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All Journal JSAI (Journal Scientific and Applied Informatics) Informanika Jurnal Ilmu Komputer Dan Informatika Jurnal Pengabdian Kepada Masyarakat Inovasi Teknologi Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Digital dan Rekayasa Informatika (JARDIRA) Journal of Engineering and Technology Innovation
Nia Umilizah
Universitas Sjakhyakirti
Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Transportation Other

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Journal : jsai journal scientific and applied informatics

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Pengukuran Perencanaan Strategis Sistem Informasi Pada Universitas Sjakhyakirti Ade Sukma Wati; Mariana Purba; Nia Umilizah; Lemi Iryani
JSAI (Journal Scientific and Applied Informatics) Vol 7 No 1 (2024): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v7i1.6079

Abstract

This study examines the performance of information systems at Unisti based on aspects of Corporate Contribution, User Orientation, Operational Excellence, and Future Orientation. By achieving level 4.0 in several aspects, Unisti has succeeded in making a positive impact through the implementation of IT systems that improve operational efficiency, user satisfaction, and the future vision of the university. Nonetheless, user evaluations also identify some shortcomings that need to be addressed and improved to achieve excellent IT/SI quality. Awareness of the need for continuous evaluation and future innovation is key in ensuring that IT/SI remains an effective tool in supporting the achievement of the university's vision and mission. IT implementation at Sjakhyakirti University as a whole achieved an adequate level of achievement, with 75% from the perspective in the IT Balanced Scorecard considered to have been well implemented
Klasifikasi Spesies Ikan di Sumatera Selatan Berdasarkan Citra Bawah Air Menggunakan ResNet-50 Lemi Iryani; Nia Umilizah; Firga Abel Astiawan; Muhammad Al Hapiz
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 3 (2025): November
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i3.9389

Abstract

Fish species classification in underwater ecosystems posed a significant challenge, particularly due to poor lighting that affected the quality of underwater images and decreased the accuracy of species identification. This study aimed to improve the accuracy of fish species classification in South Sumatra based on underwater images by utilizing the Super-Resolution Generative Adversarial Network (SRGAN) to enhance image quality and ResNet-50 for species classification. The research employed a Dell XPS 13 9310 device with an Intel Core i7 processor and 16GB of RAM for model training. Fish image data were collected from Google Images and YouTube according to predefined fish species, including Oreochromis mossambicus (Mujair), Oreochromis niloticus (Nila), Johnius trachycephalus (Gulamah), Eleutheronema tetradactylum (Senangin), and Chanos chanos (Bandeng). The data was divided into 70% for training, 15% for validation, and 15% for testing. The experimental results showed that the developed model achieved a training accuracy of 94.10%, validation accuracy of 88.25%, and testing accuracy of 84.68%. This research contributed to the field of underwater image classification and can be applied to conservation and monitoring of fish species in aquatic ecosystems.
Co-Authors Ade Sukma Wati Ade Sukma Wati Andika Azhar Andika Putra Bakhtiar Darmo, Cahyo Pambudi Firga Abel Astiawan Herlambang Lambardo, Fakhri Lemi Iryani Lemi Iryani Mariana Purba Marissa Utami Muhammad Al Hapiz Octavia, Pipin Putri Maharani Rudiansyah