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All Journal Journal of Information Systems and Technology (JISTech) Jurnal Fisika
Arysespajayadi
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Computer Science & IT Control & Systems Engineering Physics

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Penerapan Metode SAW untuk Penentuan Pemenang Lomba Desain Grafis Arysespajayadi; Nisa Miftachurohmah; Melda Agnes Manuhutu
JISTech : Journal of Information Systems and Technology Vol. 1 No. 2 (2024): Desember 2024
Publisher : Perhimpunan Ahli Teknologi Informasi dan Komunikasi Indonesia

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Abstract

The evaluation of graphic design competitions often faces challenges related to jury subjectivity, which can affect the final results and lead to dissatisfaction among participants. This study aims to apply the Simple Additive Weighting (SAW) method in the scoring system of graphic design competitions to achieve more objective and transparent assessments. The SAW method is used to evaluate participants based on four main criteria: aesthetics, originality, theme relevance, and technical quality. Each criterion is assigned a weight according to its level of importance, and preference values are calculated to determine the winner. The results of the study show that the application of the SAW method successfully reduces subjective bias and increases consistency in scoring. Participants with the highest preference values are selected as the winners, with the system facilitating a more objective evaluation process. This research also contributes to the development of more transparent assessment systems in various creative competitions. However, determining the weighting of criteria remains a challenge that requires further discussion between judges and organizers.
Identification of Brain Areas Associated with Chronic Neuropathic Pain through Hjorth Parameter Analysis of EEG Signals Asyrafi, Hilman; Handayani, Nita; Ilmawan, Lutfi Budi; Shabir, Fadly; Jamal, Ridwan; Jannah, Miftahul; Arysespajayadi
Jurnal Fisika Vol. 15 No. 2 (2025): Jurnal Fisika 15 (2) 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jf.v15i2.24512

Abstract

This study investigates the neurophysiological signatures of chronic neuropathic pain (CNP) through the analysis of EEG signals using Hjorth parameters (Activity, Mobility, and Complexity). We compared EEG recordings from 36 CNP patients with those from 19 healthy controls (HC) under both eyes-open and eyes-closed conditions. Analysis of 19 electrode locations revealed significant differences between the groups across all Hjorth parameters. The Activity parameter showed dramatic elevations in CNP patients across all brain regions, indicating widespread cortical hyperexcitability. Mobility parameters revealed significant alterations particularly in occipital (O2), central midline (Cz), and parietal (Pz) regions, with strong effect sizes (Cliff's delta > 0.7). Complexity parameters demonstrated significant changes in right temporal (T4) and parietal midline (Pz) areas. The combined analysis identified the parietal cortex, temporal regions, occipital cortex, and central midline as key areas associated with CNP, suggesting a distributed network disruption rather than localized dysfunction. These findings contribute to our understanding of the neural mechanisms underlying chronic neuropathic pain and may support the development of objective diagnostic markers and targeted interventions for this debilitating condition.
Co-Authors Asyrafi, Hilman Handayani, Nita Jamal, Ridwan Lutfi Budi Ilmawan, Lutfi Budi Melda Agnes Manuhutu Miftahul Jannah Nisa Miftachurohmah Shabir, Fadly