Article Per Year (5 Year)
p-Index From 2020 - 2025
3.266
P-Index
This Author published in this journals
All Journal JUITA : Jurnal Informatika Journal of Information System Swabumi (Suara Wawasan Sukabumi) : Ilmu Komputer, Manajemen, dan Sosial Paradigma Jurnal Pilar Nusa Mandiri Informatics for Educators and Professional : Journal of Informatics J-SAKTI (Jurnal Sains Komputer dan Informatika) IJISTECH (International Journal Of Information System & Technology) Jurnal Riset Informatika REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer IJISTECH Jurnal AbdiMas Nusa Mandiri J-SAKTI (Jurnal Sains Komputer dan Informatika) JUSTIN (Jurnal Sistem dan Teknologi Informasi) Jurnal Insan Digital Transformation Technology (Digitech) J-Icon : Jurnal Komputer dan Informatika Jurnal Informatika dan Bisnis Pengabdian Kepada Masyarakat Indonesia SEAN (ABDIMAS SEAN)
Fintri Indriyani
Universitas Bina Sarana Informatika
Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Library & Information Science Mathematics Nursing Physics Public Health Social Sciences Other

Published : 29 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : J-Icon : Jurnal Komputer dan Informatika

 1 
Analisa Minat Fitur Paylater Pada Aplikasi Shopee Menggunakan Metode UTAUT 2 Di Kalangan Remaja Indriyani, Fintri; Agam, Alfadh Saifullah
J-Icon : Jurnal Komputer dan Informatika Vol 12 No 1 (2024): Maret 2024
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v12i1.14933

Abstract

Technological development is something that cannot be avoided, technology is used to live everyday life starting from studying, communicating, working and shopping. The technology that is currently developing in Indonesia is Financial Technology (Fintech), therefore currently there are many payment options ranging from using paper money to electronic payments. One of the fintech currently developing in Indonesia is paylater, which is a service similar to an online loan without a credit card that can allow consumers to make payments in one go or in installments. The development of E-commerce is currently increasingly rapid, bringing major changes to teenagers' lifestyles, this has an impact on users when checking out payment transactions, including other costs that are not transparent and the process of paying off bills is difficult before waiting for the payment due date each month. The aim of this research is to find out how interested the use of paylater is among teenagers, by adopting the Unified Theory of Acceptance and Use of Technology (UTAUT2) model. The research method used is a quantitative method using a survey method via an online questionnaire involving a total of 65 respondents. This research uses a Likert scale approach and sampling uses the Slovin formula calculation method. The data obtained was analyzed using the Partial Least Square (PLS) method using SmartPLS software. The results of the tests carried out indicate that the variable perceived trust in the UTAUT2 partially has a positive and significant effect on the decision to use paylater by teenagers. Then the hypotheses that were rejected were the Hedonic Motivation, Habit, and Price Value on the UTAUT2 variables.
USE OF UI/X ON WEBSITE RECOMMENDATION OF LAPTOP SPECIFICATIONS WITH K-MEANS ALGORITHM Susliansyah, Susliansyah; Sumarno, Heny; Priyono, Hendro; Maulida, Linda; Indriyani, Fintri
J-Icon : Jurnal Komputer dan Informatika Vol 13 No 1 (2025): March 2025
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v13i1.20552

Abstract

The process of choosing a laptop that suits their needs is often a challenge for consumers because of the variety of specifications and features offered. Many consumers find it difficult to make the right choice, especially because the information available is often not well structured. In addition, each individual's needs vary, ranging from use for daily productivity to special needs such as gaming or graphic design. Therefore, this study aims to develop a prototype design of a laptop recommendation system using the K-Means clustering algorithm, which is able to group laptop specification data into certain clusters based on the similarity of features. A total of 25 laptop specification data were used in this analysis, with the main parameters being RAM capacity and SSD capacity. The data was processed using the data mining method, and the K-Means algorithm was applied to perform grouping. The optimal number of clusters is determined using the elbow method to ensure accurate and relevant results. The results of the grouping show that laptops can be classified into specific groups that represent consumer needs, such as use for daily productivity or high-load work. The prototype design of this system was created using Figma to visualize an intuitive and easy-to-use user interface (UI). With this prototype design, it is hoped that it can be a reference in the development of a system that makes it easier for consumers to choose a laptop that suits their preferences and needs.
Co-Authors Agam, Alfadh Saifullah Agra Syahputra Ali Haidir Anisa Rahma, Anisa Annisa Dwi Wijayanti Eni Irfiani Fatmah Citra R Firmansyah, Naufal Hendro Priyon Hendro Priyono Heny Sumarno, Heny I Gusti Bagus Wiksuana Indra Riyana Rahadjeng Khoirunnisa, Tasya Ramadhinta Kurniasih R Sihite Linda Maulida Maulida, Linda Muhammad Fahmi Julianto Mukhlis Fahmi Asidiqi Nining Suryani Novian Putra Utama Priyono, Hendro Purwoko, Agus S Susliansyah Sanjaya, Yanuar Rizki Susliansyah, Susliansyah Syaiful Anwar Tommi Alfian Armawan Sandi Wahyu, Abdullah Guntur Wahyu, Abdullah Guntur Wahyutama Fitri Hidayat Wawan Nugroho Yahdi Kusnadi, Yahdi Yesni Malau