Pemberian Pelayanan Jasa Kepada Masyarakat: Desain Goa Maria Gereja St. Mikhael, Kampung Kweel, Merauke

ABSTRACT Prayer activities, specifically for Catholics, are carried out through the Virgin Mary at a certain pilgrimage area. The Catholic Church of St. Michael in Kweel Village has a problem in planning for the construction of Maria Cave. As a form of Higher Education Tri Dharma, activities are carried out to provide cave design services along with the preparation of Budget and Cost Plans (RAB). The methods of implementing the activities include site/site data collection, analysis, drafting of design concepts, drawings, and ending with the making of the RAB. The result of the activity is the design of a Maria Cave measuring 8 X 5 m without roofing with geometric shapes consisting of public and private zones with the concept of utility lighting and resulting in building cost calculation with a value of Rp. 42,900,000. Keywords: Pilgrimage; Orison; Catholic Christianity ABSTRAK Kegiatan-kegiatan doa secara khusus bagi umat katolik adalah dengan melalui perantara Bunda Maria, pada suatu kawasan ziarah. Gereja Katolik St. Mikhael di Kampung Kweel memiliki permasalahan dalam perencanaan pembangunan Goa Maria. Sebagai salah satu bentuk Tri Dharma Perguruan Tinggi, maka dilakukan kegiatan pemberian pelayanan jasa desain goa dan penyusunan Rencana Anggaran dan Biaya (RAB). Metode pelaksanaan kegiatan meliputi: pengumpulan data site/tapak, analisis, penyusunan konsep desain, drawing, dan diakhiri dengan pembuatan RAB. Hasil kegiatan adalah desain suatu bangunan Goa Maria berukuran 8 X 5 m tanpa pernanungan dengan bentuk geometris yang terdiri atas zona publik dan privat dengan konsep utilitas pencahayaan lampu dan juga menghasilkan perhitungan biaya pembangunan goa maria dengan nilai bangunan adalah Rp. 42.900.000. Kata kunci: Ziarah; Doa; Kristen Katolik

Study on Key Cost Drivers of Prefabricated Buildings Based on System Dynamics

The prefabricated building as a major initiative has been put forward by China in recent years to promote the transformation and upgrading of the construction industry, but its rapid development also faces high cost constraints. Therefore, it is necessary and urgent to study the key cost drivers and cost control paths of prefabricated buildings. Most of the current research focuses on the construction cost of prefabricated building as a static object. This article, on the other hand, regards the construction cost of prefabricated building as a dynamic formation process and conducts systematic research from product systems, technical systems, construction processes, and management modes. The influence factors of prefabricated building cost are defined and screened with the help of HSM and previous research results. A cause-and-effect model and cost control model of prefabricated building cost driver are established. Based on the model test of the actual project, the cost generation of prefabricated buildings is simulated. Through sensitivity analysis, key cost drivers of prefabricated building are identified and ranked as degree of design standardization, unit price, prefabrication rate, information technology level, transportation mode, labor level, machinery level, transportation distance, etc. Accordingly, corresponding strategies are proposed for the cost control of prefabricated buildings.

Modelling Residential Building Costs in New Zealand: A Time-Series Transfer Function Approach

Cost estimating based on a building cost index plays an important role in project planning and cost management by providing accurate cost information. However, an effective method to predict the building cost index of New Zealand is lacking. This study proposes a transfer function method to improve the forecasting accuracy of the building cost index. In this study, the New Zealand house price index is included in the transfer function models as an explanatory variable to produce cost forecasts. The proposed method is used to estimate the building cost index of residential buildings including one-story houses, two-story houses, and town houses in New Zealand. To demonstrate the effectiveness of the proposed method, this study compares the cost forecasts generated from the transfer function models and the autoregressive integrated moving average (ARIMA) models. The results indicate that the proposed transfer function method can achieve better outcomes than ARIMA models by considering the time-lag causality between building costs and New Zealand house prices. The proposed method can be used by industry professionals as a practical tool to predict project costs and help the professionals to better capture the inherent relationships between cost and house prices.

Estimation of construction project building cost by back-propagation neural network

Purpose Building cost is an important part of construction projects, and its correct estimation has important guiding significance for the follow-up decision-making of construction units. Design/methodology/approach This study focused on the application of back-propagation (BP) neural network in the estimation of building cost. First, the influencing factors of building cost were analyzed. Six factors were selected as input of the estimation model. Then, a BP neural network estimation model was established and trained by ten samples. Findings According to the experimental results, it was found that the estimation model converged at about 85 times; compared with radial basis function (RBF), the estimation accuracy of the model was higher, and the average error was 5.54 per cent, showing a good reliability in cost estimation. Originality/value The results of this study provide a reliable basis for investment decision-making in the construction industry and also contribute to the further application of BP neural network in cost estimation.