RANCANG BANGUN CHATBOT VIRTUAL CARE BERBASIS WEB UNTUK GANGGUAN PENCERNAAN GASTRITIS DI LINGKUNGAN FAKULTAS TEKNIK, UPN “VETERAN” JAKARTA

Naifa Nawal Attamimi, . (2025) RANCANG BANGUN CHATBOT VIRTUAL CARE BERBASIS WEB UNTUK GANGGUAN PENCERNAAN GASTRITIS DI LINGKUNGAN FAKULTAS TEKNIK, UPN “VETERAN” JAKARTA. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.

[img] Text
ABSTRAK.pdf

Download (249kB)
[img] Text
AWAL.pdf

Download (1MB)
[img] Text
BAB 1.pdf
Restricted to Repository UPNVJ Only

Download (334kB)
[img] Text
BAB 2.pdf
Restricted to Repository UPNVJ Only

Download (414kB)
[img] Text
BAB 3.pdf
Restricted to Repository UPNVJ Only

Download (696kB)
[img] Text
BAB 4.pdf
Restricted to Repository UPNVJ Only

Download (1MB)
[img] Text
BAB 5.pdf

Download (290kB)
[img] Text
DAFTAR PUSTAKA.pdf

Download (278kB)
[img] Text
DAFTAR RIWAYAT HIDUP.pdf
Restricted to Repository UPNVJ Only

Download (148kB)
[img] Text
LAMPIRAN.pdf
Restricted to Repository UPNVJ Only

Download (2MB)
[img] Text
HASIL PLAGIARISME.pdf
Restricted to Repository staff only

Download (14MB)
[img] Text
ARTIKEL KI.pdf
Restricted to Repository staff only

Download (249kB)

Abstract

The evolution of information technology has given rise to innovative artificial intelligence-based medical services, one of which is the use of chatbots. Virtual Care is a web-based chatbot that serves as a support system for early diagnosis of gastritis, enhancing the accessibility of healthcare services. The method used is Hybrid Case-Based Reasoning with symptom weighting, integrated into a Python-Flask and PostgreSQL-based application. Data was obtained through initial observations and trials involving 100 student respondents at the National Development University Veteran Jakarta. Evaluation was conducted from a technical perspective through load testing using Locust, and from a non-technical perspective through a user satisfaction questionnaire. The research results showed that the chatbot was able to respond in less than one minute with a 100% success rate in 17,179 simulated requests, and maintained a stable average load of 19.07 requests per second. From a non-technical perspective, more than 80% of respondents expressed satisfaction with the ease of access, language style, and supporting features such as self-assessment and recommendations for nearby healthcare facilities. Thus, the virtual care chatbot has proven effective as an initial screening tool, enhancing the user experience in web-based medical services, and has the potential for further development with additional features and broader disease coverage.

Item Type: Thesis (Skripsi)
Additional Information: [No. Panggil: 2110314096] [Pembimbing 1: Fajar Rahayu Ikhwannul Mariati] [Pembimbing 2: Muhamad Alif Razi] [Penguji 1: Ayu Mika Sherila] [Penguji 2: Achmad Zuchriadi]
Uncontrolled Keywords: Chatbot; Flask; Hybrid Case-Based; Healthcare; PostgreSQL
Subjects: T Technology > T Technology (General)
Divisions: Fakultas Teknik > Program Studi Teknik Elektro (S1)
Depositing User: NAIFA NAWAL ATTAMIMI
Date Deposited: 17 Dec 2025 06:34
Last Modified: 17 Dec 2025 06:34
URI: http://repository.upnvj.ac.id/id/eprint/40878

Actions (login required)

View Item View Item