RANCANG BANGUN DASHBOARD DATA PERANGKAT INTERNET OF THINGS BERBASIS FRAMEWORK LARAVEL DENGAN REST API

Aji Supriyatno, . (2025) RANCANG BANGUN DASHBOARD DATA PERANGKAT INTERNET OF THINGS BERBASIS FRAMEWORK LARAVEL DENGAN REST API. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.

[img] Text
ABSTRAK.pdf

Download (311kB)
[img] Text
AWAL.pdf

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

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

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

Download (665kB)
[img] Text
BAB IV.pdf
Restricted to Repository UPNVJ Only

Download (4MB)
[img] Text
BAB V.pdf

Download (498kB)
[img] Text
DAFTAR PUSTAKA.pdf

Download (400kB)
[img] Text
RIWAYAT HIDUP.pdf
Restricted to Repository UPNVJ Only

Download (131kB)
[img] Text
LAMPIRAN.pdf
Restricted to Repository UPNVJ Only

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

Download (13MB)
[img] Text
ARTIKEL KI.pdf
Restricted to Repository staff only

Download (734kB)

Abstract

With the rapid advancement of information technology—particularly the significant growth of Internet of Things (IoT) devices—the need for data acquisition and analysis has become increasingly essential to extract meaningful information from collected IoT device data. This research aims to provide a dashboard that facilitates interpretation and decision-making by developing a system capable of aggregating IoT device data collected by a Single Board Computer (SBC), transmitting it to a server, and visualizing it for easy management. To achieve this goal, the system is built using the Laravel framework, with a REST API serving as the communication bridge between the SBC and the server. In addition to data transmission, the system also includes features on the SBC side to enhance user interaction, such as simplifying the process of connecting the SBC to the internet and executing scripts for reading data from IoT devices. The system was successfully implemented on a server running Ubuntu OS, and testing using the black box method showed a 100% success rate across ten test scenarios. Furthermore, user acceptance testing resulted in an average score of 91.6%, placing it in the "excellent" category.

Item Type: Thesis (Skripsi)
Additional Information: [No.Panggil: 2110512004] [Pembimbing 1: Ridwan Raafi'udin] [Pembimbing 2: I Wayan Widi Pradnyana] [Penguji 1: Tjahjanto] [Penguji 2: Novi Trisman Hadi]
Uncontrolled Keywords: Dashboard, Internet of Things, HTTP, REST API, Laravel
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Fakultas Ilmu Komputer > Program Studi Sistem Informasi (S1)
Depositing User: AJI SUPRIYATNO
Date Deposited: 19 Aug 2025 01:45
Last Modified: 19 Aug 2025 01:45
URI: http://repository.upnvj.ac.id/id/eprint/37683

Actions (login required)

View Item View Item