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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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Waste Level Monitoring System Based on IoT (Internet of Things) Using LoRa (Long-Range) Technology Rinto Hadi; Agus Wibowo; Dana Indra Sensue
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 11 No. 3 (2026): August (Inpress)
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/57dsmj15

Abstract

The increasing need for efficient waste management encourages the development of monitoring systems that can provide timely information on the condition of waste bins. This study proposes an Internet of Things (IoT)-based waste level monitoring prototype that employs LoRa communication for wireless data transmission. The system was developed using Arduino Uno, Arduino Mega, LoRa modules, Raspberry Pi, and an ultrasonic sensor to detect the waste level and transmit the collected data to a monitoring dashboard. A quantitative experimental method was applied, supported by Quality of Service (QoS) analysis, to evaluate LoRa network performance. The testing was conducted in a non-line-of-sight (NLOS) environment using a 433 MHz LoRa frequency. The experiment involved 30 testing scenarios, consisting of five transmission distances, namely 20 m, 40 m, 60 m, 80 m, and 100 m, combined with six spreading factor settings from SF7 to SF12. The evaluation focused on packet loss, throughput, and time on air. The results indicate that transmission performance was influenced by environmental obstruction and spreading factor configuration. Packet loss was mainly observed at 80 m, with the highest loss reaching 9% at SF7, while higher spreading factor values tended to reduce packet loss. In terms of throughput, increasing the spreading factor decreased the transmission rate, whereas the time on air became longer. These findings show that LoRa communication can be implemented for waste bin level monitoring, although signal barriers in NLOS conditions may affect data transmission quality.
A Business Intelligence Approach to Visualizing and Mapping Families at Risk of Stunting Using Microsoft Power BI: Evidence from Bengkulu Ahmad Fadhila; Yudi Setiawan; Niska Ramadani
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 11 No. 3 (2026): August (Inpress)
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/t5xvwd61

Abstract

Stunting is a chronic nutritional problem that affects children's physical growth and cognitive development and remains a national priority in Indonesia. Bengkulu Province continues to face challenges in managing Families at Risk of Stunting (KRS) data, which are complex and difficult to analyze efficiently using conventional reporting methods. This study aims to design an interactive dashboard for visualizing and mapping Families at Risk of Stunting (KRS) using Microsoft Power BI to support monitoring, evaluation, and evidence-based decision-making at the Bengkulu Provincial BKKBN. The study adopts the Business Intelligence Roadmap, consisting of the justification, planning, business analysis, design, and construction stages. Official secondary KRS data for the 2022–2025 period were preprocessed in Python through data integration, cleaning, validation, and transformation, followed by Exploratory Data Analysis (EDA) to identify data characteristics and regional patterns before dashboard development. The results indicate that the number of families at risk of stunting reached 302,667, with an average risk percentage of 23.39%. Trend analysis revealed a decline in 2024 followed by an increase in 2025, while Bengkulu City, North Bengkulu, and Rejang Lebong consistently recorded relatively higher numbers of families at risk of stunting. The developed dashboard provides interactive visualizations that improve data analysis and support evidence-based decision-making for accelerating stunting reduction in Bengkulu Province.
Expert System for Detecting Academic Burnout Levels among University Students Using the Certainty Factor Method Zahrotul Khoiriyah; Arif Setiawan; Muhammad Arifin
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 11 No. 3 (2026): August (Inpress)
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/mdwyhb15

Abstract

Academic burnout is a condition of physical, emotional, and mental exhaustion resulting from prolonged academic demands and may negatively affect students' learning and well-being. This study aimed to develop a web-based expert system to support the preliminary identification of academic burnout among university students using the Certainty Factor method. The system knowledge was constructed through a literature review and a structured knowledge acquisition process involving a psychology expert before being represented in the knowledge base. The system was developed using the Waterfall model with PHP, the CodeIgniter framework, and MySQL. Functional evaluation using black-box testing showed that all system features operated as expected. In addition, User Acceptance Testing (UAT) involving 102 students of Universitas Muria Kudus achieved an overall acceptance score of 83.92%, indicating a Very Good level of user acceptance. The developed system was able to classify consultation results into mild, moderate, and severe academic burnout categories based on the implemented Certainty Factor inference process. Therefore, the proposed expert system may serve as a supporting tool for the preliminary identification of academic burnout. Further validation using standardized psychological instruments or professional psychological assessments is recommended in future studies.
Application of RCA and AHP to Identify Functional Testing Failures in Loan Origination Systems by QA Engineers Made Chandra Wahyudi; I Made Candiasa; Luh Joni Erawati Dewi
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 11 No. 3 (2026): August (Inpress)
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/4km35n25

Abstract

Recurring functional testing failures in DJOIN’s digital banking systems during 2023–2025 created operational risks, particularly in the Balance Validation Dashboard and financial transaction modules. This study aimed to identify the principal causes of recurring failures and prioritize appropriate improvement solutions by integrating Root Cause Analysis (RCA) and the Analytical Hierarchy Process (AHP). The analysis used 1,759 production bug tickets, comprising 1,724 tickets from the Coopmax system and 35 tickets from the KOCEK loan origination system. RCA was conducted using a fishbone diagram based on the 6M framework and 5 Whys analysis, supported by bug-tracking records, system logs, testing documentation, and stakeholder interviews. The analysis identified 12 root causes. The three highest-severity causes were hardcoded product-type assumptions in the Balance Validation Dashboard query, with a severity score of 4.67; the absence of a regression test suite after hotfix implementation, with a score of 4.33; and distributed system logs that complicated failure tracing, with a score of 4.33. AHP evaluation assigned the highest weight to solution effectiveness at 42.44%, followed by business impact at 30.65%, implementation cost at 13.07%, implementation time at 8.36%, and technical complexity at 5.48%. The comparison matrix achieved a consistency ratio of 0.024, indicating acceptable judgment consistency. Among 12 alternatives, automated testing tools ranked first with a priority score of 0.1872, followed by test-driven development at 0.1412 and CI/CD implementation at 0.1372. These findings provide an evidence-based prioritization of proposed corrective and preventive actions; however, their actual effectiveness requires post-implementation evaluation.
The Relationship Between Moodle-Based Learning Management System Usage and Employee Knowledge Retention in the Individual Development Program at BPJS Ketenagakerjaan Muhamad Nursyahal Zein; Rian Andrian
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 11 No. 3 (2026): August (Inpress)
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/1mgy0n50

Abstract

This study examines the relationship between Moodle-based Learning Management System (LMS) usage within the Individual Development Program (IDP) and employee knowledge retention at BPJS Ketenagakerjaan. A cross-sectional survey was distributed to IDP participants nationwide using a purposive, voluntary-response technique; after removing 73 duplicate submissions, 417 valid responses were analyzed (minimum required by the Slovin formula: 372). The instrument's 30 retained items (15 LMS-usage, 15 knowledge-retention) were all valid (r = 0.715–0.886 > r-table = 0.096) and reliable (Cronbach's Alpha 0.957–0.979). Regression residuals departed from normality, homoscedasticity, and strict linearity, so heteroscedasticity-robust (HC3) errors were used to confirm inference. The model (Y = 3.113 + 0.901X) showed a significant positive association between LMS usage and knowledge retention (robust t = 29.643, p < .001; F = 1008.233, p < .001), with usage associated with 70.84% of the variance in retention (R² = 0.7084). Greater LMS engagement is linked to stronger self-reported retention within the IDP, informing digital training design at BPJS Ketenagakerjaan. Given the cross-sectional, single-source design, findings should be read as associations rather than causal effects.
Utilization of the Internet of Things for Improving Water Quality Management and Waste Efficiency in the Tofu Industry Reinaldi Teguh Setyawan; Muhammad Asep Subandri
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 9 No. 2 (2024): November
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/khhtng77

Abstract

In Bengkalis, the challenges faced by the tofu industry are related to the use of mineral-rich, yellow-colored peat water, which often disrupts the quality and consistency of the products. To address this, this research combines Internet of Things (IoT) technology with Total Dissolved Solids (TDS) and pH sensors, integrating real-time monitoring and control of water quality and waste processing efficiency. The implementation of IoT enables automatic measurement and management of water and waste conditions, adaptation to fluctuations, and enhanced waste management effectiveness. Initial results show an improvement in water quality with a 20% reduction in TDS and stabilization of pH from 6.5 to 7.4, as well as an increase in waste processing efficiency with a 30% reduction in the volume of waste disposed of. The application of this technology not only supports environmental and economic sustainability in Bengkalis but also offers significant operational cost savings and better compliance with environmental regulations. This finding is expected to encourage the adoption of similar technologies in other tofu industries in areas with similar water conditions, promoting greener and more sustainable production practices.
Implementation of Web-Based Administrative Payment Information System Using Laravel 10 Framework Tatik Wulandari; Iwan Setiawan Wibisono
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: 10.35314/02mmk443

Abstract

The development of information technology drives the need for an efficient data processing system, especially in the education sector. Madrasah Tsanawiyah NU 14 Kaligading manages financial administration manually, which causes various obstacles such as data inaccuracy and slow processes. This study aims to develop a web-based information system using the Laravel 10 framework to manage tuition payments in a more structured manner. The waterfall software development method encompasses needs analysis, system design, coding, testing, and maintenance. This system is designed to facilitate the management of school financial data with main features including user data input, payments, and student arrears. The implementation results show that the system can improve the efficiency and accuracy of financial management, accelerate the administration process, and facilitate real-time data access. In addition, this system also supports long-term data archiving, improves the effectiveness of administrative staff, and minimises errors in recording. This implementation is expected to help schools utilize modern technology to improve the quality of management and administrative services.
Expert System for Assessing Anxiety Levels in Toxic Relationships Using the Case-Based Reasoning Method Based On The Web: Implementation of the Case-Based Reasoning Method Intan Putri Ariska; Filmada Ocky Saputra
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/th3pr838

Abstract

Experiences in toxic relationships often trigger significant emotional stress and impact mental health disorders. This study aims to develop a web-based expert system using the Case-Based Reasoning (CBR) method to evaluate anxiety levels caused by toxic relationships. The system is designed to provide more specific treatment by accurately analysing patterns of disorders resulting from toxic relationships. The system's development follows the waterfall model. System testing was conducted using the black-box testing method, demonstrating that the system performs as expected. The results of manual calculations were compared with the system outputs and showed consistency. Testing using 300 cases—80% as training data (240 cases) and 20% as testing data (60 cases)—achieved an accuracy of 91.67%. The recommendations provided include initial steps to manage anxiety. This indicates that the CBR method effectively distinguishes anxiety levels based on similar cases. These findings contribute to clinical psychology by providing a technological tool for quickly identifying anxiety levels. For practitioners, this system can serve as an initial reference before further treatment, while for users, it offers easy access to understanding their mental condition. This system is expected to be an innovative solution supporting accessible mental health care.
Application of Technology Artificial Intelligence in Claim Settlement at PT. Asuransi Allianz Life Syariah Medan Branch Fachrunisa Winda Marpaung; Nuri Aslami; Ahmad muhaisin B. Syarbaini
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: 10.35314/7ygp5d67

Abstract

This research aims to analyse the effectiveness of implementing artificial intelligence (AI) technology in accelerating the settlement process of Sharia insurance claims at PT Asuransi Allianz Life Syariah Medan Branch. The main focus of this research is to measure the impact of AI technology on customer satisfaction and the company's performance in handling Sharia insurance claims. Using qualitative research methods, data were collected through in-depth interviews with company representatives and analysis of the company's internal documents. The research results indicate that AI technology has significantly contributed to improving operational efficiency, speed, and accuracy in claim resolution. The implementation of AI enables more effective process automation, faster decision-making, and more accurate identification of potential fraud. Furthermore, the use of AI also supports the enhancement of compliance with Sharia principles, ensuring that all processes and decisions are in line with Sharia law. This research provides valuable insights for insurance companies looking to implement AI technology in their operations, particularly within the scope of Sharia insurance.
Examining the Impact of Software Testing Practices on Software Quality in Batam Software Houses Suwarno; Syaeful Anas Aklani; Nellsen Purwandi
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: 10.35314/5bmdas03

Abstract

This research aimed to investigate the impact of software testing practices on software quality in software companies in Batam, Indonesia. It focused on identifying key factors such as software testing knowledge, software testing approach, and software testing complexity and analysing their correlation with software quality. Data was collected from 48 respondents, including project managers, developers, and QA teams, using a questionnaire distributed via Google Forms and convenience sampling. The questionnaire was designed based on related studies to ensure relevance to the respondents’ roles. Regression analysis identified significant impacts of testing complexity, approach (p = 0.000), and knowledge (p = 0.003) on software quality. The F-test result (F = 32.622) confirmed a strong relationship between testing practices and software quality. These findings emphasise the critical role of robust testing strategies in enhancing software quality. For companies in Batam, the study offers actionable insights, including adopting structured frameworks and preferable action on testing approaches. Implementing these strategies can help organisations improve software outcomes and maintain competitiveness in the evolving software development landscape.

Page 36 of 55 | Total Record : 543

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