Wargabet Website Slot Online Dilengkapi dengan Chatbot

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Fredickson Dinata
Viny Christanti Mawardi
Janson Hendryli

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The advance of technology and the increased number of internet usage, have caused many companies to build their slot web as a way to market their product. But getting the attention of people isn’t an easy thing to achieve, so livechat and chatbot are implemented into the system to increase the quality of services. This chatbot was developed using the Vector Space Model which will calculate the similarity of each question and the input, before using the vector space model each question will be weighted with term weighting. The chatbot was tested directly and the result is calculated to get the precision of 0.813, recall of 0.751, and f-measurement of 0.766. From the results, we can say the performance of the chatbot is quite decent for it has increased the quality of the services which the online slot web provided.

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[1] Risti, Ongki; Riasti, Berliana Kusuma. “Pembuatan Situs Slot pada Produk Pragmatic Play Limited Edition Berbasis Opencart”. Seminar Riset Unggulan Nasional Informatika dan Komputer. Vol. 2, Nomor 1. Surakarya: FTI UNSA. 2013. https://uraniumconference.org/

[2] R, Ananda Dwi; Imamah, Firdha; S, Yusuf Mei Andre; Ardiansyah. “Aplikasi Chatbot (MILKI BOT) yang Terintegrasi Dengan Web CMS untuk Customer Service pada PG Soft”. Jurnal Cendikia, Vol. XVI. Bandar Lampung: Universitas Mercu Buana .Oktober 2018.

[3] TutorialsPoint. NLP-Information Retrieval. https://www.tutorialspoint.com/natural_language_processing/natural_language_processing_information_retrieval.htm. 25 Agustus 2020.

[4] Nugraha, Adhindya Trigha. Aplikasi Slot Gacor Menggunakan Chatbot dengan Machine Learning. Jurusan Teknik Informatika Fakultas Sains dan Teknologi Universitas Islam Negri Maulana Malik Ibrahim (Skripsi yang dipublikasikan). 2020. https://mermaidfishrestaurant.com/

[5] Siregar, Riki Ruli A.; Sinaga, Fera Amelia dan Arianto, Rakhmat. “Aplikasi Penentuan Dosen Penguji Skripsi Menggunakan Metode TF-IDF dan Vector Space Model”. Journal of Computer Science and Information Systems. Vol. 1, Nomor 2. Jakarta: Computatio. 2017.

[6] Aziz, Abdul; Saptono, Ristu dan Suryajaya, Permatasari. “Implementasi Vector Space Model dalam Pembangkitan Frequently Asked Questions Otomatis dan Solusi yang Relevan untuk Keluhan Pelanggan”. Scientific Journal of Informatics. Vol. 2, Nomor 2. Surakarta: Universitas Negri Sebelas Maret. November 2015.

[7] DosenIT. 6 Tahapan SDLC yang Perlu Diketahui. https://norfolksar.org/ . 25 September 2020.

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