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All Journal Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Firman Noor Hasan
Universitas Muhammadiyah Prof. Dr. Hamka, Indonesia
Computer Science & IT Control & Systems Engineering

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Visualisasi Dashboard Business Intelligence Untuk Analisa Ketersediaan Tenaga Kesehatan Pada Saat Covid-19 Di Jakarta Menggunakan Tableau Panji Islami Anakku; E Erizal; Firman Noor Hasan
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 4, No 4 (2023): Edisi Oktober
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v4i4.251

Abstract

The Covid-19 pandemic in 2020 witnessed a significant increase in cases worldwide, claiming numerous lives. Despite having a substantial number of healthcare workers in several hospitals in DKI Jakarta, there remained a shortage of healthcare personnel during the Covid-19 outbreak. Consequently, there were still many deaths attributed to both diseases. This study aims to analyze self-data visualization from opendatajakarta in the form of a dashboard and utilize the storytelling feature available in Tableau for visualization. The research aims to determine the number of healthcare workers during the major Covid-19 outbreak in DKI Jakarta. To achieve this, the study employs a method called Business Intelligence using the interactive dashboard options provided by Tableau as a decision-making tool, which will be transformed into visualizations and combined into an information dashboard. The research obtained results in the form of a Business Intelligence dashboard displaying the number of healthcare workers in DKI Jakarta.
Implementasi Business Intelligence Untuk Menganalisis dan Memvisualisasikan Data Penumpang Bus Transjakarta Menggunakan Tableau Anwar Hidayat; Zuhri Halim; Firman Noor Hasan
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 4, No 3 (2023): Edisi Juli
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v4i3.224

Abstract

The existence of transportation facilities such as the Transjakarta bus will make it easier for human activities to move from one place to another. This Transjakarta bus is used as an alternative choice of means of transportation by many people in Jakarta. Because Transjakarta buses use special lanes that allow faster travel. The purpose of this study is to analyze Transjakarta passenger data by implementing a Business Intelligence system to display the number of passengers by type of bus, the number of passengers by route, the most favorite type of bus, the total number of passengers, the average passenger and the top five bus routes. The research method used is dataset processing, namely data for Transjakarta bus passengers in 2021 sourced from data.jakarta.go.id and the data is processed using Tableau tools. The results of this research report are in the form of a dashboard, such as the number of passengers as many as 120,308,547 people and the average passenger is 81,676 people. It is hoped that reports made in the form of data visualization and dashboards can be used in decision making. 
Implementasi Visualisasi Dashboard Business Intelligence Untuk Analisa Data Penumpang KAI Menggunakan Tableau Doni Gunawan Rambe; Dimas Febriawan; Firman Noor Hasan
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 4, No 4 (2023): Edisi Oktober
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v4i4.263

Abstract

Transportasi umum merupakan bagian penting dalam kehidupan manusia. Transportasi merupakan asset kegiatan sosial ekonomi yang dapat di akses oleh seluruh masyarakat, menjadi transportasi yang dirancang untuk mengangkut sejumlah besar orang secara efisien dari kota ke kota adalah transportasi pelayanan jasa Kereta Api. Penelitian ini bermaksud untuk mempermudah masyarakat dalam memahami sebuah data dalam bentuk visualisasi dan menerapkan sistem Business Intelligence dari pelayanan jasa Kereta Api. Metode penelitian kali ini adalah analisa visualisasi, analisa visualisasi yaitu data pelayanan jasa kereta api indonesia di tahun 2021 dan 2022 data tercatat dari Badan Pusat Statistik dan data diolah lebih lanjut menggunakan Tableau Public. Hasil dari penelitian berupa bentuk visualisasi data dashboard. Jumlah penumpang pelayanan jasa Kereta api total ditiap tahun di tahun 2021 tercatat ada 149.763 penumpang, dan di tahun 2022 ada 277.115 penumpang.
Implementasi Business Intelligence untuk Menganalisis Data Tujuan Populer Untuk Bali Tahun 2022 menggunakan Aplikasi Tableau Public Ahmad Syahril; E Erizal; Firman Noor Hasan
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 4, No 4 (2023): Edisi Oktober
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v4i4.235

Abstract

The most important part in a business is data management, it's just that the steps are not easy. In the development of technology, there are many ways to process and manage data. Business intelligence (BI) may be one of them. Maybe according to estimates the tourist attractions in Bali are the world's top tourist attractions. TripAdvisor named Bali as the world's top destination in the Traveler's Choice award. According to Google Reviewrs, tours in Bali show the highest number of 4,800 and the lowest 4,200. Providing highly effective information is the goal of tourism research in Bali, Indonesia, which is based on business intelligence. For this study, data analysis was performed using Tableau Public software. In Google Reviews, Bali Safari and Marine Park has the highest score with 16,042 and Banjar Hot Spring has the lowest score with 2,422. According to Google Maps, the highest rating rating in Bali is the Penglipuran Village area, with a value of 4,800 and the lowest rating is occupied by an area called Goa Gajah with a value of 4,200.
Co-Authors Ahmad Syahril Anwar Hidayat Dimas Febriawan Doni Gunawan Rambe E Erizal Panji Islami Anakku Zuhri Halim Zuhri Halim