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INOVTEK Polbeng - Seri Informatika
Published by Politeknik Negeri Bengkalis
ISSN : 25279866     EISSN : -     DOI : https://doi.org/10.35314
Core Subject : Science,
Computer Science & IT
The Journal of Innovation and Technology (INOVTEK Polbeng—Seri Informatika) is a distinguished publication hosted by the State Polytechnic of Bengkalis. Dedicated to advancing the field of informatics, this scientific research journal serves as a vital platform for academics, researchers, and practitioners to disseminate their insightful findings and theoretical developments. Scope and Focus: INOVTEK Polbeng - Seri Informatika focuses on a broad spectrum of topics within informatics, including but not limited to Web and Mobile Computing, Image Processing, Machine Learning, Artificial Intelligence (AI), Intelligent Systems, Information Systems, Databases, Decision Support Systems (DSS), IT Project Management, Geographic Information Systems, Information Technology, Computer Networks and Security, and Wireless Sensor Networks. By covering such a wide range of subjects, the journal ensures its relevance to a diverse readership interested in both the practical and theoretical aspects of informatics.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 269 Documents
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UNO Studio's Digital Reservation and Payment Process System Uses a Prototype Approach and Midtrans Payment Integration Fariansyah Arkanda, Rayangga; Suharso, Wildan
INOVTEK Polbeng - Seri Informatika Vol. 11 No. 1 (2026): February
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/reknzy77

Abstract

Digital transformation is crucial for small and medium-sized enterprises (SMEs) to remain competitive and more efficient in the modern era. This research focuses on the digitalization process of UNO Studio, a company that provides photography and studio rental services. Currently, UNO Studio faces operational challenges due to its manual reservation system. This manual method can lead to delays, scheduling errors, and inefficiencies. Therefore, this research aims to upgrade UNO Studio's reservation system to a web-based system fully integrated with a digital payment system. The method used is a prototype approach applied in the software reengineering process. The system was built using HTML, CSS, and JavaScript, with Supabase as the data manager and Midtrans to integrate payments automatically and in real time. Black-box testing results show that all key system features run smoothly without errors. Furthermore, User Acceptance Testing (UAT) results indicate a user satisfaction rate of 88.70%, considered excellent. Overall, this system successfully automates the entire reservation and payment process, improving operational efficiency and service accuracy and enhancing the quality of customer service through secure and easy-to-use digital integration.
Application of Genetic Algorithm and Or-Tools for Cloud-Based Course Scheduling Optimization Jabbar, Salamul; Safwandi; Kurniawati; Eva Darnila; Fuadi, Wahyu
INOVTEK Polbeng - Seri Informatika Vol. 11 No. 1 (2026): February
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/qymmt569

Abstract

Course scheduling in higher education institutions is a complex combinatorial optimization problem involving numerous constraints such as lecturer availability, room capacity, time slots, and course distribution across semesters. Manual scheduling practices often result in conflicts, inefficient resource utilization, and prolonged preparation time. This study proposes a hybrid course scheduling system that integrates a genetic algorithm (GA) and constraint programming using the CP-SAT solver from OR-Tools. The GA is employed in the first phase to generate optimal course sections based on student enrollment, lecturer workload, and capacity constraints. The best solution produced by the GA is then refined using CP-SAT to generate a conflict-free timetable that satisfies all hard constraints, including lecturer, room, and time conflicts, while also optimizing selected soft constraints. The proposed system is implemented as a web-based application deployed on Microsoft Azure, enabling scalability and accessibility. Experimental results using real academic data demonstrate that the hybrid approach successfully produces feasible schedules with zero conflicts and significantly reduces scheduling time compared to manual methods. The results confirm that the integration of GA and CP-SAT provides an effective and flexible solution for university course scheduling problems.
Optimising Financial Transparency in the Oregon Cluster through the Development of a Web-Based System and Intelligent AI Chatbot Tyoffadhil Haidar; Permata Sari, Dian
INOVTEK Polbeng - Seri Informatika Vol. 11 No. 1 (2026): February
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/r3k83309

Abstract

Managing finances within neighborhood associations frequently encounters persistent hurdles regarding transparency and the speed of information delivery. This study develops a web-based financial platform for the Oregon Cluster, uniquely integrated with a Gemini-powered virtual assistant to enable real-time data inquiries. The novelty of this research lies in the integrated service model that pairs an automated payment gateway with conversational AI, effectively removing traditional bottlenecks in community reporting. Performance evaluation showed significant improvements compared to manual processes payment verification latency dropped by over 99.9% (from 24–48 hours to less than 10 seconds), and the time required for residents to access specific balance information was reduced by approximately 95% (from 5–10 minutes to near-instantaneous retrieval). Functional validation via Black Box Testing achieved a 100% success rate across 15 core modules. Furthermore, a System Usability Scale (SUS) evaluation with 21 respondents yielded an average score of 85.36, placing the system in the "Good" to "Excellent" category. While highly effective, feedback indicates a need to further simplify the administrative interface to reduce the treasurer's cognitive load. Overall, this integrated system markedly strengthens local financial accountability and empowers residents to monitor cash reports independently and efficiently
Implementation of AES-128 Encryption for Fingerprint Template Protection in ESP32-Based Biometric Ticketing System Subandri, Muhammad Asep; Tedyyana, Agus; Putu Mahendra, I Gusti Agung
INOVTEK Polbeng - Seri Informatika Vol. 11 No. 1 (2026): February
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/mkks1830

Abstract

Biometric ticketing systems utilizing fingerprint recognition provide enhanced security and convenience for passenger identification in public transportation. However, the transmission of fingerprint templates over wireless networks without adequate cryptographic protection exposes the system to interception attacks and privacy breaches. This research implements AES-128 encryption in Cipher Block Chaining (CBC) mode to protect fingerprint templates transmitted within an ESP32-based biometric ticketing system. The implementation leverages the ESP32’s integrated mbedTLS library with hardware acceleration to achieve efficient cryptographic operations. Experimental evaluation using 10 fingerprint template samples demonstrates a 100% success rate for encryption-decryption operations. Performance measurements indicate an average encryption latency of 2.30 ms and decryption latency of 2.10 ms, with a data size overhead of 32 bytes (6.25%) due to Initialization Vector (IV) and PKCS7 padding. The results confirm that the proposed encryption scheme effectively secures biometric data transmission while maintaining system responsiveness suitable for real-time applications.
Design of an Intelligent Vehicle Manifest Recording System at the Bengkalis-Sungai Pakning Ro-Ro Ferry Crossing Based on Deep Learning and Optical Character Recognition Jaroji; Danuri; Tedyyana, Agus
INOVTEK Polbeng - Seri Informatika Vol. 11 No. 1 (2026): February
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/894v9b70

Abstract

Vehicle manifest recording in Ro-Ro ferry services is still predominantly conducted manually, which may lead to operational inefficiencies and data inconsistencies. This study presents an automated vehicle manifest recording system for the Bengkalis–Sungai Pakning Ro-Ro ferry crossing by leveraging deep learning and Optical Character Recognition (OCR) technologies. The proposed system utilizes CCTV or IP cameras to capture vehicle images, performs frame extraction from video streams, and applies YOLOv11 for real-time vehicle and license plate detection. The detected license plate regions are subsequently processed using an OCR module to extract textual vehicle identification information. The detection model was trained using a publicly available vehicle and license plate dataset. Experimental evaluation on the vehicle and license plate dataset shows that the YOLOv11 model achieves a precision of 85.9%, recall of 84.0%, and mAP@0.5 of 87.8% for vehicle and plate detection. OCR evaluation conducted on real operational test images indicates a recognition success rate of 57.5%, with an average confidence score of 0.63 for successfully recognized plates. Further analysis reveals that illumination level and plate scale (distance proxy) are the dominant factors affecting OCR performance, while tilt angle exhibits moderate influence. These results indicate that the proposed framework provides reliable visual detection performance and identifies critical environmental constraints that must be addressed for robust automated manifest deployment in Ro-Ro ferry environments.
Sentiment Analysis of the Free Nutritious Meal Program Using IndoBERT and RCNN Methods Ancilla Nebrisca Valonika; Kristoko Dwi Hartomo
INOVTEK Polbeng - Seri Informatika Vol. 11 No. 1 (2026): February
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/qg9bfb89

Abstract

This study examines public sentiment regarding the Free Nutritious Meal Program through a deep learning-based sentiment classification methodology applied to X and TikTok. The suggested method uses a hybrid IndoBERT RCNN architecture, with IndoBERT being used to extract features and RCNN being used to classify sentiment. There are 10,000 comments from each platform in the dataset. These comments went through preprocessing and sentiment labeling steps. Model evaluation was conducted using stratified K-fold cross-validation with different combinations of learning rate, batch size, and epochs. The best configuration achieved an accuracy and F1-score of 78% on X and 83% on TikTok. The model performs well in identifying overall sentiment patterns, although neutral sentiment remains challenging to classify, particularly in X data containing sarcastic or indirect language. These findings provide empirical insights into cross-platform sentiment characteristics and highlight the potential of this approach for testing sentiment monitoring strategies across platforms.
Comprehensive Analysis: A Review of Loan Origination Systems from Information Systems and Regulatory Perspectives Saleh, R. Ali Fajar; Herwanto, Patah; Nasution, Harmansyah
INOVTEK Polbeng - Seri Informatika Vol. 11 No. 1 (2026): February
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/s2302h34

Abstract

The Loan Origination System (LOS) has become a key infrastructure in Indonesia’s digital mortgage lending ecosystem, where technological innovation increasingly intersects with regulatory governance. This study examines LOS through an integrated perspective that bridges information systems architecture and legal-regulatory frameworks. Using a qualitative normative-analytical approach grounded in systematic document analysis (2021–2026) and thematic synthesis, the research identifies a triple-layer compliance gap: a regulatory gap in technical specification, an implementation gap between regulatory intent and system design, and a legal defensibility gap concerning evidentiary robustness. The study proposes a conceptual legal-by-design framework integrating technical security, regulatory alignment, and evidentiary considerations within a unified architectural model. Rather than offering a validated industry standard, the framework serves as an analytical proposal to inform future empirical research and institutional system development.
Strategic Information Systems Planning in the Sheet Glass Distribution Industry Angelique Stefany Rusli; Prillysca Chernovita , Hanna
INOVTEK Polbeng - Seri Informatika Vol. 11 No. 1 (2026): February
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/8k05fx86

Abstract

This study aims to design strategic planning for Information Systems (IS) and Information Technology (IT) at PT. Sentral Kaca Cirebon, a flat glass distributor facing operational efficiency challenges. Amidst the increasingly fierce competition in the building materials industry, the current manual processes are the main obstacle to company agility. This study uses a qualitative method with the Ward and Peppard framework of the Digital Strategy Model (DSM) methodology to align business strategy with IS/IT strategy. Environmental analysis was conducted using SWOT analysis, Porter's value chain, Porter's five forces, PESTLE, and McFarlan's strategic grid. The results of the study formulate a roadmap and portfolio of future applications called "SISKA" (Central Glass Information System), which includes an inventory management module, a B2B customer portal, and a glass cutting optimization system. The implementation of this strategy is projected to improve operational efficiency, stock data accuracy, and the company's competitiveness in the West Java regional market.
Arduino UNO Application for Temperature Control Chicken Eggs Incubator Machine Nainggolan, Rufinus; Kamil, Idham; Qadry, Al; Pangihutan Sibarani, Marlon Tua; Sinabutar, Dohar; Br. Ginting, Berta
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 3 (2025): November
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/h94a3q23

Abstract

Poultry animals such as chickens incubate their eggs in three weeks to hatch their eggs, which sometimes the egg yields are not optimal so that a poultry egg incubator and its system are needed to optimize the results of hatching in which this built-in incubator with a capacity of 300 eggs with a rack system that rotates automatically based on Arduino Uno, using a digital temperature and hygrometer sensor so that the temperature can be set at 38-39 0C and the humidity can be set at 55-70% according to the egg hatching temperature and humidity, and from the test results obtained, the number of eggs that do not hatch and hatch both that hatch normally, defective, and die, the research conducted, for chicken eggs, which originally amounted to 300 eggs to be hatched, 291 eggs that hatched well, 5 defective eggs, and 3 eggs that died and 1 egg that does not have any embryos, and the result that this chicken egg incubator machine is capable of hatching eggs 97%.

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