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Abstrak :
Analisis kualitas data stasiun pengamatan gempabumi menjadi sangat penting sebagai kontrol kualitas atau pengendali mutu. Saat ini penentuan kualitas stasiun pengamatan gempabumi dilakukan secara manual dengan menganalisis parameter bentuk spektrum noise atau bentuk spektrum power spectral density (PSD) terhadap bentuk noise model pada suatu stasiun dengan rentang waktu 30 hari oleh seorang pakar. Pada penelitian ini diusulkan pendekatan metode baru berbasis deep learning untuk mengenali kualitas stasiun pengamatan gempabumi, yang didasarkan dari kemampuan pakar dalam menganalisis kualitas data stasiun pengamatan gempabumi. Data yang digunakan ialah waveform rekaman seismometer 3 komponen (North-South, East-West, Z-vertical) pada jaringan stasiun pengamatan gempabumi Indonesia Tsunami Early Warning System (InaTEWS). Model arsitektur dalam rancang bangun sistem pakar ini menggunakan Multiple Input Convolutional Neural Network (MICNN), dalam model MICNN ini terdapat 3 blok Convolutional Neural Network, yang berfungsi sebagai ekstraksi fitur tiap komponen waveform rekaman seismometer, hasil ekstraksi fitur tiap blok CNN kemudian digabungkan untuk dilakukan proses klasifikasi pada model arsitektur MICNN. Terdapat 3 kelas klasifikasi yang digunakan pada penelitian ini, yaitu Classified, Usable dan Unusable. Pengujian terhadap model MICNN ini menggunakan rekaman waveform seismometer dari 411 stasiun InaTEWS dengan panjang rekaman 30 hari selama 12 bulan, dan hasil pengujian model MICNN pada penelitian ini memiliki akurasi sebesar 99,4% ......Analysis of the quality of the earthquake observation station data becomes very important as quality control. Currently, the determination of the quality of earthquake observation stations is done manually by analyzing the parameters of the shape of the noise spectrum or the form of the power spectral density (PSD) spectrum against the shape of the noise model at a station with a period of 30 days by an expert. This study proposes a new method approach based on deep learning to identify the quality of earthquake observation stations, which is based on the ability of experts to analyze the quality of earthquake observation station data. The data is a 3-component seismometer recording waveform (North-South, East-West, Z-vertical) on the Indonesian Tsunami Early Warning System (InaTEWS) earthquake observation station network. The architectural model in the design of this expert system uses Multiple Input Convolutional Neural Network (MICNN). In this MICNN model, 3 Convolutional Neural Network blocks function as feature extraction for each component of the seismometer recording waveform. Classification process on the MICNN architectural model. There are three classification classes used in this study, namely Classified, Usable and Unusable. The test of the MICNN model uses waveform seismometer recordings from 411 InaTEWS stations with a recording length of 30 days for 12 months, and the results of testing the MICNN model in this study have an accuracy of 99,4%.

Abstrak :
Skripsi ini membahas mengenai simulasi dari Low Strain Integrity Testing yang diterapkan pada permodelan dinding penahan tanah, yang dilakukan dengan menggunakan software geoteknik yaitu PLAXIS v8. Penelitian yang pernah dilakukan sebelumnya terhadap pondasi tiang, menghasilkan kesimpulan bahwa data beda waktu resonansi pada grafik waktu terhadap kecepatan dan beda frekuensi pada grafik mobilitas dapat digunakan untuk menginterpretasikan panjang tiang. Pada penelitian ini, data didapatkan dari hasil simulasi dari permodelan yang dijalankan menggunakan program PLAXIS v8. Dari hasil analisa data, didapat bahwa pada simulasi yang dilakukan terhadap dinding penahan tanah ini memberikan hasil panjang dinding yang kurang sesuai dengan hasil yang diperoleh dari perhitungan teoritis. Selain itu dapat disimpulkan bahwa akurasi data panjang dinding turut dipengaruhi oleh keberadaan tanah yang berada di sekeliling dinding.

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This far, there have been so many retaining wall constructions already built all over the world. From all those retaining wall structures, there would be some of them which has un-identified existing condition, whether its type, dimension, and depth. To figure out the characteristics of those unknown retaining wall structures, there must be a method which could help the author in doing the analysis. In this paper, the author defines the case which would be analyzed as concrete retaining wall, which has the unknown dimension and depth. Dimension and depth of this existing retaining wall could be defined by using low strain integrity testing method. Basically, the main concept of this kind of testing is identical with wave reflection testing. Then the testing and/or interpretation can be simple to do because this evaluation identical with wave reflection evaluations. Analyzing wave reflection, author use one of Geotechnical Software i.e. PLAXIS Version 8. Outputs are obtained from PLAXIS v8 that is graphics of time and frequency domain.

Abstrak :
Skripsi ini membahas mengenai simulasi dari Low Strain Integrity Testing yang diterapkan pada permodelan dinding penahan tanah, yang dilakukan dengan menggunakan software geoteknik yaitu PLAXIS v8. Penelitian yang pernah dilakukan sebelumnya terhadap pondasi tiang, menghasilkan kesimpulan bahwa data beda waktu resonansi pada grafik waktu terhadap kecepatan dan beda frekuensi pada grafik mobilitas dapat digunakan untuk menginterpretasikan panjang tiang. Pada penelitian ini, data didapatkan dari hasil simulasi dari permodelan yang dijalankan menggunakan program PLAXIS v8. Dari hasil analisa data, didapat bahwa pada simulasi yang dilakukan terhadap dinding penahan tanah ini memberikan hasil panjang dinding yang kurang sesuai dengan hasil yang diperoleh dari perhitungan teoritis. Selain itu dapat disimpulkan bahwa akurasi data panjang dinding turut dipengaruhi oleh keberadaan tanah yang berada di sekeliling dinding.

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This far, there have been so many retaining wall constructions already built all over the world. From all those retaining wall structures, there would be some of them which has un-identified existing condition, whether its type, dimension, and depth. To figure out the characteristics of those unknown retaining wall structures, there must be a method which could help the author in doing the analysis. In this paper, the author defines the case which would be analyzed as concrete retaining wall, which has the unknown dimension and depth. Dimension and depth of this existing retaining wall could be defined by using low strain integrity testing method. Basically, the main concept of this kind of testing is identical with wave reflection testing. Then the testing and/or interpretation can be simple to do because this evaluation identical with wave reflection evaluations. Analyzing wave reflection, author use one of Geotechnical Software i.e. PLAXIS Version 8. Outputs are obtained from PLAXIS v8 that is graphics of time and frequency domain.

Abstrak :
Dalam 5-6 tahun terakhir, pembangunan infrastruktur di Indonesia dipercepat. Banyak masalah terkait pengadaan lahan yang terjadi, karena itu digunakan struktur jembatan slab-on-pile sebagai solusi. Akibat properti unik struktur slab-on-pile dimana batasan antara struktur atas dan bawahnya yang sangat ambigu, dan fakta bahwa struktur slab-on-pile banyak digunakan pada proyek jalan tol elevated sedangkan menurut KKJTJ, setiap jembatan elevated yang panjangnya melebihi 3 km perlu dilakukan uji dinamik, maka dari itu, perlu dilakukan pengujian dinamik lateral terhadap struktur slab-on-pile agar bisa dianalisis karakteristik dinamiknya. Pada penelitian ini, pengujian dinamik lateral menggunakan eccentric mass shaker dilakukan terhadap struktur jembatan slab-on-pile agar diketahui frekuensi alaminya. Data yang diolah menggunakan proses FFT (fast fourier transform) dan FDD (frequency domain decomposition) divalidasi terhadap beberapa model struktur yang divariasikan dalam permodelan pondasinya serta jenis elemen yang digunakan. Terdapat 3 variasi jenis permodelan pondasi yaitu Full (dimodelkan seutuhnya), Fix.Point (dijepit pada taraf penjepitan lateral) dan Ground (dijepit pada elevasi ground) dan 2 variasi jenis elemen yang digunakan yaitu Frame & Shell dan Elemen Solid. Model dibuat menggunakan program Midas Civil. Didapatkan nilai frekuensi alami struktur sebesar 3.3 Hz dalam arah longitudinal dan 4.5 Hz dalam arah transversal. Frekuensi alami dari pengujian setara dengan model dalam arah longitudinal, namun jauh lebih besar dari model dalam arah transversal. Hal ini karena dalam proses pemancangan spun pile, terjadi pemadatan tanah di sekelilingnya sehingga dalam arah transversal, dimana jarak antar pile kecil, kekakuan tanah meningkat. Dari penelitian ini juga didapat kesimpulan bahwa model yang paling akurat untuk memodelkan struktur slab-on-pile adalah model struktur yang dijepit pada taraf penjepitan lateral yang menggunakan elemen frame dan shell (FS- FIX.POINT) untuk arah longitudinal dan model struktur yang dijepit pada elevasi ground yang menggunakan elemen frame dan shell (FS-GROUND) untuk arah transversal. ......In the last 5-6 years, infrastructure development in Indonesia has accelerated greatly. This causes land availability issues, which are solved by implementing slab-on-pile structures for bridge construction. Due to slab-on-pile bridges not having a clear border between their superstructure and substructure, and the fact that slab-on-pile bridges are often used for elevated toll road projects where KKJTJ states that all elevated toll roads spanning over 3 km must be assessed for its dynamic capabilities, a lateral dynamic test becomes relevant to conduct in order to analyze the structure’s dynamic characteristics.. In this research, a slab-on-pile bridge structure is tested for its lateral dynamic capacities using an eccentric mass shaker so that its natural frequencies can be obtained. The data processed using the FFT (fast fourier transform) and FDD (frequency domain decomposition) methods are compared with the values obtained from numerical models made using Midas Civil. Several models were made with variations on the spun pile foundation modelling method and the elements that were used for the model. Three spun pile foundation modelling method variations were used: Full (foundation fully modelled), Partial (foundation fixed at its fixity point), and Ground (foundation fixed at ground level); two variations of elements were used: Frame & Shell and Solid Element. The tests result in a longitudinal natural frequency of 3.3 Hz and a transversal natural frequency of 4.5 Hz. The longitudinal natural frequency is similar with the model’s longitudinal natural frequency. However, the transversal natural frequency is 16.9 – 32.8% higher than the model’s transversal natural frequency. This is caused by the erection of the spun pile foundation that causes its surrounding soil in the transversal direction to condense, which in the case of very short pile spacing distances, causes the soil stiffness to increase. The tests and models also show that the most accurate model in the longitudinal direction is the FS-FIX.POINT model which were given fixed restraints at its fixity point and is modelled using the frame & shell elements. In the transversal direction, the most accurate model is the FS-GROUND model which were given fixed restraints at ground level and is modelled using frame & shell elements.

Abstrak :
This book provides a comprehensive overview of the photonic sensing field by covering plasmonics, photonic crystal, and SOI techniques from theory to real sensing applications. A literature review of ultra-sensitive photonic sensors, including their design and application in industry, makes this a self-contained and comprehensive resource for different types of sensors, with high value to the biosensor sector in particular. The book is organized into four parts: Part I covers the basic theory of wave propagation, basic principles of sensing, surface plasmon resonance, and silicon photonics; Part II details the computational modeling techniques for the analysis and prediction of photonic sensors; Part III and Part IV cover the various mechanisms and light matter interaction scenarios behind the design of photonic sensors including photonic crystal fiber sensors and SOI sensors. This book is appropriate for academics and researchers specializing in photonic sensors; graduate students in the early and intermediate stages working in the areas of photonics, sensors, biophysics, and biomedical engineering; and to biomedical, environmental, and chemical engineers.

Abstrak :
This monograph deals with theoretical aspects and numerical simulations of the interaction of electromagnetic fields with nonlinear materials. It focuses in particular on media with nonlinear polarization properties. It addresses the direct problem of nonlinear Electrodynamics, that is to understand the nonlinear behavior in the induced polarization and to analyze or even to control its impact on the propagation of electromagnetic fields in the matter. The book gives a comprehensive presentation of the results obtained by the authors during the last decade and put those findings in a broader, unified context and extends them in several directions. It is divided into eight chapters and three appendices. Chapter 1 starts from the Maxwell’s equations and develops a wave propagation theory in plate-like media with nonlinear polarizability. In chapter 2 a theoretical framework in terms of weak solutions is given in order to prove the existence and uniqueness of a solution of the semilinear boundary-value problem derived in the first chapter. Chapter 3 presents a different approach to the solvability theory of the reduced frequency-domain model. Here the boundary-value problem is reduced to finding solutions of a system of one-dimensional nonlinear Hammerstein integral equations. Chapter 4 describes an approach to the spectral analysis of the linearized system of integral equations. Chapters 5 and 6 are devoted to the numerical approximation of the solutions of the corresponding mathematical models. Chapter 7 contains detailed descriptions, discussions and evaluations of the numerical experiments. Finally, chapter 8 gives a summary of the results and an outlook for future work.