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International Journal of Computer Technology and Science
Published by Asosiasi Riset Teknik Elektro Dan Informatika Indonesia
ISSN : 30481899     EISSN : 30481961     DOI : 10.62951
Core Subject : Science,
Computer Science & IT
This Journal accepts manuscripts based on empirical research, both quantitative and qualitative. The scope of the this Journal covers the fields of Computer Technology and Science. This journal is a means of publication and a place to share research and development work in the field of technology.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 4 Documents
 1 
Search results for , issue "Vol. 2 No. 2 (2025): International Journal of Computer Technology and Science" : 4 Documents clear
Digital Innovations in Petanque Sport: A Study on the Perceived Benefits and Barriers of Using an Android-Based Application Muchamad Arif Al Ardha; Kolektus Oky Ristanto; Rizky Muhammad Sidik; Muhammad Kharis Fajar; Advendi Kristiyandaru; Sauqi Sawa Bikalawan; Oce Wiriawan; Kukuh Pambuka Putra
International Journal of Computer Technology and Science Vol. 2 No. 2 (2025): International Journal of Computer Technology and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijcts.v2i2.231

Abstract

The rapid evolution of digital technology has significantly impacted various sports, including niche ones like petanque. This study explores the perceived benefits and barriers of using an Android-based application for scoring and statistics management in petanque, a sport gaining popularity in Indonesia. Traditionally, performance assessment in petanque relied on manual, paper-based methods, prone to inaccuracies and inefficiencies. An Android app, Petanque Match Statistics, was developed to address these challenges, offering real-time data accuracy, improved workflow, and enhanced performance analysis. This study employed a quantitative approach, surveying 50 participants (35 players and 15 coaches) in Surabaya, Indonesia, to assess their impressions of the app's usability, accuracy, efficiency, and overall satisfaction. Results indicated high ratings across all parameters, with no significant differences between players and coaches. The app was commended for its intuitive design, reliability, and time-saving efficiency. Findings highlight the potential of digital solutions to modernise petanque match administration, enhance strategic decision-making, and improve the user experience. The study underscores the importance of user-centred design in facilitating the adoption of digital advancements in sports, offering valuable insights for future developments in petanque and other emerging sports.
User Satisfaction Analysis of QGIS and CarryMap Using End User Computing Statisfaction and User Centered Design Methods Ira Zulfa; Richasanty Septima; Muhamad Yustisar; Rapiah Rapiah
International Journal of Computer Technology and Science Vol. 2 No. 2 (2025): International Journal of Computer Technology and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijcts.v2i2.240

Abstract

Using End User Computing Satisfaction (EUCS) and User Centered Design (UCD) methods, this study investigated user satisfaction with QGIS and CarryMap. The research objective was to deploy elements such as content, accuracy, ease of use, and timeliness. A survey of students and teachers showed that users were more satisfied with the latest versions of both applications. The findings show that the user interface and functionality have evolved, which indicates the direction of future development of mapping applications.
Multiclass Meat Classification Using a Hybrid Machine Learning Approach Taopik Hidayat; Daniati Uki Eka Saputri; Faruq Aziz; Nurul Khasanah
International Journal of Computer Technology and Science Vol. 2 No. 2 (2025): International Journal of Computer Technology and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijcts.v2i2.238

Abstract

Image classification is a key field in digital image processing with broad applications, such as object recognition and disease detection. The use of artificial neural network architectures, such as MobileNetV2, has significantly advanced pattern recognition in large datasets. However, in small datasets, challenges related to accuracy and generalization are often encountered. This study explores an RGB-based approach utilizing MobileNetV2 for image feature extraction and Support Vector Machine (SVM) as the classifier. MobileNetV2 is applied to extract features from RGB images, which are then further processed by SVM to determine image classes. The results indicate that this model achieves an accuracy of 91.67%, precision of 0.9163, recall of 0.9167, and F1-score of 0.9161. Based on the confusion matrix analysis, the model effectively distinguishes between classes, despite slight overlaps. This research contributes to the development of intelligent image classification systems that can be applied in various fields, including the food industry. With these achievements, the RGB approach integrating MobileNetV2 and SVM has proven effective in enhancing image classification accuracy, even with relatively small datasets. These findings open opportunities for applying similar methods in other image processing tasks that require high accuracy in object or disease detection and classification.
Application of Analytical Hierarchy Process in Functional Position Credit Point Assessment Yudi Wiharto; Mufti Mufti; Subandi Subandi; Anita Diana
International Journal of Computer Technology and Science Vol. 2 No. 2 (2025): International Journal of Computer Technology and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijcts.v2i2.242

Abstract

Credit score evaluation for functional positions is a critical component in the career development of employees at the Financial Supervisory Agency (BPK) in Jakarta. However, this evaluation process often encounters challenges related to objectivity, consistency, and transparency due to the combination of qualitative and quantitative criteria. This study aims to apply the Analytical Hierarchy Process (AHP) as a decision support tool in the credit score assessment system. AHP is chosen for its ability to break down complex problems into a hierarchical structure and to assign priority weights through pairwise comparisons among criteria. This method is used to determine the priority weights of each evaluation component, including both main and supporting elements, leading to more structured and accountable decisions. The findings indicate that the implementation of AHP enhances the accuracy and objectivity of the credit score evaluation process for functional positions at BPK. Therefore, this approach can serve as the foundation for developing a more transparent and efficient technology-based assessment system.

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