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All Journal Journal of Computer Science Artificial Intelligence and Communications Jurnal Pendidikan Anak Usia Dini International Journal of Applied Science and Technology Application Journal of Information Technology and Systems Engineering
Abil Alwi Prayoga
Universitas Pembangunan Panca Budi
Humanities Computer Science & IT Earth & Planetary Sciences Education Engineering Social Sciences Other

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Efektivitas Penggunaan Flashcard dalam Meningkatkan Kemampuan Membaca Anak Usia Dini Muhammad Hasanuddin; Abil Alwi Prayoga
Jurnal Pendidikan Anak Usia Dini Vol. 1 No. 1 (2025): Desember 2025
Publisher : CV. Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/jupaud.v1i1.68

Abstract

Penelitian ini bertujuan untuk menganalisis efektivitas penggunaan media flashcarddalam meningkatkan kemampuan membaca anak usia dini. Latar belakang penelitian ini didasarkan pada kebutuhan akan metode pembelajaran yang menarik, interaktif, dan sesuai dengan karakteristik perkembangan anak. Metode penelitian yang digunakan adalah quasi-eksperimen dengan desain pretest–posttest control group. Sampel penelitian terdiri dari anak usia 4–6 tahun yang dibagi menjadi kelompok eksperimen dan kelompok kontrol. Kelompok eksperimen diberikan perlakuan berupa pembelajaran membaca menggunakanflashcardselama empat minggu, sedangkan kelompok kontrol menggunakan metode konvensional.Hasil penelitian menunjukkan bahwa terdapat peningkatan signifikan dalam kemampuan membaca anak pada kelompok yang menggunakan flashcarddibandingkan dengan kelompok kontrol. Peningkatan tersebut terlihat pada aspek pengenalan huruf, pemahaman suku kata, serta kemampuan membaca kata sederhana. Analisis statistik menggunakan uji t memperkuat temuan bahwa penggunaan flashcard memberikan pengaruh positif yang signifikan terhadap perkembangan kemampuan membaca anak usia dini. Dengan demikian, dapat disimpulkan bahwa flashcard merupakan media pembelajaran yang efektif, mudah diterapkan, dan sesuai untuk mendukung literasi awal pada anak.
Design and Evaluation of a Web-Based Interactive System for Child Growth Monitoring and Cognitive Development Muhammad Hasanuddin; Abil Alwi Prayoga
Journal of Information Technology and Systems Engineering Vol. 1 No. 1 (2026): June 2026
Publisher : CV. Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/jitse.v1i1.3

Abstract

Continuous monitoring of child growth and development is critical to ensuring optimal health outcomes and early cognitive development; however, real-world practices are often constrained by limited access to information, time barriers, and low parental engagement. This study proposes and evaluates a web-based interactive system that integrates child growth monitoring with cognitive learning media into a unified digital platform. The research adopts a user-centered design approach, followed by system development using web technologies (PHP) and interactive multimedia (ActionScript), and comprehensive evaluation through functional testing and user studies. The proposed system incorporates key functionalities, including nutritional status assessment, age-based ideal body weight estimation, interactive learning modules for early childhood, and access to health information and primary healthcare services. Evaluation results demonstrate robust system performance, with all features operating reliably across multiple browser environments and producing outputs consistent with established manual calculations. Furthermore, user study findings indicate high acceptance levels and improved parental engagement in monitoring and supporting child development. Conceptually, this work contributes to bridging digital health and educational technology through an integrated web-based multimedia approach. In practice, the system offers a scalable solution to enhance preventive healthcare services and early cognitive stimulation, particularly in underserved communities with limited access to conventional healthcare infrastructure.
Evaluating the Effectiveness of ChatGPT in Web-Based Information Systems: An Empirical Study on User Interaction and System Performance Siti Khodijah; Abil Alwi Prayoga
Journal of Information Technology and Systems Engineering Vol. 1 No. 1 (2026): June 2026
Publisher : CV. Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/jitse.v1i1.4

Abstract

The rapid advancement of generative artificial intelligence, particularly ChatGPT, has significantly transformed the landscape of web-based information systems by enabling more interactive, adaptive, and efficient user experiences. Despite its widespread adoption, empirical evidence evaluating its effectiveness in enhancing user interaction and system performance remains limited. This study aims to assess the effectiveness of ChatGPT integration within web-based information systems, focusing on its impact on user interaction quality and overall system performance. An empirical approach was employed using a quantitative research design, with data collected from users interacting with a ChatGPT-powered web system via structured questionnaires and system performance metrics. The analysis used statistical methods to examine the relationships between ChatGPT utilization, user engagement, response accuracy, and system efficiency. The findings indicate that ChatGPT significantly improves user interaction by providing faster responses, more natural communication, and higher engagement levels. Additionally, the integration of ChatGPT improves system performance, particularly response time and task completion efficiency, though minor limitations in contextual understanding and occasional inaccuracies persist. These results suggest that ChatGPT is a valuable component for enhancing the functionality of modern web-based systems. In conclusion, the study highlights the importance of integrating generative AI technologies to optimize digital system performance while emphasizing the need for continuous monitoring and refinement to address inherent limitations, thereby ensuring reliable and user-centered system development.
Design and Development of a Web-Based Multimedia Platform for the Promotion of LKP Karyaprima Supiyandi Supiyandi; Abil Alwi Prayoga
Journal of Information Technology and Systems Engineering Vol. 1 No. 2 (2026): December 2026
Publisher : CV. Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/jitse.v1i2.7

Abstract

Lembaga Kursus dan Pelatihan (LKP) Karyaprima, like many small-scale non-formal vocational training providers, relied on conventional promotional methods that limited its reach, interactivity, and the presentation of its training programs to prospective learners. This study aimed to design, develop, and evaluate a web-based multimedia platform to support the promotion of LKP Karyaprima. The Analysis, Design, Development, Implementation, and Evaluation (ADDIE) model was adopted as the research and development framework. Data were collected through interviews with institutional stakeholders, observation of existing promotional practices, documentation review, expert validation, and a usability evaluation combining the WebQual 4.0 instrument and the System Usability Scale (SUS). The resulting platform integrated an institutional profile, training-program descriptions, photo and video documentation, instructor and facility information, alumni testimonials, an online registration feature, and an administrative content-management module. Expert validation indicated that the platform met content- and media-feasibility criteria, while the usability evaluation indicated a favourable overall user experience across the usability, information-quality, and interaction-quality dimensions. The findings suggested that the platform had the potential to strengthen the promotional visibility and perceived attractiveness of LKP Karyaprima among prospective learners.
Wireless Network Security Analysis Using the Penetration Testing Method in a Campus Environment Abil Alwi Prayoga; Siti Khodijah
Journal of Computer Science, Artificial Intelligence and Communications Vol 3 No 1 (2026): May 2026
Publisher : Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/jocsaic.v3i1.173

Abstract

The rapid development of information technology has increased the utilization of wireless networks in higher education environments to support academic activities, administrative services, and digital communication. However, the widespread use of wireless networks also introduces various cybersecurity risks due to the open nature of wireless communication media. This study aims to analyze the security level of campus wireless networks using the penetration testing method to identify vulnerabilities and evaluate existing security mechanisms. The research applies a systematic penetration testing approach consisting of several stages, including information gathering, scanning, vulnerability assessment, exploitation testing, and reporting. The testing process focuses on analyzing wireless configurations, authentication mechanisms, encryption implementation, and potential unauthorized access risks. The results indicate that although the campus wireless network has implemented security protocols such as WPA/WPA2 and encryption mechanisms, several vulnerabilities remain, particularly related to weak password policies, limited access control, and insufficient network monitoring. Based on the vulnerability assessment, improvements are recommended through the implementation of stronger authentication methods, enhanced password management policies, continuous network monitoring, and periodic security evaluations. This research demonstrates that penetration testing is an effective method for identifying security weaknesses and improving wireless network protection. The findings are expected to provide valuable insights for educational institutions in developing more secure, reliable, and sustainable wireless network infrastructures.
Urban Vegetation Cover Prediction Using Sentinel-2 NDVI and Random Forest: A Brief Narrative Review Muhammad Hasanuddin; Abil Alwi Prayoga; Supiyandi Supiyandi
International Journal of Applied Science and Technology Application Vol. 1 No. 1 (2026): March 2026
Publisher : Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/ijapset.v1i1.3

Abstract

A predictive model of urban vegetation cover is developed by integrating remote sensing technology, cloud computing, and machine learning algorithms. The study used the Normalized Difference Vegetation Index (NDVI), calculated from Sentinel-2 satellite imagery and analyzed in Google Earth Engine (GEE), to monitor vegetation conditions at a wide spatial scale. The research approach uses quantitative methods, including spatial analysis based on satellite imagery and predictive modeling with the Random Forest algorithm. The research process includes acquiring Sentinel-2 Level-2A images, pre-processing them with cloud masking and atmospheric correction, calculating NDVI values, and developing vegetation prediction models using machine learning methods. The results showed that the Random Forest model predicted vegetation cover with high accuracy, as indicated by a Coefficient of Determination (R²) of 0.85 and a Root Mean Square Error (RMSE) of 0.045. The resulting vegetation distribution map shows significant variations in vegetation density between natural vegetation areas, agricultural land, and built-up areas. The findings of this study show that integrating NDVI from Sentinel-2, Google Earth Engine, and the Random Forest algorithm is an effective approach for monitoring and predicting urban vegetation cover. The results of this study make a methodological contribution to the development of remote sensing-based geospatial analysis and provide a scientific basis for sustainable urban planning and green open space management in urban areas.
Co-Authors Muhammad Hasanuddin Siti Khodijah Supiyandi Supiyandi