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OPTIMALISASI DATA STARTUPRENEUR MULTIPRODUCT

MENGGUNAKAN TABLEAU PADA AIMEE APPS


SKRIPSI



Disusun Oleh :

NIM : 1922424775

NAMA : MUHAMAD LUTFI HUZAIFAH


FAKULTAS SAINS DAN TEKNOLOGI

PROGRAM STUDI TEKNIK INFORMATIKA

KONSENTRASI SOFTWARE ENGINEERING

UNIVERSITAS RAHARJA

TANGERANG

2022/2023



ABSTRAK

Dalam era digital saat ini, perusahaan startup telah menjadi sebuah tren yang populer dan semakin berkembang di Indonesia. Perusahaan startup yang memproduksi lebih dari satu produk dalam satu waktu disebut sebagai startupreneur multiproduct. Untuk memperoleh kesuksesan di pasar yang semakin kompetitif, startupreneur multiproduct membutuhkan analisis data yang akurat untuk mengoptimalkan kinerja dan efektivitas produk-produk mereka. Aplikasi AIMEE adalah sebuah aplikasi untuk mempermudah startupreneur melakukan inkubasi dengan para mentor terbaik melalui kegiatan bootcamp dan workshop. Penelitian ini bertujuan untuk mempermudah cara pemanfaatan data dari berbagai produk startup untuk memaksimalkan bisnis mereka dalam bentuk visualisasi. Metode penelitian ini menggunakan IMF menerapkan metode penyelesaian proyek teknologi informasi, dengan fokus penerapan POAC (Planning Organizing, Actuating, and Controlling) yang merupakan dasar ilmu manajemen, termasuk kedalam manajemen operasi cabang dan manajemen kinerja. Dan juga menggunakan metode Tableau yang digunakan untuk menvisualisasikan data yang tersedia. Hasil akhir dari penelitian ini adalah mempermudah cara pemanfaatan data dari berbagai produk startup untuk memaksimalkan bisnis mereka dalam bentuk visualisasi. Dengan menggunakan Tableau pada AIMEE Apps, startupreneur multiproduct dapat melakukan analisis data yang akurat untuk mengoptimalkan kinerja dan efektivitas produk-produk mereka.

Kata kunci : Startupreneur multiproduct, Analisis data, Visualisasi data, Tableau, AIMEE APPS.

ABSTRACT

In this digital era, startups have become a popular trend and are growing in Indonesia. Startups that produce more than one product at a time are called startupreneur multiproduct. To succeed in an increasingly competitive market, startupreneur multiproduct needs accurate data analysis to optimize the performance and effectiveness of their products. The AIMEE application is an application that makes it easier for startupreneurs to incubate with the best mentors through bootcamps and workshops. This study aims to facilitate the use of data from various startup products to maximize their business in the form of visualization. This research method uses IMF applying the information technology project resolution method, with a focus on applying POAC (Planning Organizing, Actuating, and Controlling) which is the basis of management science, including branch operations management and performance management. And also uses the Tableau method which is used to visualize available data. The end result of this study is to facilitate the use of data from various startup products to maximize their business in the form of visualization. By using Tableau on AIMEE Apps, startupreneur multiproduct can perform accurate data analysis to optimize the performance and effectiveness of their products.

Keywords: Startupreneur multiproduct, Data analysis, Data visualization, Tableau, AIMEE APPS

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