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All Journal Riau Journal of Computer Science RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JURNAL EDUCATION AND DEVELOPMENT JOURNAL OF SCIENCE AND SOCIAL RESEARCH Indonesian Journal of Applied Informatics Zonasi: Jurnal Sistem Informasi REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Pendidikan dan Teknologi Indonesia Jurnal Ilmu Komputer dan Informatika Mejuajua Jurnal Minfo Polgan (JMP) Jurnal Pengabdian Masyarakat Tjut Nyak Dhien Jurnal Abdimas Maduma RJOCS (Riau Journal of Computer Science) Riau Jurnal Teknik Informatika Journal of Soft Computing Exploration Big Data Analytics and Data Science
Bunda, Yola Permata
Universitas Tjut Nyak Dhien
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

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Pengembangan Aplikasi Game Edukasi Bahasa Inggris untuk Anak Usia Dini Berbasis Android dengan Menerapkan Metode Gamification Afni, Nurul; Bunda, Yola Permata
IJAI (Indonesian Journal of Applied Informatics) Vol 9, No 1 (2024)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijai.v9i1.94482

Abstract

Abstrak:Dalam era informasi dan globalisasi, kemampuan berbahasa Inggris menjadi penting untuk mendukung sumber daya manusia yang kompeten. Namun demikian, penerapan penguasaan bahasa Inggris selama masa kanak-kanak di Indonesia terus menunjukkan kecenderungan monoton. Oleh karena itu, tujuan dari penelitian ini adalah untuk merancang aplikasi game edukasi berdasarkan teknologi Android, mengintegrasikan teknik gamifikasi untuk meningkatkan keterlibatan dan hasil dalam pembelajaran bahasa Inggris untuk anak kecil. Metodologi yang digunakan dalam penelitian ini meliputi Multimedia Development Life Cycle (MDLC), yang terdiri dari enam tahapan: konsep, desain, pengumpulan bahan, perakitan, pengujian, dan distribusi. Pengujian dilakukan terhadap 6 guru sebagai responden untuk mengukur efektivitas aplikasi. Hasil penelitian menunjukkan bahwa aplikasi ini berhasil meningkatkan motivasi dan keterlibatan anak-anak dalam belajar bahasa Inggris. Rata-rata kepuasan pengguna berkisar antara 83.33% hingga 95.83%, dengan aspek motivasi dan keterlibatan serta kepuasan guru mendapat skor tertinggi sebesar 95.83%.=============================================Abstract:In the era of information and globalization, English proficiency is essential for developing competent human resources. However, English education for early childhood in Indonesia often remains monotonous. Therefore, this study aims to develop an Android-based educational Game application using Gamification methods to enhance engagement and learning outcomes in early childhood English education. The research employs the Multimedia Development Life Cycle (MDLC) method, consisting of six stages: concept, design, material collection, assembly, testing, and distribution. The application was tested on 6 teachers to measure its effectiveness. The findings show that the application successfully increased children's motivation and engagement in learning English. The average user satisfaction ranged from 83.33% to 95.83%, with motivation and engagement, as well as teacher satisfaction, receiving the highest scores at 95.83%. 
Designing Robust Data Quality Governance Strategies for Distributed Software Systems : Integrating Real Time Monitoring and Automated Anomaly Detection Imam Rangga Bakti; Yola Permata Bunda; Mohammad Muhsin
Big Data Analytics and Data Science Vol. 1 No. 1 (2026): March: Big Data Analytics and Data Science
Publisher : Asosiasi Pengelola Jurnal Informatika dan Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66472/bdas.v1i1.21

Abstract

Distributed software systems face significant challenges related to data quality due to their complex, decentralized architecture. These systems often involve multiple nodes responsible for processing and storing data, making it difficult to maintain consistency and ensure accurate data across the entire network. In particular, issues like data inconsistency, latency, and data fragmentation are prevalent in distributed environments. To address these challenges, this study proposes an integrated data quality governance strategy that combines real time monitoring and automated anomaly detection using machine learning models. The proposed strategy aims to improve data consistency, enhance anomaly detection capabilities, and reduce the need for manual intervention, ultimately improving overall data governance in distributed systems. Real time monitoring ensures immediate identification of data issues as they occur, while machine learning models, such as autoencoders and Isolation Forests, automate the detection of anomalies based on high reconstruction errors and data isolation techniques. The study evaluates the proposed strategy through real-world distributed system scenarios, comparing its effectiveness to traditional approaches like periodic audits and manual validation. Results demonstrate that the integrated approach leads to faster anomaly detection, reduced data inconsistencies, and improved overall system performance. The use of advanced machine learning techniques and real time analytics significantly enhances the system's ability to maintain high data quality standards across multiple distributed nodes. This strategy has wide-ranging implications for industries that rely on distributed systems, such as finance, healthcare, and IoT, where data integrity is essential for operational success. Future research can focus on integrating more advanced machine learning techniques and optimizing the real time monitoring framework to handle larger and more complex systems.
Co-Authors AA Sudharmawan, AA Afriansyah Afriansyah Afriansyah Agus Kartini, Siti Ahmad Sumantri - Alifiansyah, Eldi Anwar Syahputra, Syofyan Anwar Syaputra, Sofyan Asep Supriyanto Ayoe Jumala, Tjik Ayu Fitriani Baginda Harahap Bakti, Imam Rangga Budhi Santri Kusuma Budi Harianto Catra Indra Cahyadi Chairu Sabila, Puji Cut Try Utami Cut Try Utari Cut Try Utari Deni Oktavia, Deni Dila Handayani Eddis Syahputra Pane, Eddis Syahputra Elyani, Elyani Erni Rouza, Erni Fahmi, Muhammad Ikhwan Fariza Habibi hajatina hajatina Handaru Jati HAPOSAN HUTAHAEAN Hardianto, Roki Haryadi, Octadino Hasibuan, Wahyu Hendri Maradona, Hendri Herri Trisna Frianto, Herri Trisna Imam Rangga Bakti Intan Zarina binti Raja Zaki Hashim, Raja Iskandar Zulkarnain, Wisnu Jhoni Hidayat Kartini, Siti Agus Kurniawan Sinaga Legito M. Yogi Riyantama Isjoni Meidi Wani Lestari, Meidi Wani Mohammad Muhsin Muhammad Fadlan Siregar Muhammad Fadlan Siregar Muhammad Rusdi Nasution, Muhammad Romi Nelisa, Nelisa Novendra, Rizki Nurkhamid, Nurkhamid Nurul Afni Ridwan Syahputra Rifqi, Mi'rajul Riki Adriant Romi Nasution, Muhammad Sabariah Sabariah Satria Riki Mustafa, Satria Riki Sofyan Anwar Syahputra Sulaiman, Abidin Suprianto Supriyanto, Asep Syafriwel, Syafriwel Syahputra Pane, Eddis Syahputra, Syofyan Anwar Syahtriatna Djusar Syofyan Anwar Syahputra Taufik Ismail Simanjuntak Tomi Abdilah Toresa, Dafwen Trisna Frianto, Herri Turnandes, Yogo Ulum, Zahrul Ulya, Siti Utami, Urfi Walhidayat Wirdahchoiriah Yogi Irawan