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Öğe Accessibility evaluation of university hospital websites in Turkey(Springer Heidelberg, 2022) Macakoğlu, Şevval Seray; Peker, SerhatHospital web pages serve as an interactive communication resource to meet the needs of patients, healthcare professionals and other stakeholders. The aim of this study is to present the accessibility analysis of 58 university hospital websites in Turkey. For this purpose, websites of the selected university hospitals were analyzed using two different online automated testing tools. The results showed that university hospital websites in Turkey had low compliance levels according to the WCAG 2.0 guidelines. Most of the websites did not even meet the minimum requirements for compliance level A. In addition, almost all of the websites had broken links and about a third of the websites had problems with accessing from mobile devices. Moreover, some important clues that draw attention to the accessibility problems of websites are also discussed in this study. Hence, the results of this study provide feedback to developers and administrators to improve the accessibility of these websites.Öğe Accessibility, usability, and security evaluation of universities' prospective student web pages: a comparative study of Europe, North America, and Oceania(Springer Heidelberg, 2022) Macakoğlu, Şevval Seray; Peker, Serhat; Medeni, İhsan TolgaUniversities' prospective student web pages aim to disseminate information about their academic and social opportunities to their stakeholders; therefore, they must be accessible, of high quality of use and reliable. This article presents the accessibility, usage performance, and security analysis of prospective student web pages of 330 universities from three continents, namely Europe, North America, and Oceania. For this purpose, university websites were selected based on the Webometrics ranking, and online automated test tools were used. The results showed that websites at universities in North America paid more attention to accessibility and quality of use on prospective student web pages, followed by Oceanian and European websites. Evaluated websites had low compliance levels according to the WCAG 2.0 guideline. No major problems were identified in terms of usability and security, but there were certain points for improvement. Moreover, we present and discuss recommendations to developers and administrators for websites to resolve accessibility, usability, and security breaches and provide information equally to all stakeholders. Hence, this analysis report provides feedback to web developers to improve accessibility, quality of use, and security issues of university websites and their prospective student web pages.Öğe A combined approach for customer profiling in video on demand services using clustering and association rule mining(IEEE-Inst Electrical Electronics Engineers Inc, 2020) Güney, Sinem; Peker, Serhat; Turhan, ÇiğdemThe purpose of this paper is to propose a combined data mining approach for analyzing and profiling customers in video on demand (VoD) services. The proposed approach integrates clustering and association rule mining. For customer segmentation, the LRFMP model is employed alongside the k-means and Apriori algorithms to generate association rules between the identified customer groups and content genres. The applicability of the proposed approach is demonstrated on real-world data obtained from an Internet protocol television (IPTV) operator. In this way, four main customer groups are identified: high consuming-valuable subscribers, less consuming subscribers,less consuming-loyal subscribers and disloyal subscribers. In detail, for each group of customers, a different marketing strategy or action is proposed, mainly campaigns, special-day promotions, discounted materials, offering favorite content, etc. Further, genres preferred by these customer segments are extracted using the Apriori algorithm. The results obtained from this case study also show that the proposed approach provides an efficient tool to form different customer segments with specific content rental characteristics, and to generate useful association rules for these distinct groups. The proposed combined approach in this research would be beneficial for IPTV service providers to implement effective CRM and customer-based marketing strategies.Öğe A comparison of neural network approaches for network intrusion detection(Springer International Publishing Ag, 2020) Oney, Mehmet Uğur; Peker, SerhatNowadays, network intrusion detection is an important area of research in computer network security, and the use of artificial neural networks (ANNs) have become increasingly popular in this field. Despite this, the research concerning comparison of artificial neural network architectures in the network intrusion detection is a relatively insufficient. To make up for this lack, this study aims to examine the neural network architectures in network intrusion detection to determine which architecture performs best, and to examine the effects of the architectural components, such as optimization functions, activation functions, learning momentum on the performance. For this purpose, 6480 neural networks were generated, their performances were evaluated by conducting a series of experiments on KDD99 dataset, and the results were reported. This study will be a useful reference to researchers and practitioners hoping to use ANNs in network intrusion detection.Öğe Designing a data warehouse for earthquake risk assessment of buildings: A case study for healthcare facilities(2021) Özcan, Mert; Peker, SerhatSince earthquake is one of the most dangerous natural phenomena, it is necessary to be prepared for the negative consequences of the earthquake in advance. It is very important that healthcare facilities must continue to provide service during and after an earthquake. Therefore, this study focuses on designing a data warehouse model for the earthquake risk assessment of healthcare facilities which are needed much more than other public buildings phys-ically. The proposed design utilizes a fact constellation schema model and take a public legislation containing principles regarding identification of risky buildings. This solution can provide a repository for data regarding earthquake risk assessment from different operational systems and play a key role in supporting critical decision-making process.Öğe The effects of the content elements of online banner ads on visual attention: Evidence from an-eye-tracking study(MDPI, 2021) Peker, Serhat; Menekse Dalveren, Gonca Gokce; İnal, YavuzThe aim of this paper is to examine the influence of the content elements of online banner ads on customers' visual attention, and to evaluate the impacts of gender, discount rate and brand familiarity on this issue. An eye-tracking study with 34 participants (18 male and 16 female) was conducted, in which the participants were presented with eight types of online banner ads comprising three content elements-namely brand, discount rate and image-while their eye movements were recorded. The results showed that the image was the most attractive area among the three main content elements. Furthermore, the middle areas of the banners were noticed first, and areas located on the left side were mostly noticed earlier than those on the right side. The results also indicated that the discount areas of banners with higher discount rates were more attractive and eye-catching compared to those of banners with lower discount rates. In addition to these, the participants who were familiar with the brand mostly concentrated on the discount area, while those who were unfamiliar with the brand mostly paid attention to the image area. The findings from this study will assist marketers in creating more effective and efficient online banner ads that appeal to customers, ultimately fostering positive attitudes towards the advertisement.Öğe Kiyaslio: a gamified mobile crowdsourcing application for tracking price dispersion in the grocery retail market(Emerald Group Publishing Ltd, 2022) Macakoğlu, Şevval Seray; Çınar, Burcu Alakuş; Peker, SerhatPurpose In the recent years, the rapid growth of the grocery retailing industry has created a great heterogeneity in prices across sellers in the market. Online price comparison agents which are key mechanisms to solve this problem by providing prices from different sellers. However, there are many sellers in the grocery industry do not offer online service, and so it is impossible to automatically retrieve price information from such grocery stores. In this manner, crowdsourcing can become an essential source of information by collecting current price data from shoppers. Therefore, this paper aims to propose Kiyaslio, a gamified mobile crowdsourcing application that provides price information of products from different grocery markets. Design/methodology/approach Kiyaslio has been developed through leveraging the power of crowdsourcing technology. Game elements have also been used to increase the willingness of users to contribute on price data entries. The proposed application is implemented using design science methodology, and it has been evaluated through usability testing by two well-known techniques which are the system usability scale and the net promoter score. Findings The results of the usability tests indicate that participants find Kiyaslio as functional, useful and easy to use. These findings prove its applicability and user acceptability. Practical implications The proposed platform supports crowd sourced data collection and could be effectively used as a tool to support shoppers to easily access current market product prices. Originality/value This paper presents a mobile application platform for tracking current prices in the grocery retail market whose strength is based on the crowdsourcing concept and incorporation of game elements.Öğe Predicting firms' performances in customer complaint management using machine learning techniques(Springer International Publishing Ag, 2022) Peker, SerhatWith the globalization and more intense increasing competition, customer relationship management (CRM) is an important issue in today's business. In this manner, managing customer complaints which is a critical part of CRM presents firms with an is an opportunity to make long-lasting and profitable relationships with customers. In this context, the aim of this paper is to predict firms' performances in online customer complaint management using machine learning algorithms. This study utilizes data obtained from Turkey's largest and well-known third-party online complaint platform and employs three popular machine learning classifiers including decision tree (DT), random forests (RF) and support vector machines (SVM). The results show that the RF algorithm performed better in firms' performance prediction compared to other ML algorithms.Öğe Prioritizing use cases for development of mobile apps using AHP: A case study in to-do list apps(Springer, 2019) Yıldırım, Onur; Peker, SerhatWith the rapid development of communication technologies, the uses of mobile apps have increased in a significant manner over the past few years. Every day many different types of mobile apps are uploaded to mobile application markets. However, it is very difficult for the apps to stay competitive and survive in these marketplaces. Covering the requirements fitting the needs of users is one of significant factors in mobile apps’ success in the market. In this regard, this study aims to use Analytic Hierarchy Process (AHP) to evaluate the use cases for the development of mobile apps. The results show that AHP provides an efficient tool which can be used to determine importance of the requirements in mobile apps considering users’ preferences. © 2019, Springer Nature Switzerland AG.Öğe Türk üniversitelerinin aday öğrenci web sayfalarının erişilebilirlik, kullanılabilirlik ve güvenlik açısından değerlendirilmesi(2022) Medeni, Tunç Durmuş; Peker, Serhat; Medeni, İhsan Tolga; Macakoglu, Sevval SerayÜniversitelerin aday öğrenci web sayfaları sosyal ve akademik anlamda paydaşlarına bilgi sağlama konusunda önemli bir iletişim kaynağıdır, bu sebeple bu sayfaların kullanımının kolay, güvenli ve erişilebilirlik standartlarına uygun olması beklenir. Bu makale, Türkiye’deki üniversitelerin aday öğrenci web sayfalarının erişilebilirlik, kullanılabilirlik ve güvenlik değerlendirmesini sunmaktadır. Bu amaçla, üniversitelerin aday öğrencilerine yönelik 147 adet web sayfası tespit edilmiş ve çeşitli otomatik test araçları ile değerlendirilmiştir. Ayrıca, değerlendirme sonrası üniversitelerin benzer davranış kalıplarının belirlenmesi amacıyla kümeleme analizi yapılmıştır. Sonuçlar, devlet ya da vakıf fark etmeksizin üniversitelerin büyük çoğunluğunun erişilebilirlik ve kullanım kalitesine daha az dikkat ettiğini göstermiştir. Değerlendirilen web sayfalarının WCAG 2.0 yönergesine göre düşük uyumluluk seviyesine sahip olduğu görüldü. Güvenlik açısından kritik bir sorun tespit edilmemiştir ancak geliştirilmesi gereken belirli noktalar bulunmuştur. Ayrıca bu çalışma, web sayfalarının erişilebilirlik, kullanılabilirlik ve güvenlik ihlallerin çözülebilmesi için geliştiricilere ve yöneticilere bazı değerli öneriler sunmaktadır.Öğe Üniversite web sitesi ana sayfalarının kullanılabilirliğinin değerlendirilmesi: Göz izleme yaklaşımı(2021) Dalveren, Gonca Gökçe Menekşe; Peker, SerhatZiyaretçilerin ilk karşılandığı yer olan üniversite web sitesi ana sayfalarının iyi bir tasarıma sahip olması ve ziyaretçileri tarafından kullanışlı bulunması, aday öğrenci, araştırmacı, yerli ve yabancı akademik kuruluşlar gibi dış paydaşların üniversiteye olan ilgilerini artırmak ve sürekli kılmak adına oldukça kilit rol oynamaktadır. Bu motivasyondan yola çıkarak bu çalışma, seçilen beş Türk üniversitesinin ana sayfa tasarımlarını kullanılabilirlik yönünden değerlendirmeyi amaçlamaktadır. Bu amaç doğrultusunda göz izleme yaklaşımı kullanılmış, bir insan-bilgisayar etkileşimi laboratuvarındaki göz izleme cihazı ve diğer donanımlar vasıtasıyla katılımcıların ilgili web sayfalarıyla olan etkileşimlerini incelenmiştir. Deneklerin görüntüleme davranış verilerinin belirli göz hareketlerine göz izleme cihazı yazılımı kullanılarak odaklanma sayısı, ilk ziyarete kadar geçen süre, ve toplam ziyaret süresi olarak sınıflandırılmasından sonra, ANOVA methodu ile istatistiksel detaylı analizi yapılmıştır. Elde edilen bulgular, kullanıcıların ilgili sayfalardaki menü bileşenlerini bulma görevlerini yerine getirdikleri halde, bu sayfaların kullanılabilirliğinde istenilen bileşeni kısa sürede farkedememe, farklı alanlarda arama gibi zorluklarla karşılaştıklarını göstermiştir. Bu çalışma, bu alanda çalışan araştırmacılara, üniversite web sayfalarının göz izleme yöntemi ile kullanılabilirliklerinin değerlendirmesine ilişkin değerli bir referans olmasının yanı sıra paydaşların ilgisini çeken ve daha kullanıcı merkezli üniversite web sitesi ana sayfalarının tasarlanması yönünde çıkarımlar sunmaktadır.
