Article Per Year (5 Year)
p-Index From 2021 - 2026
3.647
P-Index
This Author published in this journals
All Journal Jurnal Pendidikan Islam IKRA-ITH Informatika : Jurnal Komputer dan Informatika JURNAL PENDIDIKAN TAMBUSAI Jurnal Teknologi Informatika dan Komputer Jurnal Pendidikan Sains dan Komputer LEBAH Karimah Tauhid Journal of Data Analytics, Information, and Computer Science (JDAICS) RECORD Journal of Loyality and Community Development
Uus Firdaus
Universitas Djuanda
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 25 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 25 Documents
Search

 1   2   3 
Analisis Kinerja Decision Tree dan Random Forest Menggunakan Dataset Breast Cancer: Performance Analysis of Decision Tree and Random Forest Using Breast Cancer Dataset Uus Firdaus; Ananda Alfiah; Lorina Mohdo
Jurnal Pendidikan Sains dan Komputer Vol. 6 No. 01 (2026): Artikel Riset, February 2026
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/jpsk.v6i01.7892

Abstract

Breast cancer is a disease with a high mortality rate in women worldwide, making early detection a crucial factor in increasing the chances of successful treatment and patient survival. Advances in computing technology, particularly machine learning, have created opportunities to use medical data to inform decision-making in the diagnostic process. This study aims to analyze and compare the performance of the Decision Tree and Random Forest algorithms in classifying breast cancer using the Wisconsin Breast Cancer Dataset. The dataset comprises 569 data points with 30 numeric attributes representing cancer cell characteristics and a class label indicating benign or malignant cancer. The research stages include data preprocessing, splitting the data into training and test sets (80:20), applying the classification algorithm, and evaluating model performance using accuracy, precision, recall, and F1-score metrics. The test results show that the Random Forest algorithm outperforms the Decision Tree. Random Forest achieved an accuracy of 98.68% on the training data and 95.61% on the test data, while Decision Tree achieved an accuracy of 96.92% on the training data and 91.23% on the test data. This difference indicates that Random Forest has better generalization capabilities and is more resistant to overfitting. The findings of this study indicate that Random Forest is more effective for data-based breast cancer classification than Decision Tree. Therefore, the Random Forest algorithm is recommended as a more reliable method to support decision support systems in early breast cancer detection.
Analysis of the Contribution of Open Source Software in Improving the Cost Efficiency of Information Technology Infrastructure at SMAN 1 Cicurug Using a Machine Learning Approach Azharudin; Uus Firdaus; Haikal Ali Hakim; Mutiara Nur Handayani
Jurnal Teknologi Informatika dan Komputer Vol. 12 No. 1 (2026): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v12i1.3184

Abstract

The development of information technology (IT) globally has driven digital transformation in various sectors, including education. The rapid development of information technology (IT) in the education sector necessitates efficient and cost-effective infrastructure management. Budget limitations remain a major challenge for educational institutions in providing adequate hardware and software resources. Open Source Software (OSS) has emerged as a viable alternative due to its potential to reduce licensing costs while maintaining system functionality. This study aims to analyze the contribution of Open Source Software to improving the cost efficiency of information technology infrastructure at SMAN 1 Cicurug using a machine learning approach. This research employs IT inventory data consisting of Windows-based computers, Chromebooks, and smartphone devices utilized by the school community. Infrastructure cost data collected before and after OSS implementation were analyzed using machine learning algorithms, particularly regression and clustering techniques, to identify cost-saving patterns and efficiency levels. The application of machine learning enables an objective, data-driven evaluation of the financial impact of OSS adoption. The findings demonstrate that the implementation of Open Source Software significantly reduces software licensing costs and overall IT infrastructure maintenance expenses. Additionally, the use of machine learning models proves effective in supporting strategic decision-making related to IT infrastructure management. These results indicate that OSS adoption can serve as a sustainable and scalable solution for educational institutions seeking to enhance cost efficiency in information technology infrastructure.
Perancangan dan Implementasi Aplikasi Penyelesaian Masalah 8-Queens Menggunakan Algoritma Brute Force sebagai Media Pembelajaran Algoritma Berbasis Python Uus Firdaus; Ryandra Putra; Ginan Ardiansah; Muhammad Jiddan Kalam; Thival Rayyani; Muhammad Noufal Falah; Gheryyan Washesya Syagara
Karimah Tauhid Vol. 4 No. 11 (2025): Karimah Tauhid
Publisher : Universitas Djuanda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30997/karimahtauhid.v4i11.21803

Abstract

Masalah 8-Queens merupakan salah satu permasalahan klasik dalam bidang algoritma dan kecerdasan buatan yang bertujuan menempatkan delapan ratu pada papan catur 8x8 tanpa saling menyerang. Penelitian ini bertujuan merancang dan mengimplementasikan aplikasi penyelesaian masalah 8-Queens menggunakan algoritma brute force sebagai media pembelajaran algoritma. Aplikasi dikembangkan menggunakan bahasa pemrograman Python dan dirancang untuk memvisualisasikan setiap kemungkinan solusi. Hasilnya menunjukkan bahwa algoritma brute force mampu menemukan seluruh solusi yang valid, meskipun dengan tingkat kompleksitas yang tinggi. Aplikasi ini diharapkan dapat membantu mahasiswa memahami konsep algoritma pencarian secara interaktif.
Penerapan Metode User Centered Design (UCD) Pada Perancangan UI/UX Aplikasi Mobile Sistem Informasi Perpustakaan "Si-Pustaka" (Studi Kasus: Sma Plus Damar Bangsa Sukabumi) Ananda Alfiah; Uus Firdaus; Budhi Gunadharma Gautama
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 10 No. 1 (2026): IKRAITH-INFORMATIKA Vol 10 No 1 Maret 2026
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Perkembangan teknologi informasi dalam bidang pendidikan menuntut sistem yang mampu meningkatkan efisiensi dan kualitas layanan, termasuk pada pengelolaan perpustakaan sekolah. Namun, pengelolaan perpustakaan di SMA Plus Damar Bangsa Sukabumi masih dilakukan secara manual sehingga kurang efisien dan rentan terhadap kesalahan. Selain itu, belum tersedianya aplikasi mobile dengan antarmuka yang mudah digunakan menjadi kendala dalam peningkatan layanan. Penelitian ini bertujuan untuk merancang desain User Interface (UI) dan User Experience (UX) aplikasi mobile sistem informasi perpustakaan dengan menerapkan metode User Centered Design (UCD). Metode ini berfokus pada pengguna melalui tahapan analisis kebutuhan, perancangan, dan evaluasi secara iteratif. Pengumpulan data dilakukan melalui observasi, wawancara, studi pustaka, kuesioner, dan usability testing. Hasil penelitian berupa prototype UI/UX yang memudahkan pengguna dalam mencari, meminjam, dan memantau status buku. Evaluasi menggunakan System Usability Scale (SUS) memperoleh skor 82,75 (excellent) dengan nilai akhir 88,28, serta pengujian fitur sebesar 93,8%. Hasil ini menunjukkan bahwa desain memiliki tingkat usability yang tinggi dan layak untuk dikembangkan. Dengan demikian, penerapan metode UCD mampu menghasilkan desain yang sesuai kebutuhan pengguna, mudah digunakan, serta meningkatkan kualitas layanan perpustakaan.
Rancang Bangun Sistem Informasi Manajemen Kru dan Produksi Syuting Berbasis Web Menggunakan Laravel serta Tailwind CSS dengan Model Waterfall (Studi Kasus: Sindikart) Muhamad Elgar; Uus Firdaus; Setyono
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 10 No. 2 (2026): IKRAITH-INFORMATIKA Vol 10 No 2 Juli 2026
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37817/ikraith-informatika.v10i2.7043

Abstract

Sindikart Equipment and Props Rental House is an artistic service company in the film industry that has been managing crew data and property inventory conventionally using office applications and cloud-based storage, which can lead to data duplication, difficulty in validating crew information, and slow retrieval of past project archives. This research aims to design and build a web-based Crew and Film Production Management Information System to integrate the management of crew data, production projects, and property inventory at Sindikart. The research method used is descriptive qualitative, with data collection through participatory observation and direct interviews with the Director of Sindikart. The system was developed using the Waterfall model, with Laravel as the backend framework, Tailwind CSS for the frontend interface, and MySQL as the database, and has two user roles, namely Admin and Crew. Testing was carried out using the Black Box Testing method on 63 test scenarios, with 62 scenarios valid and 1 scenario not yet optimal, resulting in a system success rate of 98.41%. These results indicate that the system is feasible to implement and able to transform Sindikart's operational data management into a more centralized, structured, and efficient one.
Co-Authors Agung, Ari Permana Agustiani, Tia Agustina Multi Purnomo Aisah Rini Susanti Aisah Rini Susanti Ananda Alfiah Apriansyah, Dwi Asep Bayu Dani Nanyanto Azhar, Azharudin Azharudin Azharudin Azharudin, Azharudin Budhi Gunadharma Gautama Dani Nanyanto, Asep Bayu Dzaki, Mahesa Fachrani, Jihan Fadilah, Muhammad Risyad Faris, Bintang Augri Faturachman Achmad Febrihartina, Siti Sarah Gheryyan Washesya Syagara Ginan Ardiansah Gugun Gunad Gunawan, Muhammad Erlangga Haikal Ali Hakim Hakim, Haikal Ali Handayani, Mutiara Nur Haq, M. Abu Ridho Abdul Hikmatulloh , Moch Fajar Ilyasa, Muhammad Daniel Jihan Fachrani Lihawa, Sanifa Lorina Mohdo M R, Alim Purnomo Aji Surya M. Juroihan Ma’shum Abdul Jabbar Moch Fajar Hikmatulloh Muhamad Elgar Muhamad Fikri, Muhamad Muhammad Encep Muhammad Jiddan Kalam Muhammad Noufal Falah Mutiara Nur Handayani Novrian, Risfan Ogi, Aldino Putra, Ryandra R. Siti Pupu Fauziah Rafael Nuansa Ramadhan Ramadhon, Rafael Nuansa Rejeki, Sri Meiylani Rianto, M. Rizki Risdianto Irawan Roestamy, Martin Rusdi Abdul Gani Ryandra Putra Sanifa Lihawa Saripudin, Mip Setyono Siti Sarah Febrihartina Sodik, Japar Susantiq, Aisah Rini Syah, Dava Alhamda Putra Thival Rayyani Washesya S, Gheryyan Zakaria, Muhammad Sultan Pasya