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All Journal TEKNIK REKA RACANA Jurnal Teknik Sipil E-Dimas: Jurnal Pengabdian kepada Masyarakat Jurnal Rekayasa Sipil BENTANG : Jurnal Teoritis dan Terapan Bidang Rekayasa Sipil Jurnal Permukiman JURNAL REKAYASA Jurnal ABDINUS : Jurnal Pengabdian Nusantara Menara: Jurnal Teknik Sipil Journal of Industrial Engineering and Operation Management (JIEOM) Wood Research Journal : Journal of Indonesian Wood Research Society Wood Research Journal : Journal of Indonesian Wood Research Society SERVIRISMA: Jurnal Pengabdian kepada Masyarakat Jurnal Teknik Sipil
Yosafat Aji Pranata
Jurusan Teknik Sipil, Fakultas Teknik, Universitas Kristen Maranatha Jalan Suria Sumantri 65 Bandung 40164, Jawa Barat.
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Social Sciences Transportation Other

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Journal : REKA RACANA

 1 
Model Kurva Bilinier Tegangan-Regangan Lentur, Tekan Sejajar Serat, dan Tekan Tegaklurus Serat Kayu Simalambuo (Lophopetalum sp.) Pranata, Yosafat Aji; Frisda, Tani; Novi, Novi; Hagiyanto, Sofhie Angela
RekaRacana: Jurnal Teknik Sipil Vol 11, No 1: Maret 2025
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/rekaracana.v11i1.11

Abstract

ABSTRAKKayu Simalambuo (Lophopetalum sp.) dari Nias banyak dipergunakan sebagai bahan baku kayu untuk membuat bangunan kayu dengan fungsi untuk tempat tinggal. Penelitian ini bertujuan mendapatkan model kurva tegangan-regangan kayu Simalambuo (Lophopetalum sp.). Ruang lingkup penelitian yaitu kurva tegangan-regangan kayu yang dipelajari adalah sifat mekanika lentur dan tekan (sejajar serat dan tegaklurus serat kayu). Data sifat mekanika kayu diperoleh dari penelitian sebelumnya yaitu pengujian destruktif mengacu standar ASTM D143 dengan metode primer, dengan bahan baku kayu berasal dari Pulau Nias. Hasil penelitian yaitu model kurva tegangan-regangan lentur, tekan arah sejajar serat, dan tekan arah tegaklurus serat memberikan kontribusi bagi praktisi dan akademisi dalam perencanaan bangunan kayu tahan gempa. Model kurva bilinier tegangan-regangan hasil penelitian ini dapat menjadi referensi untuk analisis elastik maupun inelastik bangunan gedung kayu.Kata kunci: sifat mekanika, simalambuo, nias, eksperimental, bangunan ABSTRACTSimalambuo wood (Lophopetalum sp.) from Nias is widely used as wood raw material to make wooden buildings with residential functions. This research aims to obtain a curve model of the stress-strain of Simalambuo wood (Lophopetalum sp.). The scope of the research is the stress-strain curve of wood are the mechanical properties of flexural and compressive (parallel to the grain and perpendicular to the grain). Data on the mechanical properties of wood was obtained from previous research, namely destructive testing referring to the ASTM D143 standard using the primary method, with wood raw materials originating from Nias Island. The results of the research, namely the curve model of the stress-strain in term of bending, compression parallel to the grain, and compression perpendicular to the grain provide a contribution to practitioners and academics in design of earthquake-resistant wooden buildings. The bilinear stress-strain curve model resulting from this research can be a reference for elastic and inelastic analysis of wooden buildings.Keywords: mechanical properties, simalambuo, nias, experimental, building 
Prediksi Kuat Tekan Kolom Beton Persegi dengan Perkuatan FRP Menggunakan Machine Learning Kristianto, Anang; Pranata, Yosafat Aji; Br. Pasaribu, Novie Theresia; Alfatama, Jasen
RekaRacana: Jurnal Teknik Sipil Vol 11, No 2: Juli 2025
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/rekaracana.v11i2.158

Abstract

ABSTRAKAnalisis secara teoritis kuat tekan kolom beton persegi dengan perkuatan FRP masih mengandalkan pendekatan seperti yang digunakan untuk kolom lingkaran dengan modifikasi. Sesuai dengan kemajuan teknologi saat ini pendekatan menggunakan machine learning diharapakan dapat memberikan perspektif  berbeda sekaligus hasil yang lebih akurat. Tujuan dari penelitian ini adalah menggunakan beberapa teknik machine learning untuk memprediksi kuat tekan aksial kolom persegi yang diperkuat dengan FRP dengan berbagai radius kelengkungan pada sudutnya dan membandingkan metode machine learning dengan pendekatan analitik dan mekanik yang sudah ada. Tiga algoritma digunakan dalam pendekatan machine learning: Jaringan Syaraf Tiruan (JST), Categorical Boost (CatBoost), dan M5-Tree.  Ensemble Machine Learning membuat kinerja yang lebih baik dibandingkan dengan tiga model individual JST, CatBoost, dan M5-Tree dengan nilai R-squared sebesar 0,9557. Penggunaan machine learning untuk memprediksi dibandingkan dengan beberapa usulan teori tegangan terkekang, memberikan hasil yang paling mendekati dengan nilai R-squared sebesar 0,8276.Kata kunci: tegangan, kolom beton, FRP, prediksi, pembelajaran mesin ABSTRACTTheoretically analyzing the compressive strength of square concrete columns with FRP reinforcement still relies on the approach as used for circular columns with modifications. In accordance with current technological advances, machine learning approaches are expected to provide a different perspective as well as more accurate results. The objective of this research is to use several machine learning techniques to predict the axial compressive strength of square columns reinforced with FRP with various radii of curvature at the corners and compare the machine learning methods with existing analytical and mechanical approaches. Three algorithms were used in the machine learning approach: Artificial Neural Network (ANN), Categorical Boost (CatBoost), and M5-Tree.  The machine learning ensemble performed better than the three individual models JST, CatBoost, and M5-Tree with an R-squared value of 0.9557. The use of machine learning to predict, compared to some proposed confined stress theories, gave the closest results with an R-squared value of 0.8276.Keywords: stress, concrete column, FRP, prediction, machine learning
Studi Komparasi Analisis Dinamik Bangunan dengan Dinding Bata Merah dan Bata Ringan Laia, Viencent Cheristian; Pranata, Yosafat Aji
RekaRacana: Jurnal Teknik Sipil Vol 11, No 2: Juli 2025
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/rekaracana.v11i2.176

Abstract

ABSTRAKPenggunaan material untuk komponen bangunan sangat bervariasi, khususnya dinding. Tujuan penelitian ini adalah melakukan studi komparasi perilaku bangunan dengan dinding bata merah dan bata ringan akibat beban lateral (gempa). Ruang lingkup penelitian ini adalah perilaku bangunan akibat beban lateral menggunakan analisis respon spektrum, perilaku yang dipelajari adalah deformasi bangunan akibat beban gempa rencana, kondisi bangunan rumah subsidi yang tersebar di beberapa wilayah meliputi lima model rumah yang terletak di lokasi perumahan yang berbeda, denah kelima rumah diadaptasi dari pengamatan bangunan dan gambar kerja saat proses MBKM magang di Ditjen Perumahan yang berkolaborasi pada pengembang kelima rumah. Pembebanan gempa dengan respons spektrum menjadi komponen utama dalam melakukan analisa kemampuan bangunan yang berdeformasi dan pengaruhnya terhadap kekuatan kapasitas struktur. Kesimpulan yang dapat diperoleh dari hasil analisis pada kelima denah rumah yang berbeda dan juga lokasi yang berbeda material bata ringan terlihat memiliki pengaruh terhadap perpindahan dan juga deformasi yang lebih besar daripada bata merah. namun berdasarkan analisis izin perpindahan, kapasitas gaya dalam dan juga izin deformasi masih memenuhi untuk keamanannya bagi rumah sederhana.Kata kunci: bata merah, bata ringan, dinding, deformasi, gaya dalam ABSTRACTThe use of materials for building components varies greatly, especially walls. The purpose of this study is to conduct a comparative study of the behavior of buildings with red brick walls and lightweight bricks due to lateral loads (earthquakes). The scope of this study is the behavior of buildings due to lateral loads using spectrum response analysis. The behavior studied is building deformation due to the planned earthquake load, the condition of subsidized housing buildings spread across several regions, including five house models located in different housing locations. The plans for the five houses were adapted from building observations and working drawings during the MBKM internship process at the Directorate General of Housing which collaborated with the developers of the five houses. Earthquake loading with spectrum response is the main component in analyzing the ability of buildings to deform and its effect on the strength of the structural capacity. The conclusion that can be obtained from the results of the analysis of the five different house plans and also different locations, that lightweight brick material appears to have a greater effect on displacement and deformation than red brick. However, based on the analysis of displacement permits, internal force capacity and deformation permits, they still meet the safety requirements for simple houses.Keywords: brick, aerated lightweight brick, walls, displacement, internal force 
Co-Authors AAN DARMAWAN Alfatama, Jasen Amos Setiadi, Amos Anang Kristianto Bambang Suryoatmono Bas Boys, Maher Salal Hesy Bernardinus Herbudiman, Bernardinus Chandra, Jonathan DENI SETIAWAN Elty Sarvia Frisda, Tani Ginardy Husada Hagiyanto, Sofhie Angela Hendry Wong Hutasoit, Aldi Febri Johannes Adhijoso Tjondro Laia, Viencent Cheristian Lehman, Andrew Sebastian Loekito, Jimmy Agustian Markus Tanubrata Marvin Chandra Wijaya Novi Novi Novie Theresia Br. Pasaribu Olga Catherina Pattipawaej Pin Panji Yapinus, Pin Panji Riko Arlando Saragih Saputra, Yonathan Adi Semuil Tjiharjadi Simanta, Djoni Soesilo, Novi Suhendar, Prabu Mandvi Hafiz Anjar Suhendra, Andrias Suroso, Fadlillah Ariani Viencent Cheristian Laia Wiyono, Daud R