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All Journal JAM : Jurnal Aplikasi Manajemen JUTEKIN (Jurnal Manajemen Informatika)
David, .
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Engineering

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Pengaruh Brand Image terhadap Perceived Service Quality, Kepuasan, dan Loyalitas David, .; Dewanto, Aryo; Rochman, Fatchur
Jurnal Aplikasi Manajemen Vol. 12 No. 4 (2014)
Publisher : Universitas Brawijaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Abstract

This study aims to examine the influence of brand image on patients'who perceived service quality, satisfaction, and loyalty in outpatient units.This Research conducted on May 2014 was a correlational and quantitative study. The research sample were 109 patients of outpatient units in Ben Mari Hospital Malang. Data were collected by a fivepoint Likert scale questionnaire in which consists of statements about brand image, patients'perceived service quality, satisfaction, and loyalty. The data were analysed by Structural Equation Modeling using Partial Least Squares. The result of the study shows that brand image has a direct and indirect effect on patients'perceived service quality, satisfaction, and loyalty . Brand image has the biggest effect directly on patients'perceived service quality. One of indirect effects of brand image on patient loyalty occurs through patients'perceived service quality and satisfaction. Brand image influences patients'perception on service quality, in turn it infuences patients'satisfaction and loyality. The influence of brand image shows that brand image must be managed by the hospital well and seriously in order to build a positive thought from the patients. Finally, the hospital management image will give the result on patients'acceptance towards the hospital response to their preferences and needs.
ANALISIS SENTIMEN TERHADAP KEYWORD TERTENTU PADA PLATFORM MEDIA SOSIAL X MENGGUNAKAN ALGORITMA NAIVE BAYES david, .; nugraha, agus ramdhani
JUTEKIN (Jurnal Teknik Informatika) Vol 13, No 2 (2025): JUTEKIN
Publisher : LPPM STMIK DCI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51530/jutekin.v13i2.1004

Abstract

Perkembangan teknologi informasi telah mendorong peningkatan interaksi publik di media sosial seperti X (sebelumnya Twitter), tempat berbagai opini dibagikan. Analisis sentimen menjadi pendekatan yang tepat untuk memahami persepsi publik, terutama terhadap isu tertentu yang dicari melalui kata kunci. Penelitian ini mengimplementasikan algoritma Naive Bayes yang dipilih karena kesederhanaan, efisiensi, dan kesesuaiannya untuk klasifikasi teks. Proses yang dilakukan meliputi crawling data berdasarkan keyword, preprocessing teks, ekstraksi fitur dengan Term Frequency – Inverse Document Frequency (TF-IDF), penyeimbangan kelas menggunakan Synthetic Minority Over-sampling Technique (SMOTE), pelatihan model Naive Bayes, dan penyajian hasil dalam bentuk tabel serta grafik. Sistem juga dilengkapi dengan deteksi bot dan penanganan ketidakseimbangan kelas untuk meningkatkan akurasi. Model berhasil mengklasifikasikan sentimen dengan akurasi sekitar 72%. Meskipun performa untuk sentimen netral masih terbatas akibat data latih netral yang sedikit, sistem ini dapat membantu dalam memahami opini publik dan berpotensi dikembangkan lebih lanjut. Kata Kunci: Analisis Sentimen, Keyword, X
Co-Authors Aryo Dewanto Fatchur Rochman Nugraha, Agus Ramdhani