Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Jurnal Kolaborasi Sains dan Ilmu Terapan Proceeding Seminar Nasional Riset Terapan Administrasi Bisnis dan Mice (SNRT)
Hana Nurdina
Unknown Affiliation
Aerospace Engineering Automotive Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Perbandingan Model Deep Learning dan Transformer untuk Analisis Sentimen Ulasan Aplikasi Tokopedia Restu Jati Saputro; Ratri Kurniasari; Hana Nurdina
Jurnal Kolaborasi Sains dan Ilmu Terapan Vol. 5 No. 1 (2026): Desember In Progress
Publisher : Utiliti Project Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Rating bintang pada ulasan aplikasi tidak selalu merepresentasikan polaritas teks. Penelitian ini membandingkan tujuh model machine learning, deep learning, dan Transformer pada 10.071 ulasan Tokopedia berbahasa Indonesia dengan label teks berbasis InSet serta rating sebagai weak-label pembanding. InSet mencakup 9,447 ulasan; label akhir terdiri atas 5,342 negatif, 1,019 netral, dan 3,710 positif. Sebanyak 4,360 label InSet berbeda dari pemetaan rating. Pada lima seed, Linear SVM memperoleh mean macro-F1 tertinggi 0,711 ± 0,000, diikuti Logistic Regression 0,709 ± 0,000. Pada seed 42, bootstrap 95% CI model terbaik adalah [0,680, 0,742], sedangkan perbedaannya dengan runner-up tidak signifikan menurut McNemar-Holm (p=0,5666). Hasil menunjukkan bahwa kesimpulan benchmark sensitif terhadap skema label dan baseline linear tetap kompetitif.
Pengaruh Kualitas Pelayanan dan Kemudahan Transaksi terhadap Keputusan Pembelian secara Offline (Studi Kasus pada Konsumen Kios Kuliner Rusunawa KS Tubun) Destiny Hartanti Rosadi; Imas Chandra Pratiwi; Nidia Sofa; Hana Nurdina; Haris Satria Putra
Seminar Nasional Riset Terapan Vol. 14 No. 01 (2025): SNRT XIV TAHUN 2025
Publisher : Administrasi Niaga Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The decrease in offline purchasing activity at the Rusunawa KS Tubun culinary kiosk poses a challenge for management in enhancing the residents' economic situation. This study analyzes the impact of service quality and transaction ease on offline purchasing decisions among consumers at the Rusunawa KS Tubun culinary kiosk. This study employs a quantitative research method utilizing Partial Least Squares-Structural Equation Modeling (PLS-SEM) analysis. A total of 130 respondents were obtained using simple random sampling. The findings indicate that service quality positively and significantly influences offline purchasing decisions. Additionally, the ease of transaction significantly impacts offline food purchasing decisions. The model's R-square value of 0.643 suggests that the contribution of both variables to explaining offline purchasing decisions falls within the moderate to strong range. This finding highlights the significance of transaction ease in shaping an individual's decision during offline purchases.
Co-Authors Destiny Hartanti Rosadi Haris Satria Putra Imas Chandra Pratiwi Kurniasari, Ratri Nidia Sofa Restu Jati Saputro