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Sunneng Sandino Berutu
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Universitas Kristen Immanuel Jl. Solo km 11,1 Yogyakarta
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Infact: Jurnal Sains dan Komputer
Published by Universitas Kristen Immanuel
ISSN : 25278363     EISSN : 28290259     DOI : https://doi.org/10.61179/infact
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
Jurnal sains dan komputer (INFACT) berisi artikel bidang informatika dengan scope:  Database Management,  Computer Networks,  Software Engineering,  Graphics and Multimedia,  Theory of Computation,  Web Technology,  Soft Computing,  Web Data Management,  Software Quality Testing,  Artificial Intelligence,  Robotics,  Augmented and Virtual Reality,  Mobile application development,  Cloud and Big Data,  Cyber security,  Data Mining,  Information Retrieval,  Multimedia Technology,  Mobile Computing,  Artificial Intelligence,  Computer Vision,  Image Processing, dan Internet of Things
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 2 Documents
 1 
Search results for , issue "Vol. 9 No. 02 (2025): Journal of Science and Computers" : 2 Documents clear
Forensic Metadata Analysis in Detecting Digital Image Manipulation Mario Anugraha; Ryan Putranda Kristianto; Andre Hartanto
Infact: International Journal of Computers Vol. 9 No. 02 (2025): Journal of Science and Computers
Publisher : Universitas Kristen Immanuel

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Abstract

The development of the digital era has brought significant changes to various aspects of life, including the field of photography. Digital photos offer both advantages and disadvantages, one of which is the ease with which they can be modified using image editing software. This makes it increasingly difficult to distinguish between original and manipulated images. Edited photos can spread widely through social media, causing public concern and doubts about the authenticity of information. Individuals often manipulate images for personal gain or interests. The easy access to image editing software further facilitates this manipulation process. In the field of research, digital image forensics has emerged as a scientific method to verify the authenticity of images through accountable evidence. This study aims to detect forgery in digital photos using that approach. The method employed in this research is metadata analysis with the assistance of an offline tool called JPEGsnoop and online tool Forensically Beta. The results show differences in metadata between the original and manipulated images, indicating that modifications have been made to the image.
A System Engineering Approach to Sustainability Decision Support System Based on the Global Reporting Invitiative Syaukani, Muhammad
Infact: International Journal of Computers Vol. 9 No. 02 (2025): Journal of Science and Computers
Publisher : Universitas Kristen Immanuel

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Abstract

Study this to develop a Sustainability Decision Support System (SDSS) based on the Global Reporting Initiative (GRI) at Insitut Teknologi Bisnis dan Bahasa Dian Cipta Cendikia (ITBA DCC) using a systems engineering approach. SDSS is designed to support decision-making sustainability data through a staged engineering system that includes analysis requirements, design, implementation, testing, application, and maintenance. This system integrates GRI indicators with campus data and produces visualizations as well as multi-criteria analysis, using increased transparency and accountability within institutions. The results show that SDSS is capable of facilitating comprehensive reporting in dimensions of social, economic, environmental, and governance. Research also confirms the importance of stakeholder collaboration in designing a responsive system to challenge sustainability in college high. The developed model is expected to be replicated in other institutions to strengthen digital governance? sustainability and standardization.

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