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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Perwira Journal of Economics and Business (PJEB)
Putriana Nuramanah Kinding, Dwi
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Computer Science & IT Economics, Econometrics & Finance

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Improving Tesseract OCR Accuracy Using SymSpell Algorithm on Passport Data Had, Iqbaluddin Syam; Maulana Baihaqi, Wiga; Putriana Nuramanah Kinding, Dwi
Sinkron : jurnal dan penelitian teknik informatika Vol. 9 No. 1 (2025): Research Article, January 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i1.14395

Abstract

Optical Character Recognition (OCR) is a technology used to recognize text from images or digital documents, such as passports. One popular OCR tool is Tesseract as it offers high accuracy. However, OCR accuracy is often affected by various factors, including image noise and/or non-text elements. This article discusses the application of the SymSpell algorithm for post processing to improve OCR accuracy on standard Indonesian passports. OCR will be focused on the Visual Inspection Zone, specifically the Place of Birth and Issuing Office values. Unlike the Machine Readable Zone which is composed of individual codes and a clear background, the Visual Inspection Zone often experiences OCR errors due to holograms blocking the text and spaced layouts. SymSpell is an edit distance based spelling correction algorithm designed to process data quickly and efficiently, even on very huge datasets. In this study, SymSpell is used to detect and correct errors in OCR results that are compared to a corpus word list. Experimental results with 10 tested scans and passport photos showed that the integration of SymSpell with the Research and Development methodology was able to improve the OCR accuracy rate by 21,43% for certain Place of Birth and Issuing Office data from the Visual Inspection Zone. With this approach, OCR systems can provide more reliable results for practical applications.
ANALISIS KONTRIBUSI EKSPOR KOPI TERHADAP PDB SEKTOR PERKEBUNAN DI INDONESIA suwali, suwali; Hendri Putranto, Afif; Bintang Panunggul, Victor; Putriana Nuramanah Kinding, Dwi; Noviani, Faizah
Perwira Journal of Economics & Business Vol 2 No 2 (2022)
Publisher : UNPERBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54199/pjeb.v2i2.143

Abstract

The success of a country in developing its economy is characterized by the value and growth rate of gross domestic product (GDP). Exports can encourage a country's GDP growth. Plantation is one of the agricultural sub-sectors that has an important influence on Indonesia's development into the developing country it is today. The large number of coffee plantations makes Indonesia one of the largest coffee producing countries in the world after Brazil, Vietnam and Colombia. There are several local coffees that are known throughout the world, including Gayo coffee, Toraja coffee, Lampung coffee and Aceh coffee. Increasing Indonesian exports is always pursued with various strategies, including export expansion strategies, especially non-oil and gas products to encourage economic growth. This research aims: (1) to find out how coffee exports have developed in Indonesia for the period 2011 to 2020. (2) to know the contribution of coffee exports to GDP in the plantation sector in Indonesia for the period 2011 to 2020. This research uses a case study method with a quantitative approach. The data used is secondary data for the period 2011 to 2020, namely coffee production volume for the 2011-2020 period, GDP in the plantation sector for the 2011-2020 period, volume and value of Indonesian coffee exports for the 2011-2020 period, volume and value of cocoa, palm oil and rubber exports for the period. 2011-2020. The analysis used is descriptive statistical analysis and analysis of the contribution of coffee exports to GDP in the plantation sector. The research results explain that: (1) The development of Indonesian coffee exports is fluctuating with a downward trend. The average Indonesian coffee export was 693,136 tons per year during the period 2011 to 2020. (2) Coffee exports made a positive contribution to increasing GDP in the plantation sector in Indonesia, compared to exports of other plantation commodities such as palm oil, cocoa and rubber. The average contribution of coffee exports to GDP in the plantation sector in Indonesia was 3.13 percent per year during the 2011 to 2020 period.
Co-Authors Bintang Panunggul, Victor Had, Iqbaluddin Syam Hendri Putranto, Afif Maulana Baihaqi, Wiga Noviani, faizah Syaiful Anwar, Agus Setiadi, Suwali,