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APLIKASI ARTIFICIAL INTELLIGENCE UNTUK MENDETEKSI OBJEK BERBASIS WEB MENGGUNAKAN LIBRARY TENSORFLOW JS, REACT JS DAN COCO DATASET Arnesia, Pipit Dewi; Pratama, Naufal Arif; Sjafrina, Fitri
Jurnal Sistem Informasi Vol 9 No 1 (2022)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsii.v9i1.4243

Abstract

Penelitian ini adalah mengenai rancang bangun aplikasi Artificial Intelligence untuk mendeteksi objek berbasis web yang didukung oleh voice command dengan tujuan memudahkan penggunaannya. Aplikasi ini memanfaatkan model dari Coco dataset, library Tensorflow Js untuk implementasi machine learning pada web, dan library React Js dalam pembuatan aplikasi web. Aplikasi ini diujicoba dengan menggunakan metode black box untuk menguji fitur yang dimiliki yaitu voice command dan object detection (deteksi objek). Uji coba dilakukan menggunakan browser Google Chrome pada perangkat smartphone RealMe 3. Aplikasi ini diharapkan dapat membantu orang-orang yang mengalami gangguan pada matanya agar dapat beraktifitas yang lebih nyaman. Kata kunci: Artificial Intelligence, Machine Learning, Object Detection, Tensorflow Js.
Penerapan Metode Bussines To Consumer (B2C) dalam Membangun Sistem Informasi Penjualan Bahan Pembersih Berbasis Web (Studi Kasus pada CCE Store) Chandra, Yudi Irawan; Sjafrina, Fitri; Arnesia, Pipit Dewi
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 3 (2024): Edisi Juli
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i3.456

Abstract

In building a web-based cleaning material sales information system, the Business to Consumer (B2C) method is applied with the aim of improving a more efficient and effective sales process and reaching a wider market. This research builds a web platform that facilitates direct communication between manufacturers or distributors of cleaning materials and end consumers. This system was created with the aim of providing easy access to product information, transparent pricing, and a simple transaction process. The process of developing this web-based information system involves a number of steps, starting from analyzing needs, designing the system, implementing the design to conducting trials and evaluations. During the needs analysis process, the functional and non-functional needs of the users, either those who produce or use the products, were recognized. The system design includes a user interface that is easy to understand, a database that is efficient in its structure, as well as crucial features such as product listing, shopping cart, online payment methods, and order monitoring. To carry out the implementation, the latest web technologies such as HTML, CSS, and JavaScript were used along with the Laravel framework on the backend side. Product, transaction, and user information were managed using a MySQL database. The system is tested as a whole to verify each feature operates effectively and according to predefined specifications. From this research, it is evident that applying the B2C method in a web-based cleaning material sales information system increases consumer satisfaction because it provides easier, faster, and safer access to information and transactions. In addition, this system also plays a role in helping manufacturers manage sales and inventory more efficiently, as well as presenting analytical data that is useful for business decision making. Overall, the web-based B2C cleaning sales information system solution provides innovation and practicality in supporting business operations in the digital age. Not only does this technology improve the efficiency of the sales process, it also opens up new opportunities in marketing and distributing cleaning products more broadly.
PERANCANGAN USER INTERFACE & USER EXPERIENCE DENGAN METODE DESIGN THINKING PADA APLIKASI ONLINE COURSE CLEVER MENGGUNAKAN FIGMA Rivai, Muhammad Zulwan; Arnesia, Pipit Dewi; Sjafrina, Fitri
Prosiding Seminar SeNTIK Vol. 8 No. 1 (2024): Prosiding SeNTIK 2024
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

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Abstract

Clever adalah sebuah perusahaan digital platform yang bergerak di bidang pendidikan. Clever menawarkan kursus online yang menyediakan berbagai kategori di bidang pekerjaan, yang bertujuan memberikan ilmu yang luas dan membentuk karir profesional serta mewujudkan mimpi bagi pengguna. Dalam penelitian ini menggunakan Metode Design thinking yang merupakan alat yang digunakan dalam problem solving, problem design, hingga problem forming, yang meliputi lima tahapan yaitu Empathize, Define, Ideate, Prototype, dan Testing. Pembuatan User Interface (UI) dan prototyping untuk menyambung antar halaman UI menggunakan aplikasi Figma, lalu menggunakan Usability Testing SEQ dalam pengembangan produk untuk menilai tingkat kemudahan pada fitur-fitur berdasarkan pengalaman user dengan memberikan kisaran angka tingkat kemudahan.
Design of Prototype Early Warning System for Ship Gas Leakage and Fire Using MQ-6 Sensor and Arduino Uno Microcontroller Chandra, Yudi Irawan; Sjafrina, Fitri; Irawati, Diyah Ruri; Riastuti, Marti
Innovation in Research of Informatics (Innovatics) Vol 7, No 2 (2025): September 2025
Publisher : Department of Informatics, Siliwangi University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/innovatics.v7i2.16382

Abstract

Maritime transportation is vital for global trade but faces risks from gas leaks and fires, which can endanger ships and crews. Many small and medium-sized vessels lack effective systems to detect hazardous gases early, raising the chance of accidents. This study focuses on developing a prototype early warning system to detect gas leaks and fires on ships using an MQ-6 sensor and an Arduino Uno microcontroller. The goal is to provide a low-cost, real-time monitoring solution to improve maritime safety. The research follows a hardware prototyping and software development process using a waterfall approach, including requirement analysis, system design, implementation, testing, and deployment. The MQ-6 sensor identifies flammable gases like LPG and butane, while the Arduino Uno processes the sensor data and triggers alarms when gas levels become dangerous. The prototype was tested in a simulated ship environment to assess its sensitivity, response time, and reliability. Test results show that the system detects gas concentrations above safe limits within 3 to 5 seconds, activating visual and audio alarms quickly. The device also operates continuously with low power consumption, making it suitable for long-term use on ships. The study shows that this prototype can serve as an affordable and reliable additional safety device for maritime settings. This research supports efforts to improve ship safety systems by offering a practical way to reduce risks from gas leaks and fires. The system’s simplicity and effectiveness make it a promising option for enhancing onboard hazard detection.
Desain Website UI/UX Challenge Partner PasarPolis Menggunakan Aplikasi Figma (Studi Kasus: PT ImpactByte Teknologi Edukasi / Skilvul) Tanjung, Anisah Rona; Arnesia, Pipit Dew; Sjafrina, Fitri
Prosiding Seminar SeNTIK Vol. 9 No. 1 (2025): Prosiding SeNTIK 2025
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

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Abstract

Penelitian ini mendesain ulang halaman website PasarPolis Employee Benefit dengan metode Design Thinking. Hasil pengujian menunjukkan prototype memperoleh nilai kepuasan cukup tinggi