dengan tingkat kerawanan seismik yang tinggi karena berada pada zona tektonik aktif dan didukung oleh kondisi geologi lokal yang berpotensi memperkuat amplifikasi gelombang gempa. Kondisi ini menjadikan evaluasi kapasitas struktur bangunan fasilitas kesehatan penting dilakukan, mengingat fasilitas kesehatan dituntut tetap dapat berfungsi setelah gempa terjadi. Untuk mempermudah evaluasi kapasitas struktur, penelitian ini menggunakan pendekatan bangunan tipikal puskesmas di Kota Banda Aceh serta mengembangkan sistem otomasi analisis pushover berbasis integrasi Python, SAP2000, dan Open Application Programming Interface guna menghasilkan kurva kapasitas struktur secara lebih efisien. Data primer diperoleh melalui metode Rapid Visual Screening pada 11 puskesmas, kemudian diolah menggunakan analisis frekuensi terbanyak untuk menentukan bangunan tipikal sebagai representasi karakteristik dominan bangunan puskesmas di wilayah studi. Hasil penelitian menunjukkan bahwa bangunan tipikal adalah bangunan dua lantai, dengan tinggi lantai 3,5 m, 8 bentang arah X dengan jarak 4 m, 4 bentang arah Y dengan jarak 3 m, dimensi balok 25/40 cm, dimensi kolom 30/30 cm, mutu beton sekitar 21 MPa, dan mutu baja tulangan BjTS 420. Sistem otomasi yang dikembangkan berhasil membentuk model struktur, mengatur pembebanan, menjalankan analisis, dan mengekstraksi data kurva kapasitas secara sistematis, namun masih memiliki keterbatasan pada tahap pembentukan plastic hinge yang belum dapat dilakukan secara otomatis. Validasi menggunakan Normalized Root Mean Square Error (NRMSE) menunjukkan bahwa hasil otomasi memiliki tingkat kesesuaian yang bervariasi, dengan performa sangat baik seperti Puskesmas Banda Raya, tetapi masih menunjukkan penyimpangan yang besar pada bangunan dengan karakteristik yang lebih berbeda dari model tipikal, terutama Puskesmas Batoh. Secara keseluruhan sistem otomasi ini dapat mempermudah analisis kapasitas struktur untuk pendekatan cepat berbasis bangunan tipikal, namun tetap memerlukan pengembangan lebih lanjut.

Kata kunci: rapid visual screening, bangunan tipikal, analisis pushover, python, SAP2000, NRMSE.

Banda Aceh is a region with a high level of seismic hazard due to its location in an active tectonic zone and the presence of local geological conditions that may amplify earthquake ground motions. This condition highlights the importance of evaluating the structural capacity of healthcare facilities, as these buildings are expected to remain functional after an earthquake. To facilitate structural capacity evaluation, this study adopted a typical public health center building approach in Banda Aceh and developed an automated pushover analysis system based on the integration of Python, SAP2000, and the Open Application Programming Interface to generate structural capacity curves more efficiently. Primary data were collected through the Rapid Visual Screening method at 11 public health centers and were then processed using frequency analysis to determine the typical building, which represents the dominant characteristics of public health center buildings in the study area. The results showed that the typical building is a two-story structure with a floor height of 3.5 m, 8 spans in the X direction at 4 m spacing, and 4 spans in the Y direction at 3 m spacing, with beam dimensions of 25/40 cm, column dimensions of 30/30 cm, concrete compressive strength of approximately 21 MPa, and reinforcing steel strength of BjTS 420. The developed automation system was able to generate the structural model, assign loads, run the analysis, and systematically extract capacity curve data. However, it still has limitations in the definition of plastic hinges, which could not yet be performed automatically. Validation using the Normalized Root Mean Square Error (NRMSE) indicated that the automation results showed varying levels of agreement, with very good performance for buildings such as Banda Raya Public Health Center, but still significant deviations for buildings with characteristics that differ more substantially from the typical model, particularly Batoh Public Health Center. Overall, the developed automation system can support structural capacity analysis for rapid assessment based on typical buildings, although further development is still required. Keywords: rapid visual screening, typical building, pushover analysis, python, SAP2000, NRMSE.