scholarly journals Pengembangan Distribusi Luxpati Berbasis Ubuntu Sebagai Penunjang Proses Belajar Mengajar di Jurusan Pendidikan Teknik Informatika

2015 ◽  
Vol 4 (3) ◽  
pp. 87
Author(s):  
Kadek Jeny Femila Devi ◽  
I Ketut Resika Arthana ◽  
I Gede Mahendra Darmawiguna
Keyword(s):  
Life Cycle ◽  
Software Development ◽  
Open Source ◽  
Development Life Cycle ◽  
Software Development Life Cycle ◽  
Bahasa Indonesia

Penelitian ini bertujuan untuk pengembangan Distribusi Luxpati Berbasis Ubuntu Sebagai Penunjang Proses Belajar Mengajar Mengajar di Jurusan Pendidikan Teknik Informatika. Ubuntu merupakan salah satu Distribusi Linux yang paling populer digunakan. Selain karena bersifat open source juga dikarenakan Ubuntu dilengkapi oleh beberapa aplikasi standar yang dibutuhkan oleh pengguna. Namun, baik ubuntu ataupun distro turunannya belum ada yang khusus dikembangkan untuk keperluan pemprograman, desain grafis dan jaringan. Pengembangan Distribusi Luxpati Berbasis Ubuntu Sebagai Penunjang Proses Belajar Mengajar di Jurusan Pendidikan Teknik Informatika menggunakan siklus pengembangan perangkat lunak SDLC (Software Development Life Cycle) dengan model ADDIE, yaitu Analysis, Desain, Development, Implementation, dan Evaluation. Pada Distribusi Luxpati nantinya terdapat aplikasiaplikasi penunjang belajar-mengajar untuk Jurusan Pendidikan Teknik Informatika yang dibutuhkan oleh mahasiswa maupun dosen. Selain itu, proses remastering ini juga melingkupi pembuatan repository lokal, perubahan desain tampilan, pemberian identitas baru, penambahan command bahasa Indonesia pada terminal, serta pembuatan modul web penggunaan aplikasi. Pengembangan Distribusi Luxpati ini diimplementasikan pada Ubuntu 12.04.4 LTS dengan software Remastersys. Seluruh kebutuhan fungsional telah berhasil diimplementasikan sesuai dengan rancangan dan telah diuji pengunaan pada hardware komputer yang berbeda dan kebenaran proses dari perangkat lunak Distribusi Luxpati.

scholarly journals Aplikasi Kamus Bahasa Indonesia – Bahasa Italia Berbasis Android

ICIT Journal ◽  
2021 ◽  
Vol 7 (1) ◽  
pp. 91-100
Author(s):  
Ike Putri Kusumawijaya
Keyword(s):  
Life Cycle ◽  
Software Development ◽  
Development Life Cycle ◽  
Software Development Life Cycle ◽  
Bahasa Indonesia

Perkembangan teknologi di bidang informasi maupun komunikasi mengalami peningkatan sejalan dengan perkembangan arus globalisasi. Salah satu contoh dari pertumbuhan teknologi disaat ini yakni kemajuan teknologi pada gadget dan juga ponsel pintar. Informasi dalam bentuk lisan dan juga tulisanbanyak disampaikan dalam suatu bahasa yang berlainan. Sehingga benar-benar dibutuhkan media yang bisa menerjemahkan dari satu bahasa menjadi bahasa lainnya yakni kamus. Penggunaan dari media cetak konvensional diduga tidak praktis dan ekonomis bagi pengguna sehingga dibutuhkan sebuah aplikasi kamus berbasis mobile agar aplikasi tersebut dapat digunakan oleh pengguna dengan cepat dan tanpa terhalang oleh batasan ruang dan waktu. Pada aplikasi berbasis mobile terdapat beberapa platform yang bisa digunakan, contohnya adalah platform Android dengan menggunakan bahasa pemrograman Java. Tujuan dari penelitian ini adalah membuat sebuah aplikasi kamus bahasa Indonesia – bahasa Italia berbasis Android. Manfaat pengembangan aplikasi adalah untuk membantu pengguna dalam mempelajari bahasa Italia. Penelitian ini menggunakan Software Development Life Cycle sebagai metode penelitian yang digunakan. Aplikasi ini dapat menjadi tambahan referensi dalam pembelajaran bahasa Italia. Aplikasi kamus ini menyediakan dua fitur, yaitu fitur cari katauntuk mencari arti dari Indonesia ke Italia maupun sebaliknya dan fitur tambah kata untuk menambahkan kata baru sesuai keinginan pemakai. Kata kunci: kamus, bahasa Indonesia, bahasa Italia, Android

scholarly journals Pengembangan Aplikasi Berbasis Web untuk Menampilkan Absensi dan Nilai Akhir Peserta Didik (Studi Kasus di SMP Negeri 32 Semarang)

2013 ◽  
Vol 1 (4) ◽  
pp. 129-144
Author(s):  
Patricia Evericho Mountaines ◽  
Kodrat Iman Satoto ◽  
Rinta Kridalukmana
Keyword(s):  
Life Cycle ◽  
Software Development ◽  
Open Source ◽  
Life Cycle Model ◽  
Cycle Model ◽  
Development Life Cycle ◽  
Software Development Life Cycle

Aplikasi berbasis web telah banyak digunakan sebagai media penyampai informasi disektor pendidikan. Namun, SMP Negeri 32 Semarang belum mulai memanfaatkan teknologi ini.Hal ini dipandang kurang efektif dan efisien, terutama oleh peserta didik. SMP Negeri 32Semarang kini membutuhkan aplikasi berbasis web yang mampu menampung informasi tentangsekolah sekaligus menampilkan data absensi dan nilai akhir peserta didik.Agar dalam implementasi aplikasi tidak memakan biaya mahal, maka aplikasidikembangkan dengan menggunakan perangkat lunak open source. Untuk bahasa pemogramanmenggunakan PHP sedangkan untuk basis data menggunakan MySQL, yang sudah terangkumdalam satu paket aplikasi XAMPP. Metode pengembangan aplikasi yang digunakan adalahmetode SDLC (Software Development Life Cycle) model Waterfall.Dari hasil pengujian yang telah dilakukan, diketahui bahwa hasil keluaran yangditunjukkan selama proses pengujian sesuai dengan rancangan sistem. Maka dapat disimpulkanbahwa Aplikasi Berbasis Web untuk Menampilkan Absensi dan Nilai Akhir Peserta Didik ini telahberhasil dikembangkan dan dapat berfungsi dengan baik.

Computable metrics of personal performance in software development teams

2019 ◽  
Author(s):  
Andriy Lishchytovych ◽  
Volodymyr Pavlenko
Keyword(s):  
Life Cycle ◽  
Software Development ◽  
Product Quality ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Project Manager ◽  
Development Life Cycle ◽  
Software Product ◽  
Software Development Life Cycle

The present article describes setup, configuration and usage of the key performance indicators (KPIs) of members of project teams involved into the software development life cycle. Key performance indicators are described for the full software development life cycle and imply the deep integration with both task tracking systems and project code management systems, as well as a software product quality testing system. To illustrate, we used the extremely popular products - Atlassian Jira (tracking development tasks and bugs tracking system) and git (code management system). The calculation of key performance indicators is given for a team of three developers, two testing engineers responsible for product quality, one designer, one system administrator, one product manager (responsible for setting business requirements) and one project manager. For the key members of the team, it is suggested to use one integral key performance indicator per the role / team member, which reflects the quality of the fulfillment of the corresponding role of the tasks. The model of performance indicators is inverse positive - the initial value of each of the indicators is zero and increases in the case of certain deviations from the standard performance of official duties inherent in a particular role. The calculation of the proposed key performance indicators can be fully automated (in particular, using Atlassian Jira and Atlassian Bitbucket (git) or any other systems, like Redmine, GitLab or TestLink), which eliminates the human factor and, after the automation, does not require any additional effort to calculate. Using such a tool as the key performance indicators allows project managers to completely eliminate bias, reduce the emotional component and provide objective data for the project manager. The described key performance indicators can be used to reduce the time required to resolve conflicts in the team, increase productivity and improve the quality of the software product.

A Systematic Review and Catalog of Security Metric during the Secure Software Development Life Cycle

2020 ◽  
Vol 13 ◽  
Author(s):  
Sampada G.C ◽  
Tende Ivo Sake ◽  
Amrita
Keyword(s):  
Systematic Review ◽  
Life Cycle ◽  
Software Development ◽  
Software Security ◽  
Security Assessment ◽  
Security Metrics ◽  
Development Life Cycle ◽  
Development Processes ◽  
Secure Software Development ◽  
Software Development Life Cycle

Background: With the advancement in the field of software development, software poses threats and risks to customers’ data and privacy. Most of these threats are persistent because security is mostly considered as a feature or a non-functional requirement, not taken into account during the software development life cycle (SDLC). Introduction: In order to evaluate the security performance of a software system, it is necessary to integrate the security metrics during the SDLC. The appropriate security metrics adopted for each phase of SDLC aids in defining the security goals and objectives of the software as well as quantify the security in the software. Methods: This paper presents systematic review and catalog of security metrics that can be adopted during the distinguishable phases of SDLC, security metrics for vulnerability and risk assessment reported in the literature for secure development of software. The practices of these metrics enable software security experts to improve the security characteristics of the software being developed. The critical analysis of security metrics of each phase and their comparison are also discussed. Results: Security metrics obtained during the development processes help to improve the confidentiality, integrity, and availability of software. Hence, it is imperative to consider security during the development of the software, which can be done with the use of software security metrics. Conclusion: This paper reviews the various security metrics that are meditated in the copious phases during the progression of the SDLC in order to provide researchers and practitioners with substantial knowledge for adaptation and further security assessment.

Software Traceability – A Key to Improve Software Evolution

2016 ◽  
Vol 685 ◽  
pp. 881-885
Author(s):  
Alexey Ponomarev ◽  
Hitesh S. Nalamwar
Keyword(s):  
Life Cycle ◽  
Software Development ◽  
Software Evolution ◽  
Software Traceability ◽  
Development Life Cycle ◽  
Methods And Techniques ◽  
Software Development Life Cycle

Software traceability is an important part in software development that is getting more and more attention nowadays from organizations and researchers. The paper outlines the importance, different methods and techniques of software traceability. It also explains the need of automating traceability, problems and drawbacks of existing traceability tools, the ongoing challenges facing implementation of traceability in software development life cycle, and finally the paper discusses whether software traceability should be mandated as a key to improve software evolution

Project Implementation Decision Using Software Development Life Cycle Models: A Comparative Approach

2021 ◽  
Vol 28 (1) ◽  
Author(s):  
M.A. Adeagbo ◽  
J.E.T. Akinsola ◽  
A.A. Awoseyi ◽  
F. Kasali
Keyword(s):  
Life Cycle ◽  
Comparative Analysis ◽  
Software Development ◽  
Cost Estimation ◽  
Comparative Approach ◽  
Project Implementation ◽  
Development Life Cycle ◽  
Software Development Life Cycle ◽  
Waterfall Model ◽  
Spiral Model

Selection of a suitable Software Development Life Cycle (SDLC) model for project implementation is somewhat confusing as there are a lot of SDLC models with similar strengths and weaknesses. Also, the solutions proffered among the researchers so far have been the  qualitative comparative analysis of SDLC models. Hence, this paper proposes a comparative analysis of SDLC models using quantitative approach in relation to strengths and weaknesses of SDLC models. The study adapted comparative analysis and Software Development Life Cycle (SDLC) models features’ classification using ten characteristics such as project complexity, project size, project duration, project with risk, implementation/initial cost, error discovery, associated cost, risk analysis, maintenance and cost estimation. A quantitative measure that employs online survey using experts in software design and engineering, project management and system analysis was carried out for the evaluation of SDLC models. Purposeful Stratified Random Sampling (SRS) technique was used to gather the data for analysis using XLSTAT after pre-processing, taking into consideration both benefit and cost criteria. The overall performance evaluation showed that Spiral-Model is the best followed by V-Model and lastly Waterfall Model with comparative values of 38.63%, 35.76% and 25.61% respectively. As regards cost estimation, Waterfall Model is the most efficient with value of 41%, then V-Model with 31% and lastly Spiral Model with 28%. V-Model has great error recovery capability with value of 45% which is closely followed by Spiral Model with 37% and lastly Waterfall Model with 18%. The study revealed that, a model with efficient risk assurance does not guarantee efficient cost management. In the future work, more characteristics regarding SDLC models shall be considered.

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