Name: Fikri Septrian Anggara
Type: User
Company: Software Engineer @ Statistics Indonesia
Bio: An applied statistician but hates statistics.. tho, I loves coding.
Software Engineer at Statistics Indonesia
Twitter: DobEqualNSD
Location: Jambi, Indonesia
Blog: www.linkedin.com/in/fikri-septrian-anggara
Fikri Septrian Anggara's Projects
Repository untuk Kelas Belajar Implementasi CI/CD
Repository ini digunakan untuk kebutuhan kelas Belajar Membangun Arsitektur Microservices
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
for basic android kotlin compose course in android developer tutorial
basic mern stack apps
BPS's frontend website redesign. designed by zy, build by fikri
my online course source
a covid dashboard written using vanilla js and utilizes the API from BNPB. Some of the features in this application are the search for provinces, graphs of the proportion between cases, the spread of covid in terms of geography, and tabulation of data.
collection implementation of algorithm and data structure in golang
object oriented ETL pipeline for extract, transform, and load data, including Extract and Load to SQL server and google sheet
repo buat rest api tugas disjas
my portfolio
airbnb UI clone built with flutter.
repo to learn and explore golang. I'm using novalagung excellent golang materials
KIA project for kemenkue hackathon
Indonesia's Ministry of Health and finance hackathon project. A Medical Service App that provides pregnancy monitoring in Indonesia. We use React, tailwind, material UI, and chart.js to built this progressive web apps.
Aplikasi untuk Konreg PDRB Sumatera 2024
Collection of machine learning algoritm written in R. covering various supervised and unsupervised machine learning algorithm. These codes are made as supplement of academic module in our data mining and knowledge management course.
a collection of machine learning implementation code using python. Consisting linear regression, SVM, random forest, and neural network algortihm. Use cases covering binary classification, image classification, regression, and so on.
e-commerce web apps using MERN Stack