Penerapan Uji-T Independen untuk Sistem Chatbot Gaotek
Main Article Content
Artificial intelligence has become a primary focus in the development of computer systems that mimic human brain functions. One application is the development of Chatbots to assist in various fields. In this context, the research aims to evaluate the effectiveness of two types of Chatbots, namely Chatbot Gemini and ChatGPT, in providing customer service at GAOTek Inc. Through the application of Independent T-tests, the research findings indicate a significant difference in the performance of the two Chatbots. ChatGPT exhibits a lower average score compared to Chatbot Gemini, demonstrating significant efficiency superiority. The Independent T-test statistical results show the rejection of the null hypothesis, indicating a significant difference between the two groups. The alternative hypothesis is accepted, confirming a distinction in the performance of the two Chatbots. Thus, ChatGPT is declared as the most efficient Chatbot in the context of customer service at GAOTek Inc. These results are expected to provide valuable insights for the development and implementation of Chatbots in enhancing customer service effectiveness across various industries, particularly at GAOTek Inc.
cholis Anggoro, Nur, & Akbar, Mutaqin. (2023). Chatbot Pemilihan Makanan dan Minuman Berdasarkan Kalori menggunakan Natural Language Processing. Informatics and Artificial Intelligence Journal, 1(1), 29–38.
Fauzy, Marwan Noor, & Kusrini, Kusrini. (2019). Chatbot menggunakan metode fuzzy string matching sebagai virtual assistant pada pusat layanan informasi akademik. Jurnal Informa: Jurnal Penelitian Dan Pengabdian Masyarakat, 5(1), 61–67.
Halim, Chanda, & Prasetyo, Hendri. (2018). Penerapan Artificial Intelligence dalam Computer Aided Instructure (CAI). Jurnal Sistem Cerdas, 1(1), 50–57. https://doi.org/10.37396/jsc.v1i1.6.
Hormansyah, Dhebys Suryani, & Utama, Yoga Putera. (2018). Aplikasi chatbot berbasis web pada sistem informasi layanan publik kesehatan di malang dengan menggunakan metode tf-idf. Jurnal Informatika Polinema, 4(3), 224–228.
Imamah, Firdha, & Dores, Ardiansyah. (2018). Aplikasi chatbot (milki bot) yang terintegrasi dengan web CMS untuk customer service pada UKM MINSU. Jurnal Cendikia, 16(2 Oktober), 100–106.
Iswandi, Ahmad. (2018). Implementasi Chatbot Pada Order Management. Implementasi Chatbot Pada Order Management, 105.
Karnyoto, Andrea Stevens. (2014). Perancangan Dan Pengembangan Sistem Informasi Inventarisasi Menggunakan Delphi. Journal Dynamic Saint, 1(1). https://doi.org/10.47178/dynamicsaint.v1i1.125.
Martono, Ricky. (2019). Analisis Produktivitas dan Efisiensi (1st editio). Jakarta: Gramedia.
Mulyana, Dadang Iskandar, Rowis, Muhammad Arfan Irsyad, Iskandar, Dedi, & Jaya, Ari Surya. (2023). Implementasi E-Raport Berbasis Chatbot Studi Kasus di SMA Dipoenogoro 2 Jakarta. Jurnal Pengabdian Nasional (JPN) Indonesia, 4(1), 153–163.
Rkt, M. Ferdiansah. (2021). Sistem informasi geografis pariwisata kota medan menggunakan metode Algoritma Dijkstra. Universitas Islam Negeri Sumatera Utara.
Susanto, Erliyan Redy. (2021). Sistem Informasi Geografis (GIS) Tempat Wisata di Kabupaten Tanggamus. Jurnal Teknologi Dan Sistem Informasi, 2(3), 125–135.
Syahwal, Rayzaldy, & Agustina, Nani. (2019). Sistem Informasi Manajemen Administrasi Pelatihan Pada PT. Disi Solusi Mandiri Bekasi. INFORMATICS FOR EDUCATORS AND PROFESSIONAL: Journal of Informatics, 4(1), 11–22.
Tannady, Hendy, & Munardi, Wahyu Eka. (2017). Pengamatan Waktu Pelayanan Operator Pintu Tol dengan Uji Hipotesis Analysis of Variance (ANOVA)(Studi Kasus: Gerbang Tol Ancol Timur, Jakarta Utara. JIEMS (Journal of Industrial Engineering and Management Systems), 8(1).
Windows, Microsoft, Os, Mac, Accenture, et al. (2014). Pengujian Hipotesis. Uma Ética Para Quantos?, XXXIII(2), 81–87.
