Claim Missing Document
Check
Articles

EEG-Based Focus Analysis to Evaluate the Effectiveness of Active Learning Approaches Udayana, I Putu Agus Eka Darma; Sudarma, Made; Putra, I Ketut Gede Darma; Sukarsa, I Made; Jo, Minho
International Journal of Engineering, Science and Information Technology Vol 5, No 4 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i4.1068

Abstract

Electroencephalography (EEG) has emerged as a non-invasive and objective technique for monitoring brain activity in real time, widely applied to measure cognitive states such as concentration and alertness. Its ability to capture brain responses during learning processes makes EEG a promising tool to evaluate student engagement more accurately than conventional methods. This study investigates the effectiveness of two active learning methods, Project-Based Learning (PjBL) and Problem-Based Learning (PBL), in the context of English tutoring for elementary students using EEG signals as a cognitive indicator. A total of 20 students aged 8–12 years from ThinkerBee Learning Centre Bali participated in the study. EEG data were recorded using the Muse 2 Headband while students completed test-based tasks designed for each learning method. The EEG signals were preprocessed using bandpass filtering, Continuous Wavelet Transform (CWT), and frequency band decomposition. Concentration scores were then calculated using two approaches: a heuristic method based on the Beta/(Theta + Alpha) ratio and a Long Short-Term Memory (LSTM) model. The heuristic method produced average scores of 0.3991 (PjBL) and 0.3822 (PBL), with a 4.42% difference, while the LSTM model showed a more substantial difference, with scores of 0.5454 (PjBL) and 0.4265 (PBL). A Spearman correlation test between EEG-derived scores and students’ academic results yielded a perfect correlation value of 1.0000, indicating a strong relationship between cognitive engagement and learning outcomes. These results demonstrate the potential of EEG as a reliable tool for objectively assessing learning effectiveness in primary education contexts.
Evaluasi Usability dan Perbaikan Antarmuka untuk Meningkatkan User Experience Menggunakan Metode Usability Testing (Studi Kasus: Aplikasi Warga Bali) Sukarsa, I Made; Buana, I Putu Wira; Arya Utama, I Putu Juliarta; Wisswani, Ni Wayan
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 9 No 5: Oktober 2022
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2022955408

Abstract

Warga Bali adalah aplikasi lokal yang digunakan untuk mempermudah masyarakat untuk mencari informasi tentang kalender bali. Aplikasi Warga Bali juga merupakan aplikasi yang masih dalam proses pengembangan sehingga harus memperhatikan pengalaman pengguna khususnya aspek usability. Evaluasi usability pada penelitian ini untuk mengukur variabel efektivitas, efisiensi dan kepuasan pengguna dengan menggunakan 20 responden penelitian yang dipilih menggunakan simple random sampling dari masyarakat beragama hindu yang berdomisili di Provinsi Bali. Penelitian ini menggunakan  metode Usability Testing dengan mengkombinasikan teknik Performance Measurement untuk menghitung variabel efektifitas dan efesiensi serta teknik Think Aloud untuk mengevaluasi antarmuka Aplikasi Warga Bali berdasarkan hasil verbalisasi masukan dan masalah yang responden hadapi saat menjalankan skenario tugas. Data dikumpulkan menggunakan skenario tugas yang diberikan dan dari saran perbaikan yang diberikan oleh responden. Responden selanjutnya akan melakukan pengisian kusisioner SUS (System Usability Scale) yang akan digunakan untuk mengukur variabel kepuasan pengguna. Hasil pengujian responden kategori remaja dan dewasa menunjukan bahwa tingkat usability dari variabel efektivitas yang diperoleh sebesar 96% dan 93% yang berarti cukup tinggi, variabel efesiensi memiliki rata – rata 30 detik dan 38 detik, variabel kepuasan pengguna dari kuisioner SUS sebesar 46 dan 51 yang berarti masih dibawah standar nilai SUS yaitu 68 poin. Analisis dengan teknik Think Aloud menghasilkan 49 rekomendasi perbaikan dari Aplikasi Warga Bali. Penelitian selanjutnya dapat melakukan evaluasi lanjutan terhadap desain perbaikan yang telah dibuat. Hasil yang diperoleh oleh peneliti dapat digunakan sebagai acuan oleh pengembang aplikasi Warga Bali dalam melakukan perbaikan dari aspek usability. AbstractWarga Bali is a local application that is used to make it easier for people to find information about the Balinese calendar. Warga Bali application is also an application that is still in the development process so it must pay attention to the user experience, especially the usability aspect. The usability evaluation in this study was to measure the variables of effectiveness, efficiency and user satisfaction by using 20 research respondents who were selected using simple random sampling from Hindu religious communities domiciled in Bali Province. This study uses the Usability Testing method by combining the Performance Measurement technique to calculate the effectiveness and efficiency variables as well as the Think Aloud technique to evaluate Warga Bali Application interface based on the results of verbalizing input and problems that respondents face when carrying out task scenarios. Data were collected using the given task scenarios and from the suggestions for improvement given by the respondents. Respondents will then fill out the SUS (System Usability Scale) questionnaire which will be used to measure user satisfaction variables. The test results of respondents in the adolescent and adult categories show that the usability level of the effectiveness variable obtained is 96% and 93% which means it is quite high, the efficiency variable has an average of 30 seconds and 38 seconds, the user satisfaction variable from the SUS questionnaire is 46 and 51 which meaning that it is still below the standard SUS score of 68 points. The analysis using the Think Aloud technique resulted in 49 recommendations for improvement from the Warga Bali Application. Further research can carry out further evaluation of the improvement designs that have been made. The results obtained by the researchers can be used as a reference by the Balinese citizen application developers in making improvements from the usability aspect.
RANCANG BANGUN SISTEM INFORMASI PENYEDIAAN SERTA PEMESANAN PAKET TOUR DAN GUIDE DENGAN MODEL LAYANAN SAAS BERBASIS MOBILE Prasetyo, Ryan Teguh; Piarsa, I Nyoman; Sukarsa, I Made
Jurnal Review Pendidikan dan Pengajaran Vol. 7 No. 3 (2024): Vol. 7 No. 3 (2024): Volume 7 No 3 Tahun 2024 (Special Issue)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jrpp.v7i3.32049

Abstract

Perkembangan teknologi, lebih spesifiknya pada bidang cloud computing saat ini sudah berkembang dengan sangat signifikan hingga mempengaruhi hampir segala bidang kehidupan, seperti pendidikan, pemerintahan, bisnis, dan tidak terkecuali sektor pariwisata. Tingginya tingkat kontribusi pariwisata terhadap PDB Indonesia tentunya tidak luput dari peran teknologi, khususnya perkembangan sistem informasi pada bidang pariwisata. Terlepas dari perkembangan teknologi, beberapa kalangan yang terlibat pada sektor pariwisata saat ini masih mengalami masalahnya masing-masing. Masalah tersebut dialami oleh tour guide yang kesulitan untuk mendapatkan pekerjaan, para biro perjalanan yang kesulitan untuk mencari tour guide yang sesuai dalam memandu sebuah perjalanan wisata, serta wisatawan yang kesulitan untuk mendapatkan informasi mengenai sebuah perjalanan wisata karena biro perjalanan masih menawarkan layanannya menggunakan website pribadinya masing-masing. Penelitian ini memiliki tujuan untuk mengembangkan sebuah sistem informasi berbasis software as a service yang kemudian dapat menyelesaikan masalah diatas. Sistem informasi ini dibangun dalam platform website dan mobile dan berkomunikasi dengan menggunakan REST API yang dikembangkan menggunakan framework Laravel sebagai back-end server dan Flutter serta Vue.js sebagai front-end. Sistem informasi ini memiliki delapan buah modul yang diuji menggunakan Metode Black Box Testing dan telah berhasil memenuhi semua skenario pengujian.
Deep Learning Implementation Using CNN to Classify Bali God Sculpture Pictures Ni Luh Gede Pivin Suwirmayanti; I Made Budi Sentana; I Ketut Gede Darma Putra; Made Sudarma; I Made Sukarsa; Komang Budiarta
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 15 No. 02 (2024): Vol. 15, No. 2 August 2024
Publisher : Institute for Research and Community Services, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/LKJITI.2024.v15.i02.p02

Abstract

Efforts to preserve Balinese culture can be carried out by integrating art and technology as new steps that need to be developed. This research is motivated by the existence of various forms of God statues which have a central role in Balinese culture. The Deep Learning method is proposed because it has unique features that can be extracted automatically. The technique used in Deep Learning is Convolutional Neural Network (CNN). The training process is first performed to perform the classification process, and then the testing process is performed. We compared our CNN model with two other models, AlexNet and ResNet, based on the experimental results. Using a data split of 70%- 30%, our CNN model has the highest accuracy in managing statue image data. Specifically, our model achieves 97.14% accuracy, while Alexnet and Resnet achieve 24.44% and 33.33%, respectively. Apart from contributing to introducing the Balinese God Statue, this research can also be a basis for developing more comprehensive applications in culture and tourism.
Comparative Analysis of Denoising Techniques for Optimizing EEG Signal Processing I Putu Agus Eka Darma Udayana; Made Sudarma; I Ketut Gede Darma Putra; I Made Sukarsa; Minho Jo
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 15 No. 02 (2024): Vol. 15, No. 2 August 2024
Publisher : Institute for Research and Community Services, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/LKJITI.2024.v15.i02.p05

Abstract

Electroencephalogram (EEG) is a non-invasive technology widely used to record the brain's electrical activity. However, noise often contaminates the EEG signal, including ocular artifacts and muscle activity, which can interfere with accurate analysis and interpretation. This research aims to improve the quality of EEG signals related to concentration by comparing the effectiveness of two denoising methods: Independent Component Analysis (ICA) and Principal Component Analysis (PCA). Using commercial EEG headsets, this study recorded Alpha, Beta, Delta, and Theta signals from 20 participants while they performed tasks that required concentration. The effectiveness of the denoising technique is evaluated by focusing on changes in standard deviation and calculating the Percentage Residual Difference (PRD) value of the EEG signal before and after denoising. The results show that ICA provides better denoising performance than PCA, as reflected by a significant reduction in standard deviation and a lower PRD value. These results indicate that the ICA method can effectively reduce noise and preserve important information from the original signal.
Comparison of Gain Ratio and Chi-Square Feature Selection Methods in Improving SVM Performance on IDS Ricky Aurelius Nurtanto Diaz; I Ketut Gede Darma Putra; Made Sudarma; I Made Sukarsa; Naser Jawas
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 15 No. 01 (2024): Vol. 15, No. 01 April 2024
Publisher : Institute for Research and Community Services, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/LKJITI.2024.v15.i01.p06

Abstract

An intrusion detection system (IDS) is a security technology designed to identify and monitor suspicious activity in a computer network or system and detect potential attacks or security breaches. The importance of accuracy in IDS must be addressed, given that the response to any alert or activity generated by the system must be precise and measurable. However, achieving high accuracy in IDS requires a process that takes work. The complex network environment and the diversity of attacks led to significant challenges in developing IDS. The application of algorithms and optimization techniques needs to be considered to improve the accuracy of IDS. Support vector machine (SVM) is one data mining method with a high accuracy level in classifying network data packet patterns. A feature selection stage is needed for an optimal classification process, which can also be applied to SVM. Feature selection is an essential step in the data preprocessing phase; optimization of data input can improve the performance of the SVM algorithm, so this study compares the performance between feature selection algorithms, namely Information Gain Ratio and Chi-Square, and then classifies IDS data using the SVM algorithm. This outcome implies the importance of selecting the right features to develop an effective IDS.
Rancang Bangun Aplikasi Pencatatan Keuangan dan Simulasi Investasi Berbasis Web I Made Rian Suputra; I Made Sukarsa; Anak Agung Ketut Agung Cahyawan Wiranatha
Reslaj: Religion Education Social Laa Roiba Journal Vol. 7 No. 10 (2025): RESLAJ: Religion Education Social Laa Roiba Journal
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/reslaj.v7i10.9443

Abstract

Accurate financial recording and effective investment management are essential for optimizing the use of financial resources, identifying spending patterns, and maximizing investment growth. The aim of this research is to assist users in managing daily income and expenses, as well as to support decision-making in financial investments. Therefore, it is necessary to develop an application that offers practical solutions for financial recording and investment management. The financial recording and investment simulation application is developed using the Laravel Framework with the waterfall development method. The programming language used is PHP, and the database is MySQL. Application testing was carried out using Black Box Testing to verify functionality and Stress Testing to evaluate system performance and resilience. The Stress Testing scenario involved 100 samples with a ramp-up period of 10 seconds and a loop count of 1, testing one of the API endpoints, namely the news endpoint. The results of the Black Box Testing indicate that the application successfully performs the expected scenarios, and the Stress Testing results show that the application demonstrates adequate resilience under high workload conditions.
Co-Authors A.A Primaningrat Gita Puspita A.A. Istri Alit Dwi Purnamaningrat Agus Aan Jiwa Permana Ahmad Budi Setiawan Ahmad Hanafi Anak Agung Ketut Agung Cahyawan Anak Agung Ketut Agung Cahyawan Wiranatha Anak Agung Kompiang Oka Sudana Anak Agung Ngurah Aditya Winata Anak Agung Ngurah Hary Susila Anastia petika Andreyana, Putu Veda Anindya Santika Devi Antara, I Kadek Ari Melinia Arsa, Dewa Made Sri Arya Utama, I Putu Juliarta Arynasta, I Putu Krisna Ayu Wirdiani Bambang Wahyudi Buana, I Putu Wira Candra, I Putu Wijaya Adi Christine Regilia Suwu Cristianto, Cevin Wahyu Defri Gentia Deria Dwi Antari Desak Made Novita Deshiwa Budilaksana Dewa Agung Krishna Arimbawa P Dewa Ayu Indah Cahya Dewi Dewa Komang Mahardika Dewi, Ni Putu Ari Sinta Dharma Krisna Putra, Kadek Dharmawan, K. Panji Dicky, Devtian Dina Wahyuni Puteri Duman Care Khrisne Dwi Putra Githa Dwi Rusjayanthi, Dwi Dwipayana, Ida Bagus Alit Fajar Firmansyah Fatmawati Fatmawati Febe Niken Damayanti G M Arya Sasmita Gede Anantaswarya Abhisena Gede Suryawan, Gede Gunawan, I Kadek Gunawan, I Putu Gus Arisna, I Wayan Gusti Agung Ayu Putri Hary Susila, Anak Agung Ngurah I Gede Aditya Nugraha I Gede Bagus Premana Putra I Gede Bagus Premana Putra I Gede Sugita Aryandana I Gede Sumiarta Adinata I Gede Wira Yudha Lesmana I Gusti Agung Oka Widiarsana I Gusti Made Satriya Wibawa I Gusti Ngurah Wira Dharma I Kadek Ari Melinia Antara I Kadek Gunawan I Kadek Owen Nirvana Kaskora I Kadek Teo Prayoga Kartika I Ketut Adi Purnawan I Ketut Gede Darma Putra I Ketut Gede Darma Putra I ketut Gede Darma Putra I Ketut Suweca, I Ketut I Komang Surya Nata Negara, I Komang Surya I Made Agus Dwi Suarjaya I Made Budi Sentana I Made Indrayana, I Made I Made Oka Widyantara I Made Rama Pradana I Made Rian Suputra I Made Sunia Raharja I Made Sunia Raharja, I Made Sunia I Made Suwija Putra I Made Wahyu Saputra I Nyoman Piarsa I Nyoman Satria Paliwahet I Putu Ade Ambara Putra I Putu Agastya Harta Pratama I Putu Agung Bayupati I Putu Agus Eka Darma Udayana I Putu Agus Eka Darma Udayana, I Putu Agus Eka I Putu Arya Dharmaadi I Putu Arya Dharmadi I Wayan Wahyu Gautama Ida Ayu Putu Wipra Astiti Ida Bagus Ananda Paramartha Indra Dwi Cahya Setyawan Jo, Minho Juli Astuti, Ni Putu Kadek Alit Sudiyana Kadek Ayu Fitri Aryanti Kadek Suar Wibawa Kadek Wahyu Mega Duta Kadek Yartono Ketut Gede Darma Putra, I Ketut Yudhi Mahartha Komang Budiarta Kristiani Br Munthe Kurniawan, Laurensius Adi Kusnanda, I Gede Ryoga Laurensius Adi Kurniawan Lie Jasa Linggar Sukarta, Erlangga Bayu Made Kembar Sri Budhi Made Sudarma Made Sudarma Made Sudarma Mahaputra, Pande Bagus Narendra Mahayasih, Ni Putu Putri Chintyadewi Mahendra, Wayan Dony Minho Jo Minho Jo Muhammad Febrian Rachmadhan Amri Naser Jawas Naser Jawas Ngakan Nyoman Pandika Pinata Ni Kadek Ayu Anggraeni Ni Kadek Yuliastin Ni Luh Gede Pivin Suwirmayanti, S.Kom, MT, Ni Luh Gede Pivin Ni Made Ayu Krisna Cahyadi Ni Made Ika Marini Mandenni Ni Made Suasti Wulanyani Ni Nyoman Yoni Try Jayanti, Ni Nyoman Ni Nyoman Yuliarmi Ni Putu Sutramiani Ni Wayan Wisswani Ni Wayan Wisswani Ni Wayan Wisswani Ni Wayan Wisswani Nugraha, Putu Tulus Nur, Adji Mochamad Nyoman Putra Sastra Pradipta, Oka Ananta Pranata, I Nyoman Krisna Prasetyo, Ryan Teguh PRAWIRA, I WAYAN KARANG YUDHA Puteri, Dina Wahyuni Putra Pinajeng, I Kadek Trio Putra, I Made Suwija Putra, Krishna Mahendra Putri Shinta Dewi Putu Gede Arya Sumertha Yasa Putu Gede Arya Sumertha Yasa Putu Oka Yudiantara Putu Putri Wrestra Saridewi Putu Satya Saputra Putu Wira Buana Redemta Bunga, Redemta Ricky Aurelius Nurtanto Diaz Ricky Aurelius Nutanto Diaz, Ricky Aurelius Rika Hari Wahyuni Riza Afriza Islami Rocky Oktaviano Rukmi Sari Hartati Rusjayanthi, Ni Kadek Dwi Sang Made Muryawan Santiari, Desak Made Saputra, Gede Rizky Chandra Saraswati, Ni Wayan Sumartini Sri Ambar Pratiwi Suarnata, I Gede Sudana, A.A. Kompiang Oka Sunia Raharja, I Made Susila, Anak Agung Ngurah Hary Sweta, I Nyoman Umbaraditha, Kadek Satria Utama, I Putu Juliarta Arya Wayan Dony Mahendra Wirayuda, I Made Bagus Surya Wisswani, Wayan Yudi Pratistha, Pande Made