Transformasi Lontar Babad Lombok Menuju Digitalisasi Berbasis Natural Gradient Flexible (NGF)

Penulis

  • Muhammad Tajuddin Anwar Universitas Bumigora
  • Syahroni Hidayat Universitas Bumigora
  • Ahmat Adil Universitas Bumigora

DOI:

https://doi.org/10.25126/jtiik.2021824088

Abstrak

Suku Sasak, yang tinggal di pulau Lombok Nusa Tenggara Barat, memiliki tradisi penulisan di daun lontar (Borassus Flabellifer) kering, salah satunya adalah naskah Lontar Babad Lombok. Naskah Lontar Babad Lombok seiring berlalunya waktu, menjadi rapuh dan mudah patah sehingga memerlukan perawatan. Keadaan ini mendorongnya perlu dilakukan digitalisasi naskah lontar babad lombok sebagai bentuk pelestarian sehingga para generasi Milenial, khususnya di Lombok, dapat menikmati lontar babad lombok. Digitalisasi citra tersebut tantangan utama adalah tepi kabur teks dan perbedaan minimum antara teks dan bagian non-tekssebagai akibat dari proses perawatan. Oleh karena itu, dibutuhkan proses peningkatan kualitas citra hasil digitalisasi agar tulisan dapat lebih jelas terbaca. Salah satu metode yang terbukti mampu untuk memisahkan teks dari latar belakang yang sangat berkorelasi adalah Natural Gradient Flexibel (NGF) berbasiskan Independent Component Analysis (ICA), NGF-ICA. Penelitian ini bertujuan untuk melakukan peningkatan kualitas citra digitalisasi sebelum diumpankan pada database dan sistem informasi yang telah dibangun. Kualitas citra yang telah ditingkatkan diukur menggunakan metode MSE dan PSNR untuk tingkat kemiripannya, dan metode Entropi dan SSIM untuk informasi dan perspektif visual. Hasil penelitian menunjukkan bahwa penerapan algoritma NGF-ICA dapat memberikan citra keluaran dengan kualitas yang tinggi dengan nilai rata-rata MSE, PSNR, SSIM dan peningkatan Entropi sebesar 708, 19.95 db, 0.87 dan 0.45, secara berturut-turut.

 

Abstract

Sasak tribe, who lives on Lombok Island, West Nusa Tenggara, has been writing manuscripts on dry palm leaves (Borassus Flabellifer) as a tradition, one of the manuscripts is Lontar Babad Lombok. As time pass by, the manuscript becomes brittle and breaks easily, therefore maintenances are required. this situation force the need to digitalize the manuscript as an act of preservation, hence the millennial generation, especially on Lombok Island, can enjoy the manuscript. the main challenge is the blurry edge of the text and the slight difference between the text and non-text part caused by the treatment process. Hence, it is needed to enhance the quality of the digitalize image to make the manuscript can be more clearly read. One of the proven methods that able to separate text from highly correlated backgrounds is Natural Gradient Flexibel (NGF) based on Independent Component Analysis (ICA), NGF-ICA. The aim of this study is to improve the quality of the digitized images before they fed into the database and information system that has been built. The enhanced image quality was measured, MSE and PSNR methods were used to measure the similarity level, and the Entropy and SSIM method were used to measure the information and visual perspective. The results show that the application of the NGF-ICA algorithm can generate high-quality output images with average values of MSE, PSNR, SSIM, and increasing Entropy by 708, 19.95 dB, 0.87, and 0.45, respectively.


Downloads

Download data is not yet available.

Referensi

AMARI, S.I., 1999. Natural gradient learning for over- and under-complete bases in ICA. Neural Computation, 11(8), pp.1875–1883.

AUSTIN, P.K., 2010. Reading the Lontars: Endangered literature practices of Lombok, eastern Indonesia. Language Documentation & Description, 8(Special issue on oral literature and language endangerment), pp.27–48.

AWANGE, J., PALÁNCZ, B. & VÖLGYESI, L., 2020. Hybrid Imaging and Visualization - Employing Machine Learning with Mathematica-Python. 1st ed. Cham, Switzerland: Springer International Publishing.

CHEN, S. DER, 2012. A new image quality measure for assessment of histogram equalization-based contrast enhancement techniques. Digital Signal Processing: A Review Journal, [online] 22(4), pp.640–647. Available at: <http://dx.doi.org/10.1016/j.dsp.2012.04.002>.

DICKEL, S. & SCHRAPE, J., 2017. The Logic of Digital Utopianism. Springer Science+BusinessMedia Dordrecht 2017.

EDIYONO, S. & RIDWAN, M., 2018. Cross-Cultural Communication in Lombok Society ’ s Writing Tradition : Babad Lombok Manuscript. In: International Seminar On Recent Language, Literature, And Local Culture Studies (BASA 2018). pp.548–552.

EVGENY KUZMIN, 2012. Information Preservation : Past , Present and Future. In: Preservation of Digital Information in the Information Society. pp.24–40.

GONZALEZ, R.C., WOODS, R.E. & EDDINS, S.L., 2009. Digital Image Processing Using Matlab. Second Edi ed. USA: Gatesmark Publishing.

HUSAIN & TAJUDDIN, M., 2018. Digitalisasi Naskah Kuno Sasak Untuk Menjaga dan Melindungi, dan Melestarikan Budaya Berbasis Web. In: Seminar Nasional Saint dan Teknologi (SNST 9) UNWAHAS Tahun 2018. pp.46–52.

MASUDA, Y. & WHANG, S., 2019. Digitization and profitability. Information Systems and e-Business Management, (0123456789).

NARENTHIRAN, R., SARAVANAN, G. & RAMANUJAM, K., 2012. The Digitization of Palmleaf Manuscripts. In: Proceedings of the National Conference on Innovative Library Services in Digital Era. pp.457–462.

PAPER, C., SCARPINITI, M., PARISI, R. & UNCINI, A., 2008. A Flexible Natural Gradient Approach to Blind Separation of Complex Signals. In: Frontiers in Artificial Intelligence and Application.

SANJAYA MISHRA, 2012. Preservation of Digital Information. In: Preservation of Digital Information in the Information Society. pp.9–23.

SREEDEVI, I., PANDEY, R., JAYANTHI, N., BHOLA, G. & CHAUDHURY, S., 2013. NGFICA Based Digitization of Historic Inscription Images. ISRN Signal Processing, 2013, pp.1–7.

TAJUDDIN, M., ADIL, A., HIDAYAT, S., ABIDIN, Z. & ARDI, R.F.P., 2019. Naskah Lontar Sasak di Era Industri 4.0 Berbasis Cots Method. In: Seminar Nasional Sains dan Teknologi (SNST 10) UNWAHAS Tahun 2019. pp.194–199.

TAJUDDIN, M., BERMANSYAH & ANGGRENI, 2016. Rancang Bangun Digitalisasi Naskah Kuno Sasak Lombok. In: SEMNASTIKOM 2016. pp.589–594.

WANG, Z., BOVIK, A.C., SHEIKH, H.R. & SIMONCELLI, E.P., 2004. Image quality assessment: From error visibility to structural similarity. IEEE Transactions on Image Processing, 13(4), pp.600–612.

WANG, Z. & LI, Q., 2011. Information Content Weighting for Perceptual Image Quality Assessment. IEEE Transactions on Image Processing, 20(5), pp.1185–1198.

Diterbitkan

25-03-2021

Terbitan

Bagian

Ilmu Komputer

Cara Mengutip

Transformasi Lontar Babad Lombok Menuju Digitalisasi Berbasis Natural Gradient Flexible (NGF). (2021). Jurnal Teknologi Informasi Dan Ilmu Komputer, 8(2), 275-282. https://doi.org/10.25126/jtiik.2021824088