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Menampilkan 1–10 dari 513 artikel
Prediction of Ground Vibration due to Blasting Activities of Coal Open Pit Mine Near Village Residents Using Multivariate Logarithmic Regression
Prasmoro, Alloysius Vendhi
; Siswanto, Nurhadi
; Santosa, Budi
; Nugraha, Giri Waluyo
; Salleh , Mohd Shukor
Blasting activities are among the most important in mining and can have a negative impact on the environment and surrounding communities, causing disruption and even damaging nearby buildings and infrastructure. If the community protests and demonstrates, mining operations may be shut down, which would be very detrimental to the company. Studies are needed on effective planning to reduce the negative impacts. Ground vibrations measured by Peak Particle Velocity (PPV) are subject to thresholds se...
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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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Analysis of Cardiac Arrhythmia Detection Using Spectrograms and Convolutional Neural Networks (CNN) for Nursing Care
MEDIKA TRADA : Jurnal Teknik Elektomedik Polbitrada
Vol 7
, No 1
(2026)
Cardiac arrhythmia is a leading cause of sudden death, requiring rapid detection in emergency department nursing care. Manual interpretation of electrocardiograms (ECGs) is often time-consuming and prone to human error. This study aims to develop a lightweight and accurate automated arrhythmia classification system using a deep learning approach. The proposed method transforms one-dimensional ECG signals into two-dimensional visual representations in the form of spectrograms using the Short-Time...
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A CIA-based Sustainable Security Risk Mitigation Model for E-Certificate Systems
Suharsono, Teguh Nurhadi
; Choi , John
; Agusiady , Raden Ricky
; Saepudin, Didin
; Sukadwilinda
; Purwanto, Heri
; Savitri , Peti
; Munastha, Ketut Abimanyu
E-certificates are increasingly adopted across sectors, yet existing studies have not developed an integrated risk mitigation model that combines CIA-based sustainable security with operational and stakeholder perspectives. Current frameworks primarily address isolated technical risks or focus on general PKI security, leaving a gap in holistic modeling tailored to end-to-end e-certificate implementation. This study addresses this gap by proposing a Sustainable Security Risk Mitigation Model for...
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Digital empathy in online communication: A systematic literature review
The rapid development of digital technology has transformed how individuals communicate in modern society, reducing nonverbal cues essential for emotional understanding. Consequently, digital empathy defined as the ability to understand and respond to others’ emotions through digital media has gained increasing attention. This study aims to synthesize research trends and challenges related to digital empathy in online communication through a Systematic Literature Review (SLR) of peer-reviewed ar...
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Peningkatan Pemahaman Mahasiswa Kesehatan Lingkungan dalam Analisis Data dengan Media Pembelajaran Digital Melalui Inovasi E-Modul dan Video Tutorial
Jurnal Inovasi dan Pengabdian Masyarakat Indonesia
Vol 5
, No 2
(2026)
Latar belakang: Keterbatasan media pembelajaran digital yang interaktif membuat mahasiswa Kesehatan Lingkungan masih mengalami kesulitan dalam memahami proses pengolahan dan analisis data statistik, terutama dalam penggunaan perangkat lunak analisis data. Kondisi ini berdampak pada rendahnya tingkat kemandirian mahasiswa dalam menyelesaikan tugas akademik yang berbasis data. Tujuan: Kegiatan pengabdian masyarakat ini bertujuan memperkenalkan media pembelajaran digital berupa e-modul yang dilengk...
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PROFILE OF CLIMATE CHANGE LITERACY AND SUSTAINABILITY AWARENESS ON GLOBAL WARMING MATERIAL
This study critically maps the climate change literacy (CCL) and sustainability awareness (SA) profiles of eighth-grade students at SMPN Satap 5 Hanau regarding global warming material. Employing a quantitative descriptive approach as an initial R&D needs assessment, the study uses cognitive tests, attitude questionnaires, and behavioral observations. Results reveal a pronounced behavioral gap: students excel in basic knowledge (average 86.5%) and show strong environmental concern (83.2%), b...
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Miniature Medical Car Didukung dengan Pulse Arm Band Berbasis Algoritma XGBoost dalam Deteksi Pola Abnormal Detak Jantung
Walidin, Adamsyach Prana
; Kiswanto, Dedy
; Zai, Tri Sapta Warman
; Sagala, Fafmi
; Walidin, Adamsyach Prana
; Kiswanto, Dedy
; Zai, Tri Sapta Warman
; Sagala, Fafmi
Peningkatan kasus gangguan kardiovaskular menuntut adanya sistem pemantauan detak jantung yang tidak hanya akurat, tetapi juga mampu memberikan respons cepat terhadap kondisi abnormal. Penelitian ini bertujuan mengembangkan sistem pemantauan detak jantung berbasis Internet of Things (IoT) yang terintegrasi dengan algoritma Extreme Gradient Boosting (XGBoost) untuk mendeteksi pola detak jantung abnormal secara real-time serta memicu respons otomatis melalui Miniature Medical Car. Metode penelitia...
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Financial Management Practices Driving Sustainable Community Empowerment in Somongari Tourism Village
This study examines the strategic role of financial management in empowering the community of Somongari Tourism Village, Purworejo Regency, which serves as a model of Community-Based Tourism (CBT). Despite its rich natural and cultural assets, the village faces challenges in sustaining tourism growth due to fluctuating visitor numbers, limited services differentiation, and uneven income distribution. The research aims to evaluate how transparent and participatory financial practices can strength...
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Optimization of Coconut Fiber and Styrofoam Composition in Concrete to Improve Strength and Sound Absorption
Purwanto
; Firmawan, Ferry
; Ahmad, Fahrudin
; Purwanti, Hani
; Husna, Aimmatul
; Darus, Nadirah
; Haron, Zaiton
; Yahya, Khairulzan
This study aimed to evaluate the effect of coconut husk and Expanded Polystyrene (EPS) composition on the mechanical and acoustic properties of lightweight concrete. The research was conducted experimentally using a two-way factorial design with coconut husk variations of 0%, 0.5%, 1%, 1.5%, and 2% of cement weight and EPS variations of 0%, 10%, 20%, and 30% of coarse aggregate volume. A total of 20 mix variations (5 coir levels × 4 EPS levels) were prepared with three replications for each test...
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