LİBYA ENTEGRASYON VE KALKINMA PROGRAMI AĞ SİSTEMİ PERFORMANSININ SİNİR AĞLARI YÖNTEMİYLE DEĞERLENDİRİLMESİ

Year 2018, Volume: 2 Issue: 2, 9 - 18, 01.02.2019

Gaffala İsaa Aborısha Doğu Çağdaş Atilla , Çağatay Aydın

Abstract

Özet

Libya Entegrasyon ve Kalkınma Programı, hem öğrencilerin hem de mezunların eğitimsel fırsatları yakalamasına

yönelik bir İnternet temelli hizmettir. Bu program, öğrencilerin işlerini kolaylaştırma hedefiyle Libya

hükümetine sunulmuştur. Bu çalışma, insanların sistem hakkındaki görüşlerini toplamak için (bu hizmetlerin

kullanımından memnuniyeti ölçmek için) geniş bir ankete ağırlıklandırılmıştır. Anket, adayların bu sistemle

karşılaştıktan sonra yorumlarını derinlemesine açıklamalarını sağlamak için tasarlandı. Anket, SurveyMonkey

anket platformu kullanarak çevrimiçi olacak şekilde tasarlanmıştır. Aday anket sayfasına giriş yaptıktan sonra

toplam 46 soruya cevap verecektir. Tüm yanıtlar ulaştığında aday numarası ve yorumları dahil tüm veri toplanmış

olmakta ve analiz gerçekleşmeye başlamış olmaktadır. Ön beslemeli sinir ağı bu çalışmada adayların

cevaplarından ders almak ve daha sonra önceden belirlenmiş bir şekilde değerlendirme kararını vermek

için kullanılmıştır. Veriler Matlab kullanılarak analiz edilmiş ve (Lpfiad) kaydedilen inceleme sonuçları %56

olarak gerçekleşmiştir.

Keywords

Değerlendirme, Eğitim, Anket, Sinir ağı, Sonuçlar, Performans, Hedef, geliştirme

LIBYAN PROGRAM FOR INTEGRATION AND DEVELOPMENT WEB SYSTEM PERFORMANCE ASSESSMENT USING NEURAL NETWORK

Abstract

Abstract

The Libyan Integration and Development Program (LPFIAD) is an Internet-based service that supports students

to achieve educational opportunities in both graduates and students. This program was presented by

the Libyan government to ease the efforts of students and ensure reasonable opportunities among them.

This study is biased to a broad survey to gather people’s opinions about the system (to measure satisfaction

with the use of these services). The poll is designed to make candidates express their comments in depth after

facing this system. The poll is designed to be online using an online survey platform from SurveyMonkey.

Once the candidate is logged on to the questionnaire page, he/she will begin to answer a total of 46 questions

and have already been categorized. Once the answers have been obtained, we have collected all the

data including the candidate IDs and their comments, and we have applied the analysis to this data to evaluate

the said system. The front neural Feeding Network (FFNN) is used in this study to learn from the candidates

‘ answers and then submit the evaluation decision on a predetermined basis. Data is analyzed using

the Matlab program and the review results recorded by( Lpfiad) by 56%.

Keywords

Assessment. Education, Survey, Neural network, Scores, Performance, Target, Enhancement

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