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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 543 Documents
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Enterprise Architecture for Enhancing Self-Service Offerings in Digital Channels Within the Telecommunication Industry Muhamad Rendi Novrian; Erick Dazki
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 10 No. 1 (2025): March
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/49hv4a67

Abstract

This research aims to analyse the influence of Enterprise Architecture (EA) on Digital Self-care Services (DSS) at PT Wahana Sukses Makmur. The background of this research is based on the company's need to improve the efficiency of digital services through better system integration. However, there are still gaps in the optimal implementation of EA to effectively support DSS. Therefore, this study examines the extent to which EA contributes to improving the quality of the company's digital services. This research uses a quantitative method with a simple linear regression approach. The population in this study were customers of PT Wahana Sukses Makmur, with a sample size of 100 respondents selected through appropriate sampling techniques. Data was collected through a questionnaire that measured customer perceptions of EA implementation and DSS quality. The results showed that EA has a significant influence on DSS, with an F test value of 104.070 and a significance level of 0.000 (p < 0.05). In addition, the t-test results show a regression coefficient of 0.875, which indicates that each one-unit increase in EA implementation will increase the quality of DSS by 0.875 units. Theoretically, this study confirms the important role of EA in supporting DSS development through improved system integration and optimisation of digital processes. The practical implications of this research suggest PT Wahana Sukses Makmur adopt a more structured enterprise architecture to improve operational efficiency, accelerate digital services, and create a more responsive and user-friendly customer experience.
The Comparison Between The Apriori Algorithm And The FP-Growth Algorithm In Determining Frequent Pattern Farid Syah Zikri; Muhammad Ikhsan
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 10 No. 2 (2025): July
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/s1yanj03

Abstract

This study aims to compare the efficiency and accuracy of the Apriori and FP-Growth algorithms in determining frequent patterns from sales transaction data. In addition to evaluating execution time and the quality of the generated association rules, the study also examines the algorithm's advantages on small to large-scale datasets. The data used were collected from G Coffee’s sales transactions during the period from September 1 to November 30, 2024. After undergoing preprocessing stages, both algorithms were tested using three dataset variations to identify common association patterns, such as the relationship between “Mineral 660ml” and “Kopi Susu Aren,” along with other product combinations with high confidence and significant lift values. The results show that FP-Growth had a faster execution time (0.3008) compared to Apriori (0.5833), without compromising the accuracy of the results. Although both algorithms generated identical association rules, FP-Growth was superior in computational efficiency due to its ability to avoid explicit candidate itemset generation. These findings offer strategic benefits for companies, particularly in enhancing product promotion through bundling, cross-selling, and product grouping based on consumer purchasing patterns. Results, a hybrid approach is recommended to combine the processing speed of FP growth with Apriori’s flexible parameter adjustment, enabling more optimal analysis of purchasing patterns in large and complex datasets.
Comparison of User Experience and Satisfaction in Digital Payment Applications Using the PSSUQ and EUCS Methods Anak Agung Ayu Ratna Wulandari; K Suar Wibawa; N W Emmy Rosiana Dewi
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 10 No. 2 (2025): July
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/t53mb880

Abstract

The rapid adoption of digital wallets such as DANA and GoPay has not yet been matched by comprehensive evaluations of user experience and satisfaction. National survey data indicates that GoPay is currently Indonesia's most widely used digital payment application. This study aims to compare the two most popular digital payment apps, DANA and GoPay, using the Post-Study System Usability Questionnaire (PSSUQ) and End-User Computing Satisfaction (EUCS) methods. A total of 136 respondents (68 users for each application), aged 18–40 and residing in Bali Province, were surveyed. Additionally, 2,366 user reviews from the Google Play Store were analysed using the Random Forest algorithm for sentiment classification. The results reveal that GoPay outperforms DANA in terms of usability (PSSUQ score of 2.04) and user satisfaction (EUCS average score of 4.34), compared to DANA (2.32 and 3.33, respectively). Information quality emerged as the most influential factor affecting user satisfaction, with Spearman correlation scores of 0.949 for DANA and 0.948 for GoPay. This study offers practical insights for developers and users to better understand and improve the digital payment user experience. However, the research is limited by the sample size of user reviews and the regional scope of respondents.
Public Facility Loan System Based On Laravel To Improve Transparency In Banjaranyar Village Arfan Maulana Adam; Isa Faqihuddin Hanif
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 10 No. 2 (2025): July
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/qgp5hg04

Abstract

Banjaranyar Village faces challenges in managing public facilities such as village halls and sports fields, which are still handled manually through notebooks or verbal communication. This manual approach is prone to recording errors and lacks transparency, making it difficult for residents to access real-time facility availability and hindering administrative efficiency. This study aims to develop a web-based facility reservation system using the Laravel framework to improve transparency and management efficiency. The research adopts a combination of case studies, surveys, and observations. The survey was conducted with 25 participants, consisting of villagers and village officials selected based on their active involvement in community activities, during October to November 2024. The system enables users to check facility availability, submit reservation requests, and manage booking data in a structured manner using a MySQL database. Testing results indicate the system performs well and improves access to information for the community. In the future, the system can be enhanced with Artificial Intelligence features and mobile applications to increase service reach and operational efficiency.
Evaluation of Information Technology Governance Maturity Using COBIT 2019: Study of a Telecommunication Company Muhamad Rendi Novrian; Erick Dazki
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 10 No. 2 (2025): July
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/r54e5n79

Abstract

The development of information technology drives the need for effective IT governance, especially in the telecommunications sector, which faces challenges such as 5G, Iot, and strict regulations. This research aims to evaluate the maturity level of IT governance at PT Wahana Sukses Makmur and identify gaps against the COBIT 2019 standard to support business strategy. Quantitative methods were used through structured questionnaires to 15 respondents selected by purposive sampling, as well as internal document analysis. The data was analysed using the COBIT 2019 toolkit and triangulated to increase validity. The results show that IT governance maturity is at levels 1 and 2, far from the level 4 target in domains APO13, APO07, and DSS01. Recommendations include the formulation of risk-based information security policies, the development of an IT HR competency roadmap based on organisational needs, and continuous digitisation of operational processes. This research faced limitations in the number of respondents and access to certain internal documents, which affected the depth of analysis. The contribution of the research lies in the holistic evaluative approach based on COBIT 2019 in the real context of the Indonesian telecommunications sector, as well as practical implications in strategic decision-making related to IT governance.
Design and Development of Customer Relationship Management in a Construction Company Ni Kadek Puja Ari Pertiwi; Ni Putu Sutramiani; K Suar Wibawa
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 10 No. 2 (2025): July
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/qhkc3j28

Abstract

CV. Puspa Karya is a construction company that faces challenges in customer management and marketing activities. This study aims to design and implement a Customer Relationship Management (CRM) system using the Flectra framework to support marketing, sales, and customer‐service processes more effectively, with the specific objectives of improving both operational efficiency and customer satisfaction. The research employs the Accelerated SAP (ASAP) methodology, chosen for its systematic, result‐oriented approach that is well suited to projects requiring structured planning and rapid execution. ASAP was applied in five tailored phases: Project Preparation, Business Blueprint, Realisation, Final Preparation, and Go-Live & Support. The developed system was validated through User Acceptance Testing (UAT), achieving a final score of 167. User satisfaction was further assessed via the Post-Study System Usability Questionnaire (PSSUQ), yielding an overall mean score of 1.60 on a 1–7 scale (where lower scores indicate higher satisfaction): System Usefulness 1.55, Information Quality 1.66, and Interface Quality 1.61. These results exceed typical industry benchmarks for comparable systems. The implications include qualitative enhancements in customer‐service quality and quantitative gains in process speed and prospect‐tracking accuracy, leading to heightened operational professionalism, increased client trust, and stronger potential for customer loyalty.
Application of Machine Learning and Deep Learning to Predict Financial Product Subscriptions Based on Customer Features Harditya Prayoga; De Rosal Ignatus Moses Setiadi; Hendy Kurniawan
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 10 No. 2 (2025): July
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/cyvzwk14

Abstract

The financial industry faces challenges in predicting consumer behaviour, especially in forecasting decisions related to subscribing to financial products like term deposits. This study applies machine learning and deep learning to predict subscriptions based on demographic and behavioural data from the Bank Marketing dataset from the UCI Machine Learning Repository. The models tested include Support Vector Machine (SVM), Logistic Regression (LR), Random Forest (RF), Bidirectional Gated Recurrent Unit (BiGRU), and Bidirectional Long Short-Term Memory (BiLSTM). Model performance is evaluated using metrics such as accuracy, precision, recall, F1-score, and confusion matrix. Results show that BiGRU achieves the highest accuracy of 92.52%, outperforming other models, with SVM and BiLSTM also showing strong performance. However, all models still face limitations in detecting subscribing customers, as evidenced by the high false negative rate. These findings highlight the potential of machine learning and deep learning to support data-driven decision-making in financial marketing, despite limitations such as the use of a single data source and the lack of consideration for external factors affecting customer decisions.
Applying KNN, NBC, and C4.5 Algorithms to Identify Eligibility for Non-Cash Food Aid Rizki Pratama Putra Agri; Inggih Permana Permana; Febi Nur Salisah; Muhammad Jazman; Muhammad Afdal
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 10 No. 2 (2025): July
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/89xvxf70

Abstract

The Indonesian government has implemented the Non-Cash Food Assistance (BPNT) program as an effort to improve people's welfare. However, in its implementation, there are still obstacles in the process of determining the right beneficiaries. Determining the right BPNT recipients is important to ensure that the assistance is received by people who really need it and to prevent budget misuse. This research aims to help the government to easily process data using three classification algorithms, namely K-Nearest Neighbour (K-NN), Naïve Bayes Classifier (NBC), and C4.5 in classifying BPNT recipient data in Air Molek Village, Indragiri Hulu Regency. K-NN, NBC, and C4.5 were chosen because they represent different approaches: K-NN is distance-based, NBC is probability-based, and C4.5 uses decision trees. The stages of the methodology used include data collection, data preprocessing, data splitting (Hold-Out), data balancing and model testing. The results showed that the K-NN algorithm got an accuracy of 70.45%, precision 68.34% recall 72.42%, NBC got an accuracy of 60.58%, precision 58.21%, recall 85.42%, and C 4.5 with an accuracy of 62.56%, precision 59.17%, recall 63.33%. The results of this study can help the government in developing a more objective and data-based decision support system for determining BPNT recipients. The limitation of this research is the use of data that is limited to only one of the data sources.
Network Intrusion Detection System Using Convolutional Neural Network and Random Forest Classifiers Viky Luffiandi Rismawan; Elkaf Rahmawan Pramudya
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 10 No. 2 (2025): July
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/rxd38a11

Abstract

Network Intrusion Detection Systems (NIDS) play a crucial role in protecting networks from various forms of cyberattacks. However, conventional signature-based methods often fail to detect new or unknown threats and are prone to generating high false positive rates. This study proposes a hybrid approach combining Convolutional Neural Network (CNN) and Random Forest (RF) to develop a more adaptive and accurate intrusion detection system. CNN is employed to extract features from raw network traffic data, while RF serves as the primary classifier. The UNSW-NB15 dataset is used for training and testing the model. Evaluation results show that the hybrid model achieves an accuracy of 93.0%, average precision of 94%, recall of 90%, F1-score of 92%, and a false positive rate of 19.2%. These results demonstrate that the CNN–RF hybrid approach effectively improves intrusion detection performance and offers a promising solution for modern network security systems
Implementation of Interior Design Project Monitoring Application using Appsheet Achmad Galih Prasetyo; Yusnia Budiarti
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 10 No. 2 (2025): July
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/hfmd6y81

Abstract

To achieve project success, careful and continuous monitoring of progress, resources, and potential risks is essential in this context. A real-time application-based project monitoring system has been developed and implemented. This system is designed to provide comprehensive project visibility, making it easier for staff to monitor task progress, resource utilization, and proactively identify potential problems. With an intuitive, responsive, and communicative application interface, it makes performance more efficient between office staff and field teams. The results of this study prove that this application system is a very valuable tool for ensuring that projects are completed on schedule and within budget at PT. Generasi General Contractor. The project monitoring application with the waterfall method is a very classic method and its main characteristic is a linear and structured workflow. Where each stage must be completed before moving on to the next stage without the opportunity to return to the previous stage. This method is very suitable to be developed into a project monitoring application. And the results of usability testing using the single ease question (SEQ) method were tested with 10 questions selected based on experience in using the application. The results of the Usability testing from each staff showed a positive response with an average SEQ score of 5.31. Proving that the project monitoring application helps in reducing the problems that exist at PT. Generasi General Contractor.

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