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Analysis of ChatGPT Adoption using the UTAUT Model Galantry, Lisa Amelia; Tanaamah, Andeka Rocky
Sistemasi: Jurnal Sistem Informasi Vol 13, No 3 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i3.4124

Abstract

In the current digital era with information technology is developing rapidly in various fields. Especially in all human work that requires working quickly with maximum results. many innovations have emerged, one that currently popular is Artificial Intelligence (AI). One of the popular AI currently is ChatGPT, with many of ChatGPT's users, including students. This research contains what factors that influence interest in using ChatGPT, especially among students, with a case study focusing on undergraduate students of Information Systems at Satya Wacana University. The aim is to identify the factors influencing students in using ChatGPT for both learning and daily activities, The Unified Theory of Acceptance and Use of Technology (UTAUT) model is being used in this study. The results of this research show that the acceptance of ChatGPT among Undergraduate Students of Information Systems at Satya Wacana Christian University. Performance expectancy and Facilitating conditions are factors that influence the intention to use ChatGPT. Then there is behavioral intention shows that the intention to use also influences user behavior.
Tabel Partisi Pada STARS: Konsep Dan Evaluasi (Studi Kasus STARS UKSW) Boymau, Infraim Oktofianus; Tanaem, Penidas Fiodinggo; Tanaamah, Andeka Rocky
Jurnal Informatika: Jurnal Pengembangan IT Vol 8, No 2 (2023)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v8i2.4753

Abstract

Database performance is one of the main components in supporting the sustainability of a system, in this case, STARS. In the system context, data will usually be collected into a database. Tied to the data collection process, this really affects the performance of a system as a whole, in this case when executing a query to get a return of the execution results, because the performance of the database itself will be affected by the amount of data available. One way to improve the performance of the database is to use the partition table concept. Thus, in this research a design and evaluation of the partition table will be carried out which will then be applied to the SWCU STARS database. This research focuses more on the use of vertical partitions and list partitions by utilizing PostgreSQL version 14. The stages used in this study. These stages include data collection, partition design, technical partition, testing and implementation. The results of this study indicate that partition tables have better performance than non-partition tables. Judging from some of the sql syntax, namely update, delete and select, while insert has poor performance for partition tables compared to non-partition tables
Evaluation of Fintech Use Using Methods Technology Acceptance Model (TAM) Jefdy Bawala, Demianus Softer; Tanaamah, Andeka Rocky
Jurnal Indonesia Sosial Teknologi Vol. 5 No. 8 (2024): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v5i8.1329

Abstract

The rapid increase in the use of technology, especially finance (fintech) in recent years has changed the way we conduct financial transactions with digital payment systems. However, the acceptance and adoption of this technology are still a concern for researchers and practitioners in this field. This study aims to evaluate the use of fintech in the context of digital payments by applying the Technology Acceptance Model (TAM) method version 2 where the TAM model will be used to measure and analyze the factors that influence user acceptance of the use of fintech in digital payments. Through this research, it is hoped that a better understanding can be obtained of the factors that influence user acceptance of fintech in digital payments, especially for the benefit of further development. The approach used in this research is quantitative by using a questionnaire as a data collection tool. Respondents for this study were selected from groups of users of digital payment applications such as OVO and Gopay.
Technology Acceptance Model (TAM) for Evaluating Acceptance Pega Application at PT. Sinar Mas Insurance Policy Services Division Dessilomba, Geofiton Ardelan; Tanaamah, Andeka Rocky
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 5 No 1 (2021): February 2021
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (635.225 KB) | DOI: 10.29407/intensif.v5i1.14961

Abstract

This study describes and predicts how users accept the implemented technology. This research uses a qualitative method approach. Data collection was carried out by interviewing three employees of the Policy Services Division of PT Asuransi Sinar Mas. Researchers researched in March 2020. The data obtained were then processed through data reduction, data presentation, and description conclusions. The results showed that employees in the company could accept technology because they perceive ease of use and usability. The emergence of a positive attitude towards the use of technology impacts the high interest in technology use behavior to increase the actual use of technology. The positive attitude of users towards technology is indicated by the satisfaction of using technology from employees. Researchers can measure technology acceptance based on perceived ease of use, perceived usefulness, attitudes of using technology, interest in behavior using technology, and actual behavior using technology. It is necessary to improve the actual conduct of employees using technology that can improve company performance.
Co-Authors Agustinus Fritz Wijaya Aldi Herindra Lasso Alz Danny Wowor Annanda Joti Sutejo Anthony Anthony Arungla'bi, Valentino Rico Banunaek, Frids Edward Binbaryas Isna Aski Koreri Rumabar Boymau, Infraim Oktofianus Breindnaldo Vichario Tulus Brian Farrel Hermanto Chandra, Kezia Trifena Charitas Fibriani Christ Rudianto Christopher Hansel Kuntadihardja David Setya Wardhana Deni Dwi Saputra Dessilomba, Geofiton Ardelan Dharmaputra Palekahelu Dhea Arvie Dwi Hosanna Bangkalang Dwi Kusuma, Serdin Elvin Djami Fransiskus, Ariel Ade Friska Juliana Indira Galantry, Lisa Amelia Gogo Krisatyo Gresensia Alvionita Lamba Handika, Daya Hanna Prillysca Chernovita Harold Michael Rumere Herijanto, Alfredo Ho Ara, Umbu Infraim Oktofianus Boymau Janet Livia Tuwanakotta Jasson Prestiliano Jefdy Bawala, Demianus Softer Johan Jimmy Carter Tambotoh Jonathan Jeremi Abraham Tidajoh Jonathan Saputra Juen Ruth Djapandjatay Kaho, Monica Louisa Ratu Kristoko Dwi Hartomo Lembonunu, Melisa Prisilia Lolowang Leonardo Johanis Luis, Michael Fernando Magdalena Ariance Ineke Pakereng Mangundap, Astrella Christenia Clara Mario Andre Giovanno Wattimena Martin, Jodi Maylinda, Sarah Ayu Melkior N.N. Sitokdana Meylinda Ayu Pratiwi Michael Bezaleel Wenas Moleong, Gery Molly, Bertho Monice Frensca Johannis Neil Semuel Rupidara Ni Made Grace Advendi NOVIAN STEVEN FARERA MESSAKH Novitasari Butarbutar Octavia, Debora Octavianus Dicky Wahyudi Paranggi, Rambu Raina Wangi Pawulung Wulang Penidas Fodinggo Tanaem Pohan, Elsen Elian pratama, raihan daffa arya Purwanto, Dama Septhian Retantyo Wardoyo Rio Febriyanto Satria Adi Negara, Satria Adi Negara Senna Kristiawan Gouwnalan Shania Arum Destyarini Siswanto, Febiola Inanta Stefan Fernando Stefanie G.N.L. Worang Suroyo Suroyo T. Arie Setiawan Prasida Titi Susilowati Prabawa Vincent Sanjaya Wibowo, Aurelius Kevin Wiyono, Septi Yizreel Ratu Kaho Yokelin Tokoro