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Menampilkan 11–20 dari 1360 artikel
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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Strengthening the Capacity of PMI Volunteers Through Family Care Training and Field Practice in Nursing Homes
mugiyanto, mugi
; Hadi, Syaikhul
; Yuli Astuti, Anna Kartika
; Hastuti, Diah
; ., mugiyanto
; Hadi, Syaikhul
; Yuli Astuti, Anna Kartika
; Hastuti, Diah
Jurnal Pengabdian Multidisiplin dan Pemberdayaan Masyarakat: Abdikes Trada
Vol 3
, No 1
(2026)
The capacity building program for Indonesian Red Cross Volunteers through integrated family care training with field practice is crucial. The background of this activity is based on the increasing need for elderly health services that require the support of skilled caregivers, while the capacity of volunteers to provide basic assistance in family care is still limited. Therefore, the role of Indonesian Red Cross Volunteers as Cargivers is very important in the quality of life of the elderly, esp...
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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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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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Cost-Effectiveness of Antihypertensive Therapy in Ischemic Stroke Patients
VISIKES
Vol 25
, No 1
(2026)
Ischemic stroke is an acute condition caused by the interruption of blood flow to the brain due to blood vessel obstruction, which can lead to permanent disability and death. Hypertension is a major risk factor and the most common comorbidity in ischemic stroke patients. The use of antihypertensive therapy in stroke patients plays a crucial role in controlling blood pressure and preventing complications, but it also increases the burden of medical costs. Therefore, a pharmacoeconomic evaluation...
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MORPHOLOGICAL CHARACTERIZATION OF BRAIN TUMOR TISSUE IN MRI IMAGES USING CNN AND TRANSFER LEARNING
Hilmi, Dafa Fadhilah
; Wibawa, Aji Prasetya
; Agustavada, Ardha Ardhana Putra
; Sholum, Abdullah
; Dwiyanto, Felix Andika
This study evaluates the role of computational pattern recognition as an observational method for analyzing morphological characteristics of brain tumor tissue in MRI data. A total of 6,056 labeled MRI images, including glioma, meningioma, and pituitary tumor cases, were examined. The images were standardized to maintain uniform structural representation and processed using three convolutional-based architectures: a baseline CNN, MobileNetV2, and EfficientNet-B0. Model performance was assessed u...
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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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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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KINERJA BIDAN TERHADAP CAKUPAN IMUNISASI DASAR LENGKAP: STUDI KASUS DI PUSKESMAS BATUWARNO
Jurnal Kesehatan Masyarakat Indonesia
Vol 21
, No 1
(2026)
Latar belakang: Capaian Imunisasi Dasar Lengkap (IDL) di Jawa Tengah mengalami fluktuasi dan belum mencapai target Renstra pada beberapa tahun terakhir, dengan penurunan signifikan terjadi di tingkat kecamatan seperti di Puskesmas Batuwarno. Kinerja bidan sebagai pelaksana utama memegang peranan krusial dalam keberhasilan program ini. Tujuan: Penelitian ini bertujuan untuk menganalisis kinerja bidan terhadap cakupan imunisasi dasar lengkap ditinjau dari aspek perencanaan, pelaksanaan, serta pema...
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System Dynamics-Based Industrial Modeling of Aluminium Processing in Indonesia
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 8
, No 2
(2026)
The Indonesian aluminum industry has great potential due to its abundant bauxite reserves, but downstream development to increase added value is still limited. This study uses a dynamic system model to simulate the development of Indonesia's aluminum industry, taking into account variables such as bauxite reserves, production capacity, demand, energy costs, raw material prices, and downstream development barriers. A scenario-based simulation method is applied to evaluate the impact of various po...
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