Identifikasi Kamera untuk Forensik Citra dengan Metode Photo Response Non Uniformity

Wijaya, Zelvan Abdi (2026) Identifikasi Kamera untuk Forensik Citra dengan Metode Photo Response Non Uniformity. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Banyaknya variasi dan tipe kamera digital yang ada saat ini membuat proses identifikasi sumber kamera menjadi lebih sulit dari sebuah citra digital, terutama dalam ranah forensik digital. Di banyak kasus penyelidikan, citra digital menjadi bukti kunci sehingga penting untuk memiliki metode yang dapat mengidentifikasi perangkat kamera yang digunakan dalam pengambilan citra tersebut. Salah satu metode yang digunakan untuk permasalahan ini adalah photo response non uniformity (PRNU). Metode ini memanfaatkan pola ketidaksamaan respons piksel di sensor kamera yang muncul karena ketidaksempurnaan fisik sensor saat proses manufaktur. Ciri tersebut bersifat unik sehingga berfungsi sebagai fingerprint perangkat tersebut. Penelitian ini bertujuan untuk mengidentifikasi sumber kamera dari citra digital dengan menerapkan metode PRNU.
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The wide variety of digital camera models available today makes it more difficult to identify the source of a digital image, particularly in the field of digital forensics. In many investigative cases, digital image serve as key evidence, making it essential to have methods capable of identifying the camera device used to capture the image. One method that can be used to address this issue is photo response non uniformity (PRNU). This method leverages the pattern of pixel response non uniformity in the camera sensor, which arises from physical imperfections in the sensor during the manufacturing process. This characteristic is unique and can thus serve as a digital fingerprint for the device. This study aims to identify the source of a camera from a digital image by applying the PRNU method.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Forensik digital, Identifikasi kamera, pattern noise, pixel nonuniformity, Sensor kamera, Camera identification, Camera sensor, Digital forensic, Pattern noise, Pixel nonuniformity
Subjects:	Q Science > QA Mathematics > QA76.758 Software engineering Q Science > QA Mathematics > QA76.9.A25 Computer security. Digital forensic. Data encryption (Computer science) Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science Z Bibliography. Library Science. Information Resources > Z666.7 Metadata.
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Informatics Engineering > 55201-(S1) Undergraduate Thesis
Depositing User:	Zelvan Abdi Wijaya
Date Deposited:	01 Aug 2026 04:08
Last Modified:	01 Aug 2026 04:08
URI:	http://repository.its.ac.id/id/eprint/141586

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