Garuda - Garba Rujukan Digital

Leveraging Data Science and AI-Based Analytics to Enhance Immersive Learning Experiences in Education Dewi, Nandita; Maulindar, Joni
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.v5i1.1655

Technology-based learning faces challenges in effectively increasing student engagement, motivation, and understanding in the context of continuing education. This study aims to explore the role of data science and AI-based analytics in supporting immersive learning experiences to improve learning outcomes. The research method used is descriptive and correlational statistical analysis of data from 50 students with various metrics, such as engagement scores, motivation, understanding, retention, AI feedback accuracy, VR content quality, learning duration, device compatibility, and network stability. The results showed that the average student engagement score was 77.45, motivation 78.57, and understanding 81.16, with each showing a significant positive relationship to learning retention (average 61.11). AI feedback accuracy had an average score of 84.66, indicating the significant contribution of AI technology in improving student understanding. VR content quality had an average score of 89.76, indicating that well-designed content can improve students' learning experiences. The average learning duration was 84.26 minutes, with a moderate correlation to understanding (r = 0.72). However, technical challenges were found, such as a weak negative correlation between learning duration and network stability, indicating that connectivity issues may affect the learning process. The regression results showed that the model was only able to explain 17.86% of the variance in the dependent variable, so additional variables are needed for a more comprehensive understanding. This study concludes that the integration of AI and VR in education has great potential to improve learning experiences and outcomes, although there are still technical obstacles that need to be overcome to maximize its impact.

Application of The Naïve Bayes Algorithm for Hate Speech Detection Dayanto, Novera Tri
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.v5i1.1657

The spread of hate speech on social media using Indonesian continues to increase. Hate speech has become a problem that is detrimental to human life in society. In this research, the Naive Bayes algorithm is implemented to detect hate speech in social media comments. The dataset used in this research consists of 10,000 Indonesian language social media comments labeled as “Hate Speech” and “Non-Hate Speech”. Accuracy for data processed using TF-IDF is 85% for Indonesian language data. Based on the results, Naive Bayes is a simple but effective analytical approach in detecting hate speech.

Infographic Posters at Sumber Gentong Natural Tourism as an Information Medium Hezron, Michael Patrick; Wardani, Lely Surya
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.v5i1.1658

Infographic posters have significant potential to enhance visitor understanding of the Sumber Gentong tourist destination. This study aims to analyze how infographics can be utilized as an effective visual communication tool to convey information about facilities, regulations, and conservation values at Sumber Gentong. Through engaging and informative visualizations, it is anticipated that infographics can increase Sumber Gentong's brand awareness, attract more visitors, and encourage active participation in environmental conservation.

Designing Sign System in Sirah Kencong Blitar as A Tourists Information Media Pracakaputra, Rezkyanori Novembra Pramadhani; Kusumasari, Adita Ayu
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.v5i1.1662

Blitar Regency, which is located in East Java Province, offers interesting natural and cultural riches. According to Detik Travel, as of April 2023, there are 35 tourist attractions that attract the attention of visitors, making Blitar a popular destination. One of them is Sirah Kencong, a tourist area with unique advantages. However, the current sign system is still traditional and less effective in providing clear guidance to visitors. By applying visual communication design and semiotic theory, this redesign is expected to improve navigation, provide more complete information, and increase a satisfying tourist experience. Significant visit data shows the need to improve information infrastructure to support sustainable tourism growth. It is hoped that the implementation of an innovative, consistent and inclusive sign system can optimize the natural tourism potential of Sirah Kencong by presenting clear information and supporting the overall visitor experience.

System Security Testing Using The Penetration Testing Method on The Palapa Vocational School Library Website Koswara, Wawan; Sulistiani, Heni; Ramadhan, Surya
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.v5i1.1663

The Palapa Library utilizes its website as the primary platform for providing information and services to users. However, the presence of vulnerabilities in the website poses significant threats to data and system security. This study aims to identify and analyze vulnerabilities on the Palapa Library website using the Penetration Testing method based on the NIST SP 800-115 standard. This method involves four stages: planning, discovery, attack, and reporting. The testing results identified two major vulnerabilities: sensitive information disclosure and SQL Injection. Once the vulnerabilities were identified, their severity levels were assessed using the Common Vulnerability Scoring System (CVSS) version 3.1. CVSS provides scores for the vulnerabilities, helping prioritize remediation efforts from the highest to the lowest risk. Based on the assessment results, appropriate remediation measures were developed to enhance the security of the Palapa Library website. This study is expected to serve as a reference for preventing similar security threats in the future and assisting other institutions facing similar challenges in improving the security of their information systems.

Student ID Validation Monitoring System Muelan, Aira Mae Failagao; Decomotan, Kyla Marie Garantosa; Lebuna, Jerico Nique
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.v5i1.1665

The Student ID Validation Monitoring System (SIVMS) is a web-based system aimed to monitor students' ID validation status at Iloilo Science and Technology University Miagao Campus. This system was created to address the challenge faced by the Office of Student Affairs and Services Miagao Campus in ensuring only students with validated ID are in the campus, enhancing safety, and security. By utilizing QR code scanning technology, the system ensures quick and accurate tracking of student validation status. The main objective of the study was to develop a system that manages student profiles, generates unique QR codes for each student, and enables security personnel to monitor student ID validation status. The system also has the ability to generate reports and was evaluated using the ISO 25010 software quality model. Built with HTML, CSS, PHP, and MySQL, the system followed the Iterative Software Development Methodology, ensuring continuous improvements through user feedback. The evaluation results, based on the ISO/IEC 25010 criteria, showed an overall rating of "excellent," with a mean score of 4.52. The system met the standards for functional suitability, performance efficiency, compatibility, usability, reliability, security, maintainability, and portability. In conclusion, the study successfully achieved its goal of developing the SIVMS, improving campus security, and supporting university policy enforcement.

QuranVision Zamzuri, Hariz; Mat Din, Mazura; Ali, Noor Rasidah
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.v5i1.1666

Tajweed is a set of rules, which is required for every Muslim to learn in order to recite the holy Quran. These rules are needed to guide Quran’s reciters from making any errors, such as mispronouncing words which are strictly prohibited when reciting Quran. The conventional learning process on Tajweed rules, which comes in the form of face-to-face learning between instructor and the students, although considered the most effective way to learn Quran, may be tedious and time consuming due to the need for prolonged session of direct contact for learning. On that note, a mobile application which can detect and recognize the feature of Tajweed rules via image processing in al-Quran using a deep learning technology is proposed. Convolutional Neural Network or CNN is the commonly used technology when it comes to object detection and image classification. Model based on CNN architectures will be utilized in developing a real-time detection and recognition mobile application, focusing on Meem Sakinah-based Tajweed rules which include Idgham, Ikhfa’ and Izhar Shafawee. The key benefits of this application is in its ability to detect Tajweed rules in a real-time scenario and works in both black and white and color-coded Quran. This application provides an alternative way for new Quran’s learners from varying backgrounds and age to learn about Tajweed rules on their own time through visual and audio learning as well as detailed descriptions of the Tajweed rules which can aid in understanding the material more effectively.

Development of a Financial Management Application for Boarding Students Using the Waterfall Method An Effective Solution for Managing Budgets and Expenses Muhammad, Nibras Faiq; Andhini, Asmara
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.v5i1.1667

Financial management is a considerable difficulty for students residing in boarding homes, who often possess restricted revenue sources and diverse expenditure requirements. An extravagant lifestyle coupled with inadequate financial literacy frequently results in students encountering difficulties with budgeting and experiencing financial crises at month’s end. This study seeks to create a web-based financial management tool employing the Waterfall methodology, intended to assist students in documenting income and expenditures, managing budgets, and enhancing their financial literacy. The Waterfall technique is methodically executed through the phases of requirements analysis, design utilising UML, implementation employing tools such as Vscode and MySQL, and testing to verify the application's operation. This program has transaction recording capabilities, financial reporting, and profile management, enabling students to efficiently track cash flow and assess spending habits. The research findings indicate that this application assists students residing in boarding homes in managing their funds more systematically, mitigates the danger of extravagance, and enhances awareness of the significance of effective financial management. This application aims to enhance students' independence in money management and facilitate their preparation for a secure financial future

Literature Review: Immersive Technology as a Teaching Aid in the Health Sector Mutyara, Dehana; Adisusilo, Anang Kukuh; Abdillah, Bima Ahmad Perkasa
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.v5i1.1668

The increasing complexity of healthcare education and the limitations of traditional teaching methods necessitate innovative approaches to meet global demands for skilled professionals. Immersive technologies, including Virtual Reality (VR), Augmented Reality (AR), Mixed Reality (MR), and Extended Reality (XR), offer transformative potential by providing interactive, lifelike simulations that bridge theoretical knowledge and practical skills. This study employs a systematic literature review alongside case studies and interviews with educators and students to assess the effectiveness of these technologies in healthcare training. Results reveal significant improvements in learner engagement, conceptual understanding, skill acquisition, and empathy, with particular benefits for inclusive and adaptive learning. However, barriers such as high costs, accessibility challenges, and ethical concerns persist, limiting widespread implementation. Practical recommendations are proposed to overcome these challenges through scalable, cost-effective solutions and interdisciplinary collaboration. This research highlights the global potential of immersive technologies to revolutionize healthcare education, fostering equity, inclusivity, and the development of a competent and empathetic healthcare workforce.

Exploring the Use of ChatGPT in Academic Assignments: Frequency, Benefits, and Perceptions among University Students Rabiev, Hasan; Sadidan, Ikhwanussafa; Nurhidayah, Novi Anthika Suci
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.v5i1.1669

The immediate advancement of artificial intelligence has introduced tools like ChatGPT, which are transforming academic practices among university students. This study investigates the frequency of ChatGPT usage, its perceived benefits, and students, views on its impact on academic tasks. Using a mixed- methods approach, the research combines quantitative surveys to assess usage patterns and qualitative interviews for deeper insights. The findings indicates that 71.3% of students primarily use ChatGPT for writing assignments or essays, with 53% rating it as very helpful in improving assignment quality. ChatGPT is valued for enhancing productivity clarifying complex concepts, and refining academic writing. However, concerns regarding over-reliance and ethical issues are prevalent. The study emphasizes the need for guidelines to promote responsible use while maintaining academic integrity. These findings provide important implications for educators and policymakers in integrating AI tools effectively into educational settings.

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name
-

Contact Email
-

Phone
-

Journal Mail Official
-

Editorial Address
-

Location
Kota malang,

Jawa timur

INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name -

Contact Email -

Phone -

Journal Mail Official -

Editorial Address -

Location Kota malang, Jawa timur INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
-

Contact Email
-

Phone
-

Journal Mail Official
-

Editorial Address
-

Location
Kota malang,

Jawa timur

INDONESIA