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"ABSTRAKBiasanya dalam jaringan telekomunikasi yang besar, protokol yang digunakanberaneka ragam. Oleh karena itu dibutuhkan suatu mediation device yang memiliki fungsiuntuk memetakan protokol yang heterogen menjadi sebuah framework definisi.Framework ini diberi code name Hanuman framework. Pada framework ini diperkenalkanmetoda minimalisasi invocation delay dengan menggunakan local interface pada JavaVirtual Machine (JVM) container tunggal dan metode bulk read pada pengaksesan atributentity bean secara berulang. Simulasi menunjukkan perbandingan invocalion delay untuklocal interface vs. remote interface adalah 60,44% dan perbandingan waktu transaksi bulkread vs. single read adalah 26,91% untuk pernbacaan 320 atribut.Gangguan yang terjadi dalam jaringan telekomunikasi dapat mengakibatkanrambatan masalah, oleh karena itu sumber penyebab gangguan harus dapat dideteksi dandikoreksi. Penyebab gangguan diberi nama problem dan akibat gangguan tersebut akanmemberikan alarm yang diberi nama symptom. Dalam penelitian ini diperkenalkan pulametoda inverse symptom dengan pendekatan Humming Distance, yaitu symptom daninversinya, secara teoritis akan memiliki kemampuan yang sama untuk menentukanproblem yang sebenamya, sehingga dapat direduksi. Hasil simulasi menunjukkan metodaini dapat mereduksi symptom hingga 56,94%. Posisi gangguan yang terjadi di suatujaringan dapat diketahui dengan menghitung tingkat korelasi antara problem dengansymptom. Dalam disertasi ini digunakan Bayesian Expectation Maximization (BEM), yaitusuatu teknik estimasi likelihood untuk mengatasi informasi yang tidak lengkap, hilang, ataurusak pada saat observasi pembentukan knowledge base. Hasil simulasi dengan sampledata 1000 buah dan missing data sekitar 70% menunjukkan bahwa metoda ini masihmampu untuk membentuk knowledge based, dan mencari root of fault.

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ABSTRACTIn a large telecommunication network, there are various of protocols that available.Hence there is a need for a mediation device that maps protocols with similar function ofpurpose to be as a definition homework. The framework?s code name is ?Hanuman?framework. This framework introduces invocation delay minimization method a localinterface method on Java Virtual Machine (JVM) single container and bulk readingmethod in accessing entitiy bean attribute continuously. The simulation shows that thecomparison of invocation delay gives local interface vs. Remote interface is 60.44% andthe transaction time of bulk read vs. Single read is 26. 91 % for the 320 attributes reading.A fault in a network can propagate to the other side of the network that generatesignyicant symptoms. The source of faults that occur in a communication network shouldbe detected and corrected The cause of these faults is called problem' and those faultswill generate alarms which named ?symptom ?. This research also introduces inversesymptom method with Hamming distance approach. This method states that symptoms andtheir inverses theoretically have the same meaning and therefore they can be reduced. Thesimulation shows that the reduction of symptoms number due to symptom propagation,and the used inverse symptom method will increase up to 56. 94%. Location of faults thatoccure in a network can be determinted by calculating the correlation level betweenproblems that cause the problem and symptoms, which is event detected in fault locatordevice. This dissertation use Bayesian Expectation Maximization (BEM) that is likelihoodestimation method to be used for overcome hidden information, missing data, or brokendata during observation in knowledge base development. Simulation result with 1000sample data and around 70% missing data shows that the method is capable to developknowledge based and to find the root of fault."

"Bauksit, sebagai bijih utama aluminium, mempunyai kualitas yang baik jika mengandung kadar alumina (Al2O2) yang tinggi dan reaktif silika (RSiO2) rendah. Penelitian ini dilakukan untuk memetakan distribusi spasial kadar Al2O3 dan RSiO2 menggunakan metode interpolasi ordinary kriging (OK) dan inverse distance weighting (IDW). Fitting variogram dilakukan dengan model spherical, exponential, dan gaussian, dan pemilihan variogram dilakukan dengan parameter residual sum of square (RSS). Dalam proses interpolasi IDW menggunakan power 1, 2, 3 dan 4. Evaluasi metode interpolasi terbaik dilakukan dengan parameter root mean square error (RMSE) dan mean error (ME). Hasil penelitian menunjukkan bawa metode interpolasi OK lebih baik dibandingkan dengan metode IDW. Peta hasil interpolasi OK menggambarkan bahwa distribusi bauksit dengan konsentrasi kadar Al2O3 ≥ 48% dan RSiO2 ≤ 5% menempati kurang lebih 50% dari luas daerah penelitian. Distribusi bauksit dengan kadar tersebut masih terbuka dan menerus ke arah utara, barat dan tenggara."

"Inverse limits with set-valued functions are quickly becoming a popular topic of research due to their potential applications in dynamical systems and economics. This brief provides a concise introduction dedicated specifically to such inverse limits. The theory is presented along with detailed examples which form the distinguishing feature of this work. The major differences between the theory of inverse limits with mappings and the theory with set-valued functions are featured prominently in this book in a positive light. "

"A study, by two of the major contributors to the theory, of the inverse scattering transform and its application to problems of nonlinear dispersive waves that arise in fluid dynamics, plasma physics, nonlinear optics, particle physics, crystal lattice theory, nonlinear circuit theory and other areas. A soliton is a localized pulse-like nonlinear wave that possesses remarkable stability properties. Typically, problems that admit soliton solutions are in the form of evolution equations that describe how some variable or set of variables evolve in time from a given state. The equations may take a variety of forms, for example, PDEs, differential difference equations, partial difference equations, and integrodifferential equations, as well as coupled ODEs of finite order. What is surprising is that, although these problems are nonlinear, the general solution that evolves from almost arbitrary initial data may be obtained without approximation. For such exactly solvable problems, the inverse scattering transform provides the general solution of their initial value problems. It is equally surprising that some of these exactly solvable problems arise naturally as models of physical phenomena. Simply put, the inverse scattering transform is a nonlinear analog of the Fourier transform used for linear problems. Its value lies in the fact that it allows certain nonlinear problems to be treated by what are essentially linear methods."

"Tugas akhir ini membahas mengenai distribusi invers gaussian yang merupakan distribusi probabilitas kontinu yang dapat mengatasi masalah kemencengan dan long-tail. Pembahasan meliputi fungsi kepadatan probabilitas, fungsi distribusi, fungsi survival, fungsi hazard, serta membentuk fungsi pembangkit momen. Kemudian, dicari bentuk mode, mean, variansi, kemencengan, dan kurtosis distribusi invers gaussian. Terakhir, dicari taksiran parameter dan distribusi dari taksiran parameter menggunakan MLE. Data Jug Bridge mengenai drainase digunakan sebagai ilustrasi.

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This paper discusses about Inverse Gaussian Distribution, the continued probability distribution which can solve skew and long tail problem. At first, we study about probability density function, cumulative distribution function, survival function, hazard function, and form moment generating function. Then, we seek mode, mean, variance, skewness, and kurtosis of inverse gaussian distribution. Finally, we try to discover parameter estimation and distribution of parameter estimation using MLE. Jugde Bridge data about drianage will be used as illustration."

"While the prediction of observations is a forward problem, the use of actual observations to infer the properties of a model is an inverse problem. Inverse problems are difficult because they may not have a unique solution. The description of uncertainties plays a central role in the theory, which is based on probability theory. This book proposes a general approach that is valid for linear as well as for nonlinear problems. The philosophy is essentially probabilistic and allows the reader to understand the basic difficulties appearing in the resolution of inverse problems. The book attempts to explain how a method of acquisition of information can be applied to actual real-world problems, and many of the arguments are heuristic."