Articles
<![CDATA[Study of Rapid Visual Screening of Buildings for High Potential Seismic Hazard According to Indonesian Standard ]]>
<![CDATA[Wahyuni, Endah]]>;
<![CDATA[Aji, Pujo]]>;
<![CDATA[Budi, Firman]]>
<![CDATA[ IPTEK Journal of Proceedings Series No 2 (2017): The 2nd Internasional Seminar on Science and Technology (ISST) 2016 ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23546026.y2017i2.2273
<![CDATA[This paper presents a study of Rapid Visual Screening (RVS) using FEMA 154 and applied in Indonesia based on SNI 1726. RVS is a method to asses potential earthquake hazard of a building based on visual observation (“sidewalk surveyâ€) of the exterior and interior building if possible, and a Data Collection Form. This study is intended to see how important the RVS of the FEMA 154 can be implemented in Indonesia with a case study at Yogyakarta. The buildings that reviewed were assumed to have the same parameters as mention in FEMA 154 and compatible with SNI 1726 (Indonesian earthquake map). The results from field survey were compared to the numerical analysis. From the case study, it was found that the administration building of ATK Academy, the dormitory building of Ministry of Internal Affairs, the office building of Department of Agriculture, and the educational building of Health Polytechnics have a score more than 2, and the buildings are also declared safe according to SNI 1726.]]>
<![CDATA[Multi-Objective Two-Dimensional Truss Optimization by using Genetic Algorithm ]]>
<![CDATA[Alrasyid, Harun]]>;
<![CDATA[Aji, Pujo]]>
<![CDATA[ IPTEK The Journal for Technology and Science Vol 22, No 2 (2011) ]]>
Publisher : <![CDATA[IPTEK, LPPM, Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j20882033.v22i2.62
<![CDATA[During last three decade, many mathematical programming methods have been develop for solving optimization problems. However, no single method has been found to be entirely efficient and robust for the wide range of engineering optimization problems. Most design application in civil engineering involve selecting values for a set of design variables that best describe the behavior and performance of the particular problem while satisfying the requirements and specifications imposed by codes of practice. The introduction of Genetic Algorithm (GA) into the field of structural optimization has opened new avenues for research because they have been successful applied while traditional methods have failed. GAs is efficient and broadly applicable global search procedure based on stochastic approach which relies on “survival of the fittest†strategy. GAs are search algorithms that are based on the concepts of natural selection and natural genetics. On this research Multi-objective sizing and configuration optimization of the two-dimensional truss has been conducted using a genetic algorithm. Some preliminary runs of the GA were conducted to determine the best combinations of GA parameters such as population size and probability of mutation so as to get better scaling for rest of the runs. Comparing the results from sizing and sizing– configuration optimization, can obtained a significant reduction in the weight and deflection. Sizing–configuration optimization produces lighter weight and small displacement than sizing optimization. The results were obtained by using a GA with relative ease (computationally) and these results are very competitive compared to those obtained from other methods of truss optimization.]]>
<![CDATA[Analisa Numerik Pada Kolom Beton Pracetak Mutu-Tinggi dengan Sambungan Grouted Sleeve ]]>
<![CDATA[Amalia, Rizky]]>;
<![CDATA[Alrasyid, Harun]]>;
<![CDATA[Aji, Pujo]]>;
<![CDATA[Rofiq, Muhammad]]>
<![CDATA[ Jurnal Aplikasi Teknik Sipil Vol 19, No 3 (2021) ]]>
Publisher : <![CDATA[Departemen Teknik Infrastruktur Sipil Institut Teknologi Sepuluh Nopember Surabaya ]]>
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DOI: 10.12962/j2579-891X.v19i3.8955
<![CDATA[Penggunaan beton mutu tinggi dan tulangan mutu tinggi untuk konstruksi beton pracetak memiliki keunggulan yaitu mampu menyediakan kolom dengan ukuran kecil pada lantai yang rendah, dan kecepatan konstruksi yang lebih tinggi dibandingkan dengan beton bertulang mutu normal. Sambungan mekanis tipe grouted sleeve (GS) untuk tulangan longitudinal mutu tinggi pada zona sendi plastis dipilih karena kolom pracetak dengan sambungan GS memberikan perilaku yang sama dengan kolom beton bertulang monolit. Penelitian ini menyajikan analisis nonlinear perilaku seismik kolom beton pracetak berkurvatur ganda dengan sambungan GS pada ujung kolom-pondasi. Dimensi kolom yang digunakan yaitu 600x600 mm. Kuat tekan beton adalah 74 MPa. Tulangan mutu tinggi SD685 (kuat leleh 685 MPa) dan SD785 (kuat leleh 785 MPa) masing-masing digunakan untuk tulangan longitudinal dan transversal. Pemodelan numerik dilakukan menggunakan rangkaian program elemen-hingga, 3DNLFEA. Hasil menunjukkan prediksi model 3DNLFEA memiliki kesesuaian yang baik dengan hasil eksperimen. Pelelehan tulangan longitudinal, pola keretakan yang terjadi, dan kegagalan tulangan transversal disajikan.]]>
<![CDATA[Prediksi Kuat Tekan Beton Berbahan Campuran Fly Ash dengan Perawatan Uap Menggunakan Metode Kematangan ]]>
<![CDATA[Candra Irawan]]>;
<![CDATA[Januarti Jaya Ekaputri]]>;
<![CDATA[Pujo Aji]]>;
<![CDATA[Triwulan Triwulan]]>
<![CDATA[ Jurnal Teknik ITS Vol 1, No 1 (2012) ]]>
Publisher : <![CDATA[Direktorat Riset dan Pengabdian Masyarakat (DRPM), ITS ]]>
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DOI: 10.12962/j23373539.v1i1.1041
<![CDATA[Penambahan fly ash dan penggunaan steam curing membuat produksi beton lebih ekonomis, baik dari segi waktu maupun biaya. Selain ekonomis, kualitas beton juga harus dikontrol, salah satunya adalah kuat tekan. Di Indonesia prediksi kuat tekan beton diatur PBI 1971. Peraturan ini hanya dapat digunakan untuk prediksi kekuatan beton normal, sehingga tidaklah akurat jika peraturan ini kita gunakan untuk memprediksi kuat tekan beton berbahan campuran fly ash yang dirawat dengan steam curing. Sebagai solusinya Day (2006) mengusulkan prediksi menggunakan metode kematangan (maturity method). Penelitian ini mencoba memprediksi kuat tekan beton umur 7, 14 dan 28 hari berdasarkan data kuat tekan dan faktor waktu-suhu umur umur dasar 1 dan 2 hari. Benda uji beton yang digunakan berbentuk silinder 15 x 30 cm, berbahan campuran fly ash tipe F dan dirawat dengan perawatan uap (steam curing). Dari hasil penelitian ini diketahui nilai error antara kuat tekan prediksi dengan kuat tekan aktual kurang dari 5% untuk umur 7 dan 28 hari untuk semua benda uji, sedangan untuk umur 14 hari untuk benda uji 2 memberikan error di atas 5%, namun kurang dari 10%. Secara ilmu statistik dapat dikatakan kuat tekan prediksi sama dengan kuat tekan aktualnya. Hal ini dibuktikan dengan nilai t hitung berada di daerah penerimaan.]]>
<![CDATA[Hubungan Kehalusan, Strength Activity Index, Berat Jenis Fly Ash dengan Kuat Tekan Mortar Menggunakan Artificial Neural Network ]]>
<![CDATA[Nikmatus Solikha]]>;
<![CDATA[Pujo Aji]]>;
<![CDATA[Januarti Jaya Ekaputri]]>
<![CDATA[ Jurnal Teknik ITS Vol 1, No 1 (2012) ]]>
Publisher : <![CDATA[Direktorat Riset dan Pengabdian Masyarakat (DRPM), ITS ]]>
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DOI: 10.12962/j23373539.v1i1.1238
<![CDATA[Kehalusan, strength activity index dan berat jenis fly ash mempunyai pengaruh yang signifikan terhadap hasil kuat tekan mortar. Perlu dilakukan penelitian untuk mencari pengaruh sifat-sifat tersebut dengan mengetahui hubungan antara sifat fisik fly ash dengan kuat tekan mortar. Artificial Neural Network (ANN) merupakan suatu model komputasi yang bekerja seperti sel saraf biologis pada otak manusia, dipakai untuk mencari hubungan tersebut melalui proses pembelajaran Back-Propagation. Langkah-langkah penelitian meliputi pengumpulan data, pemodelan, dan pengujian pemodelan yang sudah dibuat. Kehalusan, berat jenis dan strength activity index dipakai sebagai input dan kuat tekan mortar umur 28 hari sebagai target output dalam pemodelan. Pengujian dilakukan untuk mencari performa ANN yang paling optimal pada proses pelatihan dengan nilai Mean Square Error (MSE) validation terkecil. Dari penelitian yang telah dilakukan disimpulkan bahwa ANN dapat digunakan untuk membentuk hubungan antara kehalusan, strength activity index dan berat jenis fly ash dengan hasil kuat tekan mortar dengan kesalahan antara 0%-0.054%. Pada pengujian parameter pelatihan, didapatkan bahwa performa yang optimal dihasilkan dengan 1 hidden layer dengan 3 node dengan prosentase data 70% training, 15% testing, dan 15% validation dan MSE rata-rata 5.57x10-5.]]>
<![CDATA[Blending Agregat Menggunakan Algoritma Genetika ]]>
<![CDATA[Yeni Rochsianawati]]>;
<![CDATA[Pujo Aji]]>;
<![CDATA[Januarti Jaya Ekaputri]]>
<![CDATA[ Jurnal Teknik ITS Vol 1, No 1 (2012) ]]>
Publisher : <![CDATA[Direktorat Riset dan Pengabdian Masyarakat (DRPM), ITS ]]>
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DOI: 10.12962/j23373539.v1i1.1350
<![CDATA[Blending agregat merupakan proses untuk menentukan proporsi yang tepat dari agregat yang kemudian dicampur sehingga dapat ditemukan gradasi atau susunan besar butir agregat yang sesuai dengan spesifikasi batasan yang ada. Blending agregat dapat diselesaikan menggunakan beberapa metode, diantaranya metode coba-coba, metode grafis dan metode optimasi. Di Indonesia, penyelesaian blending agregat masih dikerjakan secara manual (metode coba-coba dan metode grafis). Dengan menggunakan metode tersebut dibutuhkan waktu yang cukup lama untuk mengetahui hasil dari proses blending agregatnya. Tujuan dari penelitian ini adalah dapat dibuat sebuah program yang bisa menjalankan proses blending agregat dengan cepat, baik itu untuk agregat halus maupun agregat kasar. Salah satu metode yang dapat digunakan untuk menyelesaikan permasalahan tersebut adalah dengan menggunakan algoritma genetika. Algoritma Genetika merupakan metode optimasi yang dikembangkan berdasarkan pada teori evolusi biologi. Pada penelitian ini, syarat batasan gradasi agregat yang dipakai untuk blending diambil dari ASTM C33-03. Hasil dari program ini berupa nilai proporsi dari tiap agregat yang diblending. Berdasarkan hasil analisa yang telah dilakukan, dapat diketahui bahwa hasil proporsi agregat yang dihasilkan dari program ini dapat menghasilkan gradasi agregat yang memenuhi atau paling mendekati syarat batasan gradasi ASTM C33-03. Program blending agregat ini dapat digunakan untuk blending n agregat sekaligus, dimana n merupakan jumlah jenis agregat dan hasil dari programnya dapat diketahui dengan cepat karena untuk sekali proses running hanya dibutuhkan waktu < 10 detik saja.]]>
<![CDATA[FINITE ELEMENT MODELING OF CIRCULAR REINFORCED CONCRETE COLUMN CONFINED WITH CFRP UNDER ECCENTRIC LOADING ]]>
<![CDATA[Angga Bayu Christianto]]>;
<![CDATA[Bambang Piscesa]]>;
<![CDATA[Faimun Faimun]]>;
<![CDATA[Pujo Aji]]>
<![CDATA[ Journal of Civil Engineering Vol 34, No 2 (2019) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j20861206.v34i2.6375
<![CDATA[This paper presents nonlinear finite element analysis of eccentrically loaded circular Reinforced Concrete (RC) column confined with Carbon Fiber Reinforced Polymer (CFRP) wraps. The concrete constitutive model uses a plasticity-fracture model which is restraint sensitive, utilize a non-constant plastic dilation rate, and is able to simulate the plastic volumetric compaction of concrete core under high confining pressure. For validation of the models, two available specimens from the literature are used in the validations. Excellent agreement between the numerical models and the available test results are obtained in this study. A detailed investigation on the confinement effectiveness of both external and internal confining devices are presented and discussed. This discussion of the confinement effectiveness is important to be included in the design formula.]]>
<![CDATA[Numerical Analysis of Shear Behavior of High-Strength Reinforced Concrete Columns ]]>
<![CDATA[Teddy Yustiono]]>;
<![CDATA[Harun Alrasyid]]>;
<![CDATA[Pujo Aji]]>;
<![CDATA[Yu Chen-Ou]]>;
<![CDATA[Yusronia Putri]]>
<![CDATA[ IPTEK Journal of Proceedings Series No 6 (2017): The 3rd International Conference on Civil Engineering Research (ICCER) 2017 ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23546026.y2017i6.3242
<![CDATA[Although the utilization of high-strength concrete and high-strength steel can reduced column dimension at high-rise building, the column aspect ratio remain low. These column were tended to dominate by shear failure than flexure failure. The research discusses the numerical analysis of shear critical of High-strength reinforced concrete columns. The Uniaxial Shear Flexure Method (USFM) was used to observe this behavior and examined on the test result. This study showed that USFM method provided conservative prediction. Some modification was proposed in order to improve this method when estimate the shear behaviour of high-strength reinforced concrete column.]]>
<![CDATA[Seismic Confinement Design for Rectangular Columns With Considering Shear Effect ]]>
<![CDATA[Julio Cezar Haryantho]]>;
<![CDATA[Harun Alrasyid]]>;
<![CDATA[Pujo Aji]]>;
<![CDATA[Munarus Suluch]]>
<![CDATA[ IPTEK Journal of Proceedings Series No 6 (2017): The 3rd International Conference on Civil Engineering Research (ICCER) 2017 ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23546026.y2017i6.3231
<![CDATA[This research discusses the role of transverse reinforcement as seismic reinforced concrete columns confinement. The latest confinement design addressed for columns remains standing under certain level of axial compression and displacement demands. However, this purpose did not consider shear effect. An approach formulation to determine the amount of confinement for reinforcement concrete that account effect of shear is provided. This method is based on combined effects of axial and shear stress that found in coulomb failure criterion. The proposed formulation are tested in 163 column test result data base and compared with several building codes. The result showed that the formulation can reduce amount of confinement safely for most columns.]]>
<![CDATA[Estimation of Sea Surface Salinity Concentration from Landsat 8 OLI Data in The Strait of Madura, Indonesia ]]>
<![CDATA[Muhsi Muhsi]]>;
<![CDATA[Bangun Muljo Sukojo]]>;
<![CDATA[Muhammad Taufik]]>;
<![CDATA[Pujo Aji]]>;
<![CDATA[Lalu Muhamad Jaelani]]>
<![CDATA[ Forum Geografi Vol 36, No 2 (2022): December 2022 ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Surakarta ]]>
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DOI: 10.23917/forgeo.v36i2.19941
<![CDATA[Remote sensing technique to estimate the sea surface salinity has been widely implemented in the seas of various regions. The interface between them was developed using a regression equation like the algorithm in previous research. However, the use of this algorithm for waters in Indonesia, especially in Madura Strait, still requires some adjustment since it is related to the characteristics of different areas in which the algorithm was developed. The development of an applicable local algorithm was performed by finding the best coefficient value in estimating sea surface salinity by considering the value of its lowest NMAE (Normalized Mean Absolute Error). By using salinity and in-situ Rrs(l) (Reflectance of remote sensing) data, we found that the coefficient for the slope was -0.0092, and the intercept was 1.4903. The developed algorithm produces higher accuracy than the existing algorithm, with an NMAE of 0.51%. This NMAE value is smaller than previous research, so this new model can be used to estimate sea surface salinity, particularly in Indonesian sea waters.]]>
