Article Per Year (5 Year)
p-Index From 2020 - 2025
1.197
P-Index
This Author published in this journals
All Journal Insect (Informatics and Security) : Jurnal Teknik Informatika PROGRES PENDIDIKAN Conten : Computer and Network Technology Jurnal Pengabdian Pancasila (JPP) Journal of Information Systems and Technology (JISTech) Global Journal of Educational Technology (GJET)
Ilcham, Ilcham
Unknown Affiliation
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Mathematics Medicine & Pharmacology Nursing Physics Social Sciences Other

Published : 7 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 7 Documents
Search

 1 
INVESTIGASI STEGO FILE MENGGUNAKAN FRAMEWORK NATIONAL INSTITUTE OF JUSTICE Hajar, Hajar; Hermansa, Hermansa; Ilcham, Ilcham
CONTEN : Computer and Network Technology Vol. 4 No. 1 (2024): Juni 2024
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/conten.v4i1.3527

Abstract

Steganografi merupakan salah satu teknik anti-forensik yang memungkinkan pelaku kejahatan untuk menyembunyikan informasi ke dalam pesan lain, sehingga investigator akan menghadapi kesulitan dalam mendapatkan bukti informasi asli pada kejahatan tersebut. Oleh karena itu, seorang investigator dituntut untuk memiliki kemampuan menemukan serta melakukan ekstraksi dengan menggunakan alat yang tepat saat membuka pesan yang telah disisipi teknik steganografi. Penelitian ini menganalisis bukti digital menggunakan metode static forensics dengan menerapkan lima tahapan pada framework National Institute of Justice (NIJ) serta melakukan ekstraksi steganografi pada file yang telah disusupi berdasarkan skenario kasus yang melibatkan kejahatan digital. Alat yang digunakan meliputi FTK Imager, Autopsy, WinHex, Hiderman, dan StegSpy. Hasil ekstraksi menunjukkan bahwa dari 10 file yang diskenariokan telah disusupi steganografi, 9 file berhasil diekstraksi dengan tingkat keberhasilan 90%, sedangkan 10% lainnya tidak ditemukan file steganografi. Dapat disimpulkan bahwa file hasil ekstraksi dari pesan steganografi dapat dijadikan bukti digital yang sah menurut hukum.
Optimasi Pemilihan Cafe Terbaik Menggunakan Rank Order Centroid dan Simple Additive Weighting Yantika, Mega Juni; Mardianto, Mardianto; Ilcham, Ilcham
JISTech : Journal of Information Systems and Technology Vol. 2 No. 1 (2025): Juni 2025
Publisher : Perhimpunan Ahli Teknologi Informasi dan Komunikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71234/jistech.v2i1.46

Abstract

Choosing the optimal café can be difficult due to the necessity of objectively evaluating several variables, including food quality, comfort, pricing, service, and supplementary amenities. This study seeks to enhance the selection process for the optimal cafe by employing the Rank Order Centroid (ROC) approach for criterion weighting and the Simple Additive Weighting (SAW) method for ranking alternatives. Data were collected via questionnaires and firsthand observations of multiple cafés, with criteria assessed according to consumer preferences. ROC was employed to ascertain proportional criteria weights, whereas SAW aggregated normalized values and weights to generate alternative ranks. The findings indicated that Cafe 2 attained the maximum preference score of 0.70, establishing it as the premier recommendation. The integration of ROC and SAW demonstrated efficacy in producing objective, systematic, and transparent outcomes, rendering it suitable for decision support systems that aid consumers in selecting the optimal cafe
XceptionNet-based Digital Image Forensics with DFRWS Framework for Deepfake Detection Akbar, Muh. Hajar Akbar; Jimsan, Jimsan; Yahya, Yahya; Ilcham, Ilcham; Nasrullah, Nasrullah
Insect (Informatics and Security): Jurnal Teknik Informatika Vol. 11 No. 2 (2025): Oktober 2025
Publisher : Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33506/insect.v11i2.4996

Abstract

This study presents a novel approach to deepfake detection by integrating the DFRWS (Digital Forensics Research Workshop) framework with a deep learning architecture based on XceptionNet. The rapid advancement of deepfake technology poses a significant threat to digital media authenticity, necessitating robust and reliable detection methods. In this work, we implement a fine-tuned XceptionNet model enhanced with additional regularization techniques, specifically focusing on facial feature analysis. The model is trained on a balanced dataset comprising 2,000 images, equally divided between authentic and deepfake samples. Experimental results demonstrate exceptional performance, achieving an accuracy of 91.25%, precision of 88.73%, recall of 94.50%, and an AUC score of 0.9710. The proposed model shows a significant improvement in detecting subtle manipulation artifacts while maintaining computational efficiency, offering a promising solution for practical deepfake identification in real-world scenarios.
Pengembangan Media Pembelajaran Interaktif Berbasis Video untuk Meningkatkan Pemahaman Teknik Dasar Olahraga Rosti, Rosti; Haris, Iyan Nurdiyan; Ilcham, Ilcham
GJET : Global Journal of Educational Technology Vol. 1 No. 2 (2025): April 2025
Publisher : Perhimpunan Ahli Teknologi Informasi dan Komunikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71234/gjet.v1i2.66

Abstract

Penelitian ini bertujuan untuk mengembangkan dan menguji efektivitas media pembelajaran interaktif berbasis video dalam meningkatkan pemahaman teknik dasar passing bola voli pada mahasiswa sekolah menengah pertama. Media dikembangkan dengan menyajikan demonstrasi teknik secara visual yang dilengkapi narasi edukatif dan fitur interaktif, sehingga memungkinkan mahasiswa memahami gerakan secara utuh dan aplikatif. Penelitian menggunakan desain One Group Pretest-Posttest terhadap 43 mahasiswa dengan instrumen berupa tes kognitif dan lembar observasi psikomotorik. Hasil analisis statistik deskriptif menunjukkan adanya peningkatan rata-rata nilai kognitif dari 58.16 menjadi 67.93, dan peningkatan skor psikomotorik dari 10.40 menjadi 11.98. Uji paired samples t-test menunjukkan perbedaan yang signifikan pada kedua aspek (p = 0,000), sedangkan korelasi berpasangan menunjukkan hubungan yang sangat kuat antara skor sebelum dan sesudah perlakuan. Temuan ini menunjukkan bahwa media interaktif berbasis video dapat menjadi alternatif yang efektif untuk mendukung pembelajaran pendidikan jasmani berbasis teknologi.
Utilization of Computer Applications in Increasing the Productivity of UMKM in Kendari City (Sagumi) Sitti Najmia Rifai; Muhammad Akbar Yasin; Muhammad Irwan Syahib; Budi Wijaya Rauf; Ilcham, Ilcham; Dian Puteri Nurbaity; Yudhi Dwi Hartono
Jurnal Pengabdian Pancasila (JPP) Vol. 3 No. 2 (2024): June 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/jpp.v3i2.9904

Abstract

Micro, Small, and Medium Enterprises (UMKM) play a significant role in Indonesia's economic growth. Sagumi is one of the MSMEs in Kendari City which was founded in 2016 and was witnessed by the President of the FAO (Food Agriculture Organization) Representative of Indonesia. Sales have increased significantly, indicating that there is strong interest and demand for these UMKM products. The challenge faced by Sagumi lies in the lack of application of information and communication technology in operations and marketing which is still manual. One solution to overcome this problem is through holding training for UMKM business actors. Activities are carried out using socialization and direct practice methods. This service activity succeeded in motivating the participants to improve their computer application skills to support productivity and efficiency in operations and marketing.
DEVELOPMENT OF VIDEO LEARNING MATERIALS ON ANIMAL AND HUMAN MUSCULAR ORGANS Elma, Elma; Hendra Nelva Saputra; Ilcham, Ilcham
PROGRES PENDIDIKAN Vol. 5 No. 1 (2024): January 2024
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/prospek.v5i1.456

Abstract

Today's students grow and develop in the digital era, where access to various information via electronic media has become commonplace. Therefore, the development of learning videos is not only relevant but also an urgent need to answer the characteristics of this digital generation. This research aims to create learning videos on animal and human movement organs that are suitable for use in learning. This research is development research that uses the ADDIE (Analysis, Design, Development, Implementation, Evaluation) model. Based on the presentation of research results, information was found that learning videos on animal and human movement organs were declared suitable for use in learning with an average percentage of 85.83% from media experts, 91.66% from material experts, and 87.5% of student responses in the category worthy. These findings highlight the importance of integrating technology in education to facilitate more effective learning. Therefore, adjusting the curriculum and developing learning materials that support using video as an educational tool is necessary. Apart from that, aspects of technology accessibility and affordability need to be paid attention to so that the benefits of video-based learning can be felt equally by all students.
INVESTIGASI STEGO FILE MENGGUNAKAN FRAMEWORK NATIONAL INSTITUTE OF JUSTICE Hajar, Hajar; Hermansa, Hermansa; Ilcham, Ilcham
CONTEN : Computer and Network Technology Vol. 4 No. 1 (2024): Juni 2024
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/conten.v4i1.3527

Abstract

Steganografi merupakan salah satu teknik anti-forensik yang memungkinkan pelaku kejahatan untuk menyembunyikan informasi ke dalam pesan lain, sehingga investigator akan menghadapi kesulitan dalam mendapatkan bukti informasi asli pada kejahatan tersebut. Oleh karena itu, seorang investigator dituntut untuk memiliki kemampuan menemukan serta melakukan ekstraksi dengan menggunakan alat yang tepat saat membuka pesan yang telah disisipi teknik steganografi. Penelitian ini menganalisis bukti digital menggunakan metode static forensics dengan menerapkan lima tahapan pada framework National Institute of Justice (NIJ) serta melakukan ekstraksi steganografi pada file yang telah disusupi berdasarkan skenario kasus yang melibatkan kejahatan digital. Alat yang digunakan meliputi FTK Imager, Autopsy, WinHex, Hiderman, dan StegSpy. Hasil ekstraksi menunjukkan bahwa dari 10 file yang diskenariokan telah disusupi steganografi, 9 file berhasil diekstraksi dengan tingkat keberhasilan 90%, sedangkan 10% lainnya tidak ditemukan file steganografi. Dapat disimpulkan bahwa file hasil ekstraksi dari pesan steganografi dapat dijadikan bukti digital yang sah menurut hukum.
Co-Authors Akbar, Muh. Hajar Akbar Budi Wijaya Rauf Dian Puteri Nurbaity Elma Elma, Elma Hajar Hajar Hendra Nelva Saputra Hermansa, Hermansa Iyan Nurdiyan Haris Jimsan Jimsan Mardianto Mardianto Muhammad Akbar Yasin Muhammad Irwan Syahib Nasrullah Nasrullah Rosti, Rosti Sitti Najmia Rifai Yahya Yahya Yantika, Mega Juni Yudhi Dwi Hartono