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All Journal IJID (International Journal on Informatics for Development) JISKa (Jurnal Informatika Sunan Kalijaga)
Raffiudin, Muhammad
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Computer Science & IT Electrical & Electronics Engineering Library & Information Science

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The WASPAS Method in Determining BSM Recipients Objectively Tundo, Tundo; Wijonarko, Panji; Raffiudin, Muhammad
IJID (International Journal on Informatics for Development) Vol. 12 No. 1 (2023): IJID June
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2023.4089

Abstract

This research was conducted due to complaints from several parents regarding the determination of BSM at SDN Karanganyar 02 which still contains subjectivity in its selection so that some students are less fortunate. SDN Karanganyar 02, once a year always carries out activities related to determining the selection of BSM recipients. With this activity, it is hoped that students who are underprivileged but have fairly good achievements can receive this BSM so that the activities they carry out do not feel burdened with financial needs. The fact is that in institutions there are still many students who do not get BSM, even though according to the requirements these students should be eligible to get BSM. So in the selection that occurs there is a very irrational subjectivity. To solve this problem, the researcher tries to make a solution through an application that applies the Weight Aggregated Sum Product Assessment (WASPAS) method, which is a method of determining with predetermined criteria. The criteria in question are activities, achievements, report cards, parental income, home conditions, and parental dependents. After analyzing and implementing the WASPAS Decision Support System, it was found that the results were detrimental to students where the criteria scores and final determination were lower than some other students, but the SD carried out an assessment by obtaining BSM. To prevent this incident from recurring, WASPAS is very capable of answering objective determinations with the results obtained at 79.88% and the previous subjective determination at 20.12%.
Revitalizing Art with Technology: A Deep Learning Approach to Virtual Restoration Putranti, Nurrohmah Endah; Chang, Shyang-Jye; Raffiudin, Muhammad
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 10 No. 1 (2025): January 2025
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiska.2025.10.1.87-99

Abstract

This study evaluates CycleGAN’s performance in virtual painting restoration, with a focus on color restoration and detail reproduction. We compiled datasets categorized by art style and condition to achieve accurate restorations without altering the original reference materials. Various paintings, including those with a yellow filter, are used to create effective training datasets for CycleGAN. The model utilized cycle consistency loss and advanced data augmentation techniques. We assessed the results using PSNR, SSIM, and Color Inspector metrics, focusing on Claude Monet’s “Nasturtiums in a Blue Vase” and Hermann Corrodi’s “Prayers at Dawn.” The findings demonstrate superior color recovery and preservation of intricate details compared to other methods, confirmed through quantitative and qualitative evaluations. Key contributions include the application of CycleGAN for art restoration, model evaluation, and framework development. Practical implications extend to art conservation, digital library enhancement, art education, and broader access to restored works. Future research may explore dataset expansion, complex architectures, interdisciplinary collaboration, automated evaluation tools, and improved technologies for real-time restoration applications. In conclusion, CycleGAN holds promise for digital art conservation, with ongoing efforts aimed at integrating across fields for effective cultural preservation.
Co-Authors Chang, Shyang-Jye Putranti, Nurrohmah Endah Tundo, Tundo Wijonarko, Panji