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Enhanced Self-Esteem Classification: Leveraging Data Augmentation and Transformer-Based Sentence Embeddings Reza Ahmadiansah; Mukti Ali; Rasimin; Achmad Maimun; Kastolani; Imam Subqi; Embun Bening Di Moravia; Andi Bahtiar Semma
Advance Sustainable Science Engineering and Technology Vol. 8 No. 4 (2026): August-October
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i4.2741

Abstract

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 conditions. Textual self-descriptions were collected from 298 undergraduate students at UIN Salatiga and labeled using the Indonesian version of the Rosenberg Self-Esteem Scale, yielding three self-esteem categories. To address data scarcity, a controlled translation-based augmentation pipeline with expert psychological validation was applied exclusively to the training set. Seven multilingual sentence embedding models were paired with eight classification algorithms, and performance was evaluated using macro-averaged metrics, along with training and inference time. Results reveal a two-regime pattern: (1) in limited-data settings, strong embeddings with simple classifiers perform best, (2) whereas in augmented settings, representation quality dominates and classifier choice has a marginal effect. The findings suggest that prioritizing high-quality embeddings and carefully validated data augmentation enables accurate, scalable, and cost-effective text-based self-esteem assessment for real-world psychological applications.
PERAN EMPLOYEE AGILITY DAN PRINCIPAL SUPPORT TERHADAP KESIAPAN MENGHADAPI PERUBAHAN PADA KARYAWAN Mutamimah Mutamimah; Reza Ahmadiansah
JURNAL PSIKOLOGI SKIsO (Sosial Klinis Industri Organisasi) Vol. 1 No. 2 (2026): Jurnal Psikologi UIT SKIsO
Publisher : Fakultas Psikologi Universitas Indonesia Timur (UIT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36090/

Abstract

Peran Employee Agility dan Principal Support Terhadap Kesiapan Mneghadapi Perubahan pada Karyawan. Penelitian ini bertujuan untuk menganalisis pengaruh employee agility dan principal support terhadap kesiapan menghadapi perubahan (readiness for change) pada karyawan PT Bank Syariah Nasional (BSN) Kantor Cabang Semarang. Di era disrupsi digital, institusi perbankan syariah dituntut untuk beradaptasi dengan cepat agar tetap kompetitif. Penelitian ini menggunakan pendekatan kuantitatif dengan metode survei terhadap seluruh karyawan BSN Kantor Cabang Semarang sebagai partisipan. Data dikumpulkan menggunakan kuesioner terstruktur dan dianalisis dengan teknik regresi linier berganda. Hasil penelitian menunjukkan bahwa employee agility dan principal support memiliki pengaruh positif dan signifikan terhadap kesiapan menghadapi perubahan. Nilai koefisien determinasi (R-square) sebesar 0,642 mengindikasikan bahwa 64,2% varians dalam kesiapan menghadapi perubahan dijelaskan oleh kedua variabel independen tersebut, sementara 35,8% sisanya dipengaruhi oleh faktor lain. Temuan ini menegaskan bahwa kelincahan individu yang didukung oleh lingkungan kerja kondusif dari manajemen merupakan faktor krusial bagi keberhasilan transformasi organisasi. Penelitian ini memberikan implikasi manajerial bagi pemimpin perbankan syariah untuk memperkuat kapasitas SDM melalui program pelatihan berbasis agilitas serta penerapan gaya kepemimpinan yang suportif. Upaya ini sangat penting untuk memastikan keberlangsungan dan keberhasilan inisiatif transformasi digital di sektor perbankan.