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DEVELOPMENT OF AN ULTRASOUND PHANTOM WITH MODIFIED VISCOSITY TO SIMULATE HUMAN SOFT TISSUE
Ulin Nuha ABA, M.Si, Muhammad
; Haris Kuspranoto, Abdul
; ., Mugiyanto
; Hadi, Syaikhul
; Satrio Anggono, Christopher Nicolaus
; Ahmad ilham, Gus
; Ulin Nuha ABA, M.Si, Muhammad
; Haris Kuspranoto, Abdul
; ., Mugiyanto
; Hadi, Syaikhul
; Satrio Anggono, Christopher Nicolaus
; Ahmad ilham, Gus
MEDIKA TRADA : Jurnal Teknik Elektomedik Polbitrada
Vol 7
, No 1
(2026)
The diagnostic accuracy and success of ultrasound-based intervention procedures depend heavily on the quality of device calibration and the expertise of medical personnel. The development of ultrasound phantoms that can realistically replicate the acoustic and mechanical properties of human soft tissue is a crucial requirement in medical education and the standardisation of electromedical technology....
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Analisis Pola Keterlibatan Belajar Berbasis Learning Analytics pada LMS
Journal of Informatics Education
Vol 9
, No 1
(2026)
Penelitian ini menganalisis pola keterlibatan mahasiswa dalam pembelajaran daring menggunakan data learning analytics yang terekam dalam Learning Management System. Penelitian menggunakan desain kuantitatif deskriptif dengan data sekunder empiris dari satu mata kuliah daring selama delapan minggu yang melibatkan 120 mahasiswa. Indikator yang dianalisis meliputi frekuensi login, akses materi, durasi penggunaan sistem, partisipasi forum, ketepatan pengumpulan tugas, penyelesaian aktivitas, dan sko...
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Analisa & Implementasi Gamification – Data Science Untuk Menghasilkan Framework Gameedu 101
Gamayanto, Indra
; Wibowo, Sasono
; Sukamto, Titien Suhartini
; Gardianto, Gilang Rizky
; Harini, Harini
Journal of Informatics Education
Vol 9
, No 1
(2026)
Pertumbuhan pesat lingkungan pembelajaran digital menciptakan peluang baru sekaligus tantangan dalam mempertahankan keterlibatan pengguna, motivasi, dan pengalaman belajar yang dipersonalisasi. Sistem e-learning konvensional umumnya masih bergantung pada penyampaian materi statis sehingga sering menyebabkan rendahnya partisipasi dan tingginya angka putus belajar. Penelitian ini mengusulkan GameEdu Framework 101, sebuah model terintegrasi yang menggabungkan prinsip gamifikasi dan teknik data scie...
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Aplikasi Pemasaran Digital berbasis mobile untuk meningkatakn daya saing UMKM Lokal Meubel Tiarah Palu
Journal of Informatics Education
Vol 9
, No 1
(2026)
Usaha Mikro, Kecil, dan Menengah (UMKM) meubel lokal di Kota Palu memiliki potensi yang besar dalam mendukung pertumbuhan ekonomi daerah. Namun, pelaku usaha masih menghadapi berbagai kendala dalam pemasaran produk, antara lain keterbatasan jangkauan pasar, penggunaan metode promosi yang masih konvensional, serta rendahnya pemanfaatan teknologi digital. Kondisi tersebut berdampak pada rendahnya daya saing produk UMKM dibandingkan dengan produk sejenis dari luar daerah yang telah memanfaatkan pem...
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Penerapan ROP Berbasis Business Intelligence untuk Efisiensi Persediaan Depot Barokah
Journal of Informatics Education
Vol 9
, No 1
(2026)
Pengelolaan persediaan bahan baku merupakan aspek penting dalam menjaga kelancaran operasional dan efisiensi biaya pada usaha kuliner. Depot Barokah masih melakukan pemesanan bahan baku secara manual berdasarkan perkiraan, sehingga berpotensi menimbulkan overstock maupun stock-out. Penelitian ini bertujuan menerapkan metode Reorder Point (ROP) berbasis Business Intelligence (BI) untuk menentukan waktu pemesanan ulang bahan baku secara lebih tepat dan efisien. Penelitian menggunakan pendekatan de...
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Low-Dose Salinomycin Targets Multidrug Resistance via P-Glycoprotein and NF-κB in Osteosarcoma Cells
Ayu, Onarisa
; Rusda, Muhammad
; Sembiring, Rosita Juwita
; Nasution, Iqbal Pahlevi Adeputra
; Mahyudin, Ferdiansyah
; Amin, Mustafa Mahmud
; Pasaribu, Hotma Partogi
; Tobing, Tina Christina Lumban
Chemotherapy resistance in osteosarcoma remains a major clinical obstacle, largely driven by drug efflux mechanisms mediated by P-glycoprotein (ACBC1/ABCB1) and activation of NF-κB signaling (NFKB1). This study investigated the potential of Salinomycin to modulate these multidrug resistance–associated genes in U2OS osteosarcoma cells and explore its role in overcoming chemoresistance. A true experimental post-test-only control group design was used. U2OS cells were treated with varying concentra...
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Application of LSTM and MODIS Satellite Imagery for Forecasting Oceanographic Dynamics and Identifying Potential Fishing Zones in the Sunda Strait
Khalifa, Muta Ali
; Yudono, Muchtar Ali Setyo
; Prabowo, Nico Wantona
; Santoso, Prakas
; Rachmanto, Farhan
; Prasetia, Aditya Teguh
This study integrates AQUA-MODIS satellite imagery with the Long Short-Term Memory (LSTM) model to forecast oceanographic dynamics and identify Potential Fishing Zones (PFZ) in the Sunda Strait. The dataset spanning from January 2014 to December 2024 was used for model training, while forecasts for January–August 2025 were validated using in-situ observations from six sampling stations. The model predicted sea surface temperature (SST), chlorophyll-a concentration, and ocean current speed, with...
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Design and Evaluation of Hazard Analysis Procedures in Mining Occupational Safety Programs
Workplace accidents in the mining industry remain high, highlighting the need for systematic hazard analysis to strengthen Occupational Health and Safety (OHS) programs. This study aims to design and evaluate a Hazard Analysis Procedure (HAP) model for PT. XYZ. Using quantitative methods, the research applied the Fuzzy Delphi technique to validate OHS parameters and the Fuzzy Analytic Hierarchy Process (FAHP) to determine their relative weights. Data were obtained from ten certified OHS experts...
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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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Metaheuristic Optimization Stacking Application for Rainfall Classification: A Comparative Study
Accurate rainfall classification plays a vital role in effective meteorological forecasting, agricultural planning, and also to avoid natural disasters. However, standard classification models often exhibit unstable performance. This study evaluates the effectiveness of an Ensemble Stacking framework enhanced with Optimized Swarm Based and Metaheuristic method such as Artificial Bee Colony (ABC) and Cuckoo Search (CS) optimization algorithms to improve prediction reliability. The proposed approa...
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