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Implementasi Metode Promethee untuk Penentuan Penyedia Layanan Hosting Terbaik di Indonesia Ma’had Wicaksono; Andrianto Gusti Pradana
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 3 No. 1 (2025): Januari: Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v3i1.380

Abstract

Determining the best hosting service provider is a very important first step in starting a digital business. Mistakes in choosing a hosting service will have fatal consequences for the continuity and smooth running of a digital business. This research aims to select the best hosting service in the form of a Decision Support System (SPK). Determining the best hosting service provider is very important because hosting is one aspect that determines the success of an e-business. This research uses the PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluation) method to determine the ranking of the best hosting service providers. The performance assessment of hosting service providers was carried out from January to April 2024. This research was carried out using data from 9 alternatives and 5 criteria which are crucial aspects in hosting services, namely, loading time, server uptime, number of downtimes, support and user friendliness. In this research, it was found that the hosting service provider Niagahoster was the first ranked alternative with a net flow value of 0.75.
Penerapan Dashboard Business Inteligence untuk Bongkar Muat Kapal pada Pelabuhan XYZ Menggunakan Metabase Arbi Muh’adhim; Prayoga Dwi Supriyadi; Sanjaya Ramadhan; Ma’had Wicaksono
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 3 No. 4 (2025): Juli : Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v3i4.868

Abstract

The port is a vital infrastructure in the global logistics chain that connects sea and land transportation. The efficiency of cargo loading and unloading operations at the port is a critical factor influencing the smooth flow of goods and overall logistics costs. In this context, the use of Business Intelligence (BI) as an integrated technological system to support data collection, analysis, and presentation is becoming increasingly important for optimizing data-driven decision-making in port environments. XYZ Port, as one of the strategic ports in Indonesia, faces challenges in managing complex loading and unloading operations with increasing cargo volumes. The implementation of a BI dashboard offers a solution to visualize operational data in real-time, identify bottlenecks, and optimize resource allocation. This study aims to implement a BI dashboard for cargo handling operations at XYZ Port. The specific objectives include identifying information needs in cargo handling operations and developing a BI dashboard that suits the characteristics of port operations. The findings indicate that the dashboard effectively supports real-time decision-making and enhances operational efficiency. The study also highlights the importance of addressing technological infrastructure, human resource readiness, and system integration challenges in BI implementation.
Pemanfaatan Visualisasi Data dalam Business Intelligence untuk Strategi Bisnis Perusahaan Retail Sasha Safira Nuraini; Azzumardi Mubarok Romadhoni; Muhammad Akmal Faris Taqiyuddin; Ma’had Wicaksono
Jurnal Manuhara : Pusat Penelitian Ilmu Manajemen dan Bisnis Vol. 3 No. 3 (2025): Jurnal Manuhara: Pusat Penelitian Ilmu Manajemen dan Bisnis
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/manuhara.v3i3.1992

Abstract

This study investigates how data visualization helps retail companies make Business Intelligence (BI)-based decisions. The study processed one year of sales data with a quantitative descriptive approach to find seasonal patterns, performance by region, and customer consumption tendencies. The analysis results show that BI software such as Microsoft Power BI can visualize data more easily and accelerate understanding of business performance. Strategic decisions such as promotional planning and product inventory management are more effective with interactive visualization, which allows decision makers to see data in a more understandable way. The study found that data visualization in BI systems can help retail businesses make better decisions. These results show the importance of incorporating BI into a company's operational processes and using interactive visualization to improve overall business performance.
Penerapan Dashboard Business Intelligence untuk Meningkatkan Penjualan Mobil: Studi Kasus pada Perusahaan XYZ Muhammad Rohid Nur Fajrian; Githriff Ahmad Nibross Vroticca; Ainur Rifki Pratama; Ma’had Wicaksono
Saturnus : Jurnal Teknologi dan Sistem Informasi Vol. 3 No. 3 (2025): Juli : Saturnus : Jurnal Teknologi dan Sistem Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/saturnus.v3i3.920

Abstract

The automotive industry is a strategic sector that plays a crucial role in national economic growth. Facing rapid digital transformation, automotive companies are increasingly adopting Business Intelligence (BI) systems to facilitate a data-oriented decision-making process. This study aims to explore the implementation of BI in XYZ, one of Indonesia’s largest car manufacturers. Using a descriptive qualitative approach through literature review, the research highlights how BI dashboards enable real-time analysis of vehicle sales trends, regional performance, and product models. The findings indicate that BI significantly enhances strategic planning, marketing accuracy, and operational efficiency. Visual tools such as Tableau provide centralized dashboards that facilitate faster insights, enabling companies to adjust production and distribution strategies based on data patterns. The study concludes that BI is not merely a visualization tool but a vital element of the digital transformation strategy in the automotive sector.