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DEGRADASI ZAT WARNA PADA LIMBAH AIR (WANTEX) MENGGUNAKAN METODE ELEKTROKOAGULASI
No full textTelah dilakukan penelitian degradasi zat warna wantex pada skala laboratorium menggunakan metode elektrokoagulasi dengan menggunakan 4 plat aluminium sebagai elektroda berukuran 12 cm x 30 cm. Pengaruh waktu, tegangan dan jarak antar elektroda terbukti mampu meningkatkan nilai efisiensi degradasi limbah warna. Proses elektrokoagulasi dilakukan selama 7 jam dan pengukuran kejernihan sampel dilakukan setiap 30 menit. Variasi tegangan yang digunakan adalah 10, dan 12 volt. Variasi jarak antar elektroda yang digunakan adalah 1, 2, dan 3 cm. Variasi konsentrasi wantex yang digunakan adalah 2; 2,67; 3,33; dan 4 (w/v %) dengan mencampurkan 0,6; 0,8; 1; dan 1,2 gram serbuk wantex kedalam 3 liter aquades. Hasil pengukuran Fotometer menunjukkan terjadi degradasi warna limbah wantex dengan tingkat kejernihan hingga 99,89%. Nilai ini jauh lebih tinggi dibandingkan dengan penelitian sebelumnya yang hanya mencapai 88,51% pada waktu, tegangan, dan jarak antar elektroda yang sama yaitu 180 menit, 12 volt, dan 1 cm.
Kata Kunci: Elektrokoagulasi, Warna, Limbah, pH, wantex, degradas
Input–Output Models for Sustainable Industrial Systems: Implementation Using LINGO
No full textInput–output analysis is a powerful and mathematically elegant framework for
describing the networks of interdependent components. While originally developed
for the analysis and planning of economic systems, over the past few decades, it has
also been shown to apply to diverse types of systems. Its ability to reflect the
interdependencies among system components is its most essential feature, as it
allows input–output models to gauge ripple effects that may cause unintended, and
potentially adverse, consequences if not predicted properly.
Sustainability considerations are now widely considered as integral to
decision-making in business, engineering, and public policy. This book is intended
to provide a concise treatment of different extensions of the input–output analysis as
they apply to the planning of sustainable industrial systems. The first two chapters
of the book give an introduction to the conceptual and mathematical foundations
of the input–output analysis. A unique feature is the use of the commercial optimization software, LINGO, whose equation-based interface is ideal for learning the input–output models. Thus, the third chapter is dedicated entirely to a description of this programming environment. The next six chapters describe different extensions of the input–output model for various industrial systems at different scales,
including industrial complexes, infrastructure systems, and supply chains. Further
extensions delve into the use of the framework for plant design, operational optimization, human resource planning, and life cycle assessment. All these chapters
provide ample illustrative case studies, accompanied by LINGO code to allow the
reader to duplicate the results and even to use these models as starting points for
their own case studies. In the final chapter of the book, we discuss some research
prospects that we consider to be important directions for the future input–output
analysis research
Learning SQL: Master SQL Fundamentals, 2/E.
No full textUpdated for the latest database management systems -- including MySQL 6.0, Oracle 11g, and Microsoft\u27s SQL Server 2008 -- this introductory guide will get you up and running with SQL quickly. Whether you need to write database applications, perform administrative tasks, or generate reports, Learning SQL, Second Edition, will help you easily master all the SQL fundamentals
Analysis of Chaotic Behavior in Non-linear Dynamical Systems: Models and Algorithms for Quaternions
No full textThis book presents a new approach for the analysis of chaotic behavior in non-linear dynamical systems, in which output can be represented in quaternion parametrization. It offers a new family of methods for the analysis of chaos in the quaternion domain along with extensive numerical experiments performed on human motion data and artificial data. All methods and algorithms are designed to allow detection of deterministic chaos behavior in quaternion data representing the rotation of a body in 3D space. This book is an excellent reference for engineers, researchers, and postgraduate students conducting research on human gait analysis, healthcare informatics, dynamical systems with deterministic chaos or time series analysis.
Keywords
Quaternion ModelsNon-linear Dynamical SystemsDynamics SystemsNonlinear SystemsChaosDeterministic ChaosQuaternion Time SeriesQuaternions Clusterin
The Developments and the Applications of the Numerical Algorithms in Simulating the Incompressible Magnetohydrodynamics with Complex Boundaries and Free Surfaces
No full textThis thesis presents an accurate and advanced numerical methodology to remedy difficulties such as direct numerical simulation of magnetohydrodynamic (MHD) flow in computational fluid dynamics (CFD), grid generation processes in tokamak fusion facilities, and the coupling between the surface tension force and Lorentz force in the metallurgical industry. In addition, on the basis of the numerical platform it establishes, it also investigates selected interesting topics, e.g. single bubble motion under the influence of either vertical or horizontal magnetic fields. Furthermore, it confirms the relation between the bubble’s path instability and wake instability, and observes the anisotropic (isotropic) effect of the vertical (horizontal) magnetic field on the vortex structures, which determines the dynamic behavior of the rising bubble.
The direct numerical simulation of magnetohydrodynamic (MHD) flows has proven difficult in the field of computational fluid dynamic (CFD) research, because it not only concerns the coupling of the equations governing the electromagnetic field and the fluid motion, but also calls for suitable numerical methods for computing the electromagnetic field. In tokamak fusion facilities, where the MHD effect is significant and the flow domain is complex, the process of grid generation requires considerable time and effort. Moreover, in the metallurgical industry, where multiphase MHD flows are usually encountered, the coupling between the surface tension force and Lorentz force adds to the difficulty of deriving direct numerical simulations
Tensor Algebra and Tensor Analysis for Engineers: With Applications to Continuum Mechanics -5/E
No full textThis new edition addresses such modern topics of continuum mechanics as electroand magnetoelasticity. In particular,
we derive the electrostatic and magnetic Maxwell stresses as additional examples for the application of the momentum
balance. Some classical topics of continuum mechanics as the mass transport and
mass balance equation are treated as well. Motivated by my students, I again added
many new problems with solutions. For example, one of these problems deals with
the kinematics of the picture frame test. Finally, I would like to thank Dr. Dieter
Merkle from the Springer-Verlag for his support in getting this edition published
Proceedings of the First International Conference on Theoretical, Applied and Experimental Mechanics
No full textICTAEM_1 treated all aspects of theoretical, applied and experimental mechanics including biomechanics, composite materials, computational mechanics, constitutive modeling of materials, dynamics, elasticity, experimental mechanics, fracture, mechanical properties of materials, micromechanics, nanomechanics, plasticity, stress analysis, structures, wave propagation. During the conference special symposia covering major areas of research activity organized by members of the Scientific Advisory Board took place.
ICTAEM_1 brought together the most outstanding world leaders and gave attendees the opportunity to get acquainted with the latest developments in the area of mechanics. ICTAEM_1 is a forum of university, industry and government interaction and serves in the exchange of ideas in an area of utmost scientific and technological importance
Implementasi Algoritma Long Short-Term Memory (LSTM) untuk Mendeteksi Penggunaan Kalimat Abusive Pada Teks Bahasa Indonesia
No full textPenelitian dengan menggunakan Jaringan Syaraf Tiruan atau Artificial Neural Network (ANN) sudah banyak dilakukan dan dikembangkan terlebih dalam hal prediksi, klasifikasi dan pendeteksian suatu objek. Salah satu perkembangan dari ANN adalah Recurrent Neural Network (RNN). Pada penelitian ini menggunakan salah satu arsitektur dari RNN yaitu Long Short Term Memory (LSTM) yang biasa digunakan untuk masalah deep learning. Arsitektur LSTM diimplementasikan untuk mendeteksi penggunaan kalimat abusive pada teks bahasa indonesia. Dataset yang digunakan pada penelitian mengalami ketidakseimbangan jumlah data pada setiap kelas sehingga dilakukan penambahan data untuk mengetahui pengaruh penambahan jumlah data terhadap hasil performansi arsitektur. Tahapan pengerjaan dalam penelitian ini dimulai dari pembangunan dataset, pra-pemrosesan data, pembuatan model pendeteksi kalimat abusive, pelatihan dan pengujian. Pengujian dilakukan terhadap arsitektur LSTM dan didapatkan hasil bahwa arsitektur ini hanya dapat memprediksi terhadap kelas mayoritas sehingga dilakukan penambahan penggunaan arsitektur yaitu Bidirectional LSTM (BiLSTM). Hasil uji coba menunjukkan BiLSTM lebih baik dalam mengklasifikasikan kalimat karena terdapat forward dan backward layer yang membuat proses pembelajaran model lebih kompleks dalam mengenal konteks kalimat dan hal ini akan meningkatkan keakuratan hasil klasifikasi pada setiap label. Pada LSTM hanya menghasilkan nilai F1 Score untuk kelas mayoritas saja sebesar 0.812 sedangkan pada BiLSTM sudah dapat menghasilkan nilai F1 Score untuk semua kelas
Optimasi Portofolio Saham dengan Pendekatan Ellipsoidal Uncertainty Set Studi Kasus : IDX30
No full textPortofolio adalah proporsi dana yang disimpan pada sekumpulan aset finansial seperti saham, deposito, obligasi dan lain sebagainya yang akan memberikan return maksimal atau resiko minimal. Portofolio yang dibahas dalam tugas akhir ini adalah portofolio saham. Pada umumnya metode Mean-Variance digunakan untuk mendapatkan portofolio optimal dengan mempertimbangkan dua parameter yaitu nilai harapan return dan variansi return (risiko). Dua parameter tersebut nilainya tidak diketahui secara pasti dan biasanya diestimasi dari data historis sehingga memungkinkan adanya error dan menghasilkan kinerja yang kurang baik. Untuk memperbaiki kinerja portofolio, dalam Tugas Akhir ini nilai harapan return dan variansi return dihitung dengan melibatkan Ellipsoidal Uncertainty Set. Berdasarkan hasil pengujian, portofolio yang melibatkan Ellipsoidal Uncertainty Set menghasilkan kinerja yang lebih baik yang diukur berdasarkan nilai return portofolio rata-rata dan sharpe ratio.
Kata Kunci – Markowitz mean-variance, portofolio, ellipsoidal uncertainty set , return portofolio
Abstrac
Structural Health Monitoring, Photogrammetry & DIC, Volume 6
No full textStructural Health Monitoring Photogrammetry & DIC, Volume 6: Proceedings of the 36th IMAC, A Conference and Exposition on Structural Dynamics, 2018, the sixth volume of nine from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Structural Health Monitoring & Damage Detection, including papers on