cover
Contact Name
Agus Tedyyana
Contact Email
agustedyyana@polbeng.ac.id
Phone
+6285289866666
Journal Mail Official
jurnaoinformatika@polbeng.ac.id
Editorial Address
Jl. Bathin alam, Sungai Alam Bengkalis-Riau 28711
Location
Kab. bengkalis,
Riau
INDONESIA
INOVTEK Polbeng - Seri Informatika
ISSN : 25279866     EISSN : -     DOI : https://doi.org/10.35314
Core Subject : Science,
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.
Articles 43 Documents
Search results for , issue "Vol. 9 No. 2 (2024): November" : 43 Documents clear
Identification of Digital Signature Patterns Based on The CNN Method at Almas’udiyyah Islamic Boarding School Muhammad Ulumul Ikhsanil Huda; Kustiyono
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: 10.35314/74bq6m83

Abstract

This study aims to identify digital signature patterns using the Convolutional Neural Network (CNN) method at Al Mas’udiyyah Islamic Boarding School. Digital signatures are an essential form of authentication in electronic transactions. Using MATLAB, we developed a CNN model to classify signatures and evaluate its accuracy. The dataset comprises images of students' signatures. The research stages included collecting 60 signature images for training data and 30 signature images for testing data, which were then acquired using a scanner. The results show that the Convolutional Neural Network method can recognize each signature image with high accuracy during the testing process. Al Mas’udiyyah Islamic Boarding School frequently requires verification processes for administrative purposes, such as signing attendance sheets and documents. With a CNN-based digital signature verification system, the boarding school can ensure the security and authenticity of signatures automatically, reducing the risk of forged signatures and increasing efficiency. The CNN model developed in this study achieved an accuracy of 86% in identifying genuine and forged signatures.
Smart System Augmented Reality For Cultural and Tourism Mapping in North Padang Lawas Rosyid, Januard; Rahayu Putri, Perra Budiarti; Irawan, Feri; Harahap, Hartati
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: 10.35314/8p1bvz90

Abstract

The era of digital technology continues to develop rapidly which opens up new opportunities, including in cultural mapping and tourism. The aim of this research is to develop and evaluate the effectiveness of the Augmented Reality AR system in improving tourism experiences and cultural understanding in North Padang Lawas with innovations in improving tourism experiences through AR. The cultural and tourism potential of North Padang Lawas includes Bahal I Temple, Bahal II Temple, Bahal III Temple, Aek Milas Pangirkiran, Sagayung Lake, Danao Tao, Paya Goti Lake and Siombob Waterfall. The use of AR in cultural and tourism mapping makes it easier for tourists to navigate with additional information presented interactively. The research method stages are: First, Literature Study: collecting information about AR technology, Second, Survey and Interview: interviews with tourists, local communities, tourism stakeholders and cultural experts. Third Prototype Development: Developing an AR application prototype. Fourth Testing and Evaluation: Testing the AR application can run on an Android smartphone and the AR application can scan tourist and cultural barcodes. Next, evaluate the effectiveness of the application in improving tourism experiences and understanding of cultural heritage in North Padang Lawas. Fifth Data Analysis: data obtained from surveys, interviews and application testing to evaluate the success of applying AR technology in cultural and tourism mapping in North Padang Lawas. AR technology in tourism and culture can enrich tourism and culture with different interactive experiences, education, digitalization, tourism and culture preservation and innovation in developing mapping of cultural and tourist objects
Implementation of The Algorithm in a Web-Based Geographic Information System For Mapping Tourist Attractions in the Toba Area Fadhil, Said Muhammad; Ikhwan, Ali
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/jawetw85

Abstract

Tourism is an important economic sector, including in Indonesia, which has a wealth of natural and cultural destinations, such as the Toba region in North Sumatra. However, the lack of integration of most tourist attraction data in this area into the geographic information system (GIS) poses a challenge for tourists seeking complete and accurate information. This study creates a web-based GIS using the Average Nearest Neighbor (ANN) algorithm to look at how 31 tourist spots in North Tapanuli, Toba, and Humbang Hasundutan Regencies are spread out. We use the ANN algorithm to calculate the average distance between tourist attractions and their nearest points, yielding a T value of 0.516, which indicates a clustering pattern within the range of 0–0.7. Field surveys provided the data, which ArcGIS 10.8 processed and visualized in an interactive map on a web platform. We expect the implementation of this GIS to furnish the community and tourists with comprehensive and easily accessible information, and to aid the Tourism Office in managing and promoting tourist attractions. With the presence of GIS, tourism management in the Toba region can be more organized and efficient, increasing tourist visits through the presentation of interesting, complete, and accurate information in real time