Merupakan website yang berisi lowongan yang dibuka dari perusahaan yang menjadi partner program Magang Kampus Merdeka periode Januari-Juni 2022.

A report crawler for kampus merdeka website consist of Intern and Studi Independent report generator

🍏 Capstone Project of MSIB Dicoding 2022 Cycle 3. We plan to build a machine learning model to predict fresh fruit. That way, users are expected to be able to easily separate between fresh and rotten fruit.

Final Project Binar Academy x Kampus Merdeka - SecondHand

This is a travel catalog application which will help users to find tourist destinations. This application was made for the Merdeka Campus x Dicoding Batch 2 program as the final project of the program.

This platform is a place for buying and selling products online, especially used products. This platform opens and provides various types of need categories. Users who register with this application can act as sellers and buyers by using the same 1 (one) account. This platform will bring together sellers and buyers to be able to negotiate produc…

Culinary Emerald Equator - Indonesian Food Puzzle Game (Agate - Independent Study Final Project)

Disappear, eco-friendly products e-commerce mobile app for "Kampus Merdeka Alterra Academy Batch 5" final project.

Ever tired copying all logbook data from KM portal to your laporan akhir? Use this.

Sebuah userscript untuk mengecek status data SPTJM & Surat Rekomenasi (SR) Kampus Merdeka

Hashop - Ecommerce App with NextJS || Final Project 2 - SIB React Hacktiv8

Semua rangkuman react live session Kampus merdeka (Alterra) - React Kelas D

The Backend Project of Forum Group Discussion

Some of the tasks that I've been working on BISA AI independent study.

Kalkulator sederhana berbasis PWA - Project assignment Hacktiv8

Illegal logging prevention app

Hotelio - Hotel App with React Native || Final Project 3 - SIB React Hacktiv8

Redesign Website Smartnation From Citiasia

salam literasi aplikasi profil sekolah dibuat untuk mengembangkan penyebaran informasi kepada orang tua murid melalui media online secara real time tanpa membebankan orang tua siswa dengan penggunaan yang fleksibel aplikasi ini dapat di akses kapan saja di mana saja oleh siapapun untuk mengenal tentang sekolah dasar khususnya SD Nergeri 25 Ternate

this project is about how to process sentiment analysis using Naive Bayes Classifier with and without TF-IDF term weighting. The case is about Kampus Merdeka New Policy from KEMENDIKBUD RI on Youtube comments. The conclusion is using TF-IDF give a better result with accuracy 96%.