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Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Published by Cattleya Darmaya Fortuna
ISSN : -     EISSN : 27211800     DOI : -
Core Subject : Science,
Computer Science & IT
JATILIMA merupakan jurnal yang terbit dua nomor dalam satu volume (tahun), yaitu Peridoe I Bulan April dan Periode II Bulan Oktober. JATILIMA mempublikasikan tulisan-tulisan ilmiah hasil pemikiran, studi literatur, dan penelitian dalam bidang Ilmu Komputer. JATILIMA merupakan jurnal dengan sistem review yang merupakaan aspek penting dalam penyebaran ilmu pengetahuan.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 260 Documents
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Analysis of Circulation and Parking as Elements Shaping Marisa City Based on Geographic Information Systems to Support Sustainable Infrastructure Indriani Umar; Rudi
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 5 (2026): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i5.2140

Abstract

Urban circulation and parking systems are essential elements shaping city structure and influencing the sustainability of urban infrastructure. This study aims to analyze circulation patterns and parking distribution in Marisa City using a Geographic Information Systems (GIS) approach to support sustainable infrastructure planning. A quantitative spatial analysis was applied through network analysis, buffer analysis, and overlay analysis to evaluate road connectivity, accessibility, parking service coverage, and the interaction between traffic intensity and parking locations. The results indicate that circulation in Marisa City is dominated by collector and local roads with moderate connectivity, leading to traffic concentration in commercial areas. Parking analysis reveals a heavy reliance on on-street parking, resulting in reduced road capacity and circulation inefficiencies. Spatial mismatch between parking demand and supply is evident, particularly in commercial zones. The findings highlight that poorly integrated circulation and parking systems negatively affect accessibility, land use efficiency, and environmental sustainability. This study emphasizes the importance of GIS-based planning as a decision-support tool for optimizing circulation and parking management to promote sustainable urban infrastructure development in Marisa City.
Analisis User Experience (UX) Fitur Pembayaran QRIS Menggunakan Metode User Experience Questionnaire (UEQ) Yusriel Arief Ferdiyanto; Nurul Fitriana
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 5 (2026): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i5.2142

Abstract

Perkembangan teknologi digital telah mendorong perubahan signifikan dalam sistem pembayaran di Indonesia, salah satunya melalui adopsi QRIS (Quick Response Code Indonesian Standard) yang dikembangkan oleh Bank Indonesia. Kemudahan, efisiensi, dan keamanan menjadi faktor penting dalam menentukan kepuasan pengguna. Penelitian ini bertujuan untuk menganalisis pengalaman pengguna (User Experience) terhadap fitur pembayaran QRIS dengan menggunakan metode User Experience Questionnaire (UEQ), yang mencakup enam skala penilaian: Attractiveness, Perspicuity, Efficiency, Dependability, Stimulation, dan Novelty. Penelitian ini menggunakan pendekatan kuantitatif deskriptif dengan menyebarkan kuesioner kepada 100 responden pengguna QRIS. Data yang dikumpulkan dianalisis menggunakan alat bantu UEQ Data Analysis Tool serta uji validitas dan reliabilitas melalui SPSS. Hasil penelitian menunjukkan bahwa fitur pembayaran QRIS mendapatkan penilaian positif secara keseluruhan pada seluruh skala UEQ, dengan skor tertinggi pada aspek Attractiveness dan Efficiency. Uji hipotesis juga menunjukkan adanya hubungan signifikan antara aspek Pragmatic dan Hedonic Quality terhadap kepuasan pengguna. Penelitian ini memberikan wawasan penting bagi pengembang aplikasi pembayaran digital dan regulator untuk meningkatkan kualitas layanan QRIS di masa depan
Analisis Keamanan SSH dengan Menggunakan Algoritma ECDSA pada Server Debian Lotar Mateus Sinaga; Pandi Barita Nauli Simangunsong
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 5 (2026): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i5.2146

Abstract

Dalam era digital yang semakin kompleks, kebutuhan akan koneksi jarak jauh yang aman menjadi prioritas utama dalam pengelolaan sistem. Penelitian ini mengkaji implementasi dan evaluasi autentikasi Secure Shell (SSH) menggunakan algoritma Elliptic Curve Digital Signature Algorithm (ECDSA) pada sistem operasi Debian. Metode penelitian yang digunakan adalah studi kasus eksperimental dalam lingkungan jaringan lokal yang dikendalikan oleh router MikroTik, dengan pengujian pada sisi server dan client, serta simulasi ancaman keamanan. Hasil penelitian menunjukkan bahwa penggunaan autentikasi berbasis kunci publik ECDSA berhasil mengeliminasi kebutuhan password, mencegah serangan brute force, dan menjaga integritas koneksi melalui enkripsi yang kuat. Audit konfigurasi menunjukkan bahwa server menggunakan kurva NIST P-521, yang meskipun aman secara teknis, masih menimbulkan diskusi terkait transparansi kriptografi. Simulasi sniffing membuktikan bahwa komunikasi melalui SSH terenkripsi secara menyeluruh, tanpa kebocoran data sensitif. Dengan demikian, autentikasi SSH berbasis ECDSA terbukti sebagai pendekatan yang efektif dan layak diterapkan untuk meningkatkan keamanan koneksi jarak jauh, dengan catatan evaluasi algoritma secara berkala tetap diperlukan untuk menjawab tantangan keamanan yang terus berkembang.
Classification of Product Review Sentiment Using Naive Bayes and Support Vector Machine Algorithms Pandi Barita Nauli Simangunsong; Matias Julyus Fika Sirait; Tuti Andriani
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 5 (2026): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i5.2166

Abstract

This review synthesizes research on "Theoretical comparison of Naïve Bayes and Support Vector Machine for sentiment classification of product reviews" to address inconsistencies in algorithm performance and applicability across diverse datasets. The review aimed to evaluate theoretical foundations and practical implementations of both algorithms, benchmark classification metrics, analyze factors influencing performance, assess handling of neutral sentiments, and examine ensemble model efficacy. A systematic analysis of studies from Southeast Asia and related regions was conducted, focusing on supervised learning approaches with varied preprocessing and evaluation metrics. Findings indicate that Support Vector Machine generally achieves higher accuracy, precision, and recall across balanced and large datasets, while Naïve Bayes offers superior computational efficiency and recall in specific contexts. Preprocessing techniques and dataset characteristics significantly affect both algorithms’ robustness, with Support Vector Machine demonstrating greater adaptability to data variability and neutral sentiment classification. Hybrid and ensemble models combining Naïve Bayes and Support Vector Machine consistently improve classification accuracy and robustness but incur higher computational costs and remain underexplored. These results underscore the necessity of context-specific algorithm selection and optimization in sentiment analysis. The review highlights theoretical and practical implications for deploying machine learning classifiers in product review sentiment tasks, emphasizing the balance between accuracy, efficiency, and scalability within resource and data constraints.
VISUALISASI ANIMASI 2D SEBAGAI MEDIA INFORMASI MITIGASI BENCANA KEBAKARAN HUTAN Putri Wahyuni; Dandi Sunardi
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 07 (2026): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i07.2289

Abstract

Kebakaran hutan merupakan bencana alam yang sulit dihindari dan memerlukan upaya mitigasi melalui edukasi yang efektif. Namun, penyampaian materi yang kurang menarik menjadi kendala dalam proses mitigasi. Penelitian ini fokus pada pembuatan dan penilaian efektivitas media pembelajaran yang berbentuk video Animasi 2D yang ditujukan untuk siswa sekolah dasar guna mengurangi risiko kebakaran hutan di masa mendatang. Metode yang diterapkan adalah penelitian dan pengembangan (R&D) menggunakan model 4D yang meliputi tahap mendefinisikan, merancang, mengembangkan, dan menyebarkan. Media yang dibuat telah diuji oleh para ahli media serta dinyatakan layak digunakan. Uji evektifitas dilakukan dengan menggunakan desain one group pretest-posttest. Temuan penelitian menunjukkan bahwa terdapat kemajuan dalam nilai rata-rata siswa dari 63,63 menjadi 85, dengan nilai N-Gain mencapai 0,63 yang termasuk dalam kategori sedang. Oleh karena itu, media Animasi 2D terbukti efektif dalam meningkatkan pemahaman siswa mengenai mitigasi kebakaran hutan.
Role‑Based Document Verification and Authorization System with QR Code Integration for Campus Administrative Processes Sanjaya Pinem; Doni El Rezen Purba; Freddy Yakob
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 5 (2026): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i5.2293

Abstract

Document authentication has become a critical necessity for various institutions to prevent forgery, such as data manipulation or page substitution. While QR code technology is widely used, many current implementations rely on static links lacking robust validation mechanisms, making them susceptible to exploitation. This study aims to develop a QR code-based document verification system with a centralized validation architecture that is practical and efficient for small-to-medium-sized institutions. The research methodology employs the Software Development Life Cycle (SDLC) Waterfall model, encompassing requirements analysis, system design, implementation, testing, and maintenance. The system is designed with a multi-role workflow (Admin, Lecturer, and Guest) where the QR code serves solely as a reference identity, while the actual validation occurs within a centralized database to minimize spoofing risks. Results from Black Box Testing confirm that the system effectively manages the document lifecycle, from initial upload to electronic signature (TTE) application and real-time public verification via unique URLs. This implementation demonstrates that centralized hash validation is a sufficient security measure to mitigate document forgery risks without requiring high-complexity infrastructure.
Design and Development of a Digital Management Information System to Support Institutional Branding and Public Relations Services Khairul Anwar hafizd; Rina Pebriana; M. Zainal Akli
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 07 (2026): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i07.2601

Abstract

Digital transformation is driving universities to optimize the use of information technology not only in the delivery of academic services but also in strengthening institutional branding and improving the quality of Public Relations (PR) services. The implementation of the Smart Campus concept has become one strategy for integrating various digital services, including institutional information management and PR services. This study aims to develop a Smart Branding and PR Services Information System capable of integrating institutional information management and PR services into a single centralized digital platform. The developed system facilitates the management of institutional profile and department information, as well as the digitization of PR services, such as graphic design requests, event coverage, social media posts, and passport photo production. In addition to serving as an official information channel accessible to the public, this system also supports a more structured, documented, and integrated public relations service process. The system’s implementation demonstrates that institutional information management has become more centralized, public relations service processes are more efficient, and it supports improved effectiveness in information dissemination and the strengthening of the institution’s image. Thus, the developed information system can serve as a solution to support the implementation of Smart Campus through integrated information management and public relations services, thereby enhancing the effectiveness of institutional branding in the era of digital transformation.
Evaluasi Kinerja Komputasi YOLOv12 dan FastSAM untuk Pengenalan Objek Wajah Vergina Sawmitha Adompo; Teguh Raharjo; Kahfi Heryandi Suradiraja
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 07 (2026): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i07.2604

Abstract

Teknologi pengenalan wajah sangat bergantung pada tahap pra-pemrosesan untuk memisahkan objek wajah dari latar belakang yang kompleks dan tidak relevan. Studi ini mengevaluasi arsitektur hibrida yang menggabungkan detektor YOLOv12 dan model segmentasi tingkat piksel FastSAM sebagai solusi pra-pemrosesan komprehensif. Alur kerja sekuensial dijalankan di lingkungan Google Colab, di mana YOLOv12 berfungsi sebagai detektor utama untuk memberikan petunjuk bounding box kepada FastSAM. Hasilnya menunjukkan bahwa YOLOv12 bertindak sebagai lokalisator yang agresif dan sangat responsif, mencapai Recall 81,96% dan mAP@50 78,95% selama 100 epoch pelatihan. Bounding box yang dihasilkan kemudian digunakan oleh FastSAM untuk memurnikan wilayah yang terdeteksi dan menghilangkan noise latar belakang. Meskipun pengujian kuantitatif awalnya mencatat nilai mIoU anomali sebesar 0,14%, investigasi visual komprehensif membuktikan bahwa ini murni disebabkan oleh kesalahan pembacaan struktural dalam data anotasi ground truth selama eksekusi skrip evaluasi, bukan kegagalan arsitektur. Secara empiris, integrasi jaringan bertingkat ini telah terbukti sangat kuat dan efektif dalam mengisolasi wajah di berbagai skenario visual dunia nyata yang menantang, memberikan dasar masukan yang ideal dan bersih untuk ekstraksi fitur biometrik selanjutnya.
Mechanical Design of a 50 kg/hour Capacity Meat Grinder for Meatball Processing Using SolidWorks Rahmatullah; Muhammad Rizky Ramadhiansyah; Arfis Amiruddin
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 07 (2026): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i07.2633

Abstract

Abstract is a brief representation of the whole article which contains the context of the problem (background), the purpose of the research, the principal methods, the results and the major conclusion (contribution). An abstract is often presented separately from the article, so it must be able to stand alone. Thus, the reference must be avoided. Abstract must be written in Nunito , with no more than 300 words in one paragraph. The development of food processing machine designs and technologies that are appropriate, effective, and economical continues to be carried out. The same effort is applied to the development of meat grinding technology for household-scale, small business, and industrial meat processing. The meat grinding process aims to refine meat so that it can be processed into meatball products. Meat grinding machines have been developed by previous researchers with various capacities, such as 6 kg, 8 kg, 40 kg, and others. This meat grinding machine was designed using SolidWorks with dimensions of 506 mm × 305 mm × 705 mm. It has a relatively simple construction, is safe, and is easy to operate. The driving system of the meat grinder uses a 1 hp electric motor with a power output of 750 watts and a rotational speed of 2280 rpm. The meat grinding machine for meatball processing was designed with a capacity of 50 kg/hour. Based on the design results, it was found that the developed meat grinding machine has a relatively larger capacity compared to previous designs, more complete equipment components, and is easier to operate. In future research, this meat grinding machine will be developed with a PLC control system and based on the Internet of Things (IoT).
Optimized MobileNetV2 for Tomato Leaf Disease Classification Using AutoAugment, AdamW, and Cosine Annealing Learning Rate Pandi Barita Nauli Simangunsong; Tuti Andriani; Matias Julyus Fika Sirait
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 07 (2026): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i07.2636

Abstract

Tomato leaf diseases pose a significant challenge to agricultural productivity, as delayed or inaccurate disease identification can substantially reduce crop yield and quality. Recent advances in deep learning have demonstrated considerable potential for automated plant disease classification; however, many existing approaches rely heavily on transfer learning and computationally intensive convolutional neural network (CNN) architectures. This study proposes an optimized MobileNetV2 framework trained entirely from scratch for tomato leaf disease classification by integrating AutoAugment for automated data augmentation, the AdamW optimizer for effective parameter optimization, and a Cosine Annealing Learning Rate scheduler to achieve stable model convergence. Experiments were conducted using the PlantVillage tomato leaf dataset comprising ten disease categories, including healthy leaves. The proposed model was trained for 50 epochs without employing pre-trained ImageNet weights. Experimental results demonstrated stable convergence, with the training loss decreasing from 1.5569 to 0.5543 and the validation loss decreasing from 2.5431 to 0.5754, indicating good generalization performance without significant overfitting. The proposed framework achieved a best validation accuracy of 92.89%, with 92.95% precision, 92.89% recall, and an F1-score of 92.87%. These findings indicate that the integration of AutoAugment, AdamW, and Cosine Annealing effectively enhances the learning capability of MobileNetV2 even without transfer learning. The proposed approach provides a lightweight and computationally efficient solution suitable for deployment on resource-constrained devices, making it a promising alternative for real-time tomato leaf disease diagnosis in smart agriculture applications.

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