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All Journal Faktor Exacta International Journal Software Engineering and Computer Science (IJSECS) APPA : Jurnal Pengabdian Kepada Masyarakat
Habib Nurfaizal
Universitas Pamulang
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology

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PROTOTYPE SISTEM KENDALI ROBOT ARM GRIPPER MANIPULATOR MENGGUNAKAN FLEX SENSOR DAN MPU6050 BERBASIS INTERNET OF THINGS Habib Nurfaizal; Makhsun Makhsun; Yan Mitha Djaksana
Faktor Exacta Vol 13, No 4 (2020)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v13i4.6598

Abstract

In this sophisticated era a lot of human work that has begun to be done by robots. Robots are used to facilitate work that can not be done by humans, such as moving an item in a dangerous place. One of the robots created to facilitate human work is a robot that has a shape like a human arm called the arm gripper manipulator. Arm gripper manipulator is a robot that has the ability to move like a human arm. The manipulator arm consists of joint, link, and end-effector. This research designed a control system of the robot arm gripper manipulator with 2 modes, gesture mode and IoT mode. The microcontroller used is Arduino Mega 2560 with flex sensor control and MPU 6050 inertia measurement unit sensor in gesture mode and IoT control mode with time average errors in 5 movements is 2.08%. The overall test results of the robot arm gripper manipulator can be controlled with gesture mode and IoT mode.Abstract. In this sophisticated era a lot of human work that has begun to be done by robots. Robots are used to facilitate work that can not be done by humans, such as moving an item in a dangerous place. One of the robots created to facilitate human work is a robot that has a shape like a human arm called the arm gripper manipulator. Arm gripper manipulator is a robot that has the ability to move like a human arm. The manipulator arm consists of joint, link, and end-effector. This research designed a control system of the robot arm gripper manipulator with 2 modes, gesture mode and IoT mode. The microcontroller used is Arduino Mega 2560 with flex sensor control and MPU 6050 inertia measurement unit sensor in gesture mode and IoT control mode with time average errors in 5 movements is 2.08%. The overall test results of the robot arm gripper manipulator can be controlled with gesture mode and IoT mode.
Rancang Bangun Sistem Keamanan Rumah Terintegrasi Telegram Menggunakan Mikrokontroler ATMega328 Habib Nurfaizal
Faktor Exacta Vol 16, No 1 (2023)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v16i1.15902

Abstract

Crime can happen anywhere and anytime. The security system is important. Much will be done to make conditions secure, one of them is home security. Home is a place to stay that must be guarded. Everyone will anxious if leaving home when empty. Usually home security uses CCTV cameras. Many theft cases show that using a CCTV camera is less effective. It is not enough to use a camera to monitor the state of the house, then we need a system that can give real-time notifications to home-owners via Telegram. Telegram is a cloud-based and free instant messaging service. Telegram also provides a bot system. When creating a new bot on a telegram, can monitor the state of the house by receiving telegram messages through sensors that have been identified. This system is made using ATMega 328 Arduino board as a microcontroller and NodeMcu ESP8266 as a wifi that can give notifications if there is movement, fire, and gas leakage in the house.
Penggunaan Teknologi Artificial Intelligence (AI) untuk Pembuatan Konten Iklan Sebuah Produk pada SMK Al Ikhwaniyah Abdul Choliq; Habib Nurfaizal; Fahrul Roji
APPA : Jurnal Pengabdian Kepada Masyarakat Vol 3 No 3 (2025): APPA : Jurnal Pengabdian kepada Masyarakat
Publisher : Shofanah Media Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Perkembangan teknologi Artificial Intelligence (AI) telah membawa perubahan signifikan dalam berbagai bidang, termasuk industri kreatif dan pemasaran digital. Kegiatan Pengabdian kepada Masyarakat (PKM) ini dilaksanakan oleh dosen Program Studi Sistem Informasi Universitas Pamulang dengan tujuan untuk memberikan pemahaman dan keterampilan praktis kepada peserta dalam memanfaatkan teknologi AI untuk pembuatan konten iklan produk secara efektif dan inovatif. Dalam pelatihan ini, digunakan tiga aplikasi berbasis AI yang memiliki fungsi berbeda namun saling melengkapi, yaitu ChatGPT, Remini AI, dan Pippit AI. ChatGPT digunakan untuk membantu peserta dalam pembuatan konsep, ide, dan naskah iklan yang persuasif; Remini AI dimanfaatkan untuk meningkatkan kualitas gambar produk agar terlihat lebih profesional dan menarik; sedangkan Pippit AI digunakan untuk menghasilkan video iklan digital yang dinamis dengan tampilan visual yang modern. Metode pelaksanaan kegiatan meliputi sosialisasi, pelatihan, dan praktik langsung dengan pendekatan berbasis proyek, di mana peserta diminta membuat konten iklan produk menggunakan ketiga aplikasi tersebut. Hasil kegiatan menunjukkan bahwa peserta mampu memahami cara kerja teknologi AI serta mengaplikasikannya dalam proses kreatif pembuatan iklan digital. Selain itu, kegiatan ini juga meningkatkan literasi digital dan kemampuan inovatif peserta dalam menghadapi tantangan dunia pemasaran berbasis teknologi. Kegiatan ini diharapkan dapat menjadi sarana bagi generasi muda, khususnya siswa SMK, untuk mengenal dan memanfaatkan potensi AI dalam mendukung produktivitas serta kreativitas di era transformasi digital.  
Design and Development of a Vulnerability Simulation-Based Cybersecurity Training Platform for Secure Programming Habib Nurfaizal; Afrizal Zein
International Journal Software Engineering and Computer Science (IJSECS) Vol. 6 No. 1 (2026): APRIL 2026
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET) - Lembaga KITA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v6i1.6809

Abstract

The increasing number of attacks on web applications necessitates strengthening secure programming competencies among computer science students. However, cybersecurity learning is often constrained by ethical and legal limitations, as direct testing on real-world systems is not permissible. This study designed and implemented a web-based cybersecurity training platform that provides a simulated vulnerability environment for secure programming practice. The methodology covers learning needs analysis, system design, vulnerability module implementation, and integration of defensive coding features. The platform operates as an online virtual laboratory accessible via www.kampuscyber.unaux.com, with modules addressing SQL Injection, Cross-Site Scripting (XSS), Cross-Site Request Forgery (CSRF), File Upload Vulnerability, Insecure Direct Object Reference (IDOR), Command Injection, Directory Traversal, Weak Authentication, and Insecure Cookie handling. Each module maps programming errors directly to their security consequences, paired with defensive coding solutions. The evaluation involved 15 students enrolled in a cybersecurity training program. Across 10 modules, students achieved a 79.33% success rate in completing exploitation tasks and 65.33% in providing secure programming solutions — a gap that points to the greater difficulty of defensive over offensive competency. These findings indicate that the platform offers a safe and controlled environment for web vulnerability learning and mitigation practice, and may serve as an ethical alternative for practice-based secure programming education without exposing real-world systems to risk.
Co-Authors Abdul Choliq Afrizal Zein Fahrul Roji Makhsun Makhsun Yan Mitha Djaksana