Halo, saya Hello, I am

Adi Rizky Pratama

Saya seorang I am a

Dosen Teknik Informatika di UBP Karawang sekaligus Programmer Freelance. Menggabungkan riset akademis di bidang AI & Machine Learning dengan pengembangan solusi teknologi nyata untuk industri. Lecturer of Informatics Engineering at UBP Karawang and a Freelance Programmer. Combining academic research in AI & Machine Learning with the development of real-world technology solutions for industry.

6+
Publikasi Publications
50+
Sitasi Citations
10+
Proyek Projects
Dosen & Peneliti Lecturer & Researcher
Full-Stack Dev Full-Stack Dev
AI / ML AI / ML
Geser untuk efek 3D Drag for 3D effect
Adi Rizky Pratama

Akademisi yang Melek Industri Industry-Savvy Academician

Sebagai dosen di Program Studi Teknik Informatika Universitas Buana Perjuangan Karawang, saya mengajar dan meneliti di bidang kecerdasan buatan, pengolahan citra, dan pengembangan aplikasi. Di sisi lain, pengalaman sebagai programmer freelance memungkinkan saya menjembatani teori dan praktik — menghadirkan solusi teknologi yang didasari riset ilmiah yang kuat. As a lecturer in the Informatics Engineering Study Program at Universitas Buana Perjuangan Karawang, I teach and conduct research in artificial intelligence, image processing, and application development. On the other hand, my experience as a freelance programmer allows me to bridge theory and practice — delivering technology solutions built on robust scientific research.

Menjabat sebagai Kepala Pusat Data dan Informasi (PUSDATIN) UBP Karawang, saya terbiasa memimpin proyek digitalisasi skala besar dan berkolaborasi lintas tim. Serving as the Head of the Center for Data and Information (PUSDATIN) at UBP Karawang, I am accustomed to leading large-scale digitalization projects and collaborating across teams.

Dosen Tetap Full-time Lecturer

Teknik Informatika, UBP Karawang Informatics Engineering, UBP Karawang

Riset AI & ML AI & ML Research

CNN, LSTM, k-NN, OCR

Kepala PUSDATIN Head of PUSDATIN

Digitalisasi & Data Center Digitalization & Data Center

Freelance Dev Freelance Dev

Web & Mobile Applications Web & Mobile Applications

Apa yang Bisa Saya Bantu? How Can I Help You?

Menggabungkan keahlian akademis dan pengalaman industri untuk memberikan solusi terbaik. Combining academic expertise and industry experience to deliver the best solutions.

Software Development

Pengembangan aplikasi web & mobile custom sesuai kebutuhan bisnis Anda. Dari landing page hingga sistem enterprise. Custom web & mobile application development tailored to your business needs. From landing pages to enterprise systems.

IT Consulting

Konsultasi arsitektur sistem, pemilihan teknologi, transformasi digital, dan optimasi infrastruktur IT. Consulting on system architecture, technology stack selection, digital transformation, and IT infrastructure optimization.

Corporate Training

Pelatihan pemrograman, data science, dan AI untuk tim korporat maupun institusi pendidikan. Programming, data science, and AI training for corporate teams and educational institutions.

Research Collaboration

Kolaborasi riset di bidang machine learning, computer vision, dan data mining untuk publikasi ilmiah. Research collaboration in machine learning, computer vision, and data mining for scientific publications.

Tech Stack yang Dikuasai Mastered Tech Stack

HTML5
CSS3
JavaScript
Bootstrap
PHP
Laravel
Node.js
Python
TensorFlow
Keras
MySQL
PostgreSQL
Git & GitHub

Tri Dharma Perguruan Tinggi Three Pillars of Higher Education

Pengajaran, penelitian, dan pengabdian masyarakat sebagai fondasi kontribusi ilmiah. Teaching, research, and community service as the foundation of scientific contribution.

Mata Kuliah yang Diampu Courses Taught

Pemrograman Web Web Programming
Kecerdasan Buatan Artificial Intelligence
Machine Learning Machine Learning
Pengolahan Citra Digital Digital Image Processing
Basis Data Database Systems
Pemrograman Mobile Mobile Programming

Pengabdian Masyarakat Community Service

Digitalisasi UMKM melalui implementasi e-learning, QRIS, dan sistem informasi untuk pelaku usaha mikro di Karawang. Digitalization of MSMEs through the implementation of e-learning, QRIS, and information systems for micro-businesses in Karawang.

Highlight Publikasi Riset Research Publication Highlights

1

Penggunaan media pembelajaran Wordwall untuk meningkatkan minat dan motivasi belajar siswa The use of Wordwall learning media to improve students' interest and learning motivation

Zahro, N. A. Q., & Pratama, A. R.

50+ Sitasi 50+ Citations Jurnal Journal
2

Perbandingan Algoritma Apriori Dan FP-Growth Terhadap Market Basket Analysis Comparison of Apriori and FP-Growth Algorithms for Market Basket Analysis

Fathurrahman, M., Pratama, A. R., & Al-Mudzakir, T.

Data Mining Jurnal Journal
3

Implementasi CNN Untuk Klasifikasi Citra Kemasan Kardus Defect dan No Defect CNN Implementation for Defect and No Defect Cardboard Box Image Classification

Antoni, A., Rohana, T., & Pratama, A. R.

Computer Vision CNN

Proyek & Hasil Karya Projects & Creative Works

Koleksi proyek dari dunia akademik, freelance, dan open source. A collection of projects from academic, freelance, and open-source fields.

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Pengalaman & Pendidikan Experience & Education

Perjalanan karir di dunia akademik dan industri teknologi. Career journey in the academic world and technology industry.

Akademik Academic 2018 — Sekarang 2018 — Present

Dosen Tetap Full-time Lecturer

Universitas Buana Perjuangan Karawang

Mengajar mata kuliah Pemrograman Web, AI, Machine Learning, dan membimbing riset mahasiswa di Program Studi Teknik Informatika. Teaching Web Programming, AI, Machine Learning, and supervising student research in the Informatics Engineering Study Program.

Freelance Freelance 2019 — Sekarang 2019 — Present

Freelance Web Programmer Freelance Web Programmer

Berbagai Klien & Proyek Various Clients & Projects

Mengembangkan aplikasi web dan mobile untuk klien dari berbagai industri. Spesialisasi di PHP/Laravel, JavaScript, dan Python. Developing web and mobile applications for clients across various industries. Specializing in PHP/Laravel, JavaScript, and Python.

Akademik Academic 2018 — Sekarang 2018 — Present

Kepala PUSDATIN Head of PUSDATIN

UBP Karawang

Memimpin Pusat Data dan Informasi universitas. Mengelola infrastruktur IT, sistem informasi akademik, dan digitalisasi kampus. Leading the university's Center for Data and Information. Managing IT infrastructure, academic information systems, and campus digitalization.

Pengabdian Service 2021 — Sekarang 2021 — Present

Digitalisasi UMKM MSME Digitalization

Karawang & Sekitarnya Karawang & Surrounding Areas

Program pengabdian masyarakat: pelatihan IT, implementasi e-learning dan QRIS untuk pelaku usaha mikro. Community service program: IT training, e-learning implementation, and QRIS integration for micro-businesses.

Pendidikan Education 2015 — 2017

S2 — Magister Teknik Informatika Master of Informatics Engineering

Universitas / Institusi University / Institution

Fokus studi pada kecerdasan buatan, pengolahan citra, dan machine learning. Study focus on artificial intelligence, image processing, and machine learning.

Pendidikan Education 2011 — 2015

S1 — Sarjana Teknik Informatika Bachelor of Informatics Engineering

Universitas / Institusi University / Institution

Fondasi keilmuan di bidang pemrograman, basis data, jaringan komputer, dan rekayasa perangkat lunak. Foundational knowledge in programming, databases, computer networks, and software engineering.

Hubungi Saya Contact Me

Ada proyek, kolaborasi riset, atau pertanyaan? Jangan ragu untuk menghubungi. Have a project, research collaboration, or question? Feel free to reach out.

Mari Berkolaborasi! Let's Collaborate!

Saya selalu terbuka untuk peluang kolaborasi, baik di bidang akademik maupun pengembangan software. Silakan hubungi saya melalui platform berikut. I am always open to collaboration opportunities, both in the academic sphere and software development. Please contact me through the platforms below.

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Kamis, 09 Juli 2026

Amazon Prepares Alexa+ for 2026 with Agentic Capabilities: Book a Ride and Send a Message at the Same Time

Amazon Prepares Alexa+ for 2026 with Agentic Capabilities: Book a Ride and Send a Message at the Same Time

Amazon is reportedly preparing a major leap for Alexa+ through an internal project called Moonraker. The focus is no longer just on answering questions or turning on smart home devices, but on independently carrying out chained tasks through a single natural instruction. If this plan stays on track, the next generation of Alexa will move much closer to the concept of a truly agentic AI assistant that can actually “act,” not just “respond.”

Project Moonraker: Amazon Prepares Alexa with New Agentic Capabilities

Moonraker is said to be a project designed to give Alexa+ more advanced agentic capabilities. That means Alexa will not only understand commands, but also be able to break tasks into multiple steps, execute them in sequence, and complete the user’s goal without requiring much additional intervention.

This approach matters because the AI assistant market is now moving quickly toward digital agents that can handle real-world tasks. Amazon appears unwilling to let Alexa fall behind as competitors begin pushing AI models capable of reasoning, planning, and executing actions across services.

An Example of Complex Interaction: Booking a Ride and Sending a Text in a Single Command

One of the most compelling examples of this capability is a scenario in which a user gives a single instruction such as: book a ride to the airport and send a message to my colleague saying I’m on my way. In older models, a task like this would usually need to be split into several separate commands.

With agentic capabilities, Alexa+ is expected to understand the context, open the relevant services, book the vehicle, and then automatically send a message to the appropriate contact. Experiences like this would make interactions feel more natural, because users would only need to express the end goal rather than manage each step one by one.

Aiming to Compete with Google, Anthropic, and OpenAI

Amazon’s move also reflects intensifying competition in AI. Google, Anthropic, and OpenAI are all moving quickly to develop assistants that are smarter, more contextual, and more capable of carrying out real actions.

For Amazon, upgrading Alexa+ into an agentic platform is not just about adding new features, but also about maintaining relevance in the digital assistant market. If successful, Moonraker could become a key foundation for keeping Alexa competitive in the era of generative AI and intelligent agents.

US$100 Million in GPU Costs and Amazon’s Internal Dilemma

Behind that major ambition lies a significant cost burden. Developing large-scale AI models requires intensive computing, especially for training, inference, and testing complex agentic features. As a result, a project like Moonraker is said to require a massive infrastructure investment.

The biggest cost comes from GPU usage, a vital component for running modern AI models. The more advanced Alexa+ becomes, the greater the computing demand Amazon will have to bear.

Projected Costs of More Than US$100 Million by 2026

Reports suggest that GPU costs for this project could exceed US$100 million in 2026. This figure shows that building an agentic AI assistant is not merely a standard software update, but a very expensive long-term investment.

The scale of this cost also reflects the reality of today’s AI industry: rapid innovation often comes with major infrastructure spending. Tech companies that want to lead must be prepared to spend more aggressively in pursuit of performance, speed, and reliability.

Executive Concerns Over Heavy Spending on Alexa AI Models

On the other hand, spending on that scale creates an internal dilemma. Some Amazon executives are reportedly concerned about whether such a large investment in Alexa AI models will be justified by the business results.

That concern is understandable, because Alexa has long been widely known as a popular product, but monetizing it has not always been easy. Amazon now has to balance two things at once: the push to win the AI race and the pressure to ensure development costs remain commercially reasonable.

Alexa+ Has Launched, but It Has Not Been Entirely Smooth

While Moonraker is still in development, Amazon has already launched Alexa+ as a more modern version than previous Alexa iterations. However, this early launch phase does not appear to have been entirely smooth.

In many AI transformations, the initial rollout is a crucial period for testing whether the technology is truly ready for broad use. Alexa+ faces a similar challenge, especially at a time when public expectations are already very high.

Early 2026 Launch in the U.S. and Early Access in the U.K.

Alexa+ is said to begin rolling out in early 2026 in the United States, with early access in the United Kingdom. This strategy gives Amazon room to test performance, gather feedback, and improve the user experience before a broader expansion.

A phased rollout like this is common for AI products, especially when new features involve third-party service integrations, natural language understanding, and more complex multi-step automation.

User Reports: Issues with Basic Requests That Did Not Exist in the Previous Version

Despite bringing new capabilities, some user reports say Alexa+ is still experiencing issues with basic requests. This is notable because some of those problems reportedly did not appear in the older version of Alexa.

This situation highlights a classic challenge in the evolution of AI products: as systems become smarter and more complex, the stability of core functions can actually be affected. For Amazon, strengthening the foundation of the user experience will be just as important as adding advanced new features.

Amazon’s Commitment to Alexa+ and Its Latest Features

Despite the various challenges, Amazon appears to remain serious about making Alexa+ a key pillar of its AI strategy. That commitment is evident in the ongoing rollout of feature updates, including personalization options and more practical service integrations for everyday needs.

The direction of development is fairly clear: Alexa+ aims to become a more personal, more flexible, and more useful assistant in daily life, not just a device for answering short questions.

Three New Personality Styles (February 2026) for Customized Interactions

In February 2026, Amazon is said to have introduced three new personality styles for Alexa+. This feature allows users to tailor the tone of interactions so they feel better suited to individual preferences.

Personalization like this matters because the experience of using a voice assistant is heavily influenced by communication style. With selectable personalities, Alexa+ is expected to feel more lively and less generic.

Food Ordering via GrubHub and Uber Eats Using Everyday Language

Amazon is also pushing Alexa+ to be more useful for practical needs, such as ordering food through GrubHub and Uber Eats. Interestingly, this process is designed to work through everyday language, without requiring rigid command formats.

This means users can simply express what they want naturally, such as saying they want to order the same favorite burger as last week, and the system will try to understand that context. If it works well, features like this could serve as proof that Alexa+ is indeed moving toward a more proactive and contextual assistant.

FAQ

When will Alexa with Moonraker’s agentic capabilities be released?

For now, the target points to 2026, but there is no truly final public release date yet. Amazon will likely introduce it gradually after internal testing and further refinement of Alexa+.

How much is Amazon spending on Project Moonraker?

GPU cost projections for this project are said to potentially exceed US$100 million in 2026. This amount is mainly tied to the substantial computing needs of AI models and agentic features.

Is Alexa+ already available in Indonesia?

There is no official information yet indicating that Alexa+ has been launched broadly in Indonesia. For now, the initial rollout is said to be focused on the U.S., with early access in the U.K.

What is the main difference between Alexa+ and the older version of Alexa?

The main difference lies in its AI capabilities, which are more contextual, more natural, and potentially agentic. Alexa+ is designed not only to respond to simple commands, but also to handle more complex, multi-step tasks.

This article was written by artificial intelligence (AI) using the deepseek-v4-pro model via SumoPod AI.

This article was translated by Artificial Intelligence (AI) using gpt-5.4 via SumoPod AI.

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Dosen Teknik Informatika di UBP Karawang sekaligus Programmer Freelance. Menggabungkan riset akademis di bidang AI & Machine Learning dengan pengembangan solusi teknologi nyata untuk industri.

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