Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal JurTI (JURNAL TEKNOLOGI INFORMASI) Jurnal E-Komtek Journal of Applied Data Sciences
Dedi Rahman Habibie
Universitas Ary Ginanjar
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Analisis dan Perancangan Sistem Informasi Absensi pada SMK Permata Harapan Batam Miftahul Ilmi; Dedi Rahman Habibie; Hariselmi Hariselmi
JurTI (Jurnal Teknologi Informasi) Vol 8, No 1 (2024): JUNI 2024
Publisher : Universitas Asahan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36294/jurti.v8i1.4293

Abstract

Penggunaan teknologi informasi dalam kehidupan sehari-hari membawa kita kedalam dunia dengan percepatan gerak data yang sangat signifikan. SMK permata harapan merupakan sebuah SMK swasta yang berada di Kota Batam. SMK Permata harapan membutuhkan sebuah sistem absensi yang mampu menghubungkan guru, siswa dan orang tua dalam satu sistem dalam hal perizinan dan kehadiran siswa di sekolah. Pada penelitian ini dirancang sebuah aplikasi yang memungkinkan untuk menjadi jembatan antara guru, siswa dan orang tua tersebut. Metode penelitian yang diterapkan pada penelitian ini adalah Research and Development dimana penelitian ini akan menghasilkan sebuah produk baru yang nantinya dapat dikembangkan agar bisa menjadi lebih baik lagi. Penelitian ini juga menerapkan model pengembangan waterfall dengan lima tahapan dalam perancangan sistemnya. Sistem informasi ini dibangun menggunakan CodeIgniter 4 dan menerapkan database MYSQL sebagai pusat datanya. Sistem informasi absensi yang telah dirancang dan diimplementasikan pada SMK Permata Harapan telah diuji dan dinilai layak guna sebagai sebuah sistem yang mampu menjembatani guru, siswa dan orang tua dalam hal absensi siswa pada SMK Permata Harapan, dimana pengujian alpha berjalan lancar dan hasil pengujian beta aplikasi absensi pada SMK Permata Harapan berada pada posisi 4,42 dari skala 5. Sistem Informasi ini mampu meningkatkan kedisiplinan siswa karena penggunaannya yang baik.
Improving Evaluation Metrics for Text Summarization: A Comparative Study and Proposal of a Novel Metric Junadhi Junadhi; Agustin Agustin; Lusiana Efrizoni; Finanta Okmayura; Dedi Rahman Habibie; Muslim Muslim
Journal of Applied Data Sciences Vol 6, No 2: MAY 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i2.547

Abstract

This research evaluates and compares the effectiveness of various evaluation metrics in text summarization, focusing on the development of a new metric that holistically measures summary quality. Commonly used metrics, including ROUGE, BLEU, METEOR, and BERTScore, were tested on three datasets: CNN/DailyMail, XSum, and PubMed. The analysis revealed that while ROUGE achieved an average score of 0.65, it struggled to capture semantic nuances, particularly for abstractive summarization models. In contrast, BERTScore, which incorporates semantic representation, performed better with an average score of 0.75. To address these limitations, we developed the Proposed Metric, which combines semantic similarity, n-gram overlap, and sentence fluency. The Proposed Metric achieved an average score of 0.78 across datasets, surpassing conventional metrics by providing more accurate assessments of summary quality. This research contributes a novel approach to text summarization evaluation by integrating semantic and structural aspects into a single metric. The findings highlight the Proposed Metric's ability to capture contextual coherence and semantic alignment, making it suitable for real-world applications such as news summarization and medical research. These results emphasize the importance of developing holistic metrics for better evaluation of text summarization models.
Optimization of Recruitment of Prospective Financial Managers Through a Decision Support System with the Multi Attribute Utility Theory Method Muhammad Raafi'u Firmansyah; Sahara Sahara; Yeyi Gusla Nengsih; Dedi Rahman Habibie; Yohani Setiya Rafika Nur
Jurnal E-Komtek (Elektronika-Komputer-Teknik) Vol 8 No 1 (2024)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v8i1.1767

Abstract

This study evaluates the application of Multi Attribute Utility Theory (MAUT)-based decision support systems in the recruitment process of financial managers in technology companies "TechInnovate". This study aims to identify the extent to which the use of MAUT can increase objectivity and effectiveness in candidate selection. The quantitative method was used by collecting data from 50 candidates who volunteered for this position. The assessment criteria that have been determined include Education and Qualifications, Work Experience, Analytical and Financial Skills, Communication Skills, Leadership and Team Management, Ethics and Integrity, Technology Capabilities, Adaptability and Innovation, Decision Making Ability. Data is collected through scores assigned to each criterion for each candidate, which are then aggregated taking into account the relative weights of each criterion. Statistical analysis is applied to evaluate the distribution of scores and the effectiveness of the system in selecting the most suitable candidates. Results from this study show that the application of MAUT is significant in improving objectivity in recruitment decision making, with high scores strongly correlated with expected job performance in in-depth interviews and follow-up evaluations. This study proves that integrating a systematic approach in recruitment not only strengthens the selection process but also promotes data-driven and objective decisions. The implications of this research are relevant for companies operating in dynamic and technology-centric environments, suggesting the integration of MAUT-based decision support systems as an effective strategy in the recruitment process.
Co-Authors Agustin Agustin Finanta Okmayura Gusla Nengsih, Yeyi Hariselmi Hariselmi Junadhi Junadhi Lusiana Efrizoni Miftahul Ilmi Muhammad Raafi'u Firmansyah Muslim Muslim Sahara Sahara Yohani Setiya Rafika Nur