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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Reconfigurable and Embedded Systems (IJRES) International Journal of Evaluation and Research in Education (IJERE) TEKNIK INFORMATIKA Jurnal Pendidikan Teknologi dan Kejuruan Voteteknika (Vocational Teknik Elektronika dan Informatika) JTEV (Jurnal Teknik Elektro dan Vokasional Bulletin of Electrical Engineering and Informatics Sinkron : Jurnal dan Penelitian Teknik Informatika INVOTEK: Jurnal Inovasi Vokasional dan Teknologi JURNAL PENDIDIKAN TAMBUSAI Jurnal Basicedu Journal of Education Technology EDUKATIF : JURNAL ILMU PENDIDIKAN Menara Ilmu Jurnal Teknologi Informasi dan Pendidikan Journal of Applied Engineering and Technological Science (JAETS) Journal of Community Service and Empowerment Journal of Innovation in Educational and Cultural Research Jurnal Vokasi Informatika (JAVIT) Instal : Jurnal Komputer Afeksi: Jurnal Penelitian dan Evaluasi Pendidikan Jurnal Basicedu Tsaqofah: Jurnal Penelitian Guru Indonesia CONSEN: Indonesian Journal of Community Services and Engagement Journal of Systems Engineering and Information Technology Journal of Engineering Researcher and Lecturer Journal of Hypermedia & Technology-Enhanced Learning Journal of Innovative and Creativity Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Modem : Jurnal Informatika dan Sains Teknologi Jurnal Pendidikan MIPA
Agariadne Dwinggo Samala
Fakultas Teknik, Universitas Negeri Padang
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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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.
Performance Analysis of an ESP32-Based Integrated Smart Home Access System: A Laboratory Scale Study Fikri, Ryan; Dwinggo Samala, Agariadne; Faiza, Delsina; Almasri, Almasri
Voteteknika (Vocational Teknik Elektronika dan Informatika) Vol 13, No 4 (2025): Voteteknika (Vocational Teknik Elektronika dan Informatika)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/voteteknika.v13i4.136492

Abstract

This study developed and evaluated an integrated Internet of Things (IoT)-based access control system that unifies residential gate operation, garage door automation, and garage lighting within a single platform. Conventional home automation deployments typically address only one function at a time, resulting in fragmented control and limited interaction between subsystems. Compared to prior smart home implementations that focus on single subsystems, the proposed platform jointly manages gate, garage door, and lighting and reports scenario-based reliability metrics. To address this gap, the proposed system used an ESP32 microcontroller as the central controller, ultrasonic distance sensors for vehicle detection, servo motors for mechanical actuation, and a relay module for lighting control. A mobile application built with the Blynk platform provided real-time monitoring and remote control via smartphone. The prototype was tested under three scenarios-manual mobile control, fully automatic sensor-triggered operation, and combined operation-with 20 repeated cycles per scenario. Performance metrics included servo actuation time, communication latency between the mobile application and the ESP32, sensor accuracy, and operational reliability. The gate and garage door achieved opening times of approximately 1.0-1.2 s and 1.5 s, respectively, while end-to-end communication latency remained between 300 ms and 480 ms across all tests. Ultrasonic distance measurements showed a maximum error of 1.8 cm and an average error below 1.2 cm, with no system failures in any scenario. These results demonstrate that the integrated design is technically feasible, reliable, and suitable as a cost-effective foundation for residential access control.  Future work will focus on scaling the prototype toward full-size installations and extending integration with additional smart home services.
Perancangan Sistem Penjadwalan dan Bimbingan Tugas Akhir Menggunakan Algoritma CSP dengan Optimalisasi Algoritma Greedy Nadya Annisa Juventina; Resmi Darni; Delsina Faiza; Agariadne Dwinggo Samala
Journal of Innovative and Creativity Vol. 5 No. 2 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i2.3097

Abstract

Penjadwalan bimbingan tugas akhir merupakan aspek penting dalam proses akademik di perguruan tinggi, khususnya di Departemen Teknik Elektronika Universitas Negeri Padang. Namun, sistem penjadwalan yang ada saat ini masih menghadapi berbagai kendala, seperti bentrokan jadwal dan kurangnya pencatatan yang terstruktur. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem penjadwalan bimbingan tugas akhir berbasis website dengan menggunakan algoritma Constraint Satisfaction Problem (CSP) yang dikombinasikan dengan algoritma Greedy. Pendekatan ini bertujuan untuk mengatasi kendala penjadwalan dengan mempertimbangkan berbagai batasan yang ada, sehingga dapat meningkatkan efisiensi penjadwalan, mengurangi kesalahan atau bentrokan jadwal, serta mendukung kelancaran administrasi dalam mengelola proses bimbingan tugas akhir. Metode prototype digunakan dalam pengembangan sistem ini untuk menghasilkan model yang dapat diuji dan disempurnakan. Hasil penelitian menunjukkan bahwa sistem yang dikembangkan berhasil meningkatkan efisiensi penjadwalan, mengurangi konflik jadwal, dan memperbaiki komunikasi antara dosen dan mahasiswa. Selain itu, sistem ini dilengkapi dengan fitur pencatatan bimbingan digital yang memungkinkan mahasiswa untuk memantau kemajuan tugas akhir secara lebih terstruktur. Sistem ini diharapkan dapat memberikan kontribusi signifikan dalam mengoptimalkan proses bimbingan yang lebih terorganisir di perguruan tinggi.
Pengembangan Chatbot Multimodal Teks–Suara untuk Pelayanan Nasabah Bank Nagari Khalilul Afwan; Resmi Darni; Ahmaddul Hadi; Agariadne Dwinggo Samala
Journal of Innovative and Creativity Vol. 5 No. 2 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i2.3168

Abstract

Layanan customer service berperan penting dalam perbankan sebagai penghubung antara nasabah dan institusi keuangan. Di Bank Nagari, layanan ini masih didominasi metode konvensional seperti kunjungan langsung atau sambungan telepon yang memiliki keterbatasan waktu operasional dan rentan antrean panjang. Untuk mengatasi permasalahan tersebut, penelitian ini mengembangkan chatbot multimodal berbasis teks dan suara yang dapat diakses kapan saja untuk memberikan informasi layanan bank secara cepat dan interaktif. Pengembangan sistem menggunakan metode Prototyping dengan tiga tahap utama: Listen to Customer, Build/Revise Mock-up, dan Customer Test Drives Mock-up. Sistem dirancang dengan integrasi React.js (frontend), Go + Gin (backend), AWS Transcribe (speech-to-text), Google Text-to-Speech, serta modul NLP berbasis SBERT dan Random Forest. Hasil pengujian menunjukkan model memiliki akurasi keseluruhan 96,26%, dengan nilai precision, recall, dan f1-score rata-rata 0,96. Sistem mampu mengenali intent pengguna dan memberikan respons otomatis baik dari input teks maupun suara, serta memenuhi kriteria kemudahan penggunaan, kecepatan respons, dan akurasi pemahaman konteks. Implementasi chatbot ini berpotensi meningkatkan kualitas layanan nasabah Bank Nagari secara signifikan.
Pengembangan Aplikasi Sistem Pakar Berbasis Web untuk Analisis Penyakit Tanaman Cabai dengan Model Forward Chaining Ilahi, Rafi Kurnia; Samala, Agariadne Dwinggo
TSAQOFAH Vol 5 No 5 (2025): SEPTEMBER
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/tsaqofah.v5i5.6800

Abstract

Expert systems are a branch of artificial intelligence designed to replicate the reasoning abilities of a human expert in solving specific problems within a particular domain. This study aims to develop a web-based expert system using the forward chaining model to analyze and diagnose diseases in chili plants. The system is built using a rule-based approach, where users select observed symptoms and the system automatically generates a diagnosis through forward reasoning. Testing was conducted through black-box testing to ensure all features functioned as expected, and accuracy testing was performed by experts using ten real case studies. The results showed that the system successfully provided accurate diagnoses for all cases, achieving an accuracy rate of 100%. These findings demonstrate that the developed expert system is effective as a knowledge-based diagnostic tool. Furthermore, the system holds significant potential for expansion to other problem areas through adjustments to its knowledge base.
Rancang Bangun Portal Manajemen Magang Berbasis Web di PT Carano Integrasi Teknologi Wahyudi, Wahyudi; Marta, Rizkayeni; Huda, Yasdinul; Samala, Agariadne Dwinggo
TSAQOFAH Vol 5 No 5 (2025): SEPTEMBER
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/tsaqofah.v5i5.6902

Abstract

The internship administration process in many institutions, including PT Carano Integrasi Teknologi Padang, is still conducted manually and relies on physical documents, making it susceptible to inefficiencies, data loss, and errors in participant placement. This study aims to design and develop a web-based internship management portal to digitalize the entire internship process, from registration to participant evaluation. The research employs a software engineering method using a case study approach, implemented with the PHP programming language and the CodeIgniter framework. The developed portal includes features such as account registration, internship application verification, task management, report uploads, participant performance assessment, and automatic certificate issuance. The system is also equipped with an AI-powered chatbot for real-time information services. Technical evaluation was conducted to assess performance in terms of access speed and efficiency. The results demonstrate that the system effectively addresses various administrative issues, improves time efficiency, reduces the risk of document loss, and ensures appropriate participant placement based on competency through centralized capacity monitoring. Performance testing using GTmetrix indicates that the portal meets and even exceeds Google’s Core Web Vitals standards, with a Largest Contentful Paint (LCP) of 1.1 seconds, Total Blocking Time (TBT) of 0 ms, and a Cumulative Layout Shift (CLS) of 0, reflecting high loading speed, optimal responsiveness, and stable user interface layout.
Smart Focus Detection: Early Warning System Memantau Tingkat Konsentrasi Siswa dengan Behavior Recognition Ginting, Fadjar Dwitama; Resmidarni, Resmidarni; Samala, Agariadne Dwinggo; Marta, Rizkayeni
TSAQOFAH Vol 5 No 6 (2025): NOVEMBER
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/tsaqofah.v5i6.7514

Abstract

This study originates from the need for a real-time student concentration monitoring system in response to challenges in maintaining learner engagement during the instructional process. The aim of the research is to develop Smart Focus Detection, an early warning system based on deep learning and computer vision designed to automatically detect students’ focus levels. The system was developed using a modern client–server architecture integrating the YOLOv8 behavior detection model, a FastAPI-based backend service, and a Vue.js-based user interface dashboard. Development followed the Agile methodology through the stages of planning, design, implementation, and testing. The YOLOv8 model was trained using public datasets from Kaggle and Roboflow, with data preprocessing and augmentation techniques applied, and evaluated using metrics including Precision, Recall, F1 Score, and Mean Average Precision (mAP). Results show that the model achieved an mAP@0.5 score of 85%, indicating high accuracy in detecting both focused and unfocused student behaviors. Limited trials in classroom settings demonstrated that the system’s interactive dashboard effectively displays data through live monitoring features, statistical visualizations, and automated notifications. The study concludes that Smart Focus Detection holds strong potential as a proactive pedagogical assistant, enabling teachers to conduct timely interventions to enhance student engagement and learning effectiveness. The findings imply promising opportunities for leveraging artificial intelligence in the development of data-driven adaptive learning systems.
Co-Authors Abdul Hasim Abdullah, MT, Dr. Rijal Afdar, Jihan Amaria Afif Rahman Riyanda Ahmaddul Hadi, Ahmaddul 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 Delsina Faiza 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 Fortuna, Aprilla Ganefri . Ginting, Fadjar Dwitama Grassini, Simone Hadi Kurnia Saputra Hanesman Hanesman Hanesman Hasep Saputra Hasnita, Sri Hendra Hidayat Hendra Sahputra Batubara Hla Myo Tun Howard, Natalie-Jane Huda, Yasdinul Huzhain, Fadlillah Ika Parma Dewi Ikhsan, M. Faisal Ilahi, Rafi Kurnia Indarta, Yose Indra Yeni Irma Delianti , Vera Jaya, Putra Khalilul Afwan Kiong, Tee Tze Lativa Mursyida Lativa Mursyida Lature, Putri Yani M. Ismail Mahesi Agni Zaus Mailando, Sandi Azima Mainzaghi, Filipo Marta, Rizkayeni Maulana, Muhamad Gilang Muadzah, Kayla Nahda Mubai, Akrimullah Mursyida, Lativa Muskhir, Mukhlidi Nadya Annisa Juventina Ningsih, Tiara Heliyan Nizwardi Jalinus Novi Hendri Adi Nurahmat, Ilham Oktrilani, Rentika Perdana, M Ananda Adhitya Putra, Rido Rahmawati Rahmawati Rahmawati, Rahmawati Rama Putra Mahendri Ramandika, Agil Rara Cantika Rawas, Soha Resmi Darni Resmidarni, Resmidarni Ridho, Mohd Rifyal Novalia Rizka Admutia, Ranny Rizkayeni Marta Rizki Hardian Sakti Rizky Ema Wulansari Ronal Watrianthos Rozan, Alief Depa 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 Wahyudi Wahyudi 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