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.

Memuat proyek... Loading projects...

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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Selasa, 14 Juli 2026

7 Advantages of AI Face Recognition in 2026 Smart Home Security Systems

7 Advantages of AI Face Recognition in 2026 Smart Home Security Systems

Home security technology continues to advance rapidly, and by 2026, AI face recognition is becoming one of the most prominent features in the smart home ecosystem. More than just a "keyless entry," this technology offers instant occupant identification, more precise access control, and intelligent notifications when suspicious activity occurs.

For homeowners, the main advantages are not only about convenience but also faster response, access personalization, and increasingly mature data protection. Here are 7 advantages of AI face recognition in 2026 smart home security systems that are worth understanding before choosing a device.

Why AI Face Recognition Is Becoming the Key to Smart Home Security?

AI face recognition is becoming important because modern home security systems can no longer just record events. An ideal system must be able to recognize who is arriving, distinguish residents from strangers, and make automatic decisions in seconds.

Comparison with traditional security systems (locks, regular CCTV)

Traditional systems like mechanical locks, PINs, or regular CCTV have fairly obvious limitations. Keys can be lost or duplicated, PINs can be leaked, and conventional CCTV typically only records without truly understanding who is being recorded.

In contrast, AI face recognition adds a more personal biometric verification layer. The system not only "sees" but also "recognizes." This makes entry more secure and practical, especially for homes with many occupants, children, elderly, or household staff.

The first advantage is contactless and keyless access. You no longer need to look for keys or open an app every time you arrive home. Simply stand in front of the device, and the system will verify your face and grant access if there is a match.

The second advantage is lower risk of human error. Many home security incidents occur because doors are forgotten to be locked, keys are left behind, or access codes are shared carelessly. AI face recognition reduces reliance on error-prone manual habits.

Speed and accuracy of facial identification in 0.2 seconds

One reason this technology is quickly adopted is its ever-improving performance. In the latest 2026 devices, facial identification can take about 0.2 seconds, making the user experience feel nearly instant.

The third advantage is real-time response speed. The system can immediately unlock the door for registered residents or send an alert when detecting an unfamiliar face. In a security context, a split‑second difference can be very meaningful.

The fourth advantage is continuously improving identification accuracy. With better sensors and increasingly mature AI models, the system can recognize faces in various lighting conditions, angles, and minor appearance changes. This makes smart home security feel more reliable than previous generations.

How AI Face Recognition Works in Smart Home Devices

Behind its simplicity, AI face recognition works through a combination of cameras, depth sensors, AI processing, and an access management system. The device captures a face, extracts unique features, then matches them with registered data.

Deep learning algorithms for facial feature recognition

Modern systems use deep learning algorithms to read facial patterns such as the distance between eyes, nose contour, jaw shape, and even certain textures that are difficult to forge. This data is then converted into a biometric template, not just an ordinary photo.

The fifth advantage is the ability to learn and adapt. AI not only recognizes a face from one static image but from various expressions, angles, and environmental conditions. As a result, the system is more consistent when used daily.

Some devices are also equipped with liveness detection, the ability to detect whether the object in front of the camera is a real human, not a photo, video, or digital screen. This feature is very important for enhancing the security of the home's main access.

Encryption of biometric data and local vs. cloud storage

Facial data is sensitive, so digital security aspects cannot be ignored. The best devices in 2026 generally already use end‑to‑end encryption or advanced encryption to protect user biometric templates.

The sixth advantage is stronger data protection through encryption and flexible storage options. Some products store data locally on the device or home hub, while others offer cloud synchronization for convenience of access and backup.

Local storage usually excels in privacy because little data moves to external servers. Meanwhile, cloud storage can provide ease of updates, access history, and cross‑device integration. The best choice depends on your priority: maximum privacy or usage flexibility.

Superior Features of Face Recognition‑Based Smart Home Security

AI face recognition is not just a door opener. In a mature smart home system, this technology becomes the center of smarter access control and security monitoring.

Access control with multi‑user and temporary guests

One of the most useful features is multi‑user management. You can register family members' faces, restrict access for household workers at certain hours, or grant temporary access to guests without handing over physical keys.

The seventh advantage is highly flexible and personalized access control. For example, children can enter after school hours, a technician is only active during service times, and overnight guests receive 24‑hour permission. Everything can be managed from the app with neat access logs.

This feature greatly helps dynamic modern homes. You don't need to change locks or share permanent codes just for temporary needs.

Anomaly notifications: detection of unknown faces or manipulation attempts

AI‑based security systems also excel at detecting anomalies. When the camera sees an unregistered face, the device can immediately send a notification to a phone, sound an alarm, or trigger other cameras to start recording.

Some devices can even recognize tampering attempts, such as camera covering, intentionally extreme lighting, or spoofing attempts using visual media. This makes the system not passive, but actively respon to potential threats.

In practice, smart notification features help homeowners take faster action. You can immediately check the live view, talk back through certain devices, or contact neighbors and security officers if necessary.

Guide to Choosing the Best Face Recognition Smart Home Security Products in 2026

Choosing the right product is not just about brand or design. You need to assess camera quality, device durability, data security, and compatibility with the smart home ecosystem already in use at home.

Important specifications: camera resolution, IR, and weather resistance

Prioritize devices with sharp camera resolution so facial recognition remains accurate. Good resolution helps the system capture facial details more consistently, especially in entryway areas with changing light.

IR or infrared sensors are also important for night‑time use or shaded areas. With good IR support, the device can still recognize faces in low‑light conditions without drastically reducing accuracy.

If the device is installed outdoors, pay attention to weather resistance certification such as resistance to heat, rain, dust, and humidity. A sophisticated smart lock or door camera will be less useful if it quickly malfunctions due to environmental exposure.

Additionally, check unlock speed, liveness detection support, storage capacity, as well as backup battery or emergency power options. Small details like these often determine long‑term user comfort.

Integration with smart home ecosystems (Google Home, Alexa, Apple HomeKit)

Ideally, the best 2026 products do not stand alone. Choose devices that can connect to Google Home, Alexa, or Apple HomeKit so home automation runs more smoothly.

For example, when a resident's face is recognized, the system can simultaneously unlock the smart lock, turn on the foyer lights, activate the AC, and disarm the home alarm. Such integration makes security and convenience work together.

Also make sure the supporting app is stable, easy to use, and regularly receives firmware updates. A product with excellent AI but poor software will feel cumbersome in daily use.

FAQ

Can AI face recognition be fooled with a photo or video?

It can happen on older systems or cheap devices that lack liveness detection. However, on better 2026 products, depth sensors, IR, and micro‑motion detection usually make it much harder to use photos or videos to trick the system.

How does the system handle facial changes (glasses, beard, mask)?

Most modern systems can still recognize minor changes like glasses, hairstyles, or beards. If changes are too drastic, users usually need to update their facial data to maintain optimal accuracy.

Is my facial data safe from hacking or misuse?

Safety heavily depends on the chosen product. Select devices with strong encryption, good app authentication, and local storage options if you want stricter privacy control.

What is the price range for smart locks with AI face recognition in 2026?

Generally, the price range is expected to start from mid‑range around several million rupiah up to tens of millions for premium models. Price is usually influenced by sensor quality, AI features, smart home integration, and device materials.

Closing

AI face recognition in 2026 smart home security systems offers more than just a new way to open doors. This technology delivers keyless access, super‑fast identification, multi‑user control, anomaly detection, and increasingly mature data protection.

If you want to improve home security while maintaining resident comfort, face recognition‑based smart home devices deserve to be on your priority list. The key is to choose products that are accurate, secure, durable, and truly compatible with your smart home ecosystem.

Source:
https://source.unsplash.com/featured/?smart,home

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 deepseek-v4-pro 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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