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All Journal Jurnal Informatika Universitas Pamulang International Journal of Computer and Information System (IJCIS) Electron: Jurnal Ilmiah Teknik Elektro International Journal of Multidisciplinary Sciences and Arts Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Jurnal Rekayasa Sistem Informasi dan Teknologi Journal of Information Systems Management and Digital Business Kesejahteraan Bersama : Jurnal Pengabdian dan Keberlanjutan Masyarakat Advance Sustainable Science, Engineering and Technology (ASSET)
Putri Ariatna Alia
Universitas Anwar Medika
Agriculture, Biological Sciences & Forestry Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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Journal : International Journal of Multidisciplinary Sciences and Arts

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Comparative Study of Normalization Methods for DEMNAS Elevation Data to Grayscale Representation for 3D Terrain Visualization Yohan Kartiko, Erik; Teguh Setyadi, Agung; Alfanio Atmoko, Rizky; Suryo Prayogo, Johan; Ariatna Alia, Putri
International Journal of Multidisciplinary Sciences and Arts Vol. 4 No. 3 (2025): International Journal of Multidisciplinary Sciences and Arts, Article July 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v4i3.6717

Abstract

This study presents a comprehensive comparative analysis of seven normalization techniques applied to DEMNAS (Digital Elevation Model Nasional) elevation data for grayscale image conversion, essential in 3D terrain visualization and 3D printing. The methods compared are Min-Max Scaling, Z-Score Scaling, Logarithmic Transformation, Square Root, Power (Gamma), Sigmoid, and Arctangent normalization. Using QGIS and Python, elevation data were transformed into grayscale images with pixel values ranging from 0 to 255, representing topographic variation. Visual, statistical, and histogram-based analyses reveal that Min-Max scaling and Arctangent normalization provide the most balanced grayscale distribution and topographic contrast. Logarithmic and Gamma methods emphasize lower elevations, while Z-Score and Sigmoid are more centered around mean values. This study confirms that normalization choice significantly affects terrain visualization quality and should be tailored to specific data characteristics and application contexts.
Co-Authors Agung Budi Setyawan, Agung Budi Alfanio Atmoko, Rizky Anita Farida, Elis Bernadus Gunawan Sudarsono Cahyono, Warna Agung Dian Kartika Sari Fahruddin, Agus Fathoni, Mohammad Febriana, Rusina Widha Johan Suryo Prayogo Kartiko, Erik Yohan Kriswibowo, Rony Lieztyanto, Yeeryzkhe Githasari Meisyarani, Jihan Salsabila Mufid, Mohammad Robihul Nur Azis Prayogo, Johan Suryo Purwo Agus Sucipto Rony Kriswibowo Rony Kriswibowo Rusina Widha Febriana Sani, Rosi Rijal Selfya Ningrum Setyadi, Agung Teguh Shodikin, Mohamad Suryo Prayogo, Johan Teguh Setyadi, Agung