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$50 USD / 小时
INDONESIA的国旗
sukabumi-cikole, indonesia
$50 USD / 小时
目前这里是2:36 下午
三月 22, 2021已加入
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Alifia Z.

@cinderlala12

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$50 USD / 小时
INDONESIA的国旗
sukabumi-cikole, indonesia
$50 USD / 小时
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Fullstack Engineer

As a Full-Stack Engineer with a strong passion for technology and problem-solving, I specialize in turning complex project ideas into reality. My expertise lies in using a diverse tech stack, including Python, JavaScript, ReactJS, NextJS, KeystoneJS, NodeJS, Flask, FastAPI, and database management with PostgreSQL. With a keen eye for both front-end aesthetics and back-end functionality, I deliver comprehensive web solutions that are both efficient and user-friendly. My professional journey has equipped me with robust skills in developing responsive websites, intricate web applications, and performing server-side optimizations. I excel in crafting seamless user experiences, ensuring optimal performance, and maintaining high-quality code standards. Whether you’re a startup or an established business, my goal is to provide you with web solutions that are not only functional but also elevate your digital presence. Let’s collaborate to bring your vision to life!

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文件夹

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经验

Fullstack Engineer

Dinas Pemberdayaan Masyarakat dan Desa Provinsi Jawa Barat
3月 2023 - 现在
I actively participate in iterative development, emphasizing continuous integration and teamwork. My expertise includes planning and creating data flow diagrams, designing and organizing web application databases, and setting them up using DBMS. Proficient in various programming languages and tools, I excel in both backend and frontend web development, ensuring a seamless and integrated user experience in the software solutions I deliver.

Junior Programmer

Phire Studio
11月 2022 - 2月 2023 (3 个月, 1 天)
- Create display and function forgot password, send reset code to email, and reset password - Create display and data store andon system

教育

Sarjana Terapan Komputer

Indonesia 2018 - 2022
(4 年)

出版物

Sistem Identifikasi “Fake News” menggunakan Metode Multinomial Naïve Bayes

JUSTIN (Jurnal Sistem dan Teknologi Informasi) UNTAN
It discusses the rapid spread of news on social media, particularly Twitter, and the concurrent rise of false news or hoaxes. It highlights the social issues caused by such misinformation. The study employs the Multinomial Naïve Bayes method to classify news as actual or hoax. Data were sourced from Twitter, processed, labeled, and tested, resulting in an 83% model accuracy and 94% training set accuracy, demonstrating the method's effectiveness in distinguishing between real news and hoaxes.

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