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Evaluation of Online Learning Processes in FKIP Universitas Lampung During Covid-19 Pandemic Riyanda, Afif Rahman; Ambiyar, Ambiyar; Syahril, Syahril; Fadhilah, Fadhilah; Samala, Agariadne Dwinggo; Adi, Novi Hendri; Aminuddin, Fattachul Huda
Jurnal Pendidikan MIPA Vol 22, No 2 (2021): Jurnal Pendidikan MIPA
Publisher : FKIP Universitas Lampung

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Abstract

This article aims to explain the evaluation of the online learning process during the COVID-19 pandemic at the teaching and education faculty of the University of Lampung using the CIPP model. From this study, it can be concluded that the level of achievement of the implementation of the online learning process on the context component obtained an average score of 4.17 (83.59%) with a good category; the input component obtained an average score of 3.973 (80.04%) with good category; the process component obtained an average score of 3,798 (76.88%) with sufficient category. This means that the implementation of online learning is still not able to overcome obstacles such as the uneven distribution of internet services that can be accessed by students in the application of online learning. as well as the speed of internet network access which is still slow and product components that get an average score of 4,107 (82.13%) in the good category. From the results of the study, it can be concluded that the implementation of online learning during the COVID-19 pandemic is quite good.Keywords: online learning, Covid-19 pandemic, CIPP Model. DOI: http://dx.doi.org/10.23960/jpmipa/v22i2.pp179-187
Extended reality for education: Mapping current trends, challenges, and applications Samala, Agariadne Dwinggo; Bojic, Ljubisa; Rawas, Soha; Howard, Natalie-Jane; Arif, Yunifa Miftachul; Tsoy, Dana; Coelho, Diogo Pereira
Jurnal Pendidikan Teknologi Kejuruan Vol 7 No 3 (2024): Regular Issue
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jptk.v7i3.37623

Abstract

The advancements in 5G technology and Artificial Intelligence (AI) have accelerated the integration of immersive technologies such as Extended Reality (XR) into educational practices. There is a notable scarcity of studies focusing specifically on the applications and impact of XR in academic settings. Most existing research has concentrated on AR and VR, leaving a gap in understanding the full potential of XR. Addressing these gaps and challenges is crucial for harnessing the full potential of XR in education. This study aims to map and analyze the applications, trends, and educational challenges of XR technology. This study conducts a bibliometric analysis covering XR's application in education from 2018 to 2023, analyzing 32 articles from Scopus sources. Key findings highlight XR's annual growth in research publications, with significant contributions from the United States, China, and Canada. XR enriches education by facilitating immersive simulations, real time interaction with virtual objects, and spatial manipulation in three dimensions. It fosters presence and embodiment in virtual environments, supports practical training through realistic simulations, enhances multi-sensory engagement, promotes collaborative learning environments, and improves accessibility for diverse learners. The main challenges of XR technology include high costs, technical hurdles, regulatory issues, infrastructure limitations, and the need for digital literacy and skills. Addressing these challenges, collaborative efforts among educators, researchers, and industry stakeholders are required. Such collaboration is crucial for harnessing the full potential of XR technology to revolutionize education and prepare learners for a dynamic future.
Enhancing cloud resource management: leveraging adversarial reinforcement learning for resilient optimization Dwinggo Samala, Agariadne; Rawas, Soha; Criollo-C, Santiago
Bulletin of Electrical Engineering and Informatics Vol 14, No 6: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i6.10636

Abstract

This paper introduces the first adversarial reinforcement learning (ARL) framework for resilient cloud resource optimization under dynamic and adversarial conditions. While traditional reinforcement learning (RL) methods improve adaptability, they fail when faced with sudden workload surges, security threats, or system failures. To address this, we propose an ARL-based approach that trains RL agents using simulated adversarial perturbations, such as workload spikes and resource drops, enabling them to develop robust allocation policies. The framework is evaluated using synthetic and real-world Google Cluster traces within an OpenAI Gym-based simulator. Results show that the ARL model achieves 82% resource utilization and a 180 ms response time under adversarial scenarios, outperforming static policies and conventional RL by up to 12% in terms of cost-effectiveness. Statistical validation (p0.05) confirms significant improvements in resilience. This work demonstrates the potential of ARL for self-healing cloud schedulers in production environments.
Rancang Bangun Game Eduquiz It Smart Berbasis Android Sebagai Media Pembelajaran Mata Pelajaran Informatika Kelas X di SMA Negeri 3 Sungai Penuh Ramandika, Agil; Dwinggo Samala, Agariadne
Jurnal Pendidikan Tambusai Vol. 9 No. 3 (2025): Desember
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

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Abstract

Penelitian ini bertujuan untuk merancang dan mengembangkan aplikasi game edukatif berbasis Android bernama EduQuiz IT Smart sebagai media pembelajaran interaktif untuk mata pelajaran Informatika kelas X di SMA Negeri 3 Sungai Penuh. Metode penelitian yang digunakan adalah Research and Development (R&D) dengan model Game Development Life Cycle (GDLC) yang terdiri atas enam tahap, yaitu initiation, pre-production, production, testing, beta, dan release. Aplikasi dikembangkan menggunakan Adobe Animate 2023 dengan bahasa pemrograman ActionScript 3.0 serta terintegrasi dengan Realtime Database untuk penyimpanan skor dan data pengguna. Pengujian dilakukan melalui black box testing dan User Acceptance Testing (UAT) untuk menilai fungsionalitas, tampilan, materi, kinerja, dan daya tarik aplikasi. Hasil pengujian menunjukkan bahwa seluruh fitur berfungsi sesuai rancangan, sedangkan nilai rata-rata UAT mencapai 94,1% dengan kategori “sangat baik”. Temuan ini menunjukkan bahwa EduQuiz IT Smart mudah digunakan, menarik, dan efektif dalam meningkatkan motivasi serta pemahaman siswa terhadap materi Informatika. Aplikasi ini juga memenuhi standar kualitas perangkat lunak ISO/IEC 25010 (2011) dalam aspek functional suitability, usability, performance efficiency, dan reliability. Dengan demikian, EduQuiz IT Smart dinyatakan layak secara teknis dan pedagogis sebagai media pembelajaran digital inovatif di era pendidikan berbasis teknologi.
Co-Authors Abdul Hasim Abdullah, MT, Dr. Rijal Afdar, Jihan Amaria Afif Rahman Riyanda Ahmaddul Hadi, Ahmaddul Akrom, Akrom Al-Rasyid, Muhammad Almasri Almasri Ambiyar, Ambiyar Aminuddin, Fattachul Huda An 'Amna Hafizhah Aqil Afif Asmar Yulastri Asmara, Delvi Asrul Huda Batubara, Hendra Saputra Bayu Ramadhani Fajri Bayu Ramadhani Fajri Bojic, Ljubisa Budi Syahri Chan, Aldi Rizal Chintiya Larashati Coelho, Diogo Pereira Criollo-C, Santiago Dedy Irfan Dekry, Muhammad Reviza Devansyah, Sultan Devega, Army Trilidia Dian Safitri Dony Novaliendry Efrizon Efrizon Fadhilah Fadhilah Fadhilah Fadhilah Fadhli Ranuharja Fahmi Rizal Fajri, Bayu Ramadhani Fathur Rahman Febri Prasetya Fikri, Ryan Fortuna, Aprilla Ganefri . Grassini, Simone Hadi Kurnia Saputra Hanesman Hanesman Hanesman Hasep Saputra Hasnita, Sri Hendra Hidayat Hendra Sahputra Batubara Hla Myo Tun Howard, Natalie-Jane Huzhain, Fadlillah Ika Parma Dewi Indarta, Yose Indra Yeni Irma Delianti , Vera Jaya, Putra Kiong, Tee Tze Lativa Mursyida Lativa Mursyida Lature, Putri Yani Mahesi Agni Zaus Mailando, Sandi Azima Mainzaghi, Filipo Marta, Rizkayeni Muadzah, Kayla Nahda Mursyida, Lativa Muskhir, Mukhlidi Ningsih, Tiara Heliyan Nizwardi Jalinus Novi Hendri Adi Nurahmat, Ilham Oktrilani, Rentika Putra, Rido Rahmawati Rahmawati Rahmawati, Rahmawati Rama Putra Mahendri Ramandika, Agil Rara Cantika Rawas, Soha Resmi Darni Ridho, Mohd Rifyal Novalia Rizka Admutia, Ranny Rizkayeni Marta Rizki Hardian Sakti Rizky Ema Wulansari Ronal Watrianthos Rozan, Alief Depa Ryan Fikri Ryan Fikri Sandra, Randi Proska Sanjaya, Dimas Silalahi, Naufal Alfarizi Simatupang, Wakhinuddin sinaga, lotar mateus Sitepu, Raynald Sokolova, Elizaveta Vitalievna Sukardi Sukardi Sukardi, Sukardi Syahisro Mirajdandi Syahril Syahril Syahril Syahril Syukhri Syukhri Teza Agustina Titi Sri Wahyuni Titin Sriwahyuni Tsoy, Dana Veithzal Rivai Zainal Vera Indriani Vera Irma Delianti Vera Irma Delianti Vitalyevna, Sokolova Elizaveta Wakhinuddin Wakhinuddin, Wakhinuddin Waskito Wela Julia Rahmi Wiki Lofandri Windiani Yuniar Wulansari, Rizky Ema Yeka Hendriyani Yose Indarta Yose Indarta Yose Indarta Yose Indarta Yose Indarta Yose Indarta Yose Indarta Yunifa Miftachul Arif Zakhrifa Husna Zulhendra Zulhendra