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INDONESIA
Jurnal Sistem Komputer
Published by Universitas Diponegoro
ISSN : -     EISSN : -     DOI : -
Core Subject : Science,
Computer Science & IT
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Articles 5 Documents
 1 
Search results for , issue "Vol 3, No 1 (2013)" : 5 Documents clear
Pengembangan Aplikasi Workgroup untuk Berbagi Ide dan Diskusi di Fakultas Teknik UNDIP Iman Satoto, Kodrat; Kridalukmana, Rinta
Jurnal Sistem Komputer Vol 3, No 1 (2013)
Publisher : Jurnal Sistem Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jsk.v3i1.46

Abstract

Abstract – Nowadays, information technology is used to support many kinds of organization activities. In education organization, such as Engineering Faculty of Diponegoro University, one of many activities that needs to be supported by application is about to share idea and discussion between people who collaborates in there. To support this kind of activity, web based application is one solution that can be build considering of the raise of Web 2.0 technology which enable people to interact each other and shares many kind of digital resources. Developed using CodeIgniter Framework, this application will also support sending broadcast information via email and short message service (SMS). In this paper, this application is mentioned as workgroup application
Model Artificial Neural Network based on Particle Swarm Optimization Model For Inflation Rate Forecast Dwi Raharjo, Joko S
Jurnal Sistem Komputer Vol 3, No 1 (2013)
Publisher : Jurnal Sistem Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jsk.v3i1.43

Abstract

Prediction of inflation is needed by policy makers, investors and companies to plan economic strategies in anticipation of the inflation rate and financial planning in the future. Accurate prediction of the inflation rate will contribute to making the right decision. Many modeling used by researchers to obtain the best prediction accuracy is the most common and econometric models (eg AR, MA, ARIMA, etc.) but in the development, models of artificial neural network (ANN) from widely used because it proved that ANN models have better accuracy econometric models, especially compared to the predictions of inflation. ANN reliability further developed by several researchers through integration with other models, one of which integration between the ANN is optimized by particle swarm optimization (PSO). This integration is used to overcome weaknesses and improve the mutual advantages to each model in order to obtain a better measurement results. Testing capabilities in research, testing the ability of artificial neural network models (ANN), integrated with particle swarm optimization (PSO) based on the weight attribute or attribute weighting, hereinafter referred to awPSO-ANN. Test results show that the prediction rate of general inflation awPSO-ANN gives better RMSE value (0.157) compared ANN before the optimization (0.181)
Sistem Interkoneksi Data Antar Unit Guna Mendukung Keberhasilan Akreditasi Program Studi Pada Fakultas Teknik UNS widodo, purwadi joko; Setiono, Setiono; Diharjo, Kuncoro; Marwoto, Sofa
Jurnal Sistem Komputer Vol 3, No 1 (2013)
Publisher : Jurnal Sistem Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jsk.v3i1.41

Abstract

The research was carried out in order to build a web-based computer application systems to support the smooth process of accreditation of study programs by BAN PT at the Faculty of Engineering, University Eleven March Surakarta. It is planned to build a system that support the accreditation process of study programs, particularly in preparation of Borang Akreditasi. The system was built for the purpose of a database system to accommodate the extraction data from administrative units in the Faculty of Engineering, University Sebelas Maret Surakarta. Development of systems and applications is done using open-source software Linux-Ubuntu Server operating system, the MySQL database server, and PHP as programming language. The end result of this engineering-research is developed a system that can support the implementation of the accreditation in the Faculty of Engineering Universitas Sebelas Maret Surakarta.
Tracer Alumni berbasis Website (Kasus : Sistem Komputer Fakultas Teknik UNDIP) Teguh Martono, Kurniawan
Jurnal Sistem Komputer Vol 3, No 1 (2013)
Publisher : Jurnal Sistem Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jsk.v3i1.47

Abstract

Abstract— Alumni is one part of being an educational institution. The presence of alumni on the current one part in the assessment of accreditation an institution. By knowing where alumni of the institution to measure the extent of success in educating up to ready to work. To find out where the alumni can use the survey mentode often or by using the questionnaire that will be distributed during one pass, or by using other media that can be used to track the whereabouts of alumni. The development of information technology that exists today can play a role in supporting the search alumni. The role will involve is to make it easier for interested parties are concerned educational institutions, alumni, and stakeholeder. One of the use of information technology is to utilize the Internet network. By utilizing this network the system is built to connect globally, so it will be easier when going to access information on the alumni or feedback. The results obtained from this study is an alumni of tracer application that can be used to track the whereabouts of alumni. The system can run well on multiple web browsers. Web browsers are used in this test is by using Internet Explorer, Mozilla, Opera and Chrome. Keywords: Alumni Tracer, PHP, Information Technology
Gujarati Handwritten Numeral Optical Character through Neural Network and Skeletonization kamal, moro; FAKIR, Mohammed; EL KESSAB, Badr Dine; BOUIKHALENE, Belaid; DAOUI, Cherki
Jurnal Sistem Komputer Vol 3, No 1 (2013)
Publisher : Jurnal Sistem Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jsk.v3i1.48

Abstract

This paper deals with an optical character recognition (OCR) system for handwritten Gujarati numbers. One may find so much of work for Indian languages like Hindi, Kannada, Tamil, Bangala, Malayalam, Gurumukhi etc, but Gujarati is a language for which hardly any work is traceable especially for handwritten characters. The features of Gujarati digits are abstracted by four different profiles of digits. Skeletonization and binarization are also done for preprocessing of handwritten numerals before their classification. This work has achieved approximately 80,5% of success rate for Gujarati handwritten digit identification.

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