Sistem Informasi Manajemen Rumah Sakit Terintegrasi Berbasis Node JS. Demo dapat dilihat di https://simrs.glitch.me

packages service brdging Vclaim V2 and Bidging Antrol V2 kesehatan dengan version 2 dencrypt string with lz-string

Implementasi bridging antrian SIM-RS terhadap SIM-BPJS Kesehatan

JKN (BPJS) Bridging API Client untuk NodeJS

Medich is an application that raises the problem of satisfaction related to BPJS, especially in the lower classes, with Medich being able to solve all these problems. Medich has a Donation feature that will be very useful for the Community

SIGBPJS - web based sistem informasi geografis (SIG) / GIS fasilitas kesehatan - www.firstplato.com

Aplikasi bridging BPJS untuk SIMRS.dev

SIMRS Bridging Antrean BPJS Kesehatan

Webservice yang digunakan untuk menangani proses dekripsi respon data dari bridging BPJS VClaim v2.0 (Encrypted Version). Support VClaim v1 / v1.1 dan Antrean RS.

Admin Panel Aplikasi Pengaduan Masyarakat based Web

Aplikasi Python yang digunakan untuk menangani proses dekripsi respon data dari bridging BPJS VClaim v2.0 (Encrypted Version). Support VClaim v1 / v1.1 dan Antrean RS.

Aplikasi Python yang digunakan untuk menangani proses dekripsi respon data dari bridging BPJS VClaim v2.0 (Encrypted Version). Support VClaim v1 / v1.1 dan Antrean RS.

Template / Konsep untuk membuat WSRS Mobile JKN - Menggunakan ExpressJS

Cek gaji bulanan kamu setelah potong pajak dan iuran BPJS dengan kalkulator gaji. Gampang banget, cuma butuh sebentar!

A library for programming Lego Mindstorms with BPjs

Predict fraud detection in BPJS in 2022

This project provides a demonstration of the behavioural programming paradigm using the TurtleBot3 simulations. It is powered by the CoPBjs library and ROS. The project offers a great opportunity to explore the potentials of behavioural programming for robotics applications.

React Electron Blueprint JS

Easy Tax & BPJS Calculation using Python!

A team project that aims to provide insights into the health data of BPJS Kesehatan members. The project focuses on analyzing the data to identify patterns and trends that can be used to improve the quality of healthcare services provided by BPJS Kesehatan.