INTEGRASI DASHBOARD PERFORMA VOLVO BUSES DENGAN API (APPLICATION PROGGRAMMING INTERFACE) VOLVO CONNECT MENGGUNAKAN MICROSOFT POWER BI

HANIEF BUANA PUSAKA, . (2026) INTEGRASI DASHBOARD PERFORMA VOLVO BUSES DENGAN API (APPLICATION PROGGRAMMING INTERFACE) VOLVO CONNECT MENGGUNAKAN MICROSOFT POWER BI. Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

Penelitian ini membahas tentang integrasi antara dashboard performa Volvo Buses dengan API (Application Proggramming Interface) Volvo Connect menggunakan Microsoft Power Business Intelligence (BI). Penelitian ini dilakukan untuk mempermudah proses pemantauan data performa bus secara real-time dan meningkatkan efisiensi analisis data operasional tanpa harus melakukan pengolahan data secara manual. Metode yang di gunakan pada penelitian ini adalah metode deskriptif, dengan tahapan meliputi analisis kebutuhan, perancangan integrasi API, implementasi, serta pengujian dashboard pada Power BI. Data yang di peroleh dari API Volvo Connect berupa parameter performa kendaraan seperti konsumsi bahan bakar, jarak tempuh, dan waktu operasional, yang kemudian diolah dan divisualisasikan dalam bentuk dashboard interaktif. Hasil penelitian menunjukkan bahwa integrasi antara API Volvo Connect dan Power BI dapat menampilkan data performa secara otomatis dan akurat, sehingga membantu pihak manajemen dalam pengambilan keputusan berbasis data. ***** This research discusses the integration of the Volvo Buses Performance dashboard with the Volvo Connect Application Proggramming Interface (API) using Microsoft Power Business Intelligence (BI). This research was conducted to simplify the process of monitoring bus performance data in real-time and to improve the efficiency of operational data analysis without the need for manual data processing. The method used in this research is a system development approach, which includes stages such as requirements analysis, API integration design, implementation, and dashboard testing in Power BI. The data obtained from the Volvo Connect API includes vehicle performance parameters such as fuel consumption, mileage, and operating time, which are then processed and visualized in an interactive dashboard. The results of the study show that the integration between the Volvo Connect API and Power BI can automatically and accurately display performance data, thereby assiting management in making data-driven decisions.

Item Type:	Thesis (Sarjana)
Additional Information:	1). Dr. Phil. Imam Mahir, M.Pd. ; 2). Dr. Eng. Agung Premono, M.T.
Subjects:	Sains > Matematika > Software, Sistem Informasi Komputer Teknologi dan Ilmu Terapan > Teknik Mesin, Mekanika Teknik Teknologi dan Ilmu Terapan > Otomotif, Astronotika Teknologi dan Ilmu Terapan > Teknik Komputer
Divisions:	FT > S1 Pendidikan Teknik Mesin
Depositing User:	Hanief Buana Pusaka .
Date Deposited:	05 Feb 2026 09:14
Last Modified:	05 Feb 2026 09:14
URI:	http://repository.unj.ac.id/id/eprint/64303

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