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The Erlang distribution is a special case of the Gamma distribution with the k shape parameter and the λ rate parameter. In this study, the parameter estimation of the Erlang distribution was carried out using the Maximum Likelihood method. In maximizing the function, an implicit and non-linear form is obtained, then it is solved using the Newton Raphson algorithm. Apart from Newton Raphon, the estimation of parameters was also carried out using the Fisher Scoring algorithm. The Fisher Scoring algorithm is similar to the Newton Raphson algorithm, the difference is that Fisher Scoring uses an matrix information. The result of parameter estimation in Erlang distribution using Newton Raphson algorithm which is applied to outgoing telephone call data that generated by Matlab R2010a software cannot be done simultaneously. Therefore, the parameter assessment is carried out on the k parameter first, then followed by the λ parameter estimation and the parameter and  = 0.6886812 are obtained. Meanwhile, the parameter estimation using the Fisher Scoring algorithm produces an equation that is not different from the Newton Raphson algorithm

Rice is the most important staple food for humans to have energy to carry out activities. The purpose of this study is to provide information to the public in the form of a reference for selecting rice based on consumer interest, so that it can be used as a decision making in buying rice. The Mamdani method is a method that is able to solve problems in the case of rice selection based on consumer references. The work process of the Sugeno method consists of four parts, namely fuzification, inference engine, implication function amplification and the last one is defuzzification. The final result, the Mamdani method has the characteristics of using the AND operator and using the min-max value. This research is in the form of a decision-making system in rice selection based on references from consumers by looking at four aspects of criteria such as price, quality, taste, and shape variables, these four aspects can be used as a reference in rice selection. Sugeno fuzzy logic to get the final value.The Mamdani method is a very effective method in selecting rice according to the needs and interests of consumers so that potential consumers can easily choose rice according to their interests and desired criteria.

Security issues of a system are factors that need to be considered in the operation of information systems, which are intended to prevent threats to the system and detect and correct any damage to the system. Distributed Denial of Services (DDOS) is a form of attack carried out by someone, individuals or groups to damage data that can be attacked through a server or malware in the form of packages that damage the network system used. Security is a mandatory thing in a network to avoid damage to the data system or loss of data from bad people or heckers. Packages sent in the form of malware that attacks, causing bandwidth hit continuously. Network security is a factor that must be maintained and considered in an information system. Ddos forms are Ping of Death, flooding, Remote controled attack, UDP flood, and Smurf Attack. The goal is to use DDOS to protect or prevent system threats and improve damaged systems. Computer network security is very important in maintaining the security of data in the form of small data or large data used by the user.

Citra memegang peranan sangat penting sebagai bentuk informasi seiring kemudahan yang ditawarkan dalam pengambilan, pemrosesan dan penyimpanannya masyarakat mulai banyak yang meninggalkan citra analog dan beralih ke citra digital. Namun terkadang timbul gangguan pada citra yang disebut noise sehingga menyebabkan kualitas citra yang diterima menjadi turun atau tidak sesuai dengan citra aslinya. Sehubungan dengan hal tersebut maka dalam penelitian ini bermaksud membuat aplikasi penghilangan noise atau pengurangan noise. Noise yang digunakan adalah additive Gaussian noise dan additive Laplacian noise, sedangkan Metode yang digunakan adalah wavelet tresholding analysis. Sedangkan Wavelet yang digunakan untuk mereduksi noise tersebut adalah wavelet daubchiess, coiflet dan symlet. Hasil analisis dari program denoising ini dapat disimpulkan bahwa jenis citra yang memiliki karakteristik normal contrast dan normal brightness memiliki hasil yang paling optimal di segala kondisi pengujian untuk jenis noise additive gaussian, dan additive laplacian gaussian. Untuk jenis citra yang memiliki karakteristik high brightness hasilnya lebih optimal bila dibandingkan dengan citra high contrast. Dalam aplikasi ini hanya menggunakan file citra berformat bitmap sebagai file pembanding yang dapat dideskripsikan melalui PSNR (peak signal to noise ratio), untuk pembuatan aplikasi ini digunakan software Matlab 7.0.4 sebagai software utamanya.