The study was conducted to calculate the level of student satisfaction in the use of online infor... more The study was conducted to calculate the level of student satisfaction in the use of online information systems KRS entry in UBD. The sample in this study amounted to 99 respondents. The sampling technique used in this study is the Random Sample. Data analysis methods used adalan quantitative analysis method using a test of the validity and reliability testing, test classic assumptions, multiple regression analysis. Of hypothesis testing is done using the F test and t test. Obtained from testing the hypothesis that the regression (X5). Hypothesis testing using t test showed that the five independent variables studied, only three variables found to significantly affect variavel Satisfaction (Y1), the variable contents, Convenience and Timeliness. While the accuracy and shape variables are not shown to affect the satisfaction variables. Then F can be determined through testing that variable content, accuracy, shape, ease, and accuracy of time together -the same proven effect on the satisfaction variables. Figures Adjusted R Square of 0.745 indicates that 74.5 percent satisfaction variables can be explained by the five independent variables. While the rest of 25.5% explained by other factors.
Program Studi Sistem Informasi, Fakultas Sains dan Teknologi, Universitas Islam Negeri Syarif Hid... more Program Studi Sistem Informasi, Fakultas Sains dan Teknologi, Universitas Islam Negeri Syarif Hidayatullah 1 nia_april12@yahoo.com, 2 nungkie04@yahoo.com Abstrak Secara institusional, Lembaga Pendidikan (LP) Maarif NU Jakarta merupakan lembaga pendidikan madrasah yang mendirikan satuan-satuan pendidikan mulai dari tingkat dasar, menengah hingga perguruan tinggi; di bawah naungan Departemen Pendidikan Nasional RI (dulu Departemen Pendidikan dan Kebudayaan RI) maupun madrasah; maupun Departemen Agama RI. Pada saat dilakukan penelitian, sudah terdapat Aplikasi Data Sekolah EMIS Direktorat Jenderal Pendidikan Islam Departemen Agama, namun belum dapat mengupdate informasi data madrasah tepat pada waktunya. Penelitian ini berusaha merancang dan membangun Aplikasi Manajemen Database Sekolah dengan metodologi pengembangan sistem siklus hidup pengembangan sistem atau System Development Life Cycle (SDLC), dengan model Waterfall. Aplikasi ini terdiri dari komponen : pengaturan penyimpanan data madrasah seluruh Indonesia yang berada dibawah naungan LP Maarif NU, input data madrasah, monitoring jumlah data madrasah di seluruh provinsi. Berdasarkan hasil pengujian, dapat disimpulkan bahwa aplikasi manajemen database sekolah telah berjalan sesuai tujuan pembuatannya.
Indonesia is an archipelago country which has thousand islands. It doesn't only need high nationa... more Indonesia is an archipelago country which has thousand islands. It doesn't only need high nationalism citizen to keep NKRI exist but it needs also war device. One of the most important device is tank. It has cannon which is used to shoot bullets. The aim of this final project is to implement Fuzzy Logic Controller in a manipulator as a position control. Fuzzy Logic Controller is used to control position of cannon both horizontally and vertically, based on the change of position that is measured by position sensors located on the joystick. From the experiment result, it is found that the position control of manipulator using Fuzzy Logic Controller has fine response. The controller parameters also have an influence to the movement and final position of manipulator, if the value given to the limit of membership function is not correct, then the manipulator will easily get oscillation. The rule base that is used also give a big influence to the response and final position of manipulator. To get the value of membership function limit or the rule base, it is better to use the trial and error method.
A multivariate non-linear model for synthetic generation (forecasting) of daily flow (discharge) ... more A multivariate non-linear model for synthetic generation (forecasting) of daily flow (discharge) series is presented in this dtudy. The time series is built upon a multilayer feedfoward neural network with an added multivariate random component normally distributed. The usual error backpropagation algorithm is used to train the network, with a sequaential training scheme using shuffled patterns for a stochastic search in the weight space. Using neural network model, study case of Blega River-Madura island. The results by calculating show that the solution based on backpropagation algorithms are consistent with those based multivariate regression model. They also indicate that backpropagation model in this paper is reasonable and feasible. Keyword : forecasting flow, neural network ABSTRAK Suatu model multivariate non-linier untuk membangkitkan seri data debit harian diperkenalkan dalam kajian ini. Suatu seri data dibangun di atas multilayer feedfoward neural network dengan menambahkan suatu komponen multivariate acak dalam distribuasi normal. Kesalahan yang umum backpropagation algortihm digunakan untuk melakukan pembelajaran jaringan, dengan suatu urutan rancangan pembelajaran menggunakan pengenalan pola untuk pencarian suatu bobot secara stokastik. Pemanfaatan model neural network, untuk kasus sungai Blega, pulau Madura. Hasil analisa menunjukkan bahwa penyelesaian berdasarkan backpropagation algorithm konsisten dengan analisa yang didasarkan pada model regresi multivariate. Hasil kajian juga menunjukkan bahwa backpropagation dalam kajian ini dapat diandalkan.
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