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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 189 Documents
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Development of Android-Based Package Sorting Application Based on Distance Dionisius Arya; Ali Romli
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/wj72r311

Abstract

In the operational logistics of goods delivery, the effectiveness of couriers in organizing and managing packages plays a crucial role in optimizing delivery routes. The objective of developing this Android-based package sorting application is to reduce errors in the sorting process before packages are placed into storage bags. With the help of this application, couriers can prioritize the farthest packages for loading into the storage bags first, while stacking the nearest packages on top. The methodology employed involves scanning package receipts using barcodes and calculating distances based on the coordinates of the courier and the recipient using the Haversine formula. The application was tested using black-box techniques, ensuring that each feature functions as expected. Additionally, testing was conducted with five couriers and five admin staff from the delivery company by providing a questionnaire containing questions about the developed application. The number of errors before and after using the application was used to determine the success of error reduction in the package sorting process. The results from the questionnaire indicate a 96.88% reduction in sorting errors, signifying that the developed application effectively lowered the error rate during the package sorting process. This reduction in errors leads to a faster sorting process, providing benefits such as decreasing delivery delays, which significantly enhances customer satisfaction and improves the quality of the delivery company.
Forecasting Throughput Capacity on 5Ghz Wireless Radio Network Using Linear Regression Method Muhammad Rizky Pratama; Armansyah Armansyah
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/zj7aj967

Abstract

In an internet network, internet service providers must ensure the quality of the devices used is in good condition. One of the devices used is a 5GHz wireless radio where the stability of the fluctuating throughput capacity affects the quality of the device as a network transmission. This research uses machine learning with a simple linear regression model to predict the final throughput capacity based on the initial throughput and optimize it in the future. The regression model is used because it has a good accuracy level in forecasting. The data used is time series throughput data from the Ubnt Litebeam 5AC Gen.2 5GHz wireless radio device for the period of January-July 2024, using data split technique, data from January-June is used as training data and data from July as test data. The forecasting results obtained indicate the model's error rate measured using Mean Square Error (MSE) of 184,682 and Root Mean Squared Error (RMSE) of 13,589. From the forecasting results obtained, it can be used as a reference to evaluate the feasibility of wireless radio devices used by internet service provider for the future.
Inclusive Android-Based Solution: E-Book Reader Application with Text-To-Speech for Empowering People with Disabilities Muhammad Fathan Ramadhan; Suhirman
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: 10.35314/7k0sjc95

Abstract

One of the growing innovations is an e-book reader application equipped with a text-to-speech (TTS) feature. This research aims to design and develop an e-book reader application that can convert text into speech. The application is designed using the Agile software development method, which allows for iterations and continuous improvements based on user feedback. The main features of this application include the ability to adjust the speed and type of voice, as well as support for various e-book formats such as ePub, PDF, and TXT. The TTS implementation leverages available APIs, enabling high-quality and natural text-to-speech conversion. The evaluation of this application shows that users feel supported by the TTS feature, and the method used is quantitative. Testing results and feedback from early users indicate that this application not only improves accessibility but also provides a more flexible and comfortable reading experience. Therefore, this text-to-speech e-book reader application is expected to become an effective solution in supporting literacy and accessibility for all groups.
Disasterwatch: Android-Based Implementation of Yogyakarta Natural Disaster Monitoring Prediction Musthafa Anggoro; Suhirman
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: 10.35314/70vtet38

Abstract

The increasing threat of natural disasters in Yogyakarta, Indonesia, calls for technological solutions to predict and monitor disaster events more accurately. The development of the DisasterWatch application aims to provide a reliable disaster prediction tool, using machine learning and data mining-based predictive modeling methods. The app utilizes various machine learning algorithms to analyze historical disaster data as well as related risk factors, such as weather, seismic activity and soil conditions. Preliminary results show that this prediction system can improve the accuracy of early warnings, but further development is needed to ensure its accessibility and reliability for the community. In addition, to ensure its accessibility and reliability for the wider community, especially in disaster-prone areas. Collaboration with BMKG, and local communities is being sought to ensure this application can be practically implemented in the field
Mobile Health Monitoring Application as an Effort to Detect Stunting in Early Childhood Based on Android Ridwan Bagus; Ali Romli
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: 10.35314/6m2tse18

Abstract

Stunting, as a chronic nutritional problem that inhibits optimal child growth, has a significant impact on Indonesia's demographic bonus potential. In Indonesia, the prevalence of stunting reached 24.4% in 2021, with long-term impacts including cognitive decline, low productivity, and increased risk of chronic diseases. Health Monitoring application for the detection and prevention of stunting in early childhood. Using the waterfall method, this research produced an application with seven main pages that allow comprehensive monitoring of child growth. Functionality testing showed a 95% success rate in implementing critical features, including navigation, authentication, and child data management. Feedback from 50 early adopters showed an 85% satisfaction rate and a 40% increase in the frequency of child growth monitoring. Key challenges included cross-platform data integration and performance optimization on low-specification devices, which were addressed through the development of a modular architecture and code optimization. The app has the potential to increase early detection of growth problems by 30%, enabling timely interventions to improve children's long-term health outcomes. Implementation simulations show a potential reduction in stunting prevalence of 5% within 3 years if widely used. Although limited to user interface development, this research lays the foundation for further development, including the integration of advanced data analysis and nutrition improvement features, which are projected to increase the effectiveness of stunting detection and intervention by up to 50%.
Analysis of Path Loss In 802.11ac Data Communication at 5.8 Ghz Frequency in Padang City TEDDY YULISWAR; Ikhwana Elfitri; Onno W purbo
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: 10.35314/63fn5597

Abstract

This research aims to analyze path loss in data communication using the 802.11ac standard at a frequency of 5,185 MHz in the city of Padang. We collected data on environmental parameters, including air temperature ranging from 24.44°C to 31.11°C, relative humidity between 77% and 96%, dew point from 24.4°C to 26.11°C, and wind speed, over a period of four consecutive weeks. Additionally, we measured technical network parameters like signal strength, noise, and throughput at a 1.5 km distance between two towers, each measuring 28 meters and 25 meters in height. Environmental conditions, particularly humidity and wind speed, influence path loss, according to the research results. In the measurement, the received signal varies from -44 dBm to -49 dBm, while the noise is in the range of -90 dBm to -92 dBm. The throughput generated also varies between 259.2 Mbps and 295.2 Mbps. We discovered that high humidity and low wind speed lead to an increase in throughput, suggesting that weather conditions influence the quality of data transmission. This research provides important insights into the planning and optimization of 802.11ac wireless networks in urban areas, particularly for improving service quality under various environmental conditions
Utilization of the Internet of Things for Improving Water Quality Management and Waste Efficiency in the Tofu Industry Reinaldi Teguh Setyawan; Muhammad Asep Subandri
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.
Analysis of the Impact of the Implementation of IT Service Management on the Operational Efficiency of PT Sinergis Utama Informasi Transformasi Luntungan Stephen Pieters; Erick Dazki
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/tsnq8518

Abstract

This research aims to assess the impact of the implementation of IT Service Management (ITSM) on operational efficiency at PT Sinergis Utama Informasi Transformasi. The company is facing challenges in optimizing IT services, which is impacting delays, increasing operational costs, and decreasing service quality. We chose ITSM as the approach to address this issue, focusing on more structured service management. The research utilized simple linear regression analysis with a sample of 40 employees directly involved in the implementation of ITSM. The results indicate that ITSM has a positive and significant impact on operational efficiency, with a regression coefficient of 0.693 and a significance level of 0.000. The F-test showed an F value of 37.282, confirming a significant relationship between the implementation of ITSM and operational efficiency. This finding confirms that the implementation of ITSM enhances IT service performance, optimizes resources, and boosts company productivity. We recommend expanding the application of ITSM to other operational areas and consistently monitoring ITSM metrics to ensure continuous improvement in services and operational performance.
Design of an Android-based Letter Submission Application for Panjer Village Akbar Surya Pamungkas
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/qa4y8k19

Abstract

This study aims to show the existence of a problem that occurs in Kelurahan Panjer related to the submission of correspondence for villagers. The distance of the village head office makes access to the submission of letters hampered and even difficult to do. The methods used in this research include interviews with Panjer village residents, observation by looking directly at the field and using previous research as a comparison material. The purpose of this research is to speed up the process of submitting citizen letters and implementing the government's mandate on E-Government as a form of government responsibility to its citizens. The result of this research is a letter submission application with 6 types of letters that can be submitted. This research concludes that with this application, letter submission becomes faster because villagers do not need to come to the village office.
Optimisation  Best Sales Assessment Using aCombination of Rank Order Centroid and Additive Ratio Asessment Algorithms Yulvia Nora Marlim; Erlin; Wilda Susanti; Deny Jollyta; Dwi Oktarina
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: 10.35314/0d6dw147

Abstract

Employee assessment in a company is one of the tricks used to improve employee performance, so that it can be profitable for the company. One of the methods used to determine the best employees is to use a decision support system (DSS). By using DSS, decision making becomes faster, more accurate, efficient and effective. This study was used to determine the best sales at PT Surya Asia Abadi. By combining the Rank Order Centriod (ROC) Algorithm and Additive Ratio Assessment (ARAS) in the DSS, it can produce a better level of prediction accuracy and decision making based on the processed data. Where in this study using 6 (six) variables and 7 (seven) alternatives. The ROC algorithm is used to find the weight of each variable, and the weight obtained from the ROC is then processed using the ARAS algorithm to obtain alternative rankings. The purpose of this study is to make it easier for the Company to determine the best employees with more accurate results. The research results showed that the highest ranking was achieved by alternative AL3 with a value of 0.884 and the lowest was obtained by alternative AL1 with a value of 0.684.

Page 2 of 19 | Total Record : 189

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