Article Per Year (5 Year)
p-Index From 2021 - 2026
2.195
P-Index
This Author published in this journals
All Journal Jurnas Nasional Teknologi dan Sistem Informasi Jurnal Komputer Terapan IT JOURNAL RESEARCH AND DEVELOPMENT Seminar Nasional Teknologi Informasi Komunikasi dan Industri JOURNAL OF APPLIED INFORMATICS AND COMPUTING Dinamisia: Jurnal Pengabdian Kepada Masyarakat JURNAL ILMIAH INFORMATIKA JMM (Jurnal Masyarakat Mandiri) Jurnal ULTIMA InfoSys Jurnal J-PEMAS JUSTIN (Jurnal Sistem dan Teknologi Informasi) Journal Of Agribusiness, Social and Economic Jurnal Pengabdian Kompetitif
Surya, Ibnu
Politeknik Caltex Riau
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mathematics Social Sciences Other

Published : 21 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : journal of applied informatics and computing

 1 
Implementasi User Management Pada Laboratorium Dengan Primary Domain Controller Linux Dhiemas Aditya Oktara; Rahmat Suhatman; Ibnu Surya
Journal of Applied Informatics and Computing Vol 3 No 2 (2019): Desember 2019
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1296.573 KB) | DOI: 10.30871/jaic.v3i2.1347

Abstract

The development of network technology now allows many applications that can be done with computer networks. This can be seen from the needs of educational institutions for computer networks. One of them is the Polytechnic Caltex Riau (PCR). The use of computers in the laboratory has not yet applied the concept of user management, so that the data stored on the computer can be accessed by more than one user which causes data to be reduced further. One way to overcome this problem is to implement a Primary Domain Controller (PDC), a server that can store and manage computer activities. Requires the client to have an account to log in to the computer and have their own storage media. From the test results obtained by the average received users log in, directory access and application by 96% and from the results of tests that have been done on average to CPU usage of 4% and memory usage by 37%. Can reduce from testing carried out to 30 users, using CPU and memory increases along with the number of clients who carry out activities and it takes a pause when logging in so that all users can access the server.
Analysis of Illumination Invariant Method for Face Detection in Different Lighting Variations Ivan Chatisa; Siti Syahidatul Helma; Ibnu Surya
Journal of Applied Informatics and Computing Vol. 10 No. 3 (2026): June 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i3.12731

Abstract

Lighting quality is a crucial factor that affects the performance of camera-based face detection systems, especially in CCTV surveillance systems that operate in low or uneven lighting conditions. This study aims to analyze the performance of illumination-invariant preprocessing methods in improving the accuracy of human face detection under various lighting conditions. Three preprocessing approaches were compared, namely Histogram Equalization (HE), Gamma Correction (GC), and a hybrid method that combines both (GC+HE). The dataset used consists of 1415 human face images taken using a webcam with variations in five lighting conditions, four face directions, and three shooting distances. All images were processed using the Haar Cascade Classifier algorithm as the face detection method. Performance evaluation was conducted using accuracy, precision, recall, and confusion matrix analysis metrics. The test results showed that the hybrid method provided the best performance with a precision of 92.79%, accuracy of 87.49%, and recall of 89.61%, compared to the HE and GC methods used individually. This improvement indicates that the combination of lighting normalization and contrast enhancement can produce more stable and informative facial images for the detection process. The findings of this study indicate that the hybrid-based illumination invariant approach is very effective for application in real-time visual surveillance systems, especially in environments with limited lighting.
Co-Authors Adin Saf, Maksum Ro'is Agus Urip Ari Wibowo Ananda Ananda Ananda Tri Putra Anggy Trisnadoli Dewi, Tria Rosana Dhiemas Aditya Oktara Disa Putri, Tiara Ayu Dwi Putra, Nanda Fadhly Rida, Muhammad Arif Fani, Ridho Hawali Gebriani Amanda Putri Harumin Harumin Intan Sandra Yatana Saputri Irgi Yoga Pangestu Irma Wardani Ivan Chatisa Jan Alif Kreshna Juni Nurma Sari Kartina Diah K. W. Keken Melfasoni Khairul Umam Syaliman Maksum Rois Adin Saf Mardhiah Fadhli, Mardhiah Muhammad Ihsan Zul Panjaitan, Yoel Puja Hanifah Purnamasari, Devi Rahmat Suhatman Rika Perdana Sari, Rika Perdana Robert Robert Sapriadi, Sapriadi Satria Perdana Arifin Shelly Angella Silvana Rasio Henim Siti Syahidatul Helma Solikah, Umi Nur Suffanda, Zeri Suhatman, Rahmat Suwardi Tasya, Raudatul Thesa Nabila Balqis Pardede Weslie Weslie Yoanda Alim Syahbana Yoshandi, Tengku Mohammad Yuli Fitrisia Zainal Arifin Renaldo