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Menampilkan 1–10 dari 3388 artikel
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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CFD-Based Thermohydrodynamic Analysis of Vegetable Oil Lubricants in Journal Bearings
This study investigates the thermohydrodynamic performance of journal bearings lubricated with palm trimethylolpropane (TMP) ester as a biolubricant, compared to conventional engine oil, using computational fluid dynamics (CFD) in ANSYS Fluent. The objective is to evaluate the influence of lubricant type on pressure distribution, load carrying capacity, friction force, and cavitation behavior. The results show that palm TMP ester generates higher hydrodynamic pressure while maintaining a similar...
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Spatial Vulnerability Index Modeling for Climate Change Risk Assessment in Indonesia
This study develops a Fuzzy Logic-based Intelligent Decision Support Model (IDSM) to map climate change vulnerability across 34 Indonesian provinces, using 20 variables grouped into four parameters: greenhouse gases, geological factors, anthropological factors, and weather conditions. Data from 2015–2020 were sourced from the Global Atmosphere Watch, LAPAN, BASINS-CAT, BPS, and the DigComp 2.0 framework at the provincial level. The methodology involved data normalization, trend analysis via line...
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Comparative Evaluation of Automatic Labeling and Modeling Strategies for Indonesian Sentiment Analysis: Methodology and Performance Evaluation
Latifa, Khoiriya
; Agung Handayanto
; Nur Latifah Dwi M.S
; Rahul Bhandari
; Ton Nguyen Trong Hien
; Doston Pirnazarov
Sentiment analysis is vital for understanding consumer perception, yet Indonesian sentiment classification faces challenges due to labeled data scarcity and computational constraints. This study advances automatic labeling techniques and establishes performance benchmarks for Indonesian text. The research compares two labeling approaches InSet Lexicon and IndoBERT based Hugging Face pipeline on 8,447 Tapera-related opinions. Results show InSet Lexicon produced a highly skewed distribution (89.66...
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Comparative Study of Classical and Quantum Machine Learning Models: Insights into Quantum Advantage in Materials Informatics
Quantum Machine Learning (QML) has emerged as a promising paradigm for addressing increasing computational and representational demands in materials informatics. While classical models such as Support Vector Machines (SVM) achieve strong predictive performance, they often struggle to capture complex, highly correlated interactions in high-dimensional materials data. QML addresses this challenge by leveraging quantum-mechanical principles to construct expressive feature embeddings, where prospect...
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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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Gerakan Pilah Sampah dari Rumah: Edukasi Kompos dan Pengelolaan Sampah Organik menuju Gaya Hidup Berkelanjutan
Hidayah, Fitria Fatichatul
; Yuliyanto, Eko
; Saharani, Aqlia
; Damayanti, Diah
; Mirza, Saif Revalindo
; Akmal, Achmad Ridlwan
Jurnal Inovasi dan Pengabdian Masyarakat Indonesia
Vol 5
, No 2
(2026)
Latar belakang: Timbunan sampah rumah tangga di lingkungan permukiman semakin meningkat. Keberadaan sampah yang menumpuk tanpa pengelolaan yang baik dapat menimbulkan dampak buruk berkaitan dengan kesehatan dan kebersihan lingkungan. Di sisi lain, masyarakat belum memiliki kesadaran dan keterampilan yang cukup dalam mengelola sampah rumah tangga. Tujuan: Untuk mengetahui opini terkait gaya hidup berkelanjutan dan meningkatkan pengetahuan tentang pengolahan sampah organik menjadi pupuk kompos seb...
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Effect of Different Layers on the Performance of Laminate Epoxy Composite Reinforced with Textile Waste
Thomas Junaedi
; Siregar, Januar Parlaungan
; Zalani, Mohamed Reza
; Imran, Al Ichlas
; Tezara Cionita
; Endah Murtiana Sari
; Deni Fajar Fitriyana
; Etanto Heiliano Wijayanto
Post-consumer textile waste poses significant environmental problems, but its potential for commercial recycling remains under-researched. Therefore, this study utilizes calico textile (CT) waste as reinforcement in polymer composites. The effect of layering number of CT in epoxy composite will be investigated. CT was varied with three layers, namely 1, 3, and 5 embedded in epoxy resin with the hand lay-up method in open molding. The mechanical testing of pure epoxy as a control point for tensil...
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In Vitro Degradation and Mechanical Performance of Mg AZ31B for Biodegradable Bone Implant Applications
Magnesium AZ31B is a promising biodegradable implant material due to its mechanical properties comparable to natural bone and its ability to degrade in physiological environments, potentially eliminating the need for secondary surgery. However, its rapid degradation can cause a significant loss of mechanical integrity, limiting its use in load-bearing applications. This study investigates the evolution of mechanical properties and surface characteristics of AZ31B during in-vitro immersion in Sim...
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Data-Driven Techno-Behavioral Segmentation of Post-Pandemic Tourists Using TwoStep Cluster Analysis
Post-pandemic tourism is characterized by increasing behavioral heterogeneity as digital technologies reshape travel planning and mobility practices, challenging traditional demographic-based segmentation. This study develops a techno-behavioral, data-driven segmentation framework within the Smart Tourism Ecosystem perspective by conceptualizing digital adoption as a mediating mechanism between socio-demographic attributes and travel behavior. Using survey data from 805 domestic tourists in Yogy...
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