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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 65 Documents
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Search results for , issue "Vol. 10 No. 3 (2025): November" : 65 Documents clear
Design and Development of a Make-Up Service Portal in Kudus Regency Using the Customer Satisfaction Index Method Umi Wahidasiana; Eko Darmanto; Arif Setiawan
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/zga6c449

Abstract

Cosmetology services play an important role in enhancing an individual's self-confidence. In Kudus Regency, many makeup service providers still rely on manual ordering methods, which are prone to recording errors, limited information on service availability, and miscommunication between customers and service providers. This condition hampers operational efficiency and reduces the level of customer satisfaction. This research aims to develop a digital-based make-up service portal to improve service quality and customer satisfaction, which consists of the stages of needs analysis, system design, implementation, testing and maintenance The research method used is qualitative research; data is collected through in-depth interviews with customers, which consists of the stages of needs analysis, system design, implementation, testing, and maintenance. The system developed has main features such as online ordering and service catalogues, as well as CSI-based customer satisfaction evaluations that measure aspects of price, service quality, and user experience. Evaluation using the CSI method shows a customer satisfaction level of 88% with 300 respondents, which indicates that this system is effective in improving user experience and operational efficiency of service providers. In conclusion, the development of this digital-based make-up service portal has succeeded in increasing customer satisfaction and the competitiveness of make-up service providers in Kudus Regency. Further development recommendations are integration with digital payment systems and the use of artificial intelligence technology for more personalized service recommendations.  
Analysis of Openwrt-Based X86 Router Performance in Bandwidth Management on Local Internet Network Alqhaniyyu, Faris; Soim, Sopian; Zakuan Agung, Muhammad
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/h7m8mz76

Abstract

This research aims to analyze the performance of OpenWRT-based x86 routers in local network bandwidth management through the application of Quality of Service (QoS), traffic shaping, and rate limiting features based on NFTables. Testing was conducted directly on the local network of Muara Merang Village for two weeks using an x86 mini PC as the main router. Data was collected using Wireshark and Ping to measure throughput, latency, jitter, and packet loss parameters before and after QoS configuration. The results showed an increase in VoIP service throughput from 950 Kbps to 1,296 Kbps (±36% increase), latency dropped from 38 ms to 3 ms (±92% decrease), jitter from 18 ms to 6 ms, and packet loss reduced from 2.5% to 0%. While on 4K streaming services, throughput increased from 19 Mbps to 27 Mbps (±42% increase), latency dropped from 63 ms to 47 ms, and jitter from 55 ms to 47 ms, with total elimination of packet loss. This study makes a novel contribution by testing the effectiveness of QoS on x86 architecture-based OpenWRT in a local context that has rarely been objectified before, in contrast to previous studies that predominantly used ARM/MIPS architecture and small network scenarios. The findings reinforce the potential of combining OpenWRT and x86 devices as an adaptive and cost-effective networking solution for MSMEs, educational institutions, and digital communities in infrastructure-constrained regions.
Evaluating Database Encryption: a Comparative Study of PostgreSQL Implementations With EnterpriseDB TDE and Cybertec TDE Ahsan, Ahmad Syauqi; Zakiyyah Arisa, Enny; Aqilah Jilan, Reyhana
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: 10.35314/1dp5mp08

Abstract

In the digital era, protecting sensitive data has become an urgent necessity as incidents of identity theft and information breaches continue to rise. Transparent Data Encryption (TDE) offers a solution by enabling storage-level encryption without requiring changes to applications; however, PostgreSQL does not natively support TDE. Vendors such as EnterpriseDB and Cybertec have developed TDE implementations that can be integrated to address this security need. This study aims to explore the implementation of TDE on PostgreSQL and evaluate its impact on system performance and data security. An experimental approach was employed using the pgbench benchmarking tool. Performance tests were conducted on databases of varying sizes—from 50 to 5,000,000 rows under both low‑load and high‑load conditions. The primary metrics were transactions per second (TPS) and average transaction latency. Test results indicate that implementing TDE significantly enhances resistance to unauthorized access but incurs a notable performance penalty. The Cybertec non-TDE solution achieved the highest TPS and lowest latency, whereas Cybertec with TDE experienced an encryption overhead that reduced throughput by approximately 25–35%. Meanwhile, the EnterpriseDB non-TDE configuration demonstrated more stable performance, exhibiting a smaller standard deviation compared to the TDE implementation. In conclusion, adopting TDE on PostgreSQL substantially increases data protection, yet organizations must weigh this security benefit against the resultant performance decline. Future recommendations include optimizing encryption configurations and investigating hardware‑acceleration techniques to minimize overhead.  
Evaluation of the Effect Of Regularization on Neural Networks for Regression Prediction: A Case Study of MLLP, CNN, and FNN Models Susandri; Zamsuri, Ahmad; Nasution, Nurliana; Ramadhani, Maya
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/m2rcsf96

Abstract

Regularization is an important technique for developing deep learning models to improve generalization and reduce overfitting. This study evaluated the effect of regularization on the performance of neural network models in regression prediction tasks using earthquake data. We compare Multilayer Perceptron (MLP), Convolutional Neural Network (CNN), and Feedforward Neural Network (FNN) architectures with L2 and Dropout regularization. The experimental results show that MLP without regularization achieved the best performance (RMSE: 0.500, MAE: 0.380, R²: 0.625), although prone to overfitting. CNN performed poorly on tabular data, while FNN showed marginal improvement with deeper layers. The novelty of this study lies in a comparative evaluation of regularization strategies across multiple architectures for earthquake regression prediction, highlighting practical implications for early warning systems.
Audit of the SRIKANDI Information System at the Banten Regional Library and Archives Department using the COBIT 5 Framework Rizqa Ramadhian, Putri; Putra Aryono, Gagah Dwiki; Masyhuri, Maman
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/yp9vec46

Abstract

Digital transformation in the Indonesian government requires reliable and standardized information systems to support quality public services. The Integrated Dynamic Archives Information System (SRIKANDI) is a mandatory archival application for government agencies but faces various technical challenges in implementation. This research aims to evaluate SRIKANDI implementation at the Banten Regional Library and Archives Office using the COBIT 5 framework to identify system maturity levels and areas requiring improvement. The research method uses a quantitative approach with a case study, implementing the COBIT 5 Process Assessment Model (PAM) on EDM01, DSS01, and DSS03 domains through triangulation of observation, interviews, and documentation studies. Research results show the system is at capability level 1 with scores of DSS03 (80%), EDM01 (61.11%), and DSS01 (16.66%), indicating a gap of 2 to achieve target level 3. The study concludes that SRIKANDI has been operational but requires improved documentation, process standardization, and supporting feature implementation to achieve optimal maturity level in supporting digital archival transformation.
Application of Machine Learning in Analyzing Bandwidth Usage Patterns for Internet Service Providers Nurmakhlufi, Alfin Hilmy; Zuliarso, Eri
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/h2p5s858

Abstract

This study aims to address bandwidth management challenges faced by Internet Service Providers (ISP) through the application of machine learning techniques for analyzing usage patterns and forecasting future demand. A key novelty of this research lies in the combined use of K-Means clustering for dynamic customer segmentation based on real-time utilization patterns, followed by accurate short-term forecasting using Random Forest regression, specifically tailored for corporate client bandwidth planning. Data was collected from 12 corporate customers over a three-month period (January–March 2025) at five-minute intervals using the PRTG Network Monitor. The analytical workflow included data preprocessing, customer segmentation using K-Means clustering, and short-term bandwidth prediction using Random Forest regression. The clustering results classified customers into three main categories: underutilized, optimal, and overutilized, with a silhouette score of 0.663 indicating good cluster separation. The regression model achieved a coefficient of determination (R²) of 0.931, a Mean Absolute Error (MAE) of 0.036 Mbps, and a Root Mean Square Error (RMSE) of 0.062 Mbps, demonstrating high predictive accuracy for operational planning. This study is limited by the relatively short observation period and the exclusion of external variables in the modeling process. For future work, the use of deep learning methods such as Long Short-Term Memory (LSTM) or Temporal Convolutional Networks (TCN) is recommended, along with the integration of external features such as time-based traffic anomalies and customer profiles, to enhance model robustness, accuracy, and generalization.
Decision Support System for Inventory Prediction using Fuzzy Tsukamoto Method (Case Study: UMKM Bayou Indonesia) Galih Agil Febri Hidayatullah; Sri Mujiyono
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/sfyymk96

Abstract

Bayou Indonesia, an MSME engaged in acrylic product manufacturing, faces overproduction issues due to manual production planning, leading to stockpiling and wasted resources. This study aims to develop a decision support system using the Fuzzy Tsukamoto method to predict production quantities more accurately by analyzing historical data such as orders, shipments, and final stock. Data processing is performed with fuzzy logic to generate reliable production forecasts for the upcoming periods. The novelty of this research lies in the real-world integration of the Fuzzy Tsukamoto method within a CodeIgniter-based web application, which is directly implemented in the MSME environment, moving beyond the purely theoretical simulations of prior studies. The system significantly improves production planning accuracy, reducing manual errors (MAPE) from 21.5% to 8.7%, with an RMSE of 11.2 units. Furthermore, it helps decrease excess production discrepancies by up to 30% per month, raises prediction precision to 85%, and accelerates the decision-making process from two to three days to real-time. The resulting operational efficiency gains are estimated at 60–70%. These findings indicate that the system provides a practical solution for MSMEs to minimize overproduction risks, optimize resource usage, and enhance production planning through data-driven methods.
Underwater Single and Multiple Objects Detection Based on the Combination of YOLOv7-tiny and Visual Feature Enhancement Sari, Dewi Mutiara; Marta, Bayu Sandi; Dwito Armono, R. Haryo; Rizaldy Pratama, Alfan; Putra Pratama, Firmansyah
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: 10.35314/91b9qn06

Abstract

Breakwater construction in Indonesia frequently employs tetrapods to dissipate wave energy. However, the placement process remains manual, relying on divers to guide crane operators. This approach not only poses safety risks but also limits visibility due to underwater turbidity. While prior research has focused on underwater image enhancement, the integration of tetrapod object detection remains unexplored. This study proposes a combined method of underwater image enhancement and tetrapod object detection to support land-based operator visualization. Auto-level filtering and histogram equalization techniques were applied to enhance image clarity, followed by object detection using the YOLOv7-tiny model. Tetrapod models at a 1:20 scale were used for training and testing. The proposed system achieved a mean average precision (mAP) of 0.95. Evaluation was conducted across 12 scenarios, involving four lighting levels and two water conditions: clear and 45.8% turbidity. The object detection confidence scores were 0.80 without enhancement, 0.85 with histogram equalization, and 0.84 with auto-level filtering. Multiple object detection achieved an accuracy of 88.75%, outperforming previous approaches using YOLOv4-tiny. The results demonstrate the potential of integrating image enhancement and deep learning-based object detection for improving underwater operational safety and placement precision in breakwater construction.
Expert System in Analyzing Stress Levels in Factory Employees Using the Certainty Factor Method Dinafa, Aya Sofia; Rohman, Abdul
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/qc6ag389

Abstract

Factory employees are jobs that have high enough pressure, therefore they are prone to stress. Employees who experience stress have an impact on reducing productivity. This study aims to design and build to diagnose stress levels in factory employees with the Certainty Factor (CF) method. Data collection is done by means of a mental specialist and the distribution of questionnaires to factory employees. In this technological development, expert systems can be used to prevent employees from experiencing high work stress by identifying it early on so that advice can be given. This system is designed with the PHP programming language and MySQL database. The expert system with the Certainty Factor (CF) method has a fairly high level of accuracy, with a certainty level of 85% and can be a management tool in making decisions related to employee mental health.
Effectiveness of the Sampean Application in Measuring Administrative Management Performance in Cirebon City Government Siswanto, Febiola Inanta; Rocky Tanaamah, Andeka; Banunaek, Frids Edward
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: 10.35314/8rsax831

Abstract

SAMPEAN Cirebon is a service portal for managing the administrative needs of Civil Servants (ASN) in the Cirebon City Government. Since its launch, the application has faced several technical issues, mainly because it has never been evaluated from the perspective of end users. This research aims to assess end-user satisfaction, identify areas for improvement, and determine the critical factors influencing user satisfaction with the SAMPEAN Cirebon application. The research applies the End-User Computing Satisfaction (EUCS) method, which consists of five independent variables: content, format, accuracy, ease of use, and timeliness. Data was collected with a voluntary sampling technique, gathering 692 respondents. The data was analyzed using the SEM-PLS method with the SmartPLS application. The results show an R-square value of 0.828, indicating that four variables content, accuracy, ease of use, and timeliness significantly influence ASN satisfaction with the SAMPEAN Cirebon application. In contrast, the format variable yielded a T-statistic of 1.746 and a P-value of 0.081, failing to meet the significance threshold. The practical implications of this study underscore the necessity for the Cirebon City Regional Government to conduct regular evaluations involving direct end-user feedback and to enhance the format aspects of the SAMPEAN Cirebon application.

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