01.AboutTentang
Saya masuk ke dunia AI dari pertanyaan yang konkret: bagaimana riset bisa benar-benar berguna di kelas nyata? Tiga proyek mendorong saya mencari jawabannya — Maestro (platform pembelajaran adaptif), Lectura (engine slide real-time), dan JustExplain (prediksi hukuman & XAI). Masing-masing lahir dari masalah nyata, dan masing-masing mengajari saya sesuatu tentang jarak antara ide yang bagus dan sistem yang benar-benar berjalan. Latar saya dari Pendidikan Fisika — disiplin yang melatih membangun pemahaman lapis demi lapis — dan insting itu yang membentuk cara saya bekerja sebagai engineer hingga hari ini. My entry into AI started from a concrete question: how do you make research actually useful in a real classroom? Three projects pushed me to find out — Maestro (adaptive learning platform), Lectura (real-time slide engine), and JustExplain (sentencing prediction & XAI). Each one started from a real problem, and each taught me something about the distance between a good idea and a system that actually runs. I come from Physics Education — a background that trained me to build understanding layer by layer — and that instinct shapes how I approach engineering today.
Perjalanan akademis saya dimulai dari Pendidikan Fisika di UNNES — tempat saya belajar pedagogi dan systems thinking — dan berlanjut ke Teknik Informatika di UDINUS. Perpaduan ini yang kemudian membentuk arah riset saya: Intelligent Tutoring System yang melihat kognisi siswa sebagai sistem dinamis yang bisa dimodelkan. My academic journey began with Physics Education at UNNES — where I learned pedagogy and systems thinking — and continued at UDINUS for Informatics Engineering. This blend shaped my research direction: Intelligent Tutoring Systems that view student cognition as a dynamic system worth modeling.
Beberapa upaya saya tuangkan dalam publikasi di ICAMIMIA 2025 (Scopus) dan platform MAESTRO yang saat ini sedang dalam proses submission ke IEEE ISemantic 2026. Di kelas Algoritma Pemrograman dan Fisika Komputasi, saya mencoba menerapkan hal yang sama — konsep abstrak divisualisasikan lewat kode, hasil simulasi dianalisis bersama-sama. I've tried to bridge these worlds through publications at ICAMIMIA 2025 (Scopus) and the MAESTRO platform, currently under submission to IEEE ISemantic 2026. In my Programming Algorithms and Computational Physics classes, I apply the same principle — abstract concepts visualized through code, results discussed together.
Core Focus Fokus Utama
GenAI, custom LLM systems, RAG pipelines, data modeling, and pipelines GenAI, sistem LLM kustom, pipeline RAG, pemodelan data, dan pipeline
Modular SPAs (React), robust backend services, and database synchronization SPA modular (React), layanan backend tangguh, dan sinkronisasi database
ML research & data-driven modeling Riset ML & pemodelan berbasis data
First-principles reasoning & simulation Penalaran prinsip pertama & simulasi
02.EducationPendidikan
Informatics EngineeringTeknik Informatika
Universitas Dian Nuswantoro GPA: 3.96/4.00
PeriodPeriode2024 — 2026 (ExpectedPerkiraan)
Research Focus: Integration of Artificial Intelligence (AI) in
Intelligent Tutoring System based on adaptive pedagogical policies.
Core
Courses: Advanced Machine Learning, Natural Language Processing (NLP), Multivariate Data
Analysis.
Fokus Riset: Integrasi Kecerdasan Buatan (AI) dalam
Intelligent Tutoring System berdasarkan kebijakan pedagogis adaptif.
Mata Kuliah
Utama: Machine Learning Lanjut, Pemrosesan Bahasa Alami (NLP), Analisis Data
Multivariat.
Physics EducationPendidikan Fisika
Universitas Negeri Semarang GPA: 3.15/4.00
PeriodPeriode2018 — 2023
Focus Areas: Computational Physics, numerical methods, basic scientific programming, applied statistics, and pedagogical methodology. Bidang Fokus: Fisika Komputasi, metode numerik, pemrograman ilmiah dasar, statistika terapan, dan metodologi pedagogi.
03.SkillsKeahlian
Skills Proficiency Distribution Distribusi Tingkat Keahlian
AI & Data EngineeringAI & Rekayasa Data
Production AI systems and pipelines — custom GenAI (RAG, agents, fine-tuning), ML models, data engineering (ETL automation, SQL optimization), and system integration. Sistem dan pipeline AI produksi — GenAI kustom (RAG, agen, fine-tuning), model ML, data engineering (otomatisasi ETL, optimasi SQL), dan integrasi sistem.
Full Stack Web DevelopmentPengembangan Web Full Stack
End-to-end application engineering — modular SPAs (React), robust backend APIs (Node.js), database synchronization, zero-framework security request guards, and responsive layouts. Rekayasa aplikasi end-to-end — SPA modular (React), API backend tangguh (Node.js), sinkronisasi database, request guards keamanan tanpa framework, dan tata letak responsif.
Academic Research & PublishingRiset Akademis & Publikasi
SLR with PRISMA, LaTeX typesetting, and AI-assisted scientific writing workflows. SLR dengan PRISMA, penulisan LaTeX, dan alur kerja penulisan ilmiah berbantuan AI.
Computational Physics & ModelingFisika Komputasi & Pemodelan
Numerical analysis, computational mechanics, and physics modeling with C++ and Python. Analisis numerik, mekanika komputasi, dan pemodelan fisika dengan C++ dan Python.
Pedagogical Design & InstructionDesain Pedagogi & Pengajaran
Curriculum design, active learning models, and AI integration inside classroom pedagogy. Desain kurikulum, model pembelajaran aktif, dan integrasi AI dalam pedagogi kelas.
04.ExperiencePengalaman
codeDeveloper ExperiencePengalaman Developer
Full-Stack DeveloperFull-Stack Developer
Focus / PeriodFokus / PeriodeLectura — Academic Presentation Engine Lectura — Engine Presentasi Akademik open_in_new 2025 — Present 2025 — Sekarang
Built Lectura, a 3-mode academic presentation and whiteboard SPA using native ES Modules and a zero-dependency Node.js server. Membangun Lectura, sebuah SPA presentasi akademik 3-mode dan whiteboard menggunakan native ES Modules dan Node.js server tanpa dependensi.
ML & ITS EngineerML & ITS Engineer
Focus / PeriodFokus / PeriodeMaestro — Intelligent Tutoring System Maestro — Platform Intelligent Tutoring System open_in_new 2024 — Present 2024 — Sekarang
Architected Maestro, an Intelligent Tutoring System using Flutter, Q-POMDP Reinforcement Learning, and local Markdown-based RAG. Merancang Maestro, sebuah Intelligent Tutoring System menggunakan Flutter, Q-POMDP Reinforcement Learning, dan RAG berbasis Markdown lokal.
Data AnalystAnalis Data
Focus / PeriodFokus / PeriodeData Analysis & Quantitative Research Analisis Data & Riset Kuantitatif open_in_new 2023 — Present 2023 — Sekarang
Developed automated ETL pipelines and R-based Network Meta-Analysis (NMA) engines using Pandas, NumPy, SQL, and MetaInsight. Mengembangkan pipeline ETL otomatis dan engine Network Meta-Analysis (NMA) berbasis R menggunakan Pandas, NumPy, SQL, dan MetaInsight.
MTI Research AssistantAsisten Riset MTI
Focus / PeriodFokus / PeriodeTime-Series Forecasting with Multi-Head Attention Peramalan Deret Waktu dengan Multi-Head Attention open_in_new 2024 — 2025 2024 — 2025
Researched time-series forecasting using Multi-Head Attention architectures in PyTorch, tracked with MLflow, and published at ICAMIMIA 2025. Meneliti peramalan deret waktu menggunakan arsitektur Multi-Head Attention di PyTorch, dilacak dengan MLflow, dan dipublikasikan di ICAMIMIA 2025.
Machine Learning & XAI ContributorKontributor Machine Learning & XAI
Focus / PeriodFokus / PeriodeJustExplain — Explainable AI Sentencing Predictor JustExplain — Prediksi Hukuman Pidana Terintegrasi XAI open_in_new 2025 — Present 2025 — Sekarang
Collaborated on JustExplain, a court sentencing predictor utilizing ensemble models, SHAP explainability, and an interactive Streamlit dashboard. Lead author: Jarot. Berkolaborasi membangun JustExplain, prediktor vonis hukuman pidana menggunakan model ensemble, eksplanasi SHAP, dan dashboard Streamlit interaktif. Penulis utama: Jarot.
NLP EngineerNLP Engineer
Focus / PeriodFokus / PeriodeIndoBERT Fine-Tuning — NLP Tasks Fine-Tuning IndoBERT — Tugas NLP open_in_new 2025 2025
Fine-tuned IndoBERT for Indonesian NLP tasks using Hugging Face Transformers and LoRA, achieving +2% F1 score improvement. Melakukan fine-tuning IndoBERT untuk tugas NLP bahasa Indonesia menggunakan Hugging Face Transformers dan LoRA, mencapai peningkatan skor F1 +2%.
schoolAcademic ExperiencePengalaman Akademik
Research & Community Outreach FacilitatorFasilitator Riset & Pengabdian Masyarakat
Focus / PeriodFokus / PeriodeAcademic & Research ConsultantKonsultan Akademik & Riset 2023 — Present2023 — Sekarang
Facilitated community workshops on scientific methodology, LaTeX typesetting, Mendeley, and Python for statistical analysis. Trained over 50 professionals and students across Indonesia and consulted on medical meta-analysis designs. Served as a national guest speaker for CIMSA, bridging academic research with practical analysis needs. Menyelenggarakan workshop pengabdian masyarakat mengenai metodologi ilmiah, LaTeX, Mendeley, dan analisis statistik dengan Python. Melatih lebih dari 50 profesional serta mahasiswa di Indonesia dan memberikan konsultasi desain meta-analisis medis. Menjadi pembicara seminar ilmiah nasional CIMSA untuk menjembatani riset akademis dengan kebutuhan praktis.
Physics & Astronomy Teacher (Public Education)Guru Fisika & Astronomi (Pendidikan Publik)
Focus / PeriodFokus / PeriodeSenior High School (SMA)Sekolah Menengah Atas (SMA) 2023 — 2024
Designed pedagogical curricula for High School Physics and coached the Astronomy Olympiad team. Developed Python simulation scripts for orbital mechanics to make abstract computational physics concepts tangible. Focused on active learning methods to connect theoretical physics modeling with real-world applications. Merancang kurikulum pedagogis untuk pelajaran Fisika dan membimbing tim Olimpiade Astronomi tingkat SMA. Membuat script simulasi Python untuk mekanika orbit guna menjelaskan konsep fisika komputasi yang abstrak. Menerapkan metode pembelajaran aktif untuk menghubungkan pemodelan fisika teoretis dengan aplikasi nyata.
Lab Assistant (Computational Physics & Programming Algorithms)Asisten Laboratorium (Fisika Komputasi & Algoritma Pemrograman)
Focus / PeriodFokus / PeriodeUniversitas Negeri Semarang 2021 — 2023 (2 Years)2021 — 2023 (2 Tahun)
Mentored over 40 undergraduate students across Computational Physics and Programming Algorithms courses. Conducted code reviews and designed automated testing exercises to evaluate student programs in Python and C++. Assisted faculty in curriculum delivery, reducing manual grading time through structured rubrics. Membimbing 40+ mahasiswa S1 dalam mata kuliah Fisika Komputasi dan Algoritma Pemrograman. Melakukan peninjauan kode dan merancang sistem pengujian otomatis untuk tugas praktikum Python dan C++. Membantu dosen dalam pengajaran kelas serta mereduksi waktu penilaian manual melalui rubrik terstruktur.
05.Featured ProjectsProyek Unggulan
06. Advanced Analytics & AI Research Riset AI & Analisis Lanjut Selected Publications Publikasi Terpilih
Research Focus & Interest Distribution Fokus Riset & Sebaran Bidang Minat
P. Wicaksono, R. A. Pramunendar — ICAMIMIA 2025. (Scopus)
P. Wicaksono, P. N. Andono, Pujiono — 2026.
07.Latest ThoughtsCatatan Terbaru
08.ContactKontak
Working on an AI or engineering project? Open for technical discussions and research collaboration. Sedang mengerjakan proyek AI atau engineering? Terbuka untuk diskusi teknis dan kolaborasi riset. Open for research collaboration — thesis discussions, joint publications, or exploring AI in Education together. Terbuka untuk kolaborasi riset — diskusi tesis, publikasi bersama, atau mengeksplorasi AI dalam Pendidikan.