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All Journal Jurnal Sarjana Teknik Informatika JUITA : Jurnal Informatika Sebatik ILKOM Jurnal Ilmiah Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Informatika : Jurnal Informatika, Manajemen dan Komputer Jurnal Mantik Jurnal Ilmu Komputer dan Bisnis Madani : Indonesian Journal of Civil Society Jurnal UNITEK Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Jurnal Mandiri IT Profisiensi : Jurnal Program Studi Teknik Industri Arcitech: Journal of Computer Science and Artificial Intelligence Jurnal Teknologi Komputer dan Informasi Journal of Computer Science Contributions (Jucosco) Smart Humanity: Jurnal Pengabdian Masyarakat Journal of Applied Computer and Information Technology
Mustazzihim Suhaidi
Institut Teknologi Dan Bisnis Riau Pesisir
Religion Agriculture, Biological Sciences & Forestry Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Nursing Public Health Social Sciences Other

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Pengembangan Media Pembelajaran Berbasis Multimedia untuk Mata Pelajaran Tematik Terpadu Kelas IV A Savira, Firda; Sellyana, Ari; Suhaidi, Mustazzihim
Jurnal Teknologi Komputer dan Informasi Vol. 13 No. 1 (2025): Januari - Juni 2025
Publisher : Sekolah Tinggi Teknologi Dumai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52072/jutekinf.v13i1.821

Abstract

Penggunaan media pembelajaran merupakan bagian yang tidak bisa dipisahkan dan sudah merupakan suatu integrasi terhadap metode belajar yang dipakai. Salah satu contoh media pembelajaran dengan memanfaatkan perkembangan teknologi di bidang pendidikan adalah media pembelajaran berbasis multimedia interaktif. Saat ini metode pembelajaran yang digunakan dalam penyampaian materi pelajaran Tematik Terpadu di SDN 091 Dumai masih menggunakan media buku cetak dengan guru sebagai perantara penyampaian materi secara manual dan belum menggunakan media pendukung lain selain buku cetak. Hal ini menyebabkan siswa tidak antusias dalam memahami materi yang diberikan oleh guru karna sumber belajar yang terbatas dan motivasi siswa dalam pembelajaran Tematik Terpadu. Oleh karena itu, penulis mengambil penelitian yang berjudul “Pengembangan Media Pembelajaran Berbasis Multimedia Interaktif Untuk Mata Pelajaran Tematik Terpadu Pada Kelas IV”. Tujuan dari penelitian ini adalah untuk menghasilkan media pembelajaran berbasis Multimedia Interaktif dalam bentuk video animasi dan untuk mengevaluasi kelayakan, praktis, dan efektivitasnya untuk penyemangat siswa.
Pelatihan dan Sosialisasi Aplikasi Pengajuan Tugas Akhir (Skripsi) Berbasis Online Suhaidi, Mustazzihim; Satria, Devit; Harfida, Elisa; Mahmud, Soni Fajar; Wati, Lidya
Journal Of Computer Science Contributions (JUCOSCO) Vol. 2 No. 2 (2022): Juli 2022
Publisher : Lembaga Penelitian, Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/5awxdh22

Abstract

Final Project is a term used in Indonesia to illustrate a scientific paper in the form of exposure to written research results, discussing a problem in a particular field of science by using applicable rules. STIA Lancang Kuning is still not effective and efficient in terms of campus services for final year students, especially when submitting the final project title because it still uses manual methods. The file study program is recapsed one by one into Microsoft Excel, so there is a high risk of data input errors due to human error, not to mention the possibility of duplicate titles that could have occurred, where titles that have been submitted can be submitted again by other students. The process needs to be supported by implementing technology, namely by using the web as an implementing medium. The author uses the PHP programming language and MYSQL database which aims to build an information system for the final project title submission which is expected to support and facilitate the process of submitting the final project title and easily obtain information about campus services, especially when submitting a final project at STIA Lancang Kuning.
Stacking-Based Hybrid Ensemble Learning for Security Personnel Attendance Prediction and Performance Classification Nurhadi Nurhadi; Khairul Azmi Azmi; Mustazzihim Suhaidi Suhaidi; Sandi Fadilah Fadilah
Jurnal Sarjana Teknik Informatika Vol. 14 No. 2 (2026): Juni
Publisher : Program Studi Informatika, Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jstie.v14i2.32090

Abstract

Monitoring the attendance and performance of campus security personnel is essential to ensure operational effectiveness and service reliability. However, conventional monitoring approaches are often manual, fragmented, and prone to inaccuracies, limiting timely decision-making. This study proposes a stacking-based hybrid ensemble machine learning model for predicting security personnel attendance and classifying performance within the SIMSATPAM campus monitoring system at Institut Teknologi dan Bisnis Riau Pesisir. The proposed method integrates Random Forest, Support Vector Machine (SVM), and XGBoost as base learners, while Logistic Regression is employed as the meta-learner to improve predictive capability and classification robustness. To prevent overfitting and data leakage, the stacking architecture utilizes K-Fold Cross-Validation and Out-of-Fold (OOF) prediction mechanisms during meta-learner training. Experimental results demonstrate that the proposed stacking hybrid ensemble model outperforms individual classifiers across all evaluation metrics. The model achieved an accuracy of 94.27%, precision of 93.81%, recall of 93.45%, and F1-score of 93.62%, improving accuracy by 4.13% compared to Random Forest, 5.51% compared to SVM, and 2.24% compared to XGBoost. Furthermore, the proposed model produced stable multi-class classification performance for attendance prediction and personnel performance evaluation. Analysis indicates that attendance duration, shift schedule, and lateness frequency are the most influential variables affecting prediction outcomes. These findings confirm that the proposed stacking-based hybrid ensemble approach provides an effective intelligent decision-support system for automated campus security monitoring and personnel management in smart campus environments.
Development of a customs-integrated warehouse management system for inbound and outbound goods monitoring Tri Handayani; Mustazzihim Suhaidi
Jurnal Mandiri IT Vol. 15 No. 1 (2026): July: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v15i1.545

Abstract

The growth of international trade and customs-related logistics activities has increased the complexity of warehouse operations, particularly in managing inventory, inbound and outbound transactions, and customs document administration. This study aimed to develop a Customs-Integrated Warehouse Management System (CI-WMS) for monitoring inbound and outbound goods in customs-regulated warehouse environments in Dumai. The system was developed using the System Development Life Cycle (SDLC) based on the Waterfall model, which consists of requirements analysis, system design, implementation, and testing stages. The proposed system integrates product management, importer management, customer management, warehouse management, inbound and outbound transaction processing, customs document administration, and reporting functions within a centralized web-based platform. Functional testing was conducted to evaluate the performance of each system module based on predefined requirements. The testing results demonstrated that all modules operated successfully and produced valid outputs. The developed CI-WMS improves inventory visibility, supports inbound and outbound monitoring, enhances goods traceability, and facilitates customs document management within a single integrated system. The proposed system contributes to improving operational efficiency and supporting customs compliance in warehouse operations.
Pengembangan Video Company profile Berbasis Animasi 2D sebagai Media Informasi Digital pada Rutan Kelas IIB Dumai Handayani, Tri; Mustazzihim Suhaidi; Mahyuli, Dela
SMART HUMANITY : Jurnal Pengabdian Masyarakat Vol. 3 No. 2: Juni 2026
Publisher : CV. Smart Scienti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70427/sh.v3i2.312

Abstract

Perkembangan teknologi multimedia telah mendorong berbagai instansi untuk memanfaatkan media digital sebagai sarana penyebaran informasi kepada masyarakat. Rutan Kelas IIB Dumai membutuhkan media yang efektif untuk menyampaikan informasi mengenai profil instansi, visi dan misi, tugas dan fungsi, fasilitas, program pembinaan warga binaan, serta kondisi terkini. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk mengembangkan video company profile berbasis animasi 2D sebagai media informasi digital bagi Rutan Kelas IIB Dumai. Proses pengembangan meliputi tahapan analisis kebutuhan, pra-produksi, produksi, pasca-produksi, dan implementasi dengan menggunakan Adobe Illustrator, Adobe After Effects, dan Adobe Media Encoder. Hasil kegiatan berupa video company profile yang mengintegrasikan ilustrasi, animasi, teks, narasi, dan audio untuk menyajikan informasi institusi secara menarik. Berdasarkan hasil implementasi dan presentasi, video yang dikembangkan telah sesuai dengan kebutuhan mitra dan dapat dimanfaatkan sebagai media informasi dan publikasi institusi. Video yang dihasilkan dapat meningkatkan efektivitas penyebaran informasi kepada masyarakat serta memperkuat citra institusi melalui pemanfaatan media.
Edge AI-Based Multimodal Biometric Smart Reader Using YOLOv8 for Integrated Academic Attendance Systems Nurhadi Nurhadi; Emil Naf'an; Desyanti Desyanti; Mustazzihim Suhaidi
JUITA: Jurnal Informatika JUITA Vol. 14 Issue 2, July 2026
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v14i2.30527

Abstract

Attendance systems in vocational education institutions face challenges related to accuracy, security, and susceptibility to manipulation due to the use of single-modality authentication methods. RFID-based systems are vulnerable to card sharing, fingerprint systems suffer from latency during peak usage, and face recognition systems are sensitive to illumination and pose variations. This study proposes an Edge AI-based multimodal biometric smart reader integrating RFID, fingerprint, and YOLOv8-based face recognition for an academic attendance system at SMK Negeri 1 Dumai. The system is implemented on NVIDIA Jetson Nano as an edge computing device and integrated with an academic information system through an IoT-based architecture for real-time attendance monitoring. A decision-level fusion approach using majority voting is applied, where authentication is accepted if at least two of three modalities match. The system is evaluated using accuracy, False Acceptance Rate (FAR), False Rejection Rate (FRR), and response time. Experimental results show that the proposed multimodal system achieves an accuracy of 98.72%, outperforming RFID (89.34%), fingerprint (92.15%), and YOLOv8 face recognition (95.63%). The system also reduces FAR to 0.82% and FRR to 0.91%, with an average response time of 1.47 seconds, making it suitable for real-time deployment. Overall, the proposed Edge AI-based multimodal biometric system demonstrates high accuracy, improved security, and efficient real-time performance, providing a scalable solution for intelligent attendance systems in vocational education environments.
Design and Quantitative Evaluation of a Keycloak-Based Single Sign-On Architecture for Integrated Institutional Information Systems Nurhadi Nurhadi; Mustazzihim Suhaidi; Muhammad Athariq
ILKOM Jurnal Ilmiah Vol 18, No 2 (2026)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v18i2.3368.237-254

Abstract

The increasing integration of digital services in higher education institutions requires a secure and scalable authentication mechanism to ensure consistent access across multiple systems. However, fragmented authentication approaches often result in repeated login processes, inconsistent security policies, and inefficient identity management. This study proposes a modular Single Sign-On (SSO) architecture based on Keycloak, integrated with OAuth 2.0, OpenID Connect, and JSON Web Tokens (JWT), to support unified authentication in institutional information systems. A quantitative experimental approach is employed to evaluate system performance in a real academic environment involving 100 user accounts. The evaluation focuses on authentication efficiency, scalability, reliability, and user productivity. The results show a 62% reduction in average login time, an 85% increase in authentication throughput, and a 100% authentication success rate. Scalability testing indicates stable system performance under concurrent workloads, while token validation overhead remains minimal, ensuring that security enhancements do not degrade system responsiveness. In addition, task completion time decreases by 51%, accompanied by a significant improvement in user productivity. These findings demonstrate that the proposed Keycloak-based SSO architecture provides measurable improvements in performance, scalability, security governance, and usability. The study contributes to software systems engineering by presenting a validated architectural model and a comprehensive quantitative evaluation framework for identity management in higher education environments.
Implementation of Real-ESRGAN for image resolution enhancement in a YOLOv8-based vehicle license plate identification system under low-light conditions Tri Handayani; Mustazzihim Suhaidi
Journal of Applied Computer and Information Technology Vol. 1 No. 2 (2026): Journal of Applied Computer and Information Technology (JACoIT)
Publisher : Global Research Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67131/jacoit.v1i2.24

Abstract

Vehicle license plate identification systems still face significant challenges under low-light conditions, including low image resolution, high noise levels, and decreased detection accuracy. Conventional methods such as contrast enhancement or filtering are often insufficient to recover textual details of license plates. This study implements Real-ESRGAN (Enhanced Super-Resolution Generative Adversarial Network) for image resolution enhancement prior to license plate detection using YOLOv8. The proposed system is deployed on an NVIDIA Jetson Nano edge computing device to support real-time inference. Low-quality input images acquired under low-light conditions are first enhanced using Real-ESRGAN to restore image details and improve resolution. The enhanced images are then processed by YOLOv8 for license plate detection and character recognition. Experiments were conducted on 1,200 vehicle license plate images captured under three conditions: nighttime, underground parking, and heavy rain. Evaluation results show that Real-ESRGAN improves PSNR by 4.21 dB and SSIM by 0.12 compared with the original low-light images. License plate detection accuracy (mAP@0.5) increases from 71.32% to 94.58%, and character recognition accuracy improves from 65.47% to 91.23%. The average system response time is 1.89 s, which remains within an acceptable range for real-time smart parking applications. Overall, the proposed Real-ESRGAN–YOLOv8 framework effectively improves vehicle license plate identification under low-light conditions.
Co-Authors Desyanti - Desyanti Desyanti Desyanti Devit Satria Elisa Erfida Elisa Hafrida Elisawati Elisawati Emil Naf'an Febrina Sari Febrina, Wetri Ferry Nayoan Firman Tawakal Fitra Fitra, Fitra Harfida, Elisa Hayatullah Khumaini Juni Saputra Khairul Azmi Azmi Latip, Latip Lidya Wati Mahmud, Soni Fajar Mahyuli, Dela Masrizal Masrizal Mirawan Mirawan Muhamad Iqbal Fikri Muhammad Arif Muhammad Athariq Nugraha, Nur Budi Nur Budi Nugraha Nurhadi Nurhadi Nurhadi Nurhadi, Nurhadi Qomaratun Nurlaila, Qomaratun Rudi Faisal S, Juni Sandi Fadilah Fadilah Satria, Devit Savira, Firda Sellyana, Ari Soni Fajar Mahmud Tri Handayani Tri Handayani Tri Handayani Yuliati, Tri Zam Zami