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Menampilkan 1–10 dari 578 artikel
Enhanced Self-Esteem Classification: Leveraging Data Augmentation and Transformer-Based Sentence Embeddings
Ahmadiansah, Reza
; Mukti Ali
; Rasimin
; Achmad Maimun
; Kastolani
; Imam Subqi
; Embun Bening Di Moravia
; Semma, Andi Bahtiar
This study investigates automated self-esteem assessment from self-descriptive text using transformer-based sentence embeddings. Although prior research has explored text, behavioral, and multimodal signals, the combined effects of data augmentation, embedding choice, and classifier complexity in text-only self-esteem classification remain insufficiently understood.Accordingly, this study aims to systematically evaluate embedding–classifier combinations under both low-resource and augmented data...
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Numerical Modeling of Stress Ratios in Single-Lap Adhesive Joints with Geometrical Modifications
Kurnia, Asep
; Setya Putra, Ichsan
; Syamsudin, Hendri
; Giri Suada, Muhamad
; Demas Priambudi, Oktavianus
This study aims to analyze the effect of variations in aluminum strip geometry and Araldite adhesive on the mechanical strength of single lap joints. A two-dimensional numerical model was developed in Abaqus/Standard using cohesive zone elements, the Benzeggagh-Kenane (B-K) model, and a quadratic stress criterion to validate the experimental results. The results show that the developed model is capable of accurately describing the stress distribution and the effect of secondary bending moments t...
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CFD Simulation of Flame Characteristics Resulting from Volatile Matter Combustion of Various Biomass Pellets
Fitrah, Ramavi Akbar Akhsanul
; Kusumaningtyas, Ratna Dewi
; Widjanarko, Dwi
; Widyastuti, Catur Rini
; Hidayat, Muslikhin
; Aziz, Muhammad
While biomass is a promising carbon-neutral alternative to coal, the specific volatile matter (VM) flame characteristics of diverse biomass pellets, particularly water hyacinth, remain under-researched. This study uses a numerical CFD approach (Ansys Fluent) to investigate how varying VM fractions influence flame structure in a 2D planar slice of the furnace block (25 cm width). Simulations employed the SST k–ω turbulence and Eddy dissipation model to capture mixing-limited chemical reactions. B...
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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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Pengaruh Dukungan Keluarga Terhadap Postpartum Blues Pada Ibu Pasca Melahirkan di Denpasar Selatan
Postpartum blues merupakan kejadian psikologis pada ibu pasca melahirkan, umumnya gangguan ini akan berlangsung pasca melahirkan anak pertama dengan rentang waktu dua hari hingga dua minggu pasca melahirkan. Angka kejadian postpartum blues pada ibu pasca melahirkan di Indonesia sebesar 57% (BKKBN, 2024). Berdasarkan angka kelahiran Provinsi Bali, Denpasar Selatan merupakan cakupan ibu pasca melahirkan tertinggi di Denpasar sebesar 5.565 jiwa. Penelitian ini dilakukan pada ibu pasca melahirkan an...
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Comparative Deep Learning Models for Indonesian Gold Price Forecasting
Putra, Albi Pernata Jomantara
; Williamsyah, Baginda Mi’raj
; Rizal, Achmad
; Dewanta, Favian
; Prasasti, Anggunmeka Luhur
; Ziani, Said
This study evaluates LSTM, CNN-LSTM, LSTM-GRU, and CNN-LSTM-GRU architectures for forecasting Indonesian gold prices using 1,269 daily observations (2022–2025). Models utilized Bayesian-optimized hyperparameters and were benchmarked against ARIMA-GARCH and Random Forest baselines across 30-day and 365-day horizons. Performance was assessed via MAE, RMSE, R², and MAPE, confirming deep learning’s superiority in capturing non-linear dynamics over classical methods. The LSTM-GRU achieved the best nu...
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Analisis Perbandingan Yolov11 dan MobileNetV3 untuk Klasifikasi Varietas Padi
Octaviansyah, Ade
; Sari, Herva Emilda
; Raharjo, Teguh
; Octaviansyah, Ade
; Sari, Herva Emilda
; Raharjo, Teguh
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 17
, No 1
(2026)
Penelitian ini bertujuan untuk menganalisis dan membandingkan kinerja model YOLOv11 dan MobileNetV3 dalam mengklasifikasikan varietas padi berdasarkan gambar digital. Kumpulan data terdiri dari 10.000 gambar yang mewakili lima varietas padi, yaitu Arborio, Basmati, Ipsala, Jasmine, dan Karacadag. Kumpulan data tersebut dibagi menjadi set pelatihan dan set pengujian, dengan proses pelatihan dilakukan selama 100 epoch. Hasil evaluasi menunjukkan bahwa MobileNetV3 mencapai akurasi klasifikasi sebes...
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Comparative Stress Analysis of Balanced Cantilever Bridges Using MIDAS Civil Based on AASHTO, Eurocode, and IRC
Evaluating stress behavior in prestressed concrete girders during staged construction is important for structural safety. This study compares stress responses based on three design codes: AASHTO, Eurocode, and IRC. A total of 21 construction stages were simulated using MIDAS Civil 2023 to model a balanced cantilever bridge. The analysis included time-dependent effects such as creep, shrinkage, and prestress losses, following each code’s assumptions. To ensure fair comparison, material properties...
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Motorcycle Passenger-Car Equivalents from Time-Headway Data with Lane-Occupancy Adjustment in Urban Indonesia
Aulia Dewi Fatikasari
; Achmad Dzulfiqar Alfiansyah
; Zaid Dzulkarnain Zubizaretta
; Rohmahillah Aviskanasya Septiandri
; Agistya Rachma Larasati
; Roma Artha Uly Napitupulu
; Linie Rose Dayaday Santacera
; Sinta Nabilah Salma
Motorcycles dominate traffic composition in East Surabaya, making the determination of Passenger Car Equivalent (PCE) values for motorcycles a crucial aspect of road performance assessment. This research evaluates motorcycle PCE value on six road sections on Raya Prapen Street, Jemursari Street, Jemur Andayani Street, Panjang Jiwo Street, Kali Rungkut Street, and Rungkut Industri Street, each observed in two directions (12 segments in total), with samples collected during peak hours on Monday (0...
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Empowering Islamic Science Literacy Through IoT Hydroponics Based Project Learning
Abdi Psikonomi
(2026)
This community service program was implemented at MTs Muhammadiyah 1 Taman, Sidoarjo, to transform simple hydroponic practices into a data-based science learning medium that integrates technology, Islamic ecological values, and green edupreneurship. The partner school had introduced hydroponics, but the activity was still manual, had not used pH, TDS, and water temperature data as learning evidence, and had not been supported by modules, worksheets, standard operating procedures, or a sustainabi...
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