Projects
BidanKu
2024 — Software Development
Bidanku is a health application designed to provide support and information to pregnant women, breastfeeding mothers and their families. This application offers various features that help users get the health knowledge and services they need.
Sesama
2024 — Software Development
Sesama is an educational application designed to increase understanding of sanitation. With various interactive features and easy-to-understand material, this application is suitable for anyone who wants to deepen their knowledge about sanitation, whether for personal, educational or professional purposes. This application not only provides structured learning materials, but also allows users to measure their understanding through pretests and posttests. With comprehensive learning modules and direct access to health workers for further discussions, this application is an ideal platform to improve the quality of life through knowledge about sanitation.
Kekasih
2024 — Software Development
We designed the KEKASIH (Kader Class with Pregnant Women) application to help you provide exclusive breast milk to your baby from the first day of birth until they are 6 months old. This application is easy and effective, will help you learn about breastfeeding accompanied by cadres and health workers. There is an online question and answer room that can be used at any time. Enjoy your trip.
Chatting Mira
2024 — Software Development
Chatting Mira, an abbreviation for Prevent Stunting through Adolescent Anemia, is a smartphone application that aims to overcome anemia in adolescents as well as prevent anemia in pregnant women who are at risk of giving birth to stunted children. This application provides information, education, as well as monitoring and evaluating compliance with the consumption of blood supplement tablets (TTD), supporting digital health transformation that makes access easier without being limited by distance and time.
Melo Analytics
2024 — Artificial Intelligent
MeloAnalytics: Smart Solution for Abnormality Detection and Analysis of Melon Leaves MeloAnalytics is an innovative application specifically designed to help farmers detect abnormalities and analyze the condition of leaves on melon plants. With the latest technology, this application is able to identify various problems that can affect the health of melon leaves, such as disease, pest damage and symptoms of nutritional deficiencies. MeloAnalytics' main features include three main menus: Analysis, About Melon, and Abnormality Detection.
Corn Weed Detection
2023 — Artificial Intelligent
Proyek ini berfokus pada pengembangan sistem deteksi citra untuk objek gulma dan jagung yang memiliki fitur utama yang berbeda. Dalam pemodelan deep learning, fitur-fitur ini diekstrak untuk mencapai akurasi deteksi yang tinggi. Namun, proses ekstraksi fitur dan penskalaan sering kali memperbesar ukuran model dan memperlambat kinerja. Mengabaikan proses ini dapat menurunkan akurasi secara signifikan. Oleh karena itu, kontribusi saya dalam proyek ini adalah merancang feature extractor dan teknik penskalaan yang optimal pada arsitektur YOLOv7 agar mampu mengekstrak fitur penting secara efisien tanpa mengurangi akurasi maupun memperbesar ukuran model, sehingga kinerja deteksi menjadi lebih cepat dan ringan untuk diterapkan pada perangkat lunak atau sistem dengan keterbatasan sumber daya.
Online Retail Analysis
2023 — Data Analysis & Visualization
Proyek ini bertujuan untuk menganalisis data penjualan online dengan fokus pada preferensi pelanggan, tren penjualan, kategori produk yang diminati, dan faktor-faktor lain yang mempengaruhi pertumbuhan bisnis.
Kamus Digital Bahasa Rejang
2019 — Software Development
The Rejang Digital Indonesian Dictionary was developed by the Language Office of Bengkulu Province in 2020 as one of the results of the Dictionary Development Program, which integrates language and literature products with information technology and computers, targeting beginner-level learners of the Rejang language.