Article Per Year (5 Year)
p-Index From 2021 - 2026
3.349
P-Index
This Author published in this journals
All Journal Jurnal Nasional Komputasi dan Teknologi Informasi Journal on Education Community Development Journal: Jurnal Pengabdian Masyarakat Bulletin of Information Technology (BIT) Jurnal Pengabdian Pada Masyarakat Indonesia (JPPMI) Aksi Nyata : Jurnal Pengabdian Sosial dan Kemanusiaan KREATIF: Jurnal Pengabdian Masyarakat Nusantara Jurnal Nasional Komputasi dan Teknologi Informasi Journal of Social Science Utilizing Technology Jurnal Hurriah: Jurnal Evaluasi Pendidikan dan Penelitian
ira zulfa
universitas Gajah Putih
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Law, Crime, Criminology & Criminal Justice Neuroscience Public Health Social Sciences Transportation Other

Published : 15 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 15 Documents
Search

 1   2 
Pengembangan Perangkat Lunak Berbasis Cloud Computing dengan Metodologi Scrum Ira Zulfa; Richasanty Septima; Eliyin Eliyin

Publisher :

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v9i1.10445

Abstract

Abstrak - Penelitian ini bertujuan untuk menggabungkan fleksibilitas infrastruktur Cloud Computing dengan ketangkasan metodologi Scrum dalam proses pengembangan perangkat lunak. Masalah utama yang diangkat adalah ketidakstabilan performa tim dan kompleksitas dalam pengelolaan sumber daya pada infrastruktur tradisional. Dengan menggunakan pendekatan kuantitatif, data mentah diolah melalui teknik normalisasi Min-Max dan Z-Score untuk menciptakan parameter evaluasi yang objektif. Hasil penelitian menunjukkan bahwa sinergi ini meningkatkan produktivitas tim sebesar 25% dengan rata-rata uptime sistem mencapai 99,8%. Selain itu, model prediktif yang dikembangkan menggunakan Python berhasil mencapai tingkat akurasi sebesar 88% dalam memproyeksikan keberhasilan Sprint. Hal ini memungkinkan pengambilan keputusan berbasis data (data-driven) untuk mitigasi risiko teknis secara proaktif. Kesimpulannya, penggabungan ekosistem cloud dan kerangka kerja Scrum tidak hanya mempercepat siklus rilis produk, tetapi juga memastikan transparansi dan stabilitas kualitas perangkat lunak yang dikembangkan. Dokumentasi seluruh proses dan kode program disediakan melalui repositori terbuka untuk mendukung pengembangan riset di masa depan.Kata kunci : Cloud Computing; Metodologi Scrum; Normalisasi Data; Model Prediktif; Abstract - This study seeks to integrate the adaptable nature of Cloud Computing infrastructure with the agile characteristics of Scrum methodologies in the software development process. The core issue addressed involves performance instability within teams and complexities in managing resources within traditional infrastructure setups. Employing a quantitative research approach, raw data is processed through Min-Max and Z-Score normalization techniques to establish objective evaluation parameters. The research findings indicate that this synergy enhances team productivity by 25%, with the average system uptime reaching 99.8%. Furthermore, a predictive model developed using Python achieved an accuracy rate of 88% in forecasting Sprint success. This enables data-driven decision-making for the proactive mitigation of technical risks. In conclusion, the fusion of cloud ecosystems and the Scrum framework not only accelerates product release cycles but also ensures transparency and stability in the quality of the software developed. Documentation of the entire process and program code is provided through an open repository to support future research development.Keywords: Cloud Computing; Scrum Methodology; Data Normalization; Predictive Model;
The Influence of the Canva Application in Improving Primary School Student Achievement in West Sumatra Rinovian Rais; Ira Zulfa
Journal of Social Science Utilizing Technology Vol. 2 No. 1 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i1.813

Abstract

Background. The use of media in education is becoming increasingly important, especially in the current digital era. The Canva application has become a popular tool among teachers for creating interesting and informative learning materials. With a variety of visual features and ease of use, Canva allows teachers to create learning materials that suit students’ needs. Purpose. The purpose of this research is to evaluate the influence of the Canva application in improving elementary school student achievement in West Sumatra and to understand teachers’ perceptions of its use Canva in learning. Method. This research uses a quantitative survey via Google Form which is distributed via WhatsApp groups to PGSD students in West Sumatra who use Canva as a learning medium. Research ethics were maintained by ensuring data confidentiality and voluntary participation. A total of 30 respondents. Results. This study explores the influence of the Canva application in improving the achievement of elementary school students in West Sumatra by collecting data from 30 respondents and six questions. From the analysis results, the majority of respondents actively use Canva as a learning medium, with most using this application every day or several times a week. The results of the analysis also show that the use of Canva in learning is considered effective in improving students’ understanding of learning materials, with the majority of respondents reporting an increase in student achievement after using learning materials created with Canva. Conclusion. Canva positively impacts elementary student achievement in West Sumatra by offering an intuitive user experience for teachers, enhancing student understanding, and boosting overall learning quality. It’s recommended to fellow teachers as an effective tool.
The Role of Quantum Computing in Advancing Cross-disciplinary Informatics: A Theoretical Framework Erna Hudianti Pujiarini; Ira Zulfa; Asmadi Asmadi
Journal of Social Science Utilizing Technology Vol. 2 No. 2 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i2.970

Abstract

Background. Quantum computing is a technology that has great potential to revolutionize various scientific disciplines with its extraordinary computing capabilities. Multiple fields, such as cryptography, optimization, and complex simulation, have begun to explore quantum computing applications. However, a deep understanding of how these technologies can be used effectively in cross-disciplinary informatics still needs to be improved. Purpose. This research aims to develop a theoretical framework that explains the role of quantum computing in advancing interdisciplinary informatics. The main focus is to identify potential applications and challenges faced in applying this technology in various fields and evaluate its impact on the development of science and technology. Method. This research uses a qualitative approach, a literature review, and theoretical analysis methods. Data were collected from various academic sources, including journals, books, and conferences relevant to quantum computing and interdisciplinary informatics. Analysis was conducted to identify patterns, themes, and relationships between quantum computing and cross-disciplinary applications. Results. The research results show that quantum computing has the potential to solve complex computational problems in various fields, including cryptography, optimization, and physical simulation. Quantum computing can provide more efficient and faster solutions than classical computing. However, the research also identified several significant challenges, such as the need for quantum-specific algorithms and sophisticated technological infrastructure. Conclusion. Quantum computing is essential in advancing interdisciplinary informatics by providing superior computing capabilities. The theoretical framework developed in this research can be used to further study and develop quantum computing applications in various fields. The identified challenges require special attention to ensure effective and efficient implementation of this technology.
Pengembangan Perangkat Lunak Berbasis Cloud Computing dengan Metodologi Scrum Ira Zulfa; Richasanty Septima; Eliyin
Jurnal Nasional Komputasi dan Teknologi Informasi Vol. 9 No. 1 (2026): Februari, 2026
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v9i1.214

Abstract

Abstrak - Penelitian ini bertujuan untuk menggabungkan fleksibilitas infrastruktur Cloud Computing dengan ketangkasan metodologi Scrum dalam proses pengembangan perangkat lunak. Masalah utama yang diangkat adalah ketidakstabilan performa tim dan kompleksitas dalam pengelolaan sumber daya pada infrastruktur tradisional. Dengan menggunakan pendekatan kuantitatif, data mentah diolah melalui teknik normalisasi Min-Max dan Z-Score untuk menciptakan parameter evaluasi yang objektif. Hasil penelitian menunjukkan bahwa sinergi ini meningkatkan produktivitas tim sebesar 25% dengan rata-rata uptime sistem mencapai 99,8%. Selain itu, model prediktif yang dikembangkan menggunakan Python berhasil mencapai tingkat akurasi sebesar 88% dalam memproyeksikan keberhasilan Sprint. Hal ini memungkinkan pengambilan keputusan berbasis data (data-driven) untuk mitigasi risiko teknis secara proaktif. Kesimpulannya, penggabungan ekosistem cloud dan kerangka kerja Scrum tidak hanya mempercepat siklus rilis produk, tetapi juga memastikan transparansi dan stabilitas kualitas perangkat lunak yang dikembangkan. Dokumentasi seluruh proses dan kode program disediakan melalui repositori terbuka untuk mendukung pengembangan riset di masa depan. Kata kunci : Cloud Computing; Metodologi Scrum; Normalisasi Data; Model Prediktif; Abstract - This study seeks to integrate the adaptable nature of Cloud Computing infrastructure with the agile characteristics of Scrum methodologies in the software development process. The core issue addressed involves performance instability within teams and complexities in managing resources within traditional infrastructure setups. Employing a quantitative research approach, raw data is processed through Min-Max and Z-Score normalization techniques to establish objective evaluation parameters. The research findings indicate that this synergy enhances team productivity by 25%, with the average system uptime reaching 99.8%. Furthermore, a predictive model developed using Python achieved an accuracy rate of 88% in forecasting Sprint success. This enables data-driven decision-making for the proactive mitigation of technical risks. In conclusion, the fusion of cloud ecosystems and the Scrum framework not only accelerates product release cycles but also ensures transparency and stability in the quality of the software developed. Documentation of the entire process and program code is provided through an open repository to support future research development. Keywords: Cloud Computing; Scrum Methodology; Data Normalization; Predictive Model;
Sistem Pendukung Keputusan Kelayakan Judul Skripsi Dengan Metode Analytical Hierarchy Proses (AHP) : (Studi Kasus Fakultas Teknik Universitas Gajah Putih) ira zulfa; Rahmadi Asri; H Hayatun; Ni'ma Kholila
JURNAL HURRIAH: Jurnal Evaluasi Pendidikan dan Penelitian Vol. 2 No. 3 (2021): Jurnal Hurriah
Publisher : Yayasan Pendidikan dan Kemanusiaan Hurriah Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56806/jh.v2i3.26

Abstract

English:Thesis is a final project that must be made by students, especially students of the White Elephant University campus and precisely students of the Faculty of Informatics. To complete a thesis requires time, energy and money. In submitting the title of the thesis, students are required to be more creative so that the thesis produced by the student can be a reference in the future. Decision support systems that use analytical hierarchical process (AHP) methods can help staff in the academic faculty of engineering, SPK which is integrated with the AHP method, will compare several thesis titles submitted by students based on specified criteria, so that no repetition process occurs. submission of a thesis title. The results obtained by using the SPK AHP method will conical to a proper title to be continued to the next stage, and certainly very useful for users of decision support systems. Bahasa: Skripsi adalah sebuah tugas akhir yang harus di buat oleh mahasiswa, khususnya mahasiswa kampus Universitas Gajah Putih dan tepatnya mahasiswa Fakultas Teknik Informatika. Untuk menyelesaikan sebuah skripsi dibutuhkan waktu, tenaga, dan uang. Dalam pengajuan judul skripsi tersebut mahasiswa dituntut untuk lebih kreatif guna skripsi yang dihasilkan mahasiswa tersebut dapat menjadi referensi dikemudian hari. Sistem pendukung keputusan yang menggunakan metode analytical hierarchi process (AHP) dapat membantu staff yang ada di bagian akademik fakultas teknik, SPK yang diintegrasikan dengan metode AHP tersebut akan membandingkan beberapa judul skripsi yang diajukan oleh mahasiswa berdasarkan kriteria yang ditentukan, agar tidak terjadi proses ulang terhadap pengajuan judul skripsi. Hasil yang didapat dengan menggunakan SPK metode AHP akan mengerucut kepada sebuah judul yang layak dilanjutkan ketahap selanjutnya, dan tentunya sangat bermanfaat terhadap pengguna sistem pendukung keputusan. 
Co-Authors Abraham Manuhutu Agustina, Sitti Asmadi Asmadi Azhariah Rachman Eliyin Eliyin Eliyin Erna Hudianti Pujiarini Fajrillah, Fajrillah H Hayatun Hendri Syahputra Ilhamdi Ilhamdi Jam’an Amadi M. Abdul Rahim Muhammad Ihsan Muhammad Razali Muhammad Zulfikrie Taswin Mukhtar Anas Mustafa Kamal Ni'ma Kholila Pitri Indriani Rahmadi Asri Richa Septima Richasanty Septima Richasanty Septima Richasanty Septima S Rinovian Rais Sabardi Pitra Sipur Sipur