01
PT Sumber Alfaria Trijaya Tbk (Alfamart)
IT Store Support – Semarang Distribution Center
✦ PERSONAL PORTFOLIO · DIGITAL CREATORLearn to create.
Learn to create.
Create to make a difference.
I am Hendra Setyawan, an IT professional who prefers actions over words. I enjoy learning, experimenting, and building useful digital solutions.
2007Working in IT since
16+Documented projects
∞Always learning
BUILD · LEARN · SHARE ✳
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Ide sederhana.
Dampak bermakna.
Web Development / AI / Machine Learning / Sistem Informasi
SimpleCodeAppEST. 2007 — NOW ↗
TERUS BELAJAR✳BERANI MENCOBA✳MEMBANGUN SOLUSI✳BERBAGI MANFAAT
01 / TENTANG SAYA
Lebih banyak berkarya daripada berbicara.
Skill & Expertise
MySQL
SQL Server
Pemrograman PHP
Web Development
Python
XAI Machine Learning
Mobile Development
Ubuntu Server VPS
TOGAF
Big Data
Cyber Security
Saya percaya bahwa teknologi terbaik lahir dari rasa ingin tahu, ketekunan, dan keinginan membantu orang lain. Saya suka mempelajari hal baru, merancang sistem, lalu mengubah ide menjadi aplikasi yang dapat digunakan.
Ruang eksplorasi saya mencakup aplikasi web, sistem informasi, digitalisasi layanan, kecerdasan buatan, dan analisis data.
A Trade That Never Fails.
Reciting the Qur'an, Establishing Prayer, and Giving in the Way of Allah (Privately or Openly)
02 / WORK EXPERIENCE
Portfolio
Professional experience in retail and healthcare.
02
Rumah Sakit Islam Kendal
Head of Hospital IT
03
Rumah Sakit Islam Jakarta Pondok Kopi
Head of Hospital IT
CLIENT
Client List
Clients who have collaborated on business application development.
Klinik Larassyifa
PT Farmasi Kendal
Rumah Sakit Umum Muhammadiyah Darul Istiqomah Kendal
Lembaga Akreditasi Rumah Sakit Indonesia (LARSI)
Lembaga Akreditasi Puskesmas Klinik dan Laboratorium Indonesia (LAPKLIN)
Lembaga Akreditasi Klinik Utama, Laboratorium Medis, dan Unit Pengelola Darah (LABTAMA)
PRODUCT & PROJECT
Products
Explore Project · Aplikasi dan karya pengembangan.
Unisbank
Diabetes Readmission Prediction
Machine Learning Classification Dashboard Diabetes Readmission Prediction merupakan aplikasi berbasis web yang dikembangkan menggunakan Python dan Flask untuk menganalisis serta memprediksi kategori kunjungan ulang pasien diabetes ke rumah sakit berdasarkan data historis pelayanan kesehatan. Aplikasi ini menerapkan metode supervised machine learning dengan membandingkan tiga algoritma klasifikasi, yaitu Logistic Regression, Decision Tree, dan Random Forest. Dataset yang digunakan adalah Diabetes 130-US Hospitals for Years 1999–2008, yang berisi 101.766 catatan kunjungan pasien diabetes dari 130 rumah sakit di Amerika Serikat selama periode 1999–2008. Variabel target yang digunakan adalah readmitted, dengan tiga kategori: • NO: Tidak tercatat kembali dirawat. • <30>30: Kembali dirawat setelah lebih dari 30 hari. Tahapan pengolahan data mencakup penanganan data kosong, transformasi variabel kategorikal, pembagian data latih dan data uji dengan proporsi 80:20, pelatihan model, serta evaluasi menggunakan Accuracy, Macro F1, dan Confusion Matrix. Hasil pengujian disajikan melalui dashboard interaktif berupa ringkasan dataset, grafik perbandingan performa algoritma, identifikasi model terbaik, visualisasi Confusion Matrix, serta interpretasi dan kesimpulan otomatis berdasarkan hasil perhitungan. Aplikasi ini bertujuan mendukung pembelajaran Big Data dan Machine Learning, khususnya dalam memahami penerapan algoritma klasifikasi terhadap data pelayanan kesehatan. Hasil prediksi digunakan untuk keperluan analisis akademik, bukan sebagai dasar diagnosis atau keputusan klinis.
Unisbank
UNISBANK Machine Learning
UNISBANK Machine Learning is a web-based application designed to perform integrated machine learning analysis and evaluation. It supports classification, regression, clustering, algorithm comparison, ensemble learning, Explainable AI (XAI), and Causal Inference to help users discover data patterns, evaluate model performance, explain prediction results, and analyze cause-and-effect relationships to support data-driven decision-making.
Education
Simple Inventory
A web-based Inventory application **built entirely with Python and MySQL**, using the Flask framework to manage product data, stock, categories, and prices in a structured, fast, and user-friendly way.
Healthcare
AKREDI.AI
AKREDI.AI is an AI-powered accreditation readiness intelligence platform that transforms the hospital accreditation document review process into a traceable and actionable workflow.
Education
E-Learning
E-Learning System, an online learning application designed for teachers, instructors, and anyone who wants to document knowledge and share it with others.
Retail
Online Store
Discover the features of this Online Store application. It is suitable for students, beginner programmers, developers, and anyone who wants to learn how to build web applications through practical experience. It is also suitable for SMEs that want to develop and market their products digitally. Building your own brand can be more effective and trustworthy than relying entirely on marketplaces.
Freelancer
Get in touch ↗
Applications can be demonstrated and discussed for business or organizational needs. Pricing and availability depend on requirements.
Website Visitors
Ringkasan kunjungan website
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Hari ini
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Bulan ini
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