Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) INSERT: Information System and Emerging Technology Journal
I Gede Maha Putra
Unknown Affiliation
Computer Science & IT Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Rancang Bangun Secure Document Management System (DMS) Menggunakan Metode Agile-SSDLC Hermawan Setiawan; Rayhan Ramdhany Hanaputra; Christopher Ralin Anggoman; I Gede Maha Putra; Rheva Anindya Wijayanti; Achmad Luthfan Aufar Hindami
INSERT : Information System and Emerging Technology Journal Vol. 5 No. 1 (2024)
Publisher : Prodi Sistem Informasi, FTK, Undiksha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/insert.v5i1.75244

Abstract

Dalam era digital yang semakin maju, pengelolaan dokumen yang dulunya dilakukan secara konvensional (paper based) berubah menggunakan teknologi komputer. Data pada dokumen diolah dan disimpan dalam bentuk digital. Meskipun kebutuhan akan penggunaan Document Management System (DMS) semakin meningkat, tantangan keamanan juga semakin kompleks. Perusahaan harus menghadapi ancaman serangan siber, peretasan, pencurian data, dan pelanggaran keamanan lainnya. Penelitian ini bertujuan untuk merancang dan mengembangkan Secure Document Management System (DMS) dengan menerapkan metodologi Agile-SSDLC. Implementasi SSDLC dalam metodologi Agile memastikan bahwa aspek keamanan menjadi fokus utama dalam setiap tahap pengembangan, termasuk proses code review dan identifikasi kerentanan keamanan. Hasil penelitian menunjukkan bahwa Secure DMS yang dikembangkan dapat mengelola dokumen secara efisien dan aman, memenuhi kebutuhan pengguna, serta melindungi data dari ancaman eksternal maupun internal. Secure DMS ini juga memberikan manfaat signifikan dalam meningkatkan efisiensi pengelolaan dokumen dan mengurangi risiko kebocoran informasi.
Unifying Knowledge, Reasoning, and Hierarchy for Classifying Harmful Content Budiarto, Raden; I Gede Maha Putra
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 10 No 1 (2026): February 2026
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v10i1.7115

Abstract

The spread of negative, engagement-driven content online causes significant societal harm, requiring advanced automated moderation tools. However, current classification systems often treat harmful content subtypes as independent, "flat" categories, which hinders their ability to thematically overlap content. This study designed and validated a novel integrated framework to accurately and transparently classify such complex cases. We proposed KG-DToT-HTC, a hybrid framework that synergistically combines three methodologies: a predefined Hierarchical Text Classification (HTC) taxonomy to structure the decision-making process; a domain-specific Knowledge Graph (KG) to provide factual, real-world context; and Decision Tree-of-Thought (DToT) prompting to guide a Large Language Model through an explicit, step-by-step reasoning process. On a real-world dataset of harmful Indonesian news, the proposed framework achieved a state-of-the-art Macro-F1 score of 0.934, representing a nearly 15-percentage point improvement over a zero-shot baseline. Ablation studies confirmed that each component—hierarchy, knowledge, and reasoning—provided a distinct and critical contribution to the final performance. The major conclusion of this study is that a synergistic architecture is essential for the accurate classification of complex harmful content. This work demonstrates a viable path toward "glass-box," interpretable AI moderation systems whose decisions are not only highly accurate but also fully auditable.
Co-Authors Achmad Luthfan Aufar Hindami Christopher Ralin Anggoman Hermawan Setiawan Raden Budiarto, Raden Rayhan Ramdhany Hanaputra Rheva Anindya Wijayanti