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All Journal JITK (Jurnal Ilmu Pengetahuan dan Komputer) JSAI (Journal Scientific and Applied Informatics) Informanika Jurnal Sistem Informasi Dan E-Bisnis Jurnal Ilmu Komputer Dan Informatika Jurnal Pengabdian Kepada Masyarakat Inovasi Teknologi Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Digital dan Rekayasa Informatika (JARDIRA)
Mariana Purba
Universitas Sjakhyakirti
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Journal : JSAI (Journal Scientific and Applied Informatics)

 1 
Komparasi Hasil Color Feature Extraction HSV, LAB dan YCrCb pda Algoritma SVM untuk Klasifikasi Spesies Burung Sarwati Rahayu; Andi Nugroho; Erwin Dwika Putra; Mariana Purba; Hadiguna Setiawan; Sulis Sandiwarno
JSAI (Journal Scientific and Applied Informatics) Vol 6 No 3 (2023): November
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v6i3.5920

Abstract

The classification of bird species is a problem often faced by ornithologists, and has been considered scientific research since antiquity. This study aims to evaluate the results of color feature extraction including HSV, LAB and YCrCb against the results of the SVM classification. In addition, the results of this study are useful to determine the performance of color feature extraction that is suitable for bird species classification. The dataset used was 22,617 bird species images. Based on experimental results, the effect of HSV on the SVM classification caused a decrease in accuracy by -0.33% while LAB and YCrCb on the SVM classification caused an increase in accuracy of 0.44% and 0.21%. However, the accuracy of the SVM classification does not yet have good performance so that further research will be carried out using other classifications, including convolutional neural networks and others.
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
Co-Authors Ade Sukma Wati Agrinda Ghaniya Andi Nugroho Ayumi, Vina Bakhtiar Bakhtiar .K Bakhtiar K Cahyo Pambudi Darmo Dwi Fitri Brianna Erlangga Hadiguna Setiawan Herlambang Kemas Welly Angga Permana Lemi Iryani Lemi Iryani Lemi Iryani M. Syidik Rizky Marissa Utami Nia Umilizah Nia Umilizah Noprisson, Handrie Nur Ani Octavia, Pipin Paisal Pipin Octavia Putra, Erwin Dwika Putri Maharani Rudiansyah Rudiansyah Rudiansyah Sarwati Rahayu Sulis Sandiwarno Syamsiar, Syamsiar Vina Ayumi Yadi