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Menampilkan 1–10 dari 71 artikel
Optimization of Tracking Algorithm on Mouse Movement Monitoring Platform in Medical Testing
Ibrahim, Sutrisno
; Rohmani, Rahmat
; Hariyono, Joko
; Rahutomo, Faisal
; Wiyono, Nanang
; Yudhani, Ratih
Accurate monitoring of mouse behavior in the Elevated Plus Maze (EPM) is essential for anxiety-related biomedical research, yet manual observation is time-consuming, subjective, and prone to human error. This study proposes an optimized automated tracking framework that integrates YOLOv8 detection with tracking methods including an adaptive Kalman Filter and DeepSORT, and compares them with conventional trackers such as CSRT and GOTURN. System performance was evaluated using Intersection over Un...
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Evaluating Behavior-Driven Metrics in Gamified Hybrid Environments: A Structural Analysis Approach
Henka Bayu Seta
; Zatin Niqotaini
; Sarika Afrizal
; Theresiawati
; Artika Arista
; Rapolo Joshua Napitupulu
; Muhammad Ibrahim Al Farisi
Despite the widespread adoption of gamification in higher education, a significant research gap remains regarding the structural pathways through which specific game elements influence psychological drivers and academic success in hybrid settings. This study addresses this by evaluating the impact of badges, points, progress bars, and leaderboards on student motivation and outcomes using a quantitative approach with a sample of 437 university students in Indonesia. Data were analyzed using Parti...
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Enhancing Sustainability in Linear WSNs Using DSDVTRI: A Triple-Interleaving Routing Approach for Pipeline Monitoring
Kumaran, Divya Nacciar
; Siva Kumar Subramaniam
; Ahamed Fayeez Bin Tuani Ibrahim
; Vigneswara Rao Gannapathy
The safety and efficiency of oil and gas pipelines remain critical due to the high risks associated with leaks, pressure surges, and undetected structural damage. WSNs provide an effective solution for real-time monitoring by deploying sensor nodes along the pipeline. However, existing routing protocols such as DSDV and AODV face challenges with congestion, packet loss, and uneven energy consumption in long linear topologies. This study proposes DSDVTRI, a triple-interleaving extension of the DS...
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Stratification and Charging Efficiency in Compact Thermal Storage Under Variable Flow Conditions: An AI-Assisted Simulation Study
Simanjuntak, Janter P.
; Daryanto, Eka
; Tambunan, Bisrul Hapis
; Silaban, Robert
; Sinaga, Denny Haryanto
; Zainon, Mohd Zamri
; Muhammad Ibrahim
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 8
, No 1
(2026)
Thermal Energy Storage (TES) systems are essential for managing low-grade heat in renewable energy applications. This study evaluates the impact of flow rate and heating power on thermal stratification and efficiency within a 30-liter TES unit. Using an AI-assisted simulation framework, the system's performance was analyzed across varying flow rates (0.3–0.9 LPM) and heater capacities (1.5–2.0 kW). Results indicate that lower flow rates (0.3–1.2 LPM) effectively preserve stratification, whereas...
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Evaluation of Learning Management System for Users with Accessibility Needs Using Extended Technology Acceptance Model (E-TAM)
Zatin Niqotaini
; Henki Bayu Seta
; Theresiawati
; Dwi Vernanda
; Artika Arista
; Muhammad ibrahim Al Farisi
; Rapolo Joshua Napitupulu
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 8
, No 1
(2026)
Inclusive education aims to provide equal learning opportunities for students with special needs, including the use of a Learning Management System (LMS). The urgency of this research stems from the significant challenges in LMS accessibility, which pose major obstacles for students with disabilities. These challenges include difficult navigation, a lack of screen reader features, and unfriendly interface design. The objectives of the research are to identify and evaluate the factors of LMS acce...
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A Lightweight Maize Leaf Disease Recognition Using PCA-Compressed MobileNetV2 Features and RBF-SVM
Journal of Computing Theories and Applications
Vol 3
, No 3
(2026)
The integration of Artificial Intelligence (AI) into precision agriculture has significantly improved plant disease recognition; however, many existing deep learning models remain computationally expensive and feature-redundant, limiting their deployment on low-power and edge devices. To address these limitations, this study proposes a lightweight framework for maize leaf disease recognition based on serial deep feature extraction, dimensionality reduction, and machine-learning–based classificat...
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Analisis Sentimen Publik terhadap Pembangunan Ibu Kota Nusantara (IKN) menggunakan Algoritma Naive Bayes
Baginda Oloan Lubis
; Benny Firmansyah
; Hilmy Putra
; Soni Irawan
; Ainindia Nur Alizah
; Muhammad Ibrahim Adnan
; Daniel Marulitua Situmorang
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 5
, No 1
(2026)
Pembangunan Ibu Kota Nusantara (IKN) merupakan salah satu proyek strategis nasional yang banyak mendapatkan perhatian publik karena dampaknya yang luas pada aspek sosial, ekonomi, dan politik di Indonesia. Media sosial, khususnya TikTok, memainkan peran penting dalam membentuk dan merefleksikan opini masyarakat, sehingga menjadi sumber data yang relevan untuk analisis sentimen secara real-time. Penelitian ini bertujuan untuk menganalisis sentimen publik terhadap progres pembangunan IKN menggunak...
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Evaluasi Keamanan Wirelles Network WPA2 Vs WPA3 Terhadap Serangan Deauthentication dan Brute Force menggunakan Aircrack-ng
Harry Pribadi Fitrian
; Eri Eriyana
; Hendrick Maulana Ibrahim
; Riordan Pramana Rizqullah
; Silvia Putri Meliansyah
Vol 5
, No 1
(2026)
Keamanan jaringan nirkabel menjadi perhatian kritis seiring meningkatnya penggunaan Wireless Local-Area Network (WLAN) diberbagai sektor. Penelitian ini mengevaluasi efektivitas protokol keamanan WPA2-PSK dan WPA3-SAE dalam mencegah serangan deauthentication dan brute-force menggunakan Aircrack-ng suite. Metodologi penelitian menggunakan pendekatan penetration testing etis dalam lingkungan lab terkontrol dengan dua access point yang di konfigurasi menggunakan protokol WPA2-PSK dan WPA3-SAE. Peng...
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Universal Design For Learning (UDL) Dalam Pendidikan Anak Usia Dini
Haris, Fakhita Indira
; Zaman, Badru
; Kurniati, Euis
; Apsari, Nurcita
; Khoerunnisa, Salsabila
; Sidqia, Tiara Lisania
; Shofia, Aida Fitri
; Arini G, Alfianti
; Hamid, Ainun Ibrahim
Early Childhood Research Journal
Vol 8
, No 2
(2025)
Penelitian ini bertujuan untuk mengkaji penerapan Universal Design for Learning (UDL) dalam pendidikan anak usia dini (PAUD) melalui pendekatan Systematic Literature Review (SLR) dengan kerangka PRISMA. UDL merupakan pendekatan inklusif yang dirancang untuk mengakomodasi keberagaman peserta didik melalui desain kurikulum yang fleksibel, adaptif, dan dapat diakses oleh semua anak. Analisis dilakukan terhadap 13 sumber literatur terakreditasi yang relevan dengan topik UDL dan keberagaman pada anak...
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Meta-analisis: Pengaruh Media Pembelajaran Terhadap Keterampilan Abad 21 Pada Pendidikan Anak Usia Dini
Khoerunnisa, Salsabila
; Sardin
; Lisania Sidqia, Tiara
; Fitri Shofia, Aida
; Arini G, Alfianti
; Ibrahim Hamid, Ainnun
; Indira Haris, Fakhita
; Apsari, Nurcita
Early Childhood Research Journal
Vol 8
, No 2
(2025)
Abad ke-21 menuntut penguasaan keterampilan 4C (Critical Thinking, Creativity, Communication, dan Collaboration) distimulus sejak usia dini sebagai fondasi anak dalam menghadapi kompleksitas kehidupan. Namun, efektivitas media pembelajaran dalam mengembangkan keterampilan tersebut pada jenjang Pendidikan Anak Usia Dini (PAUD) belum banyak disintesis secara komprehensif. Penelitian ini bertujuan untuk menganalisis pengaruh media pembelajaran terhadap keterampilan abad ke-21 pada anak usia dini de...
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