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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 189 Documents
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Analysis of the Performance Quality of the Information System and Information Technology of the Shopee Application Using Cobit 2019 Kevin Fransisco; Hendry
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 1 (2025): Maret
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/c7ne4c42

Abstract

This research analyzes the quality of information system and information technology performance in the Shopee application using the COBIT 2019 framework. This research uses quantitative methods by collecting Likert scale-based questionnaire data, which was distributed to 112 respondents from Satya Wacana Christian University students class of 2020-2023. The technical analysis includes validity tests, reliability tests, t-tests, and ANOVA, with the |aim of determining the rel| relationship between gender |and cl|ass v|ari|ables on user s|atisf|action. The rese|arch results show th|at aspects of responsiveness and empathy h|ave |a signific|ant influence on user s|atisf|action, with a value of t = 1.685 (men) and t = 1.698 (women), as well as a p-value > 0.05 which shows there is no signific|ant difference based on gender. The 2019 COBIT Evaluation shows weaknesses in IT risk management, and optimization of IT resources, as well as the need to improve data security and customer service systems, and optimization of IT infrastructure. This research contributes to understanding the application of COBIT 2019 in IT govern|ance in e-commerce and provides recommendations for improvements for Shopee in improving user experience. The limit|ation of this research is | that the s| sample is limited to one institution and a certain period, so the results cannot be widely generalized.
Implementation of the Profile Matching Method in the South Sumatra PON Basketball Player Selection Decision Support System Aditya tri wulandari tya; Parjito
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 1 (2025): Maret
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/0hs3hb58

Abstract

Basketball is a popular sport in Indonesia which is ranked third after badminton and football. Basketball is a platform for young people to channel their talents and develop playing skills, especially in South Sumatra Province. In selecting South Sumatra basketball players, an accurate and structured selection process is needed to get quality players. However, player selection is often still carried out by appointing players, which has the potential to cause inaccuracies in player selection. This research implements the Profile Matching method in a decision support system to select player selection based on predetermined criteria, such as physical and technical. The Profile Matching method works by comparing each candidate's profile with a predetermined ideal standard. The calculation is carried out by determining the gap value between the player criteria and the expected standards, then ranking is carried out to obtain accurate and transparent selection results. The research results show that the Profile Matching method is able to increase better accuracy in player selection compared to player appointment selection. In this way, the Profile Matching method helps management make more appropriate decisions and can be a good solution in improving the quality of the South Sumatra basketball team.
Decision Support System for Business Location Selection using the AHP Method Based on Android Hizkia Hendra Rianingsih; Widyastuti Andriyani
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 1 (2025): Maret
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/z5xfh608

Abstract

The selection of a strategic business location is a crucial factor in the success of an enterprise. However, the decision-making process for choosing a location often involves various complex criteria that require careful analysis. This study aims to develop an Android-based Decision Support System (DSS) to assist entrepreneurs in selecting an optimal business location using the Analytical Hierarchy Process (AHP) method. AHP is chosen for its ability to break down complex problems into a hierarchy and quantitatively evaluate each criterion. The system is designed to allow users to easily access and operate the DSS through mobile devices. The criteria used in the location selection process include accessibility, cost, demographics, competition, security, infrastructure, regulations, and growth potential. Each criterion is weighted using pairwise comparisons, enabling objective and comprehensive assessments. The Android-based implementation allows for flexibility, enabling users to make decisions efficiently anytime and anywhere. System testing results indicate that the application can provide accurate business location recommendations based on the desired criteria, and it features a user-friendly interface. This Android-based DSS is expected to be a practical solution for supporting business decision-making processes quickly and accurately.
Customer Data Management For Citynet Using Geolocation-Based Internet Broadband Registration Form Application Alfiano Aldo Pamungkas; Kustiyono
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 1 (2025): Maret
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/60hw1d67

Abstract

This study aims to address the inefficiencies in CityNet's customer data management by developing a geolocation-based registration form application. Currently, CityNet relies on Google Forms for data collection and WhatsApp for location sharing, leading to inaccuracies, inefficiencies, and delays in the installation process. The proposed system integrates geolocation to automatically capture customer locations, reducing input errors and streamlining data processing. This research follows the waterfall development model, encompassing needs analysis, system design, implementation, and usability testing involving CityNet administrators and customers. The results indicate an 80% reduction in input errors and a 30% improvement in operational efficiency. Additionally, the system seamlessly integrates with Google Spreadsheet, Telegram, and email, ensuring real-time data synchronisation and faster response times. While the application significantly enhances CityNet's operational workflow, challenges such as user adoption and dependency on internet connectivity remain. This study provides a scalable solution for broadband providers seeking efficient customer data management with location-based automation.
Sentiment Analysis of Lazada Marketplace User Ratings with Naïve Bayes and Support Vector Machine Methods Sugeng Setyabudi; Enny Aryanny
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 1 (2025): Maret
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/sww8cg21

Abstract

This research analyzes the sentiment of Lazada Marketplace users using Naïve Bayes and Support Vector Machine (SVM) methods. This sentiment analysis is important to understand customer perceptions, which can help Lazada in developing service improvement strategies and business policies. Data was obtained through web scraping, resulting in 5,261 comments divided into 80% training data and 20% test data. The text preprocessing process includes cleaning, case folding, stopword removal, tokenizing, and stemming to ensure the data is cleaner and more structured. The test results show that SVM performs better with 75% accuracy, 74% precision, 86% recall, and 79% F1-score, compared to Naïve Bayes which has 72% accuracy, 75% precision, 76% recall, and 76% F1-score on positive sentiment. The confusion matrix evaluation shows that SVM is more consistent in classifying positive, neutral, and negative sentiments. Word cloud visualization on negative sentiment revealed that the main customer complaints were related to the app, late delivery, and product mismatch. These findings can be used by Lazada to improve service quality by improving the technical aspects of the app, optimizing logistics, as well as improving quality control of products sold by the store to increase customer satisfaction and user loyalty.
Analysis Of Library Visitors' Interest Using Factor Analysis And Discriminant Analysis Hery Santono; Eko Sediyono; Hindriyanto Dwi Purnomo
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 1 (2025): Maret
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/g3vb2a79

Abstract

The relevance of libraries as learning centers, gathering places for the scientific community, and access points for resources not always available online underscores the importance of understanding the factors that influence library visitor interest. This study aims to analyze the factors impacting visitor interest using Factor Analysis and Discriminant Analysis. The key factors explored include service quality, comfort of facilities, quality of book collections, access to digital technology, and frequency of visits. Data was collected through surveys conducted with 500 library visitors across five different locations over a three-month period. Factor Analysis revealed that comfort factors and access to technology were the most significant variables influencing visitor interest, accounting for 65% of the variance in visitor behavior. Discriminant Analysis further classified visitors into high and low interest groups, showing that library facilities were the primary differentiator between these two groups. The study found that visitors with high interest were more likely to be influenced by the library's physical comfort and technology access, while those with low interest were less engaged with the library's services. This research provides valuable insights for library managers to enhance services, optimize library environments, and incorporate technological advancements to increase visitor engagement. It also contributes to the theoretical understanding of library management by identifying key factors that affect visitor interest, which can inform future strategies in the field. However, this study is limited by its cross-sectional nature, and the results may not be generalizable to other regions or visitor demographics. Future research could explore longitudinal data to assess how visitor preferences evolve over time.
Togaf Analysis in Bengkalis State Polytechnic Laboratory Information Systems Design Agustin, Wirta; Rahmaddeni; Rio, Unang; Suhada, Khairus
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 2 (2025): Juli
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/0hz5q194

Abstract

Laboratories in educational institutions have an important role in supporting learning and research. However, effective and efficient laboratory management is still a challenge, especially in recording inventory and managing consumables (BHP). The Bengkalis State Polytechnic Informatics Engineering Laboratory already has an application system, but there are still limitations in recording monthly BHP usage, borrowing facilities, and proposing equipment procurement. This research aims to design a blueprint for an integrated laboratory information system using The Open Group Architecture Framework (TOGAF) Architecture Development Method (ADM). This approach is applied to phase F: Migration Planning, which includes requirements analysis, business architecture design, information system architecture, as well as strategy and migration implementation. The results of this research produce a blueprint for a system information laboratory that includes application design, technology recommendations, and implementation stages that can be used as a guide in system development. This blueprint is expected to increase laboratory management efficiency by optimizing inventory recording, procurement planning and maintenance of laboratory services. In addition, the TOGAF ADM approach used can be adapted for laboratories in other educational settings that have similar needs.
Implementation of Agile and Waterfall Methods in a Web-Based Admission System for Streamlined Registration and Communication Wafiq Lana Pradana; Agung Wibowo
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 1 (2025): Maret
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/gj9qa035

Abstract

This research discusses the development of a web-based New Student Admission (PPDB) system using a hybrid approach of Agile and Waterfall. The Waterfall method is used for structured system planning and design, while Agile allows for iterations during development. The integration of these two methods ensures that the system is developed with good documentation and flexibility in testing and feature adjustments. This system aims to improve operational efficiency, data transparency, and ease of communication between prospective students and educational institutions. Based on the test results, the system is able to reduce data input errors by up to 30%, speed up the registration process by up to 50%, and increase user satisfaction by 85% based on surveys conducted. Additionally, communication features such as real-time notifications and registration status updates help to improve interaction between users and the school. With the combination of Agile and Waterfall, this system can adapt to the needs of educational institutions and ensure a more efficient and transparent student admission process.
Analysis of User Satisfaction on the Shopeepay Application by Using the Usability Method Fitriasari Fatinah
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 1 (2025): Maret
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/8z385v27

Abstract

This study aims to analyse the level of user satisfaction with the ShopeePay digital wallet application using the Usability method. This method has five variables to evaluate the level of user satisfaction, namely Learnability, Efficiency, Memorability, Errors, and Satisfaction. Data was collected through a questionnaire of 262 data with case study specifications on Sriwijaya University students. The reason for the research is because of the population and diversity of Sriwijaya University students from various faculties and regions who study at Sriwijaya University. The results of the analysis show that the usability method applied contributes significantly to user satisfaction. The variables that have been set show positive and negative influences from users. The Shopee Pay application analysed aims to measure the level of user satisfaction, by understanding the factors that influence customer satisfaction to maintain the quality of the ShopeePay digital wallet (e-wallet) service.  
Comparison of Effectiveness of Machine Learning Methods in Predicting Chemical Compound Toxicity Enhance Pharmaceutical Product Safety Dufan Yuwana; Pulung Andono; Hendy Kurniawan
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 1 (2025): Maret
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/emkzcz13

Abstract

This study compares the effectiveness of machine learning methods in predicting the toxicity of chemical compounds using a dataset containing 5,000 samples with 14 key features. The dataset underwent preprocessing, including normalization, missing data handling, and oversampling to address data imbalance. The models used include Decision Tree, Random Forest, Extra Trees, and Gradient Boosting, validated using k-fold cross-validation. Evaluation based on accuracy, precision, recall, and F1-score showed that Gradient Boosting achieved the best performance with 92.3% accuracy, though it still faces challenges such as overfitting and interpretability limitations. Compared to in vitro and in vivo methods, machine learning is more efficient but still requires further experimental validation. This study recommends optimizing models through ensemble learning and explainable AI to improve prediction reliability.

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