7 research outputs found

    User Story Software Estimation:a Simplification of Software Estimation Model with Distributed Extreme Programming Estimation Technique

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    Software estimation is an area of software engineering concerned with the identification, classification and measurement of features of software that affect the cost of developing and sustaining computer programs [19]. Measuring the software through software estimation has purpose to know the complexity of the software, estimate the human resources, and get better visibility of execution and process model. There is a lot of software estimation that work sufficiently in certain conditions or step in software engineering for example measuring line of codes, function point, COCOMO, or use case points. This paper proposes another estimation technique called Distributed eXtreme Programming Estimation (DXP Estimation). DXP estimation provides a basic technique for the team that using eXtreme Programming method in onsite or distributed development. According to writer knowledge this is a first estimation technique that applied into agile method in eXtreme Programming

    Pengujian Usability Website Menggunakan System Usability Scale

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    Pemerintah Kota Tegal menyediakan portal layanan publik secara elektronik melalui website dengan alamat domain www.tegalkota.go.id. Rendahnya tingkat penggunaan website Pemerintah Kota Tegal dan masalah-masalah USAbility yang biasanya muncul dalam desain website Pemerintah, menunjukkan perlu dilakukannya pengujian USAbility. Pengujian USAbility dijalankan untuk mengukur aspek-aspek USAbility yaitu: efektivitas, efisiensi, dan kepuasan pengguna. Penelitian ini menggunakan kuesioner System Usability Scale (SUS) untuk mengukur aspek-aspek USAbility menurut penilaian subyektif pengguna. Hasil penelitian dapat menggambarkan tingkat USAbility website Pemerintah Kota Tegal dari sudut pandang pengguna

    Learning From the Case Studies, How Global Software Development Process is Executed in an Agile Method Environment

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    . The biggest challenge in Global Software Development (GSD) is the efficiency of time to develop. GSD provides a guidance to use the process along with up-front analysis method like unified process or waterfall method. Although, it gives a benefit through comprehensive documentation and its clearness, it gives inhibits the organization which wants use GSD but in a rush. Agile methods claim an efficient and the effective approach to software development. This paper reports on how organizations combine the GSD process with agile methods like eXtreme Programming (XP), Scrum, Agile Unified Process (Agile UP), Feature Driven Development (FDD), and Microsoft Solution Framework Agile (MSF Agile). The paper uses case study to get organization experiences and describe useful practices for the organization that want to implement GSD with an agile method.

    Pemanfaatan Dublin Core Metadata Term Dalam Pengembangan Perpustakaan Digital Berbasis Semantik

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    Pemanfaatan metadata yang disediakan secara online, sebagai contoh metadata dalam dublin core, memiliki pengaruh yang sangat besar dalam pertukaran informasi digital saat ini. Galeri, Perpustakaan, Arsip, Museum saat ini mulai membuka data dalam menyamakan penemuan standar yang lebih baik bagi sumber daya elektronik dimasa depan.Temu kembali informasi bersejarah menjadi tujuan yang paling utama. Dublin Core adalah satu set metadata yang terdiri dari 15 set elemen telah dibangun untuk mendukung temu kembali informasi perpustakaan dengan lebih mudah. Dublin core term telah terstandarmelalui sebuah konsensus internasonal danpenggunaannya lebih sederhana dibanding MARC dalam pengelolaan data di perpustakaan. Oleh karenanya perpustaaan dan museum saat ini mulai menggunakan kosakata standar dari Dublin Core – hal ini dilakukan untuk mendukung wacana perpustakaan dengan akses yang terbuka. Tujuan dari penulisan ini adalah untuk mengimplementasikan 15 term dalam Dublin Coredalam studi kasus perpustakaan serta mengujinya melalui uji validator RDF

    An Approach for Risk Estimation in Information Security Using Text Mining and Jaccard Method

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    Involvement of digital information in almost of enterprise sectors makes information having value that must be protected from information leakage. In order to obtain proper method for protecting sensitive information, enterprise must perform risk analysis of threat. However, enterprises often get limitation in measuring risk related information security threat. Therefore, this paper has goal to give approach for estimating risk by using information value. Techniques for measuring information value in this paper are text mining and Jaccard method. Text mining is used to recognize information pattern based on three classes namely high business impact, medium business impact and low business impact. Furthermore, information is given weight by Jaccard method. The weight represents risk levelof information leakage in enterprise quantitatively. Result of comparative analysis with existing method show that proposed method results more detailed output in estimating risk of information security threat
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