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All Journal IKRA-ITH Informatika : Jurnal Komputer dan Informatika Karimah Tauhid
Muhamad Elgar
Universitas Djuanda
Computer Science & IT Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice Neuroscience Social Sciences

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Penggunaan Python Sebagai Bahasa Pemrograman untuk Machine Learning dan Deep Learning M Riziq Sirfatullah Alfarizi; Muhamad Zidan Al-farish; Muhamad Taufiqurrahman; Ginan Ardiansah; Muhamad Elgar
KARIMAH TAUHID Vol. 2 No. 1 (2023): Karimah Tauhid
Publisher : Universitas Djuanda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30997/karimahtauhid.v2i1.7518

Abstract

Python merupakan sebuah bahasa pemrograman tingkat tinggi yang dibuat oleh Guido Van Rossum dan dirilis pada tahun 1991 Python juga merupakan bahasa yanng sangat populer belakangan ini. Selain itu python juga merupakan bahasa pemrograman yang multi fungsi salah satunya pada bidang Machine Learning dan Deep Learning. Machine Learning adalah sebuah sub unit dari Artificial Intellegence yang memungkin mesin dapat belajar mandiri menggunakan data-data tanpa harus diprogram berulang kali oleh manusia sedangkan Deep Learning adalah sub unit dari Machine Learning yang algoritmanya terinsipirasi dari sturktur otak manusia yang disebut Artificial Neural Networks
Rancang Bangun Sistem Informasi Manajemen Kru dan Produksi Syuting Berbasis Web Menggunakan Laravel serta Tailwind CSS dengan Model Waterfall (Studi Kasus: Sindikart) Muhamad Elgar; Uus Firdaus; Setyono
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 10 No. 2 (2026): IKRAITH-INFORMATIKA Vol 10 No 2 Juli 2026
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37817/ikraith-informatika.v10i2.7043

Abstract

Sindikart Equipment and Props Rental House is an artistic service company in the film industry that has been managing crew data and property inventory conventionally using office applications and cloud-based storage, which can lead to data duplication, difficulty in validating crew information, and slow retrieval of past project archives. This research aims to design and build a web-based Crew and Film Production Management Information System to integrate the management of crew data, production projects, and property inventory at Sindikart. The research method used is descriptive qualitative, with data collection through participatory observation and direct interviews with the Director of Sindikart. The system was developed using the Waterfall model, with Laravel as the backend framework, Tailwind CSS for the frontend interface, and MySQL as the database, and has two user roles, namely Admin and Crew. Testing was carried out using the Black Box Testing method on 63 test scenarios, with 62 scenarios valid and 1 scenario not yet optimal, resulting in a system success rate of 98.41%. These results indicate that the system is feasible to implement and able to transform Sindikart's operational data management into a more centralized, structured, and efficient one.
Co-Authors Ginan Ardiansah M Riziq Sirfatullah Alfarizi Muhamad Taufiqurrahman Muhamad Zidan Al-farish Setyono Uus Firdaus