SISTEM PREDIKSI PENYAKIT TUBERKULOSIS BERBASIS WEB DENGAN MENGGUNAKAN ALGORITMA RANDOM FOREST PADA PUSKESMAS PASAR MINGGU

Rio Brian, . (2026) SISTEM PREDIKSI PENYAKIT TUBERKULOSIS BERBASIS WEB DENGAN MENGGUNAKAN ALGORITMA RANDOM FOREST PADA PUSKESMAS PASAR MINGGU. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.

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Abstract

Tuberculosis (TB) is an infectious disease that remains a major global health problem, including in Indonesia, which ranks among the five countries with the highest TB cases worldwide. The high number of TB cases in South Jakarta, particularly in the Pasar Minggu Community Health Center area, indicates the need for innovative approaches to support early detection. This study aims to design a web-based Tuberculosis prediction system and to evaluate the performance of a prediction model using the Random Forest algorithm. The data used in this study consist of initial medical records of TB patients from 2023–2024 obtained from the Pasar Minggu Community Health Center. System development was carried out using the Waterfall method, which includes the stages of requirements analysis, system design, implementation, and testing. The Random Forest algorithm was applied to learn patterns from patient data and to build a prediction model based on available health attributes. The web-based system was developed using the Laravel framework to enable automated and integrated prediction processes. The results show that the Random Forest model achieved an accuracy of 96%, indicating good predictive performance. This system is expected to support early identification of potential TB cases and assist healthcare workers in making initial clinical decisions.

Item Type:	Thesis (Skripsi)
Additional Information:	[No.Panggil: 2110512080 [Pembimbing 1: Andhika Octa Indarso [Pembimbing 2: Iin Ernawati [Penguji 1: Catur Nugrahaeni Puspita Dewi [Penguji 2: Nindy Irzavika]
Uncontrolled Keywords:	tuberculosis, machine learning, random forest, prediction, waterfall
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software
Divisions:	Fakultas Ilmu Komputer > Program Studi Sistem Informasi (S1)
Depositing User:	RIO BRIAN
Date Deposited:	30 Mar 2026 02:57
Last Modified:	30 Mar 2026 02:57
URI:	http://repository.upnvj.ac.id/id/eprint/42571

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