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All Journal Jurnal Informatika dan Teknik Elektro Terapan KOMPUTIKA - Jurnal Sistem Komputer INTI Nusa Mandiri SPEED - Sentra Penelitian Engineering dan Edukasi
Ismail Abdurrozzaq Zulkarnain
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Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Library & Information Science

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PEMBUATAN VIDEO PROFIL MENGGUNAKAN FLAT ANIMATION SEBAGAI MEDIA PROMOSI PADA DEVELOPER APLIKASI PROTOKOL Ismail Abdurrozzaq Zulkarnain
SPEED - Sentra Penelitian Engineering dan Edukasi Vol 11, No 3 (2019): Speed 2019
Publisher : APMMI - Asosiasi Profesi Multimedia Indonwsia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (301.693 KB) | DOI: 10.55181/speed.v11i3.599

Abstract

Abstract - This study aims to create profile videos using flat animation as a promotional tool for Protocol application developers. The method used in making this promotional media is the Animation Make method. Animation with this technique has a sprite that is continuously generated by the program, then displayed with certain calculations. While the method used in this study is Action Research. Methods of data collection by means of observation, interviews and questionnaires involving 8 expert respondents and 6 prospective customer respondents. Data analysis using qualitative descriptive analysis. This study includes 3 stages. Stage 1 is pre-production which includes concepts, scenarios, character building, storyboarding, music and FX sound. Stage 2 is the production stage which includes layouts, key motion, in between, clean up, background, celluloid, coloring. Stage 3 is the post-production stage which includes composite, camera shooting, editing, rendering. The results of this study indicate that the type of Flat Animation can make promotional media in the form of video profiles become more attractive and objective in the delivery of information. Keyword : Video Profile, Promotion Media, Flat Animation
Implementasi CNN untuk Sistem Absensi Wajah di Madrasah Diniyah Indah Puji Astuti; Farah Afi Febriyanti; Ismail Abdurrozzaq Zulkarnain
Komputika : Jurnal Sistem Komputer Vol. 14 No. 2 (2025): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputika.v14i2.17490

Abstract

Proses absensi manual di lingkungan pendidikan, khususnya Madrasah Diniyah, sering menimbulkan permasalahan seperti lambatnya pencatatan, adanya potensi kesalahan, serta kerentanan terhadap manipulasi data. Untuk mengatasi hal tersebut, penelitian ini bertujuan mengembangkan sistem absensi otomatis berbasis pengenalan wajah menggunakan metode Convolutional Neural Network (CNN). Sistem dirancang dengan memanfaatkan library OpenCV untuk pengolahan citra dan framework TensorFlow dalam bahasa pemrograman Python untuk pembangunan serta pelatihan model CNN. Dataset wajah siswa dikumpulkan secara langsung sebagai data pelatihan, kemudian model diuji pada kondisi  cahaya terang, cahaya redup,  jarak dekat, jarak sedang, dan sudut wajah miring guna mengukur akurasi sistem. Hasil penelitian menunjukkan bahwa sistem mampu melakukan identifikasi wajah secara real-time dengan tingkat akurasi rata-rata 86%, precision 87.5%, recall 85.2%, dan F1-score 86.3%. Model CNN yang digunakan terdiri atas tiga lapisan konvolusi dan dua lapisan pooling, dengan konfigurasi yang dioptimalkan untuk kondisi lingkungan madrasah. Kontribusi utama penelitian ini adalah menghadirkan solusi absensi yang efisien, akurat, dan kontekstual terhadap kebutuhan lembaga pendidikan keagamaan. Kata Kunci – Absensi Otomatis; Face Recognition; Convolutional Neural Network; OpenCV 
PENERAPAN ALGORITMA FAST CORNER DETECTION SEBAGAI MEDIA PEMBELAJARAN BUDI PEKERTI PADA SISWA KELAS IV Helvy Aurilia; Ismail Abdurrozzaq Zulkarnain; Khoiru Khoiru Nurfitri
Jurnal Informatika dan Teknik Elektro Terapan Vol. 14 No. 3 (2026)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v14i3.10761

Abstract

Character education in elementary schools is still dominated by lecture methods, so students are less interested and have difficulty understanding the material optimally. This study aims to develop computer vision- based character education media with a markerless approach using the FAST Corner Detection algorithm to improve the understanding of fourth grade students. The research method used is the Multimedia Development Life Cycle (MDLC) which includes the stages of concept, design, material collecting, assembly, testing, and distribution . The application was developed using Unity and Vuforia on the Android platform, then tested through Black Box Testing , distance, angle, light intensity testing, User Acceptance Testing (UAT), USE Questionnaire , and pre-test and post-test analysis . The results showed that all application functions ran well. The FAST Corner Detection algorithm was able to detect images optimally at light intensities of 11–20 lux to 26,378–29,413 lux. The average pre-test score increased from 73.75 to 91.25 in the post-test , indicating an increase in student understanding after using the application. The UAT and USE Questionnaire results also demonstrated excellent acceptance and user experience. Therefore, the developed learning media is suitable for use as a more interactive, engaging, and effective alternative for character education for fourth-grade students. Character education in elementary schools is still dominated by lecture methods, so students are less interested and have difficulty understanding the material optimally. This study aims to develop computer vision-based character education media with a markerless approach using the FAST Corner Detection algorithm to improve the understanding of fourth-grade students. The research method used is the Multimedia Development Life Cycle (MDLC) which includes the stages of concept, design, material collecting, assembly, testing, and distribution. The application was developed using Unity and Vuforia on the Android platform, then tested through Black Box Testing, distance, angle, light intensity testing, User Acceptance Testing (UAT), USE Questionnaire, and pre-test and post-test analysis. The results showed that all application functions ran well. The FAST Corner Detection algorithm was able to detect images optimally at light intensities of 11–20 lux to 26,378–29,413 lux. The average pre-test score increased from 73.75 to 91.25 in the post-test, indicating an increase in student understanding after using the application. The UAT and USE Questionnaire results also demonstrated excellent acceptance and user experience. Therefore, the developed learning media is suitable for use as a more interactive, engaging, and effective alternative for character education for fourth-grade students.
PENGAMANAN DATA PELANGGAN SISTEM INFORMASI PROVIDER WIFI MENGGUNAKAN ALGORITMA AES-128 MODE CIPHER BLOCK CHAINING Muhammad Andara Ghazy Ar Ramadhan; Ismail Abdurrozzaq Zulkarnain; Adi Fajaryanto Cobantoro
INTI Nusa Mandiri Vol. 21 No. 1 (2026): INTI Periode Agustus 2026
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v21i1.8720

Abstract

The increasing use of web-based information systems by Internet Service Providers (ISPs) has increased the need to protect customers' personal data from unauthorized access and misuse. This study aims to implement the Advanced Encryption Standard (AES-128) algorithm in Cipher Block Chaining (CBC) mode to improve customer data security in a web-based WiFi provider information system. The system was developed using the Waterfall method, including requirement analysis, system design, implementation, testing, and maintenance. Customer data were encrypted before being stored in the database and decrypted when users with access rights can view it. System validation was conducted using White Box Testing with the Path Testing technique. Based on the test results, the plaintext "ANDARA1234567890" can be processed into the ciphertext "539E82687FC3424ADA78E95A877AE37E7DE45E3AEA0B76E97D26D3C15152E74B" using the AES-128 algorithm in CBC mode. Through the decryption process, the ciphertext can be restored to its original plaintext form without altering the data, while all independent paths can be executed according to the logic flow designed for the program. Therefore, the implementation of AES-128 in CBC mode supports the confidentiality of customer data in a web-based WiFi provider information system through the applied encryption mechanism.
Co-Authors Adi Fajaryanto Cobantoro Farah Afi Febriyanti Helvy Aurilia Indah Puji Astuti Khoiru Khoiru Nurfitri Muhammad Andara Ghazy Ar Ramadhan