Azzuzan, Muhammad Azka (2024) Implementasi chatbot pada aplikasi telegram untuk layanan nasabah bank Sumut menggunakan metode boyer moore. Bachelor thesis, Universitas Pelita Harapan.
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Abstract
Teknologi yang sangat berkembang pesat ini sangat banyak membantu aktivitas
masyarakat terutama pada bidang bisnis. Bank Sumut adalah sebuah perusahaan
daerah yang bergerak di bidang bisnis perbankan yang memiliki berbagai macam
produk atau layanan guna untuk menarik banyak nasabah. Saat ini nasabah
memiliki masalah yaitu kurangnya pusat informasi terkait produk atau layanan
Bank Sumut sehingga salah satu cara menyelesaikan permasalahan yang dialami
oleh nasabah tersebut adalah menggunakan chatbot yang diaplikasikan ke
telegram. chatbot adalah sebuah program komputer berbasis AI yang dapat
mensimulasikan percakapan layaknya manusia. Tugas akhir ini bertujuan untuk
merancang dan mengimplementasikan sebuah sistem yang dapat membantu
nasabah untuk mendapatkan informasi yang lebih interaktif yaitu Layanan chatbot
Bank Sumut. Layanan chatbot Bank Sumut dikembangkan pada aplikasi telegram
dengan menggunakan bahasa pemrograman Python dengan metode Boyer Moore.
Layanan chatbot Bank Sumut menggunakan dataset yang dirancang oleh peneliti
berupa teks yang akan dijadikan acuan dalam merancang pertanyaan dan jawaban
yang berjumlah sebanyak 96 dataset. Berdasarkan hasil tes pengujian dengan
menggunakan rumus Confusion Matrix dengan model akurasi, maka dihasilkan
nilai akurasi pada kategori “kredit” sebesar 87%, “buka rekening” sebesar 82.6%,
“nasabah prioritas” sebesar 100%, “channel pembayaran” sebesar 100% maka
tingkat akurasi rata-rata mencapai 92.4%. Maka dari itu Layanan chatbot Bank
Sumut berhasil memproses seluruh pertanyaan nasabah dengan jawaban yang sesuai rancangan sistem./This rapidly developing technology has helped a lot in people's activities,
especially in the business sector. Bank Sumut is a regional company engaged in
the banking business which has a variety of products or services in order to
attract many customers. Currently, customers have a problem, namely the lack of
an information center regarding North Sumatra Bank products or services, so one
way to solve the problems experienced by these customers is to use a chatbot that
is applied to telegram. Chatbot is an AI-based computer program that can
simulate human-like conversations. This final assignment aims to design and
implement a system that can help customers to obtain more interactive
information, namely the North Sumatra Bank Chatbot Service. The North Sumatra
Bank Chatbot service was developed on the telegram application using the Python
programming language with the Boyer Moore method. The North Sumatra Bank
Chatbot service uses a dataset designed by researchers in the form of text which
will be used as a reference in designing questions and answers totaling 96
datasets. Based on the test results using the Confusion Matrix formula with an
accuracy model, the resulting accuracy value in the "credit" category is 87%,
"open account" is 82.6%, "priority customer" is 100%, "payment channel" is
100%. The average accuracy rate reached 92.4%. Therefore, the North Sumatra
Bank Chatbot Service succeeded in processing all customer questions with
answers according to the system design.
Item Type: | Thesis (Bachelor) |
---|---|
Creators: | Creators NIM Email ORCID Azzuzan, Muhammad Azka NIM03082190027 azzuzan@gmail.com UNSPECIFIED |
Contributors: | Contribution Contributors NIDN/NIDK Email Thesis advisor Maulana, Ade NIDN0317049201 ade.maulana@lecturer.uph.edu |
Uncontrolled Keywords: | Chatbot; telegram; produk; layanan; nasabah; bank sumut; boyer moore; confusion matrix; dataset |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | University Subject > Current > Faculty/School - UPH Medan > Business School > Management Current > Faculty/School - UPH Medan > Business School > Management |
Depositing User: | Muhammad Azka Azzuzan |
Date Deposited: | 25 Apr 2025 01:32 |
Last Modified: | 25 Apr 2025 01:32 |
URI: | http://repository.uph.edu/id/eprint/68189 |