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User Acceptance Analysis Dana Application E-Wallet Using UTAUT 2 and UX TAM Meliana, Putri; Mutiah, Nurul; Rahmayuda, Syahru
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 12, No 3 (2023): NOVEMBER
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v12i3.1750

Abstract

DANA is a digital wallet application that has an open platform concept, meaning it can be used on different platforms but is integrated with one another. However, there were complaints that were felt by DANA application users which were conveyed in Google Playstore reviews, namely frequent errors and delays in the transaction process. This is the basis for measuring the level of acceptance of DANA application users based on the user's experience. This research model is an integration of the Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2) model and the User Experience technology Acceptance Model (UX TAM). The data analysis technique used Partial Least Square-Structural Equation Modeling (PLS-SEM) and used SmartPLS 3 tools Data collection was carried out by randomly distributing questionnaires to 100 respondents, namely the Pontianak community with an age range of 15-40 years. Data collection was carried out by distributing questionnaires to 100 respondents, namely the Pontianak community. Of the 21 hypotheses proposed, 10 hypotheses stated there was a relationship between the two variables and the other 11 hypotheses had no relationship. The hypotheses that have an influence are Effort Expectancy on Behavior Intention, Habit on Behavior Intention, Efficiency on Effort Expectancy, Efficiency on Performance Expectancy, Output Quality on Performance Expectancy, Dependability on Habit, Stimulation on Hedonic Motivation, Output Quality on Perceived Usefulness, Dependability on Perceived Ease Of Use, and Behavioral Intention to Use Behavior. The results of the research are in the form of recommendations that are expected to improve the performance of the DANA application.
Pemodelan Sistem Rekomendasi Restoran berdasarkan Preferensi Pengguna dengan Pendekatan Content-Based Filtering Ilhamsyah, Ilhamsyah; Rahmayuda, Syahru; Midyanti, Dwi Marisa; Martha, Shantika
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 10, No 1 (2024): Volume 10 No 1
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v10i1.74008

Abstract

Setiap individu memiliki preferensi makanan yang unik. Karakteristik rasa yang khas dapat memengaruhi seberapa bersedia seseorang membayar untuk hidangan di restoran tertentu. Keterkaitan antara preferensi makanan seseorang dengan karakteristik harga makanan dapat digunakan sebagai faktor penting dalam menentukan rekomendasi restoran. Penelitian ini memodelkan sebuah sistem rekomendasi restoran berdasarkan prefrensi rasa, harga dan rating makan penggunanya sebagai faktor utama dalam mempengaruhi hasil rekomendasi. Analisis data menggunakan 3 atribut yaitu data ulasan restoran, rating dan harga restoran. Teknik scraping dilakukan untuk pengumpulan dataset, adapun jumlah dataset sebanyak 661 data restoran dari hasil scraping. Pengubahan dataset dilakukan dengan proses Pra-Processing yang kemudian dilanjutkan dengan mempelajari model data dengan pendekatan Content-Based Filtering (CBF). Hasil penelitian menunjukkan bahwa rata-rata akurasi yang diberikan sistem rekomendasi yang dibangun adalah 73.33% dari rekomendasi restoran berdasarkan harga dan ulasan.