Projects

Welcome! This is my first R Shiny project—a collection of simple, interactive apps designed to support biologists working in biodiversity monitoring and species distribution mapping. These apps: Allow users to upload and explore biodiversity datasets Generate interactive maps using leaflet Provide an accessible starting point for visualizing species distribution patterns You can explore the code and try it yourself here:

Hi guys, biocomp is a repository for my bioinformatics and computational biology learning journey. This repository includes scripts and data primarily focused on computational biology, covering a wide range of topics such as:

Welcome! This is a friendly and beginner-accessible open-source book created to help you explore the fascinating world of data visualization—one chart at a time. Through this project, I share: My personal contributions to the 30 Day Chart Challenge Step-by-step R tutorials Clean, reproducible code Practical tips for making compelling and effective charts Whether you’re just starting your data journey or looking to sharpen your data storytelling skills, this book is designed to guide you in an approachable, hands-on way.

A mini mentoring project for undergraduate student, the overall goal of the mentoring project is to provide guidance and support to students in their academic and personal development. The objective of the project is to help students navigate their undergraduate years successfully and provide them with the resources they need to succeed in their chosen field of study.

BITS Mengajar is a supporting program under social development division in Biology ITS student association at Institut Teknologi Sepuluh Nopember

The Mangrove Sister School program is one of the programs that provides educational value to the surrounding community in the context of a mangrove restoration program with the Coastal and Marine Biodiversity Reserve concept which has been held by Pertaminas EP and Agrie Conservation in Lembung Paseser.

The research project on biodiversity assessment in Alas Karetan forests aims to comprehensively analyze the ecological diversity within forest ecosystems. Utilizing advanced techniques such as remote sensing, and ecological modeling. The study explores flora and fauna present in diverse forest habitat by evaluating species richness, and ecological interactions

Microbiome profiling in hydrocarbon polluted soil in traditional oil mine in Wonocolo, Bojonegoro, East Java. This project employed next generation sequencing method using 16srRNA amplicon of V3-V4 region.

A hands-on learning module on computational microbiology, focused on microbial taxonomy, classification, and phylogenetic analysis using R.