Garuda - Garba Rujukan Digital

Navigating the Quantum Era: Exploring Lightweight Quantum-Resistant Cryptography Wai Kaey, Tan
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1489

In the realm of cybersecurity, the emergence of quantum computing poses a significant threat to traditional cryptographic methods. Quantum algorithms such as Shor's algorithm challenge the security of widely used cryptographic schemes like ECC. As quantum computers advance, there is an urgent need to develop quantum-resistant cryptographic techniques. This research project aims to address this need by focusing on the development of lightweight quantum-resistant cryptography. The project aims to develop a National Institute of Standards and Technology (NIST) Approved lightweight quantum-resistant cryptographic algorithm that aligns with the resource constraints inherent in diverse applications and devices. By navigating the quantum era, the project seeks to provide practical, efficient, and deployable cryptographic solutions aligned with the resource constraints of diverse applications and devices.

An Enhancement of Haar Cascade Algorithm Applied to Face Recognition for Gate Pass Security Antipona, Clarence Alicante; Magsino, Romeo; Dioses, Raymund; Mata, Khatalyn
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1500

This study is focused on enhancing the Haar Cascade algorithm to decrease the false positive and false negative rate of face recognition in images with variations in lighting, facial expressions, and occlusions to increase accuracy. The face recognition library was applied with Haar Cascade where 128-dimensional vectors representing the unique features of a face were encoded. The Enhanced Haar Cascade Algorithm produced a 98.39% accuracy rate, in comparison, the Haar Cascade Algorithm achieved a 46.70% - 77.00% accuracy rate. Both algorithms used the Confusion Matrix Test with 301,950 comparisons using the same dataset of 550 images. The 98.39% accuracy rate shows a significant decrease in false positive and false negative rates in facial recognition in images with complex conditions

Empowering Sustainable Software Engineering Education with Artificial Intelligence and Immersive Technology Saputra, Dafid; Tsaqif, Farhan Fadlurohman; Ariana, Aurora Luna
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1505

This research investigates the impact of integrating artificial intelligence (AI) and immersive technologies, such as virtual reality (VR) and augmented reality (AR), in software engineering education to promote continuous and adaptive learning. The purpose of this study was to explore how these technologies increase student engagement, personalize the learning experience, and enhance practical skills essential in software development. A mixed methods approach was used, combining a quantitative survey with qualitative interviews of 20 students and 5 educators actively engaged in AI and VR powered courses. Findings revealed that AI-based adaptive learning systems encourage personalized feedback and help address individual knowledge gaps, leading to increased engagement and retention. VR based simulations enable hands-on learning, which significantly improves skill acquisition in coding, debugging, and system analysis. Despite these benefits, challenges such as high costs, data privacy concerns, and limited infrastructure remain a barrier to widespread implementation. This study contributes original insights by identifying strategies to mitigate these challenges, including gradual adoption of technology, cloud-based solutions to reduce costs, prioritizing data security, and continuous educator training. The findings underscore the transformative potential of AI and immersive technologies in creating sustainable, accessible and adaptive learning environments and equipping students with the skills needed for the innovation driven software industry.

Challenges of Online Language and Literature Learning to the BSE-English Students of Pangasinan State University-Bayambang Dela Cruz, Fariz Montemayor
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1508

This descriptive research aimed to identify challenges in online language and literature learning faced by Bachelor of Secondary Education - Major in English students at Pangasinan State University, Bayambang Campus, and to propose coping strategies. The study surveyed 153 students using a structured questionnaire with three sections: sociodemographic profile, challenges in online learning, and coping strategies. Data collection was facilitated online via Google Forms, and a non-experimental descriptive approach was applied to analyze the responses. Results indicated that most respondents were female, second-year students from low-income families (earning Php 10,000 or less monthly). The majority relied on mobile phones for online learning and expressed a preference for traditional, face-to-face classes. Key challenges impacting academic performance included difficulties in language and literature learning, self-regulation, technological literacy and competency, technological sufficiency, and learning environment—all rated as having a “Great Extent” effect on learning outcomes. The most effective coping strategies identified were self-discipline (79.1% of respondents), self-study (78.4%), and adaptation (73.2%). These strategies enabled students to navigate the demands of online learning. The study suggests further research to examine the relationship between student profiles and challenges in online education to deepen understanding of specific factors influencing academic experiences and outcomes.

A feature selection algorithm for PNN optimized by binary PSO and applied to smart city intrusion detection system Shi, Yanyan; Liu, Gaoyuan; Yang, Boxiong; Chen, Yong; Liang, Zhenbao
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1510

In the smart city construction and development process, network security is a vital link that must be addressed. As a critical technology to ensure the security of smart cities, intrusion detection systems play multiple roles, such as real-time monitoring, threat identification, and event response. By deploying and optimizing efficient intrusion detection mechanisms, smart cities can effectively resist various network attacks and ensure the safety and stability of urban operations. Therefore, this paper proposes a PNN feature selection model based on binary particle swarm algorithm optimization (BiPSO) to select features for network traffic data and remove a large amount of redundant information; then, a variety of classifiers (random forest, KNN, Adaboost, BPNN) are used to classify the data after feature selection. We use NSL-KDD for experiments. The experimental results show that the BiPSO-PNN proposed in this paper not only achieves accurate selection of data set features but also guarantees high accuracy on other classifiers, which has vital practical significance.

Improve Healthcare Accessibility via a Mobile App for Health Facility Search Utilizing Location-Based Services Zulkarnain, Adnan; Gibran, Devid
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1512

Access to health facilities is an important aspect of individual well-being but many communities, especially in remote areas, face difficulties in finding and accessing health services. Location-Based Services (LBS) technology in mobile applications offers a solution to this problem. This research aims to develop and test an LBS-based mobile application to improve the accessibility of health facilities. Using applied design, applications are developed for Android platforms. The sample consisted of 100 respondents in areas with limited access to health facilities, divided into experimental and control groups. Data is collected through application usage logs and questionnaires, analyzed using appropriate statistical techniques to evaluate accessibility and user satisfaction. The results show that the LBS application significantly increases the accessibility of health facilities. The experimental group found and accessed health facilities 30% faster than the control group. As many as 85% of experimental group respondents were satisfied with the ease of use and speed of application access. The LBS application is effective in increasing the accessibility of health services by providing real-time information about nearby health facilities. This research has practical implications for app developers, healthcare providers, and policymakers.

The Digital Learning Revolution: AI-Powered Adaptive Learning in PGSD Lectures Hertati, Elvani
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1532

The development of digital technology has significantly impacted education, including PGSD (Primary School Teacher Education) lectures. AI-powered adaptive learning offers vast potential to revolutionize digital learning in PGSD, particularly in the course on Digital Learning. This study aims to explore the use of AI-powered adaptive learning in the context of fifth-semester PGSD students enrolled in Digital Learning courses for elementary schools. This research employs a qualitative approach with a case study method. Data were collected through observations, in-depth interviews with lecturers and students, and document analysis. Data were analyzed thematically to identify the benefits, challenges, and effective strategies for implementing AI-powered adaptive learning. The findings reveal that AI-powered adaptive learning has significant potential to enhance the effectiveness of digital learning in PGSD lectures. This system can provide personalized learning tailored to the needs and abilities of each student. It also boosts learning motivation, fosters independence, and optimizes study time. However, the study also highlights several challenges, such as resource availability, technology access, and lecturers' readiness to implement this system. This research recommends that universities consider integrating AI-powered adaptive learning as an integral part of digital learning in PGSD lectures. It also serves as a reference for developing strategies and policies that support the effective and sustainable implementation of AI-powered adaptive learning in higher education.

A Literature Review: Examining Visual Design and Multimedia Elements Role in Fighting Misinformation and Strengthening Media Trust Arbi, Hafiz; Juhana, Agus
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1534

The development of digital media has presented new challenges in maintaining the credibility of information, especially amidst the increasing prevalence of misinformation and hoaxes that spread rapidly through social platforms. This study aims to explore how visual design and multimedia elements can contribute to building audience trust in media and encouraging engagement in disseminating credible information. Using the Systematic Literature Review (SLR) method, the research follows a selection procedure based on PRISMA 2020 guidelines to ensure the validity and quality of the included studies. From 20 articles that meet the inclusion criteria, the key findings indicate that consistent and aesthetically pleasing visual design, particularly those capable of touching the emotional aspects of the audience, plays a crucial role in enhancing media credibility and brand loyalty. Additionally, interactive multimedia approaches, such as dynamic infographics and narrative-based short videos, not only capture audience interest but also strengthen their intention to share credible information. This study concludes that the application of strong visual elements and emotion-based multimedia strategies can help counter misinformation by strengthening media brand equity. Recommendations for future research include developing interactive designs that can educate audiences in identifying credible information and collaborating with media professionals to ensure broader impact. These findings provide practical guidance for media in integrating visual design as an effective tool to build trust and enhance information literacy in the digital age.

A Train Driving Simulator to Enhance Railway Technology Student’s Learning Experience Using Prototype Method and OpenBVE Domato, Mea Ann E. Domato Ann E.; Gutierrez, Gabriel T.; Canas, Maxine Honey A; Salinas, Cyril Rose R.; Sison, Venerando A.; Bunag, Sherlie D.; Delizo, Carlo Jay G.; Aunario, Connie C.; Andador, Jennifer D.; Garcia, Julius G.
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1540

A Train Driving Simulator is a software application that tries to replicate the experience of operating a train. This unique equipment minimizes the expense of using actual rolling stock to teach future railway staff. The research aims to create a Train Driving Simulator with OpenBVE for Railway Technology students. The research focused on making a simulator that simulates the feeling of driving a train, which involved detailed physics modeling and control of the train. The simulator was built to be user-friendly and accessible, with features such as the 3D representation of the LRT Line 1 route and its compact, portable architecture. The simulator was built from commercial off-shelf parts and tested for usefulness, safety, and durability. The simulator's performance was tested using the TUP evaluation metrics. The research aimed to enhance the learning experience of students undergoing railway technology by providing on-site training in operating a train. The simulator will likely provide students and instructors with maximum benefit in courses like Railway Signaling, Rolling Stocks, and Railway Facilities

An Automated Rack Storage System for Railway Devices and Equipment Using QR Code and Cloud Database Technology Sarong, Charm Angel R.; Ignacio, Aaliyah Mikaela A.; Guzarin, Chrizel R.; Valdueza, Rhen Jester; Delizo, Carlo Jay G.; Bunag, Sherlie D.; Aunario, Connie C.; Martin, Weellrr D.; Garcia, Julius G.
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1541

This research project aims to develop an automated storage rack system for railway devices and equipment using QR codes and cloud-based database technology. The automated rack system can precisely store railway devices and equipment using the cloud-based QRC/QR Code database. It explores the drawbacks of conventional storage management methods in the railway industry, like lack of order, inefficiency, and security issues. Using QR codes to track and monitor all tools, equipment, and components, the proposed system includes a cloud-based database providing real-time inventory visibility and data analysis capabilities. Additionally, the system features CCTV surveillance for added security level and mobile phone integration to ensure that only you, as the end user, get access. Based on the study's findings, automated storage rack systems promise significant improvements in efficiency, security, and operational effectiveness for railway maintenance.

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Contact Name
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Contact Email
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Journal Mail Official
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Editorial Address
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Location
Kota malang,

Jawa timur

INDONESIA