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All Journal JSI: Jurnal Sistem Informasi (E-Journal) JUTI: Jurnal Ilmiah Teknologi Informasi MUSTEK ANIM HA RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Inotera Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Jurnal Sistem Cerdas JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Ilmiah Tatengkorang Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA ) Indonesian Journal of Electrical Engineering and Computer Science Budimas : Jurnal Pengabdian Masyarakat Jurnal Pengabdian Masyarakat Multidisiplin Elektrika Borneo Jurnal Pengabdian Masyarakat Jurnal Ilmu Komputer dan Teknologi (IKOMTI) Jurnal Borneo Informatika dan Teknik Komputer (JBIT)
Awang Pradana, Awang
Universitas Borneo Tarakan
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THE APPLICATION OF THE MULTI-OBJECTIVE OPTIMIZATION ON THE BASIS OF SIMPLE RATIO ANALYSIS METHOD IN A DECISION SUPPORT SYSTEM FOR PROSPECTIVE UBT STUDENT ASSOCIATION CHAIR CANDIDATES Awang Pradana; Arif Fadllullah; Agung Prasetya; Fadliansyah Fadliansyah
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 2 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i2.8227

Abstract

Decision Support Systems (DSS) have become essential tools in the de-cision-making process across various fields. In the context of selecting the chairman of the Computer Engineering Student Association at Uni-versitas Borneo Tarakan, the use of DSS is also highly relevant and beneficial. The MOOSRA (Multi-Objective Optimization on the basis of Ratio Analysis) method has been chosen as the approach to implement this decision support system. This study aims to apply the MOOSRA method in the implementation of a web-based decision support system for the selection of prospective chairpersons of the Computer Engineer-ing Student Association at Universitas Borneo Tarakan. The MOOSRA method is utilized to consider several criteria, such as leadership skills, communication abilities, dedication, and organizational experience. In this research, the use of MOOSRA is combined with web technology to enhance the efficiency and quality of the candidate selection process. The MOOSRA method offers a structured and objective approach to evaluating candidates for the chairmanship. This approach involves ratio analysis and multi-objective optimization to produce better out-comes. The results of this study are expected to facilitate a fairer and more objective selection process, as well as to improve student satisfac-tion within the Computer Engineering Student Association at Universi-tas Borneo Tarakan.
A WEB-BASED STEGANOGRAPHY FRAMEWORK USING DISCRETE COSINE TRANSFORM FOR SECURE STUDENT DATA MANAGEMENT Awang Pradana; Nur Sartina
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 4 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i4.9329

Abstract

The objective of the research was to implement the method of secure data storage through the use of steganography techniques using the Discrete Cosine Transform (DCT) method. The impetus for the research is the increasing threat to the security and confidentiality of student data, such as unauthorized file deletion, data theft, unauthorized data use, and data utilization for unintended purposes. The research applied the ADDIE Research and Development (RD) model, which consists of the following five stages: Analysis, Design, Development, Implementation, and Evaluation. The system uses a modified DCT coefficient at position (2,1) with thresholds of 12.0 for embedding and 6.0 for extraction on 8×8 pixel blocks, following IEEE standards. The dataset comprised 14 images corresponding to various personal data files of Computer Engineering students, such as family cards, ID cards, and birth certificates. The system was implemented using the Laravel framework integrated with Python scripts for DCT algorithm processing. Experimental and questionnaire-based testing with 14 respondents demonstrated that the system achieves high imperceptibility, with an average MSE of 2.847 and PSNR of 46.89 dB. The system achieved an average embedding time of 67.8 ± 54.2 seconds and extraction time of 34.2 ± 22.8 seconds, with throughput rates of 1.068 kbit/s for embedding and 1.908 kbit/s for extraction. The overall extraction success rate reached 50%, with 100% success for "Excellent" images and 22.2% for "Good" images. Usability testing yielded an average user satisfaction score of 4.54/5.0, with the highest rating for visual design (4.79).
Co-Authors Agung Gunawan Agung Prasetya Agung Prasetya Andri Efendy Annida Zakkiah Az-zahra Arif Fadllullah Arjuna Pramudya Renaldi Asran Asran Brigita, Brigita Dedy Harto Dedy Harto Deswita, Felisia Edy Utomo Fadliansyah Fadliansyah Fadliansyah Fadllullah, Fadllullah Gilberd Lamuel Sihite Gresia, Celsia Hanif, Kharis Hudaiby Ismanto, Rahmat Jabir Anshari Joni Joni Junior, Saputra Mandela, Nelson Muhammad Firdaus muhammad rizky, muhammad Muhammad Yusuf Muhammad Zidan Fariz Murdianto, Deny Nur Sartina Oktavian, Fajar Perangin Angin, Nur Hasanah Radiansyah Radiansyah Rahmat, Rizal Rudy Salya Rater Sartina, Nur Senia Rombe Pabuntang Syaiful Nugraha Tegar Palyus Fiqar Tegar Palyus Fiqar Tengku Musri Uways Al-Qorny Yarbania Stesya Sikit. Y Yudhistira Akbar, Muhammad Adhiya Yulastri, Yeyen Zulfia, Rahmatuz