MENGGAMBAR TEKNIK KONSTRUKSI KAYU: AutoCAD 2D dan 3D

Authors

Andrew Stefano
Politeknik Pertanian Negeri Samarinda
Fathiah
Politeknik Pertanian Negeri Samarinda

Synopsis

Puji dan syukur kami panjatkan kepada Tuhan Yang Maha Esa, telah melimpahkan karunia, rahmat, dan hidayah sehingga penulis dapat menyelesaikan modul buku ajar dengan baik.

Buku ajar ini merupakan acuan kegiatan belajar dan mengajar mahasiswa program studi D4 Rekayasa Kayu Politeknik Pertanian Negeri Samarinda. Buku ajar ini akan digunakan mahasiswa sebagai pegangan dalam proses belajar mengajar sesuai kompetensi. Buku ajar ini disusun berdasarkan kurikulum dengan tujuan agar mahasiswa dapat memiliki pengetahuan, sikap, dan keterampilan di bidang bangunan melalui belajar secara mandiri.

Proses pembelajaran buku ajar ini menggunakan ilmu pengetahuan sebagai penggerak dan menuntun mahasiswa untuk mencari tahu bukan diberitahu. Proses pembelajaran meningkatkan kemampuan bahasa sebagai alat komunikasi, berpikir logis, sistematis, kreatif, memungkinkan mahasiswa belajar sesuai dengan kompetensi inti (KI) dan kompetensi dasar (KD). Bahan buku ajar ini dapat mengukur kemampuan mahasiswa melalui penyelesaian tugas, latihan dan evaluasi.

Bahan buku ajar ini diharapkan menjadi pegangan mahasiswa meningkatkan kompetensi keahlian.

Author Biographies

Andrew Stefano, Politeknik Pertanian Negeri Samarinda

Andrew Stefano, ST., MT.Arch adalah seorang pengajar perencanaan arsitektur, perencanaan pengembangan wilayah, menggambar teknik, pengantara arsitektur, komunikasi arsitektur dan ilmu ukur tanah. Beliau sebagai dosen tetap di Program Studi Teknologi Geomatika sejak tahun 2009 hingga sekarang dan dosen luar biasa di Program Studi Teknik Arsitektur Universitas Nahdlatul Ulama Kalimantan Timur sejak tahun 2015 hingga sekarang. Ruang lingkup keilmuan perencanaan bangunan 2D dan 3D, animasi, pengukuran, rancang bangun, penulis buku “Cara Mudah Menggunakan AutoCAD Untuk Semua Versi dan Bidang Ilmu”, “Ilmu Ukur Tanah I”, dan “Furniture”.

Ayahnya adalah H. Tasrif Oermar, B.Sc. dan ibunya Asmiyarti (alm). Istrinya adalah Dr. Sri Endayani, S.Hut., MP., seorang kehutanan, penulis dan staf pengajar Program Studi Kehutanan Fakultas Pertanian Universitas 17 Agustus 1945 Samarinda. 

Fathiah, Politeknik Pertanian Negeri Samarinda

Ir. Fathiah. MP. Lahir Samarinda, 20 Agustus 1959. Pendidikan Tinggi S1 lulus tahun 1986 dan S2 lulus tahun 2008 di Fakultas Kehutanan Universitas Mulawarman. Memulai karier di Politeknik Pertanian Negeri Samarinda pada tahun 1994 hingga sekarang sebagai staf pengajar di Program Studi Pengelolaan Hutan dan menjabat sebagai Kepala Sosial Ekonomi tahun 2016-2018 dan sebagai Kepala Laboratorium Perencanaan Hutan Politeknik Pertanian Negeri Samarinda sejak 2018 hingga 2021. Penulis buku ajar “Penyuluhan Hutan” tahun 2019, “Manajemen Hutan” tahun 2021.

Ayahnya adalah H. Abdul Galib Karim (alm.) dan ibunya Hj. Fatimah.

References

Abdelhafiz, A., Balabel, A., Alwetaishi, M., Shamseldin, A., Issa, U., Sharaky, I., Al-surf, M., & Al-harthi, M. (2022). An innovative approach to check buildings insulation efficiency using thermal cameras. Ain Shams Engineering Journal, 13(5), 101740. https://doi.org/10.1016/j.asej.2022.101740

Abzal, A., Saadatseresht, M., Varshosaz, M., & Remondino, F. (2020). Development of an automatic map drawing system for ancient bas-reliefs. Journal of Cultural Heritage, 45, 204–214. https://doi.org/10.1016/j.culher.2020.03.009

Angelo, L. D., Hajdukiewicz, M., Seri, F., & Keane, M. M. (2022). A novel BIM-based process workflow for building retrofit. Journal of Building Engineering, 50(February), 104163. https://doi.org/10.1016/j.jobe.2022.104163

Cang, Y., Luo, Z., Yang, L., & Han, B. (2020). A new method for calculating the embodied carbon emissions from buildings in schematic design : Taking “ building element ” as basic unit. Building and Environment, 185(September), 107306. https://doi.org/10.1016/j.buildenv.2020.107306

Carbonell-carrera, C., Jaeger, A. J., Saorín, J. L., Meli, D., & Torre-cantero, J. De. (2021). Minecraft as a block building approach for developing spatial skills ☆. 38(November 2019). https://doi.org/10.1016/j.entcom.2021.100427

Chae, J., Hwang, S., Seo, W., & Kang, Y. (2021). Automation in Construction Relationship between rework of engineering drawing tasks and stress level measured from physiological signals. Automation in Construction, 124(August 2020), 103560. https://doi.org/10.1016/j.autcon.2021.103560

Chen, L., Yuan, R., Ji, X., Lu, X., Xiao, J., Tao, J., Kang, X., Li, X., He, Z., Quan, S., & Jiang, L. (2021). Automation in Construction Modular composite building in urgent emergency engineering projects : A case study of accelerated design and construction of Wuhan Thunder God Mountain / Leishenshan hospital to COVID-19 pandemic. Automation in Construction, 124(May 2020), 103555. https://doi.org/10.1016/j.autcon.2021.103555

Chi, N., Wang, J., Liao, J., Cheng, W., & Chen, C. (2020). Automation in Construction Machine learning-based seismic capability evaluation for school buildings. Automation in Construction, 118(May), 103274. https://doi.org/10.1016/j.autcon.2020.103274

Deng, M., Gan, V. J. L., Tan, Y., Joneja, A., & Cheng, J. C. P. (2019). Advanced Engineering Informatics Automatic generation of fabrication drawings for façade mullions and transoms through BIM models. Advanced Engineering Informatics, 42(November 2018), 100964. https://doi.org/10.1016/j.aei.2019.100964

Deng, M., Tan, Y., Singh, J., Joneja, A., & Cheng, J. C. P. (2021). Computers in Industry A BIM-based framework for automated generation of fabrication ¸ ade panels drawings for fac. Computers in Industry, 126, 103395. https://doi.org/10.1016/j.compind.2021.103395

Ding, Z., Liu, S., Liao, L., & Zhang, L. (2019). Automation in Construction A digital construction framework integrating building information modeling and reverse engineering technologies for renovation projects. Automation in Construction, 102(January), 45–58. https://doi.org/10.1016/j.autcon.2019.02.012

Elyan, E., Jamieson, L., & Ali-gombe, A. (2020). Deep learning for symbols detection and classification in engineering drawings. Neural Networks, 129, 91–102. https://doi.org/10.1016/j.neunet.2020.05.025

Emara, M. S. (2022). Toward a suggested proposed model for the use of building information modeling ( BIM ) in the implementation phase for landscaping. Ain Shams Engineering Journal, 13(2), 101566. https://doi.org/10.1016/j.asej.2021.08.009

Fakhry, M., Kamel, I., & Abdelaal, A. (2021). CAD using preference compared to hand drafting in architectural working drawings coursework. Ain Shams Engineering Journal, 12(3), 3331–3338. https://doi.org/10.1016/j.asej.2021.01.016

Foadian, F., Carradó, A., & Brokmeier, H. G. (2018). ScienceDirect ScienceDirect ScienceDirect Integrated computational material engineering model development Integrated engineering model Manufacturing computational Engineering Society material MESIC development for tube drawing process b optimization in Industry Costing models for capacity Trade-off between used capacity and operational efficiency. Procedia Manufacturing, 15, 287–293. https://doi.org/10.1016/j.promfg.2018.07.221

Ghiaus, C., & Alzetto, F. (2019). Design of experiments for Quick U-building method for building energy performance measurement. Journal of Building Performance Simulation, 0(0), 1–15. https://doi.org/10.1080/19401493.2018.1561753

Ghofrani, A., Nazemi, S. D., & Jafari, M. A. (2020). Prediction of building indoor temperature response in variable air volume systems ABSTRACT. 1493. https://doi.org/10.1080/19401493.2019.1688393

Gunay, H. B., Darwazeh, D., Shillinglaw, S., & Wilton, I. (2021). Energy & Buildings Remote characterization of envelope performance through inverse modelling with building automation system data. Energy & Buildings, 240, 110893. https://doi.org/10.1016/j.enbuild.2021.110893

Hod, E. (2021). Tribological investigations on aluminum alloys at different contact conditions for simulation of deep drawing processes. 68(May), 546–557. https://doi.org/10.1016/j.jmapro.2021.05.050

Hwan, D., Hoon, S., Hun, J., & Kim, S. (2022). Case Studies in Thermal Engineering Experimental analysis of low-cost energy retrofit strategies for residential buildings to overcome energy poverty. Case Studies in Thermal Engineering, 32(February), 101874. https://doi.org/10.1016/j.csite.2022.101874

Ishii, Y. (2018). Significant Reduction in Propagation Loss in Electrospun Polymer Fibers by Adopting Thermal Drawing. Polymer. https://doi.org/10.1016/j.polymer.2018.11.025

Kazaz, A., Ac, T., Ulubeyli, S., & Koyun, H. (2017). Detection of Architectural Drawings Errors in 3 Dimension. 196(June), 1018–1025. https://doi.org/10.1016/j.proeng.2017.08.044

Lanahan, M., Engert, S., Kim, T., Tabares-velasco, P. C., Lanahan, M., Engert, S., Kim, T., & Tabares-, P. C. (2018). Rapid visualization of the potential residential cost savings from energy storage under time-of-use electric rates. Journal of Building Performance Simulation, 0(0), 1–14. https://doi.org/10.1080/19401493.2018.1470203

Latha, S., & B, P. C. (2020). ScienceDirect ScienceDirect Vuca in Engineering Education : Enhancement of Faculty Competency For Capacity Building. Procedia Computer Science, 172(2019), 741–747. https://doi.org/10.1016/j.procs.2020.05.106

Liang, I., Claudia, A., Loper, M., Krüger, E., & Kiyoshi, F. (2020). Energy & Buildings Energy performance evaluation and comparison of sampled Brazilian bank buildings with the existing and proposed energy rating systems. Energy & Buildings, 225, 110304. https://doi.org/10.1016/j.enbuild.2020.110304

Liu, Y., Chen, H., Zhang, L., & Feng, Z. (2021). Enhancing building energy efficiency using a random forest model : A hybrid prediction approach. Energy Reports, 7, 5003–5012. https://doi.org/10.1016/j.egyr.2021.07.135

Lovon, H., Silva, V., Vicente, R., Miguel, T., & Costa, A. A. (2021). Characterisation of the masonry building stock in Portugal for earthquake risk assessment. Engineering Structures, 233(October 2020), 111857. https://doi.org/10.1016/j.engstruct.2021.111857

Lu, Q., Chen, L., Li, S., & Pitt, M. (2020). Automation in Construction Semi-automatic geometric digital twinning for existing buildings based on images and CAD drawings. Automation in Construction, 115(February), 103183. https://doi.org/10.1016/j.autcon.2020.103183

Luyen, T., Tong, V., & Nguyen, D. (2022). A simulation and experimental study on the deep drawing process of SPCC sheet using the graphical method. Alexandria Engineering Journal, 61(3), 2472–2483. https://doi.org/10.1016/j.aej.2021.07.009

Meier, A., & Cautley, D. (2021). Energy & Buildings Practical limits to the use of non-intrusive load monitoring in commercial buildings. Energy & Buildings, 251, 111308. https://doi.org/10.1016/j.enbuild.2021.111308

Nath, T., Attarzadeh, M., Tiong, R. L. K., Chidambaram, C., & Yu, Z. (2015). Automation in Construction Productivity improvement of precast shop drawings generation through BIM-based process re-engineering. Automation in Construction, 54, 54–68. https://doi.org/10.1016/j.autcon.2015.03.014

Okeke, F. O., Sam-amobi, C. G., & Okeke, F. I. (2020). Heliyon Role of local town planning authorities in building collapse in Nigeria : evidence from Enugu metropolis. Heliyon, April, e04361. https://doi.org/10.1016/j.heliyon.2020.e04361

Peter, M., Kriechenbauer, S., Peter, M., Mauermann, R., Drossel, W., Stief, P., Dantan, J., Etienne, A., & Siadat, A. (2018). ScienceDirect Evolutionary optimization of deep-drawing processes on servo screw presses Evolutionary optimization of deep-drawing servo screw presses May processes with freely programmable force and functions with freely programmable force and motion functions A new methodology to the functional and physical architecture of existing products for an assembly product family identification. 3–8. https://doi.org/10.1016/j.procir.2021.11.250

Pizarro, P. N., & Massone, L. M. (2021). Structural design of reinforced concrete buildings based on deep neural networks. Engineering Structures, 241(May), 112377. https://doi.org/10.1016/j.engstruct.2021.112377

Qiu, Q., Wang, M., Tang, X., & Wang, Q. (2021). Automation in Construction Scan planning for existing buildings without BIM based on user-defined data quality requirements and genetic algorithm. Automation in Construction, 130(July), 103841. https://doi.org/10.1016/j.autcon.2021.103841

Romanova, G., & Mashkin, A. (2021). ScienceDirect ScienceDirect ScienceDirect Architectures for Some Some methods methods of of improving improving the the quality quality of of electronic electronic archives archives at at the. Procedia Computer Science, 190(2020), 18–22. https://doi.org/10.1016/j.procs.2021.06.032

Schaubroeck, S., Allacker, K., Stief, P., Dantan, J., Etienne, A., & Siadat, A. (2022). ScienceDirect ScienceDirect Circularity of building stocks : modelling building joints and their Circularity of building stocks : modelling joints and their disassembly in a 3D city building model disassembly in a 3D city model A new methodology the functional physical Simon to existing products an assembly oriented product family. Procedia CIRP, 105, 712–720. https://doi.org/10.1016/j.procir.2022.02.119

Sokas, A. (2017). Graphical methods for designing bolted joints in engineering drawings. Procedia Engineering, 172, 1044–1052. https://doi.org/10.1016/j.proeng.2017.02.161

Sun, L. (2021). Drawing the identity of architect : Liu Jipiao as an artistic architect in the late 1920s China. Frontiers of Architectural Research, 10(3), 584–597. https://doi.org/10.1016/j.foar.2021.03.004

Thomas, W. (2021). Optimal Sensor Placement for Temperature Optimal Sensor Placement for Temperature Optimal Sensor Placement for Control in a Deep Drawing Tool Optimal Sensor Placement for Temperature Temperature Control in a Deep Drawing Control in in a a Deep Deep Drawing Drawing Tool Tool Control Control in a Deep Drawing Tool Tool. IFAC PapersOnLine, 54(11), 91–96. https://doi.org/10.1016/j.ifacol.2021.10.056

Velez, C., Nuechterlein, B., Connors, S., Redshirt, G., Roane, T. M., & Mays, D. C. (2022). Application of the Indigenous evaluation framework to a university certificate program for building cultural awareness in science , technology , engineering , and mathematics. Evaluation and Program Planning, 92, 102066. https://doi.org/10.1016/j.evalprogplan.2022.102066

Yin, M., Tang, L., Zhou, T., Wen, Y., Xu, R., & Deng, W. (2020). Automation in Construction Automatic layer classification method-based elevation recognition in architectural drawings for reconstruction of 3D BIM models. Automation in Construction, 113(March 2019), 103082. https://doi.org/10.1016/j.autcon.2020.103082

Zhao, Y., Deng, X., & Lai, H. (2021). Automation in Construction Reconstructing BIM from 2D structural drawings for existing buildings. Automation in Construction, 128(May), 103750. https://doi.org/10.1016/j.autcon.2021.103750

Published

10 November 2022

Categories