Desain Scanner untuk Digitalisasi Naskah Lontar Aksara Sasak dengan Smart Phone Menggunakan Black Box Testing

  • Andi Sofyan Anas Universitas Bumigora
  • Muhammad Tajuddin
  • R. Fanny Printi Ardi
Keywords: Scanner, digitalization, Lontar, script, sasak

Abstract

Lontar is one of the cultural heritages that has information about the history of the Sasak civilization in Lombok, NTB in the past. The problem currently being faced is the lontar which is not well maintained. While the lontar used as Sasak script will wear out soon, because it is not durable. Utilization of technology is one of the media that can be used as a solution to overcome these problems. The process of digitizing letters is carried out. The use of technology will make the lontar into a digital form and will not be obsolete if the lontar is stored for a long time and the information contained in the lontar can be protected for a long time. This study presents the reconstruction of the Ancient Sasak Lontar Manuscript using scanning technology, which is used to obtain point cloud data from ancient structures, and modeling methods built using point cloud data. This study describes the use of the point cloud data acquisition process using terrestrial and native measurement point cloud measurements (to eliminate point noise, smoothing, data registration, object extraction, and so on.) the information is correct and the target structure is complete, and then builds a Sasak ejection surface model of triangular meshes, texture mapping of real models obtained through photographs. Testing is done by black box testing and all data entered is tested with various data that are not in accordance with the rules. Black Box Testing is done by testing scanners and applications without seeing/knowing the internal structure of the scanner and software.

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Published
2022-11-30
How to Cite
[1]
A. S. Anas, M. Tajuddin, and R. F. P. Ardi, “Desain Scanner untuk Digitalisasi Naskah Lontar Aksara Sasak dengan Smart Phone Menggunakan Black Box Testing”, jtim, vol. 4, no. 3, pp. 186-196, Nov. 2022.
Section
Articles