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All Journal CESS (Journal of Computer Engineering, System and Science) InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Jurnal Sistem Informasi Kaputama (JSIK) Building of Informatics, Technology and Science JURNAL MAHAJANA INFORMASI Jurnal Tunas Jurnal UNITEK JIKEM: Jurnal Ilmu Komputer, Ekonomi dan Manajemen Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) EXPLORER Prosiding Snastikom Jurnal ABDIMAS Budi Darma sudo Jurnal Teknik Informatika Hello World Journal of Information Systems and Technology Research Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Prioritas : Jurnal Pengabdian Kepada Masyarakat Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) Journal Global Technology Computer Jurnal Ilmu Komputer dan Sistem Informasi Jurnal Pengabdian Masyarakat Jurnal Computer and Technology Cosmic Jurnal Teknik Jurnal Riset Multidisiplin Edukasi Tsabit
Rachmat Aulia, Rachmat
Program Studi Teknik Informatika, Fakultas Teknik Dan Komputer Universitas Harapan Medan, Medan
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Other

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Sistem Pendukung Keputusan Pemilihan Game RPG Terbaik untuk Pengguna Android Menerapkan Metode MOORA Inayah Salsabila; Nazwa Nurfatiha; Astri Dwi Yanti; Rachmat Aulia
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 5 No. 1 (2026): Juni 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v5i1.1226

Abstract

The deveopment
A Hybrid YOLOv5-SqueezeNet Framework with Crop-Union Context Verification for Real-Time Motorcycle Rider Identification Teguh Bagaskara; Rachmat Aulia
Journal Computer and Technology Vol. 4 No. 1 (2026): July 2026
Publisher : Ninety Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69916/comtechno.v4i1.410

Abstract

Motorcycles are the dominant transportation mode in developing nations, yet their high volume exacerbates traffic violations and accidents. Automated identification of motorcycle operators is crucial for Intelligent Transportation Systems (ITS). However, existing advanced vision models, such as the Segment Anything Model (SAM) or YOLOv9, demand substantial computational resources, rendering them impractical for real-time edge deployment. Furthermore, standard object detectors often fail to contextually distinguish active riders from bystanders. To address these limitations, this study proposes a lightweight, context-aware hybrid framework integrating YOLOv5 for rapid spatial detection and SqueezeNet for semantic contextual verification. The core novelty lies in the Crop-Union Context Verification Mechanism, which extracts the spatial union of paired person-motorcycle bounding boxes, expands it proportionally, and classifies the cropped region using SqueezeNet to confirm the presence of an active operator. Additionally, Contrast Limited Adaptive Histogram Equalization (CLAHE) is applied during preprocessing to enhance image quality under varying illumination. Experimental results demonstrate that the hybrid system successfully identifies motorcycle operators with high spatial confidence (YOLOv5: 0.84 for person, 0.86 for motorcycle) and robust contextual validation (SqueezeNet Top-1 prediction: moped, probability 0.247). By utilizing SqueezeNet’s highly efficient Fire Module architecture (~1.2 million parameters), the proposed framework achieves exceptional computational efficiency without sacrificing discriminative power. Ultimately, the disjunctive fusion of spatial and semantic signals ensures system resilience. This lightweight pipeline proves highly viable for real-time, AI-driven traffic surveillance on resource-constrained edge devices, offering a scalable solution for smart city infrastructure and automated law enforcement.
Implementation of Argon2i Algorithm in A Gamification-Based Habit Tracker Application for Account Security on Android Platform Isnainy Rodiah; Khairuddin Nasution; Rachmat Aulia
Tsabit Journal of Computer Science Vol. 3 No. 1 (2026): June Edition
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/tsabit99

Abstract

The rapid penetration of smartphones in Indonesia has driven the growth of the productivity application ecosystem, one of which is the gamification-based habit tracker application. However, this type of application indirectly collects users' sensitive daily routine data, while the majority of local applications still store passwords in plaintext form or use traditional hashing algorithms such as MD5 and SHA-256, which are vulnerable to GPU- and ASIC-based brute-force attacks. This research aims to design and implement the Argon2 algorithm (Argon2i variant) as an account security system for a gamification-based Android habit tracker application. The system was built using the Kotlin language, the Jetpack Compose framework, MVVM architecture, and Jetpack DataStore as local storage, with a layered security scheme (Dual-Layer Security) integrating Firebase Authentication as the first layer and an Argon2i-based App Lock as the second layer. The Argon2i algorithm was configured with a memory cost parameter of 64 MB (m=65536), a time cost of 2 iterations (t=2), and 1 parallel lane (p=1), producing a strong hash value resistant to specialized hardware exploitation. Functional testing using the Black Box Testing method across two iterations showed that all test scenarios (100%) passed after the debugging process, proving that the cryptographic system successfully secured user credentials without disrupting the application's stability and speed. This research produces a technical blueprint for integrating Argon2i password hashing into Android applications as a reference standard for account security on mobile devices.
Implementation of the Discrete Wavelet Transform (DWT) Algorithm for Video File Security Dea Sintia; Mhd. Zulfansyuri Siambaton; Rachmat Aulia
Tsabit Journal of Computer Science Vol. 3 No. 1 (2026): June Edition
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/tsabit105

Abstract

The growing reliance on digital video across education, entertainment, communication, and security applications has made video one of the most widely used forms of multimedia data, yet this growth has also exposed video files to risks such as unauthorized access, data theft, content manipulation, and misuse of digital information. This study addresses these risks by implementing the Discrete Wavelet Transform (DWT) algorithm as a signal-processing-based method for securing video files. DWT decomposes each video frame from the time domain into the frequency domain, producing a visual representation that is difficult to recognize, while the Inverse Discrete Wavelet Transform (IDWT) reconstructs the video back to a form approximating the original. A security key was applied to the wavelet coefficients to prevent reconstruction without proper authorization. The system was built in Python using OpenCV for video processing, PyWavelets for the DWT/IDWT operations, NumPy for numerical computation, and CustomTkinter for the desktop interface, following a Research and Development approach with a Waterfall development model. Black box testing confirmed that the encryption and decryption functions operated correctly across the tested video files, and quality evaluation using Peak Signal to Noise Ratio (PSNR), Mean Squared Error (MSE), Signal to Noise Ratio (SNR), and entropy showed that the encrypted videos exhibited substantial visual distortion relative to the originals, with PSNR values around 10–11 dB, MSE values in the range of roughly 5,100–5,700, and an entropy of approximately 7.37, indicating that the visual structure of the video content was concealed effectively. These findings suggest that DWT can serve as a practical signal-transformation-based approach to video data security, although its protection level remains below that of dedicated cryptographic algorithms such as AES or RSA, leaving room for future work that combines DWT with stronger cryptographic techniques.
Pelatihan Implementasi Digital Marketing sebagai Strategi Peningkatkan Omzet pada Industri Kecil dan Menengah di Deli Serdang Ari Usman; Yuyun Dwi Lestari; Rachmat Aulia; Yessi Fitri Annisah Lubis; Arief Budiman
JURIBMAS : Jurnal Hasil Pengabdian Masyarakat Vol 5 No 1 (2026): Juli 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juribmas.v5i1.1406

Abstract

Pelaku Industri Kecil dan Menengah (IKM) masih menghadapi kendala dalam memanfaatkan teknologi digital sebagai media pemasaran, sehingga jangkauan pasar dan peluang peningkatan omzet belum optimal. Kegiatan pengabdian kepada masyarakat ini bertujuan meningkatkan pengetahuan dan keterampilan pelaku IKM dalam mengimplementasikan digital marketing sebagai strategi pemasaran. Metode yang digunakan berupa pelatihan dan pendampingan yang meliputi observasi kebutuhan mitra, penyampaian materi mengenai digital marketing, target pasar, Unique Selling Proposition (USP), media sosial, marketplace, Google Business Profile, WhatsApp Business, pembuatan konten promosi, praktik langsung, serta evaluasi melalui diskusi dan observasi. Hasil kegiatan menunjukkan bahwa peserta mampu memahami konsep digital marketing, memanfaatkan berbagai platform digital sebagai media promosi, serta menyusun strategi pemasaran yang sesuai dengan karakteristik usahanya. Kegiatan ini meningkatkan kompetensi peserta dalam pemasaran digital sehingga diharapkan mampu memperluas jangkauan pasar, meningkatkan daya saing produk, dan mendorong peningkatan omzet usaha secara berkelanjutan.
Pemanfaatan Aplikasi Gamma dalam Pembuatan Presentasi Materi Pengajaran Guru di SMA Negeri 5 Medan Ari Usman; Yuyun Dwi Lestari; Arief Budiman; Yessi Fitri Annisah Lubis; Dedi Irwan; David David; Rachmat Aulia; Ahmad Rozy
Jurnal Pengabdian Masyarakat Vol. 4 No. 2 (2025): Desember 2025
Publisher : Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/japamas.v4i2.301

Abstract

The rapid development of information technology, particularly artificial intelligence (AI), requires teachers to integrate digital tools into the learning process. However, many teachers still face difficulties in creating engaging, systematic, and communicative presentation media due to limited time, insufficient design skills, and high administrative workloads. This problem was also found among teachers at SMA Negeri 5 Medan, who mostly relied on conventional presentation media. As a solution, this community service activity was conducted through training on the utilization of the Gamma Application, an AI-based platform that enables automatic presentation creation using text-based commands. A total of 30 teachers participated in this activity. The methods applied included workshops, hands-on practice, and interactive discussion sessions. Teachers were guided from the introduction of Gamma’s features to content development and the production of ready-to-use presentation slides. This activity aimed to improve teachers’ digital competence and support the development of more innovative, attractive, and effective learning media. Its main contribution lies in enhancing teachers’ skills in using AI-based technology and strengthening digital-based learning practices in schools. The results showed that all participants were able to operate the Gamma Application and produce more visually appealing, well-structured, and communicative learning presentations. Furthermore, teachers’ understanding of the role of technology in supporting the learning process significantly improved. Therefore, this activity had a positive impact on the quality of instructional media and teachers’ insights into the use of digital technology.
Analisis Tingkat Kematangan Buah Jeruk Menggunakan Chain Code Dan KNN (K-Nearest Neighbors) Berbasis Website Dicky Andreas Sitorus; Rachmat Aulia
Algoritma: Jurnal Ilmu Komputer dan Informatika Vol 9, No 2 (2025): November 2025
Publisher : Universitas Islam Negeri Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/algoritma.v9i2.25898

Abstract

This research aims to develop a web-based orange ripeness classification system using the K-Nearest Neighbor (KNN) method, leveraging morphological and color features as the main parameters. The image processing workflow begins with converting RGB images into the HSV color space, followed by object segmentation using the thresholding method, and feature extraction including chain code, area, and shape factor. The dataset consists of 50 orange images as training data and 20 orange images as test data. The evaluation was conducted in two scenarios: single testing and batch testing. The single testing on 5 test images achieved a perfect classification accuracy of 100%. In batch testing, the system achieved an accuracy of 0.90. These results indicate that the system is capable of effectively classifying orange ripeness, with a very low rate of false-positive predictions. The application is implemented as a web-based platform, making it easily accessible, and is expected to serve as a practical tool for sorting and grading oranges based on their ripeness levels. Keywords: Orange Classification, K-Nearest Neighbor, Feature Extraction, Image Processing, Web Application.
Co-Authors Abdul Jabbar Lubis Abdul Jabbar Lubis Adelia Atmaja Ahmad Rozy Ahmad Zakir, Ahmad Andi Marwan Elhanafi, Andi Marwan Anggriani, Rani Antoni Aqsha Adity Daulay Arfida, Gusti Ari Usman Ari Usman Arief Budiman Arief Budiman Asih, Munjiat Setiani Astri Dwi Yanti Chiuluto, Kalvin Dalimunthe, Ahmad Dani David David Dea Sintia Dedi Irwan Dian Agus Purwanto Dicky Andreas Sitorus Dimas Arya Zailani Dodi Siregar Erianto Ongko Haida Dafitri Haida Dafitri Haida Dafitri Haida Dafitri, Haida Haramaini, Tasliyah Haris Haris Hartono Hartono Harun Al Rasyid Hasibuan, Ade Zulkarnain Haslin, Mustafa Kamal Hasrimi, Abdilah Wijaya Hutagalung, Hasan Basri Ilham Faisal Imran Lubis Imran Lubis Inayah Salsabila Indah Monisa Irwandi, Bayu Isna Choina Isnainy Rodiah Jihan Nabila Fathia Liza, Risko Liza, Rizko Lubis, Nadhira M. Khairi Nasution Mhd Zulfansyuri Siambaton Mhd. Zulfansyuri Siambaton, Mhd. Zulfansyuri Mugi Alan Prasetya Muhammad Fauzan Lubis Muhammad Zulhafiz Musa, Masniza Binti N. F. Mohd Nasir Nazwa Nurfatiha Nur Wulan Nurjamiyah, Nurjamiyah Oris Krianto Sulaiman Rahmadani, Dandi Rahman, Sayuti Rahmat Aulia Fauzan Risko Liza Rizki Ramadhan Saripurna, Darjat Sarudin, Sarudin Sembiring, Arnes Siambaton, Muhammad Zulfansyuri Siregar, Budi Arisa Utomo Siti Sundari Sumi Khairani, Sumi Sutrisna Sutrisna T. Mohd Diansyah Tarigan, Yusril Agita Prayoga Teguh Bagaskara Tengku Mohd Diansyah, Tengku Mohd Triwati, Indah Yessi Fitri Annisah Lubis Yuyun Dwi Lestari Z Zakaria Zulfi.S, Rahanda