Farid Widhy Asee, . (2025) IMPLEMENTASI CHATBOT BERBASIS NLP PADA WEBSITE STUDI KASUS: KLINIK UNIQKIDS AUTISMA. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
|
Text
ABSTRAK.pdf Download (278kB) |
|
|
Text
AWAL.pdf Download (682kB) |
|
|
Text
BAB 1.pdf Restricted to Repository UPNVJ Only Download (353kB) |
|
|
Text
BAB 2.pdf Restricted to Repository UPNVJ Only Download (792kB) |
|
|
Text
BAB 3.pdf Restricted to Repository UPNVJ Only Download (733kB) |
|
|
Text
BAB 4.pdf Restricted to Repository UPNVJ Only Download (1MB) |
|
|
Text
BAB 5.pdf Download (321kB) |
|
|
Text
DAFTAR PUSTAKA.pdf Download (291kB) |
|
|
Text
LAMPIRAN.pdf Restricted to Repository UPNVJ Only Download (1MB) |
|
|
Text
RIWAYAT HIDUP.pdf Restricted to Repository UPNVJ Only Download (122kB) |
|
|
Text
HASIL PLAGIARISME.pdf Restricted to Repository staff only Download (18MB) |
|
|
Text
ARTIKEL KI.pdf Restricted to Repository staff only Download (573kB) |
Abstract
The limited number of professionals at Uniqkids Autism Clinic has led to a high volume of repetitive communication and restricted service availability outside operational hours. This study aims to develop a chatbot based on Natural Language Processing (NLP) to provide fast, accurate, and automated information related to developmental disorders such as Autism Spectrum Disorder (ASD). The IndoBERT model is used with an intent classification approach. The system was developed using the waterfall method, covering requirement analysis, system design, implementation, and testing. The chatbot is integrated into the clinic's website using Flask for the backend and HTML, CSS, and JavaScript for the frontend. The dataset was expanded using the Easy Data Augmentation (EDA) technique to increase input pattern variations. Testing was conducted through Blackbox Testing, Whitebox Testing, and User Acceptance Testing (UAT). Evaluation results show an intent classification accuracy of 98.89% and a user satisfaction rate of 80.75%. The chatbot effectively provides responsive 24-hour information services, reduces staff workload, and improves service efficiency.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 2110511083] [Pembimbing: Hamonangan Kinantan Prabu] [Penguji 1: Neny Rosmawarni] [Penguji 2: I Wayan Rangga Pinastawa] |
| Uncontrolled Keywords: | Chatbot, Natural Language Processing, IndoBERT, Autism Spectrum Disorder, Uniqkids Clinic, Intent Classification, Website. |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Informatika (S1) |
| Depositing User: | FARID WIDHY ASEE |
| Date Deposited: | 17 Mar 2026 02:07 |
| Last Modified: | 17 Mar 2026 02:07 |
| URI: | http://repository.upnvj.ac.id/id/eprint/39565 |
Actions (login required)
![]() |
View Item |
