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Agus Tedyyana
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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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Comparison of User Experience and Satisfaction in Digital Payment Applications Using the PSSUQ and EUCS Methods Wulandari, Anak Agung Ayu Ratna; Wibawa, K Suar; Rosiana Dewi, N W Emmy
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
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.
Design and Development of Customer Relationship Management in a Construction Company Pertiwi, Ni Kadek Puja Ari; Sutramiani, Ni Putu; Wibawa, K Suar
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 Prayoga, Harditya; Ignatus Moses Setiadi, De Rosal; Hendy Kurniawan
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; Permana, Inggih Permana; Salisah, Febi Nur; Jazman , Muhammad; Afdal, Muhammad
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; Pramudya, Elkaf Rahmawan
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
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.
Optimization of Biobert Model for Medical Entity Recognition Through Bilstm and CNN-Char Integration Salam, Abu; Prinantyo, Gilang Djati
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/bypwas91

Abstract

Biomedical Named Entity Recognition (NER) is essential for extracting structured information from medical texts. However, existing models like BioBERT face challenges when dealing with complex biomedical entities, particularly those with intricate morphological structures. This research enhances the BioBERT model by integrating BiLSTM and character-level CNN (CNN-Char), aiming to improve the recognition of Chemical and Disease entities. The proposed models were trained and evaluated on the BC5CDR dataset sourced from the official BioCreative V CDR Corpus. The modified model achieved an F1-score of 0.8678, indicating a significant improvement compared to the standard BioBERT model, which scored 0.8597. This increase is primarily observed in the recognition of complex entity structures, particularly those requiring character-level representation. Despite this improvement, the model is limited to Chemical and Disease entities and may not generalise to other biomedical categories. Future work should focus on expanding the entity types and exploring other model architectures, such as SciBERT or BioALBERT, to further enhance performance
Design and Construction of Employee Recruitment System Application using Profile Matching Method Mahendra, M. Azmi; Firmansyah, Maulana; Triyono, Gandung
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/xvzgjq78

Abstract

The employee recruitment process is one of the important aspects of human resource management, which ensures a match between company needs and available candidates. This research aims to design an E-Recruitment system based on Profile Matching to improve efficiency and accuracy in the employee selection process at PT XYZ. The research methods used include literature study, observation, and interviews with the HRD team. System development follows the SDLC waterfall model, which includes planning, analysis, design, implementation, and testing stages. In this case study, we use data samples from 5 applicants. For the criteria used, there are 3 criteria, namely administration, interview results, and skills/expertise. The results showed that the developed system was able to automate the selection process, reduce administrative burden, and increase objectivity in candidate selection. In conclusion, the implementation of Profile Matching-based E-Recruitment can optimise the recruitment process, but still needs to be combined with other selection methods to get a more comprehensive picture of candidates.
Operational Evaluation of the Document and Archive Management Application at Disdukcapil Salatiga using the EUCS Method Florensia, Florensia Fransisca; Samuel Papilaya, Frederik
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/w3yzfr51

Abstract

Efficient population administration services require information systems that effectively support staff performance. This study aims to evaluate user satisfaction with the internal application used by the Salatiga Civil Registry Office (Disdukcapil) using the End User Computing Satisfaction (EUCS) method. Data were collected through questionnaires distributed to 10 respondents from two different job functions (service counter and archive), and analysed using descriptive statistics and the Mann-Whitney test. The results show that user satisfaction scores were generally high (ranging from 3.9 to 4.3), with no statistically significant differences in perceptions based on job function or duration of system use (p > 0.05). This suggests that the application is widely accepted among users. However, limitations such as a small sample size and lack of personalised features may affect the generalizability of the findings. The study recommends improving interface design and increasing system flexibility to better align with operational needs. Future research should involve a larger number of respondents and consider evaluating additional technical aspects, such as data security and system integration.

Page 11 of 27 | Total Record : 269

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