Glued-laminated bamboo has been widely used to substitute timber as a building material. This material classified as a viscoelastic material because it exhibiting properties that are common to both solid and liquid. Under long-term constant loading, the glued-laminated bamboo structures will experience creep deformation. The mechanical, power law and finite element models are common methods that used to predict the creep for viscoelastic material, some of them have advantages and disadvantages. In this manuscript, modelling of long-term creep is reviewed. The fundamental concepts of creep modelling, the influence of variable load level, and humidity were discussed to develop for computational applications. By using FEA program, a subroutine has been developed by previous researchers to accommodate the effect of orthotropic properties. In the future, the subroutine will be used and developed for numerical creep analysis of glued-laminated bamboo.
The advantages of using self-compacting concrete (SCC) are reducing the time of construction and the number of employments, reducing noise that can disturb the surrounding environment, and increasing the density of hardened concrete structural elements, automatically affecting bond strength reinforcement in SCC. The bond strength is a parameter as an essential factor affecting the behavior of reinforced concrete. In this manuscript, the Adaptive Neuro-Fuzzy Inference System (ANFIS) model was built to predict the bond strength in SCC. For showing the performance of the ANFIS model, the level of accuracy-based correlation coefficient (R 2 ) and Root Mean Square Error (RMSE) were determined. Learning process data consists of input and output. The input in this study includes compressive strength of concrete (f' c ), the diameter of steel reinforcement (d b ), and development of length (L d ), while the output bond strength (τ). The results of the proposed model were in good agreement with the experimental results, as evidenced by an R 2 of 0.71 and an RMSE of 3.31 MPa in the testing data, indicating that the proposed ANFIS model is capable of accurately predicting steel reinforcement bond strength in SCC.
Desa Teros merupakan salah satu desa yang terletak di Kabupaten Lombok Timur, tepatnya di Kecamatan Labuhan Haji, pun ikut menjadi sasaran pemerintah dalam upaya pencegahan dan penekanan angka stunting. Kabupaten Lombok Timur juga tak luput dari perhatian mengingat jumlah penduduknya yang cukup padat dan tingkat kesadaran masyarakat terhadap isu stunting ini relatif rendah. Perlu diketahui stunting adalah kondisi gagal tumbuh pada anak balita (bayi dibawah 5 tahun) akibat dari kekurangan gizi kronis sehingga anak terlalu pendek untuk usianya. Kekurangan gizi terjadi sejak bayi dalam kandungan pada masa awal setelah bayi lahir, akan tetapi kondisi stunting baru nampak setelah bayi berusia 2 tahun. Kondisi gagal tumbuh tersebut kemudian dapat mengakibatkan berbagai gangguan kesehatan baik jangka pendek maupun jangka panjang. Salah satu contohnya akan berimbas pada IQ anak. Dengan demikian dapat dicermati bahwa dampak yang ditimbulkan oleh stunting akan memberikan pengaruh untuk anak seperti menurunkan keoptimalan kognitif, motorik dan kesehatan yang berimbas pada kapasitas dan kemampuan anak dalam menyerap pelajaran di sekolah kemudian mempengaruhi produktivitas dan kemampuannya saat dewasa. Berdasarkan tujuan-tujuan dari program Pemerintah Daerah, serta melihat tingginya tingkat stunting di Kabupaten Lombok Timur, kegiatan ini dimaksudkan untuk membantu instrumen-instrumen Desa Teros terkait seperti Tokoh Agama, Tokoh masyarakat, Pemerintah Desa, Pembinaan Kesejahteraan Keluarga (PKK), Kader Posyandu, Bidan Desa, Karang Taruna serta masyarakat pada umumnya untuk menekan angka stunting di Desa Teros, Kecamatan Labuhan Haji, Kabupaten Lombok Timur melalui pelaksanaan sosialisasi- sosialisasi yang tujuannya untuk meningkatkan kesadaran masyarakat
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