Earthquake risk in Jakarta is the intermediate category in Indonesia based on the 2010 seismic hazard map published by the Ministry of Public Works, Republic of Indonesia. It was important to know the condition of the building that would be affected by earthquake load and to prevent collapse of the building structures that could cause loss of live people in the building and the collisions between buildings. The purpose of this research was to know the ultimate performance limit of the existing X building in Jakarta. Evaluation of these building was based on guidelines SNI 03-1726-2012, SNI 03-2847-2013 and PPPURG 1987 The structure model of X building was designed and analyzed using ETABS Version 9.7.2. The result showed value of story drift was affected by dynamic response spectrum load, the maximum drift in x-direction is 68.60 mm and y-direction is 101.2 mm. The X building was declared unsafe in performance condition of the ultimate limits.

Gas karbon monoksida (CO) merupakan salah satu zat pencemar udara dalam ruangan yang memiliki sifat tak berwarna, tak berbau, dan tak berasa sehingga sulit dideteksi oleh panca indra manusia. Penelitian ini bertujuan untuk merancang-bangun sistem pemantau kualitas udara di dalam ruanga khususnya gas CO dalam ruangan secara waktu nyata dan akurat. Sistem dibangun menggunakan sensor CO berupa MQ-7, sistem pengendali utama ESP8266 AT2560 Robodyn, sensor temperatur dan kelembaban relatif udara DHT22, penanda waktu RTC, dan dashboard monitoring yang terkoneksi dengan Grafana yang telah dibangun dengan bahasa pemrograman Go-Lang untuk menerima data yang dikirimkan oleh sistem. Hasil pengujian di dalam ruangan bangunan rumah tipe-38 selama 24 jam menunjukkan bahwa kadar CO rata-rata di dalam ruangan sebesar 11ppm dan telah melebihi baku mutu yang ditetapkan oleh PERMENKES Nomor 1077/MENKES/PER/V/2011. Tingkat kenyamanan termal berada pada kondisi nyaman optimal (22.8 – 25.8°C) dengan nilai rata-rata temperatur sebesar 25.7 °C, sedangkan kelembaban relatif rata-rata sebesar 65 % berada pada kondisi diatas kelembaban yang dianjurkan (40 – 50 %). Kinerja pengiriman data menunjukkan bahwa packet loss sistem sebesar 0.83% yang termasuk dalam kategori sangat bagus.

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Mitigation of structural failure can be based on analyzing the behavioral of the structure by giving a nonlinear dynamic earthquake load of time history. Because Indonesia doesn't have any data of time history record, it is necessary to match the time history data with the design spectrum response. Gedung E Itera is modeled on reinforced concrete structures with open frame models like as built drawing. Then can be evaluated the structural behavior that is like mass participation, plastic design, displacement, rotation, and base shear with time history load that will be levelling (levelling time history). With levelling the time history load , it can be found the first structural part that collapses and the maximum load that can be retained by the structure for one of the mitigation effort. The analysis uses a nonlinear dynamic time history analysis with the most dominant combination is earthquake combination. The results of this study show structural performance, the location of structural failure, and the maximum load that can be retained by the reinforced concrete structure of gedung E Itera.

Recovery efforts following a disaster can be slow and painstaking work, and potentially put responders in harm's way. A system which helps identify defects in critical building elements (e.g., concrete columns) before responders must enter a structure can save lives. In this paper we propose a system, centered around an image based three-dimensional (3D) reconstruction method and a new 3D crack detection algorithm. The image-based method is capable of detecting and analyzing surface damages in 3D. We also demonstrate how the robotics can be used to gather the images from which the reconstruction is created, further reducing the risk to responders. In this regard, image-based 3D reconstructions represent a convenient method of creating 3D models because most robotic platforms can carry a lightweight camera payload. Additionally, the proposed 3D crack detection algorithm also provides the advantage of being able to operate on 3D mesh models regardless of their data collection source. Our experimental results show that 3D crack detection algorithm performs well constructions, successfully identifying cracks, reconstructing 3D profiles, and measuring geometrical characteristics on damaged elements and not finding any cracks on intact ones.