PREDIKSI PENANGANAN GANGGUAN JARINGAN INTERNET PELANGGAN MENGGUNAKAN REGRESI LINEAR BERGANDA PADA PT. DWI TUNGGAL PUTRA (DTP)

Pangestu Dwi Panggo, . (2025) PREDIKSI PENANGANAN GANGGUAN JARINGAN INTERNET PELANGGAN MENGGUNAKAN REGRESI LINEAR BERGANDA PADA PT. DWI TUNGGAL PUTRA (DTP). Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.

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Abstract

Internet network disruptions can hinder work productivity both locally and globally. PT. Dwi Tunggal Putra (DTP), as a provider of internet services, data centers, and VSAT in Indonesia, frequently faces issues such as link disruptions, access problems, satellite migration, maintenance, and password reset requests. This study proposes a solution by applying multiple linear regression to predict the duration of customer network disruption handling. The data used in this research consists of customer network disruption reports from PT. Dwi Tunggal Putra during the 2023–2024 period, with five main variables affecting the handling time. Model evaluation results show that the prediction accuracy is very good, with a Mean Absolute Error (MAE) of 0.1944, a Mean Squared Error (MSE) of 0.0567, and a Root Mean Squared Error (RMSE) of 0.2381. This indicates that the developed multiple linear regression model is feasible as a predictive tool for handling duration of network disruptions at PT. Dwi Tunggal Putra. Significant influencing variables include service, subject, priority, and final case, which affect the duration category from low to high levels. This study contributes an effective prediction model that can serve as a basis for decision-making to improve customer service. Future development recommendations include exploring other predictive models, developing a user interface, and expanding the dataset to enhance prediction accuracy.

Item Type:	Thesis (Skripsi)
Additional Information:	[No.Panggil: 2110512034] [Pembimbing 1: Nur Hafifah Matondang] [Pembimbing 2: Nindy Irzavika] [Penguji 1: I Wayan Widi Pradnyana] [Penguji 2: M.Octaviano Pratama]
Uncontrolled Keywords:	Internet network disruption, Multiple linear regression method, Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), PT. Dwi Tunggal Putra
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:	PANGESTU DWI PANGGO
Date Deposited:	11 Aug 2025 01:55
Last Modified:	11 Aug 2025 01:55
URI:	http://repository.upnvj.ac.id/id/eprint/37387

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